Patterns of Grey Matter Atrophy at Different Stages of
Parkinson's and Alzheimer's Diseases and Relation to Cognition

J 2019

Patterns of Grey Matter Atrophy at Different Stages of Parkinson's and Alzheimer's Diseases and Relation to Cognition

KUNST, Jonáš, Radek MAREČEK, Patrícia KLOBUŠIAKOVÁ, Zuzana BALÁŽOVÁ, Ľubomíra ANDERKOVÁ et. al.

Basic information

Original name

Patterns of Grey Matter Atrophy at Different Stages of Parkinson's and Alzheimer's Diseases and Relation to Cognition

Authors

KUNST, Jonáš (203 Czech Republic, belonging to the institution), Radek MAREČEK (203 Czech Republic, belonging to the institution), Patrícia KLOBUŠIAKOVÁ (703 Slovakia, belonging to the institution), Zuzana BALÁŽOVÁ (703 Slovakia, belonging to the institution), Ľubomíra ANDERKOVÁ (703 Slovakia, belonging to the institution), Nela NĚMCOVÁ ELFMARKOVÁ (203 Czech Republic, belonging to the institution) and Irena REKTOROVÁ (203 Czech Republic, guarantor, belonging to the institution)

Edition

BRAIN TOPOGRAPHY, DORDRECHT, SPRINGER, 2019, 0896-0267

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30210 Clinical neurology

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 2.759

RIV identification code

RIV/00216224:14740/19:00108464

Organization unit

Central European Institute of Technology

DOI

http://dx.doi.org/10.1007/s10548-018-0675-2

UT WoS

000455363300011

Keywords in English

Parkinson's disease; Alzheimer's disease; Mild cognitive impairment; Voxel-based morphometry; Source-based morphometry; Cortical thickness

Abstract

V originále

Using MRI, a characteristic pattern of grey matter (GM) atrophy has been described in the early stages of Alzheimer's disease (AD); GM patterns at different stages of Parkinson's disease (PD) have been inconclusive. Few studies have directly compared structural changes in groups with mild cognitive impairment (MCI) caused by different pathologies (AD, PD). We used several analytical methods to determine GM changes at different stages of both PD and AD. We also evaluated associations between GM changes and cognitive measurements. Altogether 144 subjects were evaluated: PD with normal cognition (PD-NC; n=23), PD with MCI (PD-MCI; n=24), amnestic MCI (aMCI; n=27), AD (n=12), and age-matched healthy controls (HC; n=58). All subjects underwent structural MRI and cognitive examination. GM volumes were analysed using two different techniques: voxel-based morphometry (VBM) and source-based morphometry (SBM), which is a multivariate method. In addition, cortical thickness (CT) was evaluated to assess between-group differences in GM. The cognitive domain z-scores were correlated with GM changes in individual patient groups. GM atrophy in the anterior and posterior cingulate, as measured by VBM, in the temporo-fronto-parietal component, as measured by SBM, and in the posterior cortical regions as well as in the anterior cingulate and frontal region, as measured by CT, differentiated aMCI from HC. Major hippocampal and temporal lobe atrophy (VBM, SBM) and to some extent occipital atrophy (SBM) differentiated AD from aMCI and from HC. Correlations with cognitive deficits were present only in the AD group. PD-MCI showed greater GM atrophy than PD-NC in the orbitofrontal regions (VBM), which was related to memory z-scores, and in the left superior parietal lobule (CT); more widespread limbic and fronto-parieto-occipital neocortical atrophy (all methods) differentiated this group from HC. Only CT revealed subtle GM atrophy in the anterior cingulate, precuneus, and temporal neocortex in PD-NC as compared to HC. None of the methods differentiated PD-MCI from aMCI. Both MCI groups showed distinct limbic and fronto-temporo-parietal neocortical atrophy compared to HC with no specific between-group differences. AD subjects displayed a typical pattern of major temporal lobe atrophy which was associated with deficits in all cognitive domains. VBM and CT were more sensitive than SBM in identifying frontal and posterior cortical atrophy in PD-MCI as compared to PD-NC. Our data support the notion that the results of studies using different analytical methods cannot be compared directly. Only CT measures revealed some subtle differences between HC and PD-NC.

Links

NV15-33854A, research and development project

Name: Efekt intenzivní tanečně-pohybové intervence na kognitivní funkce a změny mozkové plasticity zdravých seniorů a pacientů s mírnou kognitivní poruchou

90062, large research infrastructures

Name: Czech-BioImaging

Citovat

KUNST, Jonáš, Radek MAREČEK, Patrícia KLOBUŠIAKOVÁ, Zuzana BALÁŽOVÁ, Ľubomíra ANDERKOVÁ, Nela NĚMCOVÁ ELFMARKOVÁ and Irena REKTOROVÁ. Patterns of Grey Matter Atrophy at Different Stages of Parkinson's and Alzheimer's Diseases and Relation to Cognition. BRAIN TOPOGRAPHY. DORDRECHT: SPRINGER, 2019, vol. 32, No 1, p. 142-160. ISSN 0896-0267. Available from: https://dx.doi.org/10.1007/s10548-018-0675-2.

@article{1527158,
   author = {Kunst, Jonáš and Mareček, Radek and Klobušiaková, Patrícia and Balážová, Zuzana and Anderková, Ľubomíra and Němcová Elfmarková, Nela and Rektorová, Irena},
   article_location = {DORDRECHT},
   article_number = {1},
   doi = {http://dx.doi.org/10.1007/s10548-018-0675-2},
   keywords = {Parkinson's disease; Alzheimer's disease; Mild cognitive impairment; Voxel-based morphometry; Source-based morphometry; Cortical thickness},
   language = {eng},
   issn = {0896-0267},
   journal = {BRAIN TOPOGRAPHY},
   title = {Patterns of Grey Matter Atrophy at Different Stages of Parkinson's and Alzheimer's Diseases and Relation to Cognition},
   url = {http://dx.doi.org/10.1007/s10548-018-0675-2},
   volume = {32},
   year = {2019}
}

TY  - JOUR
ID  - 1527158
AU  - Kunst, Jonáš - Mareček, Radek - Klobušiaková, Patrícia - Balážová, Zuzana - Anderková, Ľubomíra - Němcová Elfmarková, Nela - Rektorová, Irena
PY  - 2019
TI  - Patterns of Grey Matter Atrophy at Different Stages of Parkinson's and Alzheimer's Diseases and Relation to Cognition
JF  - BRAIN TOPOGRAPHY
VL  - 32
IS  - 1
SP  - 142-160
EP  - 142-160
PB  - SPRINGER
SN  - 08960267
KW  - Parkinson's disease
KW  - Alzheimer's disease
KW  - Mild cognitive impairment
KW  - Voxel-based morphometry
KW  - Source-based morphometry
KW  - Cortical thickness
UR  - http://dx.doi.org/10.1007/s10548-018-0675-2
L2  - http://dx.doi.org/10.1007/s10548-018-0675-2
N2  - Using MRI, a characteristic pattern of grey matter (GM) atrophy has been described in the early stages of Alzheimer's disease (AD); GM patterns at different stages of Parkinson's disease (PD) have been inconclusive. Few studies have directly compared structural changes in groups with mild cognitive impairment (MCI) caused by different pathologies (AD, PD). We used several analytical methods to determine GM changes at different stages of both PD and AD. We also evaluated associations between GM changes and cognitive measurements. Altogether 144 subjects were evaluated: PD with normal cognition (PD-NC; n=23), PD with MCI (PD-MCI; n=24), amnestic MCI (aMCI; n=27), AD (n=12), and age-matched healthy controls (HC; n=58). All subjects underwent structural MRI and cognitive examination. GM volumes were analysed using two different techniques: voxel-based morphometry (VBM) and source-based morphometry (SBM), which is a multivariate method. In addition, cortical thickness (CT) was evaluated to assess between-group differences in GM. The cognitive domain z-scores were correlated with GM changes in individual patient groups. GM atrophy in the anterior and posterior cingulate, as measured by VBM, in the temporo-fronto-parietal component, as measured by SBM, and in the posterior cortical regions as well as in the anterior cingulate and frontal region, as measured by CT, differentiated aMCI from HC. Major hippocampal and temporal lobe atrophy (VBM, SBM) and to some extent occipital atrophy (SBM) differentiated AD from aMCI and from HC. Correlations with cognitive deficits were present only in the AD group. PD-MCI showed greater GM atrophy than PD-NC in the orbitofrontal regions (VBM), which was related to memory z-scores, and in the left superior parietal lobule (CT); more widespread limbic and fronto-parieto-occipital neocortical atrophy (all methods) differentiated this group from HC. Only CT revealed subtle GM atrophy in the anterior cingulate, precuneus, and temporal neocortex in PD-NC as compared to HC. None of the methods differentiated PD-MCI from aMCI. Both MCI groups showed distinct limbic and fronto-temporo-parietal neocortical atrophy compared to HC with no specific between-group differences. AD subjects displayed a typical pattern of major temporal lobe atrophy which was associated with deficits in all cognitive domains. VBM and CT were more sensitive than SBM in identifying frontal and posterior cortical atrophy in PD-MCI as compared to PD-NC. Our data support the notion that the results of studies using different analytical methods cannot be compared directly. Only CT measures revealed some subtle differences between HC and PD-NC.
ER  -

KUNST, Jonáš, Radek MAREČEK, Patrícia KLOBUŠIAKOVÁ, Zuzana BALÁŽOVÁ, Ľubomíra ANDERKOVÁ, Nela NĚMCOVÁ ELFMARKOVÁ and Irena REKTOROVÁ. Patterns of Grey Matter Atrophy at Different Stages of Parkinson's and Alzheimer's Diseases and Relation to Cognition. \textit{BRAIN TOPOGRAPHY}. DORDRECHT: SPRINGER, 2019, vol.~32, No~1, p.~142-160. ISSN~0896-0267. Available from: https://dx.doi.org/10.1007/s10548-018-0675-2.

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