Neural correlates of texture perception during active touch

Henderson, John R.; Mari, Tyler; Hopkinson, Andrew; Byrne, Aoife; Hewitt, Danielle; Newton‐Fenner, Alice; Giesbrecht, Timo; Marshall, Alan; Stančák, Andrej; Fallon, Nicholas

doi:10.1016/j.bbr.2022.113908

Cited by 9 publications

(11 citation statements)

References 80 publications

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“…Alpha‐band ERD was stronger in contralateral sensorimotor regions during exploration of rough hessian compared with smooth silk, consistent with previous findings (Henderson et al, 2022). Rough textures likely increase the firing rate of Merkel cells and Meissner corpuscles, which may produce greater alpha‐band ERD (Cascio & Sathian, 2001; Gamzu & Ahissar, 2001; Johansson & Vallbo, 1979; Vallbo et al, 1995).…”

Section: Discussionsupporting

confidence: 92%

“…We hypothesised that active texture exploration would elicit bilateral alpha-and beta-band ERD over sensorimotor regions. Specifically, we predicted increased beta-band ERD for smooth when compared with rough textures, whereas alpha-band ERD was hypothesised to increase for rough compared with smooth textures, following our previous research (Henderson et al, 2022). Further, we hypothesised that estimation tasks would result in increased sensorimotor and frontal ERD in alpha-and beta-band, relative to no-estimation conditions.…”

Section: Introductionmentioning

confidence: 84%

“…The stimuli included two textures selected from a previous study (Henderson et al, 2022): hessian and silk (Figure 1). The stimuli measured 150 Â 255 mm and were mounted using double-sided tape (tesa ® 64621) to a paper sample mount measuring 410 Â 255 mm lined with masking tape (tesa ® Precision Mask ® 4333).…”

Section: Stimulimentioning

confidence: 99%

“…During tactile stimulation, subjective judgements of texture alter the blood‐oxygen‐level‐dependent signal, whereby greater prefrontal cortex activation was observed during tasks requiring estimation of surface properties, relative to conditions that included touch stimulation, but without estimation tasks (Kitada et al, 2005). In electroencephalography (EEG) literature, estimation tasks have been employed to quantify subjective judgements of surface texture (Ballesteros et al, 2009; Henderson et al, 2022), though ratings are typically collected separately from stimulation tasks. Therefore, it is unknown how subjective judgments modulate the electrophysiological correlates of texture processing.…”

Section: Introductionmentioning

confidence: 99%

“…Investigation of texture processing has revealed bilateral activation across sensorimotor areas, with an increase in cortical activation for smoother textures during passive touch (Genna et al, 2018; Moungou et al, 2016). On the other hand, active touch was found to elicit increased alpha‐band ERD for rough textures and increased beta‐band ERD for smooth textures (Henderson et al, 2022). Therefore, time–frequency analysis of induced cortical oscillations is an appropriate analysis method for active touch and is shown to elucidate bilateral sensorimotor activation associated with texture processing.…”

Section: Introductionmentioning

confidence: 99%

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Tactile estimation of hedonic and sensory properties during active touch: An electroencephalography study

Henderson

Mari

Hewitt

et al. 2023

Eur J of Neuroscience

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Perceptual judgements about our physical environment are informed by somatosensory information. In real‐world exploration, this often involves dynamic hand movements to contact surfaces, termed active touch. The current study investigated cortical oscillatory changes during active exploration to inform the estimation of surface properties and hedonic preferences of two textured stimuli: smooth silk and rough hessian. A purpose‐built touch sensor quantified active touch, and oscillatory brain activity was recorded from 129‐channel electroencephalography. By fusing these data streams at a single trial level, oscillatory changes within the brain were examined while controlling for objective touch parameters (i.e., friction). Time–frequency analysis was used to quantify changes in cortical oscillatory activity in alpha (8–12 Hz) and beta (16–24 Hz) frequency bands. Results reproduce findings from our lab, whereby active exploration of rough textures increased alpha‐band event‐related desynchronisation in contralateral sensorimotor areas. Hedonic processing of less preferred textures resulted in an increase in temporoparietal beta‐band and frontal alpha‐band event‐related desynchronisation relative to most preferred textures, suggesting that higher order brain regions are involved in the hedonic processing of texture. Overall, the current study provides novel insight into the neural mechanisms underlying texture perception during active touch and how this process is influenced by cognitive tasks.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 84%

Section: Stimulimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Tactile estimation of hedonic and sensory properties during active touch: An electroencephalography study

Henderson

Mari

Hewitt

et al. 2023

Eur J of Neuroscience

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The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies

Henderson,

Mari,

Hewitt

et al. 2023

Brain and Behavior

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IntroductionHumans use discriminative touch to perceive texture through dynamic interactions with surfaces, activating low‐threshold mechanoreceptors in the skin. It was largely assumed that texture was processed in primary somatosensory regions in the brain; however, imaging studies indicate heterogeneous patterns of brain activity associated with texture processing.MethodsTo address this, we conducted a coordinate‐based activation likelihood estimation meta‐analysis of 13 functional magnetic resonance imaging studies (comprising 15 experiments contributing 228 participants and 275 foci) selected by a systematic review.ResultsConcordant activations for texture perception occurred in the left primary somatosensory and motor regions, with bilateral activations in the secondary somatosensory, posterior insula, and premotor and supplementary motor cortices. We also evaluated differences between studies that compared touch processing to non‐haptic control (e.g., rest or visual control) or those that used haptic control (e.g., shape or orientation perception) to specifically investigate texture encoding. Studies employing a haptic control revealed concordance for texture processing only in the left secondary somatosensory cortex. Contrast analyses demonstrated greater concordance of activations in the left primary somatosensory regions and inferior parietal cortex for studies with a non‐haptic control, compared to experiments accounting for other haptic aspects.ConclusionThese findings suggest that texture processing may recruit higher order integrative structures, and the secondary somatosensory cortex may play a key role in encoding textural properties. The present study provides unique insight into the neural correlates of texture‐related processing by assessing the influence of non‐textural haptic elements and identifies opportunities for a future research design to understand the neural processing of texture.

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Psychophysics of Texture Perception

Makame,

Nolden

2023

Food Texturology: Measurement and Perception of Food Textural Properties

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Neural correlates of texture perception during active touch

Cited by 9 publications

References 80 publications

Tactile estimation of hedonic and sensory properties during active touch: An electroencephalography study

Tactile estimation of hedonic and sensory properties during active touch: An electroencephalography study

The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies

Psychophysics of Texture Perception

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