Speaker:
林素堇 (Sue-Jin Lin), Postdoctoral Researcher, Montreal Neurological Institute, McGill University
林素堇 (Sue-Jin Lin), Postdoctoral Researcher, Montreal Neurological Institute, McGill University
Time:
10/15/2022 12:00 PM PDT
10/15/2022 01:00 PM MDT
10/15/2022 02:00 PM CDT
10/15/2022 03:00 PM EDT
10/15/2022 08:00 PM BST
10/15/2022 09:00 PM CEST
10/16/2022 03:00 AM Taiwan
10/15/2022 12:00 PM PDT
10/15/2022 01:00 PM MDT
10/15/2022 02:00 PM CDT
10/15/2022 03:00 PM EDT
10/15/2022 08:00 PM BST
10/15/2022 09:00 PM CEST
10/16/2022 03:00 AM Taiwan
研究領域 (Field):
Neuroscience
研究子領域 (Sub-field):
Neurology
其他關鍵字 (Supplementary keywords):
Neuroimaging, Precision Medicine, Clinical Cognitive Neuroscience
Neuroscience
研究子領域 (Sub-field):
Neurology
其他關鍵字 (Supplementary keywords):
Neuroimaging, Precision Medicine, Clinical Cognitive Neuroscience
Abstract:
Subthalamotomy using transcranial magnetic resonance-guided focused ultrasound (tcMRgFUS) is a novel and promising treatment for Parkinson’s Disease (PD). In this study, we investigate if baseline brain imaging features can be early predictors of tcMRgFUS-subthalamotomy efficacy, as well as which are post-treatment brain changes associated with the clinical outcomes. Towards this aim, functional and structural neuroimaging and extensive clinical data from thirty-five PD patients enrolled in a double-blind tcMRgFUS-subthalamotomy clinical trial were analysanalyzeded.
Multivariate cross-correlation analysis revealed that the baseline multi-modal imaging data significantly explain (P＜0.005, FWE-corrected) the inter-individual variability in response to treatment. Most predictive features at baseline included neural fluctuations in distributed cortical regions and structural integrity in the putamen and parietal regions. Additionally, a similar multivariate analysis showed that the population variance in clinical improvements is significantly explained (P＜0.001, FWE-corrected) by a distributed network of concurrent functional and structural brain changes in frontotemporal, parietal, occipital, and cerebellar regions, as opposed to local changes in very specific brain regions. Overall, our findings reveal specific quantitative brain signatures highly predictive of tcMRgFUS-subthalamotomy responsiveness in PD. The unanticipated weight of a cortical-subcortical-cerebellar subnetwork in defining clinical outcomes extends the current biological understanding of the mechanisms associated with clinical benefits.
Subthalamotomy using transcranial magnetic resonance-guided focused ultrasound (tcMRgFUS) is a novel and promising treatment for Parkinson’s Disease (PD). In this study, we investigate if baseline brain imaging features can be early predictors of tcMRgFUS-subthalamotomy efficacy, as well as which are post-treatment brain changes associated with the clinical outcomes. Towards this aim, functional and structural neuroimaging and extensive clinical data from thirty-five PD patients enrolled in a double-blind tcMRgFUS-subthalamotomy clinical trial were analysanalyzeded.
Multivariate cross-correlation analysis revealed that the baseline multi-modal imaging data significantly explain (P＜0.005, FWE-corrected) the inter-individual variability in response to treatment. Most predictive features at baseline included neural fluctuations in distributed cortical regions and structural integrity in the putamen and parietal regions. Additionally, a similar multivariate analysis showed that the population variance in clinical improvements is significantly explained (P＜0.001, FWE-corrected) by a distributed network of concurrent functional and structural brain changes in frontotemporal, parietal, occipital, and cerebellar regions, as opposed to local changes in very specific brain regions. Overall, our findings reveal specific quantitative brain signatures highly predictive of tcMRgFUS-subthalamotomy responsiveness in PD. The unanticipated weight of a cortical-subcortical-cerebellar subnetwork in defining clinical outcomes extends the current biological understanding of the mechanisms associated with clinical benefits.
No comments:
Post a Comment