Literature DB >> 26738656

An extension of olfactometry methods: An expandable, fully automated, mobile, MRI-compatible olfactometer.

Anne-Kathrin Bestgen1, Patrick Schulze2, Lars Kuchinke3, Boris Suchan3, Thilo Derdak3, Tobias Otto3, Birger Jettkant4, Kirsten Sucker4.   

Abstract

BACKGROUND: fMRI experiments on olfaction offer new insights into the complex, but in contrast to other sensory systems, less studied cognition of odors. To perform these experiments is still a challenge. NEW
METHOD: To address the challenge posed by MR settings, an olfactometer design is presented including specific improvements to the limited number of already existing olfactometers. Innovative features such as pneumatically controlled pinch valves, useable in the scanner and providing exact stimulus timing as well as a 3D-printed nasal mask inlet for common sleep laboratory masks that can be used for lateral divided stimulus presentation are introduced. To ensure a fully automated and mobile system, the use of a flexible and easily-adapted Matlab-Code and a portable adaptable container system are presented.
RESULTS: The functional efficiency of these features are proven by results of an fMRI study as well as testing temporal resolution and concentration stability with a mass spectrometer. COMPARISON WITH EXISTING
METHODS: The 24-channel olfactometer design presented here provides an inexpensive alternative to the currently available olfactometers including the achievement of fast onset times, lateral divided stimulus presentation and high flexibility and adaptability to different scientific questions.
CONCLUSION: The olfactometer design presented in this paper can be seen as a realistic and feasible solution to overcome the challenges of presenting olfactory stimuli within the MR setting.
Copyright © 2015 Elsevier B.V. All rights reserved.

Keywords:  Human olfaction; Odor quality; Olfactometer; Olfactory cognition; fMRI

Mesh:

Year:  2015        PMID: 26738656     DOI: 10.1016/j.jneumeth.2015.12.009

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


  3 in total

1.  Improved low-cost, MR-compatible olfactometer to deliver tobacco smoke odor.

Authors:  Steven B Lowen; Stacey L Farmer; Scott E Lukas
Journal:  Behav Res Methods       Date:  2017-02

2.  Preprocessing of emotional visual information in the human piriform cortex.

Authors:  Patrick Schulze; Anne-Kathrin Bestgen; Robert K Lech; Lars Kuchinke; Boris Suchan
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

3.  Odor Canopy: A Method for Comfortable Odorant Delivery in MRI.

Authors:  Lior Gorodisky; Ethan Livne; Tali Weiss; Aharon Weissbrod; Reut Weissgross; Eva Mishor; Edna Furman-Haran; Noam Sobel
Journal:  Chem Senses       Date:  2021-01-01       Impact factor: 4.985

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.