Assessment of nose-poking responses in mice mediated by a neural stimulation system
DOI:
https://doi.org/10.54939/1859-1043.j.mst.114.2026.79-87Keywords:
Electrical stimulation; Neurons; Stimulation signals; Behavioral response.Abstract
In research, evaluating the behavioral response of animals by training certain behaviors is crucial for assessing the response of neurons to stimulation signals. For animal behavioral activities, there are many approaches to research and evaluation. Thus, the research process needs to understand the stimulation factors that contribute to the behavioral response. The research involves formulating algorithms as the basis for building tests to understand the characteristics of the research subject and for building boundary conditions of the problem. The study of central nervous system activity at molecular, subcellular, neuron or neural network levels is one of the key directions. However, in Vietnam, there is no specialized center to assess the physiological activities of the nervous system and the electrical stimulation and recording system of neurons, which is a new research direction nationally.
References
[1]. Tạ Quốc Giáp, Nguyễn Lê Chiến, Lê kỳ Biên, “Xây dựng mạch điện tử mô phỏng đáp ứng của tế bào thần kinh với xung điện một chiều”, Tạp chí nghiên cứu KH&CN Quân sự, số Đặc san FEE, 8-2018, 391-398, (2018). (in Vietnamese)
[2]. Baik JH, Picetti R, Saiardi A, Thiriet G, Dierich A, Depaulis A, Meur ML, Borrelli E, “Parkinsonian-like locomotor impairment in mice lacking dopamine D2 receptors”, Nature, vol. 377, no. 6548, pp. 424-428, (1995).
[3]. Bauer CT, Banks ML, Blough BE, and Negus SS, “Use of intracranial self-stimulation to evaluate abuse-related and abuse-limiting effects of monoamine releasers in rats”, Br. J. Pharmacol., vol. 168, no. 4, pp. 850-862, (2013).
[4]. Cameron C McIntyre and Warren M Grill, “Excitation of central nervous system neurons by nonuniform electric fields”, Biophysical Journal, vol. 76, (1999).
[5]. Coulombe D & Miliaressis E, “Fitting Intracranial self-stimulation data with growth models”, Behav. Neurosci., vol. 101, no. 2, pp. 209-214, (1987).
[6]. Fukuda M, Kobayashi T, Bures J, Ono T, “Rat exploratory behavior controlled by intracranial self-stimulation improves the study of place cell activity”, J Neurosci Methods, vol. 44, no. 2-3, pp. 121-131, (1992).
[7]. Negus SS, Miller LL, “Intracranial Self-Stimulation to Evaluate Abuse Potential of Drugs”, Pharmacol. Rev., vol. 66, no. 3, pp. 869–917, (2014).
[8]. Negus SS, Moerke MJ, “Determinants of opioid abuse potential: Insights using intracranial self-stimulation”, Peptides, vol. 112, pp. 23-31, (2018).
[9]. Sidman M, Brady JV, Boren JJ, Conrad DG, Schulman A, “Reward Schedules and Behavior Maintained by Intracranial Self-Stimulation”, Science, vol. 122, no. 3174, pp. 830-831, (2016).
[10]. Stalnaker TA, Liu TL, Takahashi YK, Schoenbaum G, “Orbitofrontal neurons signal reward predictions, not reward prediction errors”, Neurobiol. Learn. Mem., vol. 153, Pt B, pp. 137-143, (2018).
[11]. Tran AH, Tamura R, Uwano T, Kobayashi T, Katsuki M, et al., “Altered accumbens neural response to prediction of reward associated with place in dopamine D2 receptor knockout mice”, Proc. Natl. Acad. Sci. U S A, vol. 99, no. 13, pp. 8986-8991, (2002).
[12]. Wise RA, “Addictive drugs and brain stimulation reward”, Annu. Rev. Neurosci., vol. 19, pp. 319-340, (1996).
