Nondeclarative memory is a type of long-term memory that has been shown to support a variety of nonconscious cognitive skill learning tasks. Nondeclarative memory is generally observed as improvements in task performance without awareness of what was learned. Declarative memory, conscious memory for facts and events, is distinct from nondeclarative memory and is known to depend on the medial temporal lobe (MTL) memory system (including the hippocampus and adjacent cortical areas). Damage to the MTL due to acute injury or progressive disease (e.g., Alzheimer's disease) leads to impaired declarative memory but intact nondeclarative memory. For a number of nondeclarative memory tasks, it is not known what brain areas support learning or are involved in the expression of memory. The component cognitive processes that support nondeclarative memory are also poorly understood, particularly in the area of cognitive skill learning. The proposed program of research will use functional magnetic resonance imaging (MRI) to identify the neural substrates of three nondeclarative skill learning phenomena: category learning through prototype abstraction (Specific Aim 1), artificial grammar learning (Specific Aim 2) and perceptual-motor sequence learning (Specific Aim 3). In addition to identifying the brain areas that support memory in these tasks, stimulus-level contrasts will be used to identify the types of processing associated with successful task performance. Comparisons of patterns of evoked activity across the tasks are expected to identify processing differences between tasks that depend on cortically mediated facility-driven processing (e.g., dot-pattern categorization and priming) and tasks that depend on subcortical- cortical interactions (e.g., perceptual-motor sequence learning) which appear to operate through a retrieval mechanism (Specific Aim 4). In addition, declarative and nondeclarative memory will be directly compared across all three tasks to identify consistent differences in the expression of these memory types (Specific Aim 5). For each task, additional studies using transfer paradigms will examine brain activity associated with generalization of nondeclarative memory to novel stimuli, to test the hypothesis that cortical nondeclarative memory mechanisms support flexible use of memory while subcortical nondeclarative memory is relatively inflexible (Specific Aim 6). Overall, this program of research aims to build a more complete map of memory function throughout the brain while also identifying the component processes and operating characteristics of multiple types of nondeclarative memory.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH058748-04
Application #
6673313
Study Section
Special Emphasis Panel (ZRG1-BBBP-4 (01))
Program Officer
Anderson, Kathleen C
Project Start
2000-07-06
Project End
2005-06-30
Budget Start
2003-07-01
Budget End
2004-06-30
Support Year
4
Fiscal Year
2003
Total Cost
$179,336
Indirect Cost
Name
Northwestern University at Chicago
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
160079455
City
Evanston
State
IL
Country
United States
Zip Code
60201
Nomura, E M; Reber, P J (2008) A review of medial temporal lobe and caudate contributions to visual category learning. Neurosci Biobehav Rev 32:279-91
Nomura, E M; Maddox, W T; Filoteo, J V et al. (2007) Neural correlates of rule-based and information-integration visual category learning. Cereb Cortex 17:37-43
Reber, Paul J; Gitelman, Darren R; Parrish, Todd B et al. (2005) Priming effects in the fusiform gyrus: changes in neural activity beyond the second presentation. Cereb Cortex 15:787-95
Reber, Paul J; Gitelman, Darren R; Parrish, Todd B et al. (2003) Dissociating explicit and implicit category knowledge with fMRI. J Cogn Neurosci 15:574-83
Reber, Paul J; Wong, Eric C; Buxton, Richard B (2002) Comparing the brain areas supporting nondeclarative categorization and recognition memory. Brain Res Cogn Brain Res 14:245-57
Skosnik, P D; Mirza, F; Gitelman, D R et al. (2002) Neural correlates of artificial grammar learning. Neuroimage 17:1306-14
Reber, Paul J; Siwiec, Robert M; Gitelman, Darren R et al. (2002) Neural correlates of successful encoding identified using functional magnetic resonance imaging. J Neurosci 22:9541-8