2014
Grey Matter Changes in Cognitively Impaired Parkinson's Disease Patients
REKTOROVÁ, Irena; Roberta BIUNDO; Radek MAREČEK; Luca WEIS; Dag AARSLAND et al.Základní údaje
Originální název
Grey Matter Changes in Cognitively Impaired Parkinson's Disease Patients
Autoři
REKTOROVÁ, Irena; Roberta BIUNDO; Radek MAREČEK; Luca WEIS; Dag AARSLAND a Angelo ANTONINI
Vydání
Plos one, SAN FRANCISCO, PUBLIC LIBRARY SCIENCE, 2014, 1932-6203
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30000 3. Medical and Health Sciences
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 3.234
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14740/14:00078359
Organizační jednotka
Středoevropský technologický institut
UT WoS
EID Scopus
Klíčová slova anglicky
FRONTAL ASSESSMENT BATTERY; ITALIAN POPULATION-SAMPLE; SOURCE-BASED MORPHOMETRY; DEFAULT MODE NETWORK; DIAGNOSTIC-CRITERIA; ALZHEIMERS-DISEASE; NORMATIVE VALUES; CEREBRAL ATROPHY; LEWY BODIES; DEMENTIA
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 12. 3. 2015 07:12, Martina Prášilová
Anotace
V originále
Background: Cortical changes associated with cognitive decline in Parkinson's disease (PD) are not fully explored and require investigations with established diagnostic classification criteria. Objective: We used MRI source-based morphometry to evaluate specific differences in grey matter volume patterns across 4 groups of subjects: healthy controls (HC), PD with normal cognition (PD-NC), PD with mild cognitive impairment (MCI-PD) and PD with dementia (PDD). Methods: We examined 151 consecutive subjects: 25 HC, 75 PD-NC, 29 MCI-PD, and 22 PDD at an Italian and Czech movement disorder centre. Operational diagnostic criteria were applied to classify MCI-PD and PDD. All structural MRI images were processed together in the Czech centre. The spatial independent component analysis was used to assess group differences of local grey matter volume. Results: We identified two independent patterns of grey matter volume deviations: a) Reductions in the hippocampus and temporal lobes; b) Decreases in fronto-parietal regions and increases in the midbrain/cerebellum. Both patterns differentiated PDD from all other groups and correlated with visuospatial deficits and letter verbal fluency, respectively. Only the second pattern additionally differentiated PD-NC from HC. Conclusion: Grey matter changes in PDD involve areas associated with Alzheimer-like pathology while fronto-parietal abnormalities are possibly an early marker of PD cognitive decline. These findings are consistent with a non-linear cognitive progression in PD.
Návaznosti
| ED1.1.00/02.0068, projekt VaV |
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