Investigating the spatial limits of somatotopic and depth-dependent sensory discrimination stimuli in rats via intracortical microstimulation
The somatosensory cortex can be electrically stimulated via intracortical microelectrode arrays (MEAs) to induce a range of vibrotactile sensations. While previous studies have employed multi-shank MEA configurations to map somatotopic relationships, the influence of cortical depth on sensory discri...
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| Published in | Frontiers in neuroscience Vol. 19; p. 1602996 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media S.A
14.05.2025
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| Online Access | Get full text |
| ISSN | 1662-453X 1662-4548 1662-453X |
| DOI | 10.3389/fnins.2025.1602996 |
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| Abstract | The somatosensory cortex can be electrically stimulated via intracortical microelectrode arrays (MEAs) to induce a range of vibrotactile sensations. While previous studies have employed multi-shank MEA configurations to map somatotopic relationships, the influence of cortical depth on sensory discrimination remains relatively unexplored. In this study, we introduce a novel approach for investigating the spatial limits of stimulation-evoked sensory discrimination based on cortical depth and somatotopic relationships in rodents. To achieve this, we implanted single-shank and four-shank 16-channel MEAs into the primary somatosensory cortex of male rats. Then, we defined distinct stimulation patterns for comparison, each consisting of four simultaneously stimulated electrode sites separated along the length of the single-shank device or between shanks for the four-shank device. Next, we utilized a nose-poking, two-choice sensory discrimination task to evaluate each rat’s ability to accurately differentiate between these patterns. We demonstrate that the rats were able to reliably discriminate between the most superficial (450–750 μm) and deepest (1650–1950 μm) single-shank patterns with 90% accuracy, whereas discrimination between the most superficial and next adjacent pattern (650–950 μm) significantly dropped to 53% ( p < 0.05). Similarly, in the four-shank group, discrimination accuracy was 88% for the furthest pattern pairs (375 μm difference) but significantly fell to 62% ( p < 0.05) for the closest pairs (125 μm difference). Overall, the single-shank subjects could robustly differentiate between stimuli separated by 800 μm along a cortical column whereas, the multi-shank animals could robustly differentiate between stimuli delivered from shanks separated by 250 μm. Results showed that when spatial distances between stimuli patterns were decreased, the rats had reduced discriminable accuracy, suggesting greater difficulty when differentiating closely positioned stimuli. To better understand the single-shank results, we also utilized computational modeling to compare our in-vivo results against neuronal activation volumes presented in a biophysically realistic model of the somatosensory cortex. These simulations displayed overlapping volumes of activated neurons via antidromic propagation of axons for the closest pattern pair, potentially influencing discriminable limits. This work, which offers insight into how the physical separation of stimulating microelectrode sites maps to discernable percepts, informs the design considerations for future intracortical microstimulation arrays. |
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| AbstractList | The somatosensory cortex can be electrically stimulated via intracortical microelectrode arrays (MEAs) to induce a range of vibrotactile sensations. While previous studies have employed multi-shank MEA configurations to map somatotopic relationships, the influence of cortical depth on sensory discrimination remains relatively unexplored. In this study, we introduce a novel approach for investigating the spatial limits of stimulation-evoked sensory discrimination based on cortical depth and somatotopic relationships in rodents. To achieve this, we implanted single-shank and four-shank 16-channel MEAs into the primary somatosensory cortex of male rats. Then, we defined distinct stimulation patterns for comparison, each consisting of four simultaneously stimulated electrode sites separated along the length of the single-shank device or between shanks for the four-shank device. Next, we utilized a nose-poking, two-choice sensory discrimination task to evaluate each rat's ability to accurately differentiate between these patterns. We demonstrate that the rats were able to reliably discriminate between the most superficial (450-750 μm) and deepest (1650-1950 μm) single-shank patterns with 90% accuracy, whereas discrimination between the most superficial and next adjacent pattern (650-950 μm) significantly dropped to 53% (
< 0.05). Similarly, in the four-shank group, discrimination accuracy was 88% for the furthest pattern pairs (375 μm difference) but significantly fell to 62% (
< 0.05) for the closest pairs (125 μm difference). Overall, the single-shank subjects could robustly differentiate between stimuli separated by 800 μm along a cortical column whereas, the multi-shank animals could robustly differentiate between stimuli delivered from shanks separated by 250 μm. Results showed that when spatial distances between stimuli patterns were decreased, the rats had reduced discriminable accuracy, suggesting greater difficulty when differentiating closely positioned stimuli. To better understand the single-shank results, we also utilized computational modeling to compare our in-vivo results against neuronal activation volumes presented in a biophysically realistic model of the somatosensory cortex. These simulations displayed overlapping volumes of activated neurons via antidromic propagation of axons for the closest pattern pair, potentially influencing discriminable limits. This work, which offers insight into how the physical separation of stimulating microelectrode sites maps to discernable percepts, informs the design considerations for future intracortical microstimulation arrays. The somatosensory cortex can be electrically stimulated via intracortical microelectrode arrays (MEAs) to induce a range of vibrotactile sensations. While previous studies have employed multi-shank MEA configurations to map somatotopic relationships, the influence of cortical depth on sensory discrimination remains relatively unexplored. In this study, we introduce a novel approach for investigating the spatial limits of stimulation-evoked sensory discrimination based on cortical depth and somatotopic relationships in rodents. To achieve this, we implanted single-shank and four-shank 16-channel MEAs into the primary somatosensory cortex of male rats. Then, we defined distinct stimulation patterns for comparison, each consisting of four simultaneously stimulated electrode sites separated along the length of the single-shank device or between shanks for the four-shank device. Next, we utilized a nose-poking, two-choice sensory discrimination task to evaluate each rat’s ability to accurately differentiate between these patterns. We demonstrate that the rats were able to reliably discriminate between the most superficial (450–750 μm) and deepest (1650–1950 μm) single-shank patterns with 90% accuracy, whereas discrimination between the most superficial and next adjacent pattern (650–950 μm) significantly dropped to 53% (p < 0.05). Similarly, in the four-shank group, discrimination accuracy was 88% for the furthest pattern pairs (375 μm difference) but significantly fell to 62% (p < 0.05) for the closest pairs (125 μm difference). Overall, the single-shank subjects could robustly differentiate between stimuli separated by 800 μm along a cortical column whereas, the multi-shank animals could robustly differentiate between stimuli delivered from shanks separated by 250 μm. Results showed that when spatial distances between stimuli patterns were decreased, the rats had reduced discriminable accuracy, suggesting greater difficulty when differentiating closely positioned stimuli. To better understand the single-shank results, we also utilized computational modeling to compare our in-vivo results against neuronal activation volumes presented in a biophysically realistic model of the somatosensory cortex. These simulations displayed overlapping volumes of activated neurons via antidromic propagation of axons for the closest pattern pair, potentially influencing discriminable limits. This work, which offers insight into how the physical separation of stimulating microelectrode sites maps to discernable percepts, informs the design considerations for future intracortical microstimulation arrays. The somatosensory cortex can be electrically stimulated via intracortical microelectrode arrays (MEAs) to induce a range of vibrotactile sensations. While previous studies have employed multi-shank MEA configurations to map somatotopic relationships, the influence of cortical depth on sensory discrimination remains relatively unexplored. In this study, we introduce a novel approach for investigating the spatial limits of stimulation-evoked sensory discrimination based on cortical depth and somatotopic relationships in rodents. To achieve this, we implanted single-shank and four-shank 16-channel MEAs into the primary somatosensory cortex of male rats. Then, we defined distinct stimulation patterns for comparison, each consisting of four simultaneously stimulated electrode sites separated along the length of the single-shank device or between shanks for the four-shank device. Next, we utilized a nose-poking, two-choice sensory discrimination task to evaluate each rat's ability to accurately differentiate between these patterns. We demonstrate that the rats were able to reliably discriminate between the most superficial (450-750 μm) and deepest (1650-1950 μm) single-shank patterns with 90% accuracy, whereas discrimination between the most superficial and next adjacent pattern (650-950 μm) significantly dropped to 53% (p < 0.05). Similarly, in the four-shank group, discrimination accuracy was 88% for the furthest pattern pairs (375 μm difference) but significantly fell to 62% (p < 0.05) for the closest pairs (125 μm difference). Overall, the single-shank subjects could robustly differentiate between stimuli separated by 800 μm along a cortical column whereas, the multi-shank animals could robustly differentiate between stimuli delivered from shanks separated by 250 μm. Results showed that when spatial distances between stimuli patterns were decreased, the rats had reduced discriminable accuracy, suggesting greater difficulty when differentiating closely positioned stimuli. To better understand the single-shank results, we also utilized computational modeling to compare our in-vivo results against neuronal activation volumes presented in a biophysically realistic model of the somatosensory cortex. These simulations displayed overlapping volumes of activated neurons via antidromic propagation of axons for the closest pattern pair, potentially influencing discriminable limits. This work, which offers insight into how the physical separation of stimulating microelectrode sites maps to discernable percepts, informs the design considerations for future intracortical microstimulation arrays.The somatosensory cortex can be electrically stimulated via intracortical microelectrode arrays (MEAs) to induce a range of vibrotactile sensations. While previous studies have employed multi-shank MEA configurations to map somatotopic relationships, the influence of cortical depth on sensory discrimination remains relatively unexplored. In this study, we introduce a novel approach for investigating the spatial limits of stimulation-evoked sensory discrimination based on cortical depth and somatotopic relationships in rodents. To achieve this, we implanted single-shank and four-shank 16-channel MEAs into the primary somatosensory cortex of male rats. Then, we defined distinct stimulation patterns for comparison, each consisting of four simultaneously stimulated electrode sites separated along the length of the single-shank device or between shanks for the four-shank device. Next, we utilized a nose-poking, two-choice sensory discrimination task to evaluate each rat's ability to accurately differentiate between these patterns. We demonstrate that the rats were able to reliably discriminate between the most superficial (450-750 μm) and deepest (1650-1950 μm) single-shank patterns with 90% accuracy, whereas discrimination between the most superficial and next adjacent pattern (650-950 μm) significantly dropped to 53% (p < 0.05). Similarly, in the four-shank group, discrimination accuracy was 88% for the furthest pattern pairs (375 μm difference) but significantly fell to 62% (p < 0.05) for the closest pairs (125 μm difference). Overall, the single-shank subjects could robustly differentiate between stimuli separated by 800 μm along a cortical column whereas, the multi-shank animals could robustly differentiate between stimuli delivered from shanks separated by 250 μm. Results showed that when spatial distances between stimuli patterns were decreased, the rats had reduced discriminable accuracy, suggesting greater difficulty when differentiating closely positioned stimuli. To better understand the single-shank results, we also utilized computational modeling to compare our in-vivo results against neuronal activation volumes presented in a biophysically realistic model of the somatosensory cortex. These simulations displayed overlapping volumes of activated neurons via antidromic propagation of axons for the closest pattern pair, potentially influencing discriminable limits. This work, which offers insight into how the physical separation of stimulating microelectrode sites maps to discernable percepts, informs the design considerations for future intracortical microstimulation arrays. |
| Author | Hernandez-Reynoso, Ana G. Srinivasan, Hari Haghighi, Pegah Tirumala Kumara, Shreya Shipurkar, Riya Tahmasebi, Ghazaal Cogan, Stuart F. Smith, Thomas J. Ogundipe, Ashlynn Massaquoi, Ajaree Pancrazio, Joseph J. Mehretab, Yovia Vargas, Sophia Jiang, Madison Chandna, Shreya Villafranca, Luisa R. |
| AuthorAffiliation | 2 Department of Bioengineering, The University of Texas at Dallas , Richardson, TX , United States 1 School of Behavioral and Brain Sciences, The University of Texas at Dallas , Richardson, TX , United States 5 Department of Biomedical Engineering, Case Western Reserve University , Cleveland, OH , United States 3 Department of Biology, The University of Texas at Dallas , Richardson, TX , United States 4 Department of Healthcare Studies, The University of Texas at Dallas , Richardson, TX , United States |
| AuthorAffiliation_xml | – name: 2 Department of Bioengineering, The University of Texas at Dallas , Richardson, TX , United States – name: 4 Department of Healthcare Studies, The University of Texas at Dallas , Richardson, TX , United States – name: 3 Department of Biology, The University of Texas at Dallas , Richardson, TX , United States – name: 1 School of Behavioral and Brain Sciences, The University of Texas at Dallas , Richardson, TX , United States – name: 5 Department of Biomedical Engineering, Case Western Reserve University , Cleveland, OH , United States |
| Author_xml | – sequence: 1 givenname: Thomas J. surname: Smith fullname: Smith, Thomas J. – sequence: 2 givenname: Hari surname: Srinivasan fullname: Srinivasan, Hari – sequence: 3 givenname: Madison surname: Jiang fullname: Jiang, Madison – sequence: 4 givenname: Ghazaal surname: Tahmasebi fullname: Tahmasebi, Ghazaal – sequence: 5 givenname: Sophia surname: Vargas fullname: Vargas, Sophia – sequence: 6 givenname: Luisa R. surname: Villafranca fullname: Villafranca, Luisa R. – sequence: 7 givenname: Shreya surname: Tirumala Kumara fullname: Tirumala Kumara, Shreya – sequence: 8 givenname: Ashlynn surname: Ogundipe fullname: Ogundipe, Ashlynn – sequence: 9 givenname: Ajaree surname: Massaquoi fullname: Massaquoi, Ajaree – sequence: 10 givenname: Shreya surname: Chandna fullname: Chandna, Shreya – sequence: 11 givenname: Yovia surname: Mehretab fullname: Mehretab, Yovia – sequence: 12 givenname: Riya surname: Shipurkar fullname: Shipurkar, Riya – sequence: 13 givenname: Pegah surname: Haghighi fullname: Haghighi, Pegah – sequence: 14 givenname: Stuart F. surname: Cogan fullname: Cogan, Stuart F. – sequence: 15 givenname: Ana G. surname: Hernandez-Reynoso fullname: Hernandez-Reynoso, Ana G. – sequence: 16 givenname: Joseph J. surname: Pancrazio fullname: Pancrazio, Joseph J. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40438624$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1093/brain/120.4.701 10.1113/jphysiol.1975.sp010902 10.3389/fnsys.2015.00047 10.3389/fnins.2023.1202258 10.1073/pnas.1509265112 10.3389/fnana.2017.00091 10.3389/fneng.2014.00002 10.1038/s41598-024-69666-z 10.1016/j.celrep.2023.112554 10.1088/1741-2560/12/5/056010 10.1126/science.adq5978 10.3390/mi9090430 10.3389/fnins.2022.876142 10.21769/BioProtoc.5098 10.1016/j.actbio.2025.02.030 10.1126/scitranslmed.aaf8083 10.1016/j.brs.2021.11.015 10.3389/fnins.2022.908858 10.1038/s41551-024-01299-z 10.1088/1741-2552/ad593e 10.1115/MSEC2021-63952 10.1088/1741-2552/abedde 10.1523/ENEURO.0500-23.2024 10.1101/2024.03.08.24303392 10.3390/mi16020113 10.7554/eLife.65128 10.7554/eLife.32904 10.1101/2025.03.21.644593 10.1088/1741-2552/ac18ad 10.1006/nimg.1999.0440 10.1016/j.biomaterials.2024.122543 10.3389/fbioe.2021.759711 |
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| Copyright | Copyright © 2025 Smith, Srinivasan, Jiang, Tahmasebi, Vargas, Villafranca, Tirumala Kumara, Ogundipe, Massaquoi, Chandna, Mehretab, Shipurkar, Haghighi, Cogan, Hernandez-Reynoso and Pancrazio. Copyright © 2025 Smith, Srinivasan, Jiang, Tahmasebi, Vargas, Villafranca, Tirumala Kumara, Ogundipe, Massaquoi, Chandna, Mehretab, Shipurkar, Haghighi, Cogan, Hernandez-Reynoso and Pancrazio. 2025 Smith, Srinivasan, Jiang, Tahmasebi, Vargas, Villafranca, Tirumala Kumara, Ogundipe, Massaquoi, Chandna, Mehretab, Shipurkar, Haghighi, Cogan, Hernandez-Reynoso and Pancrazio |
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| Keywords | sensory discrimination intracortical microstimulation somatosensory cortex behavior microelectrode arrays rodent |
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| SubjectTerms | behavior intracortical microstimulation microelectrode arrays Neuroscience rodent sensory discrimination somatosensory cortex |
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| Title | Investigating the spatial limits of somatotopic and depth-dependent sensory discrimination stimuli in rats via intracortical microstimulation |
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