Cargando…

Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli

Previous studies have demonstrated that auditory cortex activity can be influenced by cross-sensory visual inputs. Intracortical recordings in non-human primates (NHP) have suggested a bottom-up feedforward (FF) type laminar profile for auditory evoked but top-down feedback (FB) type for cross-senso...

Descripción completa

Detalles Bibliográficos
Autores principales: Lankinen, Kaisu, Ahveninen, Jyrki, Jas, Mainak, Raij, Tommi, Ahlfors, Seppo P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312796/
https://www.ncbi.nlm.nih.gov/pubmed/37398025
http://dx.doi.org/10.1101/2023.06.16.545371
_version_ 1785066988052152320
author Lankinen, Kaisu
Ahveninen, Jyrki
Jas, Mainak
Raij, Tommi
Ahlfors, Seppo P.
author_facet Lankinen, Kaisu
Ahveninen, Jyrki
Jas, Mainak
Raij, Tommi
Ahlfors, Seppo P.
author_sort Lankinen, Kaisu
collection PubMed
description Previous studies have demonstrated that auditory cortex activity can be influenced by cross-sensory visual inputs. Intracortical recordings in non-human primates (NHP) have suggested a bottom-up feedforward (FF) type laminar profile for auditory evoked but top-down feedback (FB) type for cross-sensory visual evoked activity in the auditory cortex. To test whether this principle applies also to humans, we analyzed magnetoencephalography (MEG) responses from eight human subjects (six females) evoked by simple auditory or visual stimuli. In the estimated MEG source waveforms for auditory cortex region of interest, auditory evoked responses showed peaks at 37 and 90 ms and cross-sensory visual responses at 125 ms. The inputs to the auditory cortex were then modeled through FF and FB type connections targeting different cortical layers using the Human Neocortical Neurosolver (HNN), which consists of a neocortical circuit model linking the cellular- and circuit-level mechanisms to MEG. The HNN models suggested that the measured auditory response could be explained by an FF input followed by an FB input, and the cross-sensory visual response by an FB input. Thus, the combined MEG and HNN results support the hypothesis that cross-sensory visual input in the auditory cortex is of FB type. The results also illustrate how the dynamic patterns of the estimated MEG/EEG source activity can provide information about the characteristics of the input into a cortical area in terms of the hierarchical organization among areas.
format Online
Article
Text
id pubmed-10312796
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Cold Spring Harbor Laboratory
record_format MEDLINE/PubMed
spelling pubmed-103127962023-07-01 Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli Lankinen, Kaisu Ahveninen, Jyrki Jas, Mainak Raij, Tommi Ahlfors, Seppo P. bioRxiv Article Previous studies have demonstrated that auditory cortex activity can be influenced by cross-sensory visual inputs. Intracortical recordings in non-human primates (NHP) have suggested a bottom-up feedforward (FF) type laminar profile for auditory evoked but top-down feedback (FB) type for cross-sensory visual evoked activity in the auditory cortex. To test whether this principle applies also to humans, we analyzed magnetoencephalography (MEG) responses from eight human subjects (six females) evoked by simple auditory or visual stimuli. In the estimated MEG source waveforms for auditory cortex region of interest, auditory evoked responses showed peaks at 37 and 90 ms and cross-sensory visual responses at 125 ms. The inputs to the auditory cortex were then modeled through FF and FB type connections targeting different cortical layers using the Human Neocortical Neurosolver (HNN), which consists of a neocortical circuit model linking the cellular- and circuit-level mechanisms to MEG. The HNN models suggested that the measured auditory response could be explained by an FF input followed by an FB input, and the cross-sensory visual response by an FB input. Thus, the combined MEG and HNN results support the hypothesis that cross-sensory visual input in the auditory cortex is of FB type. The results also illustrate how the dynamic patterns of the estimated MEG/EEG source activity can provide information about the characteristics of the input into a cortical area in terms of the hierarchical organization among areas. Cold Spring Harbor Laboratory 2023-06-17 /pmc/articles/PMC10312796/ /pubmed/37398025 http://dx.doi.org/10.1101/2023.06.16.545371 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Lankinen, Kaisu
Ahveninen, Jyrki
Jas, Mainak
Raij, Tommi
Ahlfors, Seppo P.
Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli
title Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli
title_full Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli
title_fullStr Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli
title_full_unstemmed Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli
title_short Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli
title_sort neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312796/
https://www.ncbi.nlm.nih.gov/pubmed/37398025
http://dx.doi.org/10.1101/2023.06.16.545371
work_keys_str_mv AT lankinenkaisu neuronalmodelingofmagnetoencephalographyresponsesinauditorycortextoauditoryandvisualstimuli
AT ahveninenjyrki neuronalmodelingofmagnetoencephalographyresponsesinauditorycortextoauditoryandvisualstimuli
AT jasmainak neuronalmodelingofmagnetoencephalographyresponsesinauditorycortextoauditoryandvisualstimuli
AT raijtommi neuronalmodelingofmagnetoencephalographyresponsesinauditorycortextoauditoryandvisualstimuli
AT ahlforsseppop neuronalmodelingofmagnetoencephalographyresponsesinauditorycortextoauditoryandvisualstimuli