skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Time will tell: A longitudinal data-driven investigation of brain-behavior relationships during reading development.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1395812
Report Number(s):
SAND2016-9539C
647711
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Society for Psychophysiological Research Annual Meeting held September 21-25, 2016 in Minneapolis, MN.
Country of Publication:
United States
Language:
English

Citation Formats

Stites, Mallory Catherine. Time will tell: A longitudinal data-driven investigation of brain-behavior relationships during reading development.. United States: N. p., 2016. Web.
Stites, Mallory Catherine. Time will tell: A longitudinal data-driven investigation of brain-behavior relationships during reading development.. United States.
Stites, Mallory Catherine. Thu . "Time will tell: A longitudinal data-driven investigation of brain-behavior relationships during reading development.". United States. doi:. https://www.osti.gov/servlets/purl/1395812.
@article{osti_1395812,
title = {Time will tell: A longitudinal data-driven investigation of brain-behavior relationships during reading development.},
author = {Stites, Mallory Catherine},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Sep 01 00:00:00 EDT 2016},
month = {Thu Sep 01 00:00:00 EDT 2016}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • ERPs are a powerful tool for the study of reading, as they are both temporally precise and functionally specific. These are essential characteristics for studying a process that unfolds rapidly and consists of multiple, interactive subprocesses. In work with adults, clear, specific models exist linking components of the ERP with individual subprocesses of reading including orthographic decoding, phonological processing, and semantic access (e.g., Grainger & Holcomb, 2009). The relationships between ERP components and reading subprocesses are less clear in development; here, we address two questions regarding these relationships. First, we ask whether there are ERP markers that predict future readingmore » behaviors across a longitudinal year. Second, we ask whether any relationships observed between ERP components and reading behavior across time map onto the better-established relationships between ERPs and reading subprocesses in adults. To address these questions, we acquired ERPs from children engaging in a silent reading task and then, a year later, collected behavioral assessments of their reading ability. Finally, we find that ERPs collected in Year 1 do predict reading behaviors a year later. Further, we find that these relationships do conform, at least to some extent, to relationships between ERP components and reading subprocesses observed in adults, with, for example, N250 amplitude in Year 1 predicting phonological awareness in Year 2, and N400 amplitude in Year 1 predicting vocabulary in Year 2.« less
  • By implementing a microprocessor-based CAMAC module capable of being programmed to function as a time plot or a timed reading controller, the capabilities of the experimental area serial CAMAC control and data acquisition system at Fermilab have been extensively increased. These modules provide real-time data gathering and pre-processing functions synchronized to the main accelerator cycle clock while adding only a minimal amount to the host computer's CPU time and memory requirements. Critical data requiring a fast system response can be read by the host computer immediately following the request for this data. The vast majority of data, being non-critical, canmore » be read via a block transfer during a non-busy time in the main accelerator cycle. Each of Fermilab's experimental areas, Meson, Neutrino and Proton, are controlled primarily by a Lockheed MAC-16 computer. Each of these three minicomputers is linked to a larger Digital Equipment Corporation PDP-11/50 computer. The PDP-11 computers are used primarily for data analysis and reduction. Presently two PDP-11's are linked to the three MAC-16 computers.« less
  • EAS muon production and propagation through the atmosphere were simulated. For each muon at the observation level its incidence angles and the arrival time were determined. It is shown that for large distances from EAS cores and for GeV-muons, time and track measurements could be complementary to improve the accuracy of the muon production height determination.
  • Male Sprague-Dawley rats maintained under controlled environmental conditions were used. Acetylcholinesterase (AChE) activity was determined in the cerebral cortex, midbrain, hypothalamus, hippocampus, cerebellum, pons and medulla oblongata of saline control and ethanol-treated rats, either after a single dose at 06:0 or 18:00h, or after a second dose administered 24 hrs later at the same time scheduled. Results of this experiment indicate that repeated administration with ethanol was associated with the rapid development of tolerance to the hypothermic action of ethanol. A single injection of ethanol at 0600h resulted in a significant decrease in AChE activity in the hypothalamus, medulla, cerebellum,more » hippocampus and the cortex. However, ethanol administration at 18.00h was associated with significant increases in AChE activity in the same brain regions. The repeated administration of ethanol at 06.00h was associated with tolerance in AChE response to ethanol in the hypothalamus and hippocampus. However, there was no tolerance development in AChE activity in brain regions when ethanol was administered at 18.00h. The results indicate that chronotolerance to ethanol might be related to the brain cholinergic system.« less