Literature DB >> 26706052

The self-regulating brain and neurofeedback: Experimental science and clinical promise.

Robert T Thibault1, Michael Lifshitz2, Amir Raz3.   

Abstract

Neurofeedback, one of the primary examples of self-regulation, designates a collection of techniques that train the brain and help to improve its function. Since coming on the scene in the 1960s, electroencephalography-neurofeedback has become a treatment vehicle for a host of mental disorders; however, its clinical effectiveness remains controversial. Modern imaging technologies of the living human brain (e.g., real-time functional magnetic resonance imaging) and increasingly rigorous research protocols that utilize such methodologies begin to shed light on the underlying mechanisms that may facilitate more effective clinical applications. In this paper we focus on recent technological advances in the field of human brain imaging and discuss how these modern methods may influence the field of neurofeedback. Toward this end, we outline the state of the evidence and sketch out future directions to further explore the potential merits of this contentious therapeutic prospect.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Neurofeedback; Neuroimaging; Psychiatry; Self-regulation; rtfMRI

Mesh:

Year:  2015        PMID: 26706052     DOI: 10.1016/j.cortex.2015.10.024

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  54 in total

1.  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

2.  Anterior Cruciate Ligament Research Retreat VIII Summary Statement: An Update on Injury Risk Identification and Prevention Across the Anterior Cruciate Ligament Injury Continuum, March 14-16, 2019, Greensboro, NC.

Authors:  Sandra J Shultz; Randy J Schmitz; Kenneth L Cameron; Kevin R Ford; Dustin R Grooms; Lindsey K Lepley; Gregory D Myer; Brian Pietrosimone
Journal:  J Athl Train       Date:  2019-08-28       Impact factor: 2.860

3.  Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fNIRS-EEG study.

Authors:  Fares Al-Shargie; Tong Boon Tang; Masashi Kiguchi
Journal:  Biomed Opt Express       Date:  2017-04-19       Impact factor: 3.732

Review 4.  Closed-loop brain training: the science of neurofeedback.

Authors:  Ranganatha Sitaram; Tomas Ros; Luke Stoeckel; Sven Haller; Frank Scharnowski; Jarrod Lewis-Peacock; Nikolaus Weiskopf; Maria Laura Blefari; Mohit Rana; Ethan Oblak; Niels Birbaumer; James Sulzer
Journal:  Nat Rev Neurosci       Date:  2016-12-22       Impact factor: 34.870

5.  Intrinsic connectivity network dynamics in PTSD during amygdala downregulation using real-time fMRI neurofeedback: A preliminary analysis.

Authors:  Andrew A Nicholson; Daniela Rabellino; Maria Densmore; Paul A Frewen; Christian Paret; Rosemarie Kluetsch; Christian Schmahl; Jean Théberge; Tomas Ros; Richard W J Neufeld; Margaret C McKinnon; Jeffrey P Reiss; Rakesh Jetly; Ruth A Lanius
Journal:  Hum Brain Mapp       Date:  2018-07-13       Impact factor: 5.038

6.  Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior.

Authors:  Jennifer Stiso; Marie-Constance Corsi; Jean M Vettel; Javier Garcia; Fabio Pasqualetti; Fabrizio De Vico Fallani; Timothy H Lucas; Danielle S Bassett
Journal:  J Neural Eng       Date:  2020-07-24       Impact factor: 5.379

7.  Circuitry-Based Human Neuroanatomy for the Next Generation in Psychiatry and Neuroscience.

Authors:  Takeshi Sakurai
Journal:  Mol Neuropsychiatry       Date:  2017-09-07

8.  The climate of neurofeedback: scientific rigour and the perils of ideology.

Authors:  Robert T Thibault; Michael Lifshitz; Amir Raz
Journal:  Brain       Date:  2018-02-01       Impact factor: 13.501

9.  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

10.  Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profiles.

Authors:  Lucas R Trambaiolli; Claudinei E Biazoli; André M Cravo; Tiago H Falk; João R Sato
Journal:  Neurophotonics       Date:  2018-09-18       Impact factor: 3.593

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