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Martin A Lindquist

Showing results (51-60 of 149) with videos related to

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Human Brain Mapping|January 23, 2019
Modular preprocessing pipelines can reintroduce artifacts into fMRI dataMartin A Lindquist, Stephan Geuter, Tor D Wager, et al.
Neuroimage|April 26, 2019
Investigating the impact of autocorrelation on time-varying connectivityHamed Honari, Ann S Choe, James J Pekar, et al.
Pain Reports|October 4, 2019
Neuroimaging-based biomarkers for pain: state of the field and current directionsMaite M van der Miesen, Martin A Lindquist, Tor D Wager
Biorxiv : the Preprint Server for Biology|October 17, 2024
Expectation generation and its effect on subsequent pain and visual perceptionRotem Botvinik-Nezer, Stephan Geuter, Martin A Lindquist, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|May 9, 2018
Dynamic Functional Connectivity States Reflecting Psychotic-like ExperiencesAnita D Barber, Martin A Lindquist, Pamela DeRosse, et al.
Neuroimage|July 5, 2014
Evaluating dynamic bivariate correlations in resting-state fMRI: a comparison study and a new approachMartin A Lindquist, Yuting Xu, Mary Beth Nebel, et al.
Pain|May 22, 2014
Brain mediators of the effects of noxious heat on painLauren Y Atlas, Martin A Lindquist, Niall Bolger, et al.
Biorxiv : the Preprint Server for Biology|September 10, 2024
Effects of connectivity hyperalignment (CHA) on estimated brain network properties: from coarse-scale to fine-scaleFarzad V Farahani, Mary Beth Nebel, Tor D Wager, et al.
Journal of Neurology|August 23, 2023
Evaluating the prediction performance of objective physical activity measures for incident Parkinson's disease in the UK BiobankAngela Zhao, Erjia Cui, Andrew Leroux, et al.
Neuroimage|December 17, 2008
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modelingMartin A Lindquist, Ji Meng Loh, Lauren Y Atlas, et al.
Pageof 15

Showing results (51-60 of 149) with videos related to

Sort By:
Pageof 15
Human Brain Mapping|January 23, 2019
Modular preprocessing pipelines can reintroduce artifacts into fMRI dataMartin A Lindquist, Stephan Geuter, Tor D Wager, et al.
Neuroimage|April 26, 2019
Investigating the impact of autocorrelation on time-varying connectivityHamed Honari, Ann S Choe, James J Pekar, et al.
Pain Reports|October 4, 2019
Neuroimaging-based biomarkers for pain: state of the field and current directionsMaite M van der Miesen, Martin A Lindquist, Tor D Wager
Biorxiv : the Preprint Server for Biology|October 17, 2024
Expectation generation and its effect on subsequent pain and visual perceptionRotem Botvinik-Nezer, Stephan Geuter, Martin A Lindquist, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|May 9, 2018
Dynamic Functional Connectivity States Reflecting Psychotic-like ExperiencesAnita D Barber, Martin A Lindquist, Pamela DeRosse, et al.
Neuroimage|July 5, 2014
Evaluating dynamic bivariate correlations in resting-state fMRI: a comparison study and a new approachMartin A Lindquist, Yuting Xu, Mary Beth Nebel, et al.
Pain|May 22, 2014
Brain mediators of the effects of noxious heat on painLauren Y Atlas, Martin A Lindquist, Niall Bolger, et al.
Biorxiv : the Preprint Server for Biology|September 10, 2024
Effects of connectivity hyperalignment (CHA) on estimated brain network properties: from coarse-scale to fine-scaleFarzad V Farahani, Mary Beth Nebel, Tor D Wager, et al.
Journal of Neurology|August 23, 2023
Evaluating the prediction performance of objective physical activity measures for incident Parkinson's disease in the UK BiobankAngela Zhao, Erjia Cui, Andrew Leroux, et al.
Neuroimage|December 17, 2008
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modelingMartin A Lindquist, Ji Meng Loh, Lauren Y Atlas, et al.
Pageof 15