Evidence map›Paper›PMID 39462101›Full record

ArticleCommunications biology2024

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.

Ruslan Masharipov, Irina Knyazeva, Alexander Korotkov, Denis Cherednichenko, Maxim Kireev

Abstract readComparative Study
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ruslan MasharipovN.P. Bechtereva Institute of the Human Brain, Russian Academy of Sciences, St. Petersburg, Russia. masharipov@ihb.spb.ru.ORCID 0000-0003-4162-3725
Irina KnyazevaN.P. Bechtereva Institute of the Human Brain, Russian Academy of Sciences, St. Petersburg, Russia.
Alexander KorotkovN.P. Bechtereva Institute of the Human Brain, Russian Academy of Sciences, St. Petersburg, Russia.
Denis CherednichenkoN.P. Bechtereva Institute of the Human Brain, Russian Academy of Sciences, St. Petersburg, Russia.
Maxim KireevN.P. Bechtereva Institute of the Human Brain, Russian Academy of Sciences, St. Petersburg, Russia.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Human Translational Applications Core (HTA - Core) (7 of 8)PL1MH083271 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2007 to 2011
$5.8M
Translational Methods/Facilities Core (TMF - Core) (8 of 8)PL1NS062410 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EVANS, CHRISTOPHER J. · 2007 to 2011
$4.6M
Translational Models of Memory and Cognitive Control (Component 5 of 8)RL1MH083270 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JENTSCH, J. DAVID · 2007 to 2011
$2.6M
Whole Genome Assoc. Analysis Strategies for Multi. PhenotypesRL1MH083268 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B. · 2007 to 2011
$2.1M
Consortium for Neuropsychiatric Phenomics-Coordinating Center (1 of 8)UL1DE019580 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2008 to 2011
$1.9M
Memory Mechanisms and Mental DisordersRL1MH083269 · NIMH · YALE UNIVERSITY · PI CANNON, TYRONE D · 2007 to 2011
$1.8M
Response Inhibition and Dopamine Neurotransmission (RI) (4 of 8)RL1DA024853 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LONDON, EDYTHE DANICK · 2007 to 2011
$1.7M
Hypothesis Web Development for Neuropsychiatric Phenomics (6 of 8)RL1LM009833 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PARKER, DOUGLASS STOTT · 2007 to 2011
$1.5M
NIDA NIH HHS RL1 DA024853NIDCR NIH HHS UL1 DE019580NIMH NIH HHS PL1 MH083271NIMH NIH HHS RL1 MH083268NIMH NIH HHS RL1 MH083269NIMH NIH HHS RL1 MH083270NIMH NIH HHS U54 MH091657NINDS NIH HHS PL1 NS062410NLM NIH HHS RL1 LM009833
6 · The paper itself

Abstract

Higher brain functions require flexible integration of information across widely distributed brain regions depending on the task context. Resting-state functional magnetic resonance imaging (fMRI) has provided substantial insight into large-scale intrinsic brain network organisation, yet the principles of rapid context-dependent reconfiguration of that intrinsic network organisation are much less understood. A major challenge for task connectome mapping is the absence of a gold standard for deriving whole-brain task-modulated functional connectivity matrices. Here, we perform biophysically realistic simulations to control the ground-truth task-modulated functional connectivity over a wide range of experimental settings. We reveal the best-performing methods for different types of task designs and their fundamental limitations. Importantly, we demonstrate that rapid (100 ms) modulations of oscillatory neuronal synchronisation can be recovered from sluggish haemodynamic fluctuations even at typically low fMRI temporal resolution (2 s). Finally, we provide practical recommendations on task design and statistical analysis to foster task connectome mapping.

Indexed as

BrainConnectomeMagnetic Resonance ImagingBrain MappingHumansNerve Net

Identifiers

PMID39462101
PMCPMC11513045

What Socratic 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 Socratic graph.