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Creating and Evaluating the Predictive Utility of Risk Phenotypes for Bipolar Spectrum Disorders in Adolescence

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NIMH - National Institute of Mental Health

PROJECT SUMMARY/ABSTRACT: Bipolar spectrum disorders (BSDs) are associated with major personal and public health burdens. Despite this heavy burden, the etiology of BSD is not fully understood. Further research on risk factors for BSD during adolescence, when likelihood of first onset of a BSD is highest, is needed to understand how BSD onset and symptoms can be better predicted and interventions delivered earlier. Determining the degree of risk for BSD conferred by various predictors is a vital step toward creating intervention and prevention programs that can identify individuals most at risk in order to reduce the likelihood of BSD onset, delay onset, or lessen course severity. Extant research has established several person-level factors that confer risk and influence dysregulation throughout the course of BSDs. The social and circadian rhythm model of BSDs posits that social and circadian rhythm dysregulation can result in mood symptoms and episodes. In another separate line of research, evidence suggests that hypersensitivity to rewards confers risk for BSDs. Researchers have suggested that the reward and circadian models of BSD risk and course can be combined into a joint, bidirectional model, such that disturbance in one of these systems, through a feedback loop, may promote dysregulation in both systems, contributing to mood symptoms and episodes. Additional theoretically and empirically supported predictors can be combined statistically with reward and circadian factors to better predict risk of bipolar symptoms. These factors include family history of BSDs, hypomanic personality, higher trait impulsivity, exposure to childhood adversity, affective lability, and substance use. However, the means by which predictive factors may be combined to better inform risk for bipolar symptoms is poorly understood. Although myriad risk factors for BSDs have been identified, little work has been done to statistically integrate information obtained through a multimodal approach to determine which individuals are most at risk. Thus, the proposed project seeks to evaluate empirically derived risk groups based on multimodal assessment of multiple risk factors for BSD during adolescence, a critical developmental period in which onset of BSDs is most likely. I will use participants from my sponsor's R01 study, which aims to examine the interplay of reward and circadian factors longitudinally to predict first onset of BSDs, add measures of additional risk factors, and statistically integrate these multimodal risk indicators with latent class analysis to evaluate the predictive utility of empirically-derived risk groups. My sponsors and I have designed a training plan involving coursework, workshops, experiential learning, and mentorship that will allow me to develop greater expertise in the development of mood pathology, learn advanced statistical methods required for this project, and gain the skills necessary for my future career as an independent clinical scientist. The proposed study will take place in Temple University's clinical psychology Ph.D. program, which has a successful track record of conducting impactful NIH-funded research and training clinical research scientists.

Up to $36K
2027-05-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Cytokine-mediated tuning of neural circuits underlying avoidance behavior

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NIMH - National Institute of Mental Health

PROJECT SUMMARY Neuropsychiatric disorders, prevalent in nearly half of the U.S. population over a lifetime, are increasingly linked to immune dysregulation. Among these, allergic inflammation has emerged as a key contributor, highlighting an understudied connection between the immune system and mental health. Animal models reveal a causal relationship between allergic inflammation and heightened avoidance behaviors, a core symptom of mood and anxiety disorders. Unlike predominantly studied bacterial or viral immune challenges, allergic inflammation represents a distinct T helper cell type 2 (TH2)-mediated response triggered by nonpathogenic environmental stimuli, which activates emotion-related brain centers, including the medial prefrontal cortex (mPFC) and basolateral amygdala (BLA). These regions are critical for regulating social and anxiety-like behaviors. Converging evidence positions interleukin-4 (IL-4), a key TH2 cytokine elevated during allergic inflammation, as a potential modulator of mPFC circuits and their projections to the BLA, driving avoidance behaviors. This project seeks to determine how IL-4 impacts mPFC dynamics and contributes to heightened avoidance during allergic inflammation. In Aim 1, we will investigate the quantitative relationship between mPFC IL-4 and avoidance behavior during allergic inflammation, identify local IL-4-producing cell types, and determine the impact of heightened mPFC IL-4 on mPFC-BLA responses during avoidance. In Aim 2, we will examine how IL-4 modulates mPFC microcircuit activity and alters mPFC-BLA output and its contributions to allergic inflammation-induced neuroadaptations, defining its role as a non-classical neuromodulator. In Aim 3, we will test the necessity of mPFC IL-4Rα in allergic inflammation-associated mPFC-BLA responses and avoidance behaviors. By integrating advanced molecular, cellular, and circuit-level approaches, this research will uncover novel cytokine-driven mechanisms underlying behaviors associated with neuropsychiatric disorders and identify new immune-based therapeutic targets to address these complex disorders.

Up to $708K
2030-12-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Data-driven Development of Clinically Translatable EHR-Based Models to Estimate Severe Mood Episode Risk for Young People with Bipolar Disorder

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NIMH - National Institute of Mental Health

Project Summary Bipolar disorder (BD) is among the deadliest and most costly psychiatric disorders in young people due to its severe and recurrent mood episodes of depression and mania which disrupt functioning, substantially increase the risk for suicide and premature death, and frequently require emergency or inpatient care. As each subsequent mood episode worsens prognosis, prevention of severe mood events in young people with BD is central to mitigating its enormous personal and societal burden. However, prevention is hindered by the lack of widely deployable tools to identify which affected individuals are at risk of a severe mood crisis event within a specific interval and which can guide individualized care. Through this mentored K23 award, the candidate, a PhD-prepared psychiatric nurse practitioner, will build upon her background in early intervention for BD, data- driven analytic approaches, and qualitative methods. Her program of training and research are designed to leverage real-world data and advanced analytic machine learning methods to efficiently identify young individuals with BD at risk for severe mood events and develop a deployment-focused clinical decision support intervention in partnership with clinicians and patients that could be rapidly translated to clinical care (NIMH Strategic Objectives 4.1 and 4.2). Through planned training activities, the candidate will gain a strong skillset in advanced predictive analytics and machine learning using electronic health record (EHR) and administrative data, mixed methods for stakeholder engaged intervention development, embedded health systems research, and BD clinical epidemiology. She will leverage robust, longitudinal health system data from two learning healthcare systems in the Mental Health Research Network, HealthPartners and Kaiser Permanente Northern California, and engagement with clinicians and patients where care is delivered. In Aim 1, rigorous machine learning methods will be used to estimate risk of severe mood crisis events, as indicated by mood-related inpatient hospitalization or emergency visits, over six-month intervals based on rich longitudinal EHR and claims data in a large sample of over 13,200 young patients with BD aged 15-39 years. In Aim 2, to maximize the translational impact of the models, clinicians and patients will be engaged, using a modified Delphi approach and qualitative interviews, in development and evaluation of a clinical decision support tool to guide personalized prevention and early intervention for BD mood crises. This research is a critical step in the candidate's long-term goal of leveraging data-driven approaches to improve individualized, patient-centered delivery of mental health services for individuals in the early course of BD and other serious mental illnesses. Her clinical and research background, expert mentoring team, and embedded research environment ideally positions her to accomplish the research and training aims, building the foundation for a next-step R01 that will externally validate and rigorously evaluate the risk prediction models and decision support tool developed in this proposal.

Up to $200K
2031-03-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Decoded fMRI neurofeedback for auditory verbal hallucinations in schizophrenia

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NIMH - National Institute of Mental Health

Auditory verbal hallucinations (AVH) are among the most distressing and common symptoms of psychotic disorders, including schizophrenia. Persistent AVH predicts poor outcomes including suicide. Antipsychotic drugs, the primary treatment for AVH, are ineffective in ~1/3 of patients and often abandoned due to severe side effects related to off-target drug effects. Thus, there is an urgent need to develop new treatments that are more selective and better tolerated—and ideally personalized. Decoded neurofeedback (DecNef) is a novel, well-tolerated fMRI neurofeedback technique that allows individuals to modify their brain activation patterns in real time, through implicit trial-and-error learning, based solely on feedback indicating how similar their current activation pattern is to a target pattern. DecNef could thus provide a novel therapeutic avenue for selectively reshaping local brain-activation patterns associated with AVH, thereby decreasing AVH symptoms. The intermittent nature of AVH enabled “symptom-capture” functional-neuroimaging studies by our group and others that consistently showed increased activation in speech-selective regions of auditory association cortex concurrent with AVH events. These studies motivated neuromodulation interventions—using tDCS, rTMS, and conventional real-time fMRI neurofeedback—aiming to reduce activation or excitability at a coarse regional level, which had limited success. Our recent data shows that more granular activation patterns within speech- selective auditory cortex distinguish AVH from non-AVH silent events, and from speech-evoked responses, and do so in a subject-specific manner—with activation patterns being more informative than overall activation. Among existing neuromodulation tools, DecNef is uniquely suited to selectively target these granular within- region activation patterns relevant to AVH, and to do so using personalized targets. Given this, the proposed two-phase project aims to test personalized DecNef training for AVH, first evaluating target engagement and tolerability (R61) and then clinical benefit for AVH amelioration (R33). Individuals with schizophrenia with treatment-resistant AVH will undergo fMRI DecNef training based on subject-specific active (non-AVH) or control (speech location) activation patterns. Go/No-Go criteria for the R61 will include significant within-subject engagement of the target pattern with active DecNef training (with greater expression than in the control group), preliminary evidence for AVH improvement, and a low discontinuation rate (<25%). In the R33, patients will undergo a double-blind, controlled (active DecNef vs. control DecNef) parallel randomized clinical trial evaluating efficacy for AVH amelioration. Optimal dosing (number of sessions) will be informed by R61 data. We will also evaluate the relationship between target engagement and AVH improvement (target validation). We expect this work to provide an initial validation of personalized DecNef as a novel, safe, and selective circuit intervention for AVH in schizophrenia, and to pave the way for a broader use of this technique for psychosis across neuropsychiatric disorders—and for severe mental illness more generally.

Up to $1.5M
2028-03-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Deep phenotyping of sleep and symptoms in adolescents with psychosis-spectrum conditions

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NIMH - National Institute of Mental Health

PROJECT SUMMARY Adolescents experiencing psychosis-spectrum (PS) symptoms are at high risk for lifelong mental illness and impairment, including conversion to schizophrenia. Mechanisms influencing the onset or persistence of PS symptoms in adolescence are unclear. Sleep is altered in youth at clinical high risk for psychosis (CHR) compared to controls, and sleep problems may predict the transition to full-threshold psychosis and persist in first episode psychosis (FEP). Studies of sleep and PS symptoms in youth suffer from three main gaps. First, extant studies are overly correlational, with few studies using dense sampling across days to understand temporal fluctuations between PS symptoms and sleep in youth. Second, nonspecific behavioral indices of sleep (from self-report and actigraphy) may reveal the clinical presentation of sleep deficits but not the root mechanistic cause of these difficulties. Finally, studies of sleep in this population have omitted measurement of important co-occurring processes such as stress, which may mediate or moderate the sleep-psychosis relationship in ways important for treatment development. This study seeks to address these three critical gaps by investigating daily fluctuations in PS symptoms, sleep at behavioral and neurobiological levels, and psychological stress in adolescents with PS conditions (n = 40, aged 14-17 years). Across a 3-week sampling period, this study will measure PS symptoms (hallucinations and paranoia), subjective ratings of stress, and objectively measured sleep characteristics, including behavioral (actigraphy-estimated sleep duration, fragmentation, efficiency, timing, rhythmicity, and regularity) and biological (simultaneous PSG/EEG-indexed sleep spindle density, amplitude, duration) markers. Participants will first complete a baseline interview to assess eligibility, PS symptoms, sleep, and stress. For the subsequent 21 days, adolescents will (1) wear a patch-based actigraphy monitor to assess sleep and 24h rest-activity rhythms; (2) complete twice-daily digital diaries probing sleep, stress, as well as PS symptom type (e.g., hallucinations and paranoid thoughts), severity, impairment, and timing; and (3) wear PSG and wearable EEG for 2 consecutive nights to index sleep spindles. This measurement supports 2 specific aims: 1) Examine how subjective ratings of PS symptoms and stress fluctuate with respect to sleep on a daily basis, and 2) Examine the feasibility of collecting at-home EEG data from adolescents with early phase psychosis and establish early links among spindles, PS symptoms, and stress. This study aligns with NIMH objectives to 1) define brain mechanisms underlying complex behavior by characterizing sleep spindles in early psychosis, and 2) examine mental illness trajectories across the lifespan by exploring these mechanisms in an understudied adolescent population. If successful, this will be the first study to employ deep phenotyping of sleep in adolescents with early phase psychosis.

Up to $399K
2028-06-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Defining optimal memory modulation windows: isolating the causal role of distinct post-learning awake periods to human memory consolidation

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NIMH - National Institute of Mental Health

PROJECT SUMMARY Memory abnormalities are a core feature of psychiatric and neurological disorders, as well as in aging. Persistent negative memories are a hallmark of Post-Traumatic Stress Disorder (PTSD) and are prevalent in anxiety disorders, while memory retention can be impaired in aging and other conditions. Thus, effective approaches to strategically modulate memory strength would enhance mental health and cognition across broad populations. Memory consolidation mechanisms represent a key opportunity for targeted memory modulation. While traditionally studied during sleep, recent research highlights the importance of consolidation during wakefulness, providing a new window of opportunity for strategic memory modulation. However, most human studies on awake consolidation focus on narrow time periods immediately post-learning and a single state (rest), making it unclear when consolidation peaks during wakefulness and thus when interventions should be applied for maximum effectiveness. Yet, recent work suggests that consolidation may peak: 1) multiple hours, not minutes, after learning and 2) during internally-oriented rather than externally-oriented states of high vigilance. The central goal of this research is to determine when memory consolidation maximally occurs during wakefulness, identifying effective time windows and cognitive states for memory modulation. Based on the emerging literature, we test the overarching hypothesis that memory consolidation varies across wakefulness. In two Aims, we systematically decompose awake post-learning periods to determine when memory consolidation is maximal across two key factors: extended time window (Aim 1) and cognitive state (Aim 2). In each Aim, we use an innovative combination of advanced fMRI methods and causal manipulations to measure and test the differential contribution of distinct time windows (Aim 1) and cognitive states (Aim 2) to consolidation. To determine when consolidation is maximal over time, in Aim 1A, we will measure consolidation across multiple extended post-learning time windows using cutting-edge fMRI methods, thus isolating windows with the strongest and weakest consolidation evidence. We will then test whether causal disruption of the strongest vs. weakest time windows differentially impairs memory using a combined Transcranial Magnetic Stimulation (TMS)+fMRI approach (Aim 1B). In Aim 2A, to test whether consolidation is most prevalent during internally focused states, we will measure consolidation evidence via fMRI while attention is directed internally vs. externally using a validated task paradigm. We will then test whether causal induction of consolidation (via cued reactivation) and its impact on memory is more robust during internally vs. externally-oriented states (Aim 2B). The proposed work will collectively characterize how consolidation varies across wakefulness, resulting in the identification of time windows and cognitive states to target for strategic memory intervention. This will enable future work to probe the potential of impacting memory consolidation in clinical and non-clinical populations, moving towards the goal of strategic memory modulation in stress and trauma research.

Up to $746K
2031-02-28
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Democratizing Discovery in Spatial Transcriptomics Through the Brain Image Library.

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NIMH - National Institute of Mental Health

ABSTRACT The Brain Image Library (BIL) serves as a central repository for advanced microscopy data, ensuring valuable neuroscience datasets are preserved and shared following FAIR principles. While BIL successfully handles traditional microscopy data, it currently lacks specialized tools for spatial transcriptomics datasets, which present unique computational challenges due to their high dimensionality and complex metadata structures. This project will develop essential computational infrastructure to make spatial transcriptomics data in BIL more accessible and analyzable for the broader neuroscience community. We will implement four key components: (1) standardization of data submission and storage using the community-supported Spatialdata format, enabling efficient handling of large-scale molecular data with coordinate system transformations and alignment capabilities, (2) development of an intuitive browser-based visualization system that allows researchers to explore gene expression patterns through interactive scatter plots and maps with density-based rendering, (3) creation of a natural language search interface leveraging Large Language Models for complex queries across molecular and anatomical parameters, and (4) integration of foundational models for automated cell type annotation and metadata generation. By standardizing data organization and providing intuitive exploration tools, this work will maximize the reuse potential of these valuable datasets and lay the groundwork for future cross-modality analyses that combine molecular and imaging data to generate new biological insights.

Up to $88K
2029-03-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Designing and testing a brief single-session intervention for adolescents with depression

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NIMH - National Institute of Mental Health

PROJECT SUMMARY/ABSTRACT Rates of adolescent depression are increasing, and 20% of adolescents in the United States now experience a depressive episode each year. Effective treatments exist, but most adolescents with depression do not receive them because they prefer to self-manage their symptoms, cannot access treatment, or perceive treatment to be too time-consuming or inconvenient. Delivering interventions digitally (i.e., through the internet or a smartphone application) is scalable, accessible, efficacious, and appealing to adolescents. However, digital interventions have low real-world uptake and engagement, and many users drop out in the first few minutes. Single-session interventions (SSIs) address these critical limitations by delivering an entire intervention in a single encounter and have shown promise for engaging mechanisms of action and ameliorating adolescent depression. Therefore, this project will adapt a gold standard treatment for adolescent depression – interpersonal psychotherapy for adolescents (IPT-A) – into a brief, web-based SSI. To reach adolescents with depression, this study includes a partnership with Mental Health America (MHA), a nonprofit advocacy organization that hosts a widely used online depression screen on their website. A deployment-focused approach will be utilized, with a focus on implementation on MHA’s screening website. Aim 1 will design the SSI based on pilot data and in consultation with experts in SSI design and IPT-A, an advisory board of adolescents and providers, and MHA staff. Aim 2 will refine the SSI by iteratively soliciting and incorporating feedback from three cohorts of five adolescents with depression (total n=15) recruited after screening positive for depression on MHA’s website. Among adolescents (n=200) screening positive for depression on MHA’s website, Aim 3 will evaluate the SSI’s acceptability, feasibility, immediate effects on the mechanism of action (interpersonal skill knowledge), and effects on depressive symptoms in a randomized controlled trial with follow-up assessments at 1 week, 1 month, and 3 months. In addition to directly addressing an important public health problem, this project includes training and research activities that will enable Dr. Funkhouser to gain expertise in: (1) digital mental health intervention design methods, (2) implementation science principles and methodologies, (3) clinical trials evaluating digital mental health interventions, and (4) grant writing and networking. The research aims and training goals will be accomplished with mentorship from leading experts in SSIs, implementation science, biostatistics, and IPT-A. This training and mentorship will also prepare Dr. Funkhouser to submit a R01 application and achieve his long- term career goal of becoming an independent investigator focused on designing, evaluating, and disseminating digital depression interventions that increase young people’s access to and utilization of effective support.

Up to $180K
2031-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Determining the mechanisms and therapeutic potential of novel cholinergic antipsychotics

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NIMH - National Institute of Mental Health

PROJECT SUMMARY/ABSTRACT Excess dopamine in the dorsal striatum is thought to be a key driver of schizophrenia. Accordingly, there is a strong corre- lation between the potency of antipsychotic drugs and their affinity for D2 dopamine receptors (D2Rs). However, tradi- tional D2R-binding drugs are not effective for psychosis in ~30% of patients, do not address cognitive and negative symp- toms, and have many adverse effects. Recently, several new therapies have emerged that do not interact with D2Rs. These include promising drugs like xanomeline, an agonist of M1 and M4 acetylcholine receptors. One promise of this new drug class is its potential to work for more patients and address more symptoms than traditional antipsychotics. Capitalizing on this novel therapeutic mechanism requires a deeper understanding of how the drug class works. Recently, our lab used in vivo imaging to determine how two of these drugs (xanomeline and the M4 receptor selective modulator VU0467154) compare to more traditional antipsychotics. Paradoxically, we found that clinical antipsychotic efficacy was more strongly associated with the normalization of activity in striatal neurons that express D1 rather than D2 dopamine receptors (Yun et al., 2023). This was true for both traditional antipsychotics and the newer cholinergic receptor agonists—suggesting the two drug classes may have partly overlapping end effects in the brain. In parallel to these imaging studies, we developed two approaches to selectively activate (either transiently or persistently) dopamine projections to the dorsal striatum. Both approaches affect behavioral processes related to the symptoms of schizophrenia and are compatible with in vivo record- ing. Here will combine these models with in vivo imaging or microdialysis to understand the mechanism-of-action of novel cholinergic antipsychotics and use behavioral testing to explore the range of symptoms for which they may be ef- fective. Specifically, we will use dual-color in vivo imaging to simultaneously record striatal acetylcholine transmission and calcium activity in D1 or D2 receptor-expressing spiny-projection neurons (SPNs). After determining how acetylcho- line relates to D1-/D2-SPN activity and how each relates to locomotor activity, we will activate nigrostriatal dopamine neurons and observe the effects on acetylcholine and D1-/D2-SPN activity. After determining these effects, we will ask how different cholinergic receptor agonists or modulators (xanomeline, M1 agonist, M4 agonist, or an M1 positive allo- steric modulator) affect the relationship between acetylcholine and D1-/D2-SPN activity under normal and hyperdopamin- ergic conditions. The drugs we will test will allow us to directly compare receptor-specific agonism and positive allosteric modulation in isolation or in combination. Next, we will use the same drugs with our animal model of persistent nigrostri- atal dopamine neuron activation. We will use in vivo microdialysis to determine how striatal neurochemistry is altered in these animals and how different cholinergic drugs affect these changes. Finally, we will use behavior (working memory, social exploration, and auditory perception) to determine whether different cholinergic drug types normalize different be- havioral processes in this animal model. Altogether we expect these experiments will advance this new therapeutic strat- egy for psychosis by elucidating the mechanistic basis for its effects on striatal activity, neurochemistry, and behavior. In doing so, we hope to catalyze the development of better and more comprehensive treatments for psychotic disorders.

Up to $781K
2030-12-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Determining the role of localized dopamine signals in learning

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NIMH - National Institute of Mental Health

Project Summary Neuromodulators like dopamine are crucial for learning, driving synaptic changes in neurons, and shaping behavior. Furthermore, dysfunction in dopamine signaling is a hallmark of almost all psychiatric disorders. Traditionally, dopamine was thought to broadcast diffuse signals across broad brain regions. However, emerging evidence points to a more targeted mechanism, where dopamine acts on specific neurons engaged in behaviorally relevant tasks. This proposal raises a critical question: How does a widely distributed neuromodulator like dopamine contribute to precise, neuron-specific learning? This project will explore how dopamine shapes learning in sparse cortical populations. We will use two-photon microscopy and genetically encoded sensors to simultaneously track dopamine release and neuronal activity in real-time as mice perform a neuroprosthetic control task. We will use this task because it allows us to directly identify the neurons that drive behavior, providing a unique opportunity to examine whether dopamine signals are more focused on task-relevant neurons. We will measure both dopamine release and the activity of specific neurons involved in behavior to determine whether dopamine shapes learning at a single neuron level or across broader networks, and what type of information can be conveyed by dopamine signals at different levels of spatial resolution. This study will help us better understand the brain mechanisms underlying learning by revealing fundamental mechanisms of how dopamine modulates neural circuits. Our results will help us understand how disruptions in these processes contribute to conditions like depression, schizophrenia, and addiction, which involve pathological learning. This research could lead to more targeted therapies focusing on dopamine-related brain circuits, ultimately offering better treatment options for people with cognitive dysfunction and maladaptive behavioral patterns.

Up to $410K
2028-03-14
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Developing a Measure to Characterize Suicide-Related Disclosure Processes in Adolescents and Caregivers

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NIMH - National Institute of Mental Health

PROJECT SUMMARY/ABSTRACT Current estimates hold that only 50% of individuals who die by suicide disclose their suicidal thoughts to anybody before death, making detection of high-risk individuals challenging. However, past research has only assessed direct forms of disclosure (i.e., explicitly telling somebody about thoughts of suicide), and may not capture indirect disclosure, whereby disclosure occurs euphemistically or vaguely (e.g., “I’m worried I might do something stupid”). Evidence has shown that indirect disclosure may serve as a proximal risk factor for suicide, indicating its importance as a potential point of intervention. However, indirect disclosure has not been previously characterized in the literature, and its prevalence is unknown. Most critically, no standardized assessment tool exists to detect or characterize indirect suicide-related disclosure. The field’s limited understanding of suicide- related disclosure critically limits clinicians’ and loved ones’ ability to detect risk, meaning that vital “cries for help” may go unnoticed and opportunities for prevention missed. The proposed project will refine and pilot a multi- informant, self-report measure to dyadically characterize direct and indirect suicide-related disclosure in adolescents and their caregivers. Adolescents and their caregivers will be recruited from a psychiatric inpatient unit on the basis of a recent suicidal crisis. Parent-adolescent dyads will complete qualitative interviews assessing disclosure in the period preceding the suicidal crisis, providing information about the content, function, and consequences of disclosure as well as caregivers’ detection of disclosure and response to it. Participants will also provide feedback on a preliminary, multi-informant measure characterizing disclosure processes. The measure will be revised in response to participant feedback and piloted in a new sample of parent-adolescent dyads, who will also complete one month of ecological momentary assessment probing family support. Analyses will test whether disclosure predicts improvements in family support over time, and whether this effect is moderated by parents’ detection of an adolescent’s disclosure. Results may ultimately inform interventions to both promote more adaptive help-seeking in suicidal adolescents, and to train caregivers to respond appropriately. A training plan has been developed that consists of coursework and mentorship in qualitative research methods, research conduct with suicidal individuals, measure development, and statistics for intensive longitudinal methods to build the applicant’s expertise in carrying out research in suicidal populations.

Up to $50K
2028-06-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Developing a Multimodal Intervention for Individuals with PTSD and Hazardous Alcohol Use in Federally Qualified Health Centers

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NIMH - National Institute of Mental Health

PROJECT SUMMARY/ABSTRACT This K23 award will facilitate Dr. Grau’s transition into an independent investigator who develops and tests scalable interventions with attention to health disparities to meet the variation in needs among individuals with post-traumatic stress disorder (PTSD) and hazardous alcohol use (HAU). Targeted research and training activities will extend his knowledge and build his expertise in developing and testing scalable interventions that integrate therapist-delivered and digital components to effectively engage and treat patients with PTSD+HAU in under resourced community settings like Federally Qualified Health Centers (FQHCs). Training: Dr. Grau proposes a comprehensive training plan with the following training aims: (1) Develop expertise in mobile health interven-tions, (2) Gain skills in qualitative data collection and analysis and (3) Acquire key skills in and knowledge of optimization trial design and conduct. Context: PTSD is an extremely damaging psychiatric condition when left untreated, especially for individuals with low-income who are served in FQHCs. Brief, modified evidence-based PTSD treatments are effective and feasible in FQHCs; however, co-occurring problems, most notably HAU, negatively impact treatment engagement and effectiveness. As such, there is a critical need to develop scala-ble interventions that treat PTSD+HAU while maximizing engagement in under resourced community settings such as FQHCs. Responsive to the NIMH Strategic Plan, Goal 3 (Strive for Prevention and Cures), Objectives 3.2 (Develop strategies for tailoring existing interventions to optimize outcomes), and 3.3 (Test interventions for effectiveness in community practice settings), the overall research objective is to develop and test a multimodal intervention that integrates therapist-delivered and digital interventions to treat PTSD+HAU in FQHCs. Re-search Plan: Aim 1 will assess the feasibility and acceptability of three stepped care, therapist-delivered inter-vention components for PTSD+HAU in our partner FQHC. Aim 2 will refine the therapist-delivered components and develop digital components (e.g., personalized text messages) in preparation for a PTSD+HAU hybrid ex-perimental design (HED). Aim 3 will assess the feasibility, acceptability, and preliminary effectiveness of a PTSD+HAU HED in FQHCs combining therapistdelivered and digital interventions to maximize engagement in treatment. Aim 3 results will inform a fully powered HED (future R01 submission) to create a multimodal adap-tive intervention for PTSD+HAU with patients in community health settings. Key innovations include state-of-the-art training, PTSD+HAU scalable intervention development with real world patients in community settings, and use of the HED design. Optimization of adaptive interventions for community patients with PTSD+HAU is a critical next step and will have significant impact on PTSD treatment in FQHCs.

Up to $173K
2031-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Developing A Shared Decision Support Tool For Black And Latino Men And Their Providers To Increase Prep Uptake And Adherence

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NIMH - National Institute of Mental Health

The proposed research study seeks to address the disproportionately high rates of HIV among young adult Black and Hispanic/Latino men who engage with men (YBLMM) in the United States by increasing pre-exposure prophylaxis (PrEP) uptake and adherence among this population. Despite the effectiveness of PrEP in preventing HIV, its uptake and adherence among this population remains suboptimal due to various barriers, including inequitable patient-provider power dynamics. Researchers have recommended the development of PrEP decision aids (PDAs) to facilitate shared decision-making between patients and their providers; however, none have been developed for YBLMM-provider dyads. Dr. Laughney's research aims to develop, implement, and evaluate a tailored PrEP decision aid (PDA) for YBLMM and their providers to increase the uptake of PrEP among this population. The study is designed with three primary aims: 1) Identify key factors that affect decisions about the uptake of PrEP modalities among YBLMM by conducting in-depth interviews with YBLMM (n=20) and their providers (n=10) to generate novel PrEP PDA content that will be used to develop an “alpha” prototype of the PrEP PDA; 2) Design an “alpha” prototype of a web-based PrEP PDA using the key factors identified in Aim 1 and develop the “beta” version of the PDA through iterative feedback from YBLMM (n=10) and providers (n=10) using in-depth interviews; 3) Evaluate the feasibility, acceptability, and appropriateness of the beta PrEP PDA among YBLMM (n=40) and providers (n=10) in a one-arm pilot trial using mixed methods to evaluate the PDA tool use in clinical settings across 6 months. YBLMM and provider dyads will be created, with one provider being paired with four YBLMM participants, resulting in 40 dyads. These preliminary data will inform the development of an R series grant that will evaluate the effectiveness of the PDA at increasing PrEP uptake and adherence among YBLMM. This proposal includes comprehensive training goals to support Dr. Laughney's development as an independent researcher specializing in HIV prevention among YBLMM. Training goals include: 1) Advance knowledge of and develop expertise in shared decision-making in minority men’s health; 2) Obtain and apply training in mixed methods for HIV prevention, specifically to inform the design of a PrEP PDA; 3) Learn how to design and develop a web-based PrEP patient decision aid tailored for YBLMM and their providers; and 4) Learn how to design, pilot, evaluate, and refine behavioral interventions that use HIV prevention decision-making tools. Dr. Laughney will collaborate with a multidisciplinary mentorship team to guide hands-on research, readings, professional development, and coursework to support the candidate’s research aims and training goals.

Up to $183K
2031-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Developing a Single-Session, Peer-Delivered Internalized Stigma Reduction Intervention for Individuals with Polysubstance Use in Rural Maryland

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NIDA - National Institute on Drug Abuse

Project Summary/Abstract Rural communities bear a disproportionate burden of opioid and stimulant use, yet many individuals face challenges engaging in and sustaining treatment. Stigmas surrounding substance use disorder (SUD) and medication for opioid use disorder (MOUD) pose substantial obstacles to both engagement in care and achieving optimal treatment outcomes, such as retention and sustained recovery. Internalized stigma, in particular, has been linked to a higher likelihood of overdose. Patients in rural areas describe internalized SUD and MOUD stigmas as significant obstacles to recovery and other treatment outcomes (e.g., retention, continued use, mental health) in recent qualitative work, which are often compounded by stigma related to polysubstance use. Thus, there is a clear need to develop novel solutions for decreasing internalized SUD and MOUD stigmas within under-resourced, rural communities. Peer recovery specialists (PRSs), or individuals with lived experience in SUD and recovery, may be a unique solution to shifting stigma through sharing their lived experience and normalizing the experience of living with or in recovery from a SUD. While research supports PRS-delivery of brief evidence-based interventions, recent evidence also suggests that PRS-contact through non-stigma focused interventions may not be sufficient in sustaining long-term decreases in internalized stigma. Interventions to target internalized SUD and related stigmas, such as acceptance and commitment therapy (ACT), have shown promise in decreasing internalized stigma and its associated consequences (e.g., avoidance, shame), even when delivered in brief formats. However, these interventions are often limited to high-resource settings. Given the vast resource constraints in rural contexts, a brief PRS-delivered intervention for stigma reduction may be particularly feasible in increasing access to evidence-based care and reducing internalized SUD and MOUD stigmas. Thus, this study aims to: (1) evaluate patient-perceived appropriateness and potential obstacles and facilitators in the implementation of the proposed intervention in an under-resourced, rural context using a qualitative approach with MOUD patients and staff (N = 30); (2) iteratively adapt the proposed intervention and implementation strategies with three structured co-creation sessions (N = 12), guided by ADAPT-ITT and human- centered design principles; and (3) guided by ADAPT-ITT’s theater testing approach, evaluate the feasibility and acceptability of the adapted intervention components using mixed methods (N = 15).

Up to $107K
2028-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Developing A Strategy Bundle to Prepare, Implement, and Scale Integrated Perinatal Opioid Use Disorder Care in Healthcare Systems

open

NIDA - National Institute on Drug Abuse

ABSTRACT The overarching goal of this Mentored Career Development Award (K01), responsive to PAS-22-206, is to support me in my development as an independent investigator focused on improving behavioral healthcare for mothers, their children and families. The proposed study focuses on the hundreds of thousands of U.S. women with opioid use disorder (OUD) who are pregnant or parenting children up to age 5 (“mothers with OUD”), a critical period of development for children and elevated motivation for OUD recovery in mothers. OUD severely impairs a person’s ability to function as a healthy parent and thus continues generational trauma and challenges that could be mitigated with treatment. Yet, mothers with OUD face significant punishment (child custody loss, involuntary commitment) and therefore avoid healthcare engagement and OUD treatment. However, these consequences have been lessening as more professionals recognize the benefits of harm reduction and trauma-informed approaches; it is time to better engage mothers with OUD in appropriate care. Integrated care, a multidisciplinary team that provides substance use, mental, and medical healthcare; social work; peer recovery and doula services, has been shown to be the most effective approach for mothers with OUD, but it is difficult to implement due to historical inertia keeping these services separate and other barriers. Research supporting effective implementation is needed. This innovative proposal will build on my strong clinical background treating substance use in families and my research experience with implementation science and integrating behavioral health into medical settings. It will support me in achieving three training goals: 1) Establish expertise in applied implementation research in health systems including EHR data management and usage, 2) Establish expertise in comprehensive perinatal addiction services and 3) Develop competency in multisite clinical and implementation trials methodology. These skills will allow me to achieve the following study aims: 1) Develop a feasible multi-level implementation strategy bundle for integrated care for mothers with OUD by piloting and adapting implementation strategies at Hennepin Healthcare, 2) Develop a micro-theory of implementing integrated care for mothers with OUD by interviewing key informants at successful programs, and 3) Finalize the implementation protocol for a future multisite implementation trial with prospective sites. My expert mentoring team includes two addiction medicine physicians, one specialized in substance use in pregnancy (Jones) and the other an experienced clinical trialist and PI of a NIDA CTN node (Bart); a psychologist with expertise in clinical and implementation trials related to substance treatment within healthcare systems (Japuntich), and an implementation scientist with experience implementing substance use treatment across the VA healthcare system (Hagedorn). Additional advisors in perinatal psychiatry (Kim) and biostatistics (Langworthy), and institutional resources, mean I will have the full support and knowledge needed to successfully complete my training and study aims and achieve R01-level funding to conduct a multisite trial.

Up to $193K
2031-06-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Developing an AI-Guided Triculture Platform to Model NeuroHIV specific Microglial States Under ART Suppression with CellPaint/Morphological and Transcriptomic Readouts

open

NIMH - National Institute of Mental Health

Abstract Despite antiretroviral therapy (ART), HIV-associated brain injury (HABI) persists in over half of people with HIV (PWH), manifesting as chronic cognitive impairment. While HIV-1 primarily infects microglia, driving central nervous system (CNS) neuroinflammation, current preclinical models do not recapitulate the chronic, suppressed infection characteristic of the ART era. Furthermore, they do not capture complex patient genetics and multicellular, glial and neuronal, interactions in a scalable and efficient manner. To address this need for more physiologically relevant models, we propose the development of an AI-guided triculture platform comprising major CNS cell types. This platform will use induced pluripotent stem cell (iPSC)-derived microglia, astrocytes, and neurons, using both morphological profiling and other omics-based profiling to model HABI under ART suppression. AI/machine learning (ML)-driven analysis of cellular morphology, combined with multi-omic data integration, will facilitate rapid classification and prediction of microglial functional states and their impact on neuronal health. Leveraging Modulo's established triculture system, previously successful in yielding therapeutic candidates for amyotrophic lateral sclerosis/frontotemporal dementia (ALS/FTD) currently in Investigational New Drug (IND)-enabling studies, we will construct a scalable HABI model under ART suppression. Our objectives are to (1) develop and validate an HIV-infected, ART-suppressed triculture platform, utilizing AI/ML-driven morphological profiling to classify HABI-specific microglial states; and (2) comprehensively characterize this model through neuroinflammatory profiling, behavioral correlates, and integration with publicly available HABI patient datasets. We hypothesize that our combined computational lab-based triculture system can effectively model HABI pathophysiology under ART conditions, enabling both rapid disease state classification and identification of therapeutic targets. Through the integration of experimental and computational approaches, this platform will provide insights into HABI mechanisms and accelerate therapeutic development. We will disseminate this model to the scientific community through publication and collaboration. Connecting in vitro modeling with patient outcomes offers a powerful tool for investigating neuroimmune dysfunction in HIV and related neurological disorders. Successful implementation will yield a platform for modeling neuroHIV under ART suppression, advancing our understanding of disease mechanisms and facilitating the discovery of novel therapeutic strategies for PWH with cognitive impairment.

Up to $1.5M
2028-02-29
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Developing and Evaluating a Firefighter Self-Administered Neurostimulation Intervention for Traumatic Stress to Reduce Alcohol Use

open

NIAAA - National Institute on Alcohol Abuse and Alcoholism

PROJECT SUMMARY Background. Firefighters are repeatedly exposed to potentially traumatic events and many experience posttraumatic stress (PTS) symptoms as a result. Over 50% of firefighters report past-month heavy alcohol use and many use alcohol to “self-medicate” from symptoms of hyperarousal, intense negative affect, and insomnia that follow traumatic events. Transcutaneous auricular neurostimulation (tAN) of the vagus nerve has shown promise for alleviating symptoms of PTS and opioid withdrawal symptoms but its effects have yet to be tested in a sample of firefighters with alcohol use disorders (AUD) and co-occurring PTS symptoms. Aims. We will collaborate with a firefighter Community Advisory Board to develop a culturally informed, Phase II randomized clinical trial (RCT) protocol testing tAN as an intervention that may reduce PTS symptoms driving heavy alcohol use for firefighters with AUD (Aim 1; Year 1). We will then conduct a feasibility trial of the protocol (Aim 2; Year 2; N = 20) using the Sparrow device—a patient-administered, ear worn device that delivers electrical stimulation to branches of the vagus and trigeminal nerves—to evaluate the acceptability and feasibility of the protocol, and the appropriateness of the tAN intervention for firefighters with PTS/AUD. Using data from the feasibility study, we will complete an FDA pre-submission with the revised trial protocol to support a PTS/AUD indication for Sparrow Ascent, finalize the protocol with FDA feedback, and write an R01 application for a fully powered Phase II RCT (Aim 3; Year 3). Methods. The feasibility trial will recruit firefighters who engage in heavy drinking, have at least a mild AUD, and report above-average PTS symptoms. Participants will use the Sparrow device for at least 1 hour/day for 5 days/week throughout the 4-week treatment phase, but may use the device more often if they wish. Participants in the active tAN condition (n = 10) will receive therapeutic stimulation from Sparrow; active sham participants (n = 10) will feel stimulation at the trigeminal site only, but below a therapeutic level. They will complete daily measures of traumatic event exposure (number and type), PTS symptom severity, alcohol use (standard drinks) and motivations (trauma-related drinking), and audio journals capturing their experience with symptoms and the device (e.g., helpfulness). Additionally, wearable sensors will record heart rate, heart rate variability, and sleep data throughout the intervention phase. Assessments immediately following treatment (Week 4) and one month later (Week 8) will measure protocol feasibility and tAN’s clinical effects outcomes including insomnia, mental health symptoms, and quality of life. Outcomes. The primary feasibility outcome is the mean of protocol ratings on the Feasibility of Intervention Measure. Secondary feasibility outcomes include ratings of protocol acceptability (Acceptability of Intervention Measure) and Sparrow Ascent appropriateness (Intervention Appropriateness Measure). Exploratory clinical outcomes include reductions in PTS symptom severity scores and heavy drinking events.

Up to $228K
2029-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Developing Cognitive Control and Metacognition to Reduce the Functional Impact of Restricted and Repetitive Behaviors in Autism

open

NIMH - National Institute of Mental Health

PROJECT SUMMARY ABSTRACT Effective interventions to reduce the functional impact of core features of autism spectrum disorder (ASD) in school-aged children are critically needed. This R61/R33 application proposes to test whether in-person computer training delivered individually by a coach engages an electroencephalographic (EEG) biomarker of cognitive control (N2 event-related potential [ERP] amplitude) and whether changes in the target neural response mediate the reduction of restricted and repetitive behaviors and interests. An extensive clinical and cognitive neuroscience literature documents reduced cognitive control among autistic children compared to neurotypical children and a relation between cognitive control and repetitive features of autism––providing a solid rationale for our training program. Based on this work, we predict that developing more effective cognitive control, metacognition, and working memory will enhance neural responses to conflicting information (i.e., a neural marker of effective cognitive control) and changes will correspond with decreases in restricted and repetitive behaviors and interests. The R61 study will randomly assign 95 autistic children (ages 8-11yrs) to a novel computer-based Cognitive Control Training combined with Metacognition Coaching or to a waitlist control group. Before and after intervention, EEG will be used to examine engagement of the target neural responses. We expect the group assigned to Cognitive Control Training + Metacognition Coaching to exhibit significantly larger changes in N2 ERP amplitude in incongruent relative to congruent trials than the waitlist group. If this hypothesis is supported, the R33 will be implemented and 140 autistic children (8-11yrs) will be randomly assigned to either: 1) Cognitive Control Training + Metacognition Coaching; or 2) MentalUP Educational Games, an active control condition that provides computer-based cognitive training. Both Cognitive Control Training + Metacognition Coaching and MentalUP will be delivered individually during 15 in-person sessions. Before and after intervention, we will collect neural responses and behavioral measures of cognitive control and working memory. We expect target engagement (greater differentiation of N2 amplitude) to be associated with reduced restricted and repetitive behaviors and interests. This study is innovative in several ways and has the potential for large clinical and scientific impact. It is the first study to examine a cost-effective computer-based cognitive control intervention for ASD that provides in-person metacognition coaching. This could increase functioning for autistic children at a time when intensive intervention delivery is waning. The study will use biomarkers and validated behavioral measures of cognitive control and metacognition in the context of an ASD clinical trial. Finally, the study will provide critical information about the relation between cognitive control and clinically relevant ASD outcomes, thereby providing insight into the mechanisms underlying behavioral challenges for autistic children. Promising results from this study would provide the basis for a larger clinical trial to investigate the efficacy of cognitive control training and mediators and moderators of its effects.

Up to $991K
2028-02-29
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Development of a Recovery-Oriented Suicide Prevention Intervention with Peers for Clinical High Risk for Psychosis

open

NIMH - National Institute of Mental Health

PROJECT SUMMARY/ABSTRACT This application responds to PAR-25-178 (Pilot Hybrid Effectiveness-Implementation Trials for Mental Health Interventions, R01). The goal of the project is to refine and evaluate preliminary effectiveness of a novel peer- supported suicide prevention in routine care for clinical high risk for psychosis (CHR). Although individuals with CHR are at particularly high risk for suicide, there does not appear to be a standard approach for suicide prevention for this population. The present study aims to evaluate a new suicide prevention intervention, Recovery Integrated Safety and Engagement (RISE), which adapts an existing evidence-informed peer-led intervention developed by our group to the CHR population. RISE targets personal recovery and suicide prevention strategy recall to decrease suicide ideation and improve care engagement. RISE is a therapist and peer co-facilitated group intervention with four recovery-oriented modules (reasons for living, hope, recovery goals, social connection) that are dovetailed with compensatory cognitive strategies to increase recall of intervention material and a caregiver session focused on means restriction. We propose a 3-year two site hybrid type 1 pilot study that follows the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. First, in Aim 1 we will refine the protocol and intervention through qualitative interviews and community advisory board input. We will then conduct an open trial to evaluate fidelity and needs for further adaptations based on participant feedback. In Aim 2, we will conduct a pilot effectiveness randomized controlled trial (RCT) to collect preliminary effectiveness compared to treatment as usual (TAU), evaluating impact on targets and suicide ideation. In Aim 3, we will administer qualitative interviews with RCT participants and administrators/clinicians focused on implementation determinants resulting in an implementation tool kit for future sustainment. We will evaluate whether RISE leads to significant increases in personal recovery and suicide prevention strategy recall at follow- up and whether participants experience sustained reduction in suicide ideation severity as compared to TAU. This project responds directly to NIMH Strategic Objective 2.2 by determining novel intervention targets (e.g., personal recovery) in risk and protective factors for suicide in CHR and Objective 3.3 by testing a deployment- focused suicide prevention intervention for effectiveness and implementation in two early psychosis programs with input from patients, caregivers, and administrators/clinicians. Pending success of this pilot hybrid trial, RISE could fill important gaps in suicide prevention in routine early psychosis care.

Up to $397K
2029-03-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

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