Academic Journal
Linear Integration of Tactile and Non-tactile Inputs Mediates Estimation of Fingertip Relative Position.
| Τίτλος: | Linear Integration of Tactile and Non-tactile Inputs Mediates Estimation of Fingertip Relative Position. |
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| Συγγραφείς: | Toma, Simone, Shibata, Daisuke, Chinello, Francesco, Prattichizzo, Domenico, Santello, Marco |
| Πηγή: | Frontiers in Neuroscience; 2/11/2019, pN.PAG-N.PAG, 12p |
| Θεματικοί όροι: | Joints (Anatomy), Muscles, Sensorimotor cortex, Fingers, Hand |
| Περίληψη: | While skin, joints and muscles receptors alone provide lower level information about individual variables (e.g., exerted limb force and limb displacement), the distance between limb endpoints (i.e., relative position) has to be extracted from high level integration of somatosensory and motor signals. In particular, estimation of fingertip relative position likely involves more complex sensorimotor transformations than those underlying hand or arm position sense: the brain has to estimate where each fingertip is relative to the hand and where fingertips are relative to each other. It has been demonstrated that during grasping, feedback of digit position drives rapid adjustments of fingers force control. However, it has been shown that estimation of fingertips' relative position can be biased by digit forces. These findings raise the question of how the brain combines concurrent tactile (i.e., cutaneous mechanoreceptors afferents induced by skin pressure and stretch) and non-tactile (i.e., both descending motor command and joint/muscle receptors signals associated to muscle contraction) digit force-related inputs for fingertip distance estimation. Here we addressed this question by quantifying the contribution of tactile and non-tactile force-related inputs for the estimation of fingertip relative position. We asked subjects to match fingertip vertical distance relying only on either tactile or non-tactile inputs from the thumb and index fingertip, and compared their performance with the condition where both types of inputs were combined. We found that (a) the bias in the estimation of fingertip distance persisted when tactile inputs and non-tactile force-related signals were presented in isolation; (b) tactile signals contributed the most to the estimation of fingertip distance; (c) linear summation of the matching errors relying only on either tactile or non-tactile inputs was comparable to the matching error when both inputs were simultaneously available. These findings reveal a greater role of tactile signals for sensing fingertip distance and suggest a linear integration mechanism with non-tactile inputs for the estimation of fingertip relative position. [ABSTRACT FROM AUTHOR] |
| Copyright of Frontiers in Neuroscience is the property of Frontiers Media S.A. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Linear Integration of Tactile and Non-tactile Inputs Mediates Estimation of Fingertip Relative Position. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Toma%2C+Simone%22">Toma, Simone</searchLink><br /><searchLink fieldCode="AR" term="%22Shibata%2C+Daisuke%22">Shibata, Daisuke</searchLink><br /><searchLink fieldCode="AR" term="%22Chinello%2C+Francesco%22">Chinello, Francesco</searchLink><br /><searchLink fieldCode="AR" term="%22Prattichizzo%2C+Domenico%22">Prattichizzo, Domenico</searchLink><br /><searchLink fieldCode="AR" term="%22Santello%2C+Marco%22">Santello, Marco</searchLink> – Name: TitleSource Label: Source Group: Src Data: Frontiers in Neuroscience; 2/11/2019, pN.PAG-N.PAG, 12p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Joints+%28Anatomy%29%22">Joints (Anatomy)</searchLink><br /><searchLink fieldCode="DE" term="%22Muscles%22">Muscles</searchLink><br /><searchLink fieldCode="DE" term="%22Sensorimotor+cortex%22">Sensorimotor cortex</searchLink><br /><searchLink fieldCode="DE" term="%22Fingers%22">Fingers</searchLink><br /><searchLink fieldCode="DE" term="%22Hand%22">Hand</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: While skin, joints and muscles receptors alone provide lower level information about individual variables (e.g., exerted limb force and limb displacement), the distance between limb endpoints (i.e., relative position) has to be extracted from high level integration of somatosensory and motor signals. In particular, estimation of fingertip relative position likely involves more complex sensorimotor transformations than those underlying hand or arm position sense: the brain has to estimate where each fingertip is relative to the hand and where fingertips are relative to each other. It has been demonstrated that during grasping, feedback of digit position drives rapid adjustments of fingers force control. However, it has been shown that estimation of fingertips' relative position can be biased by digit forces. These findings raise the question of how the brain combines concurrent tactile (i.e., cutaneous mechanoreceptors afferents induced by skin pressure and stretch) and non-tactile (i.e., both descending motor command and joint/muscle receptors signals associated to muscle contraction) digit force-related inputs for fingertip distance estimation. Here we addressed this question by quantifying the contribution of tactile and non-tactile force-related inputs for the estimation of fingertip relative position. We asked subjects to match fingertip vertical distance relying only on either tactile or non-tactile inputs from the thumb and index fingertip, and compared their performance with the condition where both types of inputs were combined. We found that (a) the bias in the estimation of fingertip distance persisted when tactile inputs and non-tactile force-related signals were presented in isolation; (b) tactile signals contributed the most to the estimation of fingertip distance; (c) linear summation of the matching errors relying only on either tactile or non-tactile inputs was comparable to the matching error when both inputs were simultaneously available. These findings reveal a greater role of tactile signals for sensing fingertip distance and suggest a linear integration mechanism with non-tactile inputs for the estimation of fingertip relative position. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Frontiers in Neuroscience is the property of Frontiers Media S.A. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fnins.2019.00068 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: N.PAG Subjects: – SubjectFull: Joints (Anatomy) Type: general – SubjectFull: Muscles Type: general – SubjectFull: Sensorimotor cortex Type: general – SubjectFull: Fingers Type: general – SubjectFull: Hand Type: general Titles: – TitleFull: Linear Integration of Tactile and Non-tactile Inputs Mediates Estimation of Fingertip Relative Position. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Toma, Simone – PersonEntity: Name: NameFull: Shibata, Daisuke – PersonEntity: Name: NameFull: Chinello, Francesco – PersonEntity: Name: NameFull: Prattichizzo, Domenico – PersonEntity: Name: NameFull: Santello, Marco IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 02 Text: 2/11/2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 16624548 Titles: – TitleFull: Frontiers in Neuroscience Type: main |
| ResultId | 1 |