Demirayak, P and Deshpande, G and Visscher, K (2022) Laminar functional magnetic resonance imaging in vision research. In: Frontiers in Neuroscience, 16 .
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Abstract
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.
Item Type: | Journal Article |
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Publication: | Frontiers in Neuroscience |
Publisher: | Frontiers Media S.A. |
Additional Information: | The copyright for this article belongs to the Authors. |
Keywords: | attention; cortical layers; laminar fMRI; perception; vision research |
Department/Centre: | Autonomous Societies / Centres > Centre for Brain Research |
Date Deposited: | 07 Nov 2022 09:59 |
Last Modified: | 07 Nov 2022 09:59 |
URI: | https://eprints.iisc.ac.in/id/eprint/77763 |
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