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Biology subjects

Guinjoan, S.

Publications and source records attributed to Guinjoan, S..

2 recordsLinked to original sources

Aging increases the distinctiveness of emotional brain states across rumination, worry, and positive thinking

Emotional well-being improves with age, but how neural activity related to emotional brain states changes with aging remains unclear. This study examined individualized brain activation patterns for rumination, worry, and positive thinking to explore age-related variations in emotional state representation. Thirty-five participants (aged 18-64) recalled autobiographical events tied to these emotional states during fMRI scanning. Brain activity was analyzed using an individualized machine learning classifier. Results showed increased discriminability of rumination and worry with age, with older adults exhibiting heightened activation in cognitive control regions during rumination and reduced activation in the cingulate and temporoparietal junction during worry. No significant age-related changes were found for positive thinking, although increased discriminability between positive and negative states correlated with well- being (FDR < 0.05). These findings suggest that aging enhances cognitive control during rumination and reduces anxiety responses during worry, potentially contributing to improved emotional well-being in older adults.

neuroscience↗

Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression

This study investigated the relationship between gut microbiota and neuropsychiatric disorders (NPDs), specifically anxiety disorder (ANXD) and/or major depressive disorder (MDD), as defined by DSM-IV or V criteria. The study also examined the influence of medication use, particularly antidepressants and/or anxiolytics, classified through the Anatomical Therapeutic Chemical (ATC) Classification System, on the gut microbiota. Both 16S rRNA gene amplicon sequencing and shallow shotgun sequencing were performed on DNA extracted from 666 fecal samples from the Tulsa-1000 and NeuroMAP CoBRE cohorts. The results highlight the significant influence of medication use; antidepressant use is associated with significant differences in gut microbiota beta diversity and has a larger effect size than NPD diagnosis. Next, specific microbes were associated with ANXD and MDD, highlighting their potential for non-pharmacological intervention. Finally, the study demonstrated the capability of Random Forest classifiers to predict diagnoses of NPD and medication use from microbial profiles, suggesting a promising direction for the use of gut microbiota as biomarkers for NPD. The findings suggest that future research on the gut microbiotas role in NPD and its interactions with pharmacological treatments are needed.

microbiology↗