Literature DB >> 23852528

NIRS-based neurofeedback learning systems for controlling activity of the prefrontal cortex.

Kaoru Sakatani1, N Takemoto2, T Tsujii2, K Yanagisawa3, H Tsunashima3.   

Abstract

The aim of this study was to develop a NIRS-based neurofeedback system to modulate activity in the prefrontal cortex (PFC). We evaluated the effectiveness of the system in terms of separability of changes in oxy-Hb and its derivative. Training with neurofeedback resulted in higher separability than training without neurofeedback or no training, suggesting that the neurofeedback system could enhance self-control of PFC activity. Interestingly, the dorsolateral PFC exhibited enhanced activity and high separability after neurofeedback training. These observations suggest that the neurofeedback system might be useful for training subjects to regulate emotions by self-control of dorsolateral PFC activity.

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Year:  2013        PMID: 23852528     DOI: 10.1007/978-1-4614-7411-1_60

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  7 in total

1.  Optical-imaging-based neurofeedback to enhance therapeutic intervention in adolescents with autism: methodology and initial data.

Authors:  Ning Liu; Sarit Cliffer; Anjali H Pradhan; Amy Lightbody; Scott S Hall; Allan L Reiss
Journal:  Neurophotonics       Date:  2016-08-17       Impact factor: 3.593

2.  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

3.  BCI Control of Heuristic Search Algorithms.

Authors:  Marc Cavazza; Gabor Aranyi; Fred Charles
Journal:  Front Neuroinform       Date:  2017-01-31       Impact factor: 4.081

4.  Predicting affective valence using cortical hemodynamic signals.

Authors:  Lucas R Trambaiolli; Claudinei E Biazoli; André M Cravo; João R Sato
Journal:  Sci Rep       Date:  2018-03-29       Impact factor: 4.379

5.  Differential Subjective Experiences in Learners and Non-learners in Frontal Alpha Neurofeedback: Piloting a Mixed-Method Approach.

Authors:  Eddy J Davelaar; Joe M Barnby; Soma Almasi; Virginia Eatough
Journal:  Front Hum Neurosci       Date:  2018-10-23       Impact factor: 3.169

6.  Subject-independent decoding of affective states using functional near-infrared spectroscopy.

Authors:  Lucas R Trambaiolli; Juliana Tossato; André M Cravo; Claudinei E Biazoli; João R Sato
Journal:  PLoS One       Date:  2021-01-07       Impact factor: 3.240

7.  Affective Interaction with a Virtual Character Through an fNIRS Brain-Computer Interface.

Authors:  Gabor Aranyi; Florian Pecune; Fred Charles; Catherine Pelachaud; Marc Cavazza
Journal:  Front Comput Neurosci       Date:  2016-07-12       Impact factor: 2.380

  7 in total

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