Meta-analysis reveals a lack of sexual dimorphism in human amygdala volume

NeuroImage

Volumn 147, Issue , 2017, Pages 282-294

  Marwha, Dhruv ^a   Halari, Meha ^a   Eliot, Lise ^a  

^a ROSALIND FRANKLIN UNIVERSITY OF MEDICINE AND SCIENCE   (United States)

Author keywords

Gender; Morphometry; MRI; Sex difference; Systematic review

Indexed keywords

ALLOMETRY; AMYGDALA; ARTICLE; BRAIN REGION; BRAIN SIZE; HUMAN; IMAGE ANALYSIS; MORPHOMETRY; NEUROIMAGING; PRIORITY JOURNAL; QUALITY CONTROL; QUANTITATIVE ANALYSIS; RELIABILITY; SEX DIFFERENCE; SYSTEMATIC REVIEW; ADOLESCENT; ADULT; ANATOMY AND HISTOLOGY; CHILD; FEMALE; MALE; META ANALYSIS; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PRESCHOOL CHILD; SEXUAL CHARACTERISTICS; STATISTICS AND NUMERICAL DATA; YOUNG ADULT;

ADOLESCENT; ADULT; AMYGDALA; CHILD; CHILD, PRESCHOOL; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; SEX CHARACTERISTICS; YOUNG ADULT;

EID: 85006850595     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.12.021     Document Type: Article

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