Introduction to Functional Imaging of the Human Brain
Informacje ogólne
Kod przedmiotu: | 2500-EN-S-75 |
Kod Erasmus / ISCED: |
14.4
|
Nazwa przedmiotu: | Introduction to Functional Imaging of the Human Brain |
Jednostka: | Wydział Psychologii |
Grupy: |
specialization courses for 4 and 5 year |
Punkty ECTS i inne: |
(brak)
|
Język prowadzenia: | angielski |
Rodzaj przedmiotu: | fakultatywne |
Skrócony opis: |
(tylko po angielsku) The course introduces practical aspects of working with functional neuroimaging techniques as applied to clinical and cognitive neuroscience. In order to complete the course, participants will analyze the data acquired from a simple fMRI experiment and prepare a research report based on their findings. |
Pełny opis: |
(tylko po angielsku) Functional magnetic resonance imaging (fMRI) plays a crucial role in the understanding of functional organization of the human brain. fMRI is inherently multidisciplinary, and data acquisition techniques, as well as data analysis methods are constantly evolving. The course is designed to develop participants’ understanding of: (I) physics and physiology underlying MRI and fMRI, including basic safety issues; (II) most important methods used for functional neuroimaging (e.g. fMRI, VBM, rs-fMRI, DTI, MVPA); (III) their potentials, limitations, and application in clinical studies; (IV) statistical fMRI data analysis. Working in small research groups, students will: conduct a simple fMRI experiment participating in the data acquisition at MRI unit, learn how to prepare data for the analysis, perform the statistical analysis of fMRI data using dedicated software, learn how to interpret the obtained findings, prepare a short research report and propose future clinical applications of their results. |
Literatura: |
(tylko po angielsku) Selected bibliography: Bennett, C.M., Baird, A.A., Miller, M.B., & Wolford, G.L. (2010). Neural correlates of interspecies perspective taking in the post-mortem Atlantic salmon: An argument for proper multiple comparisons correction. Journal of Serendipitous and Unexpected Results, 1:1–5 Eklund, A., Andersson, M., Josephson, C., Johannesson, M., & Knutsson, H. (2012). Does Parametric fMRI Analysis with SPM Yield Valid Results? An Empirical Study of 1484 rest datasets. Neuroimage, 2; 61(3):565-78. doi: 10.1016/j.neuroimage.2012.03.093 Fornito, A., Zalesky, A., & Bullmore, E. (Eds.) Fundamentals of Brain Network Analysis. Academic Press, Elsevier, 2016 Huettel, S. A., Song, A. W., & McCarthy, G. (2009). Functional magnetic resonance imaging. Sunderland, Mass: Sinauer Associates Poldrack, R. A., Mumford, J. A., & Nichols, T. E. Handbook of Functional MRI Data Analysis. New York: Cambridge University Press, 2011 Toga A. W. (Ed.) Brain Mapping: An Encyclopedic Reference. Academic Press, Elsevier, 2015 SPM software: http://www.fil.ion.ucl.ac.uk/spm/ MriCro/MriCron software: http://www.mccauslandcenter.sc.edu/CRNL/tools BrainVoyager Brain Tutor software: http://www.brainvoyager.com/downloads/downloads.html |
Efekty uczenia się: |
(tylko po angielsku) After the course, participants will be able to understand the fundamentals of functional brain imaging techniques, get familiar to the most important practical aspects of working with MRI machine, as well as have a basic knowledge of statistical analysis of fMRI data. |
Metody i kryteria oceniania: |
(tylko po angielsku) In order to complete the course, students will acquire and analyze fMRI data, as well as prepare a short research report based on the obtained findings. Thus, course attendance is among the most important criteria to complete the course! Students will work in small research groups and participate in: conducting a simple fMRI experiment, including data acquisition at MRI unit, learning how to prepare data for the analysis, performing the statistical analysis of fMRI data using dedicated software, learning how to interpret the obtained findings, preparing a short research report. The following assessment criteria will be considered: Groups are required to present their final research report (theoretical background, method, procedure, analyses, results, discussion, limitation and future directions) as a summary of their work; each student needs to get involved! Group work will be evaluated after each class based on students’ progress with the final assessment (research report) and extra credits will be given to the groups keeping up to the course Extra credits will be given to individuals for their active participation in the course Attendance rules As the course is focused on the practical aspects, full attendance is required. Only a formally excused absence is allowed but an additional task will be given to make up for it. However, missing more than 2 classes results in course failure. |
Właścicielem praw autorskich jest Uniwersytet Warszawski.