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In JoVE (1)
Other Publications (2)
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Articles by Benjamin Gallarda in JoVE
חוט השדרה Electrophysiology II: ייצור תאי אלקטרודה יניקה
Suresh Garudadri, Benjamin Gallarda, Samuel Pfaff, William Alaynick
Howard Hughes Medical Institute and Gene Expression Laboratory, The Salk Institute for Biological Studies
הפגנה של ייצור ושימוש אלקטרודה יניקה תאיים המשמשת למדידת אלקטרו הקלטות של מיתרי מכרסם השדרה בילוד
Other articles by Benjamin Gallarda on PubMed
Science (New York, N.Y.). Apr, 2008 | Pubmed ID: 18403711
Execution of motor behaviors relies on circuitries effectively integrating immediate sensory feedback to efferent pathways controlling muscle activity. It remains unclear how, during neuromuscular circuit assembly, sensory and motor projections become incorporated into tightly coordinated, yet functionally separate pathways. We report that, within axial nerves, establishment of discrete afferent and efferent pathways depends on coordinate signaling between coextending sensory and motor projections. These heterotypic axon-axon interactions require motor axonal EphA3/EphA4 receptor tyrosine kinases activated by cognate sensory axonal ephrin-A ligands. Genetic elimination of trans-axonal ephrin-A --> EphA signaling in mice triggers drastic motor-sensory miswiring, culminating in functional efferents within proximal afferent pathways. Effective assembly of a key circuit underlying motor behaviors thus critically depends on trans-axonal signaling interactions resolving motor and sensory projections into discrete pathways.
Annals of the New York Academy of Sciences. Jun, 2010 | Pubmed ID: 20536927
We review an objective and automated method for analyzing locomotor electrophysiology data with improved speed and accuracy. Manipulating central pattern generator (CPG) organization via mouse genetics has been a critical advance in the study of this circuit. Better quantitative measures of the locomotor data will further enhance our understanding of CPG development and function. Current analysis methods aim to measure locomotor cycle period, rhythmicity, and left-right and flexor-extensor phase; however, these methods have not been optimized to detect or quantify subtle changes in locomotor output. Because multiple experiments suggest that development of the CPG is robust and that the circuit is able to achieve organized behavior by several means, we sought to find a more objective and sensitive method for quantifying locomotor output. Recently, a continuous wavelet transform (CWT) has been applied to spinal cord ventral root recordings with promising results. The CWT provides greater resolution of cycle period, phase, and rhythmicity, and is proving to be a superior technique in assessing subtle changes in locomotion due to genetic perturbations of the underlying circuitry.