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

Han Zhang, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen, Seong Whan Lee, Shijun Qiu

Research output: Contribution to journalArticle

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.

Original languageEnglish
JournalNeuroinformatics
DOIs
Publication statusPublished - 2019 Jan 1

Fingerprint

Brain
Temporal Lobe
Brain Diseases
Neurosciences
Cognition
Biomarkers
Early Diagnosis
Alzheimer Disease
Oxygen
Blood
Cognitive Dysfunction

Keywords

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

ASJC Scopus subject areas

  • Software
  • Neuroscience(all)
  • Information Systems

Cite this

Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment. / Zhang, Han; Giannakopoulos, Panteleimon; Haller, Sven; Shen, Dinggang; Lee, Seong Whan; Qiu, Shijun.

In: Neuroinformatics, 01.01.2019.

Research output: Contribution to journalArticle

@article{6dc979769c3845edb6c291d8c31f595f,
title = "Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment",
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.",
keywords = "Alzheimer’s disease (AD), Brain network, Functional connectivity, Functional magnetic resonance imaging (fMRI), High-order, Mild cognitive impairment (MCI)",
author = "Han Zhang and Panteleimon Giannakopoulos and Sven Haller and Dinggang Shen and Lee, {Seong Whan} and Shijun Qiu",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/s12021-018-9413-x",
language = "English",
journal = "Neuroinformatics",
issn = "1539-2791",
publisher = "Humana Press",

}

TY - JOUR

T1 - Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment

AU - Zhang, Han

AU - Giannakopoulos, Panteleimon

AU - Haller, Sven

AU - Shen, Dinggang

AU - Lee, Seong Whan

AU - Qiu, Shijun

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Alzheimer’s disease (AD)

KW - Brain network

KW - Functional connectivity

KW - Functional magnetic resonance imaging (fMRI)

KW - High-order

KW - Mild cognitive impairment (MCI)

UR - http://www.scopus.com/inward/record.url?scp=85061317144&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061317144&partnerID=8YFLogxK

U2 - 10.1007/s12021-018-9413-x

DO - 10.1007/s12021-018-9413-x

M3 - Article

JO - Neuroinformatics

JF - Neuroinformatics

SN - 1539-2791

ER -