The DOI matches its Crossref record; 60 of the 61 references it cites were found in a registry or an index.
Damage to the anterior arcuate fasciculus predicts non-fluent speech production in aphasia
Open accessAbstract
Non-fluent aphasia implies a relatively straightforward neurological condition characterized by limited speech output. However, it is an umbrella term for different underlying impairments affecting speech production. Several studies have sought the critical lesion location that gives rise to non-fluent aphasia. The results have been mixed but typically implicate anterior cortical regions such as Broca's area, the left anterior insula, and deep white matter regions. To provide a clearer picture of cortical damage in non-fluent aphasia, the current study examined brain damage that negatively influences speech fluency in patients with aphasia. It controlled for some basic speech and language comprehension factors in order to better isolate the contribution of different mechanisms to fluency, or its lack. Cortical damage was related to overall speech fluency, as estimated by clinical judgements using the Western Aphasia Battery speech fluency scale, diadochokinetic rate, rudimentary auditory language comprehension, and executive functioning (scores on a matrix reasoning test) in 64 patients with chronic left hemisphere stroke. A region of interest analysis that included brain regions typically implicated in speech and language processing revealed that non-fluency in aphasia is primarily predicted by damage to the anterior segment of the left arcuate fasciculus. An improved prediction model also included the left uncinate fasciculus, a white matter tract connecting the middle and anterior temporal lobe with frontal lobe regions, including the pars triangularis. Models that controlled for diadochokinetic rate, picture-word recognition, or executive functioning also revealed a strong relationship between anterior segment involvement and speech fluency. Whole brain analyses corroborated the findings from the region of interest analyses. An additional exploratory analysis revealed that involvement of the uncinate fasciculus adjudicated between Broca's and global aphasia, the two most common kinds of non-fluent aphasia. In summary, the current results suggest that the anterior segment of the left arcuate fasciculus, a white matter tract that lies deep to posterior portions of Broca's area and the sensory-motor cortex, is a robust predictor of impaired speech fluency in aphasic patients, even when motor speech, lexical processing, and executive functioning are included as co-factors. Simply put, damage to those regions results in non-fluent aphasic speech; when they are undamaged, fluent aphasias result.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Damage to each of these white/grey matter regions has been associated with speech production impairments in prior lesion studies”
From Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (2021) · cites this paper as Fridriksson et al., 2013
In the citing paper
“a previous well-powered lesion study was unable to establish a significant relationship between persistent speech production impairments and damage to either of these white matter tracts after controlling for damage to the anterior segment of the arcuate fasciculus (Fridriksson et al., 2013)”
From Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (2021) · cites this paper as Fridriksson et al., 2013
In the citing paper
“These probability thresholds are within the range of those used in previous studies”
From Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (2021) · cites this paper as Fridriksson et al., 2013
In the citing paper
“Our findings support prior conclusions that white matter, above the insula, in the vicinity of aAF is important for speech production (Fridriksson et al., 2013)”
From Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (2021) · cites this paper as Fridriksson et al., 2013
In the citing paper
“persistent speech production impairments as a consequence of stroke damage to aAF have been reported in prior studies that did (Marchina et al., 2011) and did not collect (Fridriksson et al., 2013) DTI data to quantify structural abnormality in white matter pathways.”
From Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (2021) · cites this paper as Fridriksson et al., 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
The cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495
Higher cortical functions in man
Lurii︠a︡, A. R., Teuber, H., Pribram, K. H., & Haigh, B. (1966) · Basic Books · Cited by 2,858
Stereotaxic Display of Brain Lesions
Rorden, C., & Brett, M. (2000) · Behavioural Neurology · doi:10.1155/2000/421719 · Cited by 2,573
Meta-analyzing left hemisphere language areas: phonology, semantics, and sentence processing.
Vigneau, M., Beaucousin, V., Hervé, P. Y., Duffau, H., Crivello, F., Houdé, O., Mazoyer, B., & Tzourio-Mazoyer, N. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.002 · Cited by 1,851
Perisylvian language networks of the human brain
Catani, M., Jones, D. K., & ffytche, D. H. (2005) · Annals of Neurology · doi:10.1002/ana.20319 · Cited by 1,832
Hécaen, H. (1983) · Neuropsychologia · doi:10.1016/0028-3932(83)90089-1 · Cited by 1,697
A neural basis for lexical retrieval
Damásio, H., Grabowski, T. J., Tranel, D., Hichwa, R. D., & Damásio, A. R. (1996) · Nature · doi:10.1038/380499a0 · Cited by 1,587
Voxel-based lesion-symptom mapping
Bates, E., Wilson, S. M., Saygin, A. P., Dick, F., Sereno, M. I., Knight, R. T., & Dronkers, N. F. (2003) · Nature Neuroscience · doi:10.1038/nn1050 · Cited by 1,457
Human Brain Language Areas Identified by Functional Magnetic Resonance Imaging
Binder, J. R., Frost, J. A., Hammeke, T. A., Cox, R. W., Rao, S. M., & Prieto, T. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-01-00353.1997 · Cited by 1,424
The anatomy of language: contributions from functional neuroimaging
Price, C. J. (2000) · Journal of Anatomy · doi:10.1046/j.1469-7580.2000.19730335.x · Cited by 1,352
DISEASES OF THE NERVOUS SYSTEM
Jelliffe, S. E., & White, W. A. (1918) · The American Journal of the Medical Sciences · doi:10.1097/00000441-191803000-00015 · Cited by 1,281
Rare and common variants: twenty arguments
Gibson, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3118 · Cited by 1,278
(2012) · Springer eBooks · doi:10.1007/springerreference_183812 · Cited by 1,218
THE ANATOMY OF PHONOLOGICAL AND SEMANTIC PROCESSING IN NORMAL SUBJECTS
Démonet, J., Chollet, F., Ramsay, S. C., Cardebat, D., Nespoulous, J., WISE, R., Rascol, A., & Frackowiak, R. S. J. (1992) · Brain · doi:10.1093/brain/115.6.1753 · Cited by 1,157
Spatial Normalization of Brain Images with Focal Lesions Using Cost Function Masking
Brett, M., Leff, A. P., Rorden, C., & Ashburner, J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0845 · Cited by 931
Neural modeling and imaging of the cortical interactions underlying syllable production
Guenther, F. H., Ghosh, S. S., & Tourville, J. A. (2006) · Brain and Language · doi:10.1016/j.bandl.2005.06.001 · Cited by 879
DISTRIBUTION OF CORTICAL NEURAL NETWORKS INVOLVED IN WORD COMPREHENSION AND WORD RETRIEVAL
WISE, R., Chollet, F., Hadar, U., Friston, K. J., HOFFNER, E., & Frackowiak, R. S. J. (1991) · Brain · doi:10.1093/brain/114.4.1803 · Cited by 876
Computational neuroanatomy of speech production
Hickok, G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3158 · Cited by 837
Age-specific CT and MRI templates for spatial normalization
Rorden, C., Bonilha, L., Fridriksson, J., Bender, B., & Karnath, H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.020 · Cited by 753
The Cortical Representation of Speech
Mazoyer, B. M., Tzourio‐Mazoyer, N., Frak, V., Syrota, A., Murayama, N., Levrier, O., Salamon, G., Dehaene, S., Cohen, L., & Mehler, J. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.4.467 · Cited by 731
(2012) · Springer eBooks · doi:10.1007/springerreference_183701 · Cited by 595
THE CORTICAL LOCALIZATION OF THE LEXICONS: POSITRON EMISSION TOMOGRAPHY EVIDENCE
HOWARD, D., PATTERSON, K., WISE, R., BROWN, W. D., FRISTON, K., WEILLER, C., & FRACKOWIAK, R. (1992) · Brain · doi:10.1093/brain/115.6.1769 · Cited by 585
Broca aphasia: Pathologic and clinical
MOHR, J. P., PESSIN, M. S., FINKELSTEIN, S., FUNKENSTEIN, H. H., DUNCAN, G. W., & DAVIS, K. R. (1978) · Neurology · doi:10.1212/wnl.28.4.311 · Cited by 549
Functional MRI measurement of language Lateralization in Wada-tested patients
Desmond, J. E., Sum, J. M., Wagner, A. D., Demb, J. B., Shear, P. K., Glover, G. H., Gabrieli, J. D. E., & Morrell, M. J. (1995) · Brain · doi:10.1093/brain/118.6.1411 · Cited by 503
Re-examining the brain regions crucial for orchestrating speech articulation
Hillis, A. E., Work, M., Barker, P. B., Jacobs, M. A., Breese, E., & Maurer, K. (2004) · Brain · doi:10.1093/brain/awh172 · Cited by 485
Beyond the arcuate fasciculus: consensus and controversy in the connectional anatomy of language
Dick, A. S., & Tremblay, P. (2012) · Brain · doi:10.1093/brain/aws222 · Cited by 470
Visser, M., Jefferies, E., Embleton, K. V., & Lambon Ralph, M. A. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00244 · Cited by 369
NAESER, M. A., PALUMBO, C. L., HELM-ESTABROOKS, N., STIASSNY-EDER, D., & ALBERT, M. L. (1989) · Brain · doi:10.1093/brain/112.1.1 · Cited by 298
Celsis, P., Boulanouar, K., Doyon, B., Ranjeva, J., Berry, I., Nespoulous, J., & Chollet, F. (1999) · NeuroImage · doi:10.1006/nimg.1998.0389 · Cited by 284
Neural Models of Language Processes
(1982) · Elsevier eBooks · doi:10.1016/b978-0-12-059780-2.x5001-3 · Cited by 272
Lesion Mapping of Cognitive Abilities Linked to Intelligence
Gläscher, J. P., Tranel, D., Paul, L. K., Rudrauf, D., Rorden, C., Hornaday, A., Grabowski, T. J., Damásio, H., & Adolphs, R. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.026 · Cited by 269
Beyond cortical localization in clinico-anatomical correlation
Catani, M., Dell’Acqua, F., Bizzi, A., Forkel, S. J., Williams, S., Simmons, A., Murphy, D., & de Schotten, M. T. (2012) · Cortex · doi:10.1016/j.cortex.2012.07.001 · Cited by 268
TYLER, L. K., Marslen‐Wilson, W. D., Randall, B., Wright, P. K., Devereux, B. J., Zhuang, J., Papoutsi, M., & Stamatakis, E. A. (2011) · Brain · doi:10.1093/brain/awq369 · Cited by 263
Computer tomographic localization, lesion size, and prognosis in aphasia and nonverbal impairment
KERTESZ, A. E., Harlock, W., & Coates, R. (1979) · Brain and Language · doi:10.1016/0093-934x(79)90038-5 · Cited by 248
Cost function masking during normalization of brains with focal lesions: Still a necessity?
Andersen, S., Rapcsak, S. Z., & Beeson, P. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.003 · Cited by 232
Xu, B. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.3.267 · Cited by 210
Albert, M. L., Goodglass, H., Helm‐Estabrooks, N., et al. (1981) · Disorders of human communication · doi:10.1007/978-3-7091-8605-3 · Cited by 197
Higher Cortical Functions in Man
Krieg, W. J. S. (1966) · JAMA · doi:10.1001/jama.1966.03110040111037 · Cited by 185
The Symptom Complex of Aphasia
Wernicke, C. (1969) · Boston studies in the philosophy of science · doi:10.1007/978-94-010-3378-7_2 · Cited by 182
Language Function, Foot of the Third Frontal Gyrus, and Rolandic Operculum
Tonkonogy, J., & Goodglass, H. (1981) · Archives of Neurology · doi:10.1001/archneur.1981.00510080048005 · Cited by 164
Speech entrainment enables patients with Broca's aphasia to produce fluent speech
Fridriksson, J., Hubbard, H. I., Hudspeth, S. G., Holland, A. L., Bonilha, L., Fromm, D., & Rorden, C. (2012) · Brain · doi:10.1093/brain/aws301 · Cited by 163
An evaluation of traditional and novel tools for lesion behavior mapping
Rorden, C., Fridriksson, J., & Karnath, H. ‐. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.031 · Cited by 161
Dissociations between fluency and agrammatism in primary progressive aphasia
Thompson, C. K., Cho, S., Hsu, C.-J., Wieneke, C., RADEMAKER, A. W., Weitner, B. B., Mesulam, M. M., & Weıntraub, S. (2011) · Aphasiology · doi:10.1080/02687038.2011.584691 · Cited by 153
Architecture of fluid intelligence and working memory revealed by lesion mapping
Barbey, A. K., Colom, R., Paul, E. J., & Grafman, J. H. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0512-z · Cited by 148
Salus, M. W. (1983) · Language · doi:10.2307/413411 · Cited by 138
What the classical aphasia categories can't do for us, and why
Schwartz, M. F. (1984) · Brain and Language · doi:10.1016/0093-934x(84)90031-2 · Cited by 116
Re-establishing Broca's initial findings
Richardson, J. D., Fillmore, P., Rorden, C., LaPointe, L. L., & Fridriksson, J. (2012) · Brain and Language · doi:10.1016/j.bandl.2012.08.007 · Cited by 109
Dissociating neuro-cognitive component processes: voxel-based correlational methodology
TYLER, L. K., Marslen‐Wilson, W. D., & Stamatakis, E. A. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.07.020 · Cited by 103
Leavitt, V. M. (2010) · Springer eBooks · doi:10.1007/978-0-387-79948-3_1068 · Cited by 101
The Characteristics Of Aphasia
(1989) · CRC Press eBooks · doi:10.1201/b15069 · Cited by 97
Ochfeld, E., Newhart, M., Molitoris, J., Leigh, R., Cloutman, L., Davis, C., Crinion, J., & Hillis, A. E. (2010) · Stroke · doi:10.1161/strokeaha.109.570374 · Cited by 71
The fluency dimension in aphasia
Gordon, J. K. (1998) · Aphasiology · doi:10.1080/02687039808249565 · Cited by 61
Acres, K., Taylor, K. I., Moss, H. E., et al. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.02.024 · Cited by 58
WAIS-III Matrix Reasoning test performance in a mixed clinical sample.
Dugbartey, A., Sanchez, P., Rosenbaum, J., Mahurin, R. K., Davis, J., & Townes, B. (1999) · Clinical Neuropsychologist · doi:10.1076/1385-4046(199911)13:04;1-y;ft396 · Cited by 41
Taylor, M. L. (1959) · AJN American Journal of Nursing · doi:10.1097/00000446-195903000-00033 · Cited by 39
The characteristics of aphasia
Jennekens-Schinkel, A. (1990) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(90)90123-5 · Cited by 27
Levine, D. N., & Sweet, E. (1982) · Elsevier eBooks · doi:10.1016/b978-0-12-059780-2.50023-1 · Cited by 15
Did Leborgne have one or two speech automatisms?
Code, C. (2013) · Journal of the History of the Neurosciences · doi:10.1080/0964704x.2013.776296 · Cited by 14
Research works printed but not linked: 7
- Broca, 1861, Remarques sur le sie‘ge de la faculté du langage articulé: suivies d’une observation d’aphemie, Bull Soc Anat, 6, 330
- Dabul, 2000, Apraxia battery for adults
- Goodglass, 2000, Boston Diagnostic Aphasia Examination-Third edition (BDAE-3)
- McNeil, 1982, The nature of aphasia in adults, 692
- Nielsen, 1939, The unsolved problems in aphasia. II. Alexia resulting from a temporal lesion, Bull Los Angeles Neurol Soc, 4, 168
- Poeck, 1989, Fluency, 23
- Wechsler, 1997, Weschler Adult Intelligence Scale
Cited by
Sorted by citations
Mapping Symptoms to Brain Networks with the Human Connectome
Fox, M. (2018) · New England Journal of Medicine · doi:10.1056/nejmra1706158 · Cited by 714
Visser, M., Jefferies, E., Embleton, K. V., & Lambon Ralph, M. A. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00244 · Cited by 369
Advanced lesion symptom mapping analyses and implementation as BCBtoolkit
Foulon, C., Cerliani, L., Kinkingnéhun, S., Lévy, R., Rosso, C., Urbanski, M., Volle, E., & de Schotten, M. T. (2018) · GigaScience · doi:10.1093/gigascience/giy004 · Cited by 362
“Non-local effects of lesions have previously been explored using various forms of atlas-based analyses of tract damage [22-31], lesion-driven tractography [31-33], disconnectomemapping [34-38] and lesion-driven resting state fMRI (rs-fMRI) connectivity [33, 39].”
Forkel, S. J., de Schotten, M. T., Dell’Acqua, F., Kalra, L., Murphy, D., Williams, S., & Catani, M. (2014) · Brain · doi:10.1093/brain/awu113 · Cited by 322
“This suggests that while both direct and indirect pathways on the left hemisphere are involved in language functions (Fridriksson et al., 2013), in the right hemi- sphere the two pathways may have a different role (Corbetta et al., 2000; Kaplan et al., 2008; Thiebaut de Schotten et al., 2011a).”
BackgroundHerbet, G., & Duffau, H. (2020) · Physiological Reviews · doi:10.1152/physrev.00033.2019 · Cited by 321
Metadata
- Authors
- Fridriksson, J., Guo, D., Fillmore, P., Holland, A., & Rorden, C.
- Affiliations
- University of South Carolina (US)
- University of Arizona (US)
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-10-15
- Volume
- 136
- Issue
- 11
- Pages
- 3451-3460
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC3808690
- OpenAlex
- W2124041025
- Semantic Scholar
- 69f0e3ec6bfd102fd2bca9399f7f99f2b9535a96
- Cited by
- 172
- References
- 61
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 13 · 2023: 14 · 2022: 22 · 2021: 16 · 2020: 18 · 2019: 14 · 2018: 12 · 2017: 14 · 2016: 9 · 2015: 11 · 2014: 7
- FWCI
- 4.94
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Deafness and Other Communication Disorders (R01DC008355, R01DC009571, DC-009571, DC008355)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hemispheric Asymmetry in Neuroscience
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Keywords
- non-fluent aphasia, arcuate fasciculus, uncinate fasciculus, speech fluency, left hemisphere stroke, Broca's area, white matter tracts, global aphasia, Broca's aphasia, executive function, diadochokinesis, auditory language comprehension
- MeSH terms
- Aged, Aphasia, Broca, Cerebral Cortex, Female, Humans, Language Tests, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Neuropsychological Tests, Predictive Value of Tests, Cohort Studies, Cerebrum
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
