Literature DB >> 28922830

Connectivity Neurofeedback Training Can Differentially Change Functional Connectivity and Cognitive Performance.

Ayumu Yamashita1,2,3, Shunsuke Hayasaka1,4, Mitsuo Kawato1, Hiroshi Imamizu1,5.   

Abstract

Advances in functional magnetic resonance imaging have made it possible to provide real-time feedback on brain activity. Neurofeedback has been applied to therapeutic interventions for psychiatric disorders. Since many studies have shown that most psychiatric disorders exhibit abnormal brain networks, a novel experimental paradigm named connectivity neurofeedback, which can directly modulate a brain network, has emerged as a promising approach to treat psychiatric disorders. Here, we investigated the hypothesis that connectivity neurofeedback can induce the aimed direction of change in functional connectivity, and the differential change in cognitive performance according to the direction of change in connectivity. We selected the connectivity between the left primary motor cortex and the left lateral parietal cortex as the target. Subjects were divided into 2 groups, in which only the direction of change (an increase or a decrease in correlation) in the experimentally manipulated connectivity differed between the groups. As a result, subjects successfully induced the expected connectivity changes in either of the 2 directions. Furthermore, cognitive performance significantly and differentially changed from preneurofeedback to postneurofeedback training between the 2 groups. These findings indicate that connectivity neurofeedback can induce the aimed direction of change in connectivity and also a differential change in cognitive performance.
© The Author 2017. Published by Oxford University Press.

Entities:  

Keywords:  cognitive function; connectivity neurofeedback; functional connectivity; functional magnetic resonance imaging (fMRI)

Mesh:

Year:  2017        PMID: 28922830     DOI: 10.1093/cercor/bhx177

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  20 in total

Review 1.  Advances in fMRI Real-Time Neurofeedback.

Authors:  Takeo Watanabe; Yuka Sasaki; Kazuhisa Shibata; Mitsuo Kawato
Journal:  Trends Cogn Sci       Date:  2017-10-12       Impact factor: 20.229

2.  Training the brain to time: the effect of neurofeedback of SMR-Beta1 rhythm on time perception in healthy adults.

Authors:  Behnoush Behzadifard; Saied Sabaghypour; Farhad Farkhondeh Tale Navi; Mohammad Ali Nazari
Journal:  Exp Brain Res       Date:  2022-05-16       Impact factor: 2.064

3.  The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback-A Systematic Review and Recommendations for Best Practice.

Authors:  Simon H Kohl; David M A Mehler; Michael Lührs; Robert T Thibault; Kerstin Konrad; Bettina Sorger
Journal:  Front Neurosci       Date:  2020-07-21       Impact factor: 5.152

Review 4.  Closed-loop neuromodulation for studying spontaneous activity and causality.

Authors:  Michal Ramot; Alex Martin
Journal:  Trends Cogn Sci       Date:  2022-02-21       Impact factor: 24.482

5.  Connectome-based neurofeedback: A pilot study to improve sustained attention.

Authors:  Dustin Scheinost; Tiffany W Hsu; Emily W Avery; Michelle Hampson; R Todd Constable; Marvin M Chun; Monica D Rosenberg
Journal:  Neuroimage       Date:  2020-02-27       Impact factor: 6.556

6.  Dynamic Functional Network Connectivity Changes Associated with fMRI Neurofeedback of Right Premotor Cortex.

Authors:  Zhiying Long; Zhaoxi Guo; Zhitao Guo; Hang Zhang; Li Yao
Journal:  Brain Sci       Date:  2021-04-30

7.  Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts.

Authors:  Ayumu Yamashita; Yuki Sakai; Takashi Yamada; Noriaki Yahata; Akira Kunimatsu; Naohiro Okada; Takashi Itahashi; Ryuichiro Hashimoto; Hiroto Mizuta; Naho Ichikawa; Masahiro Takamura; Go Okada; Hirotaka Yamagata; Kenichiro Harada; Koji Matsuo; Saori C Tanaka; Mitsuo Kawato; Kiyoto Kasai; Nobumasa Kato; Hidehiko Takahashi; Yasumasa Okamoto; Okito Yamashita; Hiroshi Imamizu
Journal:  Front Psychiatry       Date:  2021-06-10       Impact factor: 4.157

Review 8.  Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers.

Authors:  Takashi Yamada; Ryu-Ichiro Hashimoto; Noriaki Yahata; Naho Ichikawa; Yujiro Yoshihara; Yasumasa Okamoto; Nobumasa Kato; Hidehiko Takahashi; Mitsuo Kawato
Journal:  Int J Neuropsychopharmacol       Date:  2017-10-01       Impact factor: 5.176

9.  Reinforcement and Punishment Shape the Learning Dynamics in fMRI Neurofeedback.

Authors:  Manfred Klöbl; Paul Michenthaler; Godber Mathis Godbersen; Simon Robinson; Andreas Hahn; Rupert Lanzenberger
Journal:  Front Hum Neurosci       Date:  2020-07-24       Impact factor: 3.169

10.  Activity or connectivity? A randomized controlled feasibility study evaluating neurofeedback training in Huntington's disease.

Authors:  Marina Papoutsi; Joerg Magerkurth; Oliver Josephs; Sophia E Pépés; Temi Ibitoye; Ralf Reilmann; Nigel Hunt; Edwin Payne; Nikolaus Weiskopf; Douglas Langbehn; Geraint Rees; Sarah J Tabrizi
Journal:  Brain Commun       Date:  2020-04-23
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