Literature DB >> 30423429

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

Bettina Sorger1, Frank Scharnowski2, David E J Linden3, Michelle Hampson4, Kymberly D Young5.   

Abstract

fMRI Neurofeedback research employs many different control conditions. Currently, there is no consensus as to which control condition is best, and the answer depends on what aspects of the neurofeedback-training design one is trying to control for. These aspects can range from determining whether participants can learn to control brain activity via neurofeedback to determining whether there are clinically significant effects of the neurofeedback intervention. Lack of consensus over criteria for control conditions has hampered the design and interpretation of studies employing neurofeedback protocols. This paper presents an overview of the most commonly employed control conditions currently used in neurofeedback studies and discusses their advantages and disadvantages. Control conditions covered include no control, treatment-as-usual, bidirectional-regulation control, feedback of an alternative brain signal, sham feedback, and mental-rehearsal control. We conclude that the selection of the control condition(s) should be determined by the specific research goal of the study and best procedures that effectively control for relevant confounding factors.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Control conditions; Mental-rehearsal; Neurofeedback; Placebo; Real-time neuroimaging; Sham

Mesh:

Year:  2018        PMID: 30423429      PMCID: PMC6338498          DOI: 10.1016/j.neuroimage.2018.11.004

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


  98 in total

1.  Within-subject control designs and voluntary bidirectional control of cardiac rate: methodological comparison between pre-experiment and pretrial baselines.

Authors:  K R Blankstein; J Zimmerman; K Egner
Journal:  J Gen Psychol       Date:  1976-10

2.  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

3.  fMRI feedback enhances emotion regulation as evidenced by a reduced amygdala response.

Authors:  Pegah Sarkheil; Anna Zilverstand; Niclas Kilian-Hütten; Frank Schneider; Rainer Goebel; Klaus Mathiak
Journal:  Behav Brain Res       Date:  2014-11-23       Impact factor: 3.332

4.  Application of alpha/theta neurofeedback and heart rate variability training to young contemporary dancers: state anxiety and creativity.

Authors:  J H Gruzelier; T Thompson; E Redding; R Brandt; T Steffert
Journal:  Int J Psychophysiol       Date:  2013-05-15       Impact factor: 2.997

5.  Current practices in clinical neurofeedback with functional MRI-Analysis of a survey using the TIDieR checklist.

Authors:  Elizabeth Randell; Rachel McNamara; Leena Subramanian; Kerenza Hood; David Linden
Journal:  Eur Psychiatry       Date:  2018-02-01       Impact factor: 5.361

6.  Treatment-as-usual (TAU) is anything but usual: a meta-analysis of CBT versus TAU for anxiety and depression.

Authors:  Sarah E Watts; Adrienne Turnell; Natalie Kladnitski; Jill M Newby; Gavin Andrews
Journal:  J Affect Disord       Date:  2014-12-15       Impact factor: 4.839

7.  Closed-loop training of attention with real-time brain imaging.

Authors:  Megan T deBettencourt; Jonathan D Cohen; Ray F Lee; Kenneth A Norman; Nicholas B Turk-Browne
Journal:  Nat Neurosci       Date:  2015-02-09       Impact factor: 24.884

8.  Self-regulation of brain activity in patients with postherpetic neuralgia: a double-blind randomized study using real-time FMRI neurofeedback.

Authors:  Min Guan; Lijia Ma; Li Li; Bin Yan; Lu Zhao; Li Tong; Shewei Dou; Linjie Xia; Meiyun Wang; Dapeng Shi
Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

9.  Neurofeedback training for alcohol dependence versus treatment as usual: study protocol for a randomized controlled trial.

Authors:  W Miles Cox; Leena Subramanian; David E J Linden; Michael Lührs; Rachel McNamara; Rebecca Playle; Kerenza Hood; Gareth Watson; Joseph R Whittaker; Raman Sakhuja; Niklas Ihssen
Journal:  Trials       Date:  2016-10-03       Impact factor: 2.279

10.  Neural substrates of cognitive control under the belief of getting neurofeedback training.

Authors:  Manuel Ninaus; Silvia E Kober; Matthias Witte; Karl Koschutnig; Matthias Stangl; Christa Neuper; Guilherme Wood
Journal:  Front Hum Neurosci       Date:  2013-12-26       Impact factor: 3.169

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  30 in total

Review 1.  The Effects of Neurofeedback on Aging-Associated Cognitive Decline: A Systematic Review.

Authors:  Fátima Laborda-Sánchez; Selene Cansino
Journal:  Appl Psychophysiol Biofeedback       Date:  2021-01-02

2.  Clinical Application of Real-Time fMRI-Based Neurofeedback for Depression.

Authors:  Klaus Mathiak; Micha Keller
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

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.  Implicit Neurofeedback Training of Feature-Based Attention Promotes Biased Sensory Processing during Integrative Decision-Making.

Authors:  Angela I Renton; David R Painter; Jason B Mattingley
Journal:  J Neurosci       Date:  2021-08-12       Impact factor: 6.167

7.  Differential neural plasticity of individual fingers revealed by fMRI neurofeedback.

Authors:  Ethan Oblak; Jarrod Lewis-Peacock; James Sulzer
Journal:  J Neurophysiol       Date:  2021-03-31       Impact factor: 2.714

8.  Neurofeedback Training versus Treatment-as-Usual for Alcohol Dependence: Results of an Early-Phase Randomized Controlled Trial and Neuroimaging Correlates.

Authors:  Leena Subramanian; Leon Skottnik; W Miles Cox; Michael Lührs; Rachel McNamara; Kerry Hood; Gareth Watson; Joseph R Whittaker; Angharad N Williams; Raman Sakhuja; Niklas Ihssen; Rainer Goebel; Rebecca Playle; David E J Linden
Journal:  Eur Addict Res       Date:  2021-03-05       Impact factor: 3.015

Review 9.  Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment.

Authors:  Lucas R Trambaiolli; Raymundo Cassani; David M A Mehler; Tiago H Falk
Journal:  Front Aging Neurosci       Date:  2021-06-09       Impact factor: 5.750

10.  Matched neurofeedback during fMRI differentially activates reward-related circuits in active and sham groups.

Authors:  Seyhmus Guler; Alexander L Cohen; Onur Afacan; Simon K Warfield
Journal:  J Neuroimaging       Date:  2021-06-08       Impact factor: 2.324

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