Evidence map›Paper›PMID 31916942›Full record

ReviewBiological psychiatry2020

Defining Individual-Specific Functional Neuroanatomy for Precision Psychiatry.

Caterina Gratton, Brian T Kraus, Deanna J Greene, Evan M Gordon, Timothy O Laumann, Steven M Nelson, Nico U F Dosenbach, Steven E Petersen

Registry-linked trialAbstract readReview
In one paragraph

Review in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07024875 (Precision Neuroimaging of Parkinson's Disease), which is not on this map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed
–field-weighted citation impact
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.

NCT07024875 recruitingnot on this mapstarted 2025, after this paper: background citation

Precision Neuroimaging of Parkinson's Disease

Typeobservational_patient_registrySponsorWashington University School of MedicineRan2025 to 2031Enrolled120ConditionsParkinsons Disease (PD)
3 · Its place in the literature

Who cites it

134 citing papers in PubMed.

  1. Trial
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  6. Individualized Network Topography in Pre-adolescent Children and Adults Using Naturalistic Precision fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  7. Article
  8. Observational
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  10. Article
  11. Article
  12. Review
  13. Review
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  15. Review
  16. Article
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  19. Individualized Mapping of Functional Brain Networks in Older Adulthood.bioRxiv : the preprint server for biology · 2026
    Article
  20. Review

74 more citing papers are in PubMed but not listed here.

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

8 authors.

Caterina GrattonDepartment of Psychology, Northwestern University, Evanston, Illinois; Department of Neurology, Northwestern University, Evanston, Illinois. Electronic address: cgratton@northwestern.edu.
Brian T KrausDepartment of Psychology, Northwestern University, Evanston, Illinois.
Deanna J GreeneDepartment of Psychiatry, Washington University in St. Louis, St. Louis, Missouri; Department of Radiology, Washington University in St. Louis, St. Louis, Missouri.
Evan M GordonVISN Center of Excellence for Research on Returning War Veterans, Waco, Texas; Department of Psychology and Neuroscience, Baylor University, Waco, Texas; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, Texas.
Timothy O LaumannDepartment of Psychiatry, Washington University in St. Louis, St. Louis, Missouri.
Steven M NelsonVISN Center of Excellence for Research on Returning War Veterans, Waco, Texas; Department of Psychology and Neuroscience, Baylor University, Waco, Texas; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, Texas; Department of Psychiatry and Behavioral Science, Texas A&M Health Science Center, College of Medicine, Bryan, Texas.
Nico U F DosenbachDepartment of Radiology, Washington University in St. Louis, St. Louis, Missouri; Department of Neurology, Washington University in St. Louis, St. Louis, Missouri; Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.
Steven E PetersenDepartment of Psychiatry, Washington University in St. Louis, St. Louis, Missouri; Department of Radiology, Washington University in St. Louis, St. Louis, Missouri; Department of Neurology, Washington University in St. Louis, St. Louis, Missouri; Department of Neuroscience, Washington University in St. Louis, St. Louis, Missouri; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri.

Funding

TRAINING PROGRAM IN THE NEUROSCIENCE OF HUMAN COGNITIONT32NS047987 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Rodrigo M Braga, Christina Maria Zelano · 2006 to 2026
$5.6M
Sources and Functional Consequences of Individual Differences in Human Functional Brain Networks Related to Controlled BehaviorR01MH118370 · NIMH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GRATTON, CATERINA · 2019 to 2023
$3.4M
Washington University Psychiatry Residency Research Education ProgramR25MH112473 · NIMH · WASHINGTON UNIVERSITY · PI NURI B FARBER, Timothy Eric Spiegel · 2018 to 2026
$1.6M
PEDIATRIC BRAIN INJURY RECOVERY VIA USE-DRIVEN FUNCTIONAL NETWORK REORGANIZATIONK23NS088590 · NINDS · WASHINGTON UNIVERSITY · PI DOSENBACH, NICO · 2015 to 2019
$886k
PREDICTING OUTCOME IN CHILDREN WITH TIC DISORDERS USING NEUROIMAGING DATAK01MH104592 · NIMH · WASHINGTON UNIVERSITY · PI GREENE, DEANNA JACQUELYN · 2014 to 2018
$723k
Neuroimaging-based identification of Traumatic Brain Injury subtypesIK2CX001680 · VA · OLIN TEAGUE VETERANS CENTER · PI GORDON, EVAN M. · 2019 to 2021
–
CSRD VA IK2 CX001680NIMH NIH HHS K01 MH104592NIMH NIH HHS R01 MH118370NIMH NIH HHS R25 MH112473NINDS NIH HHS K23 NS088590NINDS NIH HHS T32 NS047987
6 · The paper itself

Abstract

Studies comparing diverse groups have shown that many psychiatric diseases involve disruptions across distributed large-scale networks of the brain. There is hope that functional magnetic resonance imaging (fMRI) functional connectivity techniques will shed light on these disruptions, providing prognostic and diagnostic biomarkers as well as targets for therapeutic interventions. However, to date, progress on clinical translation of fMRI methods has been limited. Here, we argue that this limited translation is driven by a combination of intersubject heterogeneity and the relatively low reliability of standard fMRI techniques at the individual level. We review a potential solution to these limitations: the use of new "precision" fMRI approaches that shift the focus of analysis from groups to single individuals through the use of extended data acquisition strategies. We begin by discussing the potential advantages of fMRI functional connectivity methods for improving our understanding of functional neuroanatomy and disruptions in psychiatric disorders. We then discuss the budding field of precision fMRI and findings garnered from this work. We demonstrate that precision fMRI can improve the reliability of functional connectivity measures, while showing high stability and sensitivity to individual differences. We close by discussing the application of these approaches to clinical settings.

Indexed as

NeuroanatomyPsychiatryBrainBrain MappingHumansMagnetic Resonance ImagingReproducibility of ResultsBrain networksfMRIFunctional connectivityIndividual differencesPrecision imagingReliability

Identifiers

PMID31916942
PMCPMC7203002

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

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.