Abstract
Using procedures optimized to explore network organization within the individual, the topography of a candidate language network was characterized and situated within the broader context of adjacent networks. The candidate network was first identified using functional connectivity and replicated across individuals, acquisition tasks, and analytical methods. In addition to classical language regions near the perisylvian cortex and temporal pole, regions were also observed in dorsal posterior cingulate, midcingulate, and anterior superior frontal and inferior temporal cortex. The candidate network was selectively activated when processing meaningful (as contrasted with nonword) sentences, whereas spatially adjacent networks showed minimal or even decreased activity. Results were replicated and triplicated across two prospectively acquired cohorts. Examined in relation to adjacent networks, the topography of the language network was found to parallel the motif of other association networks, including the transmodal association networks linked to theory of mind and episodic remembering (often collectively called the default network). The several networks contained juxtaposed regions in multiple association zones. Outside of these juxtaposed higher-order networks, we further noted a distinct frontotemporal network situated between language regions and a frontal orofacial motor region and a temporal auditory region. A possibility is that these functionally related sensorimotor regions might anchor specialization of neighboring association regions that develop into a language network. What is most striking is that the canonical language network appears to be just one of multiple similarly organized, differentially specialized distributed networks that populate the evolutionarily expanded zones of human association cortex. NEW & NOTEWORTHY This research shows that a language network can be identified within individuals using functional connectivity. Organizational details reveal that the language network shares a common spatial motif with other association networks, including default and frontoparietal control networks. The language network is activated by language task demands, whereas closely juxtaposed networks are not, suggesting that similarly organized but differentially specialized distributed networks populate association cortex.
Original language | English (US) |
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Pages (from-to) | 1415-1448 |
Number of pages | 34 |
Journal | Journal of neurophysiology |
Volume | 124 |
Issue number | 5 |
DOIs | |
State | Published - Nov 11 2020 |
Funding
R.M.B. was supported by Wellcome Trust Grant 103980/Z/14/Z and National Institutes of Health (NIH) Pathway to Independence Award Grant K99MH117226. L.M.D. was supported by National Science Foundation Grant DGE-1745303 (the opinions, findings, and conclusions expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation). This work was also supported by Kent and Liz Dauten, NIH Grant P50-MH-106435, and Shared Instrumentation Grant S10OD020039. We thank the Harvard Center for Brain Science neuroimaging core and FAS Division of Research Computing for support. A. Youssoufian, E. Phlegar, and M. K. Drews assisted in data acquisition. R. M. Hutchison assisted with task coding and data acquisition. A. Rodman kindly provided illustrations that were used as cues in the motor localizer task. H. Hoke, T. O'Keefe, R. Mair, and S. McMains assisted with data processing optimization. The multiband EPI sequence was generously provided by the Center for Magnetic Resonance Research (CMRR) at the University of Minnesota. We thank E. Fedorenko for stimuli and thoughtful discussion. R.M.B. was supported by Wellcome Trust Grant 103980/Z/14/Z and National Institutes of Health (NIH) Pathway to Independence Award Grant K99MH117226. L.M.D. was supported by National Science Foundation Grant DGE-1745303 (the opinions, findings, and conclusions expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation). This work was also supported by Kent and Liz Dauten, NIH Grant P50-MH-106435, and Shared Instrumentation Grant S10OD020039.
Keywords
- Broca's area
- Distributed association networks
- Intrinsic functional connectivity
- Language
- Wernicke's area
ASJC Scopus subject areas
- General Neuroscience
- Physiology