Related Experiment Video
Updated: Jan 20, 2026

Author Spotlight: Establishing a New Fluorescence-Based Protocol for In Vivo Mitochondrial Morphology Analysis in Parkinson's Disease
Published on: June 23, 2023
CHARACTERIZATION BY FRACTAL DIMENSION ANALYSIS OF THE RETINAL CAPILLARY NETWORK IN PARKINSON DISEASE
Ce Shi1, Yihong Chen1, William Robert Kwapong1
1The Neurology Department, Wenzhou People's Hospital, Wenzhou, Zhejiang, China; and.
Purpose:
To characterize retinal capillary complexity by optical coherence tomography angiography in Parkinson disease.
Method:
Twenty-five Parkinson disease patients and 25 age- and gender-matched healthy controls were recruited. Optical coherence tomography angiography and optical coherence tomography imaged the superficial and deep retinal capillary plexuses and retinal structure. Retinal capillary skeleton density, retinal capillary perfusion density, and fractal dimension analysis of retinal capillary complexity were performed in the total annular zone and quadrant sectors. The thickness of retinal nerve fiber layer, ganglion cell layer and inner plexiform layer, and total retinal thickness were extracted from retinal structural images. Relationships among the retinal capillaries, retinal structure, and clinical parameters were analyzed.
Results:
The superficial retinal capillary plexus in Parkinson disease patients had lower retinal capillary skeleton and perfusion densities and capillary complexity in the total annular zone and all quadrant sectors compared with healthy control subjects. The deep retinal capillary plexus retinal capillary complexity was decreased in the total annular zone and the superior and inferior quadrants. The retinal capillary complexity in the inferior quadrant was negatively correlated with the best-corrected visual acuity and disease duration (r = -0.61, r = -0.43, respectively, both P < 0.05).
Conclusion:
As determined by fractal analysis, retinal capillary complexity can be an objective biomarker in Parkinson disease.
Related Concept Videos
06:07Histological Examination of Mitochondrial Morphology in a Parkinson's Disease Model
06:56Generating a Fractal Microstructure of Laminin-111 to Signal to Cells
10:28Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
03:20Measuring Constipation in a Drosophila Model of Parkinson's Disease
Parkinson's Disease: Treatment
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of...
07:58Methods to Characterize Spontaneous and Startle-induced Locomotion in a Rotenone-induced Parkinson's Disease Model of Drosophila

