Your browser doesn't support javascript.
loading
More than expected: extracellular waveforms and functional responses in monkey LGN.
Sun, Shi Hai; Killian, Nathaniel J; Pezaris, John S.
Afiliación
  • Sun SH; Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA.
  • Killian NJ; Department of Neurosurgery, Harvard Medical School, Boston, MA, USA.
  • Pezaris JS; Department of Neurological Surgery, Albert Einstein College of Medicine, Bronx, NY, USA.
bioRxiv ; 2024 May 16.
Article en En | MEDLINE | ID: mdl-38798485
ABSTRACT
Unlike the exhaustive determination of cell types in the retina, key populations in the lateral geniculate nucleus of the thalamus (LGN) may have been missed. Here, we have begun to characterize the full range of extracellular neuronal responses in the LGN of awake monkeys using multi-electrodes during the presentation of colored noise visual stimuli to identify any previously overlooked signals. Extracellular spike waveforms of single units were classified into seven distinct classes, revealing previously unrecognized diversity four negative-dominant classes that were narrow or broad, one triphasic class, and two positive-dominant classes. Based on their mapped receptive field (RF), these units were further categorized into either magnocellular (M), parvocellular (P), koniocellular (K), or non-RF (N). We found correlations between spike shape and mapped RF and response characteristics, with negative and narrow spiking waveform units predominantly associated with P and N RFs, and positive waveforms mostly linked to M RFs. Responses from positive waveforms exhibited shorter latencies, larger RF sizes, and were associated with larger eccentricities in the visual field than the other waveform classes. Additionally, N cells, those without an estimated RF, were consistently responsive to the visually presented mapping stimulus at a lower and more sustained rate than units with an RF. These findings suggest that the LGN cell population may be more diverse than previously believed.

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos