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TMS-induced phase resets depend on TMS intensity and EEG phase.
Erickson, Brian; Kim, Brian; Sabes, Philip; Rich, Ryan; Hatcher, Abigail; Fernandez-Nuñez, Guadalupe; Mentzelopoulos, Georgios; Vitale, Flavia; Medaglia, John.
Afiliação
  • Erickson B; Psychological and Brain Sciences, Drexel University, 3201 Chestnut St, Philadelphia, Pennsylvania, 19104-2816, UNITED STATES.
  • Kim B; Department of Psychology, Drexel University, 3201 Chestnut St, Philadelphia, Pennsylvania, 19104-2816, UNITED STATES.
  • Sabes P; Department of Physiology, University of California San Francisco, 533 Parnassus Ave, San Francisco, California, 94143, UNITED STATES.
  • Rich R; Psychological and Brain Sciences, Drexel University, 3201 Chestnut St, Philadelphia, Pennsylvania, 19104-2816, UNITED STATES.
  • Hatcher A; Department of Psychology, Drexel University, 3201 Chestnut Street, Philadelphia, 19104-2816, UNITED STATES.
  • Fernandez-Nuñez G; Department of Psychology, Drexel University, 3201 Chestnut Street, Philadelphia, Pennsylvania, 19104-2816, UNITED STATES.
  • Mentzelopoulos G; Department of Bioengineering, University of Pennsylvania, 210 South 33rd Street, Philadelphia, Pennsylvania, 19104-6243, UNITED STATES.
  • Vitale F; Center for Neuroengineering and Therapeutics and Department of Neurology, University of Pennsylvania, 240 S. 33rd Street, Philadelphia, Pennsylvania, 19104, UNITED STATES.
  • Medaglia J; Department of Psychology, Drexel University, 3201 Chestnut Street, Philadelphia, Pennsylvania, 19104-2816, UNITED STATES.
J Neural Eng ; 2024 Sep 25.
Article em En | MEDLINE | ID: mdl-39321851
ABSTRACT

OBJECTIVE:

The phase of the electroencephalographic (EEG) signal predicts performance in motor, somatosensory, and cognitive functions. Studies suggest that brain phase resets align neural oscillations with external stimuli, or couple oscillations across frequency bands and brain regions. Transcranial Magnetic Stimulation (TMS) can cause phase resets noninvasively in the cortex, thus providing the potential to control phase-sensitive cognitive functions. However, the relationship between TMS parameters and phase resetting is not fully understood. This is especially true of TMS intensity, which may be crucial to enabling precise control over the amount of phase resetting that is induced. Additionally, TMS phase resetting may interact with the instantaneous phase of the brain. Understanding these relationships is crucial to the development of more powerful and controllable stimulation protocols.

Approach:

To test these relationships, we conducted a TMS-EEG study. We applied single-pulse TMS at varying degrees of stimulation intensity to the motor area in an open loop. Offline, we used an autoregressive algorithm to estimate the phase of the intrinsic µ-Alpha rhythm of the motor cortex at the moment each TMS pulse was delivered. Main

results:

We identified post-stimulation epochs where µ-Alpha phase resetting and N100 amplitude depend parametrically on TMS intensity and are significant versus peripheral auditory sham stimulation. We observed µ-Alpha phase inversion after stimulations near peaks but not troughs in the endogenous µ-Alpha rhythm.

Significance:

These data suggest that low-intensity TMS primarily resets existing oscillations, while at higher intensities TMS may activate previously silent neurons, but only when endogenous oscillations are near the peak phase. These data can guide future studies that seek to induce phase resetting, and point to a way to manipulate the phase resetting effect of TMS by varying only the timing of the pulse with respect to ongoing brain activity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Neural Eng / J. neural eng / Journal of neural engineering Assunto da revista: NEUROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Neural Eng / J. neural eng / Journal of neural engineering Assunto da revista: NEUROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido