NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions.


Journal

AIP advances
ISSN: 2158-3226
Titre abrégé: AIP Adv
Pays: United States
ID NLM: 101566109

Informations de publication

Date de publication:
Aug 2024
Historique:
received: 02 05 2024
accepted: 09 07 2024
medline: 12 8 2024
pubmed: 12 8 2024
entrez: 12 8 2024
Statut: epublish

Résumé

Scalable electronic brain implants with long-term stability and low biological perturbation are crucial technologies for high-quality brain-machine interfaces that can seamlessly access delicate and hard-to-reach regions of the brain. Here, we created "NeuroRoots," a biomimetic multi-channel implant with similar dimensions (7

Identifiants

pubmed: 39130131
doi: 10.1063/5.0216979
pii: 5.0216979
pmc: PMC11309783
doi:

Types de publication

Journal Article

Langues

eng

Pagination

085109

Informations de copyright

© 2024 Author(s).

Déclaration de conflit d'intérêts

The authors have no conflicts to disclose.

Auteurs

Marc D Ferro (MD)

Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA.

Christopher M Proctor (CM)

Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, United Kingdom.

Alexander Gonzalez (A)

Department of Neurobiology, Stanford University School of Medicine, Stanford, California 94304, USA.

Sriram Jayabal (S)

Department of Neurobiology, Stanford University School of Medicine, Stanford, California 94304, USA.

Eric Zhao (E)

Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA.

Maxwell Gagnon (M)

Department of Neurobiology, Stanford University School of Medicine, Stanford, California 94304, USA.

Andrea Slézia (A)

Multimodal Neurotechnology Group, Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Hungarian Research Network, 1117 Budapest, Magyar tudósok körútja 2., Hungary.

Jolien Pas (J)

Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, 13541 Gardanne, France.

Gerwin Dijk (G)

Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, 13541 Gardanne, France.

Mary J Donahue (MJ)

Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, 60221, Sweden.

Jennifer Raymond (J)

Department of Neurobiology, Stanford University School of Medicine, Stanford, California 94304, USA.

George G Malliaras (GG)

Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, United Kingdom.

Lisa Giocomo (L)

Department of Neurobiology, Stanford University School of Medicine, Stanford, California 94304, USA.

Nicholas A Melosh (NA)

Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA.

Classifications MeSH