Jakub Surkont1, Stephen Joza1, Richard Camicioli1, W R Wayne Martin2, Marguerite Wieler3, Fang Ba4. 1. Division of Neurology, Department of Medicine, University of Alberta, Canada. 2. Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Canada. 3. Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Canada. 4. Division of Neurology, Department of Medicine, University of Alberta, Canada. Electronic address: fb@ualberta.ca.
Abstract
BACKGROUND: Gait impairments are common in Parkinson's Disease (PD) and are likely caused by degeneration in multiple brain circuits, including the basal ganglia, thalamus and mesencephalic locomotion centers (MLC). Diffusion tensor imaging (DTI) assesses fractional anisotropy (FA) and mean diffusivity (MD) that reflect the integrity of neuronal microstructure. We hypothesized that DTI changes in motor circuits correlate with gait changes in PD. OBJECTIVE: We aimed to identify microstructural changes of brain locomotion control centers in PD via DTI and their correlations with clinical and quantitative measures of gait. METHODS: Twenty-one PD patients reporting gait impairment and 15 controls were recruited. Quantitative gait and clinical tests were recorded in PD subjects' medication ON and OFF states. Region of Interest (ROI) analysis of the thalamus, basal ganglia and MLC was performed using ExploreDTI. Correlations between FA/MD with clinical gait parameters were examined. RESULTS: Microstructural changes were seen in the thalamus, caudate and MLC in the PD compared to the control group. Thalamic microstructural changes significantly correlated with gait parameters in the pace domain including the Timed Up and Go in the ON state. Caudate changes correlated with cadence and stride time in the OFF state. CONCLUSIONS: Our pilot study suggests that PD is associated with a characteristic regional pattern of microstructural degradation in the thalamus, caudate and MLC. The DTI changes may represent subcortical locomotion network failure. Overall, DTI ROI analyses might provide a useful tool for assessing PD for functional status and specific motor domains, such as gait, and potentially could serve as an imaging marker.
BACKGROUND: Gait impairments are common in Parkinson's Disease (PD) and are likely caused by degeneration in multiple brain circuits, including the basal ganglia, thalamus and mesencephalic locomotion centers (MLC). Diffusion tensor imaging (DTI) assesses fractional anisotropy (FA) and mean diffusivity (MD) that reflect the integrity of neuronal microstructure. We hypothesized that DTI changes in motor circuits correlate with gait changes in PD. OBJECTIVE: We aimed to identify microstructural changes of brain locomotion control centers in PD via DTI and their correlations with clinical and quantitative measures of gait. METHODS: Twenty-one PD patients reporting gait impairment and 15 controls were recruited. Quantitative gait and clinical tests were recorded in PD subjects' medication ON and OFF states. Region of Interest (ROI) analysis of the thalamus, basal ganglia and MLC was performed using ExploreDTI. Correlations between FA/MD with clinical gait parameters were examined. RESULTS: Microstructural changes were seen in the thalamus, caudate and MLC in the PD compared to the control group. Thalamic microstructural changes significantly correlated with gait parameters in the pace domain including the Timed Up and Go in the ON state. Caudate changes correlated with cadence and stride time in the OFF state. CONCLUSIONS: Our pilot study suggests that PD is associated with a characteristic regional pattern of microstructural degradation in the thalamus, caudate and MLC. The DTI changes may represent subcortical locomotion network failure. Overall, DTI ROI analyses might provide a useful tool for assessing PD for functional status and specific motor domains, such as gait, and potentially could serve as an imaging marker.
Authors: Jiayue Cai; Aiping Liu; Yuheng Wang; Sun Nee Tan; Taylor Chomiak; Jacqueline Burt; Richard Camicioli; Bin Hu; Martin J McKeown; Fang Ba Journal: Front Neurosci Date: 2022-08-09 Impact factor: 5.152
Authors: Stephen Joza; Richard Camicioli; W R Wayne Martin; Marguerite Wieler; Myrlene Gee; Fang Ba Journal: Front Aging Neurosci Date: 2022-07-08 Impact factor: 5.702