Are visual texture-selective areas recruited during haptic texture discrimination?

Podrebarac, Samantha K.; Goodale, Melvyn A.; Snow, Jacqueline C.

doi:10.1016/j.neuroimage.2014.03.013

Cited by 35 publications

(31 citation statements)

References 64 publications

(59 reference statements)

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“…This is consistent with recent findings in humans indicating that the ventral visual cortex (ventral occipitotemporal cortex) represents information about non-visual object properties [4][5][6][7]. This or even lower visual areas are also responsive when humans are making haptic judgments about shapes [19,20] and textures [21][22][23][24]. These findings suggest that the ventral visual cortex of humans and nonhuman primates represents information about objects more supramodally than previously thought.…”

Section: Representation Of Non-visual Information In the Ventral Visusupporting

confidence: 92%

Crossmodal Association of Visual and Haptic Material Properties of Objects in the Monkey Ventral Visual Cortex

et al. 2016

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Just by looking at an object, we can recognize its non-visual properties, such as hardness. The visual recognition of non-visual object properties is generally accurate [1], and influences actions toward the object [2]. Recent studies suggest that, in the primate brain, this may involve the ventral visual cortex, which represents objects in a way that reflects not only visual but also non-visual object properties, such as haptic roughness, hardness, and weight [3-7]. This new insight raises a fundamental question: how does the visual cortex come to represent non-visual properties--knowledge that cannot be acquired directly through vision? Here we addressed this unresolved question using fMRI in macaque monkeys. Specifically, we explored whether and how simple visuo-haptic experience--just seeing and touching objects made of various materials--can shape representational content in the visual cortex. We measured brain activity evoked by viewing images of objects before and after the monkeys acquired the visuo-haptic experience and decoded the representational space from the activity patterns [8]. We show that simple long-term visuo-haptic experience greatly impacts representation in the posterior inferior temporal cortex, the higher ventral visual cortex. After the experience, but not before, the activity pattern in this region well reflected the haptic material properties of the experienced objects. Our results suggest that neural representation of non-visual object properties in the visual cortex emerges through long-term crossmodal exposure to objects. This highlights the importance of unsupervised learning of crossmodal associations through everyday experience [9-12] for shaping representation in the visual cortex.

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Section: Representation Of Non-visual Information In the Ventral Visusupporting

confidence: 92%

Crossmodal Association of Visual and Haptic Material Properties of Objects in the Monkey Ventral Visual Cortex

et al. 2016

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“…Together, these findings suggest that hMT+ functions as a modality-independent motion processor. Parts of early visual cortex and a focus in the lingual gyrus are texture-selective in both vision and touch (Stilla & Sathian, 2008; Sathian et al, 2011; Eck et al, 2013), although one group found that haptically and visually texture-selective regions in medial occipitotemporal cortex were adjacent but non-overlapping (Podrebarac et al, 2014). Further, the early visual regions are sensitive to the congruence of texture information across the visual and haptic modalities (Eck et al, 2013), and information about haptic texture flows from somatosensory regions into these early visual cortical areas (Sathian et al, 2011).…”

Section: Activation Of Visually Responsive Cortical Regions During Touchmentioning

confidence: 99%

Crossmodal and multisensory interactions between vision and touch

Lacey

Sathian

2015

Scholarpedia

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“…A macrogeometric feature refers to global properties of the object such as shape or size, whereas microgeometric properties refer to small, local surface deviations (Roland & Mortensen, 1987). However, the insula and the adjacent parietal operculum (PO) have been reported across multiple studies (Ledberg, O'Sullivan, Kinomura, & Roland, 1995;Stilla & Sathian, 2008;Roland et al, 1998; posterior collateral sulcus: Podrebarac et al, 2014). For example, the postcentral sulcus and the postcentral gyrus (PoCS: Peltier et al, 2007;Stilla & Sathian, 2008;PoCG: O'Sullivan et al, 1994), the intraparietal sulcus (IPS; Peltier et al, 2007;Podrebarac, Goodale, & Snow, 2014;Stilla & Sathian, 2008;Roland, O'Sullivan, & Kawashima, 1998), and the lateral occipital cortex (LOC; Peltier et al, 2007;Stilla & Sathian, 2008;Amedi, Malach, Hendler, Peled, & Zohary, 2001) showed stronger activation for the processing of shape than of texture.…”

Section: Introductionmentioning

confidence: 99%

“…Neuroimaging research suggests that the haptic processing of macrogeometric and microgeometric features is (at least partly) associated with different brain areas. For example, the postcentral sulcus and the postcentral gyrus (PoCS: Peltier et al, 2007;Stilla & Sathian, 2008;PoCG: O'Sullivan et al, 1994), the intraparietal sulcus (IPS; Peltier et al, 2007;Podrebarac, Goodale, & Snow, 2014;Stilla & Sathian, 2008;Roland, O'Sullivan, & Kawashima, 1998), and the lateral occipital cortex (LOC; Peltier et al, 2007;Stilla & Sathian, 2008;Amedi, Malach, Hendler, Peled, & Zohary, 2001) showed stronger activation for the processing of shape than of texture. The processing of texture as compared to shape revealed more mixed results.…”

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confidence: 99%

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Neural correlates of top‐down modulation of haptic shape versus roughness perception

Mueller

Haas

Metzger

et al. 2019

Human Brain Mapping

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Exploring an object's shape by touch also renders information about its surface roughness. It has been suggested that shape and roughness are processed distinctly in the brain, a result based on comparing brain activation when exploring objects that differed in one of these features. To investigate the neural mechanisms of top‐down control on haptic perception of shape and roughness, we presented the same multidimensional objects but varied the relevance of each feature. Specifically, participants explored two objects that varied in shape (oblongness of cuboids) and surface roughness. They either had to compare the shape or the roughness in an alternative‐forced‐choice‐task. Moreover, we examined whether the activation strength of the identified brain regions as measured by functional magnetic resonance imaging (fMRI) can predict the behavioral performance in the haptic discrimination task. We observed a widespread network of activation for shape and roughness perception comprising bilateral precentral and postcentral gyrus, cerebellum, and insula. Task‐relevance of the object's shape increased activation in the right supramarginal gyrus (SMG/BA 40) and the right precentral gyrus (PreCG/BA 44) suggesting that activation in these areas does not merely reflect stimulus‐driven processes, such as exploring shape, but also entails top‐down controlled processes driven by task‐relevance. Moreover, the strength of the SMG/PreCG activation predicted individual performance in the shape but not in the roughness discrimination task. No activation was found for the reversed contrast (roughness > shape). We conclude that macrogeometric properties, such as shape, can be modulated by top‐down mechanisms whereas roughness, a microgeometric feature, seems to be processed automatically.

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Are visual texture-selective areas recruited during haptic texture discrimination?

Cited by 35 publications

References 64 publications

Crossmodal Association of Visual and Haptic Material Properties of Objects in the Monkey Ventral Visual Cortex

Crossmodal Association of Visual and Haptic Material Properties of Objects in the Monkey Ventral Visual Cortex

Crossmodal and multisensory interactions between vision and touch

Neural correlates of top‐down modulation of haptic shape versus roughness perception

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