Intrinsic Neural Timescales in the Temporal Lobe Support an Auditory Processing Hierarchy.

  • Published In: Journal of Neuroscience, 2023, v. 43, n. 20. P. 3696 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Cusinato, Riccardo; Alnes, Sigurd L.; van Maren, Ellen; Boccalaro, Ida; Ledergerber, Debora; Adamantidis, Antoine; Imbach, Lukas L.; Schindler, Kaspar; Baud, Maxime O.; Tzovara, Athina 3 of 3

Abstract

During rest, intrinsic neural dynamics manifest at multiple timescales, which progressively increase along visual and somatosensory hierarchies. Theoretically, intrinsic timescales are thought to facilitate processing of external stimuli at multiple stages. However, direct links between timescales at rest and sensory processing, as well as translation to the auditory system are lacking. Here, we measured intracranial EEG in 11 human patients with epilepsy (4 women), while listening to pure tones. We show that, in the auditory network, intrinsic neural timescales progressively increase, while the spectral exponent flattens, from temporal to entorhinal cortex, hippocampus, and amygdala. Within the neocortex, intrinsic timescales exhibit spatial gradients that follow the temporal lobe anatomy. Crucially, intrinsic timescales at baseline can explain the latency of auditory responses: as intrinsic timescales increase, so do the single-electrode response onset and peak latencies. Our results suggest that the human auditory network exhibits a repertoire of intrinsic neural dynamics, which manifest in cortical gradients with millimeter resolution and may provide a variety of temporal windows to support auditory processing. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Neuroscience. 2023/05, Vol. 43, Issue 20, p3696
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:0270-6474
  • DOI:10.1523/JNEUROSCI.1941-22.2023
  • Accession Number:163782870
  • Copyright Statement:Copyright of Journal of Neuroscience is the property of Society for Neuroscience 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.