[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"fnirs\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:fnirs":30},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,8,0,[8,54,86,115,138,168,190,213],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":35,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":42,"lastUpdatePostDateStruct":43,"startDateStruct":46,"completionDateStruct":48,"leadSponsor":50,"locationsCount":53},"100628929","dynamic-causal-modeling-of-neuromodulation-of-action-speed-via-targeted-tms-eeg-100628929",false,"NCT07468032","Dynamic Causal Modeling of Neuromodulation of Action Speed Via Targeted TMS-EEG","NAS","Inclusion Criteria:\n\n* The control group consists of individuals who are :\n* neurologically healthy,\n* meaning they do not have any medical conditions that could interfere with cognitive performance or its measurement.\n* not have any contraindications for undergoing MRI scans or TMS, such as epilepsy, which could be triggered by magnetic stimulation.\n* The patient group will include :\n* individuals who have experienced a hemispheric stroke but with specific criteria ( stroke must not have affected key prefrontal regions that are targeted in the study, ensuring that the observed motor slowing is due to network dysfunction rather than direct structural damage to these regions)\n* be free of other cognitive impairments or medical conditions that could confound the study's results.\n\nExclusion Criteria:\n\n* participants with neurological,\n* psychiatric, or general conditions known to alter test performance or cognitive function, according to a previously validated method will be excluded.\n* any contraindication to MRI and TMS (e.g., epilepsy).\n* For stroke patients, the lesion delineated on MRI must spare the prefrontal target structures.",true,"ALL","18 Years",{"count":20,"type":21},80,"ESTIMATED","INTERVENTIONAL",[24],"NA","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.",[27,28,29,30,31,32,33,34],"Temporal Perturbation","Virtual Lesion","EEG","fNIRS","TMS","Stroke Lesions","Action Slowing","Stroke",[36,37,29,30,31,38,39,40],"Temporal perturbation","Virtual lesion","stroke lesions","action slowing","stroke","RECRUITING","2026-03-10",{"date":44,"type":45},"2026-03-12","ACTUAL",{"date":47,"type":45},"2026-01-06",{"date":49,"type":21},"2028-12",{"name":51,"class":52},"Centre Hospitalier Universitaire, Amiens","OTHER",1,{"id":55,"slug":56,"hasResults":11,"nctId":57,"briefTitle":58,"officialTitle":59,"acronym":60,"eligibilityCriteria":61,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":62,"enrollmentInfo":63,"targetDuration":4,"studyType":65,"phases":4,"briefSummary":66,"conditions":67,"keywords":69,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":75,"lastUpdatePostDateStruct":76,"startDateStruct":78,"completionDateStruct":80,"leadSponsor":82,"locationsCount":85},"100615616","prediction-of-response-to-depression-interventions-accelerated-rtms-using-clinical-and-td-fnirs-measurements-100615616","NCT07294924","Prediction of REsponse to Depression Interventions (Accelerated rTMS) Using Clinical and TD-fNIRS Measurements","PREDICT-ACC: Prediction of REsponse to Depression Interventions (Accelerated rTMS) Using Clinical and TD-fNIRS Measurements","PREDICT-ACC","Inclusion Criteria for:\n\nAccelerated TMS cohort\n\n* Adults aged 18-75 at the time of enrollment\n* Primary diagnosis of MDD as defined by the DSM-5\n* Determined by the clinic to be eligible for accelerated rTMS treatment and agrees to receive accelerated rTMS treatment\n* Agrees to start accelerated rTMS treatment in conjunction with study participation to capture baseline measurements\n* Has not received rTMS treatment in the past 1 month\n* Has not received SPRAVATO treatment in the past 1 month\n* Can speak and understand English\n* Ability to provide informed consent\n\nHealthy controls cohort\n\n* Adults aged 18-75 at time of enrollment\n* Can speak and understand English\n* Ability to provide informed consent\n\nExclusion Criteria for:\n\nAll cohorts\n\n* Pregnant or may become pregnant during the treatment course\n* Unable or unwilling to wear the fNIRS headset\n* Has had electroconvulsive therapy (ECT) in the past 3 months\n* Major medical illnesses including neurological and psychiatric conditions such as Alzheimer's disease, Parkinson's disease, multiple sclerosis, epilepsy, schizophrenia, or stroke.\n* Any other clinically significant medical condition that in the opinion of the clinician or study team, could affect patient safety, wellbeing, or the participant's ability to comply with study procedures.\n* Not an appropriate candidate for the study based on the discretion of the study investigator(s).\n\nHealthy controls cohort only\n\n* Clinical diagnosis of depression in the past year\n* Undergoing any treatments for depression in the past year","75 Years",{"count":64,"type":21},100,"OBSERVATIONAL","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.\n\nThis study will use TD-fNIRS to measure hemodynamic brain responses at rest and\u002For 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.",[68,30],"Major Depressive Disorder (MDD)",[70,71,72,73,74],"Accelerated TMS","Healthy Controls","Observational","Longitudinal","Neuroimaging","2025-12-08",{"date":77,"type":45},"2025-12-19",{"date":79,"type":21},"2025-12-15",{"date":81,"type":21},"2026-12-15",{"name":83,"class":84},"Kernel","INDUSTRY",2,{"id":87,"slug":88,"hasResults":11,"nctId":89,"briefTitle":90,"officialTitle":90,"acronym":91,"eligibilityCriteria":92,"healthyVolunteers":16,"sex":17,"minAge":93,"maxAge":4,"enrollmentInfo":94,"targetDuration":4,"studyType":22,"phases":96,"briefSummary":97,"conditions":98,"keywords":4,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":106,"lastUpdatePostDateStruct":107,"startDateStruct":109,"completionDateStruct":111,"leadSponsor":113,"locationsCount":53},"100597159","rural-autistic-individuals---supporting-expression-100597159","NCT07054866","Rural Autistic Individuals - Supporting Expression","RAISE","Inclusion Criteria:\n\n* 1.1 Confirmed (preferably) or suspected diagnosis of ASD (autism spectrum disorder), or a receptive language impairment (i.e., difficulties with comprehension, Developmental Language Disorder), or both. Additional diagnoses, including ADHD (Attention Deficit and Hyperactivity Disorder), are acceptable. Siblings and cousins of these individuals are also welcome.\n\nOR 1.2 No diagnoses of ASD or DLD for unrelated control typically-developing participants.\n\n2\\. Normal hearing and normal vision (or corrected to normal with glasses or contacts).\n\n3\\. Ages 2+. 4. English as the dominant language of caregivers. 5. Caregivers who self-identify as living in a rural area. 6. The ability to verbally or physically respond is optional.\n\nExclusion Criteria:\n\n* 1\\. Poor hearing. 2. Inborn or acquired brain damage.","2 Years",{"count":95,"type":21},50,[24],"This research study investigates how hand gestures can support language comprehension and communication skills of hearing speaking, non-speaking, and\u002For 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.",[99,100,101,102,103,104,74,105,29,30],"Autism Disorder","Language Development Disorders","ADHD","Typical Development","Rural Health","Children","Eye Tracking","2025-07-07",{"date":108,"type":45},"2025-07-10",{"date":110,"type":21},"2025-07",{"date":112,"type":21},"2027-07",{"name":114,"class":52},"Montana State University",{"id":116,"slug":117,"hasResults":11,"nctId":118,"briefTitle":119,"officialTitle":120,"acronym":4,"eligibilityCriteria":121,"healthyVolunteers":11,"sex":17,"minAge":4,"maxAge":4,"enrollmentInfo":122,"targetDuration":4,"studyType":65,"phases":4,"briefSummary":124,"conditions":125,"keywords":4,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":129,"lastUpdatePostDateStruct":130,"startDateStruct":132,"completionDateStruct":134,"leadSponsor":136,"locationsCount":53},"100585738","brain-activity-during-complex-walking-in-people-with-atypical-parkinsonian-syndromes-100585738","NCT06906276","Brain Activity During Complex Walking in People With Atypical Parkinsonian Syndromes","Walking and Thinking - Brain Activity During Complex Walking in Atypical Parkinsonian Syndromes","Inclusion Criteria:\n\n* clinical diagnosis of PSP according to Movement Disorder Society (MDS) (2017) or\n* MSA according to MDS criteria (2022)\n* the ability to walk with or without a mobility device for ≤5 minutes continuously\n\nExclusion Criteria:\n\n* cognitive difficulties affecting the ability to understand and\u002For follow verbal\u002Fwritten - instructions\n* severe freezing of gait\n* Severe hearing or visual impairments that affect participation in the assessments\n* Other neurological diseases\n* Other diseases that can affect gait or balance.",{"count":123,"type":21},30,"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.\n\nThe 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.",[126,127,30,128],"Gait Disorders, Neurologic","Atypical Parkinson Disease","Aging","2025-07-04",{"date":131,"type":45},"2025-07-08",{"date":133,"type":45},"2025-03-14",{"date":135,"type":21},"2027-12-31",{"name":137,"class":52},"Karolinska Institutet",{"id":139,"slug":140,"hasResults":11,"nctId":141,"briefTitle":142,"officialTitle":142,"acronym":143,"eligibilityCriteria":144,"healthyVolunteers":11,"sex":17,"minAge":145,"maxAge":18,"enrollmentInfo":146,"targetDuration":4,"studyType":22,"phases":148,"briefSummary":149,"conditions":150,"keywords":156,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":160,"lastUpdatePostDateStruct":161,"startDateStruct":163,"completionDateStruct":165,"leadSponsor":167,"locationsCount":53},"100471335","multimodal-analysis-of-the-young-brain-on-rhythm-perception-from-premature-neonates-to-infants-100471335","NCT05417542","Multimodal Analysis of the Young Brain on Rhythm Perception: From Premature Neonates to Infants","Exposition","Inclusion Criteria:\n\n* Full term neonates between 28 and 40 weeks Gestational Age\n\nExclusion Criteria:\n\n* Neonates outside the age range","0 Days",{"count":147,"type":21},200,[24],"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",[151,152,29,30,153,154,155],"Time Perception","Rhythm","ERP","Premature Neonates","Discrimination",[157,158,29,30,153,159,155],"Time perception","rhythm","Premature neonates","2025-05-22",{"date":162,"type":45},"2025-05-28",{"date":164,"type":45},"2022-05-31",{"date":166,"type":21},"2029-05",{"name":51,"class":52},{"id":169,"slug":170,"hasResults":11,"nctId":171,"briefTitle":172,"officialTitle":172,"acronym":4,"eligibilityCriteria":173,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":174,"targetDuration":4,"studyType":65,"phases":4,"briefSummary":176,"conditions":177,"keywords":4,"overallStatus":181,"whyStopped":4,"lastUpdateSubmitDate":182,"lastUpdatePostDateStruct":183,"startDateStruct":185,"completionDateStruct":186,"leadSponsor":188,"locationsCount":53},"100585051","comparing-brain-cortical-activity-in-real-and-immersive-virtual-reality-manual-dexterity-tasks-100585051","NCT06897332","Comparing Brain Cortical Activity in Real and Immersive Virtual Reality Manual Dexterity Tasks","Inclusion Criteria:\n\n* Age over 18 years old\n* Normal-to-corrected vision\n* Ability to understand simple instructions\n\nExclusion Criteria:\n\n* History of seizure\n* Recent participation (within the last three months) in a study involving a manual dexterity task in immersive virtual reality\n* Neurologic or orthopaedic pathology potentially affecting upper extremity movement",{"count":175,"type":21},12,"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.\n\nThis study aims to compare brain cortical activity in real and immersive virtual reality settings during a manual dexterity task. Secondary objectives include:\n\n* Examining the relationship between brain cortical activity and kinematics in both conditions.\n* Comparing brain cortical activity between hand-tracking and controller-based interactions.",[178,179,29,30,180],"Brain","Virtual Reality","Manual Dexterity","NOT_YET_RECRUITING","2025-03-20",{"date":184,"type":45},"2025-03-26",{"date":182,"type":21},{"date":187,"type":21},"2025-06-30",{"name":189,"class":52},"Cliniques universitaires Saint-Luc- Université Catholique de Louvain",{"id":191,"slug":192,"hasResults":11,"nctId":193,"briefTitle":194,"officialTitle":194,"acronym":4,"eligibilityCriteria":195,"healthyVolunteers":16,"sex":17,"minAge":196,"maxAge":197,"enrollmentInfo":198,"targetDuration":4,"studyType":65,"phases":4,"briefSummary":200,"conditions":201,"keywords":4,"overallStatus":181,"whyStopped":4,"lastUpdateSubmitDate":204,"lastUpdatePostDateStruct":205,"startDateStruct":207,"completionDateStruct":209,"leadSponsor":211,"locationsCount":4},"100570249","investigation-of-the-possibility-of-determining-cerebrovascular-disease-based-on-hemodynamic-information-of-localized-brain-regions-100570249","NCT06704789","Investigation of the Possibility of Determining Cerebrovascular Disease Based on Hemodynamic Information of Localized Brain Regions","Inclusion Criteria :\n\n1. For Hemorrhagic Stroke Patients :\n\n   * Adults aged between 19 and 80 years.\n   * Diagnosed with hemorrhagic stroke through clinical observation and neuroimaging.\n   * First-time hemorrhagic stroke patients.\n   * Hemorrhagic stroke onset between 2 weeks and 12 months prior to screening.\n   * Hemorrhagic lesion located in the cortex or subcortex.\n   * Not taking medications that could affect brain hemodynamics, such as - antihypertensives, anticoagulants, antiplatelets, or antidepressants.\n   * Able to read and understand the informed consent form and participate in questionnaires with sufficient language proficiency.\n   * Voluntarily agree to participate in the study and provide written consent, with the ability to complete the study duration.\n2. For Ischemic Stroke Patients :\n\n   * Adults aged between 19 and 80 years.\n   * Diagnosed with ischemic stroke through clinical observation and neuroimaging.\n   * First-time ischemic stroke patients.\n   * Ischemic stroke onset between 2 weeks and 12 months prior to screening.\n   * Ischemic lesion located in the cortex or subcortex.\n   * Not taking medications that could affect brain hemodynamics, such as antihypertensives, anticoagulants, antiplatelets, or antidepressants.\n   * Able to read and understand the informed consent form and participate in questionnaires with sufficient language proficiency.\n   * Voluntarily agree to participate in the study and provide written consent, with the ability to complete the study duration.\n3. For Healthy Adults :\n\n   * Adults aged between 19 and 80 years.\n   * No history of stroke or transient ischemic attack (TIA).\n   * No stroke risk factors such as hypertension, diabetes, or hyperlipidemia.\n   * No chronic diseases (e.g., cardiovascular disease, chronic kidney disease, chronic lung disease).\n   * No psychiatric conditions (e.g., depression, schizophrenia).\n   * Not taking medications that could affect brain hemodynamics, such as antihypertensives, anticoagulants, antiplatelets, or antidepressants.\n   * Able to read and understand the informed consent form and participate in questionnaires with sufficient language proficiency.\n   * Voluntarily agree to participate in the study and provide written consent, with the ability to complete the study duration.\n\nExclusion Criteria :\n\n* History of head trauma in the past 6 months.\n* Ongoing severe chronic diseases (e.g., heart failure, chronic kidney disease, chronic lung disease).\n* Severe psychiatric disorders such as schizophrenia, major depression, or bipolar disorder.\n* Use of medications that could influence brain hemodynamics (e.g., antihypertensives, anticoagulants, antiplatelets, or antidepressants).\n* Participation in a study and use of experimental drugs within the past 30 days.\n* Pregnant or breastfeeding women.\n* Major surgery in the past 6 months.\n* Acute infections or inflammatory diseases.\n* Cognitive impairment or dementia.\n* Neurological disorders.\n* Inability to understand the study procedures or unwillingness to provide voluntary consent.\n* Any other clinical concerns deemed inappropriate for participation by the principal investigator or study team.","19 Years","80 Years",{"count":199,"type":21},90,"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.",[29,202,34,203],"FNIRS","Normal","2024-11-21",{"date":206,"type":45},"2024-11-26",{"date":208,"type":21},"2024-12-01",{"date":210,"type":21},"2025-12-31",{"name":212,"class":52},"Pusan National University Yangsan Hospital",{"id":214,"slug":215,"hasResults":11,"nctId":216,"briefTitle":217,"officialTitle":217,"acronym":4,"eligibilityCriteria":218,"healthyVolunteers":16,"sex":17,"minAge":196,"maxAge":197,"enrollmentInfo":219,"targetDuration":4,"studyType":65,"phases":4,"briefSummary":221,"conditions":222,"keywords":4,"overallStatus":181,"whyStopped":4,"lastUpdateSubmitDate":223,"lastUpdatePostDateStruct":224,"startDateStruct":226,"completionDateStruct":227,"leadSponsor":228,"locationsCount":4},"100570012","exploratory-study-on-artifact-denoising-of-cerebral-blood-flow-and-eeg-data-in-ambulance-settings-100570012","NCT06701708","Exploratory Study on Artifact Denoising of Cerebral Blood Flow and EEG Data in Ambulance Settings","Inclusion Criteria:\n\n* Healthy adults aged 19 to 80 years.\n* Individuals without chronic diseases (e.g., Stage 2 hypertension, cardiovascular disease, chronic kidney disease, chronic pulmonary disease, etc.).\n* Individuals without mental health disorders (e.g., depression, schizophrenia, etc.).\n* Individuals not taking medications that could affect cerebral hemodynamics, such as antihypertensives, anticoagulants, antiplatelets, antidepressants, etc.\n\nIndividuals who can read and understand the participant information and consent form and have sufficient language ability to respond to questionnaires.\n\n\\- Individuals who voluntarily decide to participate in the clinical study, provide written consent on the participant consent form, and are able to participate throughout the entire duration of the clinical study.\n\nExclusion Criteria:\n\n* Individuals who have experienced head trauma in the past 6 months.\n* Individuals with ongoing severe chronic diseases (e.g., heart failure, chronic kidney disease, chronic pulmonary disease, etc.).\n* Individuals with severe mental health disorders such as schizophrenia, severe depression, bipolar disorder, etc.\n* Individuals currently taking medications that may affect the study (e.g., antihypertensives, anticoagulants, antiplatelets, antidepressants, etc.).\n* Individuals who have participated in a clinical trial and taken experimental drugs within the past 30 days.\n* Women who are pregnant or breastfeeding.\n* Individuals who have undergone major surgery in the past 6 months.\n* Individuals with acute infections or inflammatory diseases.\n* Individuals with cognitive impairment or dementia.\n* Individuals with neurological disorders.\n* Individuals who lack understanding of the study procedures or who have not voluntarily consented to participate.\n* Individuals with clinically significant findings that the study principal investigator or responsible medical personnel determines to be inappropriate for participation in this study.",{"count":220,"type":21},20,"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.",[203,29,202],"2024-11-20",{"date":225,"type":45},"2024-11-22",{"date":208,"type":21},{"date":210,"type":21},{"name":212,"class":52}]