Color Categorization Independent of Color Naming

Siuda‐Krzywicka, Katarzyna; Witzel, Christoph; Chabani, Emma; Taga, Myriam; Coste, Cécile; Cools, Noëlla; Ferrieux, Sophie; Cohen, Laurent D.; Malkinson, Tal Seidel; Bartolomeo, Paolo

doi:10.1016/j.celrep.2019.08.003

Cited by 31 publications

(42 citation statements)

References 75 publications

(105 reference statements)

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“…These left middle temporal clusters overlapped with the regions that were functionally disconnected from colorsensitive visual cortex in a patient with color anomia (see Fig. 3C and Siuda-Krzywicka, Witzel, et al, 2019). Accordingly, participants who were faster at naming colors had stronger functional connectivity between the left posterior seed and the anterior temporal clusters disconnected in this patient ( Analyses using an anatomically-defined Regions of Interest (ROI) confirmed the above voxelwise results ( Fig.…”

Section: Color Naming and Functional Connectivity Of The Left-hemisphsupporting

confidence: 71%

“…These converging results indicate that the communication between the left posterior color region and the left middle temporal gyrus is causally related to color naming abilities. We suggested that the left sided color-sensitive regions may act as a cortical naming hub linking color perception with color names (Siuda-Krzywicka and Bartolomeo, 2019; Siuda-Krzywicka, Witzel, et al, 2019). The current results allow us to narrow down this hypothesis to the posterior color region, which would serve as the color naming hub, and whose lesions would lead to color anomia.…”

Section: A Color Naming Hub ?mentioning

confidence: 61%

“…Response times in categorization tasks are modulated by categorical membership of colors: people are faster in categorizing and naming colors with clear category membership than colors that are more ambiguous (Bornstein and Monroe, 1980;Zimmer, 1982). In the present study, the category membership of colored stimuli was carefully controlled in an independent color naming experiment (see details in Siuda-Krzywicka, Witzel, et al, 2019). 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.…”

Section: Using Response Times As a Measure Of Individual Variability mentioning

confidence: 98%

“…We used standard preprocessing steps including: slice-time correction, realignment, segmentation of structural data, normalization into standard stereotactic MNI space and spatial smoothing using a Gaussian kernel of 6 mm FWHM. To account for the fMRI signal attenuation, after slice-time correction, realignment, motion-correction and normalization, functional scans were subjected to intensity-based masking (Peer et al, 2016; see also Siuda-Krzywicka, Witzel, et al, 2019). We then used the Artifact Detection Tool (ART; https://www.nitrc.org/projects/artifact_detect/) to identify scans exceeding 3 SD in mean global intensity, and scan-to-scan motion that exceeded 0.5 mm.…”

Section: Data Preprocessingmentioning

confidence: 99%

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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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Section: Color Naming and Functional Connectivity Of The Left-hemisphsupporting

confidence: 71%

Section: A Color Naming Hub ?mentioning

confidence: 61%

Section: Using Response Times As a Measure Of Individual Variability mentioning

confidence: 98%

Section: Data Preprocessingmentioning

confidence: 99%

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Color naming and categorization depend on distinct functional brain networks

Siuda‐Krzywicka

Witzel

Cohen

2020

Preprint

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“…We showed that RDS could categorize colors independently from his ability to name them. Color categorization may thus constitute a separate module of color processing rather than result from the interaction between color perception and language (Siuda-Krzywicka and others 2019b).…”

Section: Modules Of Cortical Color Processingmentioning

confidence: 99%

What Cognitive Neurology Teaches Us about Our Experience of Color

Siuda‐Krzywicka

Bartolomeo

2019

Neuroscientist

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Color provides valuable information about the environment, yet the exact mechanisms explaining how colors appear to us remain poorly understood. Retinal signals are processed in the visual cortex through high-level mechanisms that link color perception with top-down expectations and knowledge. Here, we review the neuroimaging evidence about color processing in the brain, and how it is affected by acquired brain lesions in humans. Evidence from patients with brain-damage suggests that high-level color processing may be divided into at least three modules: perceptual color experience, color naming, and color knowledge. These modules appear to be functionally independent but richly interconnected, and serve as cortical relays linking sensory and semantic information, with the final goal of directing object-related behavior. We argue that the relations between colors and their objects are key mechanisms to understand high-level color processing.

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The connectional anatomy of visual mental imagery: evidence from a patient with left occipito-temporal damage

et al. 2022

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Most of us can use our "mind's eye" to mentally visualize things that are not in our direct line of sight, an ability known as visual mental imagery. Extensive left temporal damage can impair patients' visual mental imagery experience, but the critical locus of lesion is unknown. Our recent meta-analysis of 27 fMRI studies of visual mental imagery highlighted a well-delimited region in the left lateral midfusiform gyrus, which was consistently activated during visual mental imagery, and which we called the Fusiform Imagery Node (FIN). Here we describe the connectional anatomy of FIN in neurotypical participants and in RDS, a right-handed patient with an extensive occipitotemporal stroke in the left hemisphere. The stroke provoked right homonymous hemianopia, alexia without agraphia, and color anomia. Despite these deficits, RDS had normal subjective experience of visual mental imagery and reasonably preserved behavioral performance on tests of visual mental imagery of object shape, object color, letters, faces, and spatial relationships. We found that the FIN was spared by the lesion. We then assessed the connectional anatomy of the FIN in the MNI space and in the patient's native space, by visualizing the fibers of the inferior longitudinal fasciculus (ILF) and of the arcuate fasciculus (AF) passing through the FIN. In both spaces, the ILF connected the FIN with the anterior temporal lobe, and the AF linked it with frontal regions. Our evidence is consistent with the hypothesis that the FIN is a node of a brain network dedicated to voluntary visual mental imagery. The FIN could act as a bridge between visual information and semantic knowledge processed in the anterior temporal lobe and in the language circuits.

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Color Categorization Independent of Color Naming

Cited by 31 publications

References 75 publications

Color naming and categorization depend on distinct functional brain networks

Color naming and categorization depend on distinct functional brain networks

What Cognitive Neurology Teaches Us about Our Experience of Color

The connectional anatomy of visual mental imagery: evidence from a patient with left occipito-temporal damage

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