Noninvasive decoding of typed sentences from human brain activity

by Clinical Neuropsychologist Online | Monday, June 29, 2026 | Neuroscience

Nature Neuroscience, Published online: 29 June 2026; doi:10.1038/s41593-026-02303-2Here the authors introduce Brain2Qwerty, a deep learning model that decodes typed sentences from non-invasive brain activity with character error rate down to 18%. This opens a pathway...

Striatal control of amygdalar acetylcholine release during salience-associated processing

by Clinical Neuropsychologist Online | Friday, June 26, 2026 | Neuroscience

Nature Neuroscience, Published online: 26 June 2026; doi:10.1038/s41593-026-02353-6Amygdalar acetylcholine signals dynamically represent salience. Chen et al. show that striatal D1 and D2 neurons oppositely control these signals via basal forebrain cholinergic...

The mitochondrial unfolded protein response in human microglia disrupts neuronal–glial communication and promotes senescence

by Clinical Neuropsychologist Online | Friday, June 26, 2026 | Neuroscience

Nature Neuroscience, Published online: 26 June 2026; doi:10.1038/s41593-026-02320-1Mitochondrial proteotoxic stress rewires methionine and lipid metabolism in human microglia, driving cellular senescence and disrupting neuronal–glial communication, revealing a...

Conditioned accumbal dopamine transients forecast individual preference for drug versus natural rewards and compulsive behavior

by Clinical Neuropsychologist Online | Friday, June 26, 2026 | Neuroscience

Nature Neuroscience, Published online: 26 June 2026; doi:10.1038/s41593-026-02331-yPascoli et al. show that nucleus accumbens dopamine transients evoked by reward-predictive cues encode subjective reward value in mice, predicting individual preference for drugs over...

Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering

by Clinical Neuropsychologist Online | Friday, June 26, 2026 | Neuroscience

Nature Neuroscience, Published online: 26 June 2026; doi:10.1038/s41593-026-02342-9D’Ambrogio et al. combine deep learning and symbolic regression to report an interpretable equation of how humans value information. The equation predicts choices and neural activity in...

Mitochondrial stress response drives microglial senescence

by Clinical Neuropsychologist Online | Friday, June 26, 2026 | Neuroscience

Nature Neuroscience, Published online: 26 June 2026; doi:10.1038/s41593-026-02264-6The mitochondrial unfolded protein response (UPRmt) drives microglial senescence and disrupts essential glia–neuron communication. By triggering lipid droplet accumulation and...