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Volume
18: No. 7, July 2004 Animal models have been key to our understanding of the psychological and physiological underpinnings of many disease states (see Carroll & Overmier, 2001). For example, in the field of learning and memory animals models have been instrumental in shaping our understanding of how the normal and damaged brain processes information. Animal research has taught us that there are multiple memory systems that interact: competitively, cooperatively or in parallel-depending on the cognitive demands and psychological nature of the task (see Gold 2002; Kim & Baxter, 2001; White & McDonald, 2002). My colleagues and I, using a rodent model of Wernicke-Korsakoff Syndrome (WKS),
have asked questions about the changes in psychological and neural processes
that occur after specific brain damage. WKS is a nutritional disorder in humans
associated with chronic alcoholism that, if left untreated, can cause severe
amnesia. The pyrithiamine-induced thiamine deficiency (PTD) model successfully
mimics both the neuroanatomical damage and behavioral impairments observed in
WKS. However, while WKS is a somewhat heterogeneous disorder, patients vary
in the degree and location of neuropathology (Knopelman, 1995). The behavioral
symptoms of WKS were critical in establishing the theory of multiple memory
systems. It is evident that not all memory functions are impaired by WKS or
temporal lobe damage and animal models of these disorders were essential in
determining the brain regions that caused certain types of memory impairment
(see Squire, 1992). The PTD model has consistently demonstrated that damage
to the thalamus (specifically the anterior and midline thalamus), a subcortical
structure, is central to the loss of learning and memory function that occurs
following thiamine deficiency (see Savage et al 1997; 1998, 1999). Thus, this
model, as well as many others, has allowed us to ask and answer pertinent questions
regarding changes in function and recover of function that occur under specific
neurological disease states. The use of animal models provides us with an unique opportunities to access neural function (i.e., neurotransmitter release) in one brain region after damage to another while the animal is cognitively challenged. Recently, we have used in-vivo microdialysis to observe the interactions between the hippocampus and the diencephalon using the PTD model while the animals are solving a maze task (Savage, Chang & Gold, 2003). This study demonstrated that the behavioral impairment produced by diencephalic damage (i.e., PTD-treatment) is accompanied by decreased release of acetylcholine (ACh) efflux in the hippocampus that is only evident under certain environmental conditions: PTD-treated rats display a reduction in hippocampal ACh efflux when they are navigating a maze and cognitively processing spatial information. In contrast, when PTD-treated rats are in a home cage (not cognitively challenged) they have normal hippocampal ACh levels. This study demonstrated the importance of the nature of the behavioral activity when assessing neurological dysfunction. Psychological challenges drive brain activation and understanding brain activity under different behavioral states will be critical for the development of therapeutics. The goal of this research and some of our present research is to gain insight into what interconnected brain structures become down-regulated and which ones compensate after brain damage. Understanding the individual and interactive role of brain structures is critical for understanding normal memory function and for treating disorders of memory. Presently, we understand very little about the underlying psychological and neurobiological mechanisms associated with behavioral change and recovery of function after brain damage; however, the continued use of animal models will be key to our gaining further knowledge about such dynamics. Behavioral Plasticity However, if each to-be-remembered item (i.e., spatial location) in the task is correlated with a unique reward outcome, PTD rats will perform as well as control rats, displaying no learning impairment at all (Savage & Langlais, 1995). Based on the results of Savage & Langlais (1995) a similar procedure was tested in humans. This study that demonstrated that correlating to-be-remembered faces with unique rewards (the DOP) enhances memory performance in WKS patients (Hochhalter, Sweeney, Savage, Bakke, & Overmier, 2001). This functional difference (spared vs. impaired learning/memory performance) produced by manipulating reinforcement contingencies maps onto other multiple memory system approaches. One of the most widely used theoretical perspectives of the dual memory system approach is that of the explicit and implicit memory systems (Squire, 1992). We have applied this perspective to our data produced using the DOP as described below: Explicit memory is the term used to describe the system that processes the intentional recall and recognition of people, places, things and events. A number of amnestic and demented populations (i.e., temporal lobe and diencephalic amnestics, Alzheimer's patients) are impaired on tasks that activate this memory system. Implicit memory, on the other hand, refers to the process of unintentional learning--one does not have to consciously attend to what one is learning. Classical conditioning and priming are examples of implicit memory processes. Many populations that display explicit memory impairment have normal implicit memory processing We propose that the system tapped when the DOP (unique rewards correlated with to-be remembered events) is used with a task is the implicit memory system. This implicit memory system is functionally and structurally different from the explicit memory system that is used to solve memory problems when unique rewards are not used ([the NOP]; see Savage, 2001; Savage, Pitkin & Carieri, 1999; Savage, Buzzetti & Ramirez, in press). The explicit memory system is primarily activated when a common reinforcement procedure or the NOP is used within a matching-to-sample paradigm. Under these circumstances (no unique reward information), the subject must rely on its memory of what the sample stimulus was to solve the task successfully. Relative to those data, we hypothesize that the DOP produces reward expectancies—and the reliance on these reward-related processes activates a memory system that differs from the system commonly used to solve conditional discrimination tasks. Our recent data and those of others suggest the amygdala is important for solving a discrimination task when the DOP is used (Blundell, Hall, & Killcross, 2001) whereas the hippocampus is critical when it is not used (Savage et al, in press). In summary, changing the type of cognitive information an animal can use to
solve a task, by manipulating task variables, can recruit different brain regions—demonstrating
behavioral and neural plasticity. Using such strategies, brain-damaged subjects
can solve complex tasks in new ways without impairment. Understanding this type
of behavioral plasticity is important for understanding recovery of function
in general. Thus, animal models are critical in understanding cognitive dysfunctions
and how brain structures interact in new ways after damage. Carroll, M.E. & Overmier, J.B. (2001). Animal research and human health: Advancing human welfare through behavioral science. Washington, DC, US: American Psychological Association. Gold, P.E. (2002). Memory modulation: Regulating interactions between multiple memory systems. In: Squire, L.R. (Ed); Schacter, D.L. (Ed). Neuropsychology of memory (3rd ed.) (pp. 450-462). New York, NY, US: Guilford Press. Hochhalter, A.K. *, Sweeney, W.A. *, Savage, L.M., Bakke, B.L., & Overmier, J.B. (2001). Using animal models to address the memory deficits of Wernicke-Korsakoff syndrome. In Carroll, M.E., & Overmier, J.B, (Eds). Animal research and human health: Advancing human welfare through behavioral science. (pp. 281-292). Washington, DC, US, American Psychological Association. Kim, J.J. & Baxter, M.G. (2001). Multiple brain-memory systems: the whole does not equal the sum of its parts. Trends in Neurosciences, 24, 324-30. Kopelman, M.D. (1995 ). The Korsakoff syndrome. British Journal of Psychiatry,
166, 154-73. Savage, L.M. (2001). In search of the neurobiological correlates of the differential outcomes effect. Integrative Physiological and Behavioral Science, 36, 182-195. Savage, L., Buzzetti, R., & Ramirez, D. (in press). The effects of hippocampal lesions on learning, memory and reward expectancies. Neurobiology of Learning and Memory. Savage, L.M., Castillo, R. & Langlais, P.J. (1998). Effects of thalamic intralaminar nuclei and internal meduallary lamina on spatial memory and object discrimination. Behavioral Neuroscience, 112, 1339-1352. Savage, L.M., Chang, Q., & Gold, P.E. (2003). Diencephalic damage decreases hippocampal acetylcholine release during spontaneous alternation testing. Learning and Memory, 10, 242-246. Savage, L.M. & Langlais, P.J. (1995). Differential outcomes attenuate memory impairments on matching-to-position following pyrithiamine-induced thiamine deficiency in rats. Psychobiology, 23, 153-160. Savage, L.M., Pitkin, S.R., & Careri, J.M. (1999). Memory enhancement in aged rats: The differential outcomes effect. Developmental Psychobiology, 35, 318-327. Savage, L.M., Pitkin, S. & Knitowski. (1999). Rats exposed to pyrithiamine- induced thiamine deficiency are more sensitive to the amnestic effects of scopolamine and MK-801: Examination of working memory, response selection, and reinforcement contingencies. Behavioural Brain Research, 104, 13-26. Savage, L.M., Sweet, A.J., Castilo, R. & Langlais, P.J. (1997). The Role of Internal Medullary Lamina Nuclei and Posterior Thalamic Nuclei in Learning, Memory, and Habituation in the Rat. Behavioural Brain Research, 82, 133-147. Squire, L.R. (1992). Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans. Psychological Review, 99, 195-231. White, N.M. & McDonald, R.J. (2002). Multiple parallel memory systems in
the brain of the rat. Neurobiology of Learning & Memory, 77, 125-184. Return to Psychological Science Agenda Homepage |
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