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Basgaran et al. report gut microbiome diversity linked to Alzheimer’s disease incidence, with species like E. coli and Akkermansia showing protective effects. Machine learning predicts disease risk. Please read at: buff.ly/QdocWpe

Kremen et al. report that low-frequency ANT-DBS shows greater seizure reduction, improved sleep, and memory in temporal lobe epilepsy, suggesting potential for optimised neuromodulation therapy. Please read at: buff.ly/sBgZwrH

Imokawa et al. report that machine learning reveals two myotonic dystrophy type 1 brain atrophy subtypes - cortical and subcortical, linked to cognitive decline and brain development. Please read at: buff.ly/f1Mfn1K

McKay et al. report that increased healthcare use 1–10 years before pediatric-onset MS suggests a prodromal phase, with ill-defined symptoms and skin issues prevalent. Please read at: buff.ly/kMp6Lng

Chamoun et al. report that high-sensitive cardiac troponin T (hs-cTnT) in ALS patients correlates with lower motor neuron involvement on EMG and disease spread. Please read at: buff.ly/XytKPdY

Thielen et al. report that post-stroke sensory hypersensitivity links to lesions in the putamen, thalamus, amygdala, insula, and related white matter tracts. Please read at: buff.ly/Lybj1Xo

Zhang et al. report that cerebellar and corticospinal white matter integrity predicts aphasia severity post-stroke, revealing new biomarkers for language recovery. Please read at:buff.ly/C4nT9Qh

Jerele et al. report on the potential of the Cholinergic Pathway Hyperintensities Scale (CHIPS) to identify cholinergic white matter damage in Lewy body dementia, linked to frontal atrophy and vascular health. Please read at: buff.ly/vDYXTZz

Prochnow et al. report that Gilles de la Tourette Syndrome patients show stronger theta but weaker alpha activity during response inhibition, revealing disrupted perception-action processes. Please read at: buff.ly/fYtb526

Strik et al. report that visual snow patients show altered brain connectivity, with stronger cortical links but weaker connections to deep grey matter, tied to symptom disruptiveness. Please read at: buff.ly/BXOLHqS

Marchiotto et al. report that combining A-tDCS with physical activity enhances motor cortex plasticity in mice, boosting neuron activation, connectivity, and spine density. Please read at: buff.ly/6e0lEc9

Sakiyama et al. report that metagenomic next-generation sequencing (mNGS) on brain tissue improves diagnosis of CNS diseases, identifying pathogens in 21.2% and ruling out infection in 42.4% of cases. Please read at: buff.ly/YkXzG0O

Basgaran et al. reported that in countries with high Alzheimer’s disease (AD) incidence, the composition of gut microbiome significantly differs. Using machine learning, they predicted population incidence of AD based on gut microbiome profile. Read at: buff.ly/F45d3QD.

Scotton et al. use machine learning to identify subtypes of atrophy progression in corticobasal syndrome, correlated with underlying pathologies. This has important implications for clinical trials and tracking disease progression. Read at: buff.ly/Cpf7RSr.

Cognitive decline can affect individuals with drug-resistant epilepsy. Akel et al. examined blood–brain injury biomarker levels, such as neurofilament light and glial fibrillary acidic protein, and found higher levels in drug-resistant epilepsy. Read at buff.ly/OkYNw6D .

Almeida e Sousa et al. report that although lacking direct genetic correlation, Alzheimer’s disease and schizophrenia are genetically correlated with loneliness and socioeconomic-related risk factors. Read at buff.ly/r2ZdQJQ.

Retrospective data analysis of ALS patients by Wölfel et al. evaluates prognostic biomarkers and cognition and behavioural abnormality factors. Tau remains relevant; thiamine levels emerge as a potential prognostic marker and therapeutic target. Read at buff.ly/topHhAN.

Cowman et al. report that females outperform males on story and proper name recall in cognitively unimpaired adults at risk for Alzheimer's disease. While amyloid positivity predicts faster decline on both measures, sex is not a moderator. Read at buff.ly/RucgVIo.

Choi et al. develop a multimodal deep learning model to predict CNS inflammation prognosis using brain MRI and clinical data. The model outperformed unimodal models and clinical experts, enhancing clinical decision-making for CNS inflammation. Read at buff.ly/9irfmBz .

Liang et al. report that cardiovascular factors influence brain structure and function; blood pressure specifically impacts stroke phenotypes. This highlights potential non-vascular stroke mechanisms and early identification and prevention avenues. Read at buff.ly/rSb9ixt