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 (β±SE=0.12±0.05, p<0.05FDR). Higher-order network parameters showed no cross-sectional associations. Lower gamma and lambda values were associated with steeper decline in global cognition (gamma: β±SE=0.06±0.02); lambda: β±SE=0.06±0.02), language (gamma: β±SE=0.11±0.04; lambda: β±SE=0.12±0.05; all p<0.05FDR). Lower path length values in precuneus and fronto-temporo-occipital cortices were associated with a steeper decline in global cognition. Conclusions: A more randomly organized grey matter network was associated with a steeper decline of cognitive functioning, possibly indicating the start of cognitive impairment.

Original languageEnglish
Pages (from-to)3143-3151
JournalHuman Brain Mapping
Volume39
Issue number8
DOIs
Publication statusPublished - Aug 2018

Cite this

@article{a4daf1c37e7a43068b61e3cb2c2881e8,
title = "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 (β±SE=0.12±0.05, p<0.05FDR). Higher-order network parameters showed no cross-sectional associations. Lower gamma and lambda values were associated with steeper decline in global cognition (gamma: β±SE=0.06±0.02); lambda: β±SE=0.06±0.02), language (gamma: β±SE=0.11±0.04; lambda: β±SE=0.12±0.05; all p<0.05FDR). Lower path length values in precuneus and fronto-temporo-occipital cortices were associated with a steeper decline in global cognition. Conclusions: A more randomly organized grey matter network was associated with a steeper decline of cognitive functioning, possibly indicating the start of cognitive impairment.",
keywords = "Alzheimer's disease, Cognition, Connectivity, Graph theory, Grey matter network, Impairment, Longitudinal, Mild cognitive, MRI, Subjective cognitive decline",
author = "Verfaillie, {Sander C.J.} and Slot, {Rosalinde E.R.} and Ellen Dicks and Prins, {Niels D.} and Overbeek, {Jozefien M.} and Teunissen, {Charlotte E.} and Philip Scheltens and Frederik Barkhof and {van der Flier}, {Wiesje M.} and Tijms, {Betty M.}",
year = "2018",
month = "8",
doi = "10.1002/hbm.24065",
language = "English",
volume = "39",
pages = "3143--3151",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",
number = "8",

}

TY - JOUR

T1 - A more randomly organized grey matter network is associated with deteriorating language and global cognition in individuals with subjective cognitive decline

AU - Verfaillie, Sander C.J.

AU - Slot, Rosalinde E.R.

AU - Dicks, Ellen

AU - Prins, Niels D.

AU - Overbeek, Jozefien M.

AU - Teunissen, Charlotte E.

AU - Scheltens, Philip

AU - Barkhof, Frederik

AU - van der Flier, Wiesje M.

AU - Tijms, Betty M.

PY - 2018/8

Y1 - 2018/8

N2 - 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 (β±SE=0.12±0.05, p<0.05FDR). Higher-order network parameters showed no cross-sectional associations. Lower gamma and lambda values were associated with steeper decline in global cognition (gamma: β±SE=0.06±0.02); lambda: β±SE=0.06±0.02), language (gamma: β±SE=0.11±0.04; lambda: β±SE=0.12±0.05; all p<0.05FDR). Lower path length values in precuneus and fronto-temporo-occipital cortices were associated with a steeper decline in global cognition. Conclusions: A more randomly organized grey matter network was associated with a steeper decline of cognitive functioning, possibly indicating the start of cognitive impairment.

AB - 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 (β±SE=0.12±0.05, p<0.05FDR). Higher-order network parameters showed no cross-sectional associations. Lower gamma and lambda values were associated with steeper decline in global cognition (gamma: β±SE=0.06±0.02); lambda: β±SE=0.06±0.02), language (gamma: β±SE=0.11±0.04; lambda: β±SE=0.12±0.05; all p<0.05FDR). Lower path length values in precuneus and fronto-temporo-occipital cortices were associated with a steeper decline in global cognition. Conclusions: A more randomly organized grey matter network was associated with a steeper decline of cognitive functioning, possibly indicating the start of cognitive impairment.

KW - Alzheimer's disease

KW - Cognition

KW - Connectivity

KW - Graph theory

KW - Grey matter network

KW - Impairment

KW - Longitudinal

KW - Mild cognitive

KW - MRI

KW - Subjective cognitive decline

UR - http://www.scopus.com/inward/record.url?scp=85044572861&partnerID=8YFLogxK

U2 - 10.1002/hbm.24065

DO - 10.1002/hbm.24065

M3 - Article

VL - 39

SP - 3143

EP - 3151

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 8

ER -