fNIRS

Stroke is a major cause of long-term disability, with cognitive and motor deficits-especially action slowing and executive dysfunction-being strong predictors of poor recovery outcomes. Recent advances in network neuroscience suggest that action speed is governed by interactions between specific prefrontal and premotor regions. However, the precise neural mechanisms underlying action slowing in stroke remain unclear, limiting the efficacy of current rehabilitation approaches. This study integrates high-density EEG, fNIRS and dynamic causal modeling (DCM), and rTMS to map and modulate the neural circuits involved in action speed. In the first phase, we will assess the role of seven key brain regions in action speed modulation by applying virtual lesions using single-pulse TMS in 60 healthy individuals. In the second phase, we will apply offline intermittent theta burst stimulation (iTBS) to the most relevant regions and evaluate its impact on action speed. Finally, in the clinical phase, we will administer individualized iTBS to 20 stroke patients to enhance action speed. Patients will be assessed at baseline, immediately post-treatment, and after one and three months to track improvements in action speed using DCM and behavioral tests. Changes in connectivity and action speed performance will be compared to healthy controls to refine treatment parameters. Secondary outcomes include executive function and daily life motor performance. Longitudinal follow-up will determine the persistence of improvements, informing future personalized rehabilitation strategies. By characterizing effective connectivity changes post-stroke, we aim to refine neuromodulation strategies and develop a personalized rTMS approach. Our hypothesis is that targeting specific regions identified through integration of EEG, fNIRS and DCM can enhance action speed, ultimately improving functional recovery. This personalized approach could lead to more effective rehabilitation protocols, tailored to individual brain damage patterns.

This observational, longitudinal, multi-cohort study aims to evaluate functional brain activity in adults undergoing treatment for Major Depressive Disorder (MDD) at participating clinical sites. A separate cohort of healthy adults will be enrolled as a control group. All data collected in this study are for research purposes only and will not influence clinical decision-making or treatment plans. This study will use TD-fNIRS to measure hemodynamic brain responses at rest and/or during tasks in patients receiving accelerated transcranial magnetic stimulation (TMS). Imaging will occur at multiple timepoints (pre-treatment, post-treatment, and follow-ups). Healthy control participants will complete similar measurements at one visit, with the option for a follow-up visit. The primary objectives are to assess feasibility, characterize brain activity patterns, and explore potential biomarkers associated with treatment response.

This research study investigates how hand gestures can support language comprehension and communication skills of hearing speaking, non-speaking, and/or minimally verbal individuals with Autism Spectrum Disorders (ASD), who are especially disadvantaged by the lack of accessible services in their rural communities. Individuals with other cognitive profiles, including Developmental Language Disorder (DLD), ADHD, Dyslexia, and others are welcome too. The study uses methods of eye tracking and recording of brain activity to understand how hand gestures adapted from signs from American Sign Language, such as \[cry\], can promote successful understanding of words like "cry". The overarching goal is to help families effectively utilize gestures to support communication with their children.

Every-day life means being part of a complex environment and performing complex tasks that usually involve a combination of motor and cognitive skills. However, the process of aging or the sequelae of neurological diseases such as atypical Parkinson's disease (APD) compromises motor-cognitive interaction necessary for an independent lifestyle. While motor-cognitive performance has been identified as an important goal for sustained health across different clinical populations, little is known about underlying brain function leading to these difficulties and how to best target these motor-cognitive difficulties in the context of rehabilitation and exercise interventions. The challenge of improving treatments of motor-cognitive difficulties (such as dual-tasking and navigation) is daunting, and an important step is arriving at a method that accurately portrays these impairments in an ecologically valid state. The investigators aim therefore to explore brain function during complex walking in healthy and APD by investigating the effects of age and neurological disease on motor-cognitive performance and its neural correlates during three conditions of complex walking (dual-task walking, navigation and a combination of both) using non-invasive measures of brain activity (functional near infrared spectrometry, fNIRS) and advanced gait analysis in real time in older healthy adults and people with APD.

Premature neonates are able to discriminate phonemes and voice from 28wGA at a time the neuronal network establish contact between the environment and the cortical neurones. In the present monocentric study the investigators will analyse the response of the cortical network in premature aged between 28 and 40 wGA in response to auditory stimuli using High Resolution Electroencephalography and High Density Near Infrared Spectroscopy

With advances in technology, virtual reality (VR) is increasingly used in various fields, including rehabilitation, motor learning, and neuroscience. Its ability to provide controlled, immersive, and interactive environments makes it a valuable tool for training and assessment. However, despite its growing adoption, limited evidence exists on how cortical activation in VR compares to real-world conditions. Moreover, brain cortical activity during motor tasks, such as manual dexterity tasks, remains underexplored. This study aims to compare brain cortical activity in real and immersive virtual reality settings during a manual dexterity task. Secondary objectives include: * Examining the relationship between brain cortical activity and kinematics in both conditions. * Comparing brain cortical activity between hand-tracking and controller-based interactions.

The purpose of this study is to compare hemodynamic information from localized brain regions between stroke patients and healthy adults using brain activity data (fNIRS and EEG) and to assess the accuracy of early stroke diagnosis and classification predictions.

The purpose is to assess the extent of digital noise occurring during the measurement of cerebral blood flow and EEG in healthy adults within an ambulance setting and to explore the possibility of identifying and correcting abnormal patterns.