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Thomas G, McMahon KL, Finch E, Copland DA. Interindividual variability and consistency of language mapping paradigms for presurgical use. BRAIN AND LANGUAGE 2023; 243:105299. [PMID: 37413742 DOI: 10.1016/j.bandl.2023.105299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 04/08/2023] [Accepted: 06/21/2023] [Indexed: 07/08/2023]
Abstract
Most functional MRI studies of language processing have focussed on group-level inference, but for clinical use, the aim is to predict outcomes at an individual patient level. This requires being able to identify atypical activation and understand how differences relate to language outcomes. A language mapping paradigm that selectively activates left hemisphere language regions in healthy individuals allows atypical activation in a patient to be more easily identified. We investigated the interindividual variability and consistency of language activation in 12 healthy participants using three tasks-verb generation, responsive naming, and sentence comprehension-for future presurgical use. Responsive naming produced the most consistent left-lateralised activation across participants in frontal and temporal regions that postsurgical voxel-based lesion-symptom mapping studies suggest are most critical for language outcomes. Studies with a long-term clinical aim of predicting language outcomes in neurosurgical patients and stroke patients should first establish paradigm validity at an individual level in healthy participants.
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Affiliation(s)
- Georgia Thomas
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.
| | - Katie L McMahon
- School of Clinical Sciences, Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia; Herston Imaging Research Facility, The University of Queensland, Brisbane, Australia
| | - Emma Finch
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Research and Innovation, West Moreton Health, Ipswich, Australia; Speech Pathology Department, Princess Alexandra Hospital, Brisbane, Australia
| | - David A Copland
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Surgical Treatment and Rehabilitation Service (STARS) Education and Research Alliance, The University of Queensland and Metro North Health, Queensland, Australia
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Bi H, Zare S, Kania U, Yan R. A systematic review of studies on connected speech processing: Trends, key findings, and implications. Front Psychol 2022; 13:1056827. [DOI: 10.3389/fpsyg.2022.1056827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/07/2022] [Indexed: 11/30/2022] Open
Abstract
Connected speech processing (CSP) is of great significance to individuals’ language and cognitive development. It is particularly crucial not only for clinical detection and treatment of developmental disorders, but also for the Foreign/second language teaching instructions. However, given the importance of this field, there is a clear lack of systematic reviews that summarize the key findings of previous studies. To this end, through searching in the scientific databases PsycInfo, Scopus, PubMed, ERIC, Taylor and Francis, and Web of Science, the present study identified 128 core CSP articles with high reference values according to PRISMA guidance and the following results were obtained through quantitative analysis and qualitative comparative synthesis: (1) The number of studies on CSP published per year showed an upward trend; however, most focused on English language, whereas the studies on other languages were comparatively rare; (2) CSP was found to be affected by multiple factors, among which speech speed, semantics, word frequency, and phonological awareness were most frequently investigated; (3) the deficit in CSP capacity was widely recognized as a significant predictor and indicator of developmental disorders; (4) more studies were carried out on connected speech production than on perception; and (5) almost no longitudinal studies have ever been conducted among either native or non-native speakers. Therefore, future research is needed to explore the developmental trajectory of CSP skills of typically developing language learners and speakers with cognitive disorders over different periods of time. It is also necessary to deepen the understanding of the processing mechanism beyond their performance and the role played by phonological awareness and lexical representations in CSP.
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Zyryanov A, Stupina E, Gordeyeva E, Buivolova O, Novozhilova E, Akinina Y, Bronov O, Gronskaya N, Gunenko G, Iskra E, Ivanova E, Kalinovskiy A, Kliuev E, Kopachev D, Kremneva E, Kryuchkova O, Medyanik I, Pedyash N, Pozdniakova V, Pronin I, Rainich K, Reutov A, Samoukina A, Shlyakhova A, Sitnikov A, Soloukhina O, Yashin K, Zelenkova V, Zuev A, Ivanova MV, Dragoy O. 'Moderate global aphasia': A generalized decline of language processing caused by glioma surgery but not stroke. BRAIN AND LANGUAGE 2022; 224:105057. [PMID: 34883333 PMCID: PMC8743859 DOI: 10.1016/j.bandl.2021.105057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 10/15/2021] [Accepted: 11/24/2021] [Indexed: 06/13/2023]
Abstract
Unlike stroke, neurosurgical removal of left-hemisphere gliomas acts upon a reorganized language network and involves brain areas rarely damaged by stroke. We addressed whether this causes the profiles of neurosurgery- and stroke-induced language impairments to be distinct. K-means clustering of language assessment data (neurosurgery cohort: N = 88, stroke cohort: N = 95) identified similar profiles in both cohorts. But critically, a cluster of individuals with specific phonological deficits was only evident in the stroke but not in the neurosurgery cohort. Thus, phonological deficits are less clearly distinguished from other language deficits after glioma surgery compared to stroke. Furthermore, the correlations between language production and comprehension scores at different linguistic levels were more extensive in the neurosurgery than in the stroke cohort. Our findings suggest that neurosurgery-induced language impairments do not correspond to those caused by stroke, but rather manifest as a 'moderate global aphasia' - a generalized decline of language processing abilities.
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Affiliation(s)
- Andrey Zyryanov
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia.
| | - Ekaterina Stupina
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia
| | - Elizaveta Gordeyeva
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia
| | - Olga Buivolova
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia; Federal Center for Brain and Neurotechnologies, 1 Building 10 Ostrovityanova Ulitsa, Moscow 117997, Russia
| | - Evdokiia Novozhilova
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia
| | - Yulia Akinina
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia
| | - Oleg Bronov
- Department of Radiology, National Medical and Surgical Center Named after N.I. Pirogov, 70 Nizhnyaya Pervomayskaya Ulitsa, Moscow 105203, Russia
| | - Natalia Gronskaya
- Center for Language and Brain, HSE University, 25/12 Bolshaya Pecherskaya Ulitsa, Nizhny Novgorod 603155, Russia
| | - Galina Gunenko
- Department of Neurooncology, Federal Center of Neurosurgery Novosibirsk, 132/1 Nemirovicha-Danchenko Ulitsa, Novosibirsk 630048, Russia
| | - Ekaterina Iskra
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia; Center for Speech Pathology and Neurorehabilitation, 20/1 Nikoloyamskaya Ulitsa, Moscow 109240, Russia
| | - Elena Ivanova
- Federal Center for Brain and Neurotechnologies, 1 Building 10 Ostrovityanova Ulitsa, Moscow 117997, Russia; Pirogov Russian National Research Medical University, 1 Ostrovityanova Ulitsa, Moscow 117198, Russia
| | - Anton Kalinovskiy
- Department of Neurooncology, Federal Center of Neurosurgery Novosibirsk, 132/1 Nemirovicha-Danchenko Ulitsa, Novosibirsk 630048, Russia
| | - Evgenii Kliuev
- Department of Radiology, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod 603005, Russia
| | - Dmitry Kopachev
- Research Center of Neurology, 80 Volokolamskoye Shosse, Moscow 125367, Russia
| | - Elena Kremneva
- Research Center of Neurology, 80 Volokolamskoye Shosse, Moscow 125367, Russia
| | - Oksana Kryuchkova
- Department of Radiology, Central Clinical Hospital with Outpatient Health Center of the Business Administration for the President of the Russian Federation, 15 Marshala Timoshenko Ulitsa, Moscow 121359, Russia
| | - Igor Medyanik
- Department of Neurosurgery, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod 603005, Russia
| | - Nikita Pedyash
- Department of Neurosurgery, National Medical and Surgical Center named after N.I. Pirogov, 70 Nizhnyaya Pervomayskaya Ulitsa, Moscow 105203, Russia
| | - Viktoria Pozdniakova
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia
| | - Igor Pronin
- Department of Neuroradiology, National Medical Research Center for Neurosurgery named after N. N. Burdenko, 16 4-ya Tverskaya-Yamskaya Ulitsa, Moscow 125047, Russia
| | - Kristina Rainich
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia
| | - Andrey Reutov
- Department of Neurosurgery, Central Clinical Hospital with Outpatient Health Center of the Business Administration for the President of the Russian Federation, 15 Marshala Timoshenko Ulitsa, Moscow 121359, Russia
| | - Anastasia Samoukina
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia
| | - Anastasia Shlyakhova
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia
| | - Andrey Sitnikov
- Department of Neurosurgery, Federal Centre of Treatment and Rehabilitation of the Ministry of Healthcare of the Russian Federation, 3 Ivan'kovskoye Shosse, Moscow 125367, Russia
| | - Olga Soloukhina
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia
| | - Konstantin Yashin
- Department of Neurosurgery, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod 603005, Russia
| | - Valeriya Zelenkova
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia
| | - Andrey Zuev
- Department of Neurosurgery, National Medical and Surgical Center named after N.I. Pirogov, 70 Nizhnyaya Pervomayskaya Ulitsa, Moscow 105203, Russia
| | - Maria V Ivanova
- Aphasia Recovery Lab, Department of Psychology, University of California, Berkley, 210 Barker Hall, CA 94720, USA
| | - Olga Dragoy
- Center for Language and Brain, HSE University, 3 Krivokolenny Pereulok, Moscow 101000, Russia; Institute of Linguistics, Russian Academy of Sciences, 1 bld. 1 Bolshoy Kislovsky lane, Moscow 125009, Russia
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Evans E, Coley SL, Gooding DC, Norris N, Ramsey CM, Green-Harris G, Mueller KD. Preliminary assessment of connected speech and language as marker for cognitive change in late middle-aged Black/African American adults at risk for Alzheimer's disease. APHASIOLOGY 2021; 36:982-1005. [PMID: 36016839 PMCID: PMC9398189 DOI: 10.1080/02687038.2021.1931801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 05/03/2021] [Indexed: 06/15/2023]
Abstract
Background Connected speech-language (CSL) has been a promising measure of assessing cognitive decline in populations at-risk for Alzheimer's disease and related dementias (ADRD) populations. A common way to obtain CSL is through using picture description tasks such as the most frequently used image Cookie Theft (CT). However, questions have been raised about using CT for diverse communities. Little is known about the CSL produced in response to this task in Black/African American (BAA) adults aged 48-74. Goals The present study's goals were to characterize CSL in BAA adults by sex and APOE-ε4 status from Milwaukee in the Wisconsin Registry for Alzheimer's Prevention (WRAP) study when presented with the CT picture description task and to identify differences in CSL output between BAAs and non-Hispanic Whites (NHW). Methods and Procedures We collected CSL samples from the CT picture from 48 BAA participants and 30 NHW participants from the WRAP participants in Milwaukee, WI group. CSL was analyzed using chi-square tests, T-tests, and ANCOVA. Linear mixed effect regression models were used to determine the association between cognitive status and longitudinal CSL in BAA participants with more than 1 timepoint. Outcomes and Results Declines in CSL of BAA participants were associated with subtle declines in cognition. Among BAA participants, we found no significant differences in speech measures in terms of sex and APOE-ε4 status. Our results showed no significant differences in speech measures between BAA and NHW groups. Conclusions CSL analysis provides an inexpensive way to evaluate preclinical changes in cognitive status that may not be as affected by other factors, such as ethnocultural background. Future studies with larger sample sizes and participants from other geographic locations can clarify these findings.
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Affiliation(s)
- Elizabeth Evans
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Sheryl L Coley
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Diane C Gooding
- Department of Psychology and Psychiatry, University of Wisconsin-Madison, Madison, WI University of Wisconsin, Madison, Wisconsin, USA
| | - Nia Norris
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Celena M Ramsey
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Gina Green-Harris
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Kimberly D Mueller
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Wisconsin, USA
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Fan JM, Gorno-Tempini ML, Dronkers NF, Miller BL, Berger MS, Chang EF. Data-Driven, Visual Framework for the Characterization of Aphasias Across Stroke, Post-resective, and Neurodegenerative Disorders Over Time. Front Neurol 2020; 11:616764. [PMID: 33447252 PMCID: PMC7801263 DOI: 10.3389/fneur.2020.616764] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 12/03/2020] [Indexed: 12/04/2022] Open
Abstract
Aphasia classifications and specialized language batteries differ across the fields of neurodegenerative disorders and lesional brain injuries, resulting in difficult comparisons of language deficits across etiologies. In this study, we present a simplified framework, in which a widely-used aphasia battery captures clinical clusters across disease etiologies and provides a quantitative and visual method to characterize and track patients over time. The framework is used to evaluate populations representing three disease etiologies: stroke, primary progressive aphasia (PPA), and post-operative aphasia. A total of 330 patients across three populations with cerebral injury leading to aphasia were investigated, including 76 patients with stroke, 107 patients meeting criteria for PPA, and 147 patients following left hemispheric resective surgery. Western Aphasia Battery (WAB) measures (Information Content, Fluency, answering Yes/No questions, Auditory Word Recognition, Sequential Commands, and Repetition) were collected across the three populations and analyzed to develop a multi-dimensional aphasia model using dimensionality reduction techniques. Two orthogonal dimensions were found to explain 87% of the variance across aphasia phenotypes and three disease etiologies. The first dimension reflects shared weighting across aphasia subscores and correlated with aphasia severity. The second dimension incorporates fluency and comprehension, thereby separating Wernicke's from Broca's aphasia, and the non-fluent/agrammatic from semantic PPA variants. Clusters representing clinical classifications, including late PPA presentations, were preserved within the two-dimensional space. Early PPA presentations were not classifiable, as specialized batteries are needed for phenotyping. Longitudinal data was further used to visualize the trajectory of aphasias during recovery or disease progression, including the rapid recovery of post-operative aphasic patients. This method has implications for the conceptualization of aphasia as a spectrum disorder across different disease etiology and may serve as a framework to track the trajectories of aphasia progression and recovery.
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Affiliation(s)
- Joline M Fan
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | | | - Nina F Dronkers
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States.,Department of Neurology, University of California, Davis, Davis, CA, United States
| | - Bruce L Miller
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Edward F Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
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Zyryanov A, Malyutina S, Dragoy O. Left frontal aslant tract and lexical selection: Evidence from frontal lobe lesions. Neuropsychologia 2020; 147:107385. [PMID: 32057935 DOI: 10.1016/j.neuropsychologia.2020.107385] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 12/28/2019] [Accepted: 02/09/2020] [Indexed: 10/25/2022]
Abstract
The frontal aslant tract (FAT) is a white-matter tract connecting the inferior frontal gyrus (IFG) and the supplementary motor complex (SMC). Damage to either component of the network causes spontaneous speech dysfluency, indicating its critical role in language production. However, spontaneous speech dysfluency may stem from various lower-level linguistic deficits, precluding inferences about the nature of linguistic processing subserved by the IFG-SMC network. Since the IFG and the SMC are attributed a role in conceptual and lexical selection during language production, we hypothesized that these processes rely on the IFG-SMC connectivity via the FAT. We analysed the effects of FAT volume on conceptual and lexical selection measures following frontal lobe stroke. The measures were obtained from the sentence completion task, tapping into conceptual and lexical selection, and the picture-word interference task, providing a more specific measure of lexical selection. Lower FAT volume was not associated with lower conceptual or lexical selection abilities in our patient cohort. Current findings stand in marked discrepancy with previous lesion and neuroimaging evidence for the joint contribution of the IFG and the SMC to lexical and conceptual selection. A plausible explanation reconciling this discrepancy is that the IFG-SMC connectivity via the FAT does contribute to conceptual and/or lexical selection but its disrupted function undergoes reorganisation over the course of post-stroke recovery. Thus, our negative findings stress the importance of testing the causal role of the FAT in lexical and conceptual selection in patients with more acute frontal lobe lesions.
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Affiliation(s)
- Andrey Zyryanov
- Center for Language and Brain, National Research University Higher School of Economics, 21/4 Staraya Basmannaya St., Office 510, Moscow, 105066, Russia.
| | - Svetlana Malyutina
- Center for Language and Brain, National Research University Higher School of Economics, 21/4 Staraya Basmannaya St., Office 510, Moscow, 105066, Russia
| | - Olga Dragoy
- Center for Language and Brain, National Research University Higher School of Economics, 21/4 Staraya Basmannaya St., Office 510, Moscow, 105066, Russia; Department of Medical Rehabilitation, Federal Center for Cerebrovascular Pathology and Stroke, 1 Ostrovityanova St., 117997, Russia
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Casilio M, Rising K, Beeson PM, Bunton K, Wilson SM. Auditory-Perceptual Rating of Connected Speech in Aphasia. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2019; 28:550-568. [PMID: 31136232 PMCID: PMC6802867 DOI: 10.1044/2018_ajslp-18-0192] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Purpose Auditory-perceptual assessment, in which trained listeners rate a large number of perceptual features of speech samples, is the gold standard for the differential diagnosis of motor speech disorders. The goal of this study was to investigate the feasibility of applying a similar, formalized auditory-perceptual approach to the assessment of language deficits in connected speech samples from individuals with aphasia. Method Twenty-seven common features of connected speech in aphasia were defined, each of which was rated on a 5-point scale. Three experienced researchers evaluated 24 connected speech samples from the AphasiaBank database, and 12 student clinicians evaluated subsets of 8 speech samples each. We calculated interrater reliability for each group of raters and investigated the validity of the auditory-perceptual approach by comparing feature ratings to related quantitative measures derived from transcripts and clinical measures, and by examining patterns of feature co-occurrence. Results Most features were rated with good-to-excellent interrater reliability by researchers and student clinicians. Most features demonstrated strong concurrent validity with respect to quantitative connected speech measures computed from AphasiaBank transcripts and/or clinical aphasia battery subscores. Factor analysis showed that 4 underlying factors, which we labeled Paraphasia, Logopenia, Agrammatism, and Motor Speech, accounted for 79% of the variance in connected speech profiles. Examination of individual patients' factor scores revealed striking diversity among individuals classified with a given aphasia type. Conclusion Auditory-perceptual rating of connected speech in aphasia shows potential to be a comprehensive, efficient, reliable, and valid approach for characterizing connected speech in aphasia.
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Affiliation(s)
- Marianne Casilio
- Department of Speech, Language, and Hearing Sciences, The University of Arizona, Tucson
| | - Kindle Rising
- Department of Speech, Language, and Hearing Sciences, The University of Arizona, Tucson
| | - Pélagie M. Beeson
- Department of Speech, Language, and Hearing Sciences, The University of Arizona, Tucson
- Department of Neurology, The University of Arizona, Tucson
| | - Kate Bunton
- Department of Speech, Language, and Hearing Sciences, The University of Arizona, Tucson
| | - Stephen M. Wilson
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
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Chang EF, Kurteff G, Wilson SM. Selective Interference with Syntactic Encoding during Sentence Production by Direct Electrocortical Stimulation of the Inferior Frontal Gyrus. J Cogn Neurosci 2017; 30:411-420. [PMID: 29211650 DOI: 10.1162/jocn_a_01215] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Cortical stimulation mapping (CSM) has provided important insights into the neuroanatomy of language because of its high spatial and temporal resolution, and the causal relationships that can be inferred from transient disruption of specific functions. Almost all CSM studies to date have focused on word-level processes such as naming, comprehension, and repetition. In this study, we used CSM to identify sites where stimulation interfered selectively with syntactic encoding during sentence production. Fourteen patients undergoing left-hemisphere neurosurgery participated in the study. In 7 of the 14 patients, we identified nine sites where cortical stimulation interfered with syntactic encoding but did not interfere with single word processing. All nine sites were localized to the inferior frontal gyrus, mostly to the pars triangularis and opercularis. Interference with syntactic encoding took several different forms, including misassignment of arguments to grammatical roles, misassignment of nouns to verb slots, omission of function words and inflectional morphology, and various paragrammatic constructions. Our findings suggest that the left inferior frontal gyrus plays an important role in the encoding of syntactic structure during sentence production.
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