Joint Modeling of Anatomical and Functional Connectivity for Population Studies
We propose a novel probabilistic framework to merge information from diffusion weighted imaging tractography and resting-state functional magnetic resonance imaging correlations to identify connectivity patterns in the brain. In particular, we model the interaction between latent anatomical and func...
Main Authors: | Venkataraman, A, Rathi, Y, Kubicki, M, Westin, C, Golland, P |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
|
Online Access: | https://hdl.handle.net/1721.1/133461 |
Similar Items
-
Joint Modeling of Anatomical and Functional Connectivity for Population Studies
by: Venkataraman, Archana, et al.
Published: (2022) -
Joint generative model for fMRI/DWI and its application to population
by: Venkataraman, Archana, et al.
Published: (2012) -
Robust feature selection in resting-state fMRI connectivity based on population studies
by: Venkataraman, Archana, et al.
Published: (2012) -
Whole brain resting state functional connectivity abnormalities in schizophrenia
by: Venkataraman, Archana, et al.
Published: (2015) -
From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder
by: Venkataraman, Archana, et al.
Published: (2015)