J 2013

Similar circuits but different connectivity patterns between the cerebellum, Basal Ganglia, and supplementary motor area in early Parkinson's disease patients and controls during predictive motor timing

HUSÁROVÁ, Ivica, Michal MIKL, Ovidiu V. LUNGU, Radek MAREČEK, Jiří VANÍČEK et. al.

Základní údaje

Originální název

Similar circuits but different connectivity patterns between the cerebellum, Basal Ganglia, and supplementary motor area in early Parkinson's disease patients and controls during predictive motor timing

Autoři

HUSÁROVÁ, Ivica (703 Slovensko, domácí), Michal MIKL (203 Česká republika, domácí), Ovidiu V. LUNGU (124 Kanada), Radek MAREČEK (203 Česká republika, domácí), Jiří VANÍČEK (203 Česká republika, domácí) a Martin BAREŠ (203 Česká republika, garant, domácí)

Vydání

Journal of Neuroimaging, Hoboken, USA, WILEY-BLACKWELL, 2013, 1051-2284

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: 1.818

Kód RIV

RIV/00216224:14740/13:00069968

Organizační jednotka

Středoevropský technologický institut

Klíčová slova anglicky

Basal ganglia; Parkinson's disease; cerebellum; connectivity; cortical reorganization; motor timing; prediction; supplementary motor area

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 4. 4. 2014 10:52, Olga Křížová

Anotace

V originále

The cerebellum, basal ganglia (BG), and other cortical regions, such as supplementary motor area (SMA) have emerged as important structures dealing with various aspects of timing, yet the modulation of functional connectivity between them during motor timing tasks remains unexplored. METHODS: We used dynamic causal modeling to investigate the differences in effective connectivity (EC) between these regions and its modulation by behavioral outcome during a motor timing prediction task in a group of 16 patients with early Parkinson's disease (PD) and 17 healthy controls. Behavioral events (hits and errors) constituted the driving input connected to the cerebellum, and the modulation in connectivity was assessed relative to the hit condition (successful interception of target). RESULTS: The driving input elicited response in the target area, while modulatory input changed the specific connection strength. The neuroimaging data revealed similar structure of intrinsic connectivity in both groups with unidirectional connections from cerebellum to both sides of the BG, from BG to the SMA, and then from SMA to the cerebellum. However, the type of intrinsic connection was different between two groups. In the PD group, the connection between the SMA and cerebellum was inhibitory in comparison to the HC group, where the connection was activated. Furthermore, the modulation of connectivity by the performance in the task was different between the two groups, with decreased connectivity between the cerebellum and left BG and SMA and a more pronounced symmetry of these connections in controls. In the same time, there was an increased EC between the cerebellum and both sides of BG with more pronounced asymmetry (stronger connection with left BG) in patients. In addition, in the PD group the modulatory input strengthened inhibitory connectivity between the SMA and the cerebellum, while in the HC group the excitatory connection was slightly strengthened. CONCLUSIONS: Our findings indicate that although early PD subjects and controls use similar functional circuits to maintain a successful outcome in predictive motor timing behavior, the type and strength of EC and its modulation by behavioral performance differ between these two groups. These functional differences might represent the first step of cortical reorganization aimed at maintaining a normal performance in the brain affected by early Parkinson's disease and may have implications for the neuro-rehabilitation field.

Návaznosti

ED1.1.00/02.0068, projekt VaV
Název: CEITEC - central european institute of technology