J 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 (203 Česká republika, garant, domácí), Roberta BIUNDO (380 Itálie), Radek MAREČEK (203 Česká republika, domácí), Luca WEIS (380 Itálie), Dag AARSLAND (752 Švédsko) a Angelo ANTONINI (380 Itálie)

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

Kód RIV

RIV/00216224:14740/14:00078359

Organizační jednotka

Středoevropský technologický institut

UT WoS

000330244500080

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
Název: CEITEC - central european institute of technology