JoVE Journal

Neuroscience

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Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)

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69.7K Views

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06:26 min

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November 27th, 2019

DOI :

10.3791/59841-v

November 27th, 2019

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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

Podsumowanie

We detail how to conduct a meta-analysis of voxel-based neuroimaging studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI).

Przeglądaj więcej filmów

Voxel Based Neuroimaging

Seed based D Mapping

Permutation Of Subject Images

Gray Matter Abnormalities

Neuroimaging Studies

Statistical Peaks

PRISMA Flow Diagram

Potential Effect Sizes

Rozdziały w tym wideo

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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