Pleased to share a new study on predictors of long-term motor learning in Parkinson's disease.
Sensorimotor Network Segregation Predicts Long-Term Learning of Writing Skills in Parkinson’s Disease https://t.co/IM35azh4RC #mdpibrainsci via @BrainSci_MDPI
Notably, baseline writing performance, female sex-at-birth (likely language task-related) and sensorimotor network segregation were retained in a multivariable prediction model, showing that combining clinical and neural measures improves prediction of motor learning potential.
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@willyoungexeter@MoranGilat@Yr_Russo @phae_leveridge @JiaxiYe1 @WZJING1 @ParkinsonsUK We tend to do these individually and only deliberate if the rater finds it hard to make a clear judgement. Haven't given the structure of discussion much thought, but the process you use could be helpful to better capture the variance, and give voice to other perspectives
@MichaelOkun Don't give the physio a pass, pass your concerns to the physio! Many of these are known risks and side effects of exercise, others are related to comorbidity and medication interactions. Require appropriate screening and communication in a multidisciplinary team to manage well.
@rabdo1@MichaelOkun Nice insights! The difference between unadjusted and adjusted ORs seems crucial here - overfitting, or if additionally controlling for other known PD risk factors such as smoking status, the relative importance of this marker increases. Could mean non-overlapping mechanisms.