Meta-Analyse von Voxel-basierten Neuroimaging-Studien mit Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
86.3K Aufrufe
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Zitiert von 100
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06:26 Min.
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27. November 2019
DOI :10.3791/59841-v
27. November 2019
•86.3K Aufrufe
Anton Albajes-Eizagirre1,2 , Aleix Solanes1,2 , Miquel Angel Fullana2,3 , John P. A. Ioannidis4 , Paolo Fusar-Poli5,6,7 , Carla Torrent1,2,3,8 , Brisa Solé1,2,3,8 , Caterina Mar Bonnín1,2,3,8 , Eduard Vieta1,2,3,8 , David Mataix-Cols9 , Joaquim Radua1,2,5,9
1Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 2Mental Health Research Networking Center (CIBERSAM), 3Institute of Neurosciences, Hospital Clinic de Barcelona, 4Departments of Medicine, of Health Research and Policy, and of Biomedical Data Science, Stanford University School of Medicine, and Department of Statistics, Stanford University School of Humanities and Sciences, 5Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 6OASIS Service, South London and Maudsley NHS Foundation Trust, 7Department of Nervous System and Behavioral Sciences, University of Pavia, 8University of Barcelona, 9Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet
Wir beschreiben, wie eine Metaanalyse von voxel-basierten Neuroimaging-Studien mit Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) durchgeführt wird.
Chapters in this video
0:04
Title
0:59
Exhaustive Search and Data Collection
2:03
Seed-Based d Mapping with Permutation of Subject Images (SDM-PSI) Data Introduction
2:42
Pre-Processing and Main Analysis
4:08
Heterogeneity, Publication Bias, and Grading
4:53
Results: Representative Smaller Gray Matter Volume Analyses
5:38
Conclusion
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