Accurate motor mapping in awake common marmosets using micro-electrocorticographical stimulation and stochastic threshold estimation
| Autor: | Alberto Ansaldo, Mitsuaki Takemi, Atsushi Iriki, Kenta Sato, Kazuhiko Seki, Banty Tia, Friedemann Awiszus, Davide Ricci, Junichi Ushiba, Akito Kosugi, Luciano Fadiga, Elisa Castagnola |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Male adaptive threshold hunting motor threshold Computer science Movement Biomedical Engineering Socio-culturale Stimulation 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine medicine Animals Threshold estimation Computer Simulation Wakefulness Motor skill Motor threshold Brain Mapping Stochastic Processes test-retest reliability Motor Cortex Callithrix motor representation Functional recovery cortical stimulation mapping ECoG 030104 developmental biology medicine.anatomical_structure Electrocorticography Forelimb Motor mapping Neuroscience Cortical stimulation mapping Microelectrodes 030217 neurology & neurosurgery |
| Popis: | Objective Motor map has been widely used as an indicator of motor skills and learning, cortical injury, plasticity, and functional recovery. Cortical stimulation mapping using epidural electrodes is recently adopted for animal studies. However, several technical limitations still remain. Test-retest reliability of epidural cortical stimulation (ECS) mapping has not been examined in detail. Many previous studies defined evoked movements and motor thresholds by visual inspection, and thus, lacked quantitative measurements. A reliable and quantitative motor map is important to elucidate the mechanisms of motor cortical reorganization. The objective of the current study was to perform reliable ECS mapping of motor representations based on the motor thresholds, which were stochastically estimated by motor evoked potentials and chronically implanted micro-electrocorticographical (µECoG) electrode arrays, in common marmosets. Approach ECS was applied using the implanted µECoG electrode arrays in three adult common marmosets under awake conditions. Motor evoked potentials were recorded through electromyographical electrodes implanted in upper limb muscles. The motor threshold was calculated through a modified maximum likelihood threshold-hunting algorithm fitted with the recorded data from marmosets. Further, a computer simulation confirmed reliability of the algorithm. Main results Computer simulation suggested that the modified maximum likelihood threshold-hunting algorithm enabled to estimate motor threshold with acceptable precision. In vivo ECS mapping showed high test-retest reliability with respect to the excitability and location of the cortical forelimb motor representations. Significance Using implanted µECoG electrode arrays and a modified motor threshold-hunting algorithm, we were able to achieve reliable motor mapping in common marmosets with the ECS system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|