Literature DB >> 21652587

Real-time fMRI: a tool for local brain regulation.

Andrea Caria1, Ranganatha Sitaram, Niels Birbaumer.   

Abstract

Real-time fMRI permits simultaneous measurement and observation of brain activity during an ongoing task. One of the most challenging applications of real-time fMRI in neuroscientific and clinical research is the possibility of acquiring volitional control of localized brain activity using real-time fMRI-based neurofeedback protocols. Real-time fMRI allows the experimenter to noninvasively manipulate brain activity as an independent variable to observe the effects on behavior. Real-time fMRI neurofeedback studies demonstrated that learned control of the local brain activity leads to specific changes in behavior. Here, the authors describe the implementation and application of real-time fMRI with particular emphasis on the self-regulation of local brain activity and the investigation of brain-function relationships. Real-time fMRI represents a promising new approach to cognitive neuroscience that could complement traditional neuroimaging techniques by providing more causal insights into the functional role of circumscribed brain regions in behavior.

Entities:  

Mesh:

Year:  2011        PMID: 21652587     DOI: 10.1177/1073858411407205

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  52 in total

1.  Using real-time fMRI to learn voluntary regulation of the anterior insula in the presence of threat-related stimuli.

Authors:  Ralf Veit; Vanessa Singh; Ranganatha Sitaram; Andrea Caria; Karsten Rauss; Niels Birbaumer
Journal:  Soc Cogn Affect Neurosci       Date:  2011-10-07       Impact factor: 3.436

2.  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

3.  Functional Connectivity of Language Regions of Stroke Patients with Expressive Aphasia During Real-Time Functional Magnetic Resonance Imaging Based Neurofeedback.

Authors:  Sujesh Sreedharan; K M Arun; P N Sylaja; Chandrasekharan Kesavadas; Ranganatha Sitaram
Journal:  Brain Connect       Date:  2019-09-10

4.  Translational neuroscience and potential contributions of functional magnetic resonance imaging (FMRI) to the prevention of substance misuse and antisocial behavior.

Authors:  Lori A Whitten
Journal:  Prev Sci       Date:  2013-06

Review 5.  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

6.  Mandatory neurotechnological treatment: ethical issues.

Authors:  Farah Focquaert
Journal:  Theor Med Bioeth       Date:  2014-02

Review 7.  Brain-computer interfaces for communication and rehabilitation.

Authors:  Ujwal Chaudhary; Niels Birbaumer; Ander Ramos-Murguialday
Journal:  Nat Rev Neurol       Date:  2016-08-19       Impact factor: 42.937

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.  Self-regulating positive emotion networks by feedback of multiple emotional brain states using real-time fMRI.

Authors:  Zhonglin Li; Li Tong; Linyuan Wang; Yongli Li; Wenjie He; Min Guan; Bin Yan
Journal:  Exp Brain Res       Date:  2016-08-17       Impact factor: 1.972

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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