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David Reutens

Showing results (21-30 of 63) with videos related to

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Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Detectability and cortical depth dependence of stimulus-driven high-frequency BOLD oscillations in the human primary somatosensory and motor cortexShota Hodono, Jonathan R Polimeni, David Reutens, et al.
The Journal of Comparative Neurology|September 20, 2014
Development of MRI-based atlases of non-human brainsJeremy F P Ullmann, Andrew L Janke, David Reutens, et al.
Brain Injury|May 4, 2011
The relationship between mood disorders and MRI findings following traumatic brain injuryMichael Schönberger, Jennie Ponsford, David Reutens, et al.
Journal of the International Neuropsychological Society : JINS|November 25, 2010
The Australian brain and cognition and antiepileptic drugs study: IQ in school-aged children exposed to sodium valproate and polytherapyCaroline Nadebaum, Vicki Anderson, Frank Vajda, et al.
Neuropsychologia|November 7, 2016
Mentalizing in schizophrenia: A multivariate functional MRI studyAndrew K Martin, Ilvana Dzafic, Gail A Robinson, et al.
Neuroimage. Clinical|October 1, 2020
Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analysesJavier Urriola, Steffen Bollmann, Fred Tremayne, et al.
Neurobiology of Aging|August 4, 2015
The relation of structural integrity and task-related functional connectivity in the aging brainHana Burianová, Lars Marstaller, Jeiran Choupan, et al.
Epilepsy Research|November 4, 2022
Spikes with and without concurrent high-frequency oscillations: Topographic relationship and neural correlates using EEG-fMRIJavier Urriola, Steffen Bollmann, Fred Tremayne, et al.
Frontiers in Radiology|September 27, 2024
Modular GAN: positron emission tomography image reconstruction using two generative adversarial networksRajat Vashistha, Viktor Vegh, Hamed Moradi, et al.
Frontiers in Radiology|December 12, 2024
Language task-based fMRI analysis using machine learning and deep learningElaine Kuan, Viktor Vegh, John Phamnguyen, et al.
Pageof 7

Showing results (21-30 of 63) with videos related to

Sort By:
Pageof 7
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Detectability and cortical depth dependence of stimulus-driven high-frequency BOLD oscillations in the human primary somatosensory and motor cortexShota Hodono, Jonathan R Polimeni, David Reutens, et al.
The Journal of Comparative Neurology|September 20, 2014
Development of MRI-based atlases of non-human brainsJeremy F P Ullmann, Andrew L Janke, David Reutens, et al.
Brain Injury|May 4, 2011
The relationship between mood disorders and MRI findings following traumatic brain injuryMichael Schönberger, Jennie Ponsford, David Reutens, et al.
Journal of the International Neuropsychological Society : JINS|November 25, 2010
The Australian brain and cognition and antiepileptic drugs study: IQ in school-aged children exposed to sodium valproate and polytherapyCaroline Nadebaum, Vicki Anderson, Frank Vajda, et al.
Neuropsychologia|November 7, 2016
Mentalizing in schizophrenia: A multivariate functional MRI studyAndrew K Martin, Ilvana Dzafic, Gail A Robinson, et al.
Neuroimage. Clinical|October 1, 2020
Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analysesJavier Urriola, Steffen Bollmann, Fred Tremayne, et al.
Neurobiology of Aging|August 4, 2015
The relation of structural integrity and task-related functional connectivity in the aging brainHana Burianová, Lars Marstaller, Jeiran Choupan, et al.
Epilepsy Research|November 4, 2022
Spikes with and without concurrent high-frequency oscillations: Topographic relationship and neural correlates using EEG-fMRIJavier Urriola, Steffen Bollmann, Fred Tremayne, et al.
Frontiers in Radiology|September 27, 2024
Modular GAN: positron emission tomography image reconstruction using two generative adversarial networksRajat Vashistha, Viktor Vegh, Hamed Moradi, et al.
Frontiers in Radiology|December 12, 2024
Language task-based fMRI analysis using machine learning and deep learningElaine Kuan, Viktor Vegh, John Phamnguyen, et al.
Pageof 7