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Autism EEG Study Finds 2 Opposite Excitation-Inhibition Subtypes

Photoreal illustration of two opposing brain-network excitability profiles representing distinct autism neurosubtypes.

A 2026 medRxiv preprint did not find one simple autism excitation-inhibition signature. Bertelsen et al. found 2 EEG-derived E:I neurosubtypes in 286 autistic males: a 47% inhibition-dominant subtype with higher Hurst exponent and lower gamma, and a 53% excitation-dominant subtype with the opposite pattern.1 Research Highlights Two subtypes, opposite directions: in 286 autistic males ages …

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Resting EEG Supports Epilepsy More Than Functional Seizures

Photoreal illustration of EEG waveforms over a stylized brain, conveying network-based discrimination between two seizure-like disorders.

A 2026 diagnostic-accuracy preprint found that resting-state EEG network features separated non-lesional epilepsy from functional/dissociative seizures (FDS) at 67.5% balanced accuracy, but the signal was not symmetrical: sensitivity was 81.8% for epilepsy and only 53.3% for FDS.1 In plain clinical terms, the model looked more useful as an epilepsy-supporting marker than as a positive test …

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Lecanemab Clears Amyloid via Microglia and Fc Receptors

Photoreal illustration of microglia clustering around an amyloid plaque, conveying immune-mediated clearance mechanism.

A 2026 Nature Neuroscience study found that lecanemab cleared amyloid in a humanized-microglia Alzheimer’s disease model only when microglia and the antibody’s intact Fc fragment were both present: X-34 plaque area differed across IgG1, lecanemab, and Fc-silenced LALA-PG groups (P = 0.0003), 82E1 plaque area differed across groups (P < 0.0001), and microglia-deficient mice showed …

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Total-Body Tau PET Links Brain-Organ Coupling to Alzheimer’s Cognition

Photoreal illustration of brain with cardiac and respiratory rhythm overlays, conveying brain-body coupling and AD pathology.

A 2026 total-body tau-PET study of 28 people with Alzheimer’s disease and 23 biomarker-negative controls found stronger brain-organ network connectivity in Alzheimer’s disease than in biomarker-negative controls: 35 altered connections, including 21 brain-body edges, plus AD-only links between brain-organ coupling, cortical tau burden, MRI-derived glymphatic markers, and cognition.1 The result is best read as a …

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Post-Stroke Depression Tracks Serotonin-Acetylcholine Damage

Photoreal illustration of stroke lesion with overlapping neurotransmitter network damage, conveying mechanism of post-stroke depression.

A 2026 two-cohort connectome study found that post-stroke depressive symptoms tracked damage to networks weighted by the serotonin transporter and vesicular acetylcholine transporter: 5-HTT damage predicted depression in Leipzig (OR 2.4, 95% CI 1.15–5.02) and Oxford (OR 2.05, 95% CI 1.03–4.09), while VAChT damage also replicated across both cohorts.1 The dopamine part of the original …

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Autism Gene-Expression Study Finds 3 Molecular Subtypes in 1,711 Samples

Photoreal illustration of brain with three highlighted gene-expression patterns showing distinct autism molecular subtypes.

A 2026 RNA-seq analysis of 1,711 autistic probands found 3 gene-expression clusters: 425 people with more severe restricted and repetitive behaviors than the other clusters, 282 with milder symptoms and better adaptive function than the other clusters, and 1,004 with stronger social-communication impairment than the other clusters.1 The supported claim is molecular stratification, not a …

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Emotional Memory fMRI Separates Arousal From Valence

Photoreal illustration of brain with amygdala and prefrontal cortex highlighted, conveying dual-pathway emotional memory mechanism.

A 2026 fMRI study of 1,006 healthy young adults found that emotional pictures were remembered better than neutral pictures, but the brain signal split after arousal was modeled: amygdala and insula effects dropped out, while negative and positive valence kept separate cortical encoding patterns.1 Research Highlights Emotional pictures had the recall advantage: in the full …

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