“…For the rhythmic scratching activity, spinal interneural components, such as commissural interneurons, coordinate the muscle activity (Jankowska ) and can be regulated by cerebral cortex, for example, for muscle force production (Lopez Ruiz et al. ). FDL and MG motoneurons exhibited during the cyclic period firing frequency ranged from 30 to 350 Hz.…”
Section: Discussionmentioning
confidence: 99%
“…It was made by brain cortex and suprathalamic structure ablation, as well as some thalamic nuclei (Lopez Ruiz et al. ).…”
Section: Methodsmentioning
confidence: 99%
“…The brain cortex ablation was performed under ketamine (20 mg/kg) and brevital (20-40 mg/kg). It was made by brain cortex and suprathalamic structure ablation, as well as some thalamic nuclei (Lopez Ruiz et al 2017).…”
Section: General Proceduresmentioning
confidence: 99%
“…They may also contribute to increase force generation during locomotion by muscle catch property. However, the force generation in hind limb muscles is reduced in BCAC during locomotion (Lopez Ruiz et al 2017). An increase of synaptic input in these motoneurons, in the BCAC preparation, could be the cause of doublets or a suppression of slow after hyperpolarization, as observed in turtle spinal neurons during scratching-like activity (Alaburda et al 2005).…”
Section: Sol Heteronymous Monosynaptic Reflex Regulation By Motoneuromentioning
In brain cortex‐ablated cats (BCAC), hind limb motoneurons activity patterns were studied during fictive locomotion (FL) or fictive scratching (FS) induced by pinna stimulation. In order to study motoneurons excitability: heteronymous monosynaptic reflex (HeMR), intracellular recording, and individual Ia afferent fiber antidromic activity (AA) were analyzed. The intraspinal cord microinjections of serotonin or glutamic acid effects were made to study their influence in FL or FS. During FS, HeMR amplitude in extensor and bifunctional motoneurons increased prior to or during the respective electroneurogram (ENG). In soleus (SOL) motoneurons were reduced during the scratch cycle (SC). AA in medial gastrocnemius (MG) Ia afferent individual fibers of L6‐L7 dorsal roots did not occur during FS. Flexor digitorum longus (FDL) and MG motoneurons fired with doublets during the FS bursting activity, motoneuron membrane potential from some posterior biceps (PB) motoneurons exhibits a depolarization in relation to the PB (ENG). It changed to a locomotor drive potential in relation to one of the double ENG, PB bursts. In FDL and semitendinosus (ST) motoneurons, the membrane potential was depolarized during FS, but it did not change during FL. Glutamic acid injected in the L3‐L4 spinal cord segment favored the transition from FS to FL. During FL, glutamic acid produces a duration increase of extensors ENGs. Serotonin increases the ENG amplitude in extensor motoneurons, as well as the duration of scratching episodes. It did not change the SC duration. Segregation and motoneurons excitability could be regulated by the rhythmic generator and the pattern generator of the central pattern generator.
“…For the rhythmic scratching activity, spinal interneural components, such as commissural interneurons, coordinate the muscle activity (Jankowska ) and can be regulated by cerebral cortex, for example, for muscle force production (Lopez Ruiz et al. ). FDL and MG motoneurons exhibited during the cyclic period firing frequency ranged from 30 to 350 Hz.…”
Section: Discussionmentioning
confidence: 99%
“…It was made by brain cortex and suprathalamic structure ablation, as well as some thalamic nuclei (Lopez Ruiz et al. ).…”
Section: Methodsmentioning
confidence: 99%
“…The brain cortex ablation was performed under ketamine (20 mg/kg) and brevital (20-40 mg/kg). It was made by brain cortex and suprathalamic structure ablation, as well as some thalamic nuclei (Lopez Ruiz et al 2017).…”
Section: General Proceduresmentioning
confidence: 99%
“…They may also contribute to increase force generation during locomotion by muscle catch property. However, the force generation in hind limb muscles is reduced in BCAC during locomotion (Lopez Ruiz et al 2017). An increase of synaptic input in these motoneurons, in the BCAC preparation, could be the cause of doublets or a suppression of slow after hyperpolarization, as observed in turtle spinal neurons during scratching-like activity (Alaburda et al 2005).…”
Section: Sol Heteronymous Monosynaptic Reflex Regulation By Motoneuromentioning
In brain cortex‐ablated cats (BCAC), hind limb motoneurons activity patterns were studied during fictive locomotion (FL) or fictive scratching (FS) induced by pinna stimulation. In order to study motoneurons excitability: heteronymous monosynaptic reflex (HeMR), intracellular recording, and individual Ia afferent fiber antidromic activity (AA) were analyzed. The intraspinal cord microinjections of serotonin or glutamic acid effects were made to study their influence in FL or FS. During FS, HeMR amplitude in extensor and bifunctional motoneurons increased prior to or during the respective electroneurogram (ENG). In soleus (SOL) motoneurons were reduced during the scratch cycle (SC). AA in medial gastrocnemius (MG) Ia afferent individual fibers of L6‐L7 dorsal roots did not occur during FS. Flexor digitorum longus (FDL) and MG motoneurons fired with doublets during the FS bursting activity, motoneuron membrane potential from some posterior biceps (PB) motoneurons exhibits a depolarization in relation to the PB (ENG). It changed to a locomotor drive potential in relation to one of the double ENG, PB bursts. In FDL and semitendinosus (ST) motoneurons, the membrane potential was depolarized during FS, but it did not change during FL. Glutamic acid injected in the L3‐L4 spinal cord segment favored the transition from FS to FL. During FL, glutamic acid produces a duration increase of extensors ENGs. Serotonin increases the ENG amplitude in extensor motoneurons, as well as the duration of scratching episodes. It did not change the SC duration. Segregation and motoneurons excitability could be regulated by the rhythmic generator and the pattern generator of the central pattern generator.
“…In bioscience, it is so widely used that it is challenging to keep track of all the species that have been studied in this way. Some examples include oikopleura (Kreneisz and Glover, 2015), tadpole (Bacqué-Cazenave et al, 2018), zebrafish (Barreiros et al, 2021), rodents (Bachmann et al, 2013), chicken (Bari et al, 2021), cats (López Ruiz et al, 2017), pigs (Boakye et al, 2020) and non-human primates (Fitzsimmons et al, 2009). In neuroscience, biomedicine, and sports science, this method is typically used to compare kinematic quantities across different conditions.…”
Tracking followed by analysis of specific point-of-interest from conventional or high-speed video recordings have been widely used for decades in various scientific disciplines such as sport, physiotherapy, and behavioral science. Another method used to characterize movement in 3D involves the use of motion capture systems, which produce files containing a collection of 3D-coordinates and corresponding timestamps. When studying animal or human movement, combining motion tracking with other recording methods–like monitoring muscle activity or sensor signals–can yield valuable insights. However, manual analysis of data from these diverse sources can be time-consuming and prone to errors. To address this issue, this article introduces a new, free, and open-source software developed in MATLAB. This software can be used as-is, or developed further to meet specific requirements. Once the coordinates are imported, multiple tools can be used for data preprocessing, such as to correct mistakes that may have occurred during tracking because of software errors or suboptimal video quality. In addition, the software can import coordinates from multiple cameras and combine them into a unified data series. With these inputs, the software can automatically calculate kinematic parameters and descriptive statistics, generate 2D and 3D animations, and analyze gait cycles, enabling swift and accurate analysis of multidimensional motion data. Moreover, the software can import electrophysiology traces and sensor signals, which can be filtered, rectified, smoothed, and correlated with the kinematic data in various ways. Thanks to its user-friendly graphical user interface, the software is easy to navigate and can be used to analyze complex movements without any need for coding skills. This versatile tool is well-suited for a wide range of experimental contexts, making it a valuable resource for researchers across diverse scientific disciplines.
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