restless led syndrome model drosophila melanogaster show successful olfactory learning and 1-day retention of the acquired memory

restless led syndrome model drosophila melanogaster show successful olfactory learning and 1-day retention of the acquired memory

;Mika F. Asaba;Adrian A. Bates;Hoa M. Dao;Mika J. Maeda
impulse: the premier undergraduate neuroscience journal 2013 pp. 1-9
156
asaba2013impulse:restless

Abstract

Restless Legs Syndrome (RLS) is a prevalent but poorly understood disorder that ischaracterized by uncontrollable movements during sleep, resulting in sleep disturbance.Olfactory memory in Drosophila melanogaster has proven to be a useful tool for the study ofcognitive deficits caused by sleep disturbances, such as those seen in RLS. A recently generatedDrosophila model of RLS exhibited disturbed sleep patterns similar to those seen in humans withRLS. This research seeks to improve understanding of the relationship between cognitivefunctioning and sleep disturbances in a new model for RLS. Here, we tested learning andmemory in wild type and dBTBD9 mutant flies by Pavlovian olfactory conditioning, duringwhich a shock was paired with one of two odors. Flies were then placed in a T-maze with oneodor on either side, and successful associative learning was recorded when the flies chose theside with the unpaired odor. We hypothesized that due to disrupted sleep patterns, dBTBD9mutant flies would be unable to learn the shock-odor association. However, the current studyreports that the recently generated Drosophila model of RLS shows successful olfactorylearning, despite disturbed sleep patterns, with learning performance levels matching or betterthan wild type flies.

Citation

ID: 162536
Ref Key: asaba2013impulse:restless
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
162536
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet