Literature DB >> 15585291

A fiber optic-based system for behavioral eyeblink measurement in a MRI environment.

Michael J Miller1, Limin Li, Craig Weiss, John F Disterhoft, Alice M Wyrwicz.   

Abstract

We previously described a reliable system to control the timing of multiple stimuli and to detect behavioral eyeblink responses in fMRI studies of learning in animals. Here, we report a significant advancement of the original system, which incorporates a fiber-optic probe in order to avoid the interference associated with the application of pulsed field gradients during MR imaging, particularly echo planar imaging. Eyeblink responses recorded with our fiber-optic probe and modified detection circuit demonstrate the ability of our new system to acquire behavioral data free of gradient-induced artifacts, thereby eliminating the need for low-pass filtering. This fiber optic-based system should be applicable to both animal and human imaging experiments.

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Mesh:

Year:  2005        PMID: 15585291     DOI: 10.1016/j.jneumeth.2004.05.015

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  11 in total

1.  The effects of aging in delay and trace human eyeblink conditioning.

Authors:  Dominic T Cheng; Monica L Faulkner; John F Disterhoft; John E Desmond
Journal:  Psychol Aging       Date:  2010-09

2.  The rabbit as a behavioral model system for magnetic resonance imaging.

Authors:  Craig Weiss; Daniel Procissi; John M Power; John F Disterhoft
Journal:  J Neurosci Methods       Date:  2017-05-26       Impact factor: 2.390

3.  Functional MRI of Human Eyeblink Classical Conditioning in Children with Fetal Alcohol Spectrum Disorders.

Authors:  Dominic T Cheng; Ernesta M Meintjes; Mark E Stanton; Neil C Dodge; Mariska Pienaar; Christopher M R Warton; John E Desmond; Christopher D Molteno; Bradley S Peterson; Joseph L Jacobson; Sandra W Jacobson
Journal:  Cereb Cortex       Date:  2017-07-01       Impact factor: 5.357

4.  A MRI-compatible system for whisker stimulation.

Authors:  Limin Li; Craig Weiss; Andrew C Talk; John F Disterhoft; Alice M Wyrwicz
Journal:  J Neurosci Methods       Date:  2012-02-04       Impact factor: 2.390

5.  Functional MRI of cerebellar activity during eyeblink classical conditioning in children and adults.

Authors:  Dominic T Cheng; Ernesta M Meintjes; Mark E Stanton; John E Desmond; Mariska Pienaar; Neil C Dodge; John M Power; Christopher D Molteno; John F Disterhoft; Joseph L Jacobson; Sandra W Jacobson
Journal:  Hum Brain Mapp       Date:  2013-05-14       Impact factor: 5.038

6.  Neural substrates underlying human delay and trace eyeblink conditioning.

Authors:  Dominic T Cheng; John F Disterhoft; John M Power; Deborah A Ellis; John E Desmond
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-03       Impact factor: 11.205

7.  Functional magnetic resonance imaging of delay and trace eyeblink conditioning in the primary visual cortex of the rabbit.

Authors:  Michael J Miller; Craig Weiss; Xiaomu Song; Gheorghe Iordanescu; John F Disterhoft; Alice M Wyrwicz
Journal:  J Neurosci       Date:  2008-05-07       Impact factor: 6.167

8.  Neural Substrates Underlying Eyeblink Classical Conditioning in Adults With Alcohol Use Disorders.

Authors:  Dominic T Cheng; Laura C Rice; Mary E McCaul; Jessica J Rilee; Monica L Faulkner; Yi-Shin Sheu; Joanna R Mathena; John E Desmond
Journal:  Alcohol Clin Exp Res       Date:  2020-02-16       Impact factor: 3.928

9.  Pretrial functional connectivity differentiates behavioral outcomes during trace eyeblink conditioning in the rabbit.

Authors:  Matthew P Schroeder; Craig Weiss; Daniel Procissi; Lei Wang; John F Disterhoft
Journal:  Learn Mem       Date:  2016-03-15       Impact factor: 2.460

10.  Contingency awareness, aging, and the parietal lobe.

Authors:  Dominic T Cheng; Alyssa M Katzenelson; Monica L Faulkner; John F Disterhoft; John M Power; John E Desmond
Journal:  Neurobiol Aging       Date:  2020-03-04       Impact factor: 5.133

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