scholarly journals Lateral Preoptic Area Neurons Signal Cocaine Self‐Administration Behaviors

Author(s):  
Kevin R. Coffey ◽  
Vaishnavi Venkat ◽  
Mark O. West ◽  
David J. Barker
2021 ◽  
Author(s):  
Kevin R Coffey ◽  
Vaishnavi Venkat ◽  
Mark West ◽  
David Barker

The lateral preoptic area is implicated in numerous aspects of substance use disorder. In particular, the lateral preoptic area is highly sensitive to the pharmacological properties of psychomotor stimulants, and its activity promotes drug-seeking in the face of punishment and reinstatement during abstinence. Despite the lateral preoptic areas complicity in substance use disorder, how precisely lateral preoptic area neurons encode the individual components of drug self-administration has not been ascertained. To bridge this gap, we examined how the firing of single lateral preoptic area neurons correlates with three discrete elements of cocaine self-administration: 1) drug-seeking (pre-response), 2) drug-taking (response), and 3) receipt of the cocaine infusion. A significant subset of lateral preoptic area neurons responded to each component with a mix of increases and decreases in firing-rate. A majority of these neurons encoded the operant response with increases in spiking, though responses during the drug-seeking, taking, and reciept windows were highly correlated.


Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Joachim Gerich ◽  
Roland Lehner

Although ego-centered network data provide information that is limited in various ways as compared with full network data, an ego-centered design can be used without the need for a priori and researcher-defined network borders. Moreover, ego-centered network data can be obtained with traditional survey methods. However, due to the dynamic structure of the questionnaires involved, a great effort is required on the part of either respondents (with self-administration) or interviewers (with face-to-face interviews). As an alternative, we will show the advantages of using CASI (computer-assisted self-administered interview) methods for the collection of ego-centered network data as applied in a study on the role of social networks in substance use among college students.


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