Events (88)

Imaging and Stimulating Adaptive Brain Plasticity

by prof. Heidi Johansen-Berg, Wellcome Centre for Integrative Neuroimaging, University of Oxford

When: January 23rd, 2020 – 3:00 pm

Where: VIMM Seminar Hall

Abstract: Animal studies show that the adult brain shows remarkable plasticity in response to learning or recovery from injury. Non-invasive brain imaging techniques can be used to detect systems-level structural and functional plasticity in the human brain.

This talk will focus on how brain imaging has allowed us to monitor healthy brains learning new motor skills, to assess how brains recover after damage, such as stroke, and how they adapt to change, such as limb amputation.

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Dynamics of Brain networks in Psychosis: Implications for Diagnosis and Treatment

by prof. Fabio Sambataro, Dept. of Neuroscience, University of Padova

When: January 16th, 2020 – 3:00 pm

Where: VIMM Seminar Hall

Abstract: Psychoses are the most severe and devastating psychiatric disorders that cut through the classical nosological categories and include schizophrenia spectrum disorders as well as affective disorders. Genetic and environmental factors have been associated with their etiology, but their pathophysiology is still unknown. Neuroimaging studies have investigated structural and functional changes associated with the risk for these disorders along with their treatment response.

In this presentation, functional connectivity-related phenotypes associated with the risk for the disorders, their modulation by genetic variation and treatment will be discussed.

A Note on the Use of Topic Modeling and Deep Learning to Advance Information Retrieval

by prof. Massimo Melucci, Dept. of Information Engineering, University of Padova

When: January 9th, 2020 – 3:00 pm

Where: VIMM Seminar Hall

Abstract: Information Retrieval (IR) is the complex of theories, models, and technologies aiming to retrieve relevant information to user’s information needs. IR has recently made significant advances in understanding the content of multimedia documents and user queries.
In this talk, I’ll illustrate some noticeable advances, in particular, how topic modeling helps understand content and how the use of deep learning helps overcome some obstacles.

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Introduction to Resting State fMRI Processing: theory and practices

by Nicholas Metcalf, B.S. Bionformaticist and Data Analyst at Washington University in St. Louis

The course will be held on the following dates:

September 18, 19, 20, 25 and 26th, 2017.

The following concepts and steps in the analysis will be discussed:

  1. Introduction to fMRI data formats, volume & surface visualization, and anatomy registration
  2.  fMRI registration, distortion correction, and resampling in volume and to surfaces
  3.  fMRI noise removal, temporal filtering and masking
  4. Overview of the quality control techniques
  5. How to perform simple statistical analysis