A 2022 Nature Communications study used non-contrast 3D T2-FLAIR magnetic resonance imaging (MRI) to map human brain lymphatic signals in living people, including apparent channels from cranial nerves and skull-base structures toward cervical lymph nodes. Research Highlights Non-contrast MRI visualized lymphatic-like brain drainage: Albayram et al. identified dorsal dural signals near venous sinuses and ventral …
A 2026 quantitative MRI preprint reanalyzed 138 healthy adults and found that multivariate modeling detected coordinated age-related shifts across myelin-sensitive, iron-sensitive, and water-sensitive brain maps.1 The signal was broad, but split-half validation weakened the result enough to keep it in the measurement-method lane rather than the clinical-test lane. Research Highlights 138 adults were reanalyzed: The …
A 2026 ENIGMA structural MRI preprint involving 3,958 people diagnosed with schizophrenia and 5,489 controls found 2 cortical-alteration subtypes rather than 1 uniform brain pattern.1 The result maps heterogeneity: anterior-cingulate and temporoparietal network patterns may separate patients, but the result is not a diagnostic MRI test. Research Highlights Large MRI base: The analysis included 3,958 …
A 2026 systematic review argues that catatonia should be read as a limbic-cortical circuit syndrome, with motor shutdown tied to brain systems for threat, salience, motivation, and emotional regulation. Research Highlights 20 studies met criteria: the 2026 review screened 1,792 records, assessed 54 full texts, and included 20 articles: 13 observational studies and 7 case …
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 …
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 …
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, …