Laminar specific fMRI reveals directed interactions in distributed networks during language processing
| Autor: | Katrien Segaert, Kirsten Weber, Lauren J. Bains, Tim van Mourik, David G. Norris, Peter Hagoort, Daniel Sharoh |
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| Přispěvatelé: | Magnetic Detection and Imaging |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Elementary cognitive task
110 000 Neurocognition of Language Computer science Association (object-oriented programming) media_common.quotation_subject Biophysics Signal 150 000 MR Techniques in Brain Function Task (project management) Language in Interaction BOLD biophysics Directed connectivity Critical regions Reading (process) medicine Humans Bold response Brain function media_common Language Systems neuroscience Brain Mapping Multidisciplinary Psycholinguistics medicine.diagnostic_test Signal Pathways business.industry SIGNAL (programming language) Brain Pattern recognition Laminar flow Biological Sciences Magnetic Resonance Imaging 22/4 OA procedure Reading Left occipitotemporal sulcus Artificial intelligence Functional magnetic resonance imaging business Signal Transduction Laminar fMRI |
| Zdroj: | Proceedings of the National Academy of Sciences USA, 116, 42, pp. 21185-21190 Proceedings of the National Academy of Sciences USA, 116, 21185-21190 Proceedings of the National Academy of Sciences of the United States of America Proceedings of the National Academy of Sciences of the United States of America, 116(42), 21185-21190. National Academy of Sciences Proceedings of the National Academy of Sciences |
| ISSN: | 0027-8424 |
| DOI: | 10.1073/pnas.1907858116 |
| Popis: | Contains fulltext : 212564.pdf (Publisher’s version ) (Closed access) Laminar resolution, functional MRI (lfMRI) is a noninvasive technique with the potential to distinguish top-down and bottom-up signal contributions on the basis of laminar specific interactions between distal regions. Hitherto, lfMRI could not be demonstrated for either whole-brain distributed networks or for complex cognitive tasks. We show that lfMRI can reveal whole-brain directed networks during word reading. We identify distinct, language-critical regions based on their association with the top-down signal stream and establish lfMRI for the noninvasive assessment of directed connectivity during task performance.Interactions between top-down and bottom-up information streams are integral to brain function but challenging to measure noninvasively. Laminar resolution, functional MRI (lfMRI) is sensitive to depth-dependent properties of the blood oxygen level-dependent (BOLD) response, which can be potentially related to top-down and bottom-up signal contributions. In this work, we used lfMRI to dissociate the top-down and bottom-up signal contributions to the left occipitotemporal sulcus (LOTS) during word reading. We further demonstrate that laminar resolution measurements could be used to identify condition-specific distributed networks on the basis of whole-brain connectivity patterns specific to the depth-dependent BOLD signal. The networks corresponded to top-down and bottom-up signal pathways targeting the LOTS during word reading. We show that reading increased the top-down BOLD signal observed in the deep layers of the LOTS and that this signal uniquely related to the BOLD response in other language-critical regions. These results demonstrate that lfMRI can reveal important patterns of activation that are obscured at standard resolution. In addition to differences in activation strength as a function of depth, we also show meaningful differences in the interaction between signals originating from different depths both within a region and with the rest of the brain. We thus show that lfMRI allows the noninvasive measurement of directed interaction between brain regions and is capable of resolving different connectivity patterns at submillimeter resolution, something previously considered to be exclusively in the domain of invasive recordings. 6 p. |
| Databáze: | OpenAIRE |
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