Literature DB >> 16951568

Increasing cortical activity in auditory areas through neurofeedback functional magnetic resonance imaging.

Seung-Schik Yoo1, Heather M O'Leary, Ty Fairneny, Nan-Kuei Chen, Lawrence P Panych, HyunWook Park, Ferenc A Jolesz.   

Abstract

We report a functional magnetic resonance imaging method to deliver task-specific brain activities as biofeedback signals to guide individuals to increase cortical activity in auditory areas during sound stimulation. A total of 11 study participants underwent multiple functional magnetic resonance imaging scan sessions, while the changes in the activated cortical volume within the primary and secondary auditory areas were fed back to them between scan sessions. On the basis of the feedback information, participants attempted to increase the number of significant voxels during the subsequent trial sessions by adjusting their level of attention to the auditory stimuli. Results showed that the group of individuals who received the feedback were able to increase the activation volume and blood oxygenation level-dependent signal to a greater degree than the control group.

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Year:  2006        PMID: 16951568     DOI: 10.1097/01.wnr.0000227996.53540.22

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  25 in total

1.  Intermittent "real-time" fMRI feedback is superior to continuous presentation for a motor imagery task: a pilot study.

Authors:  Kevin A Johnson; Karen Hartwell; Todd LeMatty; Jeffrey Borckardt; Paul S Morgan; Koushik Govindarajan; Kathleen Brady; Mark S George
Journal:  J Neuroimaging       Date:  2010-10-26       Impact factor: 2.486

2.  Neurofeedback fMRI-mediated learning and consolidation of regional brain activation during motor imagery.

Authors:  Seung-Schik Yoo; Jong-Hwan Lee; Heather O'Leary; Lawrence P Panych; Ferenc A Jolesz
Journal:  Int J Imaging Syst Technol       Date:  2008-06-13       Impact factor: 2.000

3.  Biofeedback of real-time functional magnetic resonance imaging data from the supplementary motor area reduces functional connectivity to subcortical regions.

Authors:  Michelle Hampson; Dustin Scheinost; Maolin Qiu; Jitendra Bhawnani; Cheryl M Lacadie; James F Leckman; R Todd Constable; Xenophon Papademetris
Journal:  Brain Connect       Date:  2011

4.  Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies.

Authors:  Bettina Sorger; Frank Scharnowski; David E J Linden; Michelle Hampson; Kymberly D Young
Journal:  Neuroimage       Date:  2018-11-10       Impact factor: 6.556

5.  Real-time fMRI biofeedback targeting the orbitofrontal cortex for contamination anxiety.

Authors:  Michelle Hampson; Teodora Stoica; John Saksa; Dustin Scheinost; Maolin Qiu; Jitendra Bhawnani; Christopher Pittenger; Xenophon Papademetris; Todd Constable
Journal:  J Vis Exp       Date:  2012-01-20       Impact factor: 1.355

6.  Upregulation of emotion areas through neurofeedback with a focus on positive mood.

Authors:  Stephen Johnston; D E J Linden; D Healy; R Goebel; I Habes; S G Boehm
Journal:  Cogn Affect Behav Neurosci       Date:  2011-03       Impact factor: 3.282

Review 7.  Amygdala real-time functional magnetic resonance imaging neurofeedback for major depressive disorder: A review.

Authors:  Kymberly D Young; Vadim Zotev; Raquel Phillips; Masaya Misaki; Wayne C Drevets; Jerzy Bodurka
Journal:  Psychiatry Clin Neurosci       Date:  2018-05-21       Impact factor: 5.188

8.  Automated classification of fMRI data employing trial-based imagery tasks.

Authors:  Jong-Hwan Lee; Matthew Marzelli; Ferenc A Jolesz; Seung-Schik Yoo
Journal:  Med Image Anal       Date:  2009-01-16       Impact factor: 8.545

9.  Improving visual perception through neurofeedback.

Authors:  Frank Scharnowski; Chloe Hutton; Oliver Josephs; Nikolaus Weiskopf; Geraint Rees
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

10.  A graphics processing unit accelerated motion correction algorithm and modular system for real-time fMRI.

Authors:  Dustin Scheinost; Michelle Hampson; Maolin Qiu; Jitendra Bhawnani; R Todd Constable; Xenophon Papademetris
Journal:  Neuroinformatics       Date:  2013-07
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