Brain Stimulation最新文献

{"title":"Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time","authors":"Uttara U. Khatri ,&nbsp;Kristen Pulliam ,&nbsp;Muskan Manesiya ,&nbsp;Melanie Vieyra Cortez ,&nbsp;José del R. Millán ,&nbsp;Sara J. Hussain","doi":"10.1016/j.brs.2024.12.1193","DOIUrl":"10.1016/j.brs.2024.12.1193","url":null,"abstract":"<div><h3>Background</h3><div>Transcranial magnetic stimulation (TMS) interventions could feasibly treat stroke-related motor impairments, but their effects are highly variable. Brain state-dependent TMS approaches are a promising solution to this problem, but inter-individual variation in lesion location and oscillatory dynamics can make translating them to the poststroke brain challenging. Personalized brain state-dependent approaches specifically designed to address these challenges are needed.</div></div><div><h3>Methods</h3><div>As a first step towards this goal, we tested a novel machine learning-based EEG-TMS system that identifies personalized brain activity patterns reflecting strong and weak corticospinal tract (CST) activation (strong and weak CST states) in healthy adults in real-time. Participants completed a single-session study that included the acquisition of a TMS-EEG-EMG training dataset, personalized classifier training, and real-time EEG-informed single-pulse TMS during classifier-predicted personalized CST states.</div></div><div><h3>Results</h3><div>MEP amplitudes elicited in real-time during classifier-predicted personalized strong CST states were significantly larger than those elicited during corresponding weak and random CST states. MEP amplitudes elicited in real-time during classifier-predicted personalized strong CST states were also significantly less variable than those elicited during corresponding weak CST states. Personalized CST states lasted for ∼1–2 s at a time and ∼1 s elapsed between consecutive similar states. Individual participants exhibited unique differences in spectro-spatial EEG patterns between classifier-predicted personalized strong and weak CST states.</div></div><div><h3>Conclusion</h3><div>Our results show for the first time that personalized whole-brain EEG activity patterns predict CST activation in real-time in healthy humans. These findings represent a pivotal step towards using personalized brain state-dependent TMS interventions to promote poststroke CST function.</div></div>","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Pages 64-76"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing cortical and subcortical excitability changes with interleaved TMS-fMRI","authors":"Martin Tik","doi":"10.1016/j.brs.2024.12.008","DOIUrl":"10.1016/j.brs.2024.12.008","url":null,"abstract":"","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Page 216"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping primary motor cortex excitability by TMS-EEG/EMG integration","authors":"Elisa Kallioniemi ,&nbsp;Sara Määttä ,&nbsp;Laura Säisänen ,&nbsp;Jelena Hyppönen ,&nbsp;Päivi Koskenkorva ,&nbsp;Jukka Saari ,&nbsp;Negar Namdar","doi":"10.1016/j.brs.2024.12.009","DOIUrl":"10.1016/j.brs.2024.12.009","url":null,"abstract":"","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Pages 216-217"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Results From A One-Year, Randomized, Sham-Controlled Trial of Vagus Nerve Stimulation In Patients With Treatment-Resistant Depression","authors":"Charles Conway","doi":"10.1016/j.brs.2024.12.075","DOIUrl":"10.1016/j.brs.2024.12.075","url":null,"abstract":"","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Page 238"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Review of VNS Research and Clinical Findings Up to the Present","authors":"Mark George","doi":"10.1016/j.brs.2024.12.073","DOIUrl":"10.1016/j.brs.2024.12.073","url":null,"abstract":"","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Page 237"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrophysiological investigation of temporal interference brain stimulation","authors":"Xiaoqi Zhu ,&nbsp;Liang Zheng ,&nbsp;Jonathan Howard ,&nbsp;Birui Li ,&nbsp;Garrido Maria Garcia ,&nbsp;Liang Huang ,&nbsp;Yanlong Zhang ,&nbsp;Long Li ,&nbsp;Nir Grossman ,&nbsp;Tian Liu","doi":"10.1016/j.brs.2024.12.019","DOIUrl":"10.1016/j.brs.2024.12.019","url":null,"abstract":"","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Pages 219-220"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Individualised dosing for prefrontal TMS using EEG","authors":"Vivien Czapla,&nbsp;Adriano Moffa,&nbsp;Roger Li,&nbsp;Donel Martin,&nbsp;Echo Xu,&nbsp;Xiaomin Xu,&nbsp;Yon Su,&nbsp;Ho Fung Chan,&nbsp;Stevan Nikolin","doi":"10.1016/j.brs.2024.12.030","DOIUrl":"10.1016/j.brs.2024.12.030","url":null,"abstract":"","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Page 223"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast Depressive Symptom Improvement in Bipolar Disorder Type 1 after Stanford Accelerated Intelligent Neuromodulation Therapy: A Two-Site Feasibility and Safety Open Label Trial","authors":"Jorge Almeida ,&nbsp;Jennifer Siegel-Ramsay ,&nbsp;Irving Reti ,&nbsp;Nolan Williams ,&nbsp;Brandon Bentzley ,&nbsp;Kevin Li ,&nbsp;Caitlin DuPont ,&nbsp;Amy Bichlmeier ,&nbsp;Alexa Comfort ,&nbsp;Peter Zandi","doi":"10.1016/j.brs.2024.12.045","DOIUrl":"10.1016/j.brs.2024.12.045","url":null,"abstract":"","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Page 228"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Virtual human retina: Simulating neural signalling, degeneration, and responses to electrical stimulation","authors":"Keith Ly ,&nbsp;Michael L. Italiano ,&nbsp;Mohit N. Shivdasani ,&nbsp;David Tsai ,&nbsp;Jia-Yi Zhang ,&nbsp;Chunhui Jiang ,&nbsp;Nigel H. Lovell ,&nbsp;Socrates Dokos ,&nbsp;Tianruo Guo","doi":"10.1016/j.brs.2025.01.013","DOIUrl":"10.1016/j.brs.2025.01.013","url":null,"abstract":"<div><h3>Introduction</h3><div>Current brain-based visual prostheses pose significant challenges impeding adoption such as the necessarily complex surgeries and occurrence of more substantial side effects due to the sensitivity of the brain. This has led to much effort toward vision restoration being focused on the more approachable part of the brain - the retina. Here we introduce a novel, parameterised simulation platform that enables study of human retinal degeneration and optimization of stimulation strategies. The platform bears immense potential for patient-specific tailoring and serves to enhance artificial vision solutions for individuals with visual impairments.</div></div><div><h3>Material and method</h3><div>Our virtual retina is developed using the software package, NEURON. This virtual retina platform supports large-scale simulations of over 10,000 neurons whilst upholding strong biological plausibility with multiple important visual pathways and detailed network properties. The comprehensive three-dimensional model includes photoreceptors, horizontal cells, bipolar cells, amacrine cells, and midget and parasol retinal ganglion cells, with comprehensive network connectivity across various eccentricities (1 mm–5 mm from the fovea) in the human retina. The model is constructed using electrophysiology, immunohistology, and optical coherence tomography imaging data from healthy and degenerate human retinas. We validated our model by replicating numerous experimental observations from human and primate retina, with a particular focus on retinal degeneration.</div></div><div><h3>Result</h3><div>We simulated interactions between diseased retinas and state-of-the-art retinal implants, shedding light on the limitations of commercial retinal prostheses. Our results suggested that appropriate stimulation settings with intraretinal prototype devices could leverage network-mediated activation to achieve activation mosaics more alike that of the retina's response to natural light, promoting the prospect of more naturalistic vision. Our study additionally highlights the importance of controlling inhibitory circuits in the retinal network to induce functionally relevant retinal activity.</div></div><div><h3>Conclusion</h3><div>This study demonstrates the potential of this software package and highlights its utility as a valuable tool for engineers, scientists, and clinicians in the design and optimization of retinal stimulation devices for both research and educational applications.</div></div>","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Pages 144-163"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143000410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal Complexity as a Biomarker for Antidepressant Response: Insights from the Distance-Scaled Complexity Index (DSCI) in Stanford Neuromodulation Therapy","authors":"Andrew Geoly ,&nbsp;Afik Faerman ,&nbsp;Ian Kratter ,&nbsp;John Coetzee ,&nbsp;Cammie Rolle ,&nbsp;Manish Saggar","doi":"10.1016/j.brs.2024.12.048","DOIUrl":"10.1016/j.brs.2024.12.048","url":null,"abstract":"","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Pages 229-230"},"PeriodicalIF":7.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}