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Brain Structure and Function

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16.09.2021 | Methods Paper

Investigating sexual dimorphism in human brain structure by combining multiple indexes of brain morphology and source-based morphometry

verfasst von: Gianpaolo Del Mauro, Nicola Del Maschio, Simone Sulpizio, Davide Fedeli, Daniela Perani, Jubin Abutalebi

Erschienen in: Brain Structure and Function | Ausgabe 1/2022

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Abstract

Computational morphometry of magnetic resonance images represents a powerful tool for studying macroscopic differences in human brains. In the present study (N participants = 829), we combined different techniques and measures of brain morphology to investigate one of the most compelling topics in neuroscience: sexual dimorphism in human brain structure. When accounting for overall larger male brains, results showed limited sex differences in gray matter volume (GMV) and surface area. On the other hand, we found larger differences in cortical thickness, favoring both males and females, arguably as a result of region-specific differences. We also observed higher values of fractal dimension, a measure of cortical complexity, for males versus females across the four lobes. In addition, we applied source-based morphometry, an alternative method for measuring GMV based on the independent component analysis. Analyses on independent components revealed higher GMV in fronto-parietal regions, thalamus and caudate nucleus for females, and in cerebellar- temporal cortices and putamen for males, a pattern that is largely consistent with previous findings.

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Titel: Investigating sexual dimorphism in human brain structure by combining multiple indexes of brain morphology and source-based morphometry
verfasst von: Gianpaolo Del Mauro
Nicola Del Maschio
Simone Sulpizio
Davide Fedeli
Daniela Perani
Jubin Abutalebi
Publikationsdatum: 16.09.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Brain Structure and Function / Ausgabe 1/2022
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI: https://doi.org/10.1007/s00429-021-02376-8

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Investigating sexual dimorphism in human brain structure by combining multiple indexes of brain morphology and source-based morphometry

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