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TL;DR: An iPad app that tracks 52 facial movements told apart people with Parkinson’s from people without it about 4 times in 5 in a 70-person study. Lopsided expressions mattered as much as smaller ones. Key Findings 34 people with Parkinson’s, 36 without: Ea…
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TL;DR: A 2026 preprint in medRxiv tested an interpretable machine-learning model for focal cortical dysplasia (FCD), a lesion linked to drug-resistant epilepsy, and found that hemispheric-asymmetry MRI features classified 39 of 50 subjects correctly in leave-o…
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TL;DR: A 2026 study in European Journal of Nuclear Medicine and Molecular Imaging found that semiquantitative [123I]FP-CIT SPECT metrics, especially caudate-to-putamen and sensorimotor-to-limbic ratios, helped distinguish Parkinson’s disease from atypical park…
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TL;DR: A 2026 medRxiv preprint reported that peripheral blood RNA sequencing separated Parkinson disease from healthy controls and isolated REM sleep behavior disorder more clearly than it separated isolated REM sleep behavior disorder from controls. Key Findi…
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TL;DR: A 2026 study in Brain, Behavior, & Immunity – Health linked composite inflammatory biomarkers during pregnancy and postpartum with postpartum anxiety symptoms, but the strongest associations ran in the unexpected direction of lower anxiety risk at highe…
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TL;DR: A 2026 preprint in bioRxiv found that Magnetic Resonance Artificial Intelligence Velocimetry (MR-AIV), a physics-informed AI method for estimating brain fluid transport, produced stable velocity and permeability maps across several modeling stress tests…
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TL;DR: A 2026 computational study in PLOS One used GEO Alzheimer’s datasets, 130 machine-learning models, and molecular simulations to identify eight candidate genes that may sit in a trichostatin A-related Alzheimer’s disease network. Key Findings 949 predict…
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TL;DR: A 2026 systematic review in BMC Medical Informatics and Decision Making found that AI models using remote-monitoring data were most often studied in Parkinson’s disease, but 56 of 76 prospective studies had high risk of bias. Key Findings 6,668 records…
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TL;DR: A 2026 medRxiv preprint found that multivariate resting-state electroencephalography (EEG) network markers separated non-lesional epilepsy from functional/dissociative seizures above chance, but the best model was stronger at identifying epilepsy than a…
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TL;DR: A 2026 study in National Science Open argued that Centaur, an AI model promoted as a simulator of human cognition, could reproduce psychology-test answers while failing a simple instruction-understanding check. Key Findings Centaur was tested as a cogni…
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