Non-invasive temporal interference electrical stimulation of the human hippocampus
- PMID: 37857775
- PMCID: PMC10620081
- DOI: 10.1038/s41593-023-01456-8
Non-invasive temporal interference electrical stimulation of the human hippocampus
Erratum in
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Publisher Correction: Non-invasive temporal interference electrical stimulation of the human hippocampus.Nat Neurosci. 2023 Dec;26(12):2252. doi: 10.1038/s41593-023-01517-y. Nat Neurosci. 2023. PMID: 37957321 Free PMC article. No abstract available.
Abstract
Deep brain stimulation (DBS) via implanted electrodes is used worldwide to treat patients with severe neurological and psychiatric disorders. However, its invasiveness precludes widespread clinical use and deployment in research. Temporal interference (TI) is a strategy for non-invasive steerable DBS using multiple kHz-range electric fields with a difference frequency within the range of neural activity. Here we report the validation of the non-invasive DBS concept in humans. We used electric field modeling and measurements in a human cadaver to verify that the locus of the transcranial TI stimulation can be steerably focused in the hippocampus with minimal exposure to the overlying cortex. We then used functional magnetic resonance imaging and behavioral experiments to show that TI stimulation can focally modulate hippocampal activity and enhance the accuracy of episodic memories in healthy humans. Our results demonstrate targeted, non-invasive electrical stimulation of deep structures in the human brain.
© 2023. The Author(s).
Conflict of interest statement
N.G. and E.S.B. are inventors of a patent on the technology, assigned to MIT. E.S.B., N.G., N.K., A.P.-L. and E.N. are co-founders of TI Solutions AG, a company committed to producing hardware and software solutions to support TI research. A.P.-L. is inventor on several issued and pending patents on the real-time integration of non-invasive brain stimulation with electroencephalography and MRI, and applications of non-invasive brain stimulation in various neurological disorders, as well as digital biomarkers of cognition and digital assessments for early diagnosis of dementia. The remaining authors declare no competing interests.
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