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Sex differences in the brain.

Scott D Slotnick1

  • 1Department of Psychology and Neuroscience, Boston College, Chestnut Hill, MA, USA.

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|September 30, 2021
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Summary
This summary is machine-generated.

This special issue explores sex differences in the brain, revealing distinct patterns in auditory processing, spatial memory, and brain network activity between males and females. These findings highlight the importance of considering sex as a biological variable in cognitive neuroscience research.

Keywords:
ERPsSexcognitive neurosciencefMRIspecial issue

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Sex Differences Research

Background:

  • Sex is a biological variable that can influence brain structure and function.
  • Previous research has yielded mixed results regarding sex differences in cognitive tasks.
  • A comprehensive understanding of brain function requires considering sex as a key factor.

Purpose of the Study:

  • To investigate sex differences in brain activity and network dynamics during cognitive tasks.
  • To explore the relationship between brain dynamism and psychological traits across sexes.
  • To assess the accuracy of anatomical MRI data in predicting biological sex.

Main Methods:

  • Event-related potentials (ERPs) to assess auditory cortex activity.
  • Functional magnetic resonance imaging (fMRI) to examine brain activity during spatial memory tasks.
  • fMRI resting-state data analysis to identify brain network states and dynamism.
  • Machine learning classification using anatomical MRI data.

Main Results:

  • Females exhibited larger ERP auditory cortex activity than males during sound perception.
  • Males showed greater fMRI activity in the lateral prefrontal cortex during high-confidence spatial memory.
  • Distinct patterns of transient network states were observed: females in dorsal attention/sensory-motor networks, males in salience networks.
  • Brain dynamism correlated with anxiety/depression in males and drive/novelty-seeking in females.
  • Anatomical MRI data predicted sex with 80.4% accuracy.

Conclusions:

  • Sex is a significant factor influencing brain activity, network dynamics, and cognitive processes.
  • The findings support the inclusion of sex as a biological variable in cognitive neuroscience.
  • Further research is needed to elucidate the complex interplay between sex, brain function, and behavior.