Neuroimaging signatures predicting motor improvement to focused ultrasound subthalamotomy in Parkinson’s disease
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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-06-01
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| Series: | npj Parkinson's Disease |
| Online Access: | https://doi.org/10.1038/s41531-022-00332-9 |
| _version_ | 1797641794320596992 |
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| author | Sue-Jin Lin Rafael Rodriguez-Rojas Tobias R. Baumeister Christophe Lenglos Jose A. Pineda-Pardo Jorge U. Máñez-Miró Marta del Alamo Raul Martinez-Fernandez Jose A. Obeso Yasser Iturria-Medina |
| author_facet | Sue-Jin Lin Rafael Rodriguez-Rojas Tobias R. Baumeister Christophe Lenglos Jose A. Pineda-Pardo Jorge U. Máñez-Miró Marta del Alamo Raul Martinez-Fernandez Jose A. Obeso Yasser Iturria-Medina |
| author_sort | Sue-Jin Lin |
| collection | DOAJ |
| description | 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 the 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 analyzed. A multivariate cross-correlation analysis revealed that the baseline multimodal 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 outcome extends the current biological understanding of the mechanisms associated with clinical benefits. |
| first_indexed | 2024-03-11T13:50:50Z |
| format | Article |
| id | doaj.art-057ec89a106e42eeb636307d512a85c6 |
| institution | Directory Open Access Journal |
| issn | 2373-8057 |
| language | English |
| last_indexed | 2024-03-11T13:50:50Z |
| publishDate | 2022-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Parkinson's Disease |
| spelling | doaj.art-057ec89a106e42eeb636307d512a85c62023-11-02T09:00:31ZengNature Portfolionpj Parkinson's Disease2373-80572022-06-01811910.1038/s41531-022-00332-9Neuroimaging signatures predicting motor improvement to focused ultrasound subthalamotomy in Parkinson’s diseaseSue-Jin Lin0Rafael Rodriguez-Rojas1Tobias R. Baumeister2Christophe Lenglos3Jose A. Pineda-Pardo4Jorge U. Máñez-Miró5Marta del Alamo6Raul Martinez-Fernandez7Jose A. Obeso8Yasser Iturria-Medina9Neurology and Neurosurgery Department, Montreal Neurological Institute, McGill UniversityHM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, Mostoles. HM HospitalesNeurology and Neurosurgery Department, Montreal Neurological Institute, McGill UniversityNeurology and Neurosurgery Department, Montreal Neurological Institute, McGill UniversityHM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, Mostoles. HM HospitalesHM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, Mostoles. HM HospitalesHM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, Mostoles. HM HospitalesHM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, Mostoles. HM HospitalesHM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, Mostoles. HM HospitalesNeurology and Neurosurgery Department, Montreal Neurological Institute, McGill UniversityAbstract 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 the 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 analyzed. A multivariate cross-correlation analysis revealed that the baseline multimodal 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 outcome extends the current biological understanding of the mechanisms associated with clinical benefits.https://doi.org/10.1038/s41531-022-00332-9 |
| spellingShingle | Sue-Jin Lin Rafael Rodriguez-Rojas Tobias R. Baumeister Christophe Lenglos Jose A. Pineda-Pardo Jorge U. Máñez-Miró Marta del Alamo Raul Martinez-Fernandez Jose A. Obeso Yasser Iturria-Medina Neuroimaging signatures predicting motor improvement to focused ultrasound subthalamotomy in Parkinson’s disease npj Parkinson's Disease |
| title | Neuroimaging signatures predicting motor improvement to focused ultrasound subthalamotomy in Parkinson’s disease |
| title_full | Neuroimaging signatures predicting motor improvement to focused ultrasound subthalamotomy in Parkinson’s disease |
| title_fullStr | Neuroimaging signatures predicting motor improvement to focused ultrasound subthalamotomy in Parkinson’s disease |
| title_full_unstemmed | Neuroimaging signatures predicting motor improvement to focused ultrasound subthalamotomy in Parkinson’s disease |
| title_short | Neuroimaging signatures predicting motor improvement to focused ultrasound subthalamotomy in Parkinson’s disease |
| title_sort | neuroimaging signatures predicting motor improvement to focused ultrasound subthalamotomy in parkinson s disease |
| url | https://doi.org/10.1038/s41531-022-00332-9 |
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