Non-invasive temporal interference electrical stimulation of the human hippocampus.

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Title: Non-invasive temporal interference electrical stimulation of the human hippocampus.
Authors: Violante, Ines R. (AUTHOR), Alania, Ketevan (AUTHOR), Cassarà, Antonino M. (AUTHOR), Neufeld, Esra (AUTHOR), Acerbo, Emma (AUTHOR), Carron, Romain (AUTHOR), Williamson, Adam (AUTHOR), Kurtin, Danielle L. (AUTHOR), Rhodes, Edward (AUTHOR), Hampshire, Adam (AUTHOR), Kuster, Niels (AUTHOR), Boyden, Edward S. (AUTHOR), Pascual-Leone, Alvaro (AUTHOR), Grossman, Nir (AUTHOR)
Source: Nature Neuroscience. Nov2023, Vol. 26 Issue 11, p1994-2004. 11p.
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. Electrical deep brain stimulation therapy is limited by the risks of inserting electrodes into the brain. Here the authors report non-invasive deep brain stimulation in the human hippocampus using temporal interference of kHz electric fields. [ABSTRACT FROM AUTHOR]
Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: 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. Electrical deep brain stimulation therapy is limited by the risks of inserting electrodes into the brain. Here the authors report non-invasive deep brain stimulation in the human hippocampus using temporal interference of kHz electric fields. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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