https://scholars.lib.ntu.edu.tw/handle/123456789/598965
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang L.-M | en_US |
dc.contributor.author | Huang Y.-H | en_US |
dc.contributor.author | Chou P.-H | en_US |
dc.contributor.author | Wang Y.-M | en_US |
dc.contributor.author | Chen C.-M | en_US |
dc.contributor.author | Sun C.-W. | en_US |
dc.contributor.author | CHUNG-MING CHEN | en_US |
dc.creator | Wang L.-M;Huang Y.-H;Chou P.-H;Wang Y.-M;Chen C.-M;Sun C.-W. | - |
dc.date.accessioned | 2022-03-22T08:28:47Z | - |
dc.date.available | 2022-03-22T08:28:47Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 1864063X | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117017011&doi=10.1002%2fjbio.202100180&partnerID=40&md5=801f480b3e9928ce658920bb294933b6 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/598965 | - |
dc.description.abstract | Human connectome describes the complicated connection matrix of nervous system among human brain. It also possesses high potential of assisting doctors to monitor the brain injuries and recoveries in patients. In order to unravel the enigma of neuron connections and functions, previous research has strived to dig out the relations between neurons and brain regions. Verbal fluency test (VFT) is a general neuropsychological test, which has been used in functional connectivity investigations. In this study, we employed convolutional neural network (CNN) on a brain hemoglobin concentration changes (ΔHB) map obtained during VFT to investigate the connections of activated brain areas and different mental status. Our results show that feature of functional connectivity can be identified accurately with the employment of CNN on ΔHB mapping, which is beneficial to improve the understanding of brain functional connections. ? 2021 Wiley-VCH GmbH | - |
dc.relation.ispartof | Journal of Biophotonics | - |
dc.subject | Brain mapping | - |
dc.subject | Convolution | - |
dc.subject | Convolutional neural networks | - |
dc.subject | Infrared devices | - |
dc.subject | Machine learning | - |
dc.subject | Near infrared spectroscopy | - |
dc.subject | Brain connectivity | - |
dc.subject | Convolutional neural network | - |
dc.subject | Functional connectivity | - |
dc.subject | Functional near infrared spectroscopy | - |
dc.subject | High potential | - |
dc.subject | Human brain | - |
dc.subject | Human Connectome | - |
dc.subject | Near-infrared spectroscopy analysis | - |
dc.subject | Verbal fluencies | - |
dc.subject | Verbal fluency test | - |
dc.subject | Brain | - |
dc.subject | brain | - |
dc.subject | diagnostic imaging | - |
dc.subject | human | - |
dc.subject | near infrared spectroscopy | - |
dc.subject | Humans | - |
dc.subject | Neural Networks, Computer | - |
dc.subject | Spectroscopy, Near-Infrared | - |
dc.title | Characteristics of brain connectivity during verbal fluency test: Convolutional neural network for functional near-infrared spectroscopy analysis | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1002/jbio.202100180 | - |
dc.identifier.pmid | 34553833 | - |
dc.identifier.scopus | 2-s2.0-85117017011 | - |
dc.relation.journalvolume | 15 | - |
dc.relation.journalissue | 1 | - |
item.fulltext | no fulltext | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.grantfulltext | none | - |
item.openairetype | journal article | - |
crisitem.author.dept | Biomedical Engineering | - |
crisitem.author.orcid | 0000-0002-0023-5817 | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Engineering | - |
Appears in Collections: | 醫學工程學研究所 |
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