Back

Elevated plasma cortisol associated with larger ventricles and smaller hippocampal volumes, a study in 2 independent elderly cohorts

RAJAGOPALAN, P.; Nho, K.; Risacher, S. L.; Jahanshad, N.; Boyle, C. P.; Saykin, A. J.; Thompson, P. M.

2020-05-04 neuroscience
10.1101/2020.05.03.074823 bioRxiv
Show abstract

Cortisol is considered the most fundamental stress hormone and is elevated in stress and multiple neuropsychiatric conditions. Prior studies have shown associations of plasma cortisol levels with total cerebral and hippocampal volumes and less consistently with the amygdala. Here, we extend our hypothesis to test associations of plasma cortisol with 1) ventricular 2) hippocampal and 3) amygdalar volumes, in two independent elderly cohorts across a broad cognitive spectrum ranging from normal cognition to Alzheimers disease. We demonstrate elevated cortisol to be associated with larger lateral ventricular volumes and smaller hippocampal volumes, predominantly in the right cerebral hemisphere, regardless of age, sex or cognitive status. We noted a non-significant trend of smaller amygdalar volumes with elevated cortisol. Our findings support smaller brain parenchyma volumes seen with elevated cortisol and may encourage effective strategies reducing cortisol and stress. They may also serve as imaging biomarkers for assessing therapeutic benefits of stress and cortisol lowering interventions aiming to halt or reverse the brain volume alterations and theoretically improve cognition and quality of life. HighlightsO_LIElevated cortisol associated with larger ventricular volumes and smaller hippocampal volumes C_LIO_LIAssociations are predominantly noted in the right cerebral hemisphere. C_LIO_LISimilar non-significant trends noted in amygdalar volumes C_LIO_LICortisol and stress reducing strategies may halt brain changes and improve quality of life C_LIO_LIImaging biomarkers may help assess efficacy of cortisol-lowering therapeutic interventions C_LI

Matching journals

The top 13 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.