ArticleFrontiers in neurology2023
SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- ACPC-MAP: a protocol for manually aligning structural T1-weighted magnetic resonance images to the anterior commissure - posterior commissure plane according to clinical standards.Brain structure & function · 2026Article
- How gut microbiota contribute to neuropsychiatric disorders: evidence from neuroimaging studies.Frontiers in microbiology · 2026Review
- Relationship Between Cognitive Impairment and Quality of Life in Systemic Lupus Erythematosus: A Multimodal Neuroimaging Perspective.International journal of general medicine · 2025Review
- Precision TMS through the integration of neuroimaging and machine learning: optimizing stimulation targets for personalized treatment.Frontiers in human neuroscience · 2025Review
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16 authors.
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Abstract
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.
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