Evidence map›Paper›PMID 38293067›Full record

ArticlebioRxiv : the preprint server for biology2024

Cognitive abilities are associated with rapid dynamics of electrophysiological connectome states.

Suhnyoung Jun, Stephen M Malone, William G Iacono, Jeremy Harper, Sylia Wilson, Sepideh Sadaghiani

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Suhnyoung JunPsychology Department, University of Illinois at Urbana-Champaign.ORCID 0000-0001-7849-0837
Stephen M MaloneDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota.
William G IaconoDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota.
Jeremy HarperDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota.
Sylia WilsonInstitute of Child Development, University of Minnesota, Twin Cities, USA.
Sepideh SadaghianiPsychology Department, University of Illinois at Urbana-Champaign.ORCID 0000-0001-8800-3959

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Mehmet Akcakaya · 2019 to 2026
$11.7M
Twin Family Study of Vulnerability to Substance AbuseR37DA005147 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2009 to 2018
$6.4M
Adult consequences of youth substance use: Twin study enriched for SUD riskR01DA036216 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2013 to 2017
$3.2M
Computer Aided Diagnostic System for Prostate Cancer Detection Using Quantitative Multiparametric MRIR01CA241159 · NCI · UNIVERSITY OF MINNESOTA · PI METZGER, GREGORY JOHN · 2021 to 2025
$3.0M
Cognitive Significance of Functional Connectome StatesR01MH116226 · NIMH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SADAGHIANI, SEPIDEH · 2019 to 2023
$2.3M
High Performance Connectome Upgrade for Human 3T MR ScannerS10OD017974 · OD · UNIVERSITY OF MINNESOTA · PI LIM, KELVIN O. · 2014 to 2014
$600k
NCI NIH HHS R01 CA241159NIBIB NIH HHS P41 EB027061NIDA NIH HHS R01 DA036216NIDA NIH HHS R37 DA005147NIH HHS S10 OD017974NIMH NIH HHS R01 MH116226
6 · The paper itself

Abstract

Time-varying changes in whole-brain connectivity patterns, or connectome state dynamics, hold significant implications for cognition. However, connectome dynamics at fast (> 1Hz) timescales highly relevant to cognition are poorly understood due to the dominance of inherently slow fMRI in connectome studies. Here, we investigated the behavioral significance of rapid electrophysiological connectome dynamics using source-localized EEG connectomes during resting-state (N=926, 473 females). We focused on dynamic connectome features pertinent to individual differences, specifically those with established heritability: Fractional Occupancy (i.e., the overall duration spent in each recurrent connectome state) in beta and gamma bands, and Transition Probability (i.e., the frequency of state switches) in theta, alpha, beta, and gamma bands. Canonical correlation analysis found a significant relationship between the heritable phenotypes of sub-second connectome dynamics and cognition. Specifically, principal components of Transition Probabilities in alpha (followed by theta and gamma bands) and a cognitive factor representing visuospatial processing (followed by verbal and auditory working memory) most notably contributed to the relationship. We conclude that the specific order in which rapid connectome states are sequenced shapes individuals' cognitive abilities and traits. Such sub-second connectome dynamics may inform about behavioral function and dysfunction and serve as endophenotypes for cognitive abilities.

Indexed as

canonical correlation analysiscognitiondynamic functional connectivityelectrophysiologyhidden Markov modelingindividual differences

Identifiers

PMID38293067
PMCPMC10827041

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.