Motor networks, but also non-motor networks predict motor signs in Parkinson's disease.
Neuroimage Clin
; 40: 103541, 2023.
Article
in En
| MEDLINE
| ID: mdl-37972450
ABSTRACT
OBJECTIVE:
Investigate the brain functional networks associated with motor impairment in people with Parkinson's disease (PD).BACKGROUND:
PD is primarily characterized by motor dysfunction. Resting-state functional connectivity (RsFC) offers a unique opportunity to non-invasively characterize brain function. In this study, we hypothesized that the motor dysfunction observed in people with PD involves atypical connectivity not only in motor but also in higher-level attention networks. Understanding the interaction between motor and non-motor RsFC that are related to the motor signs could provide insights into PD pathophysiology.METHODS:
We used data from 88 people with PD (mean age 68.2(SD10), 55 M/33F) coming from 2 cohorts. Motor severity was assessed in practical OFF-medication state, using MDS-UPDRS Part-III motor scores (mean 49 (SD10)). RsFC was characterized using an atlas of 384 regions that were grouped into 13 functional networks. Associations between RsFC and motor severity were assessed independently for each RsFC using predictive modeling.RESULTS:
The top 5 % models that predicted the MDS-UPDRS-III motor scores with effect size >0.5 were the connectivity between (1) the somatomotor and Subcortical-Basal-ganglia, (2) somatomotor and Visual and (3) CinguloOpercular (CiO) and language/Ventral attention (Lan/VeA) network pairs.DISCUSSION:
Our findings suggest that, along with motor networks, visual- and attention-related cortical networks are also associated with the motor symptoms of PD. Non-motor networks may be involved indirectly in motor-coordination. When people with PD have deficits in motor networks, more attention may be needed to carry out formerly automatic motor functions, consistent with compensatory mechanisms in parkinsonian movement disorders.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Parkinson Disease
Limits:
Aged
/
Humans
Language:
En
Journal:
Neuroimage Clin
Year:
2023
Document type:
Article
Affiliation country:
Estados Unidos