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Han Y, Jing Y, Li X, Zhou H, Deng F. Clinical characteristics of post-stroke basal ganglia aphasia and the study of language-related white matter tracts based on diffusion spectrum imaging. Neuroimage 2024; 295:120664. [PMID: 38825217 DOI: 10.1016/j.neuroimage.2024.120664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 05/12/2024] [Accepted: 05/30/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND Stroke often damages the basal ganglia, leading to atypical and transient aphasia, indicating that post-stroke basal ganglia aphasia (PSBGA) may be related to different anatomical structural damage and functional remodeling rehabilitation mechanisms. The basal ganglia contain dense white matter tracts (WMTs). Hence, damage to the functional tract may be an essential anatomical structural basis for the development of PSBGA. METHODS We first analyzed the clinical characteristics of PSBGA in 28 patients and 15 healthy controls (HCs) using the Western Aphasia Battery and neuropsychological test batteries. Moreover, we investigated white matter injury during the acute stage using diffusion magnetic resonance imaging scans for differential tractography. Finally, we used multiple regression models in correlation tractography to analyze the relationship between various language functions and quantitative anisotropy (QA) of WMTs. RESULTS Compared with HCs, patients with PSBGA showed lower scores for fluency, comprehension (auditory word recognition and sequential commands), naming (object naming and word fluency), reading comprehension of sentences, Mini-Mental State Examination, and Montreal Cognitive Assessment, along with increased scores in Hamilton Anxiety Scale-17 and Hamilton Depression Scale-17 within 7 days after stroke onset (P < 0.05). Differential tractography revealed that patients with PSBGA had damaged fibers, including in the body fibers of the corpus callosum, left cingulum bundles, left parietal aslant tracts, bilateral superior longitudinal fasciculus II, bilateral thalamic radiation tracts, left fornix, corpus callosum tapetum, and forceps major, compared with HCs (FDR < 0.02). Correlation tractography highlighted that better comprehension was correlated with a higher QA of the left inferior fronto-occipital fasciculus (IFOF), corpus callosum forceps minor, and left extreme capsule (FDR < 0.0083). Naming was positively associated with the QA of the left IFOF, forceps minor, left arcuate fasciculus, and uncinate fasciculus (UF) (FDR < 0.0083). Word fluency of naming was also positively associated with the QA of the forceps minor, left IFOF, and thalamic radiation tracts (FDR < 0.0083). Furthermore, reading was positively correlated with the QA of the forceps minor, left IFOF, and UF (FDR < 0.0083). CONCLUSION PSBGA is primarily characterized by significantly impaired word fluency of naming and preserved repetition abilities, as well as emotional and cognitive dysfunction. Damaged limbic pathways, dorsally located tracts in the left hemisphere, and left basal ganglia pathways are involved in PSBGA pathogenesis. The results of connectometry analysis further refine the current functional localization model of higher-order neural networks associated with language functions.
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Affiliation(s)
- Yue Han
- Department of Neurology, The First Hospital of Jilin University, Changchun, PR China
| | - Yuanyuan Jing
- Department of Neurology, The First Hospital of Jilin University, Changchun, PR China
| | - Xuewei Li
- Department of Radiology, The First Hospital of Jilin University, Changchun, PR China
| | - Hongwei Zhou
- Department of Radiology, The First Hospital of Jilin University, Changchun, PR China.
| | - Fang Deng
- Department of Neurology, The First Hospital of Jilin University, Changchun, PR China.
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Metaireau M, Osiurak F, Seye A, Lesourd M. The neural correlates of limb apraxia: An anatomical likelihood estimation meta-analysis of lesion-symptom mapping studies in brain-damaged patients. Neurosci Biobehav Rev 2024; 162:105720. [PMID: 38754714 DOI: 10.1016/j.neubiorev.2024.105720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/10/2024] [Accepted: 05/09/2024] [Indexed: 05/18/2024]
Abstract
Limb apraxia is a motor disorder frequently observed following a stroke. Apraxic deficits are classically assessed with four tasks: tool use, pantomime of tool use, imitation, and gesture understanding. These tasks are supported by several cognitive processes represented in a left-lateralized brain network including inferior frontal gyrus, inferior parietal lobe (IPL), and lateral occipito-temporal cortex (LOTC). For the past twenty years, voxel-wise lesion symptom mapping (VLSM) studies have been used to unravel the neural correlates associated with apraxia, but none of them has proposed a comprehensive view of the topic. In the present work, we proposed to fill this gap by performing a systematic Anatomic Likelihood Estimation meta-analysis of VLSM studies which included tasks traditionally used to assess apraxia. We found that the IPL was crucial for all the tasks. Moreover, lesions within the LOTC were more associated with imitation deficits than tool use or pantomime, confirming its important role in higher visual processing. Our results questioned traditional neurocognitive models on apraxia and may have important clinical implications.
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Affiliation(s)
- Maximilien Metaireau
- Université de Franche-Comté, UMR INSERM 1322, LINC, Besançon F-25000, France; Maison des Sciences de l'Homme et de l'Environnement (UAR 3124), Besançon, France.
| | - François Osiurak
- Laboratoire d'Étude des Mécanismes Cognitifs (EA 3082), Université Lyon 2, Bron, France; Institut Universitaire de France, Paris, France
| | - Arthur Seye
- Laboratoire d'Étude des Mécanismes Cognitifs (EA 3082), Université Lyon 2, Bron, France
| | - Mathieu Lesourd
- Université de Franche-Comté, UMR INSERM 1322, LINC, Besançon F-25000, France; Maison des Sciences de l'Homme et de l'Environnement (UAR 3124), Besançon, France; Unité de Neurologie Vasculaire, CHU Besançon, France.
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Han Y, Jing Y, Shi Y, Mo H, Wan Y, Zhou H, Deng F. The role of language-related functional brain regions and white matter tracts in network plasticity of post-stroke aphasia. J Neurol 2024; 271:3095-3115. [PMID: 38607432 DOI: 10.1007/s00415-024-12358-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/13/2024]
Abstract
The neural mechanisms underlying language recovery after a stroke remain controversial. This review aimed to summarize the plasticity and reorganization mechanisms of the language network through neuroimaging studies. Initially, we discussed the involvement of right language homologues, perilesional tissue, and domain-general networks. Subsequently, we summarized the white matter functional mapping and remodeling mechanisms associated with language subskills. Finally, we explored how non-invasive brain stimulation (NIBS) promoted language recovery by inducing neural network plasticity. It was observed that the recruitment of right hemisphere language area homologues played a pivotal role in the early stages of frontal post-stroke aphasia (PSA), particularly in patients with larger lesions. Perilesional plasticity correlated with improved speech performance and prognosis. The domain-general networks could respond to increased "effort" in a task-dependent manner from the top-down when the downstream language network was impaired. Fluency, repetition, comprehension, naming, and reading skills exhibited overlapping and unique dual-pathway functional mapping models. In the acute phase, the structural remodeling of white matter tracts became challenging, with recovery predominantly dependent on cortical activation. Similar to the pattern of cortical activation, during the subacute and chronic phases, improvements in language functions depended, respectively, on the remodeling of right white matter tracts and the restoration of left-lateralized language structural network patterns. Moreover, the midline superior frontal gyrus/dorsal anterior cingulate cortex emerged as a promising target for NIBS. These findings offered theoretical insights for the early personalized treatment of aphasia after stroke.
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Affiliation(s)
- Yue Han
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yuanyuan Jing
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yanmin Shi
- Health Management (Physical Examination) Center, The Second Norman Bethune Hospital of Jilin University, Changchun, China
| | - Hongbin Mo
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yafei Wan
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Hongwei Zhou
- Department of Radiology, The First Hospital of Jilin University, Changchun, China.
| | - Fang Deng
- Department of Neurology, The First Hospital of Jilin University, Changchun, China.
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Pracar AL, Ivanova MV, Richardson A, Dronkers NF. A case of pure apraxia of speech after left hemisphere stroke: behavioral findings and neural correlates. Front Neurol 2023; 14:1187399. [PMID: 37576017 PMCID: PMC10421996 DOI: 10.3389/fneur.2023.1187399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 06/29/2023] [Indexed: 08/15/2023] Open
Abstract
Introduction Apraxia of speech (AOS) is a motor speech disorder impairing the coordination of complex articulatory movements needed to produce speech. AOS typically co-occurs with a non-fluent aphasia, or language disorder, making it challenging to determine the specific brain structures that cause AOS. Cases of pure AOS without aphasia are rare but offer the best window into the neural correlates that support articulatory planning. The goal of the current study was to explore patterns of apraxic speech errors and their underlying neural correlates in a case of pure AOS. Methods A 67-year-old right-handed man presented with severe AOS resulting from a fronto-insular lesion caused by an ischemic stroke. The participant's speech and language were evaluated at 1-, 3- and 12-months post-onset. High resolution structural MRI, including diffusion weighted imaging, was acquired at 12 months post-onset. Results At the first assessment, the participant made minor errors on the Comprehensive Aphasia Test, demonstrating mild deficits in writing, auditory comprehension, and repetition. By the second assessment, he no longer had aphasia. On the Motor Speech Evaluation, the severity of his AOS was initially rated as 5 (out of 7) and improved to a score of 4 by the second visit, likely due to training by his SLP at the time to slow his speech. Structural MRI data showed a fronto-insular lesion encompassing the superior precentral gyrus of the insula and portions of the inferior and middle frontal gyri and precentral gyrus. Tractography derived from diffusion MRI showed partial damage to the frontal aslant tract and arcuate fasciculus along the white matter projections to the insula. Discussion This pure case of severe AOS without aphasia affords a unique window into the behavioral and neural mechanisms of this motor speech disorder. The current findings support previous observations that AOS and aphasia are dissociable and confirm a role for the precentral gyrus of the insula and BA44, as well as underlying white matter in supporting the coordination of complex articulatory movements. Additionally, other regions including the precentral gyrus, Broca's area, and Area 55b are discussed regarding their potential role in successful speech production.
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Affiliation(s)
- Alexis L. Pracar
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Maria V. Ivanova
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Amber Richardson
- VA Northern California Health Care System, Martinez, 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
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Piai V, Eikelboom D. Brain Areas Critical for Picture Naming: A Systematic Review and Meta-Analysis of Lesion-Symptom Mapping Studies. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2023; 4:280-296. [PMID: 37229507 PMCID: PMC10205157 DOI: 10.1162/nol_a_00097] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 12/16/2022] [Indexed: 05/27/2023]
Abstract
Lesion-symptom mapping (LSM) studies have revealed brain areas critical for naming, typically finding significant associations between damage to left temporal, inferior parietal, and inferior fontal regions and impoverished naming performance. However, specific subregions found in the available literature vary. Hence, the aim of this study was to perform a systematic review and meta-analysis of published lesion-based findings, obtained from studies with unique cohorts investigating brain areas critical for accuracy in naming in stroke patients at least 1 month post-onset. An anatomic likelihood estimation (ALE) meta-analysis of these LSM studies was performed. Ten papers entered the ALE meta-analysis, with similar lesion coverage over left temporal and left inferior frontal areas. This small number is a major limitation of the present study. Clusters were found in left anterior temporal lobe, posterior temporal lobe extending into inferior parietal areas, in line with the arcuate fasciculus, and in pre- and postcentral gyri and middle frontal gyrus. No clusters were found in left inferior frontal gyrus. These results were further substantiated by examining five naming studies that investigated performance beyond global accuracy, corroborating the ALE meta-analysis results. The present review and meta-analysis highlight the involvement of left temporal and inferior parietal cortices in naming, and of mid to posterior portions of the temporal lobe in particular in conceptual-lexical retrieval for speaking.
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Affiliation(s)
- Vitória Piai
- Radboud University, Donders Centre for Cognition, Nijmegen, Netherlands
- Radboudumc, Donders Centre for Medical Neuroscience, Department of Medical Psychology, Nijmegen, Netherlands
| | - Dilys Eikelboom
- Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
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Schnur TT, Lei CM. Assessing naming errors using an automated machine learning approach. Neuropsychology 2022; 36:709-718. [PMID: 36107705 PMCID: PMC9970144 DOI: 10.1037/neu0000860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVE After left hemisphere stroke, 20%-50% of people experience language deficits, including difficulties in naming. Naming errors that are semantically related to the intended target (e.g., producing "violin" for picture HARP) indicate a potential impairment in accessing knowledge of word forms and their meanings. Understanding the cause of naming impairments is crucial to better modeling of language production as well as for tailoring individualized rehabilitation. However, evaluation of naming errors is typically by subjective and laborious dichotomous classification. As a result, these evaluations do not capture the degree of semantic similarity and are susceptible to lower interrater reliability because of subjectivity. METHOD We investigated whether a computational linguistic measure using word2vec (Mikolov, Chen, et al., 2013) addressed these limitations by evaluating errors during object naming in a group of patients during the acute stage of a left-hemisphere stroke (N = 105). RESULTS Pearson correlations demonstrated excellent convergent validity of word2vec's semantically related estimates of naming errors and independent tests of access to lexical-semantic knowledge (p < .0001). Further, multiple regression analysis showed word2vec's semantically related estimates were significantly better than human error classification at predicting performance on tests of lexical-semantic knowledge. CONCLUSIONS Useful to both theorists and clinicians, our word2vec-based method provides an automated, continuous, and objective psychometric measure of access to lexical-semantic knowledge during naming. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Tatiana T. Schnur
- Departments of Neurosurgery & Neuroscience, Baylor College of Medicine
| | - Chia-Ming Lei
- Department of Communication Sciences & Disorders, Radford University
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Billot A, Thiebaut de Schotten M, Parrish TB, Thompson CK, Rapp B, Caplan D, Kiran S. Structural disconnections associated with language impairments in chronic post-stroke aphasia using disconnectome maps. Cortex 2022; 155:90-106. [PMID: 35985126 PMCID: PMC9623824 DOI: 10.1016/j.cortex.2022.06.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 09/14/2021] [Accepted: 06/10/2022] [Indexed: 11/16/2022]
Abstract
Inconsistent findings have been reported about the impact of structural disconnections on language function in post-stroke aphasia. This study investigated patterns of structural disconnections associated with chronic language impairments using disconnectome maps. Seventy-six individuals with post-stroke aphasia underwent a battery of language assessments and a structural MRI scan. Support-vector regression disconnectome-symptom mapping analyses were performed to examine the correlations between disconnectome maps, representing the probability of disconnection at each white matter voxel and different language scores. To further understand whether significant disconnections were primarily representing focal damage or a more extended network of seemingly preserved but disconnected areas beyond the lesion site, results were qualitatively compared to support-vector regression lesion-symptom mapping analyses. Part of the left white matter perisylvian network was similarly disconnected in 90% of the individuals with aphasia. Surrounding this common left perisylvian disconnectome, specific structural disconnections in the left fronto-temporo-parietal network were significantly associated with aphasia severity and with lower performance in auditory comprehension, syntactic comprehension, syntactic production, repetition and naming tasks. Auditory comprehension, repetition and syntactic processing deficits were related to disconnections in areas that overlapped with and extended beyond lesion sites significant in SVR-LSM analyses. In contrast, overall language abilities as measured by aphasia severity and naming seemed to be mostly explained by focal damage at the level of the insular and central opercular cortices, given the high overlap between SVR-DSM and SVR-LSM results for these scores. While focal damage seems to be sufficient to explain broad measures of language performance, the structural disconnections between language areas provide additional information on the neural basis of specific and persistent language impairments at the chronic stage beyond lesion volume. Leveraging routinely available clinical data, disconnectome mapping furthers our understanding of anatomical connectivity constraints that may limit the recovery of some language abilities in chronic post-stroke aphasia.
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Affiliation(s)
- Anne Billot
- Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, USA; School of Medicine, Boston University, Boston, MA, USA.
| | - Michel Thiebaut de Schotten
- Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France; Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France
| | - Todd B Parrish
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Cynthia K Thompson
- Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA
| | - Brenda Rapp
- Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA
| | - David Caplan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Swathi Kiran
- Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, USA
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Tang H, Fan S, Niu X, Li Z, Xiao P, Zeng J, Xing S. Remote cortical atrophy and language outcomes after chronic left subcortical stroke with aphasia. Front Neurosci 2022; 16:853169. [PMID: 35992910 PMCID: PMC9381815 DOI: 10.3389/fnins.2022.853169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 07/18/2022] [Indexed: 11/25/2022] Open
Abstract
Objective Subcortical stroke can cause a variety of language deficits. However, the neural mechanisms underlying subcortical aphasia after stroke remain incompletely elucidated. We aimed to determine the effects of distant cortical structures on aphasia outcomes and examine the correlation of cortical thickness measures with connecting tracts integrity after chronic left subcortical stroke. Methods Thirty-two patients and 30 healthy control subjects underwent MRI scanning and language assessment with the Western Aphasia Battery-Revised (WAB-R) subtests. Among patients, the cortical thickness in brain regions that related to language performance were assessed by the FreeSurfer software. Fiber tracts connecting the identified cortical regions to stroke lesions were reconstructed to determine its correlations with the cortical thickness measures across individual patient. Results Cortical thickness in different parts of the left fronto-temporo-parietal (FTP) regions were positively related to auditory-verbal comprehension, spontaneous speech and naming/word finding abilities when controlling for key demographic variables and lesion size. Cortical thickness decline in the identified cortical regions was positively correlated with integrity loss of fiber tracts connected to stroke lesions. Additionally, no significant difference in cortical thickness was found across the left hemisphere between the subgroup of patients with hypoperfusion (HP) and those without HP at stroke onset. Conclusions These findings suggest that remote cortical atrophy independently predicts language outcomes in patients with chronic left subcortical stroke and aphasia and that cortical thinning in these regions might relate to integrity loss of fiber tracts connected to stroke lesions.
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Affiliation(s)
- Huijia Tang
- Department of Neurology and Stroke Center, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shuhan Fan
- Department of Neurology and Stroke Center, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xingyang Niu
- Department of Neurology and Stroke Center, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhuhao Li
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Peiyi Xiao
- Department of Neurology and Stroke Center, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jinsheng Zeng
- Department of Neurology and Stroke Center, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shihui Xing
- Department of Neurology and Stroke Center, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Shihui Xing,
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Borelli E, Butera C, Katirai A, Adams TCE, Aziz-Zadeh L. Impact of motor stroke on novel and conventional action metaphor comprehension. BRAIN AND LANGUAGE 2022; 226:105081. [PMID: 35051790 DOI: 10.1016/j.bandl.2022.105081] [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: 08/01/2021] [Revised: 12/17/2021] [Accepted: 01/07/2022] [Indexed: 06/14/2023]
Abstract
Previous studies indicate that damage to motor brain regions impacts comprehension of literal action-related language. However, whether such damage also impacts comprehension of action-metaphors remains unknown. Such a finding would support the notion that metaphors are grounded in sensorimotor representations. Here we tested this hypothesis by comparing comprehension of novel, conventional, and frozen action and non-action metaphors in 14 right-handed adults with right-sided mild to moderate paresis following left hemisphere motor stroke and 23 neurotypical participants. Consistent with our hypothesis, results indicated that only in the stroke group, accuracy for action metaphors was significantly lower than for non-action metaphors. Further, in the stroke group, accuracy was significantly worse in the following pattern: novel < conventional < frozen action metaphors. These results strongly support the notion that motor-related brain regions are important not only for literal action-related language comprehension, but also for action-related metaphor comprehension, especially for less familiar metaphors.
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Affiliation(s)
- Eleonora Borelli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Center for Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy; Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA
| | - Christiana Butera
- Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA; Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Andrew Katirai
- Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA; Department of Medicine, University of California, Los Angeles, CA, USA
| | - Thomas C E Adams
- Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA; Department of Psychiatry, Cambridge Health Alliance, Cambridge, MA, USA
| | - Lisa Aziz-Zadeh
- Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA; Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA.
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Wajman JR, Cecchini MA. A simple counting of verbal fluency errors discriminates between normal cognition, mild cognitive impairment and Alzheimer's disease. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2022; 30:370-387. [PMID: 35174776 DOI: 10.1080/13825585.2022.2035668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
For this observational cross-sectional study, different modalities of verbal fluency tasks (VFTs) were compared between 143 participants: 35 cognitively healthy controls (CHCs), 71 mild cognitive impairment (MCI) and 37 mild Alzheimer's disease (AD) patients. Binomial logistic regression models were defined to identify VFT variables associated with MCI and AD, with respect to CHC. The results showed that the best errors/repetitions variable associated with MCI and AD was the phonemic task, and with every error the odds of being in the MCI group increased 9.9 times and 12.2 times in AD group, accompanied by high accuracy values (MCI: AUC = 0.824, sensitivity = 0.676, specificity = 0.943; AD: AUC = 0.883, sensitivity = 0.784, specificity = 0.943). The results suggest that, in addition to solely register raw scores, a simple counting of errors and repetitions during VFT can offer valuable clues in detecting MCI and AD, especially in the phonemic task.
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Affiliation(s)
- José R Wajman
- Department of Neurology and Neurosurgery, Hospital São Paulo, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
| | - Mário A Cecchini
- Human Cognitive Neuroscience, Psychology Department, University of Edinburgh, Edinburgh, UK
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Ohlerth AK, Bastiaanse R, Negwer C, Sollmann N, Schramm S, Schröder A, Krieg SM. Benefit of Action Naming Over Object Naming for Visualization of Subcortical Language Pathways in Navigated Transcranial Magnetic Stimulation-Based Diffusion Tensor Imaging-Fiber Tracking. Front Hum Neurosci 2021; 15:748274. [PMID: 34803634 PMCID: PMC8603927 DOI: 10.3389/fnhum.2021.748274] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 10/11/2021] [Indexed: 11/13/2022] Open
Abstract
Visualization of functionally significant subcortical white matter fibers is needed in neurosurgical procedures in order to avoid damage to the language network during resection. In an effort to achieve this, positive cortical points revealed during preoperative language mapping with navigated transcranial magnetic stimulation (nTMS) can be employed as regions of interest (ROIs) for diffusion tensor imaging (DTI) fiber tracking. However, the effect that the use of different language tasks has on nTMS mapping and subsequent DTI-fiber tracking remains unexplored. The visualization of ventral stream tracts with an assumed lexico-semantic role may especially benefit from ROIs delivered by the lexico-semantically demanding verb task, Action Naming. In a first step, bihemispheric nTMS language mapping was administered in 18 healthy participants using the standard task Object Naming and the novel task Action Naming to trigger verbs in a small sentence context. Cortical areas in which nTMS induced language errors were identified as language-positive cortical sites. In a second step, nTMS-based DTI-fiber tracking was conducted using solely these language-positive points as ROIs. The ability of the two tasks’ ROIs to visualize the dorsal tracts Arcuate Fascicle and Superior Longitudinal Fascicle, the ventral tracts Inferior Longitudinal Fascicle, Uncinate Fascicle, and Inferior Fronto-Occipital Fascicle, the speech-articulatory Cortico-Nuclear Tract, and interhemispheric commissural fibers was compared in both hemispheres. In the left hemisphere, ROIs of Action Naming led to a significantly higher fraction of overall visualized tracts, specifically in the ventral stream’s Inferior Fronto-Occipital and Inferior Longitudinal Fascicle. No difference was found between tracking with Action Naming vs. Object Naming seeds for dorsal stream tracts, neither for the speech-articulatory tract nor the inter-hemispheric connections. While the two tasks appeared equally demanding for phonological-articulatory processes, ROI seeding through the task Action Naming seemed to better visualize lexico-semantic tracts in the ventral stream. This distinction was not evident in the right hemisphere. However, the distribution of tracts exposed was, overall, mirrored relative to those in the left hemisphere network. In presurgical practice, mapping and tracking of language pathways may profit from these findings and should consider inclusion of the Action Naming task, particularly for lesions in ventral subcortical regions.
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Affiliation(s)
- Ann-Katrin Ohlerth
- Center for Language and Cognition Groningen, University of Groningen, Groningen, Netherlands.,International Doctorate for Experimental Approaches to Language and Brain (IDEALAB), University of Groningen, Groningen, Netherlands
| | - Roelien Bastiaanse
- Center for Language and Brain, National Research University Higher School of Economics, Moscow, Russia
| | - Chiara Negwer
- Department of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Nico Sollmann
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.,Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
| | - Severin Schramm
- Department of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Axel Schröder
- Department of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Sandro M Krieg
- Department of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
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12
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Zhang J, Zhou Z, Li L, Ye J, Shang D, Zhong S, Yao B, Xu C, Yu Y, He F, Ye X, Luo B. Cerebral perfusion mediated by thalamo-cortical functional connectivity in non-dominant thalamus affects naming ability in aphasia. Hum Brain Mapp 2021; 43:940-954. [PMID: 34698418 PMCID: PMC8764486 DOI: 10.1002/hbm.25696] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 10/14/2021] [Accepted: 10/15/2021] [Indexed: 02/04/2023] Open
Abstract
Naming is a commonly impaired language domain in various types of aphasia. Emerging evidence supports the cortico‐subcortical circuitry subserving naming processing, although neurovascular regulation of the non‐dominant thalamic and basal ganglia subregions underlying post‐stroke naming difficulty remains unclear. Data from 25 subacute stroke patients and 26 age‐, sex‐, and education‐matched healthy volunteers were analyzed. Region‐of‐interest‐wise functional connectivity (FC) was calculated to measure the strength of cortico‐subcortical connections. Cerebral blood flow (CBF) was determined to reflect perfusion levels. Correlation and mediation analyses were performed to identify the relationship between cortico‐subcortical connectivity, regional cerebral perfusion, and naming performance. We observed increased right‐hemispheric subcortical connectivity in patients. FC between the right posterior superior temporal sulcus (pSTS) and lateral/medial prefrontal thalamus (lPFtha/mPFtha) exhibited significantly negative correlations with total naming score. Trend‐level increased CBF in subcortical nuclei, including that in the right lPFtha, and significant negative correlations between naming and regional perfusion of the right lPFtha were observed. The relationship between CBF in the right lPFtha and naming was fully mediated by the lPFtha‐pSTS connectivity in the non‐dominant hemisphere. Our findings suggest that perfusion changes in the right thalamic subregions affect naming performance through thalamo‐cortical circuits in post‐stroke aphasia. This study highlights the neurovascular pathophysiology of the non‐dominant hemisphere and demonstrates thalamic involvement in naming after stroke.
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Affiliation(s)
- Jie Zhang
- Rehabilitation Medicine Center & Rehabilitation Research Institute of Zhejiang Province, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.,Department of Neurology & Brain Medical Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhen Zhou
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lingling Li
- Department of Neurology & Brain Medical Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Ye
- Rehabilitation Medicine Center & Rehabilitation Research Institute of Zhejiang Province, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China
| | - Desheng Shang
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuchang Zhong
- Rehabilitation Medicine Center & Rehabilitation Research Institute of Zhejiang Province, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China
| | - Bo Yao
- Rehabilitation Medicine Center & Rehabilitation Research Institute of Zhejiang Province, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China
| | - Cong Xu
- Rehabilitation Medicine Center & Rehabilitation Research Institute of Zhejiang Province, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China
| | - Yamei Yu
- Department of Neurology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Fangping He
- Department of Neurology & Brain Medical Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiangming Ye
- Rehabilitation Medicine Center & Rehabilitation Research Institute of Zhejiang Province, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China
| | - Benyan Luo
- Department of Neurology & Brain Medical Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Collaborative Innovation Center for Brain Science, Zhejiang University School of Medicine, Hangzhou, China
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13
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Structural and functional motor-network disruptions predict selective action-concept deficits: Evidence from frontal lobe epilepsy. Cortex 2021; 144:43-55. [PMID: 34637999 DOI: 10.1016/j.cortex.2021.08.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 07/12/2021] [Accepted: 08/05/2021] [Indexed: 12/22/2022]
Abstract
Built on neurodegenerative lesions models, the disrupted motor grounding hypothesis (DMGH) posits that motor-system alterations selectively impair action comprehension. However, major doubts remain concerning the dissociability, neural signatures, and etiological generalizability of such deficits. Few studies have compared action-concept outcomes between disorders affecting and sparing motor circuitry, and none has examined their multimodal network predictors via data-driven approaches. Here, we first assessed action- and object-concept processing in patients with frontal lobe epilepsy (FLE), patients with posterior cortex epilepsy (PCE), and healthy controls. Then, we examined structural and functional network signatures via diffusion tensor imaging and resting-state connectivity measures. Finally, we used these measures to predict behavioral performance with an XGBoost machine learning regression algorithm. Relative to controls, FLE (but not PCE) patients exhibited selective action-concept deficits together with structural and functional abnormalities along motor networks. The XGBoost model reached a significantly large effect size only for action-concept outcomes in FLE, mainly predicted by structural (cortico-spinal tract, anterior thalamic radiation, uncinate fasciculus) and functional (M1-parietal/supramarginal connectivity) motor networks. These results extend the DMGH, suggesting that action-concept deficits are dissociable markers of frontal/motor (relative to posterior) disruptions, directly related to the structural and functional integrity of motor networks, and traceable beyond canonical movement disorders.
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14
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Sander K, Barbeau EB, Chai X, Kousaie S, Petrides M, Baum S, Klein D. Frontoparietal Anatomical Connectivity Predicts Second Language Learning Success. Cereb Cortex 2021; 32:2602-2610. [PMID: 34607363 DOI: 10.1093/cercor/bhab367] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 08/31/2021] [Accepted: 09/07/2021] [Indexed: 11/15/2022] Open
Abstract
There is considerable individual variability in second language (L2) learning abilities in adulthood. The inferior parietal lobule, important in L2 learning success, is anatomically connected to language areas in the frontal lobe via the superior longitudinal fasciculus (SLF). The second and third branches of the SLF (SLF II and III) have not been examined separately in the context of language, yet they are known to have dissociable frontoparietal connections. Studying these pathways and their functional contributions to L2 learning is thus of great interest. Using diffusion MRI tractography, we investigated individuals undergoing language training to explore brain structural predictors of L2 learning success. We dissected SLF II and III using gold-standard anatomical definitions and related prelearning white matter integrity to language improvements corresponding with hypothesized tract functions. SLF II properties predicted improvement in lexical retrieval, while SLF III properties predicted improvement in articulation rate. Finer grained separation of these pathways enables better understanding of their distinct roles in language, which is essential for studying how anatomical connectivity relates to L2 learning abilities.
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Affiliation(s)
- Kaija Sander
- Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.,Centre for Research on Brain, Language, and Music (CRBLM), Montreal, QC H3G 2A8, Canada
| | - Elise B Barbeau
- Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.,Centre for Research on Brain, Language, and Music (CRBLM), Montreal, QC H3G 2A8, Canada
| | - Xiaoqian Chai
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.,Centre for Research on Brain, Language, and Music (CRBLM), Montreal, QC H3G 2A8, Canada
| | - Shanna Kousaie
- Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.,School of Psychology, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Michael Petrides
- Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.,Centre for Research on Brain, Language, and Music (CRBLM), Montreal, QC H3G 2A8, Canada.,Department of Psychology, McGill University, Montreal, QC H3A 1G1, Canada
| | - Shari Baum
- Centre for Research on Brain, Language, and Music (CRBLM), Montreal, QC H3G 2A8, Canada.,School of Communication Sciences and Disorders, McGill University, Montreal, QC, H3A 1G1, Canada
| | - Denise Klein
- Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.,Centre for Research on Brain, Language, and Music (CRBLM), Montreal, QC H3G 2A8, Canada
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15
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Lukic S, Borghesani V, Weis E, Welch A, Bogley R, Neuhaus J, Deleon J, Miller ZA, Kramer JH, Miller BL, Dronkers NF, Gorno-Tempini ML. Dissociating nouns and verbs in temporal and perisylvian networks: Evidence from neurodegenerative diseases. Cortex 2021; 142:47-61. [PMID: 34182153 PMCID: PMC8556704 DOI: 10.1016/j.cortex.2021.05.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 02/27/2021] [Accepted: 05/08/2021] [Indexed: 12/11/2022]
Abstract
Naming of nouns and verbs can be selectively impaired in neurological disorders, but the specificity of the neural and cognitive correlates of such dissociation remains unclear. Functional imaging and stroke research sought to identify cortical regions selectively recruited for nouns versus verbs, yet findings are inconsistent. The present study investigated this issue in neurodegenerative diseases known to selectively affect different brain networks, thus providing new critical evidence of network specificity. We examined naming performances on nouns and verbs in 146 patients with different neurodegenerative syndromes (Primary Progressive Aphasia - PPA, Alzheimer's disease - AD, and behavioral variant Frontotemporal Dementia - FTD) and 30 healthy adults. We then correlated naming scores with MRI-derived cortical thickness values as well as with performances in semantic and syntactic tasks, across all subjects. Results indicated that patients with the semantic variant PPA named significantly fewer nouns than verbs. Instead, nonfluent/agrammatic PPA patients named fewer verbs than nouns. Across all subjects, performance on nouns (adjusted for verbs) specifically correlated with cortical atrophy in left anterior temporal regions, and performance on verbs (adjusted for nouns) with atrophy in left inferior and middle frontal, inferior parietal and posterior temporal regions. Furthermore, lower lexical-semantic abilities correlated with deficits in naming both nouns and verbs, while lower syntactic abilities only correlated with naming verbs. Our results show that different neural and cognitive mechanisms underlie naming of specific grammatical categories in neurodegenerative diseases. Importantly, our findings showed that verb processing depends on a widespread perisylvian networks, suggesting that some regions might be involved in processing different types of action knowledge. These findings have important implications for early differential diagnosis of neurodegenerative disorders.
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Affiliation(s)
- Sladjana Lukic
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
| | - Valentina Borghesani
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Elizabeth Weis
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Ariane Welch
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Rian Bogley
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - John Neuhaus
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jessica Deleon
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Zachary A Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Nina F Dronkers
- University of California, Berkeley, CA, USA; University of California, Davis, CA, USA
| | - Maria L Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
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16
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Moguilner S, Birba A, Fino D, Isoardi R, Huetagoyena C, Otoya R, Tirapu V, Cremaschi F, Sedeño L, Ibáñez A, García AM. Multimodal neurocognitive markers of frontal lobe epilepsy: Insights from ecological text processing. Neuroimage 2021; 235:117998. [PMID: 33789131 PMCID: PMC8272524 DOI: 10.1016/j.neuroimage.2021.117998] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 03/15/2021] [Accepted: 03/24/2021] [Indexed: 01/07/2023] Open
Abstract
The pressing call to detect sensitive cognitive markers of frontal lobe epilepsy (FLE) remains poorly addressed. Standard frameworks prove nosologically unspecific (as they reveal deficits that also emerge across other epilepsy subtypes), possess low ecological validity, and are rarely supported by multimodal neuroimaging assessments. To bridge these gaps, we examined naturalistic action and non-action text comprehension, combined with structural and functional connectivity measures, in 19 FLE patients, 19 healthy controls, and 20 posterior cortex epilepsy (PCE) patients. Our analyses integrated inferential statistics and data-driven machine-learning classifiers. FLE patients were selectively and specifically impaired in action comprehension, irrespective of their neuropsychological profile. These deficits selectively and specifically correlated with (a) reduced integrity of the anterior thalamic radiation, a subcortical structure underlying motoric and action-language processing as well as epileptic seizure spread in this subtype; and (b) hypoconnectivity between the primary motor cortex and the left-parietal/supramarginal regions, two putative substrates of action-language comprehension. Moreover, machine-learning classifiers based on the above neurocognitive measures yielded 75% accuracy rates in discriminating individual FLE patients from both controls and PCE patients. Briefly, action-text assessments, combined with structural and functional connectivity measures, seem to capture ecological cognitive deficits that are specific to FLE, opening new avenues for discriminatory characterizations among epilepsy types.
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Affiliation(s)
- Sebastian Moguilner
- Global Brain Health Institute, UCSF, California, US, & Trinity College Dublin, Dublin, Ireland; Nuclear Medicine School Foundation (FUESMEN), National Commission of Atomic Energy (CNEA), Mendoza, Argentina
| | - Agustina Birba
- University of San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Daniel Fino
- Nuclear Medicine School Foundation (FUESMEN), National Commission of Atomic Energy (CNEA), Mendoza, Argentina; Fundación Argentina para el Desarrollo en Salud, Mendoza, Argentina
| | - Roberto Isoardi
- Nuclear Medicine School Foundation (FUESMEN), National Commission of Atomic Energy (CNEA), Mendoza, Argentina
| | - Celeste Huetagoyena
- Neuromed, Clinical Neuroscience, Mendoza, Argentina; Universidad Católica Argentina
| | - Raúl Otoya
- Neuromed, Clinical Neuroscience, Mendoza, Argentina
| | - Viviana Tirapu
- Nuclear Medicine School Foundation (FUESMEN), National Commission of Atomic Energy (CNEA), Mendoza, Argentina; Neuromed, Clinical Neuroscience, Mendoza, Argentina
| | - Fabián Cremaschi
- Nuclear Medicine School Foundation (FUESMEN), National Commission of Atomic Energy (CNEA), Mendoza, Argentina; Neuroscience Department of the School of Medicine, National University of Cuyo, Mendoza, Argentina; Santa Isabel de Hungría Hospital, Mendoza, Argentina
| | - Lucas Sedeño
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Agustín Ibáñez
- Global Brain Health Institute, UCSF, California, US, & Trinity College Dublin, Dublin, Ireland; University of San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Adolfo M García
- Global Brain Health Institute, UCSF, California, US, & Trinity College Dublin, Dublin, Ireland; University of San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Faculty of Education, National University of Cuyo (UNCuyo), Mendoza, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile.
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17
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Dresang HC, Hula WD, Yeh FC, Warren T, Dickey MW. White-Matter Neuroanatomical Predictors of Aphasic Verb Retrieval. Brain Connect 2021; 11:319-330. [PMID: 33470167 DOI: 10.1089/brain.2020.0921] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Current neurocognitive models of language function have been primarily built from evidence regarding object naming, and their hypothesized white-matter circuit mechanisms tend to be coarse grained. Methods: In this cross-sectional, observational study, we used novel correlational tractography to assess the white-matter circuit mechanism behind verb retrieval, measured through action picture-naming performance in adults with chronic aphasia. Results: The analysis identified tracts implicated in current neurocognitive dual-stream models of language function, including the left inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, and arcuate fasciculus. However, the majority of tracts associated with verb retrieval were not ones included in dual-stream models of language function. Instead, they were projection pathways that connect frontal and parietal cortices to subcortical regions associated with motor functions, including the left corticothalamic pathway, frontopontine tract, parietopontine tract, corticostriatal pathway, and corticospinal tract. Conclusions: These results highlight that corticosubcortical projection pathways implicated in motor functions may be importantly related to language function. This finding is consistent with grounded accounts of cognition and may furthermore inform neurocognitive models. Impact statement This study suggests that in addition to traditional dual-stream language fiber tracts, the integrity of projection pathways that connect frontal and parietal cortices to subcortical motor regions may be critically associated with verb-retrieval impairments in adults with aphasia. This finding challenges neurological models of language function.
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Affiliation(s)
- Haley C Dresang
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.,VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - William D Hula
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Tessa Warren
- Learning Research and Development Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michael Walsh Dickey
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.,VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
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18
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Ivanova MV, Herron TJ, Dronkers NF, Baldo JV. An empirical comparison of univariate versus multivariate methods for the analysis of brain-behavior mapping. Hum Brain Mapp 2020; 42:1070-1101. [PMID: 33216425 PMCID: PMC7856656 DOI: 10.1002/hbm.25278] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 10/14/2020] [Accepted: 10/29/2020] [Indexed: 02/06/2023] Open
Abstract
Lesion symptom mapping (LSM) tools are used on brain injury data to identify the neural structures critical for a given behavior or symptom. Univariate lesion symptom mapping (ULSM) methods provide statistical comparisons of behavioral test scores in patients with and without a lesion on a voxel by voxel basis. More recently, multivariate lesion symptom mapping (MLSM) methods have been developed that consider the effects of all lesioned voxels in one model simultaneously. In the current study, we provide a much-needed systematic comparison of several ULSM and MLSM methods, using both synthetic and real data to identify the potential strengths and weaknesses of both approaches. We tested the spatial precision of each LSM method for both single and dual (network type) anatomical target simulations across anatomical target location, sample size, noise level, and lesion smoothing. Additionally, we performed false positive simulations to identify the characteristics associated with each method's spurious findings. Simulations showed no clear superiority of either ULSM or MLSM methods overall, but rather highlighted specific advantages of different methods. No single method produced a thresholded LSM map that exclusively delineated brain regions associated with the target behavior. Thus, different LSM methods are indicated, depending on the particular study design, specific hypotheses, and sample size. Overall, we recommend the use of both ULSM and MLSM methods in tandem to enhance confidence in the results: Brain foci identified as significant across both types of methods are unlikely to be spurious and can be confidently reported as robust results.
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Affiliation(s)
- Maria V Ivanova
- University of California, Berkeley, California, USA.,VA Northern California Health Care System, Martinez, California, USA
| | - Timothy J Herron
- VA Northern California Health Care System, Martinez, California, USA
| | - Nina F Dronkers
- University of California, Berkeley, California, USA.,VA Northern California Health Care System, Martinez, California, USA.,University of California, Davis, California, USA
| | - Juliana V Baldo
- VA Northern California Health Care System, Martinez, California, USA
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19
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Papagno C, Casarotti A, Zarino B, Crepaldi D. A new test of action verb naming: normative data from 290 Italian adults. Neurol Sci 2020; 41:2811-2817. [PMID: 32281040 DOI: 10.1007/s10072-020-04353-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 03/16/2020] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Verbs and nouns can be selectively impaired, suggesting that they are processed, at least in part, by distinct neural structures. While several tests of object naming are available, tasks involving action verb naming with normative data are lacking. We report the construction and standardization of a new test for the assessment of picture naming of actions. MATERIAL AND METHODS The test includes 50 stimuli, strictly controlled for several confounding variables. Normative data on 290 Italian subjects pooled across homogenous subgroups for age, sex, and education are reported. RESULTS Multiple regression analyses revealed that age and education significantly correlated with the subject's score. In particular, increasing age negatively affected performance, while the performance increased with a higher education. CONCLUSIONS In the clinical practice, the availability of equivalent scores will help the comparison with performance in the picture naming of objects. This test allows investigating action naming deficits in aphasic patients, in Parkinson's disease patients and in further neurodegenerative disorders, in which a specific impairment of action verbs is expected, filling a gap in the clinical neuropsychological assessment.
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Affiliation(s)
- Costanza Papagno
- CeRiN, CIMeC, University of Trento, Rovereto, Italy.
- Department of Psychology, University of Milano-Bicocca, Milan, Italy.
| | - Alessandra Casarotti
- Unit of Oncological Neurosurgery, Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Barbara Zarino
- Neurosurgery Unit, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Milan, Italy
| | - Davide Crepaldi
- International School for Advanced Studies (SISSA), Trieste, Italy
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20
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Deng X, Wei X, Zhang Y, Wang B, Zhang D, Yu S, Jiang T, Zhao J. Impact of AVM location on language cortex right-hemisphere reorganization: A voxel-based lesion-symptom mapping study. Clin Neurol Neurosurg 2019; 189:105628. [PMID: 31838451 DOI: 10.1016/j.clineuro.2019.105628] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 11/25/2019] [Accepted: 11/27/2019] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Cerebral arteriovenous malformations (AVMs) are congenital malformations, and right-sided dominance of the language cortex is not a rare phenomenon for patients with AVM involving language area. We tried to use voxel-based lesion-symptom mapping (VLSM) method to depict the location of AVM nidus and to demonstrate the relationship between AVM location and the pattern of language cortex reorganization. PATIENTS AND METHODS The authors retrospectively reviewed clinical and imaging data of 70 adult patients with unruptured cerebral AVMs who underwent blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) of language task. All patients were right handed, and all lesions were located in the left cerebral hemisphere. Lateralization indexes (LI) of the BOLD signals were calculated for Broca and Wernicke areas separately and were used to reflect the degree of right-sided dominance of the two language areas. VLSM method was applied to study the relationship between AVM location and LI of language task activations. RESULTS Statistical analysis revealed that the change of LI of Broca area was significantly associated with lesions located in the inferior frontal gyrus, pre- and post-central gyrus, supramarginal gyrus and middle frontal gyrus. The change of LI of Wernicke area was significantly associated with lesions located in the left superior, middle, inferior and transverse temporal gyrus. CONCLUSION These findings provide new evidence that the language cortex reorganization patterns in AVM patients have anatomic specificity.
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Affiliation(s)
- Xiaofeng Deng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xuehu Wei
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China; Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Bo Wang
- State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Dong Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shaochen Yu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China; Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China.
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