2021-Fall

The Brain Mapping Workshop

Updated Dec 1, 2021

The BMW list has moved to the D2L resource site: "Neuroimaging Workshops".

If you would like to be added to the  D2L resource site: "Neuroimaging Workshops", contact dkp @ email.arizona.edu

The  "Neuroimaging Workshops" D2L site will: 

Regular meetings may be replaced with periodic workshops based on people's needs and wants.

Fall 2021 Schedule

Meetings may be recorded if the presenter and others are comfortable with that choice.  You can contact me (Dianne Patterson) at dkp @ email.arizona.edu. You will receive a message with a zoom link

Meetings will be on Thursdays from 2-3 on the first and third Thursdays of each month:

Sept 16 Introductions

Oct 7 Devin  Bayley: Visualization Tools & Services.  Dianne Patterson: MRIQC overview.  Tom Hicks: Quality Metric Tools to enhance interpreting MRIQC results

Devin has previously developed a neurochoropleth tool for us.  Please visit the Google form survey to tell us more about what you want and what you use for visualization issues. 

Oct 21 Dianne Patterson: QSIprep and MRtrix_connectome for BIDS-compliant preprocessing of DWI data. 

Nov 4 Manoj  Saranathan: Thalamic nuclei segmentation: cutting edge methods and applications

Nov 18  Nan-Kuei Chen and Chidi Ugonna: Using HPC for Neuroimaging  

Dec 2 Aneta Kielar: An Introduction to CONN. Preparation for a larger Connectivity Analysis workshop? Ying-hui (FSL), Aneta Kielar and Natalie Dailey  (CONN), Dianne (GIFT, BIP), Chidi, Yilin


Other Events / Resources

Presented by: Data Management and Statistics Core of the Arizona Alzheimer’s Disease Research Center.

Hosted by: Mike Malek-Ahmadi, PhD; Bioinformatics Scientist, Banner Alzheimer’s Institute, Phoenix, AZ

When: Friday October 15, 2021; 10:00 am – 12:00 pm MST. 

Cost: Free, but registration is required and can be completed at the following link

https://arizona.zoom.us/meeting/register/tZElcuippz8vHdxEagbDxSVfZiDKUYmnJ6oG

Webinar Overview

Statistical analyses can reveal important patterns in neuroscience data, but can also lead us into error. This webinar will give practical advice on issues that often come up     during statistical reviews and will explain the most common pitfalls and how to avoid them.  Topics will include testing the normality assumption, multiple comparison adjustment, covariate selection, p-value interpretation, as well as common errors in the reporting of statistical analyses. Attendees will also have the opportunity to ask questions and take part in detailed discussions on the topics presented.

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C-STAR Lectures: regular online lecture series focusing on aphasia