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Martin A Lindquist

Showing results (101-110 of 149) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|January 16, 2026
Data Quality Assurance Tool for the Acute to Chronic Pain Signatures Study (A2CPS): An Interactive R Shiny ApplicationBriha Ansari, Patrick Sadil, James Ford, et al.
Neuroimage|February 3, 2018
Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkageAmanda F Mejia, Mary Beth Nebel, Anita D Barber, et al.
Neuroimage|March 4, 2015
Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimatorsAmanda F Mejia, Mary Beth Nebel, Haochang Shou, et al.
Neuroimage|June 1, 2014
Shrinkage prediction of seed-voxel brain connectivity using resting state fMRIHaochang Shou, Ani Eloyan, Mary Beth Nebel, et al.
Pain|May 1, 2018
Multivariate machine learning distinguishes cross-network dynamic functional connectivity patterns in state and trait neuropathic painJoshua C Cheng, Anton Rogachov, Kasey S Hemington, et al.
Nature Communications|November 18, 2014
Separate neural representations for physical pain and social rejectionChoong-Wan Woo, Leonie Koban, Ethan Kross, et al.
Biological Psychiatry Global Open Science|March 19, 2026
Dynamic Resting-State Network Markers of Disruptive Behavior Problems in YouthHeather M Shappell, Zhiyuan Liu, Mohammadreza Khodaei, et al.
Brain Connectivity|October 4, 2017
Dynamic Functional Connectivity States Between the Dorsal and Ventral Sensorimotor Networks Revealed by Dynamic Conditional Correlation Analysis of Resting-State Functional Magnetic Resonance ImagingMaleeha F Syed, Martin A Lindquist, Jay J Pillai, et al.
Biorxiv : the Preprint Server for Biology|June 6, 2025
Dynamic Resting-State Network Markers of Disruptive Behavior Problems in YouthHeather M Shappell, Zhiyuan Liu, Mohammadreza Khodaei, et al.
Neuroimage|July 9, 2017
Comparing test-retest reliability of dynamic functional connectivity methodsAnn S Choe, Mary Beth Nebel, Anita D Barber, et al.
Pageof 15

Showing results (101-110 of 149) with videos related to

Sort By:
Pageof 15
Medrxiv : the Preprint Server for Health Sciences|January 16, 2026
Data Quality Assurance Tool for the Acute to Chronic Pain Signatures Study (A2CPS): An Interactive R Shiny ApplicationBriha Ansari, Patrick Sadil, James Ford, et al.
Neuroimage|February 3, 2018
Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkageAmanda F Mejia, Mary Beth Nebel, Anita D Barber, et al.
Neuroimage|March 4, 2015
Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimatorsAmanda F Mejia, Mary Beth Nebel, Haochang Shou, et al.
Neuroimage|June 1, 2014
Shrinkage prediction of seed-voxel brain connectivity using resting state fMRIHaochang Shou, Ani Eloyan, Mary Beth Nebel, et al.
Pain|May 1, 2018
Multivariate machine learning distinguishes cross-network dynamic functional connectivity patterns in state and trait neuropathic painJoshua C Cheng, Anton Rogachov, Kasey S Hemington, et al.
Nature Communications|November 18, 2014
Separate neural representations for physical pain and social rejectionChoong-Wan Woo, Leonie Koban, Ethan Kross, et al.
Biological Psychiatry Global Open Science|March 19, 2026
Dynamic Resting-State Network Markers of Disruptive Behavior Problems in YouthHeather M Shappell, Zhiyuan Liu, Mohammadreza Khodaei, et al.
Brain Connectivity|October 4, 2017
Dynamic Functional Connectivity States Between the Dorsal and Ventral Sensorimotor Networks Revealed by Dynamic Conditional Correlation Analysis of Resting-State Functional Magnetic Resonance ImagingMaleeha F Syed, Martin A Lindquist, Jay J Pillai, et al.
Biorxiv : the Preprint Server for Biology|June 6, 2025
Dynamic Resting-State Network Markers of Disruptive Behavior Problems in YouthHeather M Shappell, Zhiyuan Liu, Mohammadreza Khodaei, et al.
Neuroimage|July 9, 2017
Comparing test-retest reliability of dynamic functional connectivity methodsAnn S Choe, Mary Beth Nebel, Anita D Barber, et al.
Pageof 15