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Relationship between white matter microstructure and work hours.

Junya Matsumoto¹, Masaki Fukunaga², Kenichiro Miura¹

¹Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan.

Neuroscience Letters

|October 21, 2020

Summary

This summary is machine-generated.

Working more hours, especially paid employment, is linked to changes in white matter brain connectivity in specific regions. This suggests that externally motivated social activities may impact brain structure.

Keywords:

Anterior limb of internal capsule Diffusion tensor imaging (DTI)Mean diffusivity (MD)Superior fronto-occipital fasciculus White matter Work hours

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Area of Science:

Neuroscience
Neuroimaging
Human Social Behavior

Background:

Human social activities rely on brain connectivity.
Understanding the link between social engagement and brain structure is crucial.

Purpose of the Study:

To investigate the association between social activities (work hours) and brain connectivity using diffusion tensor imaging (DTI).

Main Methods:

483 healthy participants underwent 3T MRI with DTI analysis.
Work hours were categorized into 'Work for Pay', 'Work at Home', and 'Student' activities.
Correlations between work hours and DTI indices (mean diffusivity) were analyzed.

Main Results:

Negative correlations were found between total work hours and mean diffusivity (MD) in the anterior limb of the internal capsule (ALIC) and the superior fronto-occipital fasciculus (SFO).
These correlations were significant specifically for 'Work for Pay' hours, not 'Work at Home' or 'Student' hours.
MD values in ALIC and SFO were associated with the microstructure of white matter.

Conclusions:

Social activity, particularly paid work, is associated with white matter microstructure in the ALIC and SFO.
The findings suggest that externally motivated social activities may influence the brain's white matter.
This highlights a potential link between motivation type and neural structure.