Abstract

Gray matter networks are disrupted in Alzheimer's disease and related to cognitive impairment. However, it is still unclear whether these disruptions are associated with cognitive decline over time. Here, we studied this question in a large sample of patients with mild cognitive impairment with extensive longitudinal neuropsychological assessments. Gray matter networks were extracted from baseline structural magnetic resonance imaging, and we tested associations of network measures and cognitive decline in Mini–Mental State Examination and 5 cognitive domains (i.e., memory, attention, executive function, visuospatial, and language). Disrupted network properties were cross-sectionally related to worse cognitive impairment. Longitudinally, lower small-world coefficient values were associated with a steeper decline in almost all domains. Lower betweenness centrality values correlated with a faster decline in Mini–Mental State Examination and memory, and at a regional level, these associations were specific for the precuneus, medial frontal, and temporal cortex. Furthermore, network measures showed additive value over established biomarkers in predicting cognitive decline. Our results suggest that gray matter network measures might have use in identifying patients who will show fast disease progression.

Original languageEnglish
Pages (from-to)198-206
Number of pages9
JournalNeurobiology of Aging
Volume61
DOIs
Publication statusPublished - 1 Jan 2018

Cite this

@article{f8af38bc235e4cf08fbc2d282be6d1e8,
title = "Gray matter network measures are associated with cognitive decline in mild cognitive impairment",
abstract = "Gray matter networks are disrupted in Alzheimer's disease and related to cognitive impairment. However, it is still unclear whether these disruptions are associated with cognitive decline over time. Here, we studied this question in a large sample of patients with mild cognitive impairment with extensive longitudinal neuropsychological assessments. Gray matter networks were extracted from baseline structural magnetic resonance imaging, and we tested associations of network measures and cognitive decline in Mini–Mental State Examination and 5 cognitive domains (i.e., memory, attention, executive function, visuospatial, and language). Disrupted network properties were cross-sectionally related to worse cognitive impairment. Longitudinally, lower small-world coefficient values were associated with a steeper decline in almost all domains. Lower betweenness centrality values correlated with a faster decline in Mini–Mental State Examination and memory, and at a regional level, these associations were specific for the precuneus, medial frontal, and temporal cortex. Furthermore, network measures showed additive value over established biomarkers in predicting cognitive decline. Our results suggest that gray matter network measures might have use in identifying patients who will show fast disease progression.",
keywords = "Aged, Alzheimer Disease/diagnosis, Cognitive Dysfunction/diagnosis, Female, Gray Matter/diagnostic imaging, Humans, Magnetic Resonance Imaging, Male, Memory, Mental Status and Dementia Tests, Middle Aged",
author = "Ellen Dicks and Tijms, {Betty M.} and {ten Kate}, Mara and Gouw, {Alida A.} and Benedictus, {Marije R.} and Teunissen, {Charlotte E.} and Frederik Barkhof and Philip Scheltens and {van der Flier}, {Wiesje M.}",
note = "Copyright {\circledC} 2017 Elsevier Inc. All rights reserved.",
year = "2018",
month = "1",
day = "1",
doi = "10.1016/j.neurobiolaging.2017.09.029",
language = "English",
volume = "61",
pages = "198--206",
journal = "Neurobiology of Aging",
issn = "0197-4580",
publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Gray matter network measures are associated with cognitive decline in mild cognitive impairment

AU - Dicks, Ellen

AU - Tijms, Betty M.

AU - ten Kate, Mara

AU - Gouw, Alida A.

AU - Benedictus, Marije R.

AU - Teunissen, Charlotte E.

AU - Barkhof, Frederik

AU - Scheltens, Philip

AU - van der Flier, Wiesje M.

N1 - Copyright © 2017 Elsevier Inc. All rights reserved.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Gray matter networks are disrupted in Alzheimer's disease and related to cognitive impairment. However, it is still unclear whether these disruptions are associated with cognitive decline over time. Here, we studied this question in a large sample of patients with mild cognitive impairment with extensive longitudinal neuropsychological assessments. Gray matter networks were extracted from baseline structural magnetic resonance imaging, and we tested associations of network measures and cognitive decline in Mini–Mental State Examination and 5 cognitive domains (i.e., memory, attention, executive function, visuospatial, and language). Disrupted network properties were cross-sectionally related to worse cognitive impairment. Longitudinally, lower small-world coefficient values were associated with a steeper decline in almost all domains. Lower betweenness centrality values correlated with a faster decline in Mini–Mental State Examination and memory, and at a regional level, these associations were specific for the precuneus, medial frontal, and temporal cortex. Furthermore, network measures showed additive value over established biomarkers in predicting cognitive decline. Our results suggest that gray matter network measures might have use in identifying patients who will show fast disease progression.

AB - Gray matter networks are disrupted in Alzheimer's disease and related to cognitive impairment. However, it is still unclear whether these disruptions are associated with cognitive decline over time. Here, we studied this question in a large sample of patients with mild cognitive impairment with extensive longitudinal neuropsychological assessments. Gray matter networks were extracted from baseline structural magnetic resonance imaging, and we tested associations of network measures and cognitive decline in Mini–Mental State Examination and 5 cognitive domains (i.e., memory, attention, executive function, visuospatial, and language). Disrupted network properties were cross-sectionally related to worse cognitive impairment. Longitudinally, lower small-world coefficient values were associated with a steeper decline in almost all domains. Lower betweenness centrality values correlated with a faster decline in Mini–Mental State Examination and memory, and at a regional level, these associations were specific for the precuneus, medial frontal, and temporal cortex. Furthermore, network measures showed additive value over established biomarkers in predicting cognitive decline. Our results suggest that gray matter network measures might have use in identifying patients who will show fast disease progression.

KW - Aged

KW - Alzheimer Disease/diagnosis

KW - Cognitive Dysfunction/diagnosis

KW - Female

KW - Gray Matter/diagnostic imaging

KW - Humans

KW - Magnetic Resonance Imaging

KW - Male

KW - Memory

KW - Mental Status and Dementia Tests

KW - Middle Aged

UR - http://www.scopus.com/inward/record.url?scp=85032299329&partnerID=8YFLogxK

U2 - 10.1016/j.neurobiolaging.2017.09.029

DO - 10.1016/j.neurobiolaging.2017.09.029

M3 - Article

VL - 61

SP - 198

EP - 206

JO - Neurobiology of Aging

JF - Neurobiology of Aging

SN - 0197-4580

ER -