Literature DB >> 30957523

Predicting Task and Subject Differences with Functional Connectivity and Blood-Oxygen-Level-Dependent Variability.

Garren Gaut1, Brandon Turner2, Zhong-Lin Lu2,3, Xiangrui Li2,3, William A Cunningham4, Mark Steyvers1.   

Abstract

Previous research has found that functional connectivity (FC) can accurately predict the identity of a subject performing a task and the type of task being performed. These results are replicated using a large data set collected at the Ohio State University Center for Cognitive and Behavioral Brain Imaging. This work introduces a novel perspective on task and subject identity prediction: blood-oxygen-level-dependent variability (BV). Conceptually, BV is a region-specific measure based on the variance within each brain region. BV is simple to compute, interpret, and visualize. This work shows that both FC and BV are predictive of task and subject, even across scanning sessions separated by multiple years. Subject differences rather than task differences account for the majority of changes in BV and FC. Similar to results in FC, BV is reduced during cognitive tasks relative to rest.

Entities:  

Keywords:  BOLD variability; fMRI; functional connectivity; machine learning; subject identity classification; task classification

Year:  2019        PMID: 30957523     DOI: 10.1089/brain.2018.0632

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  5 in total

1.  Experimental design modulates variance in BOLD activation: The variance design general linear model.

Authors:  Garren Gaut; Xiangrui Li; Zhong-Lin Lu; Mark Steyvers
Journal:  Hum Brain Mapp       Date:  2019-05-30       Impact factor: 5.038

2.  Functional connectivity signatures of political ideology.

Authors:  Seo Eun Yang; James D Wilson; Zhong-Lin Lu; Skyler Cranmer
Journal:  PNAS Nexus       Date:  2022-05-23

3.  Resting-state neural signal variability in women with depressive disorders.

Authors:  Sally Pessin; Erin C Walsh; Roxanne M Hoks; Rasmus M Birn; Heather C Abercrombie; Carissa L Philippi
Journal:  Behav Brain Res       Date:  2022-07-08       Impact factor: 3.352

4.  Identifiable Patterns of Trait, State, and Experience in Chronic Stroke Recovery.

Authors:  E Susan Duncan; A Duke Shereen; Thanos Gentimis; Steven L Small
Journal:  Neurorehabil Neural Repair       Date:  2020-12-22       Impact factor: 3.919

5.  Shared Characteristics of Intrinsic Connectivity Networks Underlying Interoceptive Awareness and Empathy.

Authors:  Teodora Stoica; Brendan Depue
Journal:  Front Hum Neurosci       Date:  2020-12-07       Impact factor: 3.169

  5 in total

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