Beyond the arcuate fasciculus: consensus and controversy in the connectional anatomy of language
Abstract
The growing consensus that language is distributed into large-scale cortical and subcortical networks has brought with it an increasing focus on the connectional anatomy of language, or how particular fibre pathways connect regions within the language network. Understanding connectivity of the language network could provide critical insights into function, but recent investigations using a variety of methodologies in both humans and non-human primates have provided conflicting accounts of pathways central to language. Some of the pathways classically considered language pathways, such as the arcuate fasciculus, are now argued to be domain-general rather than specialized, which represents a radical shift in perspective. Other pathways described in the non-human primate remain to be verified in humans. In this review, we examine the consensus and controversy in the study of fibre pathway connectivity for language. We focus on seven fibre pathways-the superior longitudinal fasciculus and arcuate fasciculus, the uncinate fasciculus, extreme capsule, middle longitudinal fasciculus, inferior longitudinal fasciculus and inferior fronto-occipital fasciculus-that have been proposed to support language in the human. We examine the methods in humans and non-human primate used to investigate the connectivity of these pathways, the historical context leading to the most current understanding of their anatomy, and the functional and clinical correlates of each pathway with reference to lan…
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Anatomical tract identification results can be highly variable across studies due to a lack of consistent fiber tract definitions, and different methods may give different results for the same target anatomical fiber tracts.
“The third point is that anatomical tract identification results can be highly variable across studies due to a lack of consistent fiber tract definitions, where different methods may give different results for the same target anatomical fiber tracts (Dick and Tremblay, 2012; Rheault et al., 2020a; Schilling et al., 2020b).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Dick and Tremblay, 2012
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Rolston, J. D., Englot, D. J., Benet, A., Li, J., Cha, S., & Berger, M. S. (2015) · Journal of neurosurgery · doi:10.3171/2014.11.jns132172 · Cited by 52 · see citing works
- Authors
- Dick, A. S., & Tremblay, P.
- Affiliations
- Florida International University (US)
- Institut Universitaire en Santé Mentale de Québec (CA)
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-10-29
- Volume
- 135
- Issue
- 12
- Pages
- 3529-3550
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2139297841
- Cited by
- 470
- References
- 271
- Citations by year
- 2026: 19 · 2025: 18 · 2024: 32 · 2023: 37 · 2022: 50 · 2021: 44 · 2020: 30 · 2019: 35 · 2018: 37 · 2017: 31 · 2016: 41 · 2015: 46 · 2014: 30 · 2013: 18
- FWCI
- 2.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- Corpus Université Laval (Université Laval) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- arcuate fasciculus, superior longitudinal fasciculus, uncinate fasciculus, extreme capsule, middle longitudinal fasciculus, inferior longitudinal fasciculus, inferior fronto-occipital fasciculus, language network, white matter connectivity, language disorders
- MeSH terms
- Animals, Brain, Brain Mapping, Electric Stimulation, Humans, Language, Nerve Net, Neural Pathways, Neuroimaging
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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