Sweden

Researchers at Sapienza University of Rome had 20 healthy young adults complete 10 consecutive blocks of finger tapping, then used transcranial magnetic stimulation (TMS) to track motor cortex excitability over the following 60 minutes. Excitability rose after the fatiguing task and drifted back to baseline, and participants whose tapping slowed most showed the largest increases. The findings were published in Clinical Neurophysiology on August 25, 2026, and the authors say they offer a framework for studying altered compensatory responses in neurological disorders.

A study of 20 healthy participants who trained self-regulation of four cortical rhythms — frontal midline theta, occipital alpha, unilateral central-temporal sensorimotor rhythm, and central beta — across four neurofeedback sessions found that all could regulate at least two features, but none could regulate frontal midline theta. The authors argue this shows 'non-learners' is not a personal trait that generalizes across features, informing future neurofeedback and BCI training protocol design.

A preprint uses the Adaptive Thinking Mapper (ATM) model to empirically assess how EEG preprocessing strategies — a baseline MVNN-only pipeline versus a full cleaning pipeline integrating ICA and notch filtering — affect channel-attention representations in visual EEG decoding, using cross-generalization, noise-robustness, and spectro-temporal ablation analyses and examining the structural correspondence between data-driven attention weights and neurophysiological reference networks (GPDC, PDC, DTF). The researchers report the full pipeline suppressed non-neural artifacts such as frontal noise while maintaining comparable decoding accuracy and baseline robustness, and the learned attention spatial organization stayed stable across pipelines. The work has not been peer reviewed.