认知
认知功能衰退
痴呆
帕金森病
默认模式网络
心理学
神经科学
功能磁共振成像
静息状态功能磁共振成像
疾病
听力学
医学
内科学
作者
Eleonora Fiorenzato,Sadaf Moaveninejad,Luca Weis,Roberta Biundo,Angelo Antonini,Camillo Porcaro
摘要
Abstract Background Higuchi's fractal dimension (FD) captures brain dynamics complexity and may be a promising method to analyze resting‐state functional magnetic resonance imaging (fMRI) data and detect the neuronal interaction complexity underlying Parkinson's disease (PD) cognitive decline. Objectives The aim was to compare FD with a more established index of spontaneous neural activity, the fractional amplitude of low‐frequency fluctuations (fALFF), and identify through machine learning (ML) models which method could best distinguish across PD‐cognitive states, ranging from normal cognition (PD‐NC), mild cognitive impairment (PD‐MCI) to dementia (PDD). Finally, the aim was to explore correlations between fALFF and FD with clinical and cognitive PD features. Methods Among 118 PD patients age‐, sex‐, and education matched with 35 healthy controls, 52 were classified with PD‐NC, 46 with PD‐MCI, and 20 with PDD based on an extensive cognitive and clinical evaluation. fALFF and FD metrics were computed on rs‐fMRI data and used to train ML models. Results FD outperformed fALFF metrics in differentiating between PD‐cognitive states, reaching an overall accuracy of 78% (vs. 62%). PD showed increased neuronal dynamics complexity within the sensorimotor network, central executive network (CEN), and default mode network (DMN), paralleled by a reduction in spontaneous neuronal activity within the CEN and DMN, whose increased complexity was strongly linked to the presence of dementia. Further, we found that some DMN critical hubs correlated with worse cognitive performance and disease severity. Conclusions Our study indicates that PD‐cognitive decline is characterized by an altered spontaneous neuronal activity and increased temporal complexity, involving the CEN and DMN, possibly reflecting an increased segregation of these networks. Therefore, we propose FD as a prognostic biomarker of PD‐cognitive decline. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
科研通智能强力驱动
Strongly Powered by AbleSci AI