TL;DR: A 2026 medRxiv preprint reported that bedside 64 mT portable MRI scans from ECMO patients could support brain-volume analysis, with segmented volumes broadly comparable to conventional MRI and low-field MRI scans without ECMO equipment. Key Findings 30 ECMO scans: The volumetric pipeline analyzed T2-weighted portable MRI scans from 30 patients receiving extracorporeal membrane oxygenation. …
TL;DR: A 2026 study in Scientific Reports reported that NeXtSwin-X, a dual-branch AI model combining ConvNeXt and Swin Transformer features, achieved strong brain tumor classification performance across eight public MRI and CT datasets after only 10 training epochs. Key Findings Eight imaging datasets: The model was evaluated on eight public brain tumor MRI and CT …
TL;DR: A 2026 electroencephalography (EEG) study in Cognitive, Affective, & Behavioral Neuroscience found that observers’ empathy-for-pain ratings and physiological coupling stayed similar whether they watched another person receive painful stimulation through a live video call or a prerecorded video, although live interaction produced an earlier frontal theta brain response. Key Findings 35 observers tested: Researchers …
TL;DR: A 2026 study in PLOS One reported that an artificial intelligence model combining enhanced graph attention with bidirectional long short-term memory classified emotion from text, speech, facial cues, and video benchmarks with its strongest performance on the CMU-MOSEI multimodal dataset. Key Findings Three benchmark datasets: The model was tested on SemEval-2018 text, RAVDESS speech-and-face …
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 at identifying functional/dissociative seizures. Key Findings 148 suspected seizure cases: Researchers analyzed medication-free, visually normal, eyes-closed EEG recordings from 75 people later diagnosed with …
TL;DR: A 2026 conceptual paper in Integrative Psychological and Behavioral Science argued that heavy reliance on AI-generated language can create “Protein Shake Brain,” a state where thoughts are fluent and available but not fully owned by the person using them. Key Findings Protein Shake Brain is a proposed cultural-psychological label for AI-assisted thinking that feels …
TL;DR: A 2026 medRxiv preprint enrolled 177 adults with migraine in a 30-day smartphone study and found that daily cognition and symptom check-ins were feasible, with 3,688 completed assessments and higher baseline burden in chronic migraine. Key Findings Migraine cohort: The MIND study followed 177 adults with migraine using once-daily smartphone surveys and brief mobile …
TL;DR: A network model in Communications Physics (2026) found that Hebbian learning, the familiar “fire together, wire together” rule, trapped activity in old routes, while anti-Hebbian weakening helped activity reach new areas. Key Findings Positive reinforcement trapped activity: when successful activation made the same link more likely to be used again, activity tended to circle …
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 cognition simulator: the earlier model reportedly performed well across 160 psychology tasks, including decision-making and executive-control experiments. …
TL;DR: A 2026 Scientific Reports study reported that machine learning models classified brain tumor MRI images across four categories with high internal accuracy, led by a convolutional neural network at 99.29% on a single public dataset. Key Findings 7,023 MRI images: Researchers trained and tested models on 7,023 brain MRI images from a publicly available …
