Literature DB >> 30739281

Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment.

Han Zhang1, Panteleimon Giannakopoulos2, Sven Haller3,4,5,6, Seong-Whan Lee7, Shijun Qiu8, Dinggang Shen9,10.   

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.

Entities:  

Keywords:  Alzheimer’s disease (AD); Brain network; Functional connectivity; Functional magnetic resonance imaging (fMRI); High-order; Mild cognitive impairment (MCI)

Mesh:

Year:  2019        PMID: 30739281     DOI: 10.1007/s12021-018-9413-x

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  74 in total

1.  Connectome-scale assessments of structural and functional connectivity in MCI.

Authors:  Dajiang Zhu; Kaiming Li; Douglas P Terry; A Nicholas Puente; Lihong Wang; Dinggang Shen; L Stephen Miller; Tianming Liu
Journal:  Hum Brain Mapp       Date:  2013-09-30       Impact factor: 5.038

2.  Defining functional areas in individual human brains using resting functional connectivity MRI.

Authors:  Alexander L Cohen; Damien A Fair; Nico U F Dosenbach; Francis M Miezin; Donna Dierker; David C Van Essen; Bradley L Schlaggar; Steven E Petersen
Journal:  Neuroimage       Date:  2008-03-25       Impact factor: 6.556

Review 3.  Resting-state functional MR imaging: a new window to the brain.

Authors:  Frederik Barkhof; Sven Haller; Serge A R B Rombouts
Journal:  Radiology       Date:  2014-07       Impact factor: 11.105

4.  Basal functional connectivity within the anterior temporal network is associated with performance on declarative memory tasks.

Authors:  Natalina Gour; Jean-Philippe Ranjeva; Mathieu Ceccaldi; Sylviane Confort-Gouny; Emmanuel Barbeau; Elisabeth Soulier; Maxime Guye; Mira Didic; Olivier Felician
Journal:  Neuroimage       Date:  2011-06-21       Impact factor: 6.556

5.  Estimating functional brain networks by incorporating a modularity prior.

Authors:  Lishan Qiao; Han Zhang; Minjeong Kim; Shenghua Teng; Limei Zhang; Dinggang Shen
Journal:  Neuroimage       Date:  2016-07-30       Impact factor: 6.556

6.  Networks involved in olfaction and their dynamics using independent component analysis and unified structural equation modeling.

Authors:  Prasanna Karunanayaka; Paul J Eslinger; Jian-Li Wang; Christopher W Weitekamp; Sarah Molitoris; Kathleen M Gates; Peter C M Molenaar; Qing X Yang
Journal:  Hum Brain Mapp       Date:  2013-07-01       Impact factor: 5.038

7.  Where is the anterior temporal lobe and what does it do?

Authors:  Michael F Bonner; Amy R Price
Journal:  J Neurosci       Date:  2013-03-06       Impact factor: 6.167

8.  Intrinsically organized resting state networks in the human spinal cord.

Authors:  Yazhuo Kong; Falk Eippert; Christian F Beckmann; Jesper Andersson; Jürgen Finsterbusch; Christian Büchel; Irene Tracey; Jonathan C W Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-03       Impact factor: 11.205

9.  Altered Intranetwork and Internetwork Functional Connectivity in Type 2 Diabetes Mellitus With and Without Cognitive Impairment.

Authors:  Shi-Qi Yang; Zhi-Peng Xu; Ying Xiong; Ya-Feng Zhan; Lin-Ying Guo; Shun Zhang; Ri-Feng Jiang; Yi-Hao Yao; Yuan-Yuan Qin; Jian-Zhi Wang; Yong Liu; Wen-Zhen Zhu
Journal:  Sci Rep       Date:  2016-09-13       Impact factor: 4.379

10.  A method for functional network connectivity among spatially independent resting-state components in schizophrenia.

Authors:  Madiha J Jafri; Godfrey D Pearlson; Michael Stevens; Vince D Calhoun
Journal:  Neuroimage       Date:  2007-11-13       Impact factor: 6.556

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  2 in total

1.  A toolbox for brain network construction and classification (BrainNetClass).

Authors:  Zhen Zhou; Xiaobo Chen; Yu Zhang; Dan Hu; Lishan Qiao; Renping Yu; Pew-Thian Yap; Gang Pan; Han Zhang; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2020-03-12       Impact factor: 5.038

2.  Self-reference Network-Related Interactions During the Process of Cognitive Impairment in the Early Stages of Alzheimer's Disease.

Authors:  Ping-Hsuan Wei; Haifeng Chen; Qing Ye; Hui Zhao; Yun Xu; Feng Bai
Journal:  Front Aging Neurosci       Date:  2021-03-24       Impact factor: 5.750

  2 in total

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