Cargando…

Laminar functional magnetic resonance imaging in vision research

Magnetic resonance imaging (MRI) scanners at ultra-high magnetic fields have become available to use in humans, thus enabling researchers to investigate the human brain in detail. By increasing the spatial resolution, ultra-high field MR allows both structural and functional characterization of cort...

Descripción completa

Detalles Bibliográficos
Autores principales: Demirayak, Pinar, Deshpande, Gopikrishna, Visscher, Kristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577024/
https://www.ncbi.nlm.nih.gov/pubmed/36267240
http://dx.doi.org/10.3389/fnins.2022.910443
_version_ 1784811663498674176
author Demirayak, Pinar
Deshpande, Gopikrishna
Visscher, Kristina
author_facet Demirayak, Pinar
Deshpande, Gopikrishna
Visscher, Kristina
author_sort Demirayak, Pinar
collection PubMed
description Magnetic resonance imaging (MRI) scanners at ultra-high magnetic fields have become available to use in humans, thus enabling researchers to investigate the human brain in detail. By increasing the spatial resolution, ultra-high field MR allows both structural and functional characterization of cortical layers. Techniques that can differentiate cortical layers, such as histological studies and electrode-based measurements have made critical contributions to the understanding of brain function, but these techniques are invasive and thus mainly available in animal models. There are likely to be differences in the organization of circuits between humans and even our closest evolutionary neighbors. Thus research on the human brain is essential. Ultra-high field MRI can observe differences between cortical layers, but is non-invasive and can be used in humans. Extensive previous literature has shown that neuronal connections between brain areas that transmit feedback and feedforward information terminate in different layers of the cortex. Layer-specific functional MRI (fMRI) allows the identification of layer-specific hemodynamic responses, distinguishing feedback and feedforward pathways. This capability has been particularly important for understanding visual processing, as it has allowed researchers to test hypotheses concerning feedback and feedforward information in visual cortical areas. In this review, we provide a general overview of successful ultra-high field MRI applications in vision research as examples of future research.
format Online
Article
Text
id pubmed-9577024
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95770242022-10-19 Laminar functional magnetic resonance imaging in vision research Demirayak, Pinar Deshpande, Gopikrishna Visscher, Kristina Front Neurosci Neuroscience Magnetic resonance imaging (MRI) scanners at ultra-high magnetic fields have become available to use in humans, thus enabling researchers to investigate the human brain in detail. By increasing the spatial resolution, ultra-high field MR allows both structural and functional characterization of cortical layers. Techniques that can differentiate cortical layers, such as histological studies and electrode-based measurements have made critical contributions to the understanding of brain function, but these techniques are invasive and thus mainly available in animal models. There are likely to be differences in the organization of circuits between humans and even our closest evolutionary neighbors. Thus research on the human brain is essential. Ultra-high field MRI can observe differences between cortical layers, but is non-invasive and can be used in humans. Extensive previous literature has shown that neuronal connections between brain areas that transmit feedback and feedforward information terminate in different layers of the cortex. Layer-specific functional MRI (fMRI) allows the identification of layer-specific hemodynamic responses, distinguishing feedback and feedforward pathways. This capability has been particularly important for understanding visual processing, as it has allowed researchers to test hypotheses concerning feedback and feedforward information in visual cortical areas. In this review, we provide a general overview of successful ultra-high field MRI applications in vision research as examples of future research. Frontiers Media S.A. 2022-10-04 /pmc/articles/PMC9577024/ /pubmed/36267240 http://dx.doi.org/10.3389/fnins.2022.910443 Text en Copyright © 2022 Demirayak, Deshpande and Visscher. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Demirayak, Pinar
Deshpande, Gopikrishna
Visscher, Kristina
Laminar functional magnetic resonance imaging in vision research
title Laminar functional magnetic resonance imaging in vision research
title_full Laminar functional magnetic resonance imaging in vision research
title_fullStr Laminar functional magnetic resonance imaging in vision research
title_full_unstemmed Laminar functional magnetic resonance imaging in vision research
title_short Laminar functional magnetic resonance imaging in vision research
title_sort laminar functional magnetic resonance imaging in vision research
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577024/
https://www.ncbi.nlm.nih.gov/pubmed/36267240
http://dx.doi.org/10.3389/fnins.2022.910443
work_keys_str_mv AT demirayakpinar laminarfunctionalmagneticresonanceimaginginvisionresearch
AT deshpandegopikrishna laminarfunctionalmagneticresonanceimaginginvisionresearch
AT visscherkristina laminarfunctionalmagneticresonanceimaginginvisionresearch