Literature DB >> 25563228

Errors on interrupter tasks presented during spatial and verbal working memory performance are linearly linked to large-scale functional network connectivity in high temporal resolution resting state fMRI.

Matthew Evan Magnuson1, Garth John Thompson1, Hillary Schwarb2, Wen-Ju Pan1, Andy McKinley3, Eric H Schumacher2, Shella Dawn Keilholz4.   

Abstract

The brain is organized into networks composed of spatially separated anatomical regions exhibiting coherent functional activity over time. Two of these networks (the default mode network, DMN, and the task positive network, TPN) have been implicated in the performance of a number of cognitive tasks. To directly examine the stable relationship between network connectivity and behavioral performance, high temporal resolution functional magnetic resonance imaging (fMRI) data were collected during the resting state, and behavioral data were collected from 15 subjects on different days, exploring verbal working memory, spatial working memory, and fluid intelligence. Sustained attention performance was also evaluated in a task interleaved between resting state scans. Functional connectivity within and between the DMN and TPN was related to performance on these tasks. Decreased TPN resting state connectivity was found to significantly correlate with fewer errors on an interrupter task presented during a spatial working memory paradigm and decreased DMN/TPN anti-correlation was significantly correlated with fewer errors on an interrupter task presented during a verbal working memory paradigm. A trend for increased DMN resting state connectivity to correlate to measures of fluid intelligence was also observed. These results provide additional evidence of the relationship between resting state networks and behavioral performance, and show that such results can be observed with high temporal resolution fMRI. Because cognitive scores and functional connectivity were collected on nonconsecutive days, these results highlight the stability of functional connectivity/cognitive performance coupling.

Keywords:  Cognitive processing; Default mode network; High temporal resolution fMRI; Interrupter task; Resting state; Task positive network; Working memory

Mesh:

Year:  2015        PMID: 25563228     DOI: 10.1007/s11682-014-9347-3

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  11 in total

1.  Different dynamic resting state fMRI patterns are linked to different frequencies of neural activity.

Authors:  Garth John Thompson; Wen-Ju Pan; Shella Dawn Keilholz
Journal:  J Neurophysiol       Date:  2015-06-03       Impact factor: 2.714

Review 2.  Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.

Authors:  Shella D Keilholz; Wen-Ju Pan; Jacob Billings; Maysam Nezafati; Sadia Shakil
Journal:  Neuroimage       Date:  2016-12-22       Impact factor: 6.556

3.  Functional independence in resting-state connectivity facilitates higher-order cognition.

Authors:  G Andrew James; Tonisha E Kearney-Ramos; Jonathan A Young; Clinton D Kilts; Jennifer L Gess; Jennifer S Fausett
Journal:  Brain Cogn       Date:  2016-04-20       Impact factor: 2.310

4.  Effects of Tissue-Specific Functional Magnetic Resonance Imaging Signal Regression on Resting-State Functional Connectivity.

Authors:  Reinder Vos de Wael; Fahmeed Hyder; Garth J Thompson
Journal:  Brain Connect       Date:  2017-10

5.  Core networks and their reconfiguration patterns across cognitive loads.

Authors:  Nianming Zuo; Zhengyi Yang; Yong Liu; Jin Li; Tianzi Jiang
Journal:  Hum Brain Mapp       Date:  2018-04-20       Impact factor: 5.038

6.  Resting amygdala connectivity and basal sympathetic tone as markers of chronic hypervigilance.

Authors:  Olena Kleshchova; Jenna K Rieder; Jack Grinband; Mariann R Weierich
Journal:  Psychoneuroendocrinology       Date:  2018-11-26       Impact factor: 4.905

Review 7.  Neural and metabolic basis of dynamic resting state fMRI.

Authors:  Garth J Thompson
Journal:  Neuroimage       Date:  2017-09-09       Impact factor: 6.556

8.  Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals.

Authors:  Emily W Avery; Kwangsun Yoo; Monica D Rosenberg; Abigail S Greene; Siyuan Gao; Duk L Na; Dustin Scheinost; Todd R Constable; Marvin M Chun
Journal:  J Cogn Neurosci       Date:  2019-10-29       Impact factor: 3.225

9.  Identifying Respiration-Related Aliasing Artifacts in the Rodent Resting-State fMRI.

Authors:  Patricia Pais-Roldán; Bharat Biswal; Klaus Scheffler; Xin Yu
Journal:  Front Neurosci       Date:  2018-11-02       Impact factor: 4.677

10.  Relationship Between Basic Properties of BOLD Fluctuations and Calculated Metrics of Complexity in the Human Connectome Project.

Authors:  Shella Keilholz; Eric Maltbie; Xiaodi Zhang; Behnaz Yousefi; Wen-Ju Pan; Nan Xu; Maysam Nezafati; Theodore J LaGrow; Ying Guo
Journal:  Front Neurosci       Date:  2020-09-15       Impact factor: 4.677

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