Brain Areas Critical for Picture Naming: A Systematic Review and Meta-Analysis of Lesion-Symptom Mapping Studies

Piai, Vitória; Eikelboom, Dilys

doi:10.1162/nol_a_00097

Cited by 8 publications

(3 citation statements)

References 71 publications

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“…Further, the left posterior insula emerged as having a slightly higher overall positive effect on model predictions than the left superior temporal gyrus. While some studies have found an association between damage in the inferior frontal gyrus and naming impairment, recent work suggests that this effect is not consistent across studies, unlike associations in temporal and inferior parietal cortex (Piai & Eikelboom, 2023). Our results further show that despite exhibiting a significant association with language impairment, perfusion in pars triangularis does not consistently predict impairment.…”

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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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

View full text Add to dashboard Cite

show abstract

“…Additionally, it has been supported that the BNT test requires the naming of a variety of tools [75]. Thus, lesions in the inferior parietal lobe could lead to naming deficits, as this area has been linked to the manipulation and word finding of hand-used tools [76]. On the other hand, a substantial amount of evidence has established the fundamental role of the inferior frontal gyrus in the speech fluency of acute patients with aphasia, which is validated by our findings well [10,15].…”

Section: Discussionmentioning

confidence: 99%

Investigating Aphasia Recovery: Demographic and Clinical Factors

Papageorgiou,

Kasselimis,

Angelopoulou

et al. 2023

Brain Sciences

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Post-stroke language recovery remains one of the main unresolved topics in the field of aphasia. In recent years, there have been efforts to identify specific factors that could potentially lead to improved language recovery. However, the exact relationship between the recovery of particular language functions and possible predictors, such as demographic or lesion variables, is yet to be fully understood. In the present study, we attempted to investigate such relationships in 42 patients with aphasia after left hemisphere stroke, focusing on three language domains: auditory comprehension, naming and speech fluency. Structural imaging data were also obtained for the identification of the lesion sites. According to our findings, patients demonstrated an overall improvement in all three language domains, while no demographic factor significantly contributed to aphasia recovery. Interestingly, specific lesion loci seemed to have a differential effect on language performance, depending on the time of testing (i.e., acute/subacute vs. chronic phase). We argue that this variability concerning lesion–deficit associations reflects the dynamic nature of aphasia and further discuss possible explanations in the framework of neuroplastic changes during aphasia recovery.

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“…Clinical settings often employ a battery of naming tasks, commonly including visual naming, verb generation, reading, and repetition [3,[5][6][7][8]. These are widely used in intraoperative language mapping [9][10][11][12][13][14], neuroimaging studies [15][16][17][18][19], neuropsychological assessments [7,20,21], and postsurgical outcome evaluation [6,8,[22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

A left-lateralized dorsolateral prefrontal network for naming

Yu,

Dugan,

Doyle

et al. 2024

Preprint

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The ability to connect the form and meaning of a concept, known as word retrieval, is fundamental to human communication. While various input modalities could lead to identical word retrieval, the exact neural dynamics supporting this convergence relevant to daily auditory discourse remain poorly understood. Here, we leveraged neurosurgical electrocorticographic (ECoG) recordings from 48 patients and dissociated two key language networks that highly overlap in time and space integral to word retrieval. Using unsupervised temporal clustering techniques, we found a semantic processing network located in the middle and inferior frontal gyri. This network was distinct from an articulatory planning network in the inferior frontal and precentral gyri, which was agnostic to input modalities. Functionally, we confirmed that the semantic processing network encodes word surprisal during sentence perception. Our findings characterize how humans integrate ongoing auditory semantic information over time, a critical linguistic function from passive comprehension to daily discourse.

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Brain Areas Critical for Picture Naming: A Systematic Review and Meta-Analysis of Lesion-Symptom Mapping Studies

Cited by 8 publications

References 71 publications

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

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

Investigating Aphasia Recovery: Demographic and Clinical Factors

A left-lateralized dorsolateral prefrontal network for naming

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