Multimodal Brain Mapping
Multimodal Brain Mapping is a neuroimaging methodology that integrates spatial, temporal, and functional data from multiple imaging modalities to generate comprehensive, high-resolution representations of brain structure and activity, distinguished by its capacity to concurrently align and correlate heterogeneous neurobiological signals within a unified anatomical and functional framework.
182
Publications
16.9K
Citations
1.1K
Authors
457
Institutions
Publications per year
2017–2026
77
Parents
182
Generative modeling of brain maps with spatial autocorrelation
Joshua B. Burt, Markus Helmer, Maxwell Shinn et al. · NeuroImage · 2020 · 560 citations · Full text
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Inserm
Paris, France
9 h-index
37 publications
3.9K citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
20 publications
1.6K citations

McGill University
Montreal, Canada
7 h-index
32 publications
2.1K citations
University College London
London, United Kingdom
7 h-index
20 publications
6.7K citations

Washington University in St. Louis
St Louis, United States
7 h-index
16 publications
1.4K citations
University of Pennsylvania
Philadelphia, United States
6 h-index
18 publications
686 citations
Montreal Neurological Institute and Hospital
Montreal, Canada
6 h-index
28 publications
1.8K citations

Beijing Normal University
Beijing, China
6 h-index
18 publications
462 citations
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26 publications · 6.6K citations
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11 publications · 849 citations
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5 publications · 315 citations
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4 publications · 289 citations
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Repository · 4 publications · 65 citations
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