eprintid: 1431205
rev_number: 25
eprint_status: archive
userid: 608
dir: disk0/01/43/12/05
datestamp: 2014-06-02 19:06:54
lastmod: 2021-11-15 02:00:17
status_changed: 2014-06-02 19:06:54
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Kumar, S
creators_name: Penny, W
title: Estimating neural response functions from fMRI.
ispublished: pub
divisions: UCL
divisions: B02
divisions: C07
keywords: Balloon model, Bayesian inference, Tonotopic Mapping, auditory perception, neural response function, parametric modulation, population receptive field, repetition suppression
note: © 2014 Kumar and Penny. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
PMCID: PMC4021120
abstract: This paper proposes a methodology for estimating Neural Response Functions (NRFs) from fMRI data. These NRFs describe non-linear relationships between experimental stimuli and neuronal population responses. The method is based on a two-stage model comprising an NRF and a Hemodynamic Response Function (HRF) that are simultaneously fitted to fMRI data using a Bayesian optimization algorithm. This algorithm also produces a model evidence score, providing a formal model comparison method for evaluating alternative NRFs. The HRF is characterized using previously established "Balloon" and BOLD signal models. We illustrate the method with two example applications based on fMRI studies of the auditory system. In the first, we estimate the time constants of repetition suppression and facilitation, and in the second we estimate the parameters of population receptive fields in a tonotopic mapping study.
date: 2014-05-08
official_url: http://dx.doi.org/10.3389/fninf.2014.00048
vfaculties: VFBRS
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
article_type_text: Journal Article
verified: verified_manual
elements_source: PubMed
elements_id: 949661
doi: 10.3389/fninf.2014.00048
lyricists_name: Penny, William
lyricists_id: WPENN15
full_text_status: public
publication: Front Neuroinform
volume: 8
article_number: 48
event_location: Switzerland
citation:        Kumar, S;    Penny, W;      (2014)    Estimating neural response functions from fMRI.                   Front Neuroinform , 8     , Article 48.  10.3389/fninf.2014.00048 <https://doi.org/10.3389/fninf.2014.00048>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1431205/1/fninf-08-00048.pdf