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; 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

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
Název: CEITEC - central european institute of technology