Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants

Autores
Merk, Timon; Köhler, Richard M.; Brotons, Toni M.; Vossberg, Samed Rouven; Peterson, Victoria; Lyra, Laura Freire; Vanhoecke, Jojo; Chikermane, Meera; Binns, Thomas S.; Li, Ningfei; Walton, Ashley; Neudorfer, Clemens; Bush, Alan; Sisterson, Nathan; Busch, Johannes; Lofredi, Roxanne; Habets, Jeroen; Huebl, Julius; Zhu, Guanyu; Yin, Zixiao; Zhao, Baotian; Merkl, Angela; Bajbouj, Malek; Krause, Patricia; Faust, Katharina; Schneider, Gerd-Helge; Horn, Andreas; Zhang, Jianguo; Kühn, Andrea A.; Mark Richardson, R.; Neumann, Wolf Julian
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Brain–computer interface research can inspire closed-loop neuromodulation therapies, promising spatiotemporal precision for the treatment of brain disorders. Decoding dynamic patient states from brain signals with machine learning is required to leverage this precision, but a standardized framework for invasive brain signal decoding from neural implants does not exist. Here we develop a platform that integrates brain signal decoding with magnetic resonance imaging connectomics and demonstrate its use across 123 h of invasively recorded brain data from 73 neurosurgical patients treated with brain implants for movement disorders, depression and epilepsy. We introduce connectomics-informed movement decoders that generalize across cohorts with Parkinson’s disease and epilepsy from the United States, Europe and China. We reveal network targets for emotion decoding in left prefrontal and cingulate circuits in deep brain stimulation patients with major depression. Finally, we showcase opportunities to improve seizure detection in responsive neurostimulation for epilepsy. Our study highlights the clinical use of brain signal decoding for deep brain stimulation and provides methods that allow for rapid, high-accuracy decoding for precision medicine approaches that can dynamically adapt neurotherapies in response to the individual needs of patients.
Fil: Merk, Timon. Charité Universitätsmedizin Berlin; Alemania
Fil: Köhler, Richard M.. No especifíca;
Fil: Brotons, Toni M.. No especifíca;
Fil: Vossberg, Samed Rouven. Charité Universitätsmedizin Berlin; Alemania
Fil: Peterson, Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentina
Fil: Lyra, Laura Freire. No especifíca;
Fil: Vanhoecke, Jojo. No especifíca;
Fil: Chikermane, Meera. No especifíca;
Fil: Binns, Thomas S.. No especifíca;
Fil: Li, Ningfei. No especifíca;
Fil: Walton, Ashley. Massachusetts General Hospital; Estados Unidos
Fil: Neudorfer, Clemens. Massachusetts General Hospital; Estados Unidos
Fil: Bush, Alan. Massachusetts General Hospital; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sisterson, Nathan. Massachusetts General Hospital; Estados Unidos
Fil: Busch, Johannes. Charité Universitätsmedizin Berlin; Alemania
Fil: Lofredi, Roxanne. Charité Universitätsmedizin Berlin; Alemania
Fil: Habets, Jeroen. Charité Universitätsmedizin Berlin; Alemania
Fil: Huebl, Julius. Charité Universitätsmedizin Berlin; Alemania
Fil: Zhu, Guanyu. No especifíca;
Fil: Yin, Zixiao. No especifíca;
Fil: Zhao, Baotian. No especifíca;
Fil: Merkl, Angela. Charité Universitätsmedizin Berlin; Alemania
Fil: Bajbouj, Malek. No especifíca;
Fil: Krause, Patricia. No especifíca;
Fil: Faust, Katharina. Charité Universitätsmedizin Berlin; Alemania
Fil: Schneider, Gerd-Helge. Charité Universitätsmedizin Berlin; Alemania
Fil: Horn, Andreas. Massachusetts General Hospital; Estados Unidos
Fil: Zhang, Jianguo. Department Of Neurosurgery, Beijing Tiantan Hospital; Chipre
Fil: Kühn, Andrea A.. Charité Universitätsmedizin Berlin; Alemania
Fil: Mark Richardson, R.. No especifíca;
Fil: Neumann, Wolf Julian. Charité Universitätsmedizin Berlin; Alemania
Materia
MOVEMENT DISORDERS
NEURAL DECODING
BRAIN IMPANTS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/292023
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implantsMerk, TimonKöhler, Richard M.Brotons, Toni M.Vossberg, Samed RouvenPeterson, VictoriaLyra, Laura FreireVanhoecke, JojoChikermane, MeeraBinns, Thomas S.Li, NingfeiWalton, AshleyNeudorfer, ClemensBush, AlanSisterson, NathanBusch, JohannesLofredi, RoxanneHabets, JeroenHuebl, JuliusZhu, GuanyuYin, ZixiaoZhao, BaotianMerkl, AngelaBajbouj, MalekKrause, PatriciaFaust, KatharinaSchneider, Gerd-HelgeHorn, AndreasZhang, JianguoKühn, Andrea A.Mark Richardson, R.Neumann, Wolf JulianMOVEMENT DISORDERSNEURAL DECODINGBRAIN IMPANTShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1https://purl.org/becyt/ford/2.6https://purl.org/becyt/ford/2https://purl.org/becyt/ford/1.7https://purl.org/becyt/ford/1Brain–computer interface research can inspire closed-loop neuromodulation therapies, promising spatiotemporal precision for the treatment of brain disorders. Decoding dynamic patient states from brain signals with machine learning is required to leverage this precision, but a standardized framework for invasive brain signal decoding from neural implants does not exist. Here we develop a platform that integrates brain signal decoding with magnetic resonance imaging connectomics and demonstrate its use across 123 h of invasively recorded brain data from 73 neurosurgical patients treated with brain implants for movement disorders, depression and epilepsy. We introduce connectomics-informed movement decoders that generalize across cohorts with Parkinson’s disease and epilepsy from the United States, Europe and China. We reveal network targets for emotion decoding in left prefrontal and cingulate circuits in deep brain stimulation patients with major depression. Finally, we showcase opportunities to improve seizure detection in responsive neurostimulation for epilepsy. Our study highlights the clinical use of brain signal decoding for deep brain stimulation and provides methods that allow for rapid, high-accuracy decoding for precision medicine approaches that can dynamically adapt neurotherapies in response to the individual needs of patients.Fil: Merk, Timon. Charité Universitätsmedizin Berlin; AlemaniaFil: Köhler, Richard M.. No especifíca;Fil: Brotons, Toni M.. No especifíca;Fil: Vossberg, Samed Rouven. Charité Universitätsmedizin Berlin; AlemaniaFil: Peterson, Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; ArgentinaFil: Lyra, Laura Freire. No especifíca;Fil: Vanhoecke, Jojo. No especifíca;Fil: Chikermane, Meera. No especifíca;Fil: Binns, Thomas S.. No especifíca;Fil: Li, Ningfei. No especifíca;Fil: Walton, Ashley. Massachusetts General Hospital; Estados UnidosFil: Neudorfer, Clemens. Massachusetts General Hospital; Estados UnidosFil: Bush, Alan. Massachusetts General Hospital; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sisterson, Nathan. Massachusetts General Hospital; Estados UnidosFil: Busch, Johannes. Charité Universitätsmedizin Berlin; AlemaniaFil: Lofredi, Roxanne. Charité Universitätsmedizin Berlin; AlemaniaFil: Habets, Jeroen. Charité Universitätsmedizin Berlin; AlemaniaFil: Huebl, Julius. Charité Universitätsmedizin Berlin; AlemaniaFil: Zhu, Guanyu. No especifíca;Fil: Yin, Zixiao. No especifíca;Fil: Zhao, Baotian. No especifíca;Fil: Merkl, Angela. Charité Universitätsmedizin Berlin; AlemaniaFil: Bajbouj, Malek. No especifíca;Fil: Krause, Patricia. No especifíca;Fil: Faust, Katharina. Charité Universitätsmedizin Berlin; AlemaniaFil: Schneider, Gerd-Helge. Charité Universitätsmedizin Berlin; AlemaniaFil: Horn, Andreas. Massachusetts General Hospital; Estados UnidosFil: Zhang, Jianguo. Department Of Neurosurgery, Beijing Tiantan Hospital; ChipreFil: Kühn, Andrea A.. Charité Universitätsmedizin Berlin; AlemaniaFil: Mark Richardson, R.. No especifíca;Fil: Neumann, Wolf Julian. Charité Universitätsmedizin Berlin; AlemaniaNature2025-09-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/292023Merk, Timon; Köhler, Richard M.; Brotons, Toni M.; Vossberg, Samed Rouven; Peterson, Victoria; et al.; Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants; Nature; Nature Biomedical Engineering; 10; 5; 24-9-2025; 852-8692157-846XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41551-025-01467-9info:eu-repo/semantics/altIdentifier/doi/10.1038/s41551-025-01467-9info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:38:44Zoai:ri.conicet.gov.ar:11336/292023instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 14:38:44.571CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants
title Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants
spellingShingle Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants
Merk, Timon
MOVEMENT DISORDERS
NEURAL DECODING
BRAIN IMPANTS
title_short Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants
title_full Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants
title_fullStr Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants
title_full_unstemmed Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants
title_sort Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants
dc.creator.none.fl_str_mv Merk, Timon
Köhler, Richard M.
Brotons, Toni M.
Vossberg, Samed Rouven
Peterson, Victoria
Lyra, Laura Freire
Vanhoecke, Jojo
Chikermane, Meera
Binns, Thomas S.
Li, Ningfei
Walton, Ashley
Neudorfer, Clemens
Bush, Alan
Sisterson, Nathan
Busch, Johannes
Lofredi, Roxanne
Habets, Jeroen
Huebl, Julius
Zhu, Guanyu
Yin, Zixiao
Zhao, Baotian
Merkl, Angela
Bajbouj, Malek
Krause, Patricia
Faust, Katharina
Schneider, Gerd-Helge
Horn, Andreas
Zhang, Jianguo
Kühn, Andrea A.
Mark Richardson, R.
Neumann, Wolf Julian
author Merk, Timon
author_facet Merk, Timon
Köhler, Richard M.
Brotons, Toni M.
Vossberg, Samed Rouven
Peterson, Victoria
Lyra, Laura Freire
Vanhoecke, Jojo
Chikermane, Meera
Binns, Thomas S.
Li, Ningfei
Walton, Ashley
Neudorfer, Clemens
Bush, Alan
Sisterson, Nathan
Busch, Johannes
Lofredi, Roxanne
Habets, Jeroen
Huebl, Julius
Zhu, Guanyu
Yin, Zixiao
Zhao, Baotian
Merkl, Angela
Bajbouj, Malek
Krause, Patricia
Faust, Katharina
Schneider, Gerd-Helge
Horn, Andreas
Zhang, Jianguo
Kühn, Andrea A.
Mark Richardson, R.
Neumann, Wolf Julian
author_role author
author2 Köhler, Richard M.
Brotons, Toni M.
Vossberg, Samed Rouven
Peterson, Victoria
Lyra, Laura Freire
Vanhoecke, Jojo
Chikermane, Meera
Binns, Thomas S.
Li, Ningfei
Walton, Ashley
Neudorfer, Clemens
Bush, Alan
Sisterson, Nathan
Busch, Johannes
Lofredi, Roxanne
Habets, Jeroen
Huebl, Julius
Zhu, Guanyu
Yin, Zixiao
Zhao, Baotian
Merkl, Angela
Bajbouj, Malek
Krause, Patricia
Faust, Katharina
Schneider, Gerd-Helge
Horn, Andreas
Zhang, Jianguo
Kühn, Andrea A.
Mark Richardson, R.
Neumann, Wolf Julian
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv MOVEMENT DISORDERS
NEURAL DECODING
BRAIN IMPANTS
topic MOVEMENT DISORDERS
NEURAL DECODING
BRAIN IMPANTS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/2.6
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/1.7
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Brain–computer interface research can inspire closed-loop neuromodulation therapies, promising spatiotemporal precision for the treatment of brain disorders. Decoding dynamic patient states from brain signals with machine learning is required to leverage this precision, but a standardized framework for invasive brain signal decoding from neural implants does not exist. Here we develop a platform that integrates brain signal decoding with magnetic resonance imaging connectomics and demonstrate its use across 123 h of invasively recorded brain data from 73 neurosurgical patients treated with brain implants for movement disorders, depression and epilepsy. We introduce connectomics-informed movement decoders that generalize across cohorts with Parkinson’s disease and epilepsy from the United States, Europe and China. We reveal network targets for emotion decoding in left prefrontal and cingulate circuits in deep brain stimulation patients with major depression. Finally, we showcase opportunities to improve seizure detection in responsive neurostimulation for epilepsy. Our study highlights the clinical use of brain signal decoding for deep brain stimulation and provides methods that allow for rapid, high-accuracy decoding for precision medicine approaches that can dynamically adapt neurotherapies in response to the individual needs of patients.
Fil: Merk, Timon. Charité Universitätsmedizin Berlin; Alemania
Fil: Köhler, Richard M.. No especifíca;
Fil: Brotons, Toni M.. No especifíca;
Fil: Vossberg, Samed Rouven. Charité Universitätsmedizin Berlin; Alemania
Fil: Peterson, Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentina
Fil: Lyra, Laura Freire. No especifíca;
Fil: Vanhoecke, Jojo. No especifíca;
Fil: Chikermane, Meera. No especifíca;
Fil: Binns, Thomas S.. No especifíca;
Fil: Li, Ningfei. No especifíca;
Fil: Walton, Ashley. Massachusetts General Hospital; Estados Unidos
Fil: Neudorfer, Clemens. Massachusetts General Hospital; Estados Unidos
Fil: Bush, Alan. Massachusetts General Hospital; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sisterson, Nathan. Massachusetts General Hospital; Estados Unidos
Fil: Busch, Johannes. Charité Universitätsmedizin Berlin; Alemania
Fil: Lofredi, Roxanne. Charité Universitätsmedizin Berlin; Alemania
Fil: Habets, Jeroen. Charité Universitätsmedizin Berlin; Alemania
Fil: Huebl, Julius. Charité Universitätsmedizin Berlin; Alemania
Fil: Zhu, Guanyu. No especifíca;
Fil: Yin, Zixiao. No especifíca;
Fil: Zhao, Baotian. No especifíca;
Fil: Merkl, Angela. Charité Universitätsmedizin Berlin; Alemania
Fil: Bajbouj, Malek. No especifíca;
Fil: Krause, Patricia. No especifíca;
Fil: Faust, Katharina. Charité Universitätsmedizin Berlin; Alemania
Fil: Schneider, Gerd-Helge. Charité Universitätsmedizin Berlin; Alemania
Fil: Horn, Andreas. Massachusetts General Hospital; Estados Unidos
Fil: Zhang, Jianguo. Department Of Neurosurgery, Beijing Tiantan Hospital; Chipre
Fil: Kühn, Andrea A.. Charité Universitätsmedizin Berlin; Alemania
Fil: Mark Richardson, R.. No especifíca;
Fil: Neumann, Wolf Julian. Charité Universitätsmedizin Berlin; Alemania
description Brain–computer interface research can inspire closed-loop neuromodulation therapies, promising spatiotemporal precision for the treatment of brain disorders. Decoding dynamic patient states from brain signals with machine learning is required to leverage this precision, but a standardized framework for invasive brain signal decoding from neural implants does not exist. Here we develop a platform that integrates brain signal decoding with magnetic resonance imaging connectomics and demonstrate its use across 123 h of invasively recorded brain data from 73 neurosurgical patients treated with brain implants for movement disorders, depression and epilepsy. We introduce connectomics-informed movement decoders that generalize across cohorts with Parkinson’s disease and epilepsy from the United States, Europe and China. We reveal network targets for emotion decoding in left prefrontal and cingulate circuits in deep brain stimulation patients with major depression. Finally, we showcase opportunities to improve seizure detection in responsive neurostimulation for epilepsy. Our study highlights the clinical use of brain signal decoding for deep brain stimulation and provides methods that allow for rapid, high-accuracy decoding for precision medicine approaches that can dynamically adapt neurotherapies in response to the individual needs of patients.
publishDate 2025
dc.date.none.fl_str_mv 2025-09-24
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/292023
Merk, Timon; Köhler, Richard M.; Brotons, Toni M.; Vossberg, Samed Rouven; Peterson, Victoria; et al.; Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants; Nature; Nature Biomedical Engineering; 10; 5; 24-9-2025; 852-869
2157-846X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/292023
identifier_str_mv Merk, Timon; Köhler, Richard M.; Brotons, Toni M.; Vossberg, Samed Rouven; Peterson, Victoria; et al.; Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants; Nature; Nature Biomedical Engineering; 10; 5; 24-9-2025; 852-869
2157-846X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41551-025-01467-9
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41551-025-01467-9
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature
publisher.none.fl_str_mv Nature
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.24418

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