LabCompass

Amanda F. Mejia

Neuroscience · Indiana University

OpenAlex ORCID
Mid career · publishing since 2010
Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsNeural dynamics and brain functionAdvanced Neuroimaging Techniques and ApplicationsEEG and Brain-Computer Interfaces

Publications

82

Citations

1,401

Est. group size

—

Recurring co-author estimate

Active years

17

Publishing since 2010

Research summary
AI-generated

Amanda F. Mejia develops statistical methods for analyzing brain imaging data, particularly functional MRI (fMRI), which measures brain activity through blood flow. Much of her work uses Bayesian statistical approaches to more reliably map brain networks and activity patterns in individual people. She also studies how these methods apply to clinical questions such as detecting Alzheimer's disease and understanding neurodegeneration.

Statistical methods for brain imaging (fMRI)Bayesian modeling of brain networks and connectivityIndependent component analysis for brain networksReproducibility and interpretation in neuroimagingClinical applications (Alzheimer's, ALS, cognitive impairment)

Publication activity grew through a peak around 2021-2022 and has settled to a somewhat lower but steady pace in recent years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

Funding
Public award records

Current awards run through April 2029 — about 3 years of funding on record from today. Awards are often renewed, so this is what is currently public, not a forecast.

  • ActiveNIH R01AG083919through Apr 2029 · $700k awarded

    Individual functional brain mapping for biomarker discovery in Alzheimer's

1 earlier award
  • NIH R01EB027119Jan 2019 – Sep 2024 · $353k awarded

    Bayesian methods for cortical surface neuroimaging data

Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.

In context
Among 575 mid career Neuroscience PIs within our index
Citations: 1,401cohort median 670
h-index: 20cohort median 12
Publications / year (recent): 8.0cohort median 2.6

Typically publishes in teams of ~5 · 16% small-team papers (≤3 authors) · across 20 venues

Publication cadence
Publications per year over the last 10 years — averaging 8.0/year recently
2017: 2 publications172018: 2 publications182019: 8 publications192020: 3 publications202021: 11 publications212022: 15 publications15222023: 10 publications232024: 6 publications242025: 6 publications252026: 3 publications26
Collaborators per year
Distinct co-authors at Indiana University each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.
2017: 0 collaborators at the same institution2018: 0 collaborators at the same institution2019: 0 collaborators at the same institution2020: 0 collaborators at the same institution2021: 0 collaborators at the same institution2022: 0 collaborators at the same institution2023: 0 collaborators at the same institution2024: 1 collaborator at the same institution2025: 0 collaborators at the same institution1719212325
Recent publications
Publishes in
  • arXiv (Cornell University)×15
  • NeuroImage×8
  • Figshare×8
  • bioRxiv (Cold Spring Harbor Laboratory)×6
  • Proceedings of the National Academy of Sciences×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Sep 1, 2026.

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