Evidence map›Paper›PMID 38339910›Full record

ArticleHuman brain mapping2024

FEMA: Fast and efficient mixed-effects algorithm for large sample whole-brain imaging data.

Pravesh Parekh, Chun Chieh Fan, Oleksandr Frei, Clare E Palmer, Diana M Smith, Carolina Makowski, John R Iversen, Diliana Pecheva, Dominic Holland, Robert Loughnan and 7 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  6. A 3D Brain Geometry Toolkit for Multisite Neuroimaging Analysis.bioRxiv : the preprint server for biology · 2026
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  10. Early-childhood temperament deviations mark psychiatric risk into early adulthood.medRxiv : the preprint server for health sciences · 2026
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  14. Review
  15. Longitudinal analysis of the ABCD® study.Developmental cognitive neuroscience · 2025
    Review
  16. Article
  17. Article
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 4 countries.

Pravesh ParekhNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-1930-1167
Chun Chieh FanCenter for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, Oklahoma, USA.ORCID 0000-0001-9437-2128
Oleksandr FreiNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-6427-2625
Clare E PalmerCenter for Human Development, University of California San Diego, La Jolla, California, USA.
Diana M SmithCenter for Human Development, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-7484-0980
Carolina MakowskiDepartment of Radiology, School of Medicine, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-8816-4549
John R IversenCenter for Human Development, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-4172-9848
Diliana PechevaDepartment of Radiology, School of Medicine, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-7100-3191
Dominic HollandDepartment of Radiology, School of Medicine, University of California San Diego, La Jolla, California, USA.
Robert LoughnanPopulation Neuroscience and Genetics Lab, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-4870-4501
Pierre NedelecDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-8535-1541
Wesley K ThompsonCenter for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, Oklahoma, USA.ORCID 0000-0002-1148-1976
Donald J HaglerDepartment of Radiology, School of Medicine, University of California San Diego, La Jolla, California, USA.
Ole A AndreassenNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-4461-3568
Terry L JerniganDepartment of Radiology, School of Medicine, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-2011-9370
Thomas E NicholsBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-4516-5103
Anders M DaleDepartment of Radiology, School of Medicine, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-6126-2966
University of California San Diego · USUniversity of California System · USOslo University Hospital · NOLaureate Institute for Brain Research · USUniversity of California, San Francisco · USUniversity of Oxford · GB

Funding

ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M
15/21 ABCD-USA Consortium: Research Project Site at LIBRU01DA050989 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI ROBIN L AUPPERLE, MARTIN P. PAULUS · 2020 to 2026
$14.7M
NIAAA NIH HHS R01 AA028411NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIMH NIH HHS R01 MH118281NIMH NIH HHS R01MH118281NIMH NIH HHS R01 MH122688NIMH NIH HHS R01MH122688NIMH NIH HHS RF1 MH120025NIMH NIH HHS RF1MH120025
6 · The paper itself

Abstract

The linear mixed-effects model (LME) is a versatile approach to account for dependence among observations. Many large-scale neuroimaging datasets with complex designs have increased the need for LME; however LME has seldom been used in whole-brain imaging analyses due to its heavy computational requirements. In this paper, we introduce a fast and efficient mixed-effects algorithm (FEMA) that makes whole-brain vertex-wise, voxel-wise, and connectome-wide LME analyses in large samples possible. We validate FEMA with extensive simulations, showing that the estimates of the fixed effects are equivalent to standard maximum likelihood estimates but obtained with orders of magnitude improvement in computational speed. We demonstrate the applicability of FEMA by studying the cross-sectional and longitudinal effects of age on region-of-interest level and vertex-wise cortical thickness, as well as connectome-wide functional connectivity values derived from resting state functional MRI, using longitudinal imaging data from the Adolescent Brain Cognitive Development

Indexed as

ConnectomeMagnetic Resonance ImagingAdolescentAlgorithmsBrainCross-Sectional StudiesHumansNeuroimagingABCDlongitudinal analysismixed modelsvertex-wisevoxel-wisewhole brain

Identifiers

PMID38339910
PMCPMC10823765
OpenAlexW4391315955

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.