The acquisition of language is essential for normal functioning, and problems with language acquisition can severely limit an individual's educational, career, and social opportunities. One mechanism thought to play a critical role in language acquisition is statistical learning, which refers to the process of extracting subtle patterns from environmental input. Although it is commonly assumed that statistical learning operates implicitly, without requiring conscious effort or awareness, this fundamental assumption has not been directly tested. It is possible that inducing statistical learning to occur explicitly rather than implicitly may engage additional explicit memory systems and may also facilitate sleep-dependent consolidation processes that are critical for long-term retention. The goal of the proposed research is to assess whether and how learning mode alters the memory systems and sleep-dependent consolidation processes that support statistical learning. In the first proposed study, the effect of learning mode on the memory systems recruited for statistical learning will be evaluated, using a combination of behavioral and functional magnetic resonance imaging (fMRI) analyses. In the second proposed study, the effect of learning mode on sleep-dependent consolidation of statistical representations will be assessed, using a combination of behavioral and electroencephalography (EEG) analyses. Because patients often show dissociations of implicit and explicit memory, understanding how learning mode may modulate the memory systems and subsequent sleep-dependent consolidation processes that underlie statistical learning could have tremendous potential to inform treatments for language disorders. For example, by manipulating learning mode, therapies may be developed to selectively target one memory system in order to compensate for dysfunctions in the other, or to promote sleep-dependent consolidation. The proposed fellowship training will provide instruction in two main methodological areas: (1) sleep neurobiology and (2) fMRI analyses. Training in these two different areas will be integrated by the common goal of understanding how learning mode alters the memory systems and consolidation processes that support statistical learning.

Public Health Relevance

Difficulties with language acquisition are characteristic of a wide range of disorders, such as specific language impairment and autism, and present a major barrier to normal functioning. Statistical learning, the process of extracting complex patterns from the environment, is thought to play a critical role in language acquisition, with deficits in statistical learning potentially contributing to language-related disorders. The current proposal aims to understand how learning mode influences the memory and consolidation processes that underlie statistical learning and may ultimately inform treatments for those with language-related disorders.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32HD078223-02
Application #
8979446
Study Section
Special Emphasis Panel (ZRG1-F01-F (20))
Program Officer
Freund, Lisa S
Project Start
2014-07-09
Project End
2016-07-08
Budget Start
2015-07-09
Budget End
2016-07-08
Support Year
2
Fiscal Year
2015
Total Cost
$54,194
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
Batterink, Laura J (2017) Rapid Statistical Learning Supporting Word Extraction From Continuous Speech. Psychol Sci 28:921-928
Batterink, Laura J; Paller, Ken A (2017) Sleep-based memory processing facilitates grammatical generalization: Evidence from targeted memory reactivation. Brain Lang 167:83-93
Batterink, Laura J; Paller, Ken A (2017) Online neural monitoring of statistical learning. Cortex 90:31-45
Batterink, Laura J; Westerberg, Carmen E; Paller, Ken A (2017) Vocabulary learning benefits from REM after slow-wave sleep. Neurobiol Learn Mem 144:102-113
Batterink, Laura J; Cheng, Larry Y; Paller, Ken A (2016) Neural Measures Reveal Implicit Learning during Language Processing. J Cogn Neurosci 28:1636-49
Batterink, Laura J; Creery, Jessica D; Paller, Ken A (2016) Phase of Spontaneous Slow Oscillations during Sleep Influences Memory-Related Processing of Auditory Cues. J Neurosci 36:1401-9
Batterink, Laura J; Reber, Paul J; Paller, Ken A (2015) Functional differences between statistical learning with and without explicit training. Learn Mem 22:544-56
Batterink, Laura J; Reber, Paul J; Neville, Helen J et al. (2015) Implicit and explicit contributions to statistical learning. J Mem Lang 83:62-78
Batterink, Laura J; Oudiette, Delphine; Reber, Paul J et al. (2014) Sleep facilitates learning a new linguistic rule. Neuropsychologia 65:169-79