Anterior Temporal Lobe Morphometry Predicts Categorization Ability

Garcin, Béatrice; Urbanski, Marika; Schotten, Michel Thiebaut de; Lévy, Richard; Volle, Emmanuelle

doi:10.3389/fnhum.2018.00036

Cited by 13 publications

(10 citation statements)

References 98 publications

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“…As there was a full consensus on the category membership of our stimuli, it is more likely that individual differences in color naming and categorization RT reflected the speed with which colors reach the verbal lexicon and domain general categorization networks, for the two tasks respectively. This interpretation is consistent with previous reports on links between response times and brain connectivity measures (López-Barroso et al, 2020), and between response times and the anatomy of brain structures relevant to categorization (Garcin, Urbanski, et al, 2018).…”

Section: Using Response Times As a Measure Of Individual Variability In Color Naming And Color Categorizationsupporting

confidence: 93%

“…easier discrimination of equidistant colors stemming from different categories, as opposed to same category colors (Witzel and Gegenfurtner, 2015). The right temporal component of the categorization network reported here is congruent with a recent finding that cortical thickness of the right anterior temporal lobe was modulated by individual differences in response times in a noncolor categorization task (Garcin, Urbanski, et al, 2018). Based on the above, we would like to propose that color categorization can be viewed in the framework of controlled semantic cognition (Lambon Ralph et al, 2017).…”

Section: Color Categorization Without Languagesupporting

confidence: 90%

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Color Naming and Categorization Depend on Distinct Functional Brain Networks

2020

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Naming a color can be understood as an act of categorization, that is, identifying it as a member of a category of colors that are referred to by the same name. But are naming and categorization equivalent cognitive processes and consequently rely on same neural substrates? Here, we used task and resting-state functional magnetic resonance imaging as well as behavioral measures to identify functional brain networks that modulated naming and categorization of colors. We first identified three bilateral color-sensitive regions in the ventro-occipital cortex. We then showed that, across participants, color naming and categorization response times (RTs) were correlated with different resting state connectivity networks seeded from the color-sensitive regions. Color naming RTs correlated with the connectivity between the left posterior color region, the left middle temporal gyrus, and the left angular gyrus. In contrast, color categorization RTs correlated with the connectivity between the bilateral posterior color regions, and left frontal, right temporal and bilateral parietal areas. The networks supporting naming and categorization had a minimal overlap, indicating that the 2 processes rely on different neural mechanisms.

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Section: Using Response Times As a Measure Of Individual Variability In Color Naming And Color Categorizationsupporting

confidence: 93%

Section: Color Categorization Without Languagesupporting

confidence: 90%

Color Naming and Categorization Depend on Distinct Functional Brain Networks

2020

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Section: Color Categorization Without Languagesupporting

confidence: 89%

Color naming and categorization depend on distinct functional brain networks

Siuda‐Krzywicka

Witzel

Cohen

2020

Preprint

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Naming a color can be understood as an act of categorization, i.e. identifying it as a member of category of colors that are referred to by the same name. But are naming and categorization equivalent cognitive processes, and consequently rely on same neural substrates? Here, we used task and resting-state fMRI, as well as behavioral measures to identify functional brain networks that modulated naming and categorization of colors. Color naming and categorization response times were modulated by different resting state connectivity networks spanning from the color-sensitive regions in the ventro-occipital cortex. Color naming correlated with the connectivity between the left posterior color region, the left medial temporal gyrus, and the left angular gyrus;whereas color categorization involved the connectivity between the bilateral posterior color regions, the left frontal, right temporal and bilateral parietal areas. The networks supporting naming and categorization did not overlap, suggesting that the two processes rely on different neural mechanisms.Significance: When we name a color, we also identify it as a member of a color category, e.g. blue or yellow. Are neural processes underlying color categorization equivalent to those of color naming?Here, we address this question by measuring how individual differences in color categorization and naming response times relate to the strength of functional connections in the brain. Color naming speed correlated with left-hemispheric connectivity between the color-sensitive visual regions and the anterior temporal lobe. Color categorization speed was modulated by a different brain network, encompassing bilateral color-sensitive visual areas, and high-level executive and semantic regions.Thus, color categorization and naming performance involved distinct, non-overlapping brain networks, suggesting that the two processes depend on different neural mechanisms.

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“…Verbal abstraction deficit as evaluated by categorization/similarities tasks is observed in bvFTD as opposed to AD, during the early stages of the disease (151, 152). These findings are in line with reported increased deficit in proverb interpretation in bvFTD compared to AD (153), although the semantic load of both tasks could also critically impact the performance due to polar temporal involvement (154). On the contrary, clock hand placement in the clock drawing test, hypothesized as involving the ability of abstracting the concept of time and its specific indication, have been shown to be altered preferentially in early AD as compared to bvFTD (155).…”

Section: Cognitive Dysfunctions In Bvftdsupporting

confidence: 89%

Psychological and Cognitive Markers of Behavioral Variant Frontotemporal Dementia–A Clinical Neuropsychologist's View on Diagnostic Criteria and Beyond

Johnen

Bertoux

2019

Front. Neurol.

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Behavioral variant frontotemporal dementia (bvFTD) is the second leading cognitive disorder caused by neurodegeneration in patients under 65 years of age. Characterized by frontal, insular, and/or temporal brain atrophy, patients present with heterogeneous constellations of behavioral and psychological symptoms among which progressive changes in social conduct, lack of empathy, apathy, disinhibited behaviors, and cognitive impairments are frequently observed. Since the histopathology of the disease is heterogeneous and identified genetic mutations only account for ~30% of cases, there are no reliable biomarkers for the diagnosis of bvFTD available in clinical routine as yet. Early detection of bvFTD thus relies on correct application of clinical diagnostic criteria. Their evaluation however, requires expertise and in-depth assessments of cognitive functions, history taking, clinical observations as well as caregiver reports on behavioral and psychological symptoms and their respective changes. With this review, we aim for a critical appraisal of common methods to access the behavioral and psychological symptoms as well as the cognitive alterations presented in the diagnostic criteria for bvFTD. We highlight both, practical difficulties as well as current controversies regarding an overlap of symptoms and particularly cognitive impairments with other neurodegenerative and primary psychiatric diseases. We then review more recent developments and evidence on cognitive, behavioral and psychological symptoms of bvFTD beyond the diagnostic criteria which may prospectively enhance the early detection and differential diagnosis in clinical routine. In particular, evidence on specific impairments in social and emotional processing, praxis abilities as well as interoceptive processing in bvFTD is summarized and potential links with behavior and classic cognitive domains are discussed. We finally outline both, future opportunities and major challenges with regard to the role of clinical neuropsychology in detecting bvFTD and related neurocognitive disorders.

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Anterior Temporal Lobe Morphometry Predicts Categorization Ability

Cited by 13 publications

References 98 publications

Color Naming and Categorization Depend on Distinct Functional Brain Networks

Color Naming and Categorization Depend on Distinct Functional Brain Networks

Color naming and categorization depend on distinct functional brain networks

Psychological and Cognitive Markers of Behavioral Variant Frontotemporal Dementia–A Clinical Neuropsychologist's View on Diagnostic Criteria and Beyond

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