Dataset Information

A more randomly organized grey matter network is associated with deteriorating language and global cognition in individuals with subjective cognitive decline.

ABSTRACT: OBJECTIVES:Grey matter network disruptions in Alzheimer's disease (AD) are associated with worse cognitive impairment cross-sectionally. Our aim was to investigate whether indications of a more random network organization are associated with longitudinal decline in specific cognitive functions in individuals with subjective cognitive decline (SCD). EXPERIMENTAL DESIGN:We included 231 individuals with SCD who had annually repeated neuropsychological assessment (3?±?1 years; n?=?646 neuropsychological investigations) available from the Amsterdam Dementia Cohort (54% male, age: 63?±?9, MMSE: 28?±?2). Single-subject grey matter networks were extracted from baseline 3D-T1 MRI scans and we computed basic network (size, degree, connectivity density) and higher-order (path length, clustering, betweenness centrality, normalized path length [lambda] and normalized clustering [gamma]) parameters at whole brain and/or regional levels. We tested associations of network parameters with baseline and annual cognition (memory, attention, executive functioning, language composite scores, and global cognition [all domains with MMSE]) using linear mixed models, adjusted for age, sex, education, scanner and total gray matter volume. PRINCIPAL OBSERVATIONS:Lower network size was associated with steeper decline in language (??±?SE?=?0.12?±?0.05, p?

SUBMITTER: Verfaillie SCJ

PROVIDER: S-EPMC6055627 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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A more randomly organized grey matter network is associated with deteriorating language and global cognition in individuals with subjective cognitive decline.

Verfaillie Sander C J SCJ Slot Rosalinde E R RER Dicks Ellen E Prins Niels D ND Overbeek Jozefien M JM Teunissen Charlotte E CE Scheltens Philip P Barkhof Frederik F van der Flier Wiesje M WM Tijms Betty M BM

Human brain mapping 20180330 8

<h4>Objectives</h4>Grey matter network disruptions in Alzheimer's disease (AD) are associated with worse cognitive impairment cross-sectionally. Our aim was to investigate whether indications of a more random network organization are associated with longitudinal decline in specific cognitive functions in individuals with subjective cognitive decline (SCD).<h4>Experimental design</h4>We included 231 individuals with SCD who had annually repeated neuropsychological assessment (3 ± 1 years; n = 646 ...[more]

PMID: 29602212

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Project description:Biomarkers are needed to monitor disease progression in Alzheimer's disease. Grey matter network measures have such potential, as they are related to amyloid aggregation in cognitively unimpaired individuals and to future cognitive decline in predementia Alzheimer's disease. Here, we investigated how grey matter network measures evolve over time within individuals across the entire Alzheimer's disease cognitive continuum and whether such changes relate to concurrent decline in cognition. We included 190 cognitively unimpaired, amyloid normal (controls) and 523 individuals with abnormal amyloid across the cognitive continuum (preclinical, prodromal, Alzheimer's disease dementia) from the Alzheimer's Disease Neuroimaging Initiative and calculated single-subject grey matter network measures (median of five networks per individual over 2 years). We fitted linear mixed models to investigate how network measures changed over time and whether such changes were associated with concurrent changes in memory, language, attention/executive functioning and on the Mini-Mental State Examination. We further assessed whether associations were modified by baseline disease stage. We found that both cognitive functioning and network measures declined over time, with steeper rates of decline in more advanced disease stages. In all cognitive stages, decline in network measures was associated with concurrent decline on the Mini-Mental State Examination, with stronger effects for individuals closer to Alzheimer's disease dementia. Decline in network measures was associated with concurrent cognitive decline in different cognitive domains depending on disease stage: In controls, decline in networks was associated with decline in memory and language functioning; preclinical Alzheimer's disease showed associations of decline in networks with memory and attention/executive functioning; prodromal Alzheimer's disease showed associations of decline in networks with cognitive decline in all domains; Alzheimer's disease dementia showed associations of decline in networks with attention/executive functioning. Decline in grey matter network measures over time accelerated for more advanced disease stages and was related to concurrent cognitive decline across the entire Alzheimer's disease cognitive continuum. These associations were disease stage dependent for the different cognitive domains, which reflected the respective cognitive stage. Our findings therefore suggest that grey matter measures are helpful to track disease progression in Alzheimer's disease.

Dataset Information

A more randomly organized grey matter network is associated with deteriorating language and global cognition in individuals with subjective cognitive decline.

Publications

A more randomly organized grey matter network is associated with deteriorating language and global cognition in individuals with subjective cognitive decline.

Similar Datasets

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