Systematic Review and Meta-Analyses of Word Production Abilities in Dysfunction of the Basal Ganglia: Stroke, Small Vessel Disease, Parkinson’s Disease, and Huntington’s Disease

Camerino, Ileana; Ferreira, João; Vonk, Jet M.J.; Kessels, Roy P. C.; Leeuw, Frank‐Erik de; Roelofs, Ardi; Copland, David A.; Piai, Vitória

doi:10.1007/s11065-022-09570-3

Cited by 7 publications

(2 citation statements)

References 187 publications

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“…Other regions comprised left precentral and subcortical regions in the basal ganglia (putamen and caudate nucleus), linked to sequencing operations during speech processing and often reported in fluency tasks in the healthy brain. 60,61 While the contribution of subcortical regions beyond the thalamus to clinical language impairments is still debated 62,63 , our in-depth quantifications add evidence for a key contribution of the basal ganglia in the left hemisphere to fluent speech operations. Notably, our findings in single brain regions were supported by complementary information from lesion atom-deficit associations, providing evidence for the relevance of the left precentral cortex and adjacent middle and inferior frontal regions, which are key regions for executive semantic processes 30,58,64 and implicated in executive speech control.…”

Section: Discussionmentioning

confidence: 81%

Bayesian modeling disentangles language versus executive control disruption in stroke

Hartwigsen,

Lim,

Bae

et al. 2023

Preprint

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Stroke is the leading cause of long-term disability worldwide. Incurred brain tissue damage disrupts cognition, often with persisting deficits in language and executive capacities. Yet, despite their clinical relevance, the commonalities, and differences of impairments in language versus executive functions remain under-specified. To fill this gap, we tailored a Bayesian hierarchical modeling solution in a largest-of-its-kind clinical cohort (1080 stroke patients) to deconvolve language and executive control in the brain substrates of stroke insults. Individual deficits were characterized by a rich neuropsychological test battery. Bayesian modeling predicted interindividual differences in eight cognitive outcome scores 3 months after stroke based on specific tissue lesion topologies. We identified unique anterior-posterior and left-right principles that underlie the impairment of both cognitive functions due to distributed lesion patterns. A factor analyses extracted four distinct cognitive factors that distinguished left- and right-hemispheric contributions to ischemic tissue lesion. Language was primarily affected by lesions to prefrontal and temporal regions in the left hemisphere, while executive control impairments were preferentially linked to damage of occipital and postcentral regions in the right hemisphere. The interplay of both cognitive dimensions was reflected in two distinct factors, tracking executive speech functions and verbal memory capacities. Impairments on these two cognitive factors were mainly linked to left-hemispheric lesion atoms, with only minor contributions of right-hemispheric regions. These identified left-hemispheric regions covered pre- and postcentral regions associated with cognitive control as well as motor cortices. Zooming in on specific lesion topologies across the whole brain provided a fine-grained picture of impairment dimensions associated with distinct lesion atom patterns and specific brain regions for each identified cognitive factor. The identified factors also differed in their overlap with language and executive control networks. These findings shed light onto the causal implications of hemispheric specialization for human cognition; and make steps towards subgroup-specific treatment protocols to benefit stroke patients.

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Section: Discussionmentioning

confidence: 81%

Bayesian modeling disentangles language versus executive control disruption in stroke

Hartwigsen,

Lim,

Bae

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…The sagittal stratum is a broad corticosubcortical white matter bundle that connects parietal, occipital, cingulate, and temporal regions to the thalamus (as well as brainstem structures). Recent meta-analysis has indicated that damage to the basal ganglia, which includes the ansa lenticularis, as a result of stroke or other pathologies is associated with naming impairment relative to controls (Camerino et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Excellence is a habit: Enhancing predictions of language impairment by identifying stable features in clinical perfusion scans

Teghipco,

Kim,

Rorden

et al. 2023

Preprint

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Perfusion images guide acute stroke management, yet few studies have been able to systematically investigate CT perfusion collected during routine care because the measures are stored in proprietary formats incompatible with conventional research analysis pipelines. We illustrate the potential of harnessing granular data from these routine scans by using them to identify the association between specific areas of hypoperfusion and severity of object naming impairment in 43 acute stroke patients. Traditionally, similar analyses in such sample sizes face a dilemma:simple models risk being too constrained to make accurate predictions, while complex models risk overfitting and producing poor out-of-sample predictions. We demonstrate that evaluating the stability rather than out-of-sample predictive capacity of features in a nested cross-validation scheme can be an effective way of controlling model complexity and stabilizing model estimates across a variety of different regression techniques. Specifically, we show that introducing this step can determine model significance, even when the regression model already contains an embedded feature selection or dimensionality reduction step, or if a subset of features is manually selected prior to training based on expert knowledge. After improving model performance using more complex regression techniques, we discover that object naming performance relies on an extended language network encompassing regions thought to play a larger role in different naming tasks, right hemisphere regions distal to the site of injury, and regions and tracts that are less typically associated with language function. Our findings especially emphasize the role of the left superior temporal gyrus, uncinate fasciculus, and posterior insula in successful prediction of object naming impairment. Collectively, these results highlight the untapped potential of clinical CT perfusion images and demonstrate a flexible framework for enabling prediction in the limited sample sizes that currently dominate clinical neuroimaging.

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An fMRI study of inflectional encoding in spoken word production: Role of domain-general inhibition

Ferreira¹,

Roelofs²,

Freches³

et al. 2023

Neuropsychologia

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Systematic Review and Meta-Analyses of Word Production Abilities in Dysfunction of the Basal Ganglia: Stroke, Small Vessel Disease, Parkinson’s Disease, and Huntington’s Disease

Cited by 7 publications

References 187 publications

Bayesian modeling disentangles language versus executive control disruption in stroke

Bayesian modeling disentangles language versus executive control disruption in stroke

Excellence is a habit: Enhancing predictions of language impairment by identifying stable features in clinical perfusion scans

An fMRI study of inflectional encoding in spoken word production: Role of domain-general inhibition

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