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SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform
Multimodal neuroimaging data of various brain disorders provides valuable information to understand brain function in health and disease. Various neuroimaging-based databases have been developed that mainly consist of volumetric magnetic resonance imaging (MRI) data. We present the comprehensive web...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582723/ https://www.ncbi.nlm.nih.gov/pubmed/37859652 http://dx.doi.org/10.3389/fneur.2023.1258116 |
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author | Mandal, Pravat K. Jindal, Komal Roy, Saurav Arora, Yashika Sharma, Shallu Joon, Shallu Goel, Anshika Ahasan, Zoheb Maroon, Joseph C. Singh, Kuldeep Sandal, Kanika Tripathi, Manjari Sharma, Pooja Samkaria, Avantika Gaur, Shradha Shandilya, Sandhya |
author_facet | Mandal, Pravat K. Jindal, Komal Roy, Saurav Arora, Yashika Sharma, Shallu Joon, Shallu Goel, Anshika Ahasan, Zoheb Maroon, Joseph C. Singh, Kuldeep Sandal, Kanika Tripathi, Manjari Sharma, Pooja Samkaria, Avantika Gaur, Shradha Shandilya, Sandhya |
author_sort | Mandal, Pravat K. |
collection | PubMed |
description | Multimodal neuroimaging data of various brain disorders provides valuable information to understand brain function in health and disease. Various neuroimaging-based databases have been developed that mainly consist of volumetric magnetic resonance imaging (MRI) data. We present the comprehensive web-based neuroimaging platform “SWADESH” for hosting multi-disease, multimodal neuroimaging, and neuropsychological data along with analytical pipelines. This novel initiative includes neurochemical and magnetic susceptibility data for healthy and diseased conditions, acquired using MR spectroscopy (MRS) and quantitative susceptibility mapping (QSM) respectively. The SWADESH architecture also provides a neuroimaging database which includes MRI, MRS, functional MRI (fMRI), diffusion weighted imaging (DWI), QSM, neuropsychological data and associated data analysis pipelines. Our final objective is to provide a master database of major brain disease states (neurodegenerative, neuropsychiatric, neurodevelopmental, and others) and to identify characteristic features and biomarkers associated with such disorders. |
format | Online Article Text |
id | pubmed-10582723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105827232023-10-19 SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform Mandal, Pravat K. Jindal, Komal Roy, Saurav Arora, Yashika Sharma, Shallu Joon, Shallu Goel, Anshika Ahasan, Zoheb Maroon, Joseph C. Singh, Kuldeep Sandal, Kanika Tripathi, Manjari Sharma, Pooja Samkaria, Avantika Gaur, Shradha Shandilya, Sandhya Front Neurol Neurology Multimodal neuroimaging data of various brain disorders provides valuable information to understand brain function in health and disease. Various neuroimaging-based databases have been developed that mainly consist of volumetric magnetic resonance imaging (MRI) data. We present the comprehensive web-based neuroimaging platform “SWADESH” for hosting multi-disease, multimodal neuroimaging, and neuropsychological data along with analytical pipelines. This novel initiative includes neurochemical and magnetic susceptibility data for healthy and diseased conditions, acquired using MR spectroscopy (MRS) and quantitative susceptibility mapping (QSM) respectively. The SWADESH architecture also provides a neuroimaging database which includes MRI, MRS, functional MRI (fMRI), diffusion weighted imaging (DWI), QSM, neuropsychological data and associated data analysis pipelines. Our final objective is to provide a master database of major brain disease states (neurodegenerative, neuropsychiatric, neurodevelopmental, and others) and to identify characteristic features and biomarkers associated with such disorders. Frontiers Media S.A. 2023-10-04 /pmc/articles/PMC10582723/ /pubmed/37859652 http://dx.doi.org/10.3389/fneur.2023.1258116 Text en Copyright © 2023 Mandal, Jindal, Roy, Arora, Sharma, Joon, Goel, Ahasan, Maroon, Singh, Sandal, Tripathi, Sharma, Samkaria, Gaur and Shandilya. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Mandal, Pravat K. Jindal, Komal Roy, Saurav Arora, Yashika Sharma, Shallu Joon, Shallu Goel, Anshika Ahasan, Zoheb Maroon, Joseph C. Singh, Kuldeep Sandal, Kanika Tripathi, Manjari Sharma, Pooja Samkaria, Avantika Gaur, Shradha Shandilya, Sandhya SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform |
title | SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform |
title_full | SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform |
title_fullStr | SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform |
title_full_unstemmed | SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform |
title_short | SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform |
title_sort | swadesh: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582723/ https://www.ncbi.nlm.nih.gov/pubmed/37859652 http://dx.doi.org/10.3389/fneur.2023.1258116 |
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