Back

Aberrant cerebrovascular reactivity presents as an early biomarker of psychosis susceptibility in patients with 22q11.2DS

Delavari, F.; Moia, S.; Forrer, S.; Sandini, C.; Kojovic, N.; Pascucci, A.; Lacour, C.; Eliez, S.; Van De Ville, D.

2025-06-03 neuroscience
10.1101/2025.06.02.657392 bioRxiv
Show abstract

The brains ability to regulate blood flow is fundamental to both its function and development. In the context of neurodevelopmental disorders such as schizophrenia, understanding the complex interactions between cerebrovascular health and brain function is crucial for unraveling the pathophysiology of psychosis. This study investigates the developmental trajectory of cerebrovascular reactivity (CVR) in 22q11 deletion syndrome (22q11.2DS) compared to healthy controls, and its association with psychosis susceptibility. Using a longitudinal data-set of resting-state fMRI, we mapped voxel-level CVR across development. We found significant and early CVR impairments in 22q11.2DS, and in particular in those who later developed positive psychotic symptoms (PPS+). These impairments were evident within the anterior cingulate cortex, frontal lobes, and globi pallidi (GB). We propose that the pattern of CVR reduction presenting early during childhood is possibly linked to blood brain barrier impairment. A decrease in CVR during childhood and within the frontal regions and GB was predictive of subsequent development of positive psychotic symptoms (PPS), which often occurs during adolescence in 22q11.2DS patients. These findings suggest that cerebrovascular health is critical for normal brain development, particularly in regions like the striatum, which are vulnerable to vascular damage due to their anatomical features. These results underline the potential of CVR as an early biomarker for psychosis vulnerability, emphasizing the need for targeted interventions to mitigate neurodevelopmental disruptions of cerebrovascular health in 22q11.2DS.

Published in Translational Psychiatry (predicted rank #3) · training set

Matching journals

The top 6 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.