Analysis of automatically measured behaviors of humans and animals

Date: Thursday 26 May 2016
Time: 3:00pm - 6:20pm
Location: Goldsmith 3

Organizers: Katrin Schenk (Randolph College, USA) and Maarten Loos (Sylics, Amsterdam)

Abstract: Recent advances in the versatility of monitoring tools and our increasing ability to process large data sets gives researchers an unprecedented capacity to analyze animal and human behavior. During the last decade, a number of different systems have been developed for automated monitoring and analysis of rodent behavior in a home-cage environment. These systems facilitate measuring behavior in a standardized setting, without human intervention, for prolonged periods of time. The combination of objectivity and large behavioral datasets have proven to greatly benefit the efficiency, sensitivity and reproducibility of behavioral experiments. In humans, the availability of robust and ubiquitous sensors such as those in cellular phones and smartwatches, allow for the continuous assessment of functional status as well as continuous disease progression tracking. However, to optimally make use of automated behavioral monitoring, optimized and validated behavioral tests and analysis methods are crucial.

This symposium will provide an up-to-date overview of automated systems, accessories, tests and data analysis methods, with a focus on the assessment of spontaneous behavior and the development of behavioral challenges for translational research.

Presentations

15:00 - 15:20  Functional Monitoring of Home Dwelling Alzheimer’s Patients

Katrin Schenk, George Netscher, Brad Zylstra, Julian Jacquemot, Steve Bonasera, Evan Goulding

Randolph College, United States of America; kschenk@randolphcollege.edu 

15:20 - 15:40  High-Throughput System for Mouse Behavioral Phenotyping in the Home Cage

Evan Hayward Goulding1, Katrin Schenk2, Clair Martin1, Laurence Tecott3

1Northwestern University, United States of America; 2Randolph College, United States of America; 3University of California, San Francisco; e-goulding@fsm.northwestern.edu 

15:40 - 16:00  Assessing discrimination- and reversal learning in the PhenoTyper within 4 days: Specific impairments in an Alzheimer’s disease model
Esther Remmelink1,2
1Sylics (Synaptologics BV), Netherlands, The; 2VU University Amsterdam, Netherlands, The; esther.remmelink@sylics.com 

 16:00 - 16:20  Automatic Measurement of Behaviors for Intervention Optimization

Holly Brugge Jimison

Northeastern University, United States of America; h.jimison@neu.edu 

 16:20 - 16:40  Behavioural data analysis methods in the German Mouse Clinic

Sabine M. Hölter

Helmholtz Zentrum München, Germany; hoelter@helmholtz-muenchen.de 
16:20 - 16:40 LiveWell: A Smartphone Application to Enhance Understanding and Treatment of Bipolar Disorder

Evan Hayward Goulding1, Cynthia Dopke1, Clair Martin1, Yong Jun Kwon2, Tania Michaels1, Mark Begale1, Chris Karr1, Katrin Schenk2, Stephen Bonasera3, Mohr David1

1Northwestern University, United States of America; 2Randolph College, United States of America; 3University of Nebraska Medical Center, United States of America; e-goulding@fsm.northwestern.edu 

 16:40 - 17:00  Systematic PhenoTyper data analysis using AHCODA analysis software and AHCODA-DB data repository

Bastijn Koopmans1, August B. Smit2, Matthijs Verhage3, Maarten Loos1

1Sylics (Synaptologics BV), Amsterdam; 2Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research (CNCR), Neuroscience Campus Amsterdam, VU University, Amsterdam; 3Department of Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), Neuroscience Campus Amsterdam, VU University, Amsterdam; bastijn.koopmans@sylics.com 

 17:00 - 17:20   Tracking of Individual Mice in a Social Setting Using Video Tracking Combined with RFID tags

James Douglas Armstrong1,2, Abraham Acevedo Arozena3, Rasneer Sonia Bains3, Heather Cater3, Agis Chartsias2, Patrick Nolan3, Duncan Sneddon3, Rowland Sillito2, Sara Wells3

1Actual Analytics Ltd, United Kingdom; 2University of Edinburgh, United Kingdom; 3Mary Lyon Centre, MRC Harwell, UK


 17:20 - 17:40  What can watching old mice tell us about aging?

Stephen John Bonasera1, Nicholas W. DeKorver1, Tammy R. Chaudoin1, Evan H. Goulding2, A. Katrin Schenk3, Bradley Zylstra3, Cassia Rye-Hanton1, Yong-Jun Kwon3

1University of Nebraska Medical Center, United States of America; 2Northwestern University, United States of America; 3Randolph College, United States of America; sbonasera@unmc.edu 

 17:40 - 18:00  Role of Computational Models in Automatic Measurement of Behaviors 

Misha Pavel

Northeastern University, United States of America; m.pavel@neu.edu