Simulating the impact of white matter connectivity on processing time scales using brain network models
Abstract The capacity of the brain to process input across temporal scales is exemplified in human narrative, which requires integration of information ranging from words, over sentences to long paragraphs. It has been shown that this processing is distributed in a hierarchy across multiple areas in...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-025-07587-x |
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| author | Paul Triebkorn Viktor Jirsa Peter Ford Dominey |
| author_facet | Paul Triebkorn Viktor Jirsa Peter Ford Dominey |
| author_sort | Paul Triebkorn |
| collection | DOAJ |
| description | Abstract The capacity of the brain to process input across temporal scales is exemplified in human narrative, which requires integration of information ranging from words, over sentences to long paragraphs. It has been shown that this processing is distributed in a hierarchy across multiple areas in the brain with areas close to the sensory cortex, processing on a faster time scale than areas in associative cortex. In this study we used reservoir computing with human derived connectivity to investigate the effect of the structural connectivity on time scales across brain regions during a narrative task paradigm. We systematically tested the effect of removal of selected fibre bundles (IFO, ILF, MLF, SLF I/II/III, UF, AF) on the processing time scales across brain regions. We show that long distance pathways such as the IFO provide a form of shortcut whereby input driven activation in the visual cortex can directly impact distant frontal areas. To validate our model we demonstrated significant correlation of our predicted time scale ordering with empirical results from the intact/scrambled narrative fMRI task paradigm. This study emphasizes structural connectivity’s role in brain temporal processing hierarchies, providing a framework for future research on structure and neural dynamics across cognitive tasks. |
| format | Article |
| id | doaj-art-6ff2665d4178486c95820bb63f68b942 |
| institution | Kabale University |
| issn | 2399-3642 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj-art-6ff2665d4178486c95820bb63f68b9422025-02-09T12:50:35ZengNature PortfolioCommunications Biology2399-36422025-02-018111210.1038/s42003-025-07587-xSimulating the impact of white matter connectivity on processing time scales using brain network modelsPaul Triebkorn0Viktor Jirsa1Peter Ford Dominey2Aix Marseille Univ, INSERM, INS, Inst Neurosci SystAix Marseille Univ, INSERM, INS, Inst Neurosci SystInserm UMR1093-CAPS, Université Bourgogne Europe, UFR des Sciences du Sport, Campus UniversitaireAbstract The capacity of the brain to process input across temporal scales is exemplified in human narrative, which requires integration of information ranging from words, over sentences to long paragraphs. It has been shown that this processing is distributed in a hierarchy across multiple areas in the brain with areas close to the sensory cortex, processing on a faster time scale than areas in associative cortex. In this study we used reservoir computing with human derived connectivity to investigate the effect of the structural connectivity on time scales across brain regions during a narrative task paradigm. We systematically tested the effect of removal of selected fibre bundles (IFO, ILF, MLF, SLF I/II/III, UF, AF) on the processing time scales across brain regions. We show that long distance pathways such as the IFO provide a form of shortcut whereby input driven activation in the visual cortex can directly impact distant frontal areas. To validate our model we demonstrated significant correlation of our predicted time scale ordering with empirical results from the intact/scrambled narrative fMRI task paradigm. This study emphasizes structural connectivity’s role in brain temporal processing hierarchies, providing a framework for future research on structure and neural dynamics across cognitive tasks.https://doi.org/10.1038/s42003-025-07587-x |
| spellingShingle | Paul Triebkorn Viktor Jirsa Peter Ford Dominey Simulating the impact of white matter connectivity on processing time scales using brain network models Communications Biology |
| title | Simulating the impact of white matter connectivity on processing time scales using brain network models |
| title_full | Simulating the impact of white matter connectivity on processing time scales using brain network models |
| title_fullStr | Simulating the impact of white matter connectivity on processing time scales using brain network models |
| title_full_unstemmed | Simulating the impact of white matter connectivity on processing time scales using brain network models |
| title_short | Simulating the impact of white matter connectivity on processing time scales using brain network models |
| title_sort | simulating the impact of white matter connectivity on processing time scales using brain network models |
| url | https://doi.org/10.1038/s42003-025-07587-x |
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