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Manjon, J. V.

Publications and source records attributed to Manjon, J. V..

2 recordsLinked to original sources

The link between gender inequality and the distribution of brain regions' relative sizes across the lifespan and the world

Evidence is emerging that the socioeconomic environment in general, and gender inequality in particular, can be a shaping force on brain structure. However, our understanding of the nature of this influence throughout the lifespan is often limited because most current data sets are geographically and demographically narrow, making it unclear whether results hold across distinct world populations. Here we analyse, for the first time, data from an online MRI analysis platform comprising 13277 subjects from 52 countries and the five continents, across ages that range from childhood to late life. We examined how gender inequality, jointly examined with economic inequality, relates to differences in brain grey matter between males and females. We found that the association between female-male brain differences and gender inequality increases with age, suggesting a cumulative effect of gender inequality throughout life. Further, by considering additional variables that are specifically related to the economy, we found that this effect was, as per current data, dominated by the economic aspects of inequality.

neuroscience↗

TIMELINE OF BRAIN ALTERATIONS IN ALZHEIMER’S DISEASE ACROSS THE ENTIRE LIFESPAN

Brain imaging studies have shown that progressive cerebral atrophy characterized the development of Alzheimers Disease (AD). The key question is how long before the diagnosis of AD the neurodegenerative process started leading to these structural alterations. To answer this question, we proposed an innovative way by inferring brain structure volume trajectories across the entire lifespan using massive number of MRI (N=4714). Our study provides evidences of early divergence of the AD model from the control model for the hippocampus before 40 years, followed by the lateral ventricles and the amygdala around 40 years for the AD model. Moreover, our lifespan investigation reveals the dynamic of the evolution of these biomarkers and suggest close abnormality trajectories for the hippocampus and the amygdala. Finally, our results highlight that the temporal lobe atrophy, a key biomarker in AD, is a very early pathophysiological event potentially associated to early life exposures to risk factors.

neuroscience↗