Document Detail

de Bruijn cycles for neural decoding.
MedLine Citation:
PMID:  21315160     Owner:  NLM     Status:  MEDLINE    
Stimulus counterbalance is critical for studies of neural habituation, bias, anticipation, and (more generally) the effect of stimulus history and context. We introduce de Bruijn cycles, a class of combinatorial objects, as the ideal source of pseudo-random stimulus sequences with arbitrary levels of counterbalance. Neuro-vascular imaging studies (such as BOLD fMRI) have an additional requirement imposed by the filtering and noise properties of the method: only some temporal frequencies of neural modulation are detectable. Extant methods of generating counterbalanced stimulus sequences yield neural modulations that are weakly (or not at all) detected by BOLD fMRI. We solve this limitation using a novel "path-guided" approach for the generation of de Bruijn cycles. The algorithm encodes a hypothesized neural modulation of specific temporal frequency within the seemingly random order of events. By positioning the modulation between the signal and noise bands of the neuro-vascular imaging method, the resulting sequence markedly improves detection power. These sequences may be used to study stimulus context and history effects in a manner not previously possible.
Geoffrey Karl Aguirre; Marcelo Gomes Mattar; Lucía Magis-Weinberg
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2011-02-24
Journal Detail:
Title:  NeuroImage     Volume:  56     ISSN:  1095-9572     ISO Abbreviation:  Neuroimage     Publication Date:  2011 Jun 
Date Detail:
Created Date:  2011-05-02     Completed Date:  2011-07-25     Revised Date:  2014-09-22    
Medline Journal Info:
Nlm Unique ID:  9215515     Medline TA:  Neuroimage     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1293-300     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
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MeSH Terms
Adaptation, Physiological / physiology
Blood Vessels / anatomy & histology
Brain / anatomy & histology*
Cerebrovascular Circulation / physiology*
Computer Simulation
Data Interpretation, Statistical
Image Processing, Computer-Assisted / methods
Magnetic Resonance Imaging / methods*,  statistics & numerical data
Models, Neurological
Models, Statistical
Oxygen / blood
Grant Support
5-R90-DA023424/DA/NIDA NIH HHS; R90 DA023424/DA/NIDA NIH HHS; R90 DA023424-05/DA/NIDA NIH HHS
Reg. No./Substance:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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