The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies
Abstract Introduction Humans 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 indic...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-11-01
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| Series: | Brain and Behavior |
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| Online Access: | https://doi.org/10.1002/brb3.3264 |
| _version_ | 1797632591757574144 |
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| author | Jessica Henderson Tyler Mari Danielle Hewitt Alice Newton‐Fenner Timo Giesbrecht Alan Marshall Andrej Stancak Nicholas Fallon |
| author_facet | Jessica Henderson Tyler Mari Danielle Hewitt Alice Newton‐Fenner Timo Giesbrecht Alan Marshall Andrej Stancak Nicholas Fallon |
| author_sort | Jessica Henderson |
| collection | DOAJ |
| description | Abstract Introduction Humans 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. Methods To 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. Results Concordant 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. Conclusion These 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. |
| first_indexed | 2024-03-11T11:40:02Z |
| format | Article |
| id | doaj.art-e35710e34f644db4be60f8c6f8fd32b0 |
| institution | Directory Open Access Journal |
| issn | 2162-3279 |
| language | English |
| last_indexed | 2024-03-11T11:40:02Z |
| publishDate | 2023-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Brain and Behavior |
| spelling | doaj.art-e35710e34f644db4be60f8c6f8fd32b02023-11-10T06:53:59ZengWileyBrain and Behavior2162-32792023-11-011311n/an/a10.1002/brb3.3264The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studiesJessica Henderson0Tyler Mari1Danielle Hewitt2Alice Newton‐Fenner3Timo Giesbrecht4Alan Marshall5Andrej Stancak6Nicholas Fallon7School of Psychology University of Liverpool Liverpool UKSchool of Psychology University of Liverpool Liverpool UKSchool of Psychology University of Liverpool Liverpool UKSchool of Psychology University of Liverpool Liverpool UKUnilever, Research and Development Port Sunlight UKDepartment of Electrical Engineering and Electronics University of Liverpool Liverpool UKSchool of Psychology University of Liverpool Liverpool UKSchool of Psychology University of Liverpool Liverpool UKAbstract Introduction Humans 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. Methods To 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. Results Concordant 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. Conclusion These 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.https://doi.org/10.1002/brb3.3264activation likelihood estimation meta‐analysisdiscriminative touchfunctional magnetic resonance imagingsystematic review |
| spellingShingle | Jessica Henderson Tyler Mari Danielle Hewitt Alice Newton‐Fenner Timo Giesbrecht Alan Marshall Andrej Stancak Nicholas Fallon The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies Brain and Behavior activation likelihood estimation meta‐analysis discriminative touch functional magnetic resonance imaging systematic review |
| title | The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies |
| title_full | The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies |
| title_fullStr | The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies |
| title_full_unstemmed | The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies |
| title_short | The neural correlates of texture perception: A systematic review and activation likelihood estimation meta‐analysis of functional magnetic resonance imaging studies |
| title_sort | neural correlates of texture perception a systematic review and activation likelihood estimation meta analysis of functional magnetic resonance imaging studies |
| topic | activation likelihood estimation meta‐analysis discriminative touch functional magnetic resonance imaging systematic review |
| url | https://doi.org/10.1002/brb3.3264 |
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