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.
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Damage to each of the selected white/grey matter regions has been associated with speech production impairments in prior lesion studies.
“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
A previous well-powered lesion study was unable to establish a significant relationship between persistent speech production impairments and damage to either the inferior fronto-occipital fasciculus or the long segment of the arcuate fasciculus after controlling for damage to the anterior segment of the arcuate fasciculus.
“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
These probability thresholds are within the range of those used in previous studies.
“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
The findings support prior conclusions that white matter, above the insula, in the vicinity of aAF is important for speech production.
“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
Persistent speech production impairments as a consequence of stroke damage to aAF have been reported in prior studies that did and did not collect DTI data.
“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
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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 · see citing works
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 · see citing works
The cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495 · see citing works
Higher cortical functions in man
Lurii︠a︡, A. R., Teuber, H., Pribram, K. H., & Haigh, B. (1966) · Basic Books · Cited by 2,858 · see citing works
Stereotaxic Display of Brain Lesions
Rorden, C., & Brett, M. (2000) · Behavioural Neurology · doi:10.1155/2000/421719 · Cited by 2,573 · see citing works
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 · see citing works
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 · see citing works
Hécaen, H. (1983) · Neuropsychologia · doi:10.1016/0028-3932(83)90089-1 · Cited by 1,700 · see citing works
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 1,602 · see citing works
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 · see citing works
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 · see citing works
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 1,334 · see citing works
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 · see citing works
Rare and common variants: twenty arguments
Gibson, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3118 · Cited by 1,278 · see citing works
(2012) · Springer eBooks · doi:10.1007/springerreference_183812 · Cited by 1,218 · see citing works
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 1,145 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Computational neuroanatomy of speech production
Hickok, G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3158 · Cited by 837 · see citing works
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 728 · see citing works
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 712 · see citing works
(2012) · SpringerReference · doi:10.1007/springerreference_183701 · Cited by 595 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 476 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Neural Models of Language Processes
(1982) · Elsevier eBooks · doi:10.1016/b978-0-12-059780-2.x5001-3 · Cited by 272 · see citing works
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 258 · see citing works
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 258 · see citing works
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 · see citing works
Beyond cortical localization in clinico-anatomical correlation.
Catani, M., Dell'Acqua, F., Bizzi, A., Forkel, S., Williams, S. C. R., Simmons, A., Murphy, D., & de Schotten, M. T. (2012) · Cortex; a journal devoted to the study of the nervous system and behavior · doi:10.1016/j.cortex.2012.07.001 · Cited by 244 · see citing works
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 · see citing works
Xu, B. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.3.267 · Cited by 206 · see citing works
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 · see citing works
Higher Cortical Functions in Man
Krieg, W. J. S. (1966) · JAMA · doi:10.1001/jama.1966.03110040111037 · Cited by 185 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 152 · see citing works
Dissociations between fluency and agrammatism in primary progressive aphasia
Thompson, C. K., Cho, S., Hsu, C.-J., Wieneke, C. A., RADEMAKER, A. W., Weitner, B. B., Mesulam, M. M., & Weıntraub, S. (2011) · Aphasiology · doi:10.1080/02687038.2011.584691 · Cited by 150 · see citing works
Architecture of fluid intelligence and working memory revealed by lesion mapping
Barbey, A., Colom, R., Paul, E., & Grafman, J. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0512-z · Cited by 142 · see citing works
Salus, M. W. (1983) · Language · doi:10.2307/413411 · Cited by 138 · see citing works
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 · see citing works
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 · see citing works
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 105 · see citing works
Leavitt, V. M. (2010) · Springer eBooks · doi:10.1007/978-0-387-79948-3_1068 · Cited by 101 · see citing works
The Characteristics Of Aphasia
(1989) · CRC Press eBooks · doi:10.1201/b15069 · Cited by 97 · see citing works
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 · see citing works
The fluency dimension in aphasia
Gordon, J. K. (1998) · Aphasiology · doi:10.1080/02687039808249565 · Cited by 61 · see citing works
Acres, K., Taylor, K. I., Moss, H. E., et al. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.02.024 · Cited by 58 · see citing works
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 · see citing works
Taylor, M. L. (1959) · AJN American Journal of Nursing · doi:10.1097/00000446-195903000-00033 · Cited by 39 · see citing works
The characteristics of aphasia
Jennekens-Schinkel, A. (1990) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(90)90123-5 · Cited by 27 · see citing works
Levine, D. N., & Sweet, E. (1982) · Elsevier eBooks · doi:10.1016/b978-0-12-059780-2.50023-1 · Cited by 15 · see citing works
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 · see citing works
Flagged first, then by citations
1 of the 61 references couldn’t be matched to a known paper.
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 630 · see citing works
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 · see citing works
Advanced lesion symptom mapping analyses and implementation as BCBtoolkit
Foulon, C., Cerliani, L., Kinkingnéhun, S., Lévy, R., Rosso, C., Urbanski, M., Emmanuelle Volle, C., & de Schotten, M. T. (2018) · GigaScience · doi:10.1093/gigascience/giy004 · Cited by 359 · see citing works
“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 305 · see citing works
“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 299 · see citing works
Ivanova, M. V., Isaev, D. Y., Dragoy, O. V., Akinina, Y. S., Petrushevskiy, A. G., Fedina, O. N., Shklovsky, V. M., & Dronkers, N. F. (2016) · Cortex · doi:10.1016/j.cortex.2016.04.019 · Cited by 221 · see citing works
“Contrary to previous findings (Fridriksson et al., 2013) no significant relationship between the anterior segment of the AF and language processing was found in the present Please cite this article in press as: Ivanova, M. V., et al., Diffusion-tens processing in aphasia, Cortex (2016),…”
ResultStructural disconnections explain brain network dysfunction after stroke
Griffis, J. C., Metcalf, N. V., Corbetta, M., & Shulman, G. L. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.07.100 · Cited by 213 · see citing works
Improved accuracy of lesion to symptom mapping with multivariate sparse canonical correlations
Pustina, D., Avants, B., Faseyitan, O. K., Medaglia, J. D., & Coslett, H. B. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.08.027 · Cited by 183 · see citing works
Population-based tract-to-region connectome of the human brain and its hierarchical topology
Yeh, F.-C. F. (2022) · Nature Communications · doi:10.1038/s41467-022-32595-4 · Cited by 184 · see citing works
Damage to Broca’s area does not contribute to long-term speech production outcome after stroke
Gajardo-Vidal, A., Lorca-Puls, D. L., team, P., Warner, H., Pshdary, B., Crinion, J. T., Leff, A. P., Hope, T. M. H., Geva, S., Seghier, M. L., et al. (2021) · Brain · doi:10.1093/brain/awaa460 · Cited by 150 · see citing works
“, 2011) and did not collect (Fridriksson et al., 2013) DTI data to quantify structural abnormality in white matter pathways.”
BackgroundMethodResultInfluentialBiesbroek, J. M., van Zandvoort, M. J. E., Kappelle, L. J., Velthuis, B. K., Biessels, G. J., & Postma, A. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1033-8 · Cited by 150 · see citing works
“For this reason, VLSM analyses are often not corrected for total infarct volume (Baldo et al. 2006; Haramati et al. 2008; Molenberghs and Sale 2011; Vossel et al. 2011; Fridriksson et al. 2013; Mag-nusdottir et al. 2013).”
Griffis, J. C., Metcalf, N. V., Corbetta, M., & Shulman, G. L. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102639 · Cited by 140 · see citing works
“…lesion’s expected impact on specific grey matter regions and white matter connections (Carter et al., 2012; Catani et al., 2012; Foulon et al., 2018; Fridriksson et al., 2013; Griffis et al., 2020, 2019, 2017a, 2017b; Hope et al., 2015; Kuceyeski et al., 2015, 2016; Pacella et al., 2019; Thiebaut…”
BackgroundInfluentialRecovery from aphasia in the first year after stroke
Wilson, S. M., Entrup, J. L., Schneck, S. M., Onuscheck, C. F., Levy, D. F., Rahman, M., Willey, E., Casilio, M., Yen, M., Brito, A. C., et al. (2022) · Brain · doi:10.1093/brain/awac129 · Cited by 149 · see citing works
Chronic Broca's Aphasia Is Caused by Damage to Broca's and Wernicke's Areas
Fridriksson, J., Fillmore, P., Guo, D., & Rorden, C. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu152 · Cited by 132 · see citing works
Regional white matter damage predicts speech fluency in chronic post-stroke aphasia
Basilakos, A., Fillmore, P. T., Rorden, C., Guo, D., Bonilha, L., & Fridriksson, J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00845 · Cited by 122 · see citing works
Basilakos, A., Rorden, C., Bonilha, L., Moser, D., & Fridriksson, J. (2015) · Stroke · doi:10.1161/strokeaha.115.009211 · Cited by 115 · see citing works
Hope, T. M. H., Leff, A. P., Prejawa, S., Bruce, R. M., Haigh, Z., Lim, L., Ramsden, S., Oberhuber, M., Ludersdorfer, P., Crinion, J., et al. (2017) · Brain · doi:10.1093/brain/awx086 · Cited by 106 · see citing works
Transient aphasias after left hemisphere resective surgery
Wilson, S. M., Lam, D., Babiak, M. C., Perry, D. W., Shih, T., Hess, C. P., Berger, M. S., & Chang, E. F. (2015) · Journal of neurosurgery · doi:10.3171/2015.4.jns141962 · Cited by 106 · see citing works
Functional Contributions of the Arcuate Fasciculus to Language Processing
Ivanova, M. V., Zhong, A. J., Turken, A. U., Baldo, J. V., & Dronkers, N. F. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.672665 · Cited by 108 · see citing works
“Accordingly, numerous clinical studies, using different methods of analysis, have linked damage of the AF to deficits of various language faculties: speech fluency (Bates et al., 2003; Marchina et al., 2011; Fridriksson et al., 2013; Wang et al., 2013; Hope et al., 2016), informativeness of spontaneous speech (Marchin…”
BackgroundDamage to white matter bottlenecks contributes to language impairments after left hemispheric stroke
Griffis, J. C., Nenert, R., Allendorfer, J. B., & Szaflarski, J. P. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.02.019 · Cited by 87 · see citing works
The Western Aphasia Battery: a systematic review of research and clinical applications
KERTESZ, A. E. (2020) · Aphasiology · doi:10.1080/02687038.2020.1852002 · Cited by 95 · see citing works
“Impaired auditory word-picture recognition was associated with damage to the left temporal lobe, particularly in the underlying white matter tracts (Fridriksson et al., 2013).”
BackgroundEnhanced estimations of post‐stroke aphasia severity using stacked multimodal predictions
Pustina, D., Coslett, H. B., Ungar, L., Faseyitan, O. K., Medaglia, J. D., Avants, B., & Schwartz, M. F. (2017) · Human Brain Mapping · doi:10.1002/hbm.23752 · Cited by 86 · see citing works
“For example, aphasia deficits have been found frequently to correlate with white matter damage [Dronkers et al., 2007; Forkel et al., 2014; Fridriksson et al., 2013; Marchina et al., 2011; Mirman et al., 2015].”
BackgroundAlyahya, R. S. W., Halai, A. D., Conroy, P., & Ralph, M. A. L. (2020) · Brain · doi:10.1093/brain/awaa074 · Cited by 92 · see citing works
“, 2007), and white matter tracts, corresponding to the anterior segment of the arcuate fasciculus (Fridriksson et al., 2013; Basilakos et al., 2014) and the frontal aslant tract (Catani et al.”
BackgroundSensorimotor impairment of speech auditory feedback processing in aphasia
Behroozmand, R., Johnson, L. P., Johari, K., Bonilha, L., Rorden, C., Hickok, G. S., & Fridriksson, J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.014 · Cited by 86 · see citing works
Predicting language outcomes after stroke: Is structural disconnection a useful predictor?
Hope, T. M. H., Leff, A. P., & Price, C. J. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.03.037 · Cited by 85 · see citing works
The impact of sample size on the reproducibility of voxel-based lesion-deficit mappings
Lorca‐Puls, D. L., Gajardo‐Vidal, A., White, J., Seghier, M. L., Leff, A. P., Green, D. W., Crinion, J., Ludersdorfer, P., Hope, T. M. H., Bowman, H., et al. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.03.014 · Cited by 82 · see citing works
Norise, C., & Hamilton, R. H. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00675 · Cited by 80 · see citing works
“…understanding of the neurobiology of language and cognitive neuroscience has revealed the importance of dynamic alteration of the normally left-hemisphere dominant language network in the setting of aphasia and aphasia recovery (Fridriksson, 2010; Hamilton et al., 2011; Fridriksson et al., 2013).”
BackgroundThe anatomy of visuospatial construction revealed by lesion-symptom mapping
Biesbroek, J. M., van Zandvoort, M. J. E., Kuijf, H. J., Weaver, N. A., Kappelle, L. J., Vos, P. C., Velthuis, B. K., Biessels, G. J., & Postma, A. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.07.013 · Cited by 78 · see citing works
Kent, R. D., Kim, Y., & Chen, L.-M. (2021) · Journal of Speech Language and Hearing Research · doi:10.1044/2021_jslhr-21-00396 · Cited by 77 · see citing works
Campana, S., Caltagirone, C., & Marangolo, P. (2015) · Brain stimulation · doi:10.1016/j.brs.2015.01.413 · Cited by 76 · see citing works
Mormina, E., Longo, M., Arrigo, A., Alafaci, C., Tomasello, F. F., Calamuneri, A., Marino, S., Gaeta, M., Vinci, S. L., & Granata, F. (2015) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4368 · Cited by 75 · see citing works
“The evaluation of this AF segment is considered an important predictor of postoperative outcome because a lesion in the anterior portion of AF could cause negative effects on speech fluency.(28) DTI approaches have tractographic reconstruction limitations in the centrum semiovale, due to the presence of crossing fiber…”
BackgroundA disconnection account of subjective empathy impairments in diffuse low-grade glioma patients
Herbet, G., Lafargue, G., Moritz‐Gasser, S., de Champfleur, N. M., Costi, E., Bonnetblanc, F., & Duffau, H. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.02.015 · Cited by 68 · see citing works
Cognitive Reserve as an Emerging Concept in Stroke Recovery
Rosenich, E., Hordacre, B. G., Paquet, C., Koblar, S. A., & Hillier, S. (2020) · Neurorehabilitation and neural repair · doi:10.1177/1545968320907071 · Cited by 71 · see citing works
Hope, T. M. H., Seghier, M. L., Prejawa, S., Leff, A. P., & Price, C. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.025 · Cited by 64 · see citing works
“…on sensory motor and cognitive processing have described the severity of white matter damage in terms of ‘lesion load’, or the proportion of the target tract(s) that has been destroyed (Rorden et al., 2009; Zhu et al., 2010; Marchina et al., 2011; Fridriksson et al., 2013; Corbetta et al., 2015).”
BackgroundMachine<scp>learning‐based</scp>multimodal prediction of language outcomes in chronic aphasia
Kristinsson, S., Zhang, W., Rorden, C., Newman‐Norlund, R., Basilakos, A., Bonilha, L., Yourganov, G., Xiao, F., Hillis, A., & Fridriksson, J. (2021) · Human Brain Mapping · doi:10.1002/hbm.25321 · Cited by 64 · see citing works
Uncovering the Neuroanatomy of Core Language Systems Using Lesion-Symptom Mapping
Mirman, D., & Thye, M. D. (2018) · Current Directions in Psychological Science · doi:10.1177/0963721418787486 · Cited by 61 · see citing works
Shekari, E., & Nozari, N. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1139292 · Cited by 67 · see citing works
“Several other studies in individuals with brain damage have also linked AF lesions to the fluency of spoken production (Fridriksson et al., 2013; Basilakos et al., 2014; Chenausky et al., 2020; Ivanova et al., 2021).”
BackgroundResultKristinsson, S., den Ouden, D., Rorden, C., Newman‐Norlund, R., Neils‐Strunjas, J., & Fridriksson, J. (2022) · Journal of Stroke · doi:10.5853/jos.2022.01102 · Cited by 56 · see citing works
Motor speech signature of behavioral variant frontotemporal dementia: Refining the phenotype
Vogel, A. P., Poole, M. L., Pemberton, H., Caverlé, M. W. J., Boonstra, F. M. C., Low, E., Darby, D., & Brodtmann, A. (2017) · Neurology · doi:10.1212/wnl.0000000000004248 · Cited by 49 · see citing works
Karnath, H., & Rennig, J. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1325-7 · Cited by 51 · see citing works
“…al. 2014; Kuceyeski et al. 2015; Martin et al. 2016; Jones et al. 2016) 5 (Molenberghs et al. 2008; Rousseaux et al. 2013, 2015; Cheng et al. 2014; Grossi et al. 2014) 7 (Fridriksson et al. 2010a, 2013, 2015a; Geva et al. 2011, 2012; Meltzer et al. 2013; Basilakos et al. 2015) 1 (Abela et al. 2015)”
Automated lesion detection on MRI scans using combined unsupervised and supervised methods
Guo, D., Fridriksson, J., Fillmore, P., et al. (2015) · BMC Medical Imaging · doi:10.1186/s12880-015-0092-x · Cited by 42 · see citing works
“For each brain T1-MRI, we take the healthy hemisphere for estimating the intensity distribution and then normalize this distribution [1, 46, 47] to calculate the Z-score for all the voxels in the brain.”
BackgroundMethodWhite matter lesions relate to tract-specific reductions in functional connectivity
Langen, C. D., Zonneveld, H. I., White, T. J. H., Huizinga, W., Cremers, L. G. M., de Groot, M., Ikram, M. A., Niessen, W. J., & Vernooij, M. W. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.12.004 · Cited by 42 · see citing works
Beyond the Arcuate Fasciculus: Damage to Ventral and Dorsal Language Pathways in Aphasia
Yang, M., Li, Y., Li, J., Yao, D., Liao, W., & Chen, H. (2016) · Brain Topography · doi:10.1007/s10548-016-0503-5 · Cited by 41 · see citing works
“2011) and damage to the UF predicts impaired speech production in aphasia, our data lends supporting evidence to previous studies suggesting an involvement of the UF in the semantic processing of language (Catani et al. 2013; Fridriksson et al. 2013).”
ResultMoulton, E. J., Magno, S., Valabrègue, R., Sahli-Amor, M., Pires, C., Lehéricy, S., Léger, A., Samson, Y., & Rosso, C. (2019) · Stroke · doi:10.1161/strokeaha.119.024946 · Cited by 39 · see citing works
Dissociation of Broca’s area from Broca’s aphasia in patients undergoing neurosurgical resections
Andrews, J. P., Cahn, N., Speidel, B. A., Chung, J. E., Levy, D. F., Wilson, S. M., Berger, M. S., & Chang, E. F. (2023) · Journal of Neurosurgery · doi:10.3171/2022.6.jns2297 · Cited by 37 · see citing works
“13,14,16,18 If Broca’s aphasia is not associated with Brodmann ar - eas 44/45, the next question is whether it is associated with another area.”
Sweet Taste Receptor Signaling Network: Possible Implication for Cognitive Functioning
Welcome, M. O., Mastorakis, N. E., & Pereverzev, V. A. (2015) · Neurology Research International · doi:10.1155/2015/606479 · Cited by 38 · see citing works
“Cognition is a function ofmultiple brain regions,majorly involving the cortical Brodmann areas, insula, anterior cingulate, thalamus, mediotemporal (including hippocampus), mediofrontal and prefrontal cortices, basal ganglia, and cerebellum [64–66, 128–133].”
BackgroundRethinking voxel-wise lesion-deficit analysis: A new challenge for computational neuropsychology
Herbet, G., Lafargue, G., & Duffau, H. (2014) · Cortex · doi:10.1016/j.cortex.2014.10.021 · Cited by 37 · see citing works
Mapping articulatory and grammatical subcomponents of fluency deficits in post-stroke aphasia
Mirman, D., Kraft, A. E., Harvey, D. Y., Brecher, A. R., & Schwartz, M. F. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00729-9 · Cited by 37 · see citing works
Ziegler, W., Aichert, I., Staiger, A., Willmes, K., Baumgaertner, A., Grewe, T., Flöel, A., Huber, W., Rocker, R., Korsukewitz, C., et al. (2022) · Cortex · doi:10.1016/j.cortex.2022.02.012 · Cited by 35 · see citing works
White Matter Correlates of Auditory Comprehension Outcomes in Chronic Post-Stroke Aphasia
Xing, S., Lacey, E. H., Skipper‐Kallal, L. M., Zeng, J., & Turkeltaub, P. E. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00054 · Cited by 33 · see citing works
“It has been well established that the lateral AF supports sensory-articulatory integration involved in speech production (6, 42, 43).”
BackgroundHow distributed processing produces false negatives in voxel-based lesion-deficit analyses
Gajardo‐Vidal, A., Lorca‐Puls, D. L., Crinion, J., White, J., Seghier, M. L., Leff, A. P., Hope, T. M. H., Ludersdorfer, P., Green, D. W., Bowman, H., et al. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.02.025 · Cited by 32 · see citing works
How fluent? Part B. Underlying contributors to continuous measures of fluency in aphasia
Gordon, J., & Clough, S. (2020) · Aphasiology · doi:10.1080/02687038.2020.1712586 · Cited by 32 · see citing works
“Some studies include only individuals in the chronic phase (Fridrikkson et al., 2013; Halai et al., 2017; Wang et al., 2013); others examine acute aphasia (John et al., 2017).”
BackgroundMethodInfluentialRAN training in dyslexia: Behavioral and brain correlates
Stappen, C. V., Dricot, L., & Reybroeck, M. V. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107566 · Cited by 32 · see citing works
Recovery of Apraxia of Speech and Aphasia in Patients With Hand Motor Impairment After Stroke
Hybbinette, H., Schalling, E., Plantin, J., Nygren-Deboussard, C., Schütz, M., Östberg, P., & Lindberg, P. G. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.634065 · Cited by 32 · see citing works
“It is known that lesions to specific white fiber tract often results in poorer recovery in different domains, such as the integrity of the arcuate fasciculus for speechlanguage function (73, 74) and the corticospinal tract for hand motor function (75, 76).”
BackgroundNeural correlates of impaired vocal feedback control in post-stroke aphasia
Behroozmand, R., Bonilha, L., Rorden, C., Hickok, G. S., & Fridriksson, J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118938 · Cited by 31 · see citing works
Carlson, H. L., Jadavji, Z., Mineyko, A., Damji, O., Hodge, J. A., Saunders, J., Herrero, M., Nowak, M., Patzelt, R., Mazur‐Mosiewicz, A., et al. (2016) · Brain and Language · doi:10.1016/j.bandl.2016.05.008 · Cited by 31 · see citing works
Impairment of speech auditory feedback error detection and motor correction in post-stroke aphasia
Sangtian, S., Wang, Y., Fridriksson, J., & Behroozmand, R. (2021) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2021.106163 · Cited by 29 · see citing works
Faulkner, J. W., & Wilshire, C. E. (2019) · Brain and Language · doi:10.1016/j.bandl.2019.104710 · Cited by 28 · see citing works
Han, Y., Jing, Y., Shi, Y., Mo, H., Wan, Y., Zhou, H.-W., & Deng, F. (2024) · Journal of Neurology · doi:10.1007/s00415-024-12358-5 · Cited by 26 · see citing works
Mancini, M., Vos, S. B., Vakharia, V. N., O’Keeffe, A. G., Trimmel, K., Barkhof, F., Dorfer, C., Soman, S., Winston, G. P., Wu, C., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101883 · Cited by 26 · see citing works
Giampiccolo, D., Howells, H., Bährend, I., Schneider, H., Raffa, G., Rosenstock, T., Vergani, F., Vajkoczy, P., & Picht, T. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa158 · Cited by 25 · see citing works
“Lesion studies also show that disconnection of the anterior segment over other arcuate segments is linked to speech production difficulties following stroke (Fridriksson et al. , 2013) and damage to this tract is associated with apraxia of speech (Fridriksson et al. , 2018).”
Prediction of Aphasia Severity in Patients with Stroke Using Diffusion Tensor Imaging
Lee, J.-K., Ko, M.-H., Park, S.-H., & Kim, G.-W. (2021) · Brain Sciences · doi:10.3390/brainsci11030304 · Cited by 26 · see citing works
“According to previous studies on LRWM, damaged AF and SLF compromised difficulties in repetitive ability and speech fluency [22,41].”
BackgroundResultRight hemispheric structural connectivity and poststroke language recovery
Sihvonen, A. J., Vadinova, V., Garden, K. L., Meinzer, M., Roxbury, T., O’Brien, K. M., Copland, D. A., McMahon, K. L., & Brownsett, S. L. E. (2023) · Human Brain Mapping · doi:10.1002/hbm.26252 · Cited by 25 · see citing works
“Using this methodology, the discordant results observed in studies to date (Fridriksson et al., 2013; Keser et al., 2020; Marchina et al., 2011), which have used mean FA to investigate the contribution of a single tract associated with language production, may be explained by a combination of (a)…”
BackgroundResultChen, X., Zhao, Y., Zhong, S., Cui, Z., Li, J., Gong, G., Dong, Q., & Nan, Y. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1608-2 · Cited by 25 · see citing works
Geller, J., Thye, M. D., & Mirman, D. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.020 · Cited by 25 · see citing works
Zhang, B., Chang, J., Park, J., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102597 · Cited by 23 · see citing works
“However, an increasing number of studies have found an association between the left UF/TP and speech fluency impairment (Basilakos et al., 2014; Fridriksson et al., 2013; Trebuchon et al., 2018).”
BackgroundSeidel, K., Wermelinger, J., Abut, P. A. A., et al. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.12.136 · Cited by 22 · see citing works
Berthier, M. L., De-Torres, I., Paredes‐Pacheco, J., Roé-Vellvé, N., Thurnhofer‐Hemsi, K., Torres‐Prioris, M. J., Alfaro, F., Moreno‐Torres, I., López-Barroso, D., & Dávila, G. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00304 · Cited by 22 · see citing works
“…et al., 2012, 2013), is using action observation and imitation of visual and auditory stimuli to enhance the activity of bilateral parietal-frontal pathways (audiovisual mirror neurons) (Mashal et al., 2012; Duncan and Small, 2016) and ventral language streams (Fridriksson et al., 2012, 2013).”
BackgroundMethodInfluentialThe impact of etiology in lesion-symptom mapping – A direct comparison between tumor and stroke
van Grinsven, E. E., Smits, A. R., van Kessel, E., Raemaekers, M. A. H., de Haan, E. H. F., Wajer, I. M. C. H., Ruijters, V. J., Philippens, M. E. P., Verhoeff, J. J. C., Ramsey, N. F., et al. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103305 · Cited by 21 · see citing works
Hoffman, P., Cox, S. R., Dykiert, D., Maniega, S. M., Hernández, M. C. V., Bastin, M. E., Wardlaw, J. M., & Deary, I. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.052 · Cited by 20 · see citing works
White matter architecture of the language network
Kljajević, V. (2014) · Translational Neuroscience · doi:10.2478/s13380-014-0232-8 · Cited by 20 · see citing works
“Damage to the anterior segment of the left AF has also been associated with non-fluent speech in aphasia [57].”
BackgroundTorres‐Prioris, M. J., López-Barroso, D., Roé-Vellvé, N., Paredes‐Pacheco, J., Dávila, G., & Berthier, M. L. (2019) · Brain and Language · doi:10.1016/j.bandl.2018.12.004 · Cited by 19 · see citing works
Ahtam, B., Woite, N. L., Hoff, E., Grant, P. E., & Im, K. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9859-3 · Cited by 18 · see citing works
“2005), in speech fluency (Fridriksson et al. 2013; Basilakos et al. 2014), and language learning abilities (Kepinska et al.”
BackgroundA general role for ventral white matter pathways in morphological processing: Going beyond reading
Yablonski, M., Menashe, B. A., & Ben‐Shachar, M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117577 · Cited by 16 · see citing works
Topological signal processing and inference of event-related potential response
Wang, Y., Behroozmand, R., Johnson, L. P., et al. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109324 · Cited by 17 · see citing works
Kantarovich, K., Mwilambwe-Tshilobo, L., Fernández‐Cabello, S., Setton, R., Baracchini, G., Lockrow, A. W., Spreng, R. N., & Turner, G. R. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.01.005 · Cited by 17 · see citing works
The usefulness and limitations of diffusion tensor imaging – a review study
Kierońska-Siwak, S., & Słoniewski, P. (2020) · European Journal of Translational and Clinical Medicine · doi:10.31373/ejtcm/112437 · Cited by 16 · see citing works
Tezel-Bayraktaroglu, O., Bayraktaroğlu, Z., Demirtaş-Tatlıdede, A., Demıralp, T., & Öge, A. E. (2020) · Brain and Language · doi:10.1016/j.bandl.2020.104862 · Cited by 16 · see citing works
Wang, T., Hu, Y., Wang, D., Liu, J., Sun, J., Wei, C., Dai, H., & Li, Y. (2021) · Journal of Neurotrauma · doi:10.1089/neu.2021.0267 · Cited by 17 · see citing works
“In patients with stroke and aphasia, the damage in the anterior segment of the left AF showed a negative impact on the patient speech fluency, 52 while the reduced FA in left AF was related to patient language production capability.”
Bae, C. R., Na, Y., Cho, M., Hwang, Y. M., Tae, W., & Pyun, S. (2022) · Neurorehabilitation and neural repair · doi:10.1177/15459683221121752 · Cited by 16 · see citing works
Predictive role of subcomponents of the left arcuate fasciculus in prognosis of aphasia after stroke
Yu, Q., Wang, H., Li, S., & Dai, Y. (2019) · Medicine · doi:10.1097/md.0000000000015775 · Cited by 16 · see citing works
Generalizing post-stroke prognoses from research data to clinical data
Loughnan, R. J., Lorca‐Puls, D. L., Gajardo‐Vidal, A., Espejo-Videla, V., Gillebert, C. R., Mantini, D., Price, C. J., & Hope, T. M. H. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102005 · Cited by 16 · see citing works
Soliman, R. K., Tax, C. M. W., Elfetoh, N. A., Karim, A. A., Youssef, A. A., Kamal, D. E., & Khedr, E. M. (2021) · Brain Sciences · doi:10.3390/brainsci11101277 · Cited by 15 · see citing works
“Moreover, our data are in line with the few studies that have acknowledged the contribution of UF in speech fluency [40,41].”
ResultWhite matter microstructure and verbal fluency
Egorova, N., Chen, L., Khlif, M. S., & Brodtmann, A. G. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02579-7 · Cited by 15 · see citing works
Independent contributions of structural and functional connectivity: Evidence from a stroke model
Keator, L. M., Yourganov, G., Basilakos, A., Hillis, A. E., Hickok, G. S., Bonilha, L., Rorden, C., & Fridriksson, J. (2021) · Network Neuroscience · doi:10.1162/netn_a_00207 · Cited by 13 · see citing works
“, 2014a), and damage to white matter tracts underlying the left temporal regions are commonly implicated in linguistic deficits (Baldo et al., 2013; Bonilha et al., 2014b; Butler et al., 2014; Dronkers et al., 2004; Fridriksson et al., 2013; Geva et al., 2012; Henseler et al., 2014; Ivanova et al., 2016).”
BackgroundYu, Q., Sun, Y., Liao, X., Qian, W., & Ye, T. (2022) · Brain Sciences · doi:10.3390/brainsci12070907 · Cited by 14 · see citing works
Gottfried Schlaug, A. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407794-2.00081-x · Cited by 14 · see citing works
Busby, N., Halai, A. D., Parker, G. J. M., et al. (2018) · Cortex · doi:10.1016/j.cortex.2018.11.003 · Cited by 14 · see citing works
Anatomo-functional profile of white matter tracts in relevance to language: A systematic review
Kargar, Y., & Jalilian, M. (2023) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2023.101175 · Cited by 13 · see citing works
Impaired discourse content in aphasia is associated with frontal white matter damage
Ding, J., Middleton, E. L., & Mirman, D. (2023) · Brain Communications · doi:10.1093/braincomms/fcad310 · Cited by 15 · see citing works
“…converges with prior evidence that AF damage is associated with informative speech impairment and its recovery 7,9,11,45 and that FAT 11,46,47 and SLF3 (i.e. anterior AF) 11,46,48 damage are associated with speech fluency and informative discourse and SLF2’s involvement in language motor planning.”
BackgroundRoelofs, A. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02785-5 · Cited by 13 · see citing works
“Fridriksson et al. (2013) also found damage to this brain region to predict fluency.”
Structural Neuroplasticity Effects of Singing in Chronic Aphasia
Sihvonen, A. J., Pitkäniemi, A., Siponkoski, S., Kuusela, L., Martínez‐Molina, N., Laitinen, S., Särkämö, E., Pekkola, J., Melkas, S., Schlaug, G., et al. (2024) · eNeuro · doi:10.1523/eneuro.0408-23.2024 · Cited by 15 · see citing works
“Treatment-related changes correlating with improved naming abilities comprised the left AF and FAT, damage of which has been associated with speech production outcome in PSA (Fridriksson et al., 2013; Alyahya et al., 2020).”
BackgroundHan, Y., Jing, Y., Li, X., Zhou, H.-W., & Deng, F. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120664 · Cited by 14 · see citing works
“…were as follows: (1) hearing deficits and language impairment before the onset of post-stroke aphasia, (2) previous strokes and other neurological diseases, (3) cognitive impairment unrelated to aphasia, (4) psychiatric disorders, (5) alcohol or drug abuse, and (6) contraindications to MRI.”
BackgroundBrabenec, L., Šimko, P., Minsterová, A. Š., Košťálová, M., & Rektorová, I. (2022) · European Journal of Neurology · doi:10.1111/ene.15665 · Cited by 12 · see citing works
Four dimensions of naturalistic language production in aphasia after stroke
Casilio, M., Kasdan, A. V., Bryan, K. M., Shibata, K., Schneck, S. M., Levy, D. F., Entrup, J. L., Onuscheck, C. F., de Riesthal, M. R., & Wilson, S. M. (2024) · Brain · doi:10.1093/brain/awae195 · Cited by 12 · see citing works
“46,48,59,145,146 Benson and others additionally showed that two anomia syndromes (word production, semantic) 134,147 were localized to left inferior parietal lobe, inferring that damage to this association relay station had the capacity to disrupt access to semantic, lexical and phonological…”
Rollans, C., & Cummine, J. (2018) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2017.12.009 · Cited by 12 · see citing works
A machine learning approach for predicting post-stroke aphasia recovery
Gu, Y., Bahrani, M., Billot, A., Lai, S., Braun, E. J., Varkanitsa, M., Bighetto, J., Rapp, B. C., Parrish, T. B., Caplan, D. N., et al. (2020) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/3389189.3389204 · Cited by 12 · see citing works
Cao, J., Chen, C., Zhang, T., Han, Y., Qin, R., Su, W., Tian, J., Fengli, L., Shi, Q., Zhang, H., et al. (2023) · Neuroendocrinology · doi:10.1159/000529062 · Cited by 12 · see citing works
Ryu, H., & Park, C.-H. (2020) · Brain Sciences · doi:10.3390/brainsci10050280 · Cited by 12 · see citing works
Ahtam, B., Waisbren, S. E., Anastasoaie, V., Berry, G. T., Brown, M., Petrides, S., Afacan, O., Prabhu, S. P., Schomer, D. L., Grant, P. E., et al. (2020) · Journal of Inherited Metabolic Disease · doi:10.1002/jimd.12279 · Cited by 12 · see citing works
- 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 · 2012: 1
- 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 ›
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