Timing and location of speech errors induced by direct cortical stimulation.

electrocorticography speech motor control speech production subdural electrodes

Journal

Brain communications
ISSN: 2632-1297
Titre abrégé: Brain Commun
Pays: England
ID NLM: 101755125

Informations de publication

Date de publication:
2024
Historique:
received: 17 07 2023
revised: 30 11 2023
accepted: 22 02 2024
medline: 20 3 2024
pubmed: 20 3 2024
entrez: 20 3 2024
Statut: epublish

Résumé

Cortical regions supporting speech production are commonly established using neuroimaging techniques in both research and clinical settings. However, for neurosurgical purposes, structural function is routinely mapped peri-operatively using direct electrocortical stimulation. While this method is the gold standard for identification of eloquent cortical regions to preserve in neurosurgical patients, there is lack of specificity of the actual underlying cognitive processes being interrupted. To address this, we propose mapping the temporal dynamics of speech arrest across peri-sylvian cortices by quantifying the latency between stimulation and speech deficits. In doing so, we are able to substantiate hypotheses about distinct region-specific functional roles (e.g. planning versus motor execution). In this retrospective observational study, we analysed 20 patients (12 female; age range 14-43) with refractory epilepsy who underwent continuous extra-operative intracranial EEG monitoring of an automatic speech task during clinical bedside language mapping. Latency to speech arrest was calculated as time from stimulation onset to speech arrest onset, controlling for individual speech rate. Most instances of motor-based arrest (87.5% of 96 instances) were in sensorimotor cortex with mid-range latencies to speech arrest with a distributional peak at 0.47 s. Speech arrest occurred in numerous regions, with relatively short latencies in supramarginal gyrus (0.46 s), superior temporal gyrus (0.51 s) and middle temporal gyrus (0.54 s), followed by relatively long latencies in sensorimotor cortex (0.72 s) and especially long latencies in inferior frontal gyrus (0.95 s). Non-parametric testing for speech arrest revealed that region predicted latency; latencies in supramarginal gyrus and in superior temporal gyrus were shorter than in sensorimotor cortex and in inferior frontal gyrus. Sensorimotor cortex is primarily responsible for motor-based arrest. Latencies to speech arrest in supramarginal gyrus and superior temporal gyrus (and to a lesser extent middle temporal gyrus) align with latencies to motor-based arrest in sensorimotor cortex. This pattern of relatively quick cessation of speech suggests that stimulating these regions interferes with the outgoing motor execution. In contrast, the latencies to speech arrest in inferior frontal gyrus and in ventral regions of sensorimotor cortex were significantly longer than those in temporoparietal regions. Longer latencies in the more frontal areas (including inferior frontal gyrus and ventral areas of precentral gyrus and postcentral gyrus) suggest that stimulating these areas interrupts a higher-level speech production process involved in planning. These results implicate the ventral specialization of sensorimotor cortex (including both precentral and postcentral gyri) for speech planning above and beyond motor execution.

Identifiants

pubmed: 38505231
doi: 10.1093/braincomms/fcae053
pii: fcae053
pmc: PMC10948744
doi:

Types de publication

Journal Article

Langues

eng

Pagination

fcae053

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.

Déclaration de conflit d'intérêts

Author Dr. Daniel Friedman receives salary support for consulting and clinical trial related activities performed on behalf of The Epilepsy Study Consortium, a non-profit organization. Dr. Friedman receives no personal income for these activities. New York University receives a fixed amount from the Epilepsy Study Consortium towards Dr. Friedman’s salary. Within the past two years, The Epilepsy Study Consortium received payments for research services from Biohaven, BioXcell, Cerevel, Cerebral, Epilex, Equilibre, Jannsen, Lundbeck, Praxis, Puretech, Neurocrine, SK Life Science, Supernus, UCB and Xenon. Dr. Friedman has also served as a paid consultant for Neurelis Pharmaceuticals, holds equity interests in Neuroview Technology and received royalty income from Oxford University Press. All other authors report no competing interests.

Auteurs

Heather Kabakoff (H)

Department of Neurology, New York University School of Medicine, New York, NY 10016, USA.

Leyao Yu (L)

Department of Biomedical Engineering, New York University School of Engineering, Brooklyn, NY 11201, USA.

Daniel Friedman (D)

Department of Neurology, New York University School of Medicine, New York, NY 10016, USA.

Patricia Dugan (P)

Department of Neurology, New York University School of Medicine, New York, NY 10016, USA.

Werner K Doyle (WK)

Department of Neurosurgery, New York University School of Medicine, New York, NY 10016, USA.

Orrin Devinsky (O)

Department of Neurology, New York University School of Medicine, New York, NY 10016, USA.

Adeen Flinker (A)

Department of Neurology, New York University School of Medicine, New York, NY 10016, USA.
Department of Biomedical Engineering, New York University School of Engineering, Brooklyn, NY 11201, USA.

Classifications MeSH