Literature DB >> 31172018

Linking brain activation to topological organization in the frontal lobe as a synergistic indicator to characterize the difference between various cognitive processes of executive functions.

Zhishan Hu1, Juan Zhang2, Lingyan Zhang3, Yu-Tao Xiang1, Zhen Yuan1.   

Abstract

Executive functions (EFs) associated with the frontal lobe are vital for goal-orientated behavior. To date, limited efforts have been made to examine the relationships among the behavior, brain activation, and topological organization of functional networks in the frontal lobe underlying various EF tasks, including inhibition, working memory, and cognitive flexibility. In this study, functional near-infrared spectroscopy neuroimaging technique was used to systematically inspect the differences in the brain activation and the topological organization of brain networks between various EF tasks in the frontal lobe. In addition, the relationships between brain activation/network properties and task performances and the relationships between brain activation and network properties were, respectively, examined for different EF tasks. Consequently, we have discovered that the nodal and global properties of the resting-state and task-evoked networks, respectively, exhibited significant correlations with the activation of various brain regions during various EF tasks. In particular, the measure that links the neural activation to the topological organization of the brain networks in the frontal lobe can serve as a synergistic indicator to examine the difference between various EF tasks, which paves a way toward a comprehensive understanding of the neural mechanism underlying EFs.

Keywords:  activation; behavior; executive functions; frontal cortex; functional near-infrared spectroscopy; network

Year:  2019        PMID: 31172018      PMCID: PMC6537479          DOI: 10.1117/1.NPh.6.2.025008

Source DB:  PubMed          Journal:  Neurophotonics        ISSN: 2329-423X            Impact factor:   3.593


  68 in total

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2.  Task switching.

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3.  How to detect and reduce movement artifacts in near-infrared imaging using moving standard deviation and spline interpolation.

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4.  Disentangling self- and fairness-related neural mechanisms involved in the ultimatum game: an fMRI study.

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5.  Combining independent component analysis and Granger causality to investigate brain network dynamics with fNIRS measurements.

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Journal:  Biomed Opt Express       Date:  2013-10-25       Impact factor: 3.732

6.  Testing a dual-systems model of adolescent brain development using resting-state connectivity analyses.

Authors:  A C K van Duijvenvoorde; M Achterberg; B R Braams; S Peters; E A Crone
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7.  Optical mapping of prefrontal brain connectivity and activation during emotion anticipation.

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Journal:  Behav Brain Res       Date:  2018-05-09       Impact factor: 3.332

Review 8.  Aberrant spontaneous low-frequency brain activity in amnestic mild cognitive impairment: A meta-analysis of resting-state fMRI studies.

Authors:  PingLei Pan; Lin Zhu; TingTing Yu; HaiCun Shi; Bing Zhang; Ruomeng Qin; Xiaolei Zhu; Lai Qian; Hui Zhao; Hong Zhou; Yun Xu
Journal:  Ageing Res Rev       Date:  2016-12-23       Impact factor: 10.895

9.  Fusion of fNIRS and fMRI data: identifying when and where hemodynamic signals are changing in human brains.

Authors:  Zhen Yuan; Jongchul Ye
Journal:  Front Hum Neurosci       Date:  2013-10-16       Impact factor: 3.169

10.  FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data.

Authors:  Jingping Xu; Xiangyu Liu; Jinrui Zhang; Zhen Li; Xindi Wang; Fang Fang; Haijing Niu
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

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  1 in total

1.  Disrupted functional brain connectivity networks in children with attention-deficit/hyperactivity disorder: evidence from resting-state functional near-infrared spectroscopy.

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Journal:  Neurophotonics       Date:  2020-03-11       Impact factor: 3.593

  1 in total

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