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Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Geneva Univ Hosp, Div Psychiat, Geneva, Switzerland.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology. Affidea CDRC Ctr Diagnost Radiol Carouge, Carouge, Switzerland; Univ Hosp Freiburg, Dept Neuroradiol, Freiburg, Germany; Univ Geneva, Fac Med, Geneva, Switzerland.ORCID iD: 0000-0001-7433-0203
Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
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2019 (English)In: Neuroinformatics, ISSN 1539-2791, E-ISSN 1559-0089, Vol. 17, no 4, p. 547-561Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2019. Vol. 17, no 4, p. 547-561
Keywords [en]
Alzheimer’s disease (AD), Brain network, Functional connectivity, Functional magnetic resonance imaging (fMRI), High-order, Mild cognitive impairment (MCI)
National Category
Neurology
Identifiers
URN: urn:nbn:se:uu:diva-382955DOI: 10.1007/s12021-018-9413-xISI: 000495242400006PubMedID: 30739281OAI: oai:DiVA.org:uu-382955DiVA, id: diva2:1314059
Funder
NIH (National Institute of Health), EB006733 EB008374 EB009634 MH100217 AG041721 AG049371 AG042599Available from: 2019-05-07 Created: 2019-05-07 Last updated: 2019-12-04Bibliographically approved

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Haller, Sven

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