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Behavioral Neuroscience

Dr. Eckard earned his B.A. from the University of North Carolina Wilmington and his M.S. and Ph.D. from West Virginia University. He then conducted postdoctoral research at the University of Rochester before joining °ÄÃÅÀÏÆæÈËÂÛ̳ in 2022. His research uses animal models to understand how cannabinoid abuse affects cognitive and emotional processes with a focus on finding treatments for cannabis dependence. Dr. Eckard teaches graduate and undergraduate courses in learning principles, psychopharmacology, and research methods. He currently serves as Coordinator for the Experimental Psychology Program.

Selected Publications or Presentations

Eckard, M.L. & Kinsey, S.G. Differential disruption of response alternation by precipitated Δ9-THC withdrawal and subsequent Δ9-THC abstinence in mice. (2024). Pharmacology, Biochemistry, & Behavior, 236, 173718.

Eckard, M.L., Welle, K., Sobolewski, M., Cory-Slechta, D.A. (2023) A behavioral timing intervention  upregulates striatal serotonergic markers and reduces impulsive action in adult male mice. Behavioural Brain Research, 440, 114267.

Eckard, M.L., Marvin, E., Conrad, K., Oberdörster, G., Sobolewski, M., & Cory-Slechta, D.A. (2023). Neonatal exposure to ultrafine iron but not combined iron and sulfur aerosols recapitulates air pollution-induced impulsivity in mice. NeuroToxicology, 94, 191-205.

Eckard, M. L., & Kinsey, S. G. (2021). Gabapentin attenuates somatic signs of precipitated Δ9-THC withdrawal in mice. Neuropharmacology. 190, 108554.

Eckard, M. L., Trexler, K. R., Kotson, B., Anderson, K. G., & Kinsey, S. G. (2020). Precipitated Δ9-THC withdrawal reduces motivation for sucrose reinforcement in mice. Pharmacology, Biochemistry, & Behavior. 195, 172966.

Trexler, K. R., Eckard, M. L., & Kinsey, S. G. (2019). CB1 positive allosteric modulation attenuates Δ9-THC withdrawal and NSAID-induced gastric inflammation. Pharmacology, Biochemistry, and Behavior, 177, (27-33).

Courses taught in the Psychology Department

  • PSYC 774 – Psychopharmacology
  • PSYC 333 – Principles of Learning
  • PSYC 302 – Research Methods
  • PSYC 301 – Analysis of Psychological Data