Direct cortical stimulation induces short-term plasticity of neural oscillations in humans.
TMS
cortico-cortical evoked potentials
electrical stimulation
electrocorticography
iEEG
Journal
bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187
Informations de publication
Date de publication:
17 Nov 2023
17 Nov 2023
Historique:
pubmed:
28
11
2023
medline:
28
11
2023
entrez:
28
11
2023
Statut:
epublish
Résumé
Patterned brain stimulation is commonly employed as a tool for eliciting plasticity in brain circuits and treating neuropsychiatric disorders. Although widely used in clinical settings, there remains a limited understanding of how stimulation-induced plasticity influences neural oscillations and their interplay with the underlying baseline functional architecture. To address this question, we applied 15 minutes of 10Hz focal electrical simulation, a pattern identical to 'excitatory' repetitive transcranial magnetic stimulation (rTMS), to 14 medically-intractable epilepsy patients undergoing intracranial electroencephalographic (iEEG). We quantified the spectral features of the cortico-cortical evoked potential (CCEPs) in these patients before and after stimulation. We hypothesized that for a given region the temporal and spectral components of the CCEP predicted the location and degree of stimulation-induced plasticity. Across patients, low frequency power (alpha and beta) showed the broadest change, while the magnitude of change was stronger in high frequencies (beta and gamma). Next we demonstrated that regions with stronger baseline evoked spectral responses were more likely to undergo plasticity after stimulation. These findings were specific to a given frequency in a specific temporal window. Post-stimulation power changes were driven by the interaction between direction of change in baseline power and temporal window of change. Finally, regions exhibiting early increases and late decreases in evoked baseline power exhibited power changes after stimulation and were independent of stimulation location. Together, these findings that time-frequency baseline features predict post-stimulation plasticity effects demonstrate properties akin to Hebbian learning in humans and extend this theory to the temporal and spectral window of interest. These findings can help improve our understanding of human brain plasticity and lead to more effective brain stimulation techniques.
Identifiants
pubmed: 38014071
doi: 10.1101/2023.11.15.567302
pmc: PMC10680685
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NIMH NIH HHS
ID : R01 MH126639
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH129018
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH132074
Pays : United States