Literature DB >> 22432903

Cross-frequency power correlations reveal the right superior temporal gyrus as a hub region during working memory maintenance.

Hyojin Park1, Eunjoo Kang, Hyejin Kang, June Sic Kim, Ole Jensen, Chun Kee Chung, Dong Soo Lee.   

Abstract

In the present study, we characterized within- and cross-frequency power correlations from magnetoencephalography (MEG) data in order to understand how different brain regions cooperate as a network to maintain working memory representations with several features. The working memory items were composed of spatially arranged dots supposedly requiring both the dorsal and the ventral stream to be engaged during maintenance. Using a beamforming technique, we localized memory-dependent sources in the alpha, beta, and gamma bands. After the single-trial power values were extracted from these frequency bands with respect to each source, we calculated the correlations within- and cross-frequency bands. The following general picture emerged: gamma power in right superior temporal gyrus (STG) during working memory maintenance was correlated with numerous other sources in the alpha band in prefrontal, parietal, and posterior regions. In addition, the power correlations within the alpha band showed correlations across posterior-parietal-frontal regions. From these findings, we suggest that the STG dominated by gamma activity serves as a hub region for the network nodes responsible for the retention of the stimulus used in this study, which is likely to depend on both the "where-" and the "what-" visual system simultaneously. The present study demonstrates how oscillatory dynamics reflecting the interaction between cortical areas can be investigated by means of cross-frequency power correlations in source space. This methodological framework could be of general utility when studying functional network properties of the working brain.

Mesh:

Year:  2012        PMID: 22432903     DOI: 10.1089/brain.2011.0046

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


  11 in total

1.  Blocking of irrelevant memories by posterior alpha activity boosts memory encoding.

Authors:  Hyojin Park; Dong Soo Lee; Eunjoo Kang; Hyejin Kang; Jarang Hahm; June Sic Kim; Chun Kee Chung; Ole Jensen
Journal:  Hum Brain Mapp       Date:  2014-02-12       Impact factor: 5.038

2.  Load effects on spatial working memory performance are linked to distributed alpha and beta oscillations.

Authors:  Amy L Proskovec; Alex I Wiesman; Elizabeth Heinrichs-Graham; Tony W Wilson
Journal:  Hum Brain Mapp       Date:  2019-05-11       Impact factor: 5.038

3.  Changes in cerebellar activity and inter-hemispheric coherence accompany improved reading performance following Quadrato Motor Training.

Authors:  Tal Dotan Ben-Soussan; Keren Avirame; Joseph Glicksohn; Abraham Goldstein; Yuval Harpaz; Michal Ben-Shachar
Journal:  Front Syst Neurosci       Date:  2014-05-09

4.  Formation of visual memories controlled by gamma power phase-locked to alpha oscillations.

Authors:  Hyojin Park; Dong Soo Lee; Eunjoo Kang; Hyejin Kang; Jarang Hahm; June Sic Kim; Chun Kee Chung; Haiteng Jiang; Joachim Gross; Ole Jensen
Journal:  Sci Rep       Date:  2016-06-16       Impact factor: 4.379

5.  A neural mass model of cross frequency coupling.

Authors:  Mojtaba Chehelcheraghi; Cees van Leeuwen; Erik Steur; Chie Nakatani
Journal:  PLoS One       Date:  2017-04-05       Impact factor: 3.240

6.  Beta Oscillatory Dynamics in the Prefrontal and Superior Temporal Cortices Predict Spatial Working Memory Performance.

Authors:  Amy L Proskovec; Alex I Wiesman; Elizabeth Heinrichs-Graham; Tony W Wilson
Journal:  Sci Rep       Date:  2018-05-31       Impact factor: 4.379

7.  Abnormal spontaneous neural activity in hippocampal-cortical system of patients with obsessive-compulsive disorder and its potential for diagnosis and prediction of early treatment response.

Authors:  Haohao Yan; Xiaoxiao Shan; Huabing Li; Feng Liu; Wenbin Guo
Journal:  Front Cell Neurosci       Date:  2022-07-15       Impact factor: 6.147

Review 8.  From Cerebellar Activation and Connectivity to Cognition: A Review of the Quadrato Motor Training.

Authors:  Tal Dotan Ben-Soussan; Joseph Glicksohn; Aviva Berkovich-Ohana
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

9.  Brain responses to human-voice processing predict child development and intelligence.

Authors:  Kyung-Min An; Chiaki Hasegawa; Tetsu Hirosawa; Sanae Tanaka; Daisuke N Saito; Hirokazu Kumazaki; Ken Yaoi; Mitsuru Kikuchi; Yuko Yoshimura
Journal:  Hum Brain Mapp       Date:  2020-02-23       Impact factor: 5.038

10.  Functional connectome fingerprint of sleep quality in insomnia patients: Individualized out-of-sample prediction using machine learning.

Authors:  Xiaofen Ma; Dongyan Wu; Yuanqi Mai; Guang Xu; Junzhang Tian; Guihua Jiang
Journal:  Neuroimage Clin       Date:  2020-09-18       Impact factor: 4.881

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