Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence

Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence

With the increasing availability of neuroimaging data from multiple modalities—each providing a different lens through which to study brain structure or function—new techniques for comparing, integrating, and interpreting information within and across modalities have emerged. Recent developments inc...

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Bibliographic Details
Main Authors: Sarah M. Weinstein, Simon N. Vandekar, Erica B. Baller, Danni Tu, Azeez Adebimpe, Tinashe M. Tapera, Ruben C. Gur, Raquel E. Gur, John A. Detre, Armin Raznahan, Aaron F. Alexander-Bloch, Theodore D. Satterthwaite, Russell T. Shinohara, Jun Young Park
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:NeuroImage
Subjects:
Clusterwise inference
Data integration
Intermodal correspondence
Permutation
Spatial autocorrelation
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922008333

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http://www.sciencedirect.com/science/article/pii/S1053811922008333

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