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D Calhoun

Showing results (1181-1190 of 1,410) with videos related to

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Schizophrenia Bulletin|February 1, 2018
Should I Stay or Should I Go? FMRI Study of Response Inhibition in Early Illness Schizophrenia and Risk for PsychosisSusanna L Fryer, Brian J Roach, Judith M Ford, et al.
European Archives of Psychiatry and Clinical Neuroscience|February 22, 2023
Structure/function interrelationships and illness insight in patients with schizophrenia: a multimodal MRI data fusion studyMarie-Luise Otte, Mike M Schmitgen, Nadine D Wolf, et al.
Neuroimage|October 31, 2012
Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophreniaJing Sui, Hao He, Godfrey D Pearlson, et al.
Neuroimage. Clinical|February 29, 2024
A whole-brain neuromark resting-state fMRI analysis of first-episode and early psychosis: Evidence of aberrant cortical-subcortical-cerebellar functional circuitryKyle M Jensen, Vince D Calhoun, Zening Fu, et al.
Brain Research. Cognitive Brain Research|July 26, 2003
fMRI evidence that the neural basis of response inhibition is task-dependentStewart H Mostofsky, Joanna G B Schafer, Michael T Abrams, et al.
Frontiers in Psychiatry|August 10, 2019
Altered Domain Functional Network Connectivity Strength and Randomness in SchizophreniaVictor M Vergara, Eswar Damaraju, Jessica A Turner, et al.
Journal of Neuroscience Methods|January 25, 2020
Weighted average of shared trajectory: A new estimator for dynamic functional connectivity efficiently estimates both rapid and slow changes over timeAshkan Faghiri, Armin Iraji, Eswar Damaraju, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Aberrant Functional Network Connectivity Transition Probability in Major Depressive DisorderElaheh Zendehrouh, Mohammad S E Sendi, Jing Sui, et al.
Neuroimage. Clinical|March 29, 2019
Group ICA for identifying biomarkers in schizophrenia: 'Adaptive' networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regressionMustafa S Salman, Yuhui Du, Dongdong Lin, et al.
Brain Connectivity|January 30, 2021
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive DisorderMohammad S E Sendi, Elaheh Zendehrouh, Jing Sui, et al.
Pageof 141

Showing results (1181-1190 of 1,410) with videos related to

Sort By:
Pageof 141
Schizophrenia Bulletin|February 1, 2018
Should I Stay or Should I Go? FMRI Study of Response Inhibition in Early Illness Schizophrenia and Risk for PsychosisSusanna L Fryer, Brian J Roach, Judith M Ford, et al.
European Archives of Psychiatry and Clinical Neuroscience|February 22, 2023
Structure/function interrelationships and illness insight in patients with schizophrenia: a multimodal MRI data fusion studyMarie-Luise Otte, Mike M Schmitgen, Nadine D Wolf, et al.
Neuroimage|October 31, 2012
Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophreniaJing Sui, Hao He, Godfrey D Pearlson, et al.
Neuroimage. Clinical|February 29, 2024
A whole-brain neuromark resting-state fMRI analysis of first-episode and early psychosis: Evidence of aberrant cortical-subcortical-cerebellar functional circuitryKyle M Jensen, Vince D Calhoun, Zening Fu, et al.
Brain Research. Cognitive Brain Research|July 26, 2003
fMRI evidence that the neural basis of response inhibition is task-dependentStewart H Mostofsky, Joanna G B Schafer, Michael T Abrams, et al.
Frontiers in Psychiatry|August 10, 2019
Altered Domain Functional Network Connectivity Strength and Randomness in SchizophreniaVictor M Vergara, Eswar Damaraju, Jessica A Turner, et al.
Journal of Neuroscience Methods|January 25, 2020
Weighted average of shared trajectory: A new estimator for dynamic functional connectivity efficiently estimates both rapid and slow changes over timeAshkan Faghiri, Armin Iraji, Eswar Damaraju, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Aberrant Functional Network Connectivity Transition Probability in Major Depressive DisorderElaheh Zendehrouh, Mohammad S E Sendi, Jing Sui, et al.
Neuroimage. Clinical|March 29, 2019
Group ICA for identifying biomarkers in schizophrenia: 'Adaptive' networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regressionMustafa S Salman, Yuhui Du, Dongdong Lin, et al.
Brain Connectivity|January 30, 2021
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive DisorderMohammad S E Sendi, Elaheh Zendehrouh, Jing Sui, et al.
Pageof 141