Behavioral Neuroscience
(Spring 2021)
Course description
The course was delivered online in a synchronous modality in which students met twice a week for 1 hour and 15 minutes. The course included traditional lectures and a research experience. The theoretical part included introductory notions of brain anatomy and physiology, introduction to brain imaging and MRI and fMRI analysis. The practical experience included course-based research activities according to the LTU CRE pedagogical model (https://www.inclusivity-cre.org/) experienced through the Brainlife platform (https://brainlife.io/).
Part One - Tutorials
Tutorials provided within the Brainlife platform allowed the students to familiarize themselves with the varying apps and processes offered by BrainLife. Students spent time working individually on the following tutorials:
Introduction: Walked students through account and project creation, interacting with datasets, launching processes, visualizing results, and creating pipelines
Anatomy: Showed students how to process anatomical data for further data analysis (ie. volumetric analysis)
FMRI Preprocessing: Allowed students to successfully process functional data for further data analysis
FMRI Networks: Showed students how to generate functional connectivity matrices following fMRI preprocessing.
Part Two - Group Analysis Through Pipeline Creation
Using pipelines, which allowed for the combination of application and processes (in the form of rules), students applied this technique to multiple subjects at a time. The students worked individually and as a group to create multiple pipelines with the use of the apps on the right.
Results
6 students (4 female; 2 males) with no previous experience either in neuroscience analysis and Brainlife completed a 16-weeks course-based research experience in which they measured, visualized and compared brain anatomy and functions.
As indicated by the self-reported perception of their experience, students liked working with Brainlife at processing anatomical and functional MRI data (Figure 1).
A word cloud analysis (Figure 2) shows that the most used adjective to define their experience was “interesting”. More in general we can see a polarization between positive adjectives like “stimulating”, “educational”, “interactive”, “engaging”, “simple”, “helpful” and negative adjectives, like “frustrating”, “complicated”, “challenging”, “confusing”. The word choices also included adjectives like “new” and “different”, indicating that students felt they had done something original, something they had not experienced before in their path to graduation.