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Advanced analysis techniques for large datasets in neuroimaging
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Advanced course: cognitive and clinical neuroscience
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Academic year 2021/2022
- Teachers
- Franco Cauda (Lecturer)
Jordi Manuello (Lecturer) - Teaching period
- Secondo semestre
- Type
- PhD Course
- Credits/Recognition
- 2
- Course disciplinary sector (SSD)
- M-PSI/02 - psychobiology and physiological psychology
- Delivery
- Tradizionale
- Language
- Inglese
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Sommario del corso
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Course objectives
Specific objectives and learning outcomes:
- To consolidate knowledge about ongoing neuroimaging projects involving large cohorts
- To familiarize students with the meta-analytic framework in Neuroimaging
- To teach them how to autonomously perform the analysis presented during the course
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Program
Course content:
(list of topic covered)
- The MRI setting and experiments implementation
- Ongoing projects collecting/analysing large cohorts of subjects
- The meta-analytic approach in Neuroimaging
- Advanced statistical techniques to analyse large datasets
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Course delivery
Formal lectures and practicals
Course delivery:
In presence.
Lesson 1 on May 10th will be also on-line at the following link:
https://unito.webex.com/unito/j.php?MTID=m05cfe398a3b35e80f808ac63c1120201
Password: QEp8EQUp7M5
Suggested readings and bibliography
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- Enroll
- Open
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