Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/12035
Title: | Assessing neural activity related to decision-making through flexible odds ratio curves and their derivatives | Authors: | Roca-Pardinas, Javier Cadarso-Suarez, Carmen Pardo-Vazquez, Jose L. Leboran, Victor MOLENBERGHS, Geert FAES, Christel Acuna, Carlos |
Issue Date: | 2011 | Publisher: | WILEY-BLACKWELL | Source: | STATISTICS IN MEDICINE, 30 (14). p. 1695-1711 | Abstract: | It is well established that neural activity is stochastically modulated over time. Therefore, direct comparisons across experimental conditions and determination of change points or maximum firing rates are not straightforward. This study sought to compare temporal firing probability curves that may vary across groups defined by different experimental conditions. Odds-ratio (OR) curves were used as a measure of comparison, and the main goal was to provide a global test to detect significant differences of such curves through the study of their derivatives. An algorithm is proposed that enables ORs based on generalized additive models, including factor-by-curve-type interactions to be flexibly estimated. Bootstrap methods were used to draw inferences from the derivatives curves, and binning techniques were applied to speed up computation in the estimation and testing processes. A simulation study was conducted to assess the validity of these bootstrap-based tests. This methodology was applied to study premotor ventral cortex neural activity associated with decision-making. The proposed statistical procedures proved very useful in revealing the neural activity correlates of decision-making in a visual discrimination task. Copyright (C) 2011 John Wiley & Sons, Ltd. | Notes: | [Roca-Pardinas, Javier] Univ Vigo, Dept Stat & Operat Res, Vigo 36310, Pontevedra, Spain. [Cadarso-Suarez, Carmen] Univ Santiago de Compostela, Dept Stat & Operat Res, Biostat Unit, La Coruna, Spain. [Cadarso-Suarez, Carmen] Inst Invest Sanitaria Santiago IDIS, Santiago De Compostela, Spain. [Pardo-Vazquez, Jose L.; Leboran, Victor; Acuna, Carlos] Univ Santiago de Compostela, Dept Physiol & Complejo, Univ Hosp, Santiago De Compostela, Spain. [Molenberghs, Geert; Faes, Christel] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Diepenbeek, Belgium. [Molenberghs, Geert; Faes, Christel] Katholieke Univ Leuven, Louvain, Belgium. roca@uvigo.es | Keywords: | bootstrap; derivatives; electrophysiology; generalized additive models; interactions; kernel smoothing; neural activity;bootstrap; derivatives; electrophysiology; generalized additive models; interactions; kernel smoothing; neural activity | Document URI: | http://hdl.handle.net/1942/12035 | ISSN: | 0277-6715 | e-ISSN: | 1097-0258 | DOI: | 10.1002/sim.4220 | ISI #: | 000291598400005 | Rights: | © 2011 John Wiley & Sons, Ltd | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2012 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
faes 1.pdf Restricted Access | Published version | 343.03 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
3
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
3
checked on Apr 30, 2024
Page view(s)
70
checked on Sep 6, 2022
Download(s)
56
checked on Sep 6, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.