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Alzheimer’s Progression AI Model Reaches 0.965 mAUC in TADPOLE Dataset

Editorial card showing Alzheimer progression prediction with longitudinal brain scans, model uncertainty, and TADPOLE cohort data.

A 2026 TADPOLE modeling study reported that a sequential neural process with normalizing flows predicted future Alzheimer diagnostic stage with mAUC 0.965 ± 0.006, ahead of the authors’ earlier sequential-neural-process model at 0.937 ± 0.014.1 The result is a strong benchmark signal for uncertainty-aware disease-progression AI, but it is still retrospective modeling evidence rather than …

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Psychiatric Brain Biomarkers Lack Clinical Use: 441-Study Map

Psychiatric brain biomarkers have produced a large research literature but little routine clinical use. A 2026 evidence map found 441 primary studies and 27 systematic reviews of neuroimaging or neurophysiologic biomarkers for mental-health disorders, yet the field still looks too small, cross-sectional, and depression-heavy for ordinary diagnostic or treatment decisions.1 Research Highlights Large map, weak …

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Alzheimer’s AI MRI Diagnosis: ANA-GNN Reaches 85.23% Accuracy in ADNI

MHD featured image for ANA-GNN Alzheimer's AI MRI diagnosis in the ADNI cohort.

A 2026 ADNI study reported 85.23% accuracy for ANA-GNN, a graph neural network that combined structural MRI regional features with clinical variables to classify cognitively normal controls, mild cognitive impairment, and Alzheimer’s disease.1 The result is useful, but the clinical-feature ablation dropped accuracy to 68.35%, so the model should be read as multimodal decision-support research, …

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Dynamic FDG-PET Signal Quality Beats Static PET in Focal Epilepsy

MHD featured image for dynamic FDG-PET signal quality in focal epilepsy neuroimaging.

A 2026 medRxiv study of 30 adults with drug-resistant focal epilepsy found that dynamic FDG-PET had higher model-adjusted signal quality than static PET in most brain regions, including >80% posterior probability of superiority in 29 of 36 regions. Research Highlights Dynamic PET beat static PET: interictal dynamic FDG-PET showed higher signal quality than static PET …

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Striatal Dopamine Drops From Psychosis to Schizophrenia Remission

Photoreal illustration of a brain with the striatum highlighted and dopamine synthesis pathways visualized, representing longitudinal PET imaging in schizophrenia.

The dopamine hypothesis of schizophrenia is the field’s longest-running mechanistic story, and most of its supporting evidence has been cross-sectional. A 2026 longitudinal PET study by Schulz and colleagues followed the same 28 patients across psychosis and early remission.1 Research Highlights The dopamine hypothesis of schizophrenia is the field’s longest-running mechanistic story. Cross-sectional 18F-DOPA PET …

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Ketamine Increases Amygdala Volume in Treatment-Resistant Depression (TRD) (2024 MRI Study)

Depression is a complex mental health condition that significantly affects an individual’s emotional and physical well-being. Recent advances in neuroimaging have provided deeper insights into how major depressive disorder (MDD) alters brain structures, particularly the hippocampus and amygdala, and how treatments like ketamine can potentially reverse these changes. A new study using 3T and 7T …

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Brain Biomarkers in Suicide Attempts: Elevated 5-HT1A Heteroreceptors & Hyperactivity in Superior Temporal Gyrus (2023 Review)

Suicide, a tragic end to around 800,000 lives each year, remains one of the most perplexing and devastating phenomena in mental health. Despite the vast number of studies and data, accurately predicting who is at risk of suicide has remained largely elusive, with current tools heavily reliant on subjective assessments and the clinician’s experience. A …

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