Connectome-based Prediction
Connectome-Based Prediction is a computational framework that distinguishes itself by leveraging whole-brain connectivity patterns to model and predict individual phenotypic or behavioral traits from neuroimaging data.
226
Publications
16.1K
Citations
1.3K
Authors
515
Institutions
Publications per year
2017–2026
205
Parents
226
Connectivity Predicts deep brain stimulation outcome in <scp>P</scp>arkinson disease
Andreas Horn, Martin M. Reich, Johannes Vorwerk et al. · Annals of Neurology · 2017 · 738 citations · Full text
1–5 of 226
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515
Yale University
New Haven, United States
27 h-index
150 publications
23.2K citations
Massachusetts General Hospital
Boston, United States
13 h-index
25 publications
1.8K citations
Harvard University
Cambridge, United States
11 h-index
23 publications
2.6K citations

Cornell University
Ithaca, United States
11 h-index
37 publications
2.8K citations
National University of Singapore
Singapore, Singapore
10 h-index
44 publications
4.3K citations

Beijing Normal University
Beijing, China
10 h-index
60 publications
3.2K citations
Athinoula A. Martinos Center for Biomedical Imaging
Boston, United States
9 h-index
9 publications
1.5K citations
University of Chicago
Chicago, United States
9 h-index
15 publications
750 citations
1–8 of 515
41 publications · 3.8K citations
29
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19 publications · 801 citations
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13 publications · 957 citations
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11 publications · 363 citations
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Repository · 8 publications · 198 citations
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