The neuron mixer and its impact on human brain dynamics.

CP: Neuroscience frequency mixing higher-order interaction neuron computation

Journal

Cell reports
ISSN: 2211-1247
Titre abrégé: Cell Rep
Pays: United States
ID NLM: 101573691

Informations de publication

Date de publication:
25 May 2024
Historique:
received: 08 03 2023
revised: 18 12 2023
accepted: 09 05 2024
medline: 26 5 2024
pubmed: 26 5 2024
entrez: 26 5 2024
Statut: aheadofprint

Résumé

A signal mixer facilitates rich computation, which has been the building block of modern telecommunication. This frequency mixing produces new signals at the sum and difference frequencies of input signals, enabling powerful operations such as heterodyning and multiplexing. Here, we report that a neuron is a signal mixer. We found through ex vivo and in vivo whole-cell measurements that neurons mix exogenous (controlled) and endogenous (spontaneous) subthreshold membrane potential oscillations, producing new oscillation frequencies, and that neural mixing originates in voltage-gated ion channels. Furthermore, we demonstrate that mixing is evident in human brain activity and is associated with cognitive functions. We found that the human electroencephalogram displays distinct clusters of local and inter-region mixing and that conversion of the salient posterior alpha-beta oscillations into gamma-band oscillations regulates visual attention. Signal mixing may enable individual neurons to sculpt the spectrum of neural circuit oscillations and utilize them for computational operations.

Identifiants

pubmed: 38796852
pii: S2211-1247(24)00602-8
doi: 10.1016/j.celrep.2024.114274
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

114274

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests N.G. and E.S.B. are inventors of a patent on neuromodulation using temporal interference (TI) of kHz electric fields, assigned to MIT. N.G. and E.S.B. are co-founders of TI Solutions AG, a company committed to producing hardware and software solutions to support TI research.

Auteurs

Charlotte E Luff (CE)

Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, Imperial College London, London, UK.

Robert Peach (R)

Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, Imperial College London, London, UK; Department of Neurology, University Hospital Würzburg, Würzburg, Germany.

Emma-Jane Mallas (EJ)

Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, Care Research & Technology Centre, London, UK.

Edward Rhodes (E)

Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, Imperial College London, London, UK.

Felix Laumann (F)

Department of Mathematics, Imperial College London, London, UK.

Edward S Boyden (ES)

Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA.

David J Sharp (DJ)

Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, Care Research & Technology Centre, London, UK; Centre for Injury Studies, Imperial College London, London, UK.

Mauricio Barahona (M)

Department of Mathematics, Imperial College London, London, UK.

Nir Grossman (N)

Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, Imperial College London, London, UK. Electronic address: nirg@imperial.ac.uk.

Classifications MeSH