Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training

Neurofeedback (NF) aptitude, which refers to an individual's ability to change brain activity through NF training, has been reported to vary significantly from person to person. The prediction of individual NF aptitudes is critical in clinical applications to screen patients suitable for NF tre...

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Autores principales: Takashi Nakano, Masahiro Takamura, Haruki Nishimura, Maro G. Machizawa, Naho Ichikawa, Atsuo Yoshino, Go Okada, Yasumasa Okamoto, Shigeto Yamawaki, Makiko Yamada, Tetsuya Suhara, Junichiro Yoshimoto
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/733db5073d48444ca77555d5c56e370a
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spelling oai:doaj.org-article:733db5073d48444ca77555d5c56e370a2021-11-28T04:29:04ZResting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training1095-957210.1016/j.neuroimage.2021.118733https://doaj.org/article/733db5073d48444ca77555d5c56e370a2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1053811921010053https://doaj.org/toc/1095-9572Neurofeedback (NF) aptitude, which refers to an individual's ability to change brain activity through NF training, has been reported to vary significantly from person to person. The prediction of individual NF aptitudes is critical in clinical applications to screen patients suitable for NF treatment. In the present study, we extracted the resting-state functional brain connectivity (FC) markers of NF aptitude, independent of NF-targeting brain regions. We combined the data from fMRI-NF studies targeting four different brain regions at two independent sites (obtained from 59 healthy adults and six patients with major depressive disorder) to collect resting-state fMRI data associated with aptitude scores in subsequent fMRI-NF training. We then trained the multiple regression models to predict the individual NF aptitude scores from the resting-state fMRI data using a discovery dataset from one site and identified six resting-state FCs that predicted NF aptitude. Subsequently, the reproducibility of the prediction model was validated using independent test data from another site. The identified FC model revealed that the posterior cingulate cortex was the functional hub among the brain regions and formed predictive resting-state FCs, suggesting that NF aptitude may be involved in the attentional mode-orientation modulation system's characteristics in task-free resting-state brain activity.Takashi NakanoMasahiro TakamuraHaruki NishimuraMaro G. MachizawaNaho IchikawaAtsuo YoshinoGo OkadaYasumasa OkamotoShigeto YamawakiMakiko YamadaTetsuya SuharaJunichiro YoshimotoElsevierarticleNeurofeedback with functional MRIPrediction of neurofeedback aptitude, Resting-state functional connectivityPartial least square regressionGeneralization to independent test dataNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeuroImage, Vol 245, Iss , Pp 118733- (2021)
institution DOAJ
collection DOAJ
language EN
topic Neurofeedback with functional MRI
Prediction of neurofeedback aptitude, Resting-state functional connectivity
Partial least square regression
Generalization to independent test data
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle Neurofeedback with functional MRI
Prediction of neurofeedback aptitude, Resting-state functional connectivity
Partial least square regression
Generalization to independent test data
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Takashi Nakano
Masahiro Takamura
Haruki Nishimura
Maro G. Machizawa
Naho Ichikawa
Atsuo Yoshino
Go Okada
Yasumasa Okamoto
Shigeto Yamawaki
Makiko Yamada
Tetsuya Suhara
Junichiro Yoshimoto
Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training
description Neurofeedback (NF) aptitude, which refers to an individual's ability to change brain activity through NF training, has been reported to vary significantly from person to person. The prediction of individual NF aptitudes is critical in clinical applications to screen patients suitable for NF treatment. In the present study, we extracted the resting-state functional brain connectivity (FC) markers of NF aptitude, independent of NF-targeting brain regions. We combined the data from fMRI-NF studies targeting four different brain regions at two independent sites (obtained from 59 healthy adults and six patients with major depressive disorder) to collect resting-state fMRI data associated with aptitude scores in subsequent fMRI-NF training. We then trained the multiple regression models to predict the individual NF aptitude scores from the resting-state fMRI data using a discovery dataset from one site and identified six resting-state FCs that predicted NF aptitude. Subsequently, the reproducibility of the prediction model was validated using independent test data from another site. The identified FC model revealed that the posterior cingulate cortex was the functional hub among the brain regions and formed predictive resting-state FCs, suggesting that NF aptitude may be involved in the attentional mode-orientation modulation system's characteristics in task-free resting-state brain activity.
format article
author Takashi Nakano
Masahiro Takamura
Haruki Nishimura
Maro G. Machizawa
Naho Ichikawa
Atsuo Yoshino
Go Okada
Yasumasa Okamoto
Shigeto Yamawaki
Makiko Yamada
Tetsuya Suhara
Junichiro Yoshimoto
author_facet Takashi Nakano
Masahiro Takamura
Haruki Nishimura
Maro G. Machizawa
Naho Ichikawa
Atsuo Yoshino
Go Okada
Yasumasa Okamoto
Shigeto Yamawaki
Makiko Yamada
Tetsuya Suhara
Junichiro Yoshimoto
author_sort Takashi Nakano
title Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training
title_short Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training
title_full Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training
title_fullStr Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training
title_full_unstemmed Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training
title_sort resting-state brain activity can predict target-independent aptitude in fmri-neurofeedback training
publisher Elsevier
publishDate 2021
url https://doaj.org/article/733db5073d48444ca77555d5c56e370a
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