ORIGINAL RESEARCH article
Front. Neurosci.
Sec. Neural Technology
Volume 19 - 2025 | doi: 10.3389/fnins.2025.1602996
This article is part of the Research TopicAdvances in Technology and Engineering Tools for Neuroscience Research in Animal ModelsView all 3 articles
Investigating the Spatial Limits of Somatotopic and Depth-Dependent Sensory Discrimination Stimuli in Rats via Intracortical Microstimulation
Provisionally accepted- 1School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, Texas, United States
- 2Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, Texas, United States
- 3Department of Biomedical Engineering, School of Engineering, Case Western Reserve University, Cleveland, Ohio, United States
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The somatosensory cortex can be electrically stimulated via intracortical microelectrode arrays (MEAs) to induce a range of vibrotactile sensations. While previous studies have employed multishank 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 fourshank 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 fourshank 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 fourshank 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 singleshank 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.
Keywords: Intracortical microstimulation, sensory discrimination, rodent, Somatosensory Cortex, Behavior, microelectrode arrays
Received: 30 Mar 2025; Accepted: 29 Apr 2025.
Copyright: © 2025 Smith, Srinivasan, Jiang, Tahmasebi, Vargas, Villafranca, Tirumala Kumara, Ogundipe, Massaquoi, Chandna, Mehretab, Shipurkar, Cogan, Hernandez- Reynoso and Pancrazio. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Joseph J Pancrazio, Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, 75080, Texas, United States
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