Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment
- Authors
- Zhang, Han; Giannakopoulos, Panteleimon; Haller, Sven; Shen, Dinggang; Lee, Seong-Whan; Qiu, Shijun
- Issue Date
- 10월-2019
- Publisher
- HUMANA PRESS INC
- Keywords
- Functional magnetic resonance imaging (fMRI); Mild cognitive impairment (MCI); Alzheimer' s disease (AD); Functional connectivity; Brain network; High-order
- Citation
- NEUROINFORMATICS, v.17, no.4, pp.547 - 561
- Indexed
- SCIE
SCOPUS
- Journal Title
- NEUROINFORMATICS
- Volume
- 17
- Number
- 4
- Start Page
- 547
- End Page
- 561
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/62669
- DOI
- 10.1007/s12021-018-9413-x
- ISSN
- 1539-2791
- 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.
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