Male brain ages faster: the age and gender dependence of subcortical volumes.

Effects of gender on grey matter (GM) volume differences in subcortical structures of the human brain have consistently been reported. Recent research evidence suggests that both gender and brain size influences volume distribution in subcortical areas independently. The goal of this study was to de...

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Publicado en:Brain Imaging & Behavior Vol. 10; no. 3; pp. 901 - 911
Autores principales: Király, András, Szabó, Nikoletta, Tóth, Eszter, Csete, Gergő, Faragó, Péter, Kocsis, Krisztián, Must, Anita, Vécsei, László, Kincses, Zsigmond, Kincses, Zsigmond Tamás
Formato: research Journal Article
Publicado: Springer Nature Sep2016
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2016
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      pub: Springer Nature
      place: New York, New York
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        atl: Male brain ages faster: the age and gender dependence of subcortical volumes.
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        au:
          Király, András
          Szabó, Nikoletta
          Tóth, Eszter
          Csete, Gergő
          Faragó, Péter
          Kocsis, Krisztián
          Must, Anita
          Vécsei, László
          Kincses, Zsigmond
          Király, András
          Szabó, Nikoletta
          Tóth, Eszter
          Csete, Gergő
          Faragó, Péter
          Kocsis, Krisztián
          Vécsei, László
          Kincses, Zsigmond Tamás
        affil: Department of Neurology, Albert Szent-Györgyi Clinical Center , University of Szeged , Semmelweis u. 6 Szeged H-6725 Hungary
      sug:
        subj:
          Reproduction
          Aging
          Brain
          Aging Physiology
          Brain Physiology
          Male
          Middle Age
          Multivariate Analysis
          Information Science
          Gray Matter
          Female
          Young Adult
          Image Processing, Computer Assisted
          Gray Matter Physiology
          Human
          Body Weights and Measures
          Adult
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Middle Aged: 45-64 years
          Adult: 19-44 years
          Male
          Female
      ab: Effects of gender on grey matter (GM) volume differences in subcortical structures of the human brain have consistently been reported. Recent research evidence suggests that both gender and brain size influences volume distribution in subcortical areas independently. The goal of this study was to determine the effects of the interplay between brain size, gender and age contributing to volume differences of subcortical GM in the human brain. High-resolution T1-weighted images were acquired from 53 healthy males and 50 age-matched healthy females. Total GM volume was determined using voxel-based morphometry. We used model-based subcortical segmentation analysis to measure the volume of subcortical nuclei. Main effects of gender, brain volume and aging on subcortical structures were examined using multivariate analysis of variance. No significant difference was found in total brain volume between the two genders after correcting for total intracranial volume. Our analysis revealed significantly larger hippocampus volume for females. Additionally, GM volumes of the caudate nucleus, putamen and thalamus displayed a significant age-related decrease in males as compared to females. In contrast to this only the thalamic volume loss proved significant for females. Strikingly, GM volume decreases faster in males than in females emphasizing the interplay between aging and gender on subcortical structures. These findings might have important implications for the interpretation of the effects of unalterable factors (i.e. gender and age) in cross-sectional structural MRI studies. Furthermore, the volume distribution and changes of subcortical structures have been consistently related to several neuropsychiatric disorders (e.g. Parkinson's disease, attention deficit hyperactivity disorder, etc.). Understanding these changes might yield further insight in the course and prognosis of these disorders.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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