| Title: | Lifestyle risks associated with brain functional connectivity and structure |
| Journal: | Human Brain Mapping |
| Published: | 17 Feb 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36799566/ |
| DOI: | https://doi.org/10.1002/hbm.26225 |
| URL: | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.26225 |
| Citations: | 4 (4 in last 2 years) as of 8 Aug 2024 |
Publication 7940
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Abstract
Some lifestyle factors are related to health and brain function and structure, but the brain systems involved are incompletely understood. A general linear model was used to test the associations of the combined and separate lifestyle risk measures of alcohol use, smoking, diet, amounts of physical activity, leisure activity, and mobile phone use, with brain functional connectivity with the high resolution Human Connectome Project (HCP) atlas in 19,415 participants aged 45-78 from the UK Biobank, with replication with HCP data. Higher combined lifestyle risk scores were associated with lower functional connectivity across the whole brain, but especially of three brain systems. Low physical, and leisure and social, activity were associated with low connectivities of the somatosensory/motor cortical regions and of hippocampal memory-related regions. Low mobile phone use, perhaps indicative of poor social communication channels, was associated with low functional connectivity of brain regions in and related to the superior temporal sulcus that are involved in social behavior and face processing. Smoking was associated with lower functional connectivity of especially frontal regions involved in attention. Lower cortical thickness in some of these regions, and also lower subcortical volume of the hippocampus, amygdala, and globus pallidus, were also associated with the sum of the poor lifestyle scores. This very large scale analysis emphasizes how the lifestyle of humans relates to their brain structure and function, and provides a foundation for understanding the causalities that relate to the differences found here in the brains of different individuals.3 Authors
- Edmund T. Rolls
- Ruiqing Feng
- Jianfeng Feng
1 Application
| Application ID | Title |
|---|---|
| 19542 | Identifying multi-level biomarkers and disease mechanisms for major mental disorders |
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