Evidence map›Paper›PMID 28373122›Full record

ReviewNeuroImage2017

Can brain state be manipulated to emphasize individual differences in functional connectivity?

Emily S Finn, Dustin Scheinost, Daniel M Finn, Xilin Shen, Xenophon Papademetris, R Todd Constable

Open access · hybridAbstract readReview
In one paragraph

Review in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 209 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
209citing papers in PubMed, 1 pooled it
18.8field-weighted citation impact, top 1% 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

209 citing papers in PubMed, 1 synthesis or guideline pooled it, 397 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. 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
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  10. Neural Representations and Functional Connections Underlie Subjective Positive Affect.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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149 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

6 authors at 1 institution in 1 country.

Emily S FinnInterdepartmental Neuroscience Program, Yale University, New Haven, CT, USA. Electronic address: emily.finn@yale.edu.
Dustin ScheinostDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Daniel M FinnDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Xilin ShenDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Xenophon PapademetrisDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
R Todd ConstableInterdepartmental Neuroscience Program, Yale University, New Haven, CT, USA; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA; Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA.
Yale University · US

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Method for Measuring Functional Subunits in Human CortexR01EB009666 · NIBIB · YALE UNIVERSITY · PI CONSTABLE, R TODD · 2010 to 2013
$1.4M
NIBIB NIH HHS R01 EB009666NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

While neuroimaging studies typically collapse data from many subjects, brain functional organization varies between individuals, and characterizing this variability is crucial for relating brain activity to behavioral phenotypes. Rest has become the default state for probing individual differences, chiefly because it is easy to acquire and a supposed neutral backdrop. However, the assumption that rest is the optimal condition for individual differences research is largely untested. In fact, other brain states may afford a better ratio of within- to between-subject variability, facilitating biomarker discovery. Depending on the trait or behavior under study, certain tasks may bring out meaningful idiosyncrasies across subjects, essentially enhancing the individual signal in networks of interest beyond what can be measured at rest. Here, we review theoretical considerations and existing work on how brain state influences individual differences in functional connectivity, present some preliminary analyses of within- and between-subject variability across conditions using data from the Human Connectome Project, and outline questions for future study.

Indexed as

IndividualityBrainBrain MappingConnectomeHumansNerve NetNeural PathwaysRestBrain statefMRIFunctional connectivityHuman Connectome ProjectIndividual differencesResting stateScan conditionTask

Identifiers

PMID28373122
PMCPMC8808247
OpenAlexW2603091313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.