Emerging neuroimaging biomarkers across disease stage in Parkinson disease: a review

T Mitchell, S Lehéricy, SY Chiu, AP Strafella… - JAMA …, 2021 - jamanetwork.com
Importance Imaging biomarkers in Parkinson disease (PD) are increasingly important for
monitoring progression in clinical trials and also have the potential to improve clinical care …

Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson's disease

J Zhang - npj Parkinson's Disease, 2022 - nature.com
Parkinson's disease (PD) is a common, progressive, and currently incurable
neurodegenerative movement disorder. The diagnosis of PD is challenging, especially in …

Aerobic exercise alters brain function and structure in Parkinson's disease: a randomized controlled trial

ME Johansson, IGM Cameron… - Annals of …, 2022 - Wiley Online Library
Objective Randomized clinical trials have shown that aerobic exercise attenuates motor
symptom progression in Parkinson's disease, but the underlying neural mechanisms are …

Progression of grey and white matter brain damage in Parkinson's disease: a critical review of structural MRI literature

E Sarasso, F Agosta, N Piramide, M Filippi - Journal of neurology, 2021 - Springer
The current review summarizes the current knowledge on longitudinal cortical and
subcortical grey and white matter MRI findings assessed using T1-weighted and one-tensor …

Complex networks reveal early MRI markers of Parkinson's disease

N Amoroso, M La Rocca, A Monaco, R Bellotti… - Medical image …, 2018 - Elsevier
Parkinson's disease (PD) is the most common neurological disorder, after Alzheimer's
disease, and is characterized by a long prodromal stage lasting up to 20 years. As age is a …

Dopamine selectively remediates 'model-based'reward learning: a computational approach

ME Sharp, K Foerde, ND Daw, D Shohamy - Brain, 2016 - academic.oup.com
Patients with loss of dopamine due to Parkinson's disease are impaired at learning from
reward. However, it remains unknown precisely which aspect of learning is impaired. In …

Longitudinal patterns of leukoaraiosis and brain atrophy in symptomatic small vessel disease

C Lambert, P Benjamin, E Zeestraten, AJ Lawrence… - Brain, 2016 - academic.oup.com
Cerebral small vessel disease is a common condition associated with lacunar stroke,
cognitive impairment and significant functional morbidity. White matter hyperintensities and …

MNC-Net: Multi-task graph structure learning based on node clustering for early Parkinson's disease diagnosis

L Huang, X Ye, M Yang, L Pan, S hua Zheng - Computers in Biology and …, 2023 - Elsevier
Purpose: The identification of early-stage Parkinson's disease (PD) is important for the
effective management of patients, affecting their treatment and prognosis. Recently …

Basal ganglia atrophy–associated causal structural network degeneration in Parkinson's disease

R Li, T Zou, X Wang, H Wang, X Hu, F Xie… - Human brain …, 2022 - Wiley Online Library
Parkinson's disease (PD) is a progressive neurodegenerative disease characterized by both
motor and non‐motor symptoms. A convergent pathophysiological hallmark of PD is an early …

How should we be using biomarkers in trials of disease modification in Parkinson's disease?

N Vijiaratnam, T Foltynie - Brain, 2023 - academic.oup.com
The recent validation of the α-synuclein seed amplification assay as a biomarker with high
sensitivity and specificity for the diagnosis of Parkinson's disease has formed the backbone …