Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding

[...]questions arise about how to observe, analyze, and model inter- and intra-subject variability, what researchers might gain or lose from this variability, and how to cope with the variability in brain imaging and decoding. According to the findings, patients with different genotypes have differe...

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Published inFrontiers in computational neuroscience Vol. 15; p. 791129
Main Authors Wei, Chun-Shu, Keller, Corey J., Li, Junhua, Lin, Yuan-Pin, Nakanishi, Masaki, Wagner, Johanna, Wu, Wei, Zhang, Yu, Jung, Tzyy-Ping
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 29.11.2021
Frontiers Media S.A
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ISSN1662-5188
1662-5188
DOI10.3389/fncom.2021.791129

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Abstract [...]questions arise about how to observe, analyze, and model inter- and intra-subject variability, what researchers might gain or lose from this variability, and how to cope with the variability in brain imaging and decoding. According to the findings, patients with different genotypes have different neuroimaging characteristics on causality connections and structural characteristics in the frontal-striatum-thalamus pathway, implying the importance of personalized clinical interventions. The authors measure and show significant test-retest reliability of neuronal activation and physiological responses associated with acute psychosocial stress using Montreal Imaging Stress Tasks. Funding This work was supported by the Ministry of Science and Technology of Taiwan (MOST 109-2222-E-009-006-MY3, 109-2221-E-110-009-MY3), the Higher Education Sprout Project of the National Yang Ming Chiao Tung University and Ministry of Education of Taiwan, the US Army Research Laboratory (W911NF2120154), the US National Science Foundation (CBET-1935860), the US National Institute of Mental Health (R01MH126639 and R01MH129018), Burroughs Wellcome Fund (Career Award for Medical Scientists), a gift to UC San Diego from The Swartz Foundation (Sag Harbor, NY), the National Natural Science Foundation of China (61806149), and the Guangdong Basic and Applied Basic Research Foundation (2020A1515010991).
AbstractList [...]questions arise about how to observe, analyze, and model inter- and intra-subject variability, what researchers might gain or lose from this variability, and how to cope with the variability in brain imaging and decoding. According to the findings, patients with different genotypes have different neuroimaging characteristics on causality connections and structural characteristics in the frontal-striatum-thalamus pathway, implying the importance of personalized clinical interventions. The authors measure and show significant test-retest reliability of neuronal activation and physiological responses associated with acute psychosocial stress using Montreal Imaging Stress Tasks. Funding This work was supported by the Ministry of Science and Technology of Taiwan (MOST 109-2222-E-009-006-MY3, 109-2221-E-110-009-MY3), the Higher Education Sprout Project of the National Yang Ming Chiao Tung University and Ministry of Education of Taiwan, the US Army Research Laboratory (W911NF2120154), the US National Science Foundation (CBET-1935860), the US National Institute of Mental Health (R01MH126639 and R01MH129018), Burroughs Wellcome Fund (Career Award for Medical Scientists), a gift to UC San Diego from The Swartz Foundation (Sag Harbor, NY), the National Natural Science Foundation of China (61806149), and the Guangdong Basic and Applied Basic Research Foundation (2020A1515010991).
Author Keller, Corey J.
Lin, Yuan-Pin
Zhang, Yu
Li, Junhua
Wu, Wei
Wei, Chun-Shu
Nakanishi, Masaki
Wagner, Johanna
Jung, Tzyy-Ping
AuthorAffiliation 9 Department of Bioengineering, Lehigh University , Bethlehem, PA , United States
4 Department of Psychiatry and Behavioral Sciences, Stanford University , Stanford, CA , United States
3 Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University , Hsinchu , Taiwan
5 School of Computer Science and Electronic Engineering, University of Essex , Colchester , United Kingdom
6 Institute of Medical Science and Technology, National Sun Yat-sen University , Kaohsiung , Taiwan
7 Department of Electrical Engineering, National Sun Yat-sen University , Kaohsiung , Taiwan
8 Institute for Neural Computation, University of California, San Diego , San Diego, CA , United States
1 Department of Computer Science, National Yang Ming Chiao Tung University , Hsinchu , Taiwan
2 Institute of Education, National Yang Ming Chiao Tung University , Hsinchu , Taiwan
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Copyright © 2021 Wei, Keller, Li, Lin, Nakanishi, Wagner, Wu, Zhang and Jung. 2021 Wei, Keller, Li, Lin, Nakanishi, Wagner, Wu, Zhang and Jung
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Keywords fMRI
fNIRS
EEG
brain-computer interface
brain decoding
human variability
MEG
neuroimaging
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Edited and reviewed by: Si Wu, Peking University, China
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SubjectTerms Alzheimer's disease
brain decoding
Brain research
brain-computer interface
Classification
Datasets
Editorials
Education
EEG
Feedback
Genotypes
human variability
Medical imaging
MEG
Neostriatum
Neuroimaging
Neuroscience
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Title Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding
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