Spring 2019 - Resources

NeuroImaging: MRI

Suvi Häkkinen, PhD, DIG Lab (PI: Suzee Lee)

Introduction to the MRI method and what structural, functional and diffusion-weighted contrasts measure. We will cover the basic principles of NMR (T1, T2, T2*), MRI terminology (TE, TR, FOV), and end with practical points about image artifacts and normalization.

NeuroImaging: task-based fMRI - materials

Eduardo Europa, Ph.D., CCC-SLP, UCSF ALBA Language Neurobiology Laboratory (PI: Maria Luisa Gorno-Tempini, M.D., Ph.D); UT Austin Aphasia Research and Treatment Laboratory (PI: Maya Henry, Ph.D., CCC-SLP)

This lecture will cover fundamental concepts in task-based fMRI research. Focus will be placed on the broad range of applications and limitations of this imaging modality in cognitive neuroscience, and considerations when critically reading about or designing task-based fMRI experiments. The talk will conclude with a brief overview of alternative and advanced techniques for analyzing fMRI data.

NeuroImaging: task-free fMRI - materials

Lorenzo Pasquini, PhD; SeeleyLab

This course will cover basic concepts of task-free fMRI. Why did researchers look at it in the first place? What is the relationship to task fMRI and structural connectivity? What are intrinsic brain networks? What can we measure and what can we not? Why do we care (neuroscience/clinics)? What are newest developments (dynamic and directed connectivity)?

NeuroImaging: M/EEG - materials

Valentina Borghesani, Ph.D., ALBA Lab (PI: Maria Luisa Gorno-Tempini, M.D., Ph.D)

We will cover the basics of time-resolved neuroimaging techniques such as electroencephalography (EEG) and magnetoencephalography (MEG). What are we measuring? How does raw/preprocessed/analyzed data look like? What are the main advantages/disadvantages of these techniques? What are some of the key application in cognitive/clinical neuroscience?

Neuro-anatomy - materials

Renaud La Joie, PhD, and Orit Lesman-Segev, MD; RabLab

This session is designed for people with no to minimal anatomy knowledge, who want to understand where is this region everyone is talkign about when an MRI shows up in a talk ("frontal atrophy?" "where is the hippocampus?"). We will use both a plastic replica human brain and MRI examples to go through the brain landmarks (lobes, sulci, ...) of the brain.

NeuroPsychological testing: language - materials

Sladjana Lukic, Ph.D., ALBA Lab (PI: Maria Luisa Gorno-Tempini, M.D., Ph.D)

This course will first describe the neural mechanisms of normal language processing. Then, we will describe the neural bases, linguistic and cognitive characteristics of acquired language disorders, including stroke, primary progressive aphasia, and traumatic brain injury. We will then focus on assessment, diagnosis, prognosis, and treatment of such disorders.

NeuroPsychological testing: memory - materials

Maxime Montembeault, Ph.D., ALBA Lab (PI: Maria Luisa Gorno-Tempini) and Elena Tsoy, Ph.D., TabCAT Lab (PI: Katherine Possin)

The lecture will cover the fundamentals of memory systems, including classical theories of memory and neuroanatomical substrates of memory. The main focus of this talk will be on neuropsychological tests of memory, as well as the most common memory "profiles" that can be derived from testing. The lecture will be complemented with clinical case illustrations.

Image Processing Basics - materials

Maryana Alegro, PhD, Grinberg Lab (PI: Grinberg Leah)

This lecture will cover the fundamentals of image processing, including representation and types of digital images, filtering, thresholding, edge detection, among others. Time allowing, we will also cover a very basic application of machine learning concepts in image processing. The lecture is designed for an audience with very little knowledge on the subject and will be presented as a series of small hands-on computational exercises in Python.