Literature DB >> 22019880

Real-time fMRI and its application to neurofeedback.

Nikolaus Weiskopf1.   

Abstract

Real-time fMRI (rtfMRI) allows immediate access to experimental results by analyzing data as fast as they are acquired. It was devised soon after the inception of fMRI and has undergone a rapid development since then. The availability of results during the ongoing experiment facilitates a variety of applications such as quality assurance or fast functional localization. RtfMRI can also be used as a brain-computer interface (BCI) with high spatial resolution and whole-brain coverage, overcoming limitations of EEG based BCIs. This review will focus on the application of rtfMRI BCIs to neurofeedback, i.e., the online feedback of the blood oxygen level dependent (BOLD) response. I will motivate its development and place its beginnings into the contemporary scientific context by providing an account of our early work at the University of Tübingen, followed by a review of the accomplishments and the current state of rtfMRI neurofeedback. RtfMRI neurofeedback has been used to train self-regulation of the local BOLD response in various different brain areas and to study consequential behavioral effects. Behavioral effects such as modulation of pain, reaction time, linguistic or emotional processing have been shown in healthy and/or patient populations. RtfMRI neurofeedback presents a new paradigm for studying the relation between brain behavior and physiology, because the latter can be regarded as the independent variable (unlike in conventional neuroimaging studies where behavior is the independent variable). The initial results in patient populations improving pain, tinnitus, depression or modulating perception in schizophrenia are encouraging and merit further controlled clinical studies.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22019880     DOI: 10.1016/j.neuroimage.2011.10.009

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  96 in total

1.  Alterations of amygdala-prefrontal connectivity with real-time fMRI neurofeedback in BPD patients.

Authors:  Christian Paret; Rosemarie Kluetsch; Jenny Zaehringer; Matthias Ruf; Traute Demirakca; Martin Bohus; Gabriele Ende; Christian Schmahl
Journal:  Soc Cogn Affect Neurosci       Date:  2016-02-01       Impact factor: 3.436

2.  Psychological, endocrine and neural responses to social evaluation in subclinical depression.

Authors:  Katarina Dedovic; Annie Duchesne; Veronika Engert; Sonja Damika Lue; Julie Andrews; Simona I Efanov; Thomas Beaudry; Jens C Pruessner
Journal:  Soc Cogn Affect Neurosci       Date:  2013-09-26       Impact factor: 3.436

3.  Real-time fMRI neurofeedback of the mediodorsal and anterior thalamus enhances correlation between thalamic BOLD activity and alpha EEG rhythm.

Authors:  Vadim Zotev; Masaya Misaki; Raquel Phillips; Chung Ki Wong; Jerzy Bodurka
Journal:  Hum Brain Mapp       Date:  2017-11-27       Impact factor: 5.038

4.  Reorganization of functional brain networks mediates the improvement of cognitive performance following real-time neurofeedback training of working memory.

Authors:  Gaoyan Zhang; Li Yao; Jiahui Shen; Yihong Yang; Xiaojie Zhao
Journal:  Hum Brain Mapp       Date:  2014-12-26       Impact factor: 5.038

5.  Resting state differences between successful and unsuccessful restrained eaters.

Authors:  Yixiao Zhang; Shaorui Wang; Luqing Wei; Todd Jackson; Xiao Gao; Mingyue Xiao; Gaolang Gong; Hong Chen
Journal:  Brain Imaging Behav       Date:  2021-04       Impact factor: 3.978

Review 6.  The use of functional neuroimaging to evaluate psychological and other non-pharmacological treatments for clinical pain.

Authors:  Karin B Jensen; Chantal Berna; Marco L Loggia; Ajay D Wasan; Robert R Edwards; Randy L Gollub
Journal:  Neurosci Lett       Date:  2012-03-14       Impact factor: 3.046

Review 7.  Real-time fMRI neurofeedback: progress and challenges.

Authors:  J Sulzer; S Haller; F Scharnowski; N Weiskopf; N Birbaumer; M L Blefari; A B Bruehl; L G Cohen; R C DeCharms; R Gassert; R Goebel; U Herwig; S LaConte; D Linden; A Luft; E Seifritz; R Sitaram
Journal:  Neuroimage       Date:  2013-03-27       Impact factor: 6.556

8.  How feedback, motor imagery, and reward influence brain self-regulation using real-time fMRI.

Authors:  Pradyumna Sepulveda; Ranganatha Sitaram; Mohit Rana; Cristian Montalba; Cristian Tejos; Sergio Ruiz
Journal:  Hum Brain Mapp       Date:  2016-06-06       Impact factor: 5.038

9.  Real time fMRI feedback of the anterior cingulate and posterior insular cortex in the processing of pain.

Authors:  Mariela Rance; Michaela Ruttorf; Frauke Nees; Lothar Rudi Schad; Herta Flor
Journal:  Hum Brain Mapp       Date:  2014-07-16       Impact factor: 5.038

10.  The voluntary driven exoskeleton Hybrid Assistive Limb (HAL) for postoperative training of thoracic ossification of the posterior longitudinal ligament: a case report.

Authors:  Kengo Fujii; Tetsuya Abe; Shigeki Kubota; Aiki Marushima; Hiroaki Kawamoto; Tomoyuki Ueno; Akira Matsushita; Kei Nakai; Kosaku Saotome; Hideki Kadone; Ayumu Endo; Ayumu Haginoya; Yasushi Hada; Akira Matsumura; Yoshiyuki Sankai; Masashi Yamazaki
Journal:  J Spinal Cord Med       Date:  2016-02-09       Impact factor: 1.985

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.