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Showing results (691-700 of 729) with videos related to

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Molecular Psychiatry|June 3, 2015
Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortiumT G M van Erp, D P Hibar, J M Rasmussen, et al.
Acta Psychiatrica Scandinavica|April 4, 2017
Positive symptoms associate with cortical thinning in the superior temporal gyrus via the ENIGMA Schizophrenia consortiumE Walton, D P Hibar, T G M van Erp, et al.
Psychological Medicine|May 27, 2017
Prefrontal cortical thinning links to negative symptoms in schizophrenia via the ENIGMA consortiumE Walton, D P Hibar, T G M van Erp, et al.
Acta Neurochirurgica|April 6, 2026
The Ki-67 proliferation index and recurrence risk of intracranial meningioma: a multicenter, retrospective cohort study of 5,050 patientsChristian Mirian, Lasse Rehné Jensen, Tareq A Juratli, et al.
Biological Psychiatry|February 20, 2026
The link between weight gain and hippocampal atrophy in bipolar disorder - A longitudinal investigation in 934 participantsJulia Fraiha-Pegado, Sean R McWhinney, Martin Alda, et al.
Biological Psychiatry|November 23, 2021
Longitudinal Structural Brain Changes in Bipolar Disorder: A Multicenter Neuroimaging Study of 1232 Individuals by the ENIGMA Bipolar Disorder Working GroupChristoph Abé, Christopher R K Ching, Benny Liberg, et al.
Molecular Psychiatry|February 10, 2016
Subcortical volumetric abnormalities in bipolar disorderD P Hibar, L T Westlye, T G M van Erp, et al.
Journal of Neuro-Oncology|February 9, 2024
The importance of considering competing risks in recurrence analysis of intracranial meningiomaChristian Mirian, Lasse Rehné Jensen, Tareq A Juratli, et al.
Molecular Psychiatry|September 2, 2018
Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working GroupAbraham Nunes, Hugo G Schnack, Christopher R K Ching, et al.
Bipolar Disorders|December 11, 2021
Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individualsSean R McWhinney, Christoph Abé, Martin Alda, et al.
Pageof 73

Showing results (691-700 of 729) with videos related to

Sort By:
Pageof 73
Molecular Psychiatry|June 3, 2015
Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortiumT G M van Erp, D P Hibar, J M Rasmussen, et al.
Acta Psychiatrica Scandinavica|April 4, 2017
Positive symptoms associate with cortical thinning in the superior temporal gyrus via the ENIGMA Schizophrenia consortiumE Walton, D P Hibar, T G M van Erp, et al.
Psychological Medicine|May 27, 2017
Prefrontal cortical thinning links to negative symptoms in schizophrenia via the ENIGMA consortiumE Walton, D P Hibar, T G M van Erp, et al.
Acta Neurochirurgica|April 6, 2026
The Ki-67 proliferation index and recurrence risk of intracranial meningioma: a multicenter, retrospective cohort study of 5,050 patientsChristian Mirian, Lasse Rehné Jensen, Tareq A Juratli, et al.
Biological Psychiatry|February 20, 2026
The link between weight gain and hippocampal atrophy in bipolar disorder - A longitudinal investigation in 934 participantsJulia Fraiha-Pegado, Sean R McWhinney, Martin Alda, et al.
Biological Psychiatry|November 23, 2021
Longitudinal Structural Brain Changes in Bipolar Disorder: A Multicenter Neuroimaging Study of 1232 Individuals by the ENIGMA Bipolar Disorder Working GroupChristoph Abé, Christopher R K Ching, Benny Liberg, et al.
Molecular Psychiatry|February 10, 2016
Subcortical volumetric abnormalities in bipolar disorderD P Hibar, L T Westlye, T G M van Erp, et al.
Journal of Neuro-Oncology|February 9, 2024
The importance of considering competing risks in recurrence analysis of intracranial meningiomaChristian Mirian, Lasse Rehné Jensen, Tareq A Juratli, et al.
Molecular Psychiatry|September 2, 2018
Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working GroupAbraham Nunes, Hugo G Schnack, Christopher R K Ching, et al.
Bipolar Disorders|December 11, 2021
Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individualsSean R McWhinney, Christoph Abé, Martin Alda, et al.
Pageof 73