Evidence map›Paper›PMID 21761505›Full record

Trial reportHuman brain mapping2012

Using spatial multiple regression to identify intrinsic connectivity networks involved in working memory performance.

Evan M Gordon, Melanie Stollstorff, Chandan J Vaidya

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Human brain mapping, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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.

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

42 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
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  9. Article
  10. Review
  11. Article
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  15. Article
  16. Article
  17. Network Neuroscience and Personality.Personality neuroscience · 2018
    Review
  18. Article
  19. Review
  20. Reason's Enemy Is Not Emotion: Engagement of Cognitive Control Networks Explains Biases in Gain/Loss Framing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    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

3 authors.

Evan M GordonInterdisciplinary Program in Neuroscience, Georgetown University Medical Center, Washington, District of Columbia, USA. emg56@georgetown.edu
Melanie Stollstorff
Chandan J Vaidya

Funding

Integrating brain imaging and genetic analysis of ADHDR01MH065395 · NIMH · GEORGETOWN UNIVERSITY · PI VAIDYA, CHANDAN J · 2003 to 2007
$1.6M
Effect of COMT Genotype on Functional Organization During Working Memory and RestF31MH088066 · NIMH · GEORGETOWN UNIVERSITY · PI GORDON, EVAN M. · 2010 to 2012
$77k
CIHRNIMH NIH HHS F31 MH088066NIMH NIH HHS MH088066-01A1NIMH NIH HHS MH65395NIMH NIH HHS R01 MH065395
6 · The paper itself

Abstract

Many researchers have noted that the functional architecture of the human brain is relatively invariant during task performance and the resting state. Indeed, intrinsic connectivity networks (ICNs) revealed by resting-state functional connectivity analyses are spatially similar to regions activated during cognitive tasks. This suggests that patterns of task-related activation in individual subjects may result from the engagement of one or more of these ICNs; however, this has not been tested. We used a novel analysis, spatial multiple regression, to test whether the patterns of activation during an N-back working memory task could be well described by a linear combination of ICNs delineated using Independent Components Analysis at rest. We found that across subjects, the cingulo-opercular Set Maintenance ICN, as well as right and left Frontoparietal Control ICNs, were reliably activated during working memory, while Default Mode and Visual ICNs were reliably deactivated. Further, involvement of Set Maintenance, Frontoparietal Control, and Dorsal Attention ICNs was sensitive to varying working memory load. Finally, the degree of left Frontoparietal Control network activation predicted response speed, while activation in both left Frontoparietal Control and Dorsal Attention networks predicted task accuracy. These results suggest that a close relationship between resting-state networks and task-evoked activation is functionally relevant for behavior, and that spatial multiple regression analysis is a suitable method for revealing that relationship.

Indexed as

AdolescentBrainFemaleHumansMaleMembrane PotentialsMemory, Short-TermNerve NetPhotic StimulationPsychomotor PerformanceReaction TimeYoung Adult

Identifiers

PMID21761505
PMCPMC3374884

What OpenQuestion holds

Textmetadata
LicenceTDM
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.