The Neurofunctional Correlates of Morphosyntactic and Thematic Impairments in Aphasia: A Systematic Review and Meta-analysis

Neuropsychology Review, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 31, 2024

Abstract Lesion-symptom studies in persons with aphasia showed that left temporoparietal damage, but surprisingly not prefrontal correlates impaired ability to process thematic roles the comprehension of semantically reversible sentences ( The child is hugged by mother ). This result has led challenge time-honored view regions are critical for sentence comprehension. However, most focused on role assignment and failed consider morphosyntactic processes also processing. We reviewed meta-analyzed lesion-symptom neurofunctional processing production aphasia. Following PRISMA checklist, we selected 43 papers review 27 meta-analysis, identifying a set potential bias risks. Both meta-analysis confirmed correlation between clearly involvement Exploratory meta-analyses suggested both correlate regions, structures more than displays opposite trend. discuss current limitations literature propose recommendations clarifying unresolved issues.

Language: Английский

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Comparing the brain–behaviour relationship in acute and chronic stroke aphasia

Brain Communications, Journal Year: 2023, Volume and Issue: 5(2)

Published: March 2, 2023

Abstract In stroke aphasia, lesion volume is typically associated with aphasia severity. Although this relationship likely present throughout recovery, different factors may affect and behaviour early into recovery (acute) in the later stages of (chronic). Therefore, studies separate patients two groups (acute/chronic), often accompanied arguments for against using data from acute over chronic. However, no comprehensive have provided strong evidence whether lesion–behaviour comparable to trajectory. To that end, we investigated aims: (i) chronic yield similar results region-based lesion-symptom mapping analyses (ii) if models based on one timepoint accurately predict other. Lesions severity scores (N = 63) 109) survivors were entered univariate analyses. A support vector regression model was trained either or set give an estimate Four model-based conducted: acute/chronic leave-one-out, tested left-out other timepoint. Region-based identified but not identical regions both timepoints. All four revealed positive correlations between actual predicted Western Aphasia Battery-Revised aphasia-quotient scores. Lesion-to-behaviour predictions almost equivalent when comparing within versus across stage, despite differing size/locations distributions This suggests research investigating brain–behaviour including subsets only also be applicable at timepoints, although it important note these findings seen broad measures such as severity, rather than those aimed identifying more specific deficits. Subtle differences found timepoints useful understanding nature time. Stronger predicting (e.g. acute: r 0.6888, P < 0.001, 0.5014, 0.001) suggest lesion/perfusion patterns capture critical changes underlying vascular territories. Differences brain shed light patterns. Future could focus a longitudinal design compare controlled manner.

Language: Английский

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Network-based statistics distinguish anomic and Broca’s aphasia

Brain Structure and Function, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 30, 2023

Language: Английский

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Discourse- and lesion-based aphasia quotient estimation using machine learning

NeuroImage Clinical, Journal Year: 2024, Volume and Issue: 42, P. 103602 - 103602

Published: Jan. 1, 2024

Discourse is a fundamentally important aspect of communication, and discourse production provides wealth information about linguistic ability. Aphasia commonly affects, in multiple ways, the ability to produce discourse. Comprehensive aphasia assessments such as Western Battery-Revised (WAB-R) are time- resource-intensive. We examined whether measures can be used estimate WAB-R Quotient (AQ), this serve an ecologically valid, less resource-intensive measure. features extracted from tasks using three AphasiaBank prompts involving expositional (picture description), story narrative, procedural These were train machine learning model predict AQ. also compared supplemented with lesion location structural neuroimaging. found that discourse-based models could AQ well, they outperformed based on features. Addition did not improve performance substantially. Inspection most informative revealed different prompt types taxed aspects language. findings suggest severity, provide insight into content elicited by prompts.

Language: Английский

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Mapping sentence comprehension and syntactic complexity: evidence from 131 stroke survivors

Brain Communications, Journal Year: 2024, Volume and Issue: 6(6)

Published: Jan. 1, 2024

Abstract Understanding and interpreting how words are organized in a sentence to convey distinct meanings is cornerstone of human communication. The neural underpinnings this ability, known as syntactic comprehension, far from agreed upon current neurocognitive models language comprehension. Traditionally, left frontal regions (e.g. posterior inferior gyrus) were considered critical, while more recently, temporal (most prominently, middle have been identified indispensable Syntactic processing has investigated by using different types non-canonical sentences i.e. those that do not follow prototypical word order syntactically complex. However, can be complex for linguistic reasons, thus, their comprehension might rely on underpinnings. In cross-sectional study, we explored the correlates investigating roles hemisphere brain white matter pathways with levels complexity. Participants assessed at single point time structural MRI behavioural tests. Employing lesion–symptom mapping indirect disconnection cohort 131 stroke survivors, our analysis revealed following underlying crucial general comprehension: mid-posterior superior gyrus, gyrus sulcus longitudinal fasciculus, fronto-occipital uncinate fasciculus tracts crossing most part corpus callosum. We further found significant involvement connecting lobes types. Spared connections between critical requiring long-distance retrieval (spared both subject object extraction spared arcuate extraction) but passive canonical declarative sentences. Our results challenge traditional emphasize primary role regions, such Broca’s area, basic structure findings suggest gradient complexity, rather than clear-cut dichotomy structures. contribute nuanced understanding architecture highlight potential directions future research.

Language: Английский

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A Rose by Any Other Name: Mapping Taxonomic and Thematic Naming Errors Poststroke

Journal of Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 36(10), P. 2251 - 2267

Published: Jan. 1, 2024

Understanding the neurobiology of semantic knowledge is a major goal cognitive neuroscience. Taxonomic and thematic are represented differently within brain's conceptual networks, but specific neural mechanisms remain unclear. Some neurobiological models propose that anterior temporal lobe an important hub for taxonomic knowledge, whereas TPJ especially involved in representation knowledge. However, recent studies have provided divergent evidence. In this context, we investigated correlates confrontation naming errors 79 people with aphasia. We used three complementary lesion-symptom mapping (LSM) methods to investigate how structure function both spared impaired brain regions relate errors. Voxel-based LSM mapped damage, activation-based BOLD signal surviving tissue, network-based white matter subnetwork integrity error type. Voxel- lesion symptom converging evidence damage/disruption left mid-to-anterior was associated greater proportion Activation-based revealed higher during in-house task on Philadelphia Naming Test administered outside scanner. A lower bilateral angular gyrus, precuneus, right inferior frontal cortex These findings provide novel damage related

Language: Английский

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Benchmarking Machine Learning Models in Lesion-Symptom Mapping for Predicting Language Outcomes in Stroke Survivors

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 21, 2024

Several decades of research have investigated neural connections between stroke-induced brain damage and language difficulties. Typically, lesion-symptom mapping (LSM) studies addressing this connection relied on mass univariate statistics, which do not account for intricate, multidimensional relationships variables. Machine learning (ML) techniques, can capture these intricate connections, offer a promising complement to LSM methods. To test promise, we benchmark ML models structural functional MRI predict aphasia severity (N=238) naming impairment (N=191) cohort chronic-stage stroke survivors. We used nested cross-validation examine performance along three dimensions: (1) parcellation schemes (JHU, AAL, BRO, AICHA atlases), (2) neuroimaging modalities (resting-state connectivity, mean diffusivity, fractional anisotropy, lesion location) (3) methods (Random Forest, Support Vector Regression, Decision Tree, K Nearest Neighbors, Gradient Boosting). The best results were obtained by combining the JHU atlas, location, Random Forest model. This combination yielded moderate high correlations with both behavioral scores. Key regions identified included several perisylvian areas pathways within network. work complements existing new tools improving prediction outcomes in

Language: Английский

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