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These studies should include: i) an in-depth analysis of the entire brain vasculature comprising structural and molecular analysis of the different microvascular compartments using modern histopathological approaches like 3D-imaging and single cell RNA sequencing, ii) an analysis of resting CBF across all brain regions and of the main brain vessel functions, promoting approaches conducted in awake animals, iii) an assessment of the integrity of the parenchyma across all brain regions using high resolution structural and diffusion MRI that most closely aligns with human studies and iv) an evaluation of executive functions (working memory, processing speed, attention, cognitive flexibility, planning), instead of conventional behavioral tests that have limited translational value

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Duzel, A., Vlainic, J., Antunovic, M., Malekinusic, D., Vrdoljak, B., Samara, M., Gojkovic, S., Krezic, I., Vidovic, T., Bilic, Z., Knezevic, M., Sever, M., Lojo, N., Kokot, A., Kolovrat, M., Drmic, D., Vukojevic, J., Kralj, T., Kasnik, K.,

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Untargeted urine metabolomics and machine learning provide potential metabolic signatures in children with autism spectrum disorder

A similar conclusion was reached by another study published in JAMA Internal Medicine