GEMReg: a spatio-temporal grayordinate ensemble modelling framework for predicting task activation maps from resting-state fMRI

Comparative analyses demonstrate that the proposed spatio-temporal GEMReg consistently outperforms existing methods across standard evaluation metrics, thereby establishing a new state-of-the-art for task activation map prediction using rs-fMRI.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2025-12-03
DOI
https://doi.org/10.3389/fnins.2025.1716271
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
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article

GEMReg: a spatio-temporal grayordinate ensemble modelling framework for predicting task activation maps from resting-state fMRI

Nitya Tiwari, Himanshu Padole, S Venkata Satish Kumar Pasumarthi, Satwik Bathula
Frontiers in Neuroscience
Functional Brain Connectivity Studies
article

GEMReg: a spatio-temporal grayordinate ensemble modelling framework for predicting task activation maps from resting-state fMRI

Nitya Tiwari, Himanshu Padole, S Venkata Satish Kumar Pasumarthi, Satwik Bathula
article en

Abstract

Comparative analyses demonstrate that the proposed spatio-temporal GEMReg consistently outperforms existing methods across standard evaluation metrics, thereby establishing a new state-of-the-art for task activation map prediction using rs-fMRI.

Frontiers in NeuroscienceVol. 19
Indian Institute of Technology Bhubaneswar (IN)
Openalex Percentile: Top 62%
Functional Brain Connectivity Studies
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