New Paper: Stroke disconnectome decodes reading networks.
This study builds on novel methods to elucidate structure-function relationships by leveraging lesion data - An analytical framework for other cognitive domains.
Read the full paper here: https://link.springer.com/content/pdf/10.1007/s00429-022-02575-x.pdf
Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks.
In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict a typical lesion that would lead to reading deficits after brain damage.
Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left temporal, occipital, and inferior parietal gyri.
This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience.
Cite this paper: Forkel SJ, Labache L, Nachev P, Thiebaut de Schotten M, Hesling I. Stroke disconnectome decodes reading networks. Brain Struct Funct. 2022 Oct 3. doi: 10.1007/s00429-022-02575-x. Epub ahead of print.
#stroke #lesion #disconnectome #fmri #reading #anatomy