title: Brain network alterations in Alzheimer's disease measured by eigenvector centrality in fMRI are related to cognition and CSF biomarkers.
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.affiliation: Department of Radiology and Nuclear Medicine, VU University Medical Center and Neuroscience Campus Amsterdam, The Netherlands.
authors.forename: Maja A A
authors.initials: MA
authors.lastname: Binnewijzend
authors.forename: Sofie M
authors.initials: SM
authors.lastname: Adriaanse
authors.forename: Wiesje M
authors.initials: WM
authors.lastname: Van der Flier
authors.forename: Charlotte E
authors.initials: CE
authors.lastname: Teunissen
authors.forename: Jan C
authors.initials: JC
authors.lastname: de Munck
authors.forename: Cornelis J
authors.initials: CJ
authors.lastname: Stam
authors.forename: Philip
authors.initials: P
authors.lastname: Scheltens
authors.forename: Bart N M
authors.initials: BN
authors.lastname: van Berckel
authors.forename: Frederik
authors.initials: F
authors.lastname: Barkhof
authors.forename: Alle Meije
authors.initials: AM
authors.lastname: Wink
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000544:Alzheimer Disease / Q000134:cerebrospinal fluid / Q000150:complications / Q000473:pathology; D016229:Amyloid beta-Peptides / Q000134:cerebrospinal fluid; D015415:Biomarkers / Q000134:cerebrospinal fluid*; D001921:Brain / Q000098:blood supply / Q000473:pathology*; D001931:Brain Mapping; D003072:Cognition Disorders / Q000209:etiology*; D016207:Cytokines / Q000134:cerebrospinal fluid; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009434:Neural Pathways / Q000098:blood supply / Q000473:pathology*; D010100:Oxygen / Q000097:blood; D010446:Peptide Fragments / Q000134:cerebrospinal fluid
chemical_list: D016229:Amyloid beta-Peptides; D015415:Biomarkers; D016207:Cytokines; D010446:Peptide Fragments; C075222:amyloid beta-protein (1-42); D010100:Oxygen
keywords: Alzheimer's disease; amyloid-beta; cognition; functional connectivity; resting-state fMRI
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