Separating feedforward and feedback dynamics using time-frequency-resolved connectivity: a hybrid model of left ventral occipitotemporal cortex in word reading

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorYou, Jiaxin
dc.contributor.authorHauk, Olaf
dc.contributor.authorSalmelin, Riitta
dc.contributor.authorvan Vliet, Marijn
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineeringen
dc.contributor.organizationMRC Cognition and Brain Sciences Unit
dc.date.accessioned2026-01-02T16:03:31Z
dc.date.available2026-01-02T16:03:31Z
dc.date.issued2025-12-02
dc.description.abstractLeft ventral occipitotemporal cortex (vOT) is crucial in reading, yet its functional role is viewed either as a prelexical feedforward hub or a bidirectional interface between sensory and higher-order linguistic systems. The two competing views have usually been considered mutually exclusive. To comprehensively explain the functional complexity of left vOT, we investigated the temporal and spectral dynamics of information flows involving left vOT during visual word and pseudoword reading using magnetoencephalography (MEG) and two directed connectivity metrics, i.e., phase slope index (PSI) and Granger causality (GC). Specifically, feedforward connectivity from low-level visual areas to vOT was observed for all conditions, with the strength of orthographic information flow to left superior temporal cortex (ST) modulated by stimulus word-likeness. Conversely, feedback flow from left ST to vOT appeared for pseudowords that allow top-down linguistic constraints to facilitate reading, and occurred later for word-like than complete pseudowords. Our findings suggest that left vOT during word reading functions in a hybrid manner: operating in efficient feedforward mode for familiar word recognition while flexibly recruiting bidirectional processing for unfamiliar pseudowords. By disentangling feedforward and feedback dynamics with high temporal and spectral resolution, we empirically reconcile competing theories of vOT function.en
dc.description.versionPeer revieweden
dc.format.extent20
dc.format.mimetypeapplication/pdf
dc.identifier.citationYou, J, Hauk, O, Salmelin, R & van Vliet, M 2025, 'Separating feedforward and feedback dynamics using time-frequency-resolved connectivity: a hybrid model of left ventral occipitotemporal cortex in word reading', Imaging Neuroscience, vol. 3, IMAG.a.1064. https://doi.org/10.1101/2025.06.20.660651, https://doi.org/10.1162/IMAG.a.1064en
dc.identifier.doi10.1101/2025.06.20.660651
dc.identifier.issn2837-6056
dc.identifier.otherPURE UUID: bb534028-9aa3-47df-8aac-98a55e30e80d
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/bb534028-9aa3-47df-8aac-98a55e30e80d
dc.identifier.otherPURE LINK: https://github.com/AaltoImagingLanguage/you2025
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/204404975/You_et_al._-_2025_-_Separating_feedforward_and_feedback_dynamics_using_time_frequency_resolved_connectivity_A_hybrid_mo.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/141637
dc.identifier.urnURN:NBN:fi:aalto-202601021026
dc.language.isoenen
dc.publisherMIT Press
dc.relation.fundinginfoThis work was funded by the Academy of Finland (#346585 and #343385 to M.v.V., #355407 to R.S.), the Sigrid Jusélius Foundation (to R.S.), the Medical Research Council (UK: MC UU 00030/9 to O.H.), and the China Scholarship Council (#202206100022 to J.Y.). For the purpose of open access, the UKRI-funded author O.H. has applied a Creative Commons Attribution (CC BY) license to any Author Accepted Manuscript version arising from this submission.
dc.relation.ispartofseriesImaging Neuroscienceen
dc.relation.ispartofseriesVolume 3en
dc.rightsopenAccessen
dc.rightsCC BY-NC
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.titleSeparating feedforward and feedback dynamics using time-frequency-resolved connectivity: a hybrid model of left ventral occipitotemporal cortex in word readingen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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