Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment
DC Field | Value | Language |
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dc.contributor.author | Zhang, Han | - |
dc.contributor.author | Giannakopoulos, Panteleimon | - |
dc.contributor.author | Haller, Sven | - |
dc.contributor.author | Shen, Dinggang | - |
dc.contributor.author | Lee, Seong-Whan | - |
dc.contributor.author | Qiu, Shijun | - |
dc.date.accessioned | 2021-09-01T04:58:38Z | - |
dc.date.available | 2021-09-01T04:58:38Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 1539-2791 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/62669 | - |
dc.description.abstract | Little is known about the high-order interactions among brain regions measured by the similarity of higher-order features (other than the raw blood-oxygen-level-dependent signals) which can characterize higher-level brain functional connectivity (FC). Previously, we proposed FC topographical profile-based high-order FC (HOFC) and found that this metric could provide supplementary information to traditional FC for early Alzheimer's disease (AD) detection. However, whether such findings apply to network-level brain functional integration is unknown. In this paper, we propose an extended HOFC method, termed inter-network high-order FC (IN-HOFC), as a useful complement to the traditional inter-network FC methods, for characterizing more complex organizations among the large-scale brain networks. In the IN-HOFC, both network definition and inter-network FC are defined in a high-order manner. To test whether IN-HOFC is more sensitive to cognition decline due to brain diseases than traditional inter-network FC, 77 mild cognitive impairments (MCIs) and 89 controls are compared among the conventional methods and our IN-HOFC. The result shows that IN-HOFCs among three temporal lobe-related high-order networks are dampened in MCIs. The impairment of IN-HOFC is especially found between the anterior and posterior medial temporal lobe and could be a potential MCI biomarker at the network level. The competing network-level low-order FC methods, however, either revealing less or failing to detect any group difference. This work demonstrates the biological meaning and potential diagnostic value of the IN-HOFC in clinical neuroscience studies. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | HUMANA PRESS INC | - |
dc.subject | HUMAN CEREBRAL-CORTEX | - |
dc.subject | ALZHEIMERS-DISEASE | - |
dc.subject | BRAIN NETWORKS | - |
dc.subject | CLUSTER-ANALYSIS | - |
dc.subject | EPISODIC MEMORY | - |
dc.subject | PARCELLATION | - |
dc.subject | PATTERNS | - |
dc.subject | ORGANIZATION | - |
dc.subject | INSIGHTS | - |
dc.subject | DYNAMICS | - |
dc.title | Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Shen, Dinggang | - |
dc.contributor.affiliatedAuthor | Lee, Seong-Whan | - |
dc.identifier.doi | 10.1007/s12021-018-9413-x | - |
dc.identifier.scopusid | 2-s2.0-85061317144 | - |
dc.identifier.wosid | 000495242400006 | - |
dc.identifier.bibliographicCitation | NEUROINFORMATICS, v.17, no.4, pp.547 - 561 | - |
dc.relation.isPartOf | NEUROINFORMATICS | - |
dc.citation.title | NEUROINFORMATICS | - |
dc.citation.volume | 17 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 547 | - |
dc.citation.endPage | 561 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Neurosciences | - |
dc.subject.keywordPlus | HUMAN CEREBRAL-CORTEX | - |
dc.subject.keywordPlus | ALZHEIMERS-DISEASE | - |
dc.subject.keywordPlus | BRAIN NETWORKS | - |
dc.subject.keywordPlus | CLUSTER-ANALYSIS | - |
dc.subject.keywordPlus | EPISODIC MEMORY | - |
dc.subject.keywordPlus | PARCELLATION | - |
dc.subject.keywordPlus | PATTERNS | - |
dc.subject.keywordPlus | ORGANIZATION | - |
dc.subject.keywordPlus | INSIGHTS | - |
dc.subject.keywordPlus | DYNAMICS | - |
dc.subject.keywordAuthor | Functional magnetic resonance imaging (fMRI) | - |
dc.subject.keywordAuthor | Mild cognitive impairment (MCI) | - |
dc.subject.keywordAuthor | Alzheimer&apos | - |
dc.subject.keywordAuthor | s disease (AD) | - |
dc.subject.keywordAuthor | Functional connectivity | - |
dc.subject.keywordAuthor | Brain network | - |
dc.subject.keywordAuthor | High-order | - |
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