Skip to main content

The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis

NIMH - National Institute of Mental Health

open
OpenLast verified: 2026-06-20

About This Grant

Summary There is an urgent need for objective and robust diagnostic indices related to psychiatric illnesses, including obsessive-compulsive and anxiety disorders. Brain-based indices are particularly suited for this purpose, but many of the available brain-based markers have limited scope, require specialized equipment, or have unknown reliability and validity. The proposed research aims to examine the value of data-based, quantitative, and objective markers of dysfunctional electrocortical processes associated with obsessive-compulsive and anxiety psychopathology. The proposed research aims to establish advanced computational indices based on resting electroencephalogram (EEG) recordings that are capable of (1) discriminating between diagnostic categories but also (2) predict transdiagnostic variables such as severity and comorbidity. Specifically, we use state-of-the- art data transformations to extract mechanistically informative indices of spectral shape and alpha-frequency phenomena inherent in EEG recordings during resting states. We will then establish their reliability and internal consistency—prerequisites for using them as markers of inter-individual differences. The indices will then be related to clinical data collected in a large sample of individuals presenting with symptoms on the obsessive- compulsive and anxiety spectrum. A Bayesian Hierarchical Model will be used to aid in data reduction and to measure and heighten reliability of the EEG-derived variables. Finding reliable and valid biomarkers of electrocortical processes has the potential of transforming diagnostic assessment by providing continuous indices of cortical dysfunction. If the goals of this application are met, then reliable and valid indices of electrocortical (dys)function may help to significantly shift clinical practice: In assessment, objective measures of EEG alpha reactivity could be used, for example, to objectively identify patients with perception/attention dysfunction, versus those with generally delayed oscillatory activity and thus more general cortical dysfunction. These inter-individual differences may in the future guide how patients are assigned to individualized treatment protocols as well as for predicting treatment outcome.

Grant Summary

The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis is a NIMH - National Institute of Mental Health grant providing up to $152K for university, nonprofit, healthcare org. Applications are due 2028-05-14 (open). Check eligibility and apply with FindGrants.

Focus Areas

health research

Eligibility

universitynonprofithealthcare org

How to Apply

Funding Range

Up to $152K

Deadline

2028-05-14

Complexity
Medium
  1. 1Confirm your organization is eligible for The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis from NIMH - National Institute of Mental Health, checking organization type, location, and any population or project requirements.
  2. 2Gather the required documents and information, including your organization details, project plan, and budget figures.
  3. 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
  4. 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIMH - National Institute of Mental Health before the deadline.
This record is a past award, contract, or funder profile — useful for research, but not an open grant application. Check the original source for current opportunities from this funder.

Don't want to draft it yourself?

We'll draft the complete application against NIMH - National Institute of Mental Health's requirements, run a quality review, and email you a submission-ready PDF plus an editable Word doc within 5 business days. Most orders deliver in 24-48 hours. Flat $399, any grant size.

AI Requirement Analysis

Detailed requirements not yet analyzed

Have the NOFO? Paste it below for AI-powered requirement analysis.

0 characters (min 50)

The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis: Frequently Asked Questions

Who is eligible for the The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis?

The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis is offered by NIMH - National Institute of Mental Health and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.

How much funding does the The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis provide?

The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis provides up to $152K per award from NIMH - National Institute of Mental Health. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.

When is the The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis deadline?

Applications for The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis are due 2028-05-14 (open). Because deadlines can change, verify the date with the funder, NIMH - National Institute of Mental Health, and give yourself enough time to prepare a complete, competitive application before the close date.

How do you apply for the The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis?

To apply for The EEG spectrum as a marker of severity, burden, and psychiatric diagnosis, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIMH - National Institute of Mental Health.

Browse More Grants