AGGIORNAMENTO SCIENTIFICO IN TEMPO REALE FORNITO DA:

  • Evaluating Alzheimer's disease with the TMS-EEG perturbation complexity index
    by Brenna Hagan on 23 Gennaio 2026

    The Perturbation Complexity Index-State Transitions (PCI^(ST)) measures the complexity of the brain's response to transcranial magnetic stimulation (TMS) using electroencephalography (EEG) and is sensitive to consciousness, such as minimally conscious states. Individuals with early-stage Alzheimer's disease (AD) show dysfunction of conscious processes, such as attention, working memory, episodic memory, and executive function, with relatively spared unconscious processes, such as procedural...

  • The Accuracy of the PREP2 Prediction Tool for Upper Limb Outcomes After Stroke as Part of Routine Clinical Care
    by Harry Jordan on 23 Gennaio 2026

    BackgroundThe Predict REcovery Potential-2 (PREP2) prediction tool uses clinical assessments and transcranial magnetic stimulation (TMS) within 1 week post-stroke to predict individuals' upper limb functional outcome at 3 months (3M) post-stroke. PREP2 was successfully implemented in clinical care at Auckland City Hospital, New Zealand in 2017.ObjectiveThe primary aim was to evaluate the accuracy of PREP2 predictions made by clinicians during routine clinical care, with a threshold of 70%...

  • A Watershed Algorithm GUI for Personalized fMRI-guided rTMS Target
    by Zi-Jian Feng on 22 Gennaio 2026

    Personalized repetitive transcranial magnetic stimulation (rTMS) increasingly relies on resting-state functional magnetic resonance imaging (fMRI) to select stimulation sites, yet most pipelines depend on user-defined thresholds and atlas masks, which can shift individualized targets. We propose a watershed-based approach, implemented in a graphical user interface, that performs threshold-independent segmentation of functional images to support rTMS target localization. As a proof-of-concept, we...

  • Causal connectivity maps derived from single-pulse interleaved TMS/fMRI
    by Lison Bossus on 22 Gennaio 2026

    Understanding causal interactions between cortical and subcortical brain regions is critical for mapping human functional connectivity. While non-invasive methods such as fMRI and diffusion imaging have provided valuable insights into brain connectivity, these approaches remain correlational and cannot establish causal circuit mechanisms. Here, we aimed to generate reliable causal connectivity maps using interleaved single-pulse transcranial magnetic stimulation with functional MRI (spTMS/fMRI)....

  • "Tapping" into neural inhibition in focal hand dystonia: an evaluation of a finger-tapping task using TMS and fMRI
    by Baothy P Huynh on 19 Gennaio 2026

    CONCLUSION: These findings suggest that individuals with FHD may selectively recruit cerebellar sensorimotor circuits to modulate inhibition during movement of the non-symptomatic hand, though this pattern was not observed during movement of the symptomatic hand. The cerebellum may play a central role in adaptive motor control in FHD. Future work should leverage symptom-inducing tasks and alternative inhibitory markers to further clarify these mechanisms.

  • Investigating the methodological foundation of lesion network mapping
    by Martijn P van den Heuvel on 16 Gennaio 2026

    Lesion network mapping (LNM) is a neuroimaging framework that uses normative functional connectivity (FC) data to link heterogeneous brain lesions and functional alterations to brain networks implicated in neurological and psychiatric conditions. However, many of the networks identified by LNM and related methods appear to be highly similar across diverse conditions such as addiction, depression, psychosis and epilepsy. To understand this similarity, we re-examined the data from multiple LNM...