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Brain network alterations in Alzheimer's disease measured by eigenvector centrality in fMRI are related to cognition and CSF biomarkers.
Hum Brain Mapp 2014; 35(5):2383-93HB

Abstract

Recent imaging studies have demonstrated functional brain network changes in patients with Alzheimer's disease (AD). Eigenvector centrality (EC) is a graph analytical measure that identifies prominent regions in the brain network hierarchy and detects localized differences between patient populations. This study used voxel-wise EC mapping (ECM) to analyze individual whole-brain resting-state functional magnetic resonance imaging (MRI) scans in 39 AD patients (age 67 ± 8) and 43 healthy controls (age 69 ± 7). Between-group differences were assessed by a permutation-based method. Associations of EC with biomarkers for AD pathology in cerebrospinal fluid (CSF) and Mini Mental State Examination (MMSE) scores were assessed using Spearman correlation analysis. Decreased EC was found bilaterally in the occipital cortex in AD patients compared to controls. Regions of increased EC were identified in the anterior cingulate and paracingulate gyrus. Across groups, frontal and occipital EC changes were associated with pathological concentrations of CSF biomarkers and with cognition. In controls, decreased EC values in the occipital regions were related to lower MMSE scores. Our main finding is that ECM, a hypothesis-free and computationally efficient analysis method of functional MRI (fMRI) data, identifies changes in brain network organization in AD patients that are related to cognition and underlying AD pathology. The relation between AD-like EC changes and cognitive performance suggests that resting-state fMRI measured EC is a potential marker of disease severity for AD.

Authors+Show Affiliations

Department of Radiology and Nuclear Medicine, VU University Medical Center and Neuroscience Campus Amsterdam, The Netherlands.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

24039033

Citation

Binnewijzend, Maja A A., et al. "Brain Network Alterations in Alzheimer's Disease Measured By Eigenvector Centrality in fMRI Are Related to Cognition and CSF Biomarkers." Human Brain Mapping, vol. 35, no. 5, 2014, pp. 2383-93.
Binnewijzend MA, Adriaanse SM, Van der Flier WM, et al. Brain network alterations in Alzheimer's disease measured by eigenvector centrality in fMRI are related to cognition and CSF biomarkers. Hum Brain Mapp. 2014;35(5):2383-93.
Binnewijzend, M. A., Adriaanse, S. M., Van der Flier, W. M., Teunissen, C. E., de Munck, J. C., Stam, C. J., ... Wink, A. M. (2014). Brain network alterations in Alzheimer's disease measured by eigenvector centrality in fMRI are related to cognition and CSF biomarkers. Human Brain Mapping, 35(5), pp. 2383-93. doi:10.1002/hbm.22335.
Binnewijzend MA, et al. Brain Network Alterations in Alzheimer's Disease Measured By Eigenvector Centrality in fMRI Are Related to Cognition and CSF Biomarkers. Hum Brain Mapp. 2014;35(5):2383-93. PubMed PMID: 24039033.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Brain network alterations in Alzheimer's disease measured by eigenvector centrality in fMRI are related to cognition and CSF biomarkers. AU - Binnewijzend,Maja A A, AU - Adriaanse,Sofie M, AU - Van der Flier,Wiesje M, AU - Teunissen,Charlotte E, AU - de Munck,Jan C, AU - Stam,Cornelis J, AU - Scheltens,Philip, AU - van Berckel,Bart N M, AU - Barkhof,Frederik, AU - Wink,Alle Meije, Y1 - 2013/09/03/ PY - 2012/12/19/received PY - 2013/04/18/revised PY - 2013/05/09/accepted PY - 2013/9/17/entrez PY - 2013/9/17/pubmed PY - 2014/12/15/medline KW - Alzheimer's disease KW - amyloid-beta KW - cognition KW - functional connectivity KW - resting-state fMRI SP - 2383 EP - 93 JF - Human brain mapping JO - Hum Brain Mapp VL - 35 IS - 5 N2 - Recent imaging studies have demonstrated functional brain network changes in patients with Alzheimer's disease (AD). Eigenvector centrality (EC) is a graph analytical measure that identifies prominent regions in the brain network hierarchy and detects localized differences between patient populations. This study used voxel-wise EC mapping (ECM) to analyze individual whole-brain resting-state functional magnetic resonance imaging (MRI) scans in 39 AD patients (age 67 ± 8) and 43 healthy controls (age 69 ± 7). Between-group differences were assessed by a permutation-based method. Associations of EC with biomarkers for AD pathology in cerebrospinal fluid (CSF) and Mini Mental State Examination (MMSE) scores were assessed using Spearman correlation analysis. Decreased EC was found bilaterally in the occipital cortex in AD patients compared to controls. Regions of increased EC were identified in the anterior cingulate and paracingulate gyrus. Across groups, frontal and occipital EC changes were associated with pathological concentrations of CSF biomarkers and with cognition. In controls, decreased EC values in the occipital regions were related to lower MMSE scores. Our main finding is that ECM, a hypothesis-free and computationally efficient analysis method of functional MRI (fMRI) data, identifies changes in brain network organization in AD patients that are related to cognition and underlying AD pathology. The relation between AD-like EC changes and cognitive performance suggests that resting-state fMRI measured EC is a potential marker of disease severity for AD. SN - 1097-0193 UR - https://www.unboundmedicine.com/medline/citation/24039033/Brain_network_alterations_in_Alzheimer's_disease_measured_by_eigenvector_centrality_in_fMRI_are_related_to_cognition_and_CSF_biomarkers_ L2 - https://doi.org/10.1002/hbm.22335 DB - PRIME DP - Unbound Medicine ER -