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Neuroimaging genetics

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Neuroimaging genetics

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Academic year 2022/2023

Course ID
NEU0274B
Teacher
Dott. Fabrizio Pizzagalli (Lecturer)
Year
2nd year
Teaching period
Second semester
Type
Basic, Related or integrative
Credits/Recognition
2
Course disciplinary sector (SSD)
FIS/07 - applied physics (a beni culturali, ambientali, biologia e medicina)
Delivery
Formal authority
Language
English
Attendance
Optional
Type of examination
Quiz
Type of learning unit
modulo
Modular course
Neuroimaging II (NEU0274)
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Sommario del corso

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Course objectives

The course aims to introduce the principles of imaging genetics studies.

Students will learn about neuroimage processing, design workflows to process brain images and basic usage of popular NeuroImaging softwares (e.g. SPM, FSL, Freesurfer). The second part of the course will focus on  genetic association and statistical topics like meta-analyses for Big Data harmonization, including practical hands-on examples.

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Results of learning outcomes

At the end of the course the student will be able to:

- Define optimal strategy for NeuroImaging  data processing.

- Understand the main methodological aspects for Imaging Genetics studies.

- Interpret the Imaging Genetics findings reported in literature.

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Program

  • Introduction to Imaging Genetics: Why and how is imaging genetics going to make a difference to our understanding of the brain? 
  • Basic genetics
    • Complex Diseases studies (Disease prediction)
  • Anatomical MRI Analysis
    • Image Registration
    • Segmentation & Morphometry (VBM, SBM, sulcal-based morphometry)
    • Diffusion MRI Image Processing (Tractography and other techniques)
    • Network Analysis (Applications of Graph Theory)
  • NeuroImaging Genetics
    • Heritability and genetic correlations
    • Pleiotropy
    • Imaging Complex Diseases - Brain Structure
    • Imaging Complex Diseases - Connectivity
  • Hands-on:
    • Run real experiments
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Course delivery

Frontal lessons and hands-on running experiments.

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Learning assessment methods

The exam aims to verify the achievement of the expected learning outcomes by solving multiple questions on all the topics covered.

Written test consisting of 10 multiple choice questions of which only one correct (3 points will be awarded for each correct answer. No points for each incorrect answer.

We intend to foster the achievement of broad knowledge rather than notional knowledge.

Suggested readings and bibliography

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Notes

Bibliographic references of articles updated to the most recent knowledge of neuroradiology will be suggested.

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Last update: 19/05/2022 15:58
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