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Resolving laminar activation in human V1 using ultra-high spatial resolution fMRI at 7T
The mesoscopic organization of the human neocortex is of great interest for cognitive neuroscience. However, fMRI in humans typically maps the functional units of cognitive processing on a macroscopic level. With the advent of ultra-high field MRI (≥7T), it has become possible to acquire fMRI data w...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244001/ https://www.ncbi.nlm.nih.gov/pubmed/30459391 http://dx.doi.org/10.1038/s41598-018-35333-3 |
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author | Kashyap, Sriranga Ivanov, Dimo Havlicek, Martin Sengupta, Shubharthi Poser, Benedikt A. Uludağ, Kâmil |
author_facet | Kashyap, Sriranga Ivanov, Dimo Havlicek, Martin Sengupta, Shubharthi Poser, Benedikt A. Uludağ, Kâmil |
author_sort | Kashyap, Sriranga |
collection | PubMed |
description | The mesoscopic organization of the human neocortex is of great interest for cognitive neuroscience. However, fMRI in humans typically maps the functional units of cognitive processing on a macroscopic level. With the advent of ultra-high field MRI (≥7T), it has become possible to acquire fMRI data with sub-millimetre resolution, enabling probing the laminar and columnar circuitry in humans. Currently, laminar BOLD responses are not directly observed but inferred via data analysis, due to coarse spatial resolution of fMRI (e.g. 0.7–0.8 mm isotropic) relative to the extent of histological laminae. In this study, we introduce a novel approach for mapping the cortical BOLD response at the spatial scale of cortical layers and columns at 7T (an unprecedented 0.1 mm, either in the laminar or columnar direction). We demonstrate experimentally and using simulations, the superiority of the novel approach compared to standard approaches for human laminar fMRI in terms of effective spatial resolution in either laminar or columnar direction. In addition, we provide evidence that the laminar BOLD signal profile is not homogeneous even over short patches of cortex. In summary, the proposed novel approach affords the ability to directly study the mesoscopic organization of the human cortex, thus, bridging the gap between human cognitive neuroscience and invasive animal studies. |
format | Online Article Text |
id | pubmed-6244001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62440012018-11-27 Resolving laminar activation in human V1 using ultra-high spatial resolution fMRI at 7T Kashyap, Sriranga Ivanov, Dimo Havlicek, Martin Sengupta, Shubharthi Poser, Benedikt A. Uludağ, Kâmil Sci Rep Article The mesoscopic organization of the human neocortex is of great interest for cognitive neuroscience. However, fMRI in humans typically maps the functional units of cognitive processing on a macroscopic level. With the advent of ultra-high field MRI (≥7T), it has become possible to acquire fMRI data with sub-millimetre resolution, enabling probing the laminar and columnar circuitry in humans. Currently, laminar BOLD responses are not directly observed but inferred via data analysis, due to coarse spatial resolution of fMRI (e.g. 0.7–0.8 mm isotropic) relative to the extent of histological laminae. In this study, we introduce a novel approach for mapping the cortical BOLD response at the spatial scale of cortical layers and columns at 7T (an unprecedented 0.1 mm, either in the laminar or columnar direction). We demonstrate experimentally and using simulations, the superiority of the novel approach compared to standard approaches for human laminar fMRI in terms of effective spatial resolution in either laminar or columnar direction. In addition, we provide evidence that the laminar BOLD signal profile is not homogeneous even over short patches of cortex. In summary, the proposed novel approach affords the ability to directly study the mesoscopic organization of the human cortex, thus, bridging the gap between human cognitive neuroscience and invasive animal studies. Nature Publishing Group UK 2018-11-20 /pmc/articles/PMC6244001/ /pubmed/30459391 http://dx.doi.org/10.1038/s41598-018-35333-3 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kashyap, Sriranga Ivanov, Dimo Havlicek, Martin Sengupta, Shubharthi Poser, Benedikt A. Uludağ, Kâmil Resolving laminar activation in human V1 using ultra-high spatial resolution fMRI at 7T |
title | Resolving laminar activation in human V1 using ultra-high spatial resolution fMRI at 7T |
title_full | Resolving laminar activation in human V1 using ultra-high spatial resolution fMRI at 7T |
title_fullStr | Resolving laminar activation in human V1 using ultra-high spatial resolution fMRI at 7T |
title_full_unstemmed | Resolving laminar activation in human V1 using ultra-high spatial resolution fMRI at 7T |
title_short | Resolving laminar activation in human V1 using ultra-high spatial resolution fMRI at 7T |
title_sort | resolving laminar activation in human v1 using ultra-high spatial resolution fmri at 7t |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244001/ https://www.ncbi.nlm.nih.gov/pubmed/30459391 http://dx.doi.org/10.1038/s41598-018-35333-3 |
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