Friday, 04 September 2009 02:00

PhD course: Advances in MRI of human brain structure and function

 Download course program 

Overview: This advanced PhD course will provide an up-to-date overview of the currently
available magnetic resonance imaging (MRI) techniques to study the human brain.
Emphasis will be placed on new methodological advances in structural and functional MRI.

Aims: to acquire an in-depth understanding of the various neuroscientific MRI tools; to be
able to efficiently plan and conduct neuroscientific MRI studies; to select the optimal MRI
protocol and data analysis method for individual research projects; and to be able to critically
interpret published MRI studies.

Content: Morphometric analyses of high-resolution structural MRI images of the brain (voxel
and tensor based morphometry, cortical thickness mapping, shape analysis, classification).
Diffusion weighted MRI - assessing anatomical connectivity in vivo (micro- and macrostructural
neuroanatomy, diffusion tensor imaging, TBSS, tractrography and connectivity, clinical
applications). Functional MRI - mapping the brain at rest and at work with a focus on data
processing (perfusion MRI and BOLD, paradigm design, meta-analysis, second level analysis,
causality and connectivity analysis, decompositions, resting state fMRI, physiological noise
modelling, real-time fMRI), and new developments  (high-field MRI, EEG-fMRI, TMS-fMRI,
mind reading).

Participants: PhD students (medicine, physics, biophysics, neuroscience) interested in
neuroimaging. No specific qualifications required, but some basic knowledge of MRI and
some background in statistical image analysis would be helpful.

Language: English.

Form: Interactive teaching with illustrative examples.

ECTS-credits: 2.5

Teachers: Christian Gaser (Uni. Jena), Simon Fristed Eskildsen (Uni. Ålborg),
Oliver Granert (Uni. Kiel), Bogdan Draganski (MPI, Leipzig), Mark Burke (Uni. Montreal),
Mark Tittgemeyer (MPI, Cologne), Saad Jbabdi (Uni. Oxford), Stephane Lehéricy (Uni. Paris),
Finn Årup Nielsen (DTU, Lyngby), Christian Büchel (Uni. Hamburg), James Rowe (Uni. Cambridge),
Morten Mørup (DTU, Lyngby), Torben E. Lund (CFIN, Århus), Stephen  LaConte (Uni. Texas),
Til Bergmann (Uni. Kiel), Axel Tielscher (MPI, Tuebingen), Lars  Kai Hansen (DTU, Lyngby),
William Baaré, Lars Hanson, Arnold Skimminge, Mark Schram Christensen, Tim B. Dyrby,
Henrik Lundell, Kathrine Skak Madsen, Kristoffer H. Madsen (DRCMR, Copenhagen).

Course organizers: Hartwig R. Siebner, Olaf B. Paulson, William Baaré, Tim Dyrby,
Mark S. Christensen and Kristoffer Madsen

Dates: 6, 7, 8 & 9. October, 2009

Place: Auditorium 1, Hvidovre Hospital, Kettegård Allé 30, DK-2650 Hvidovre

Fee: DKK 2.160,-

Course secretary: Ina Tech, DRCMR, MR-afdelingen, Afs. 340, Hvidovre Hospital,
Kettegård Allé 30, DK-2650 Hvidovre. E-mail: inatech#drcmr.dk. Tel.: +45 3632 3331.

Registration:  Admission for Ph.D. students will be allocated on a first-come,
first-served basis. Applications from external participants will be considered after
the closing date. The application must be sent to:
Ph.D. Administration, Blegdamsvej 3B, DK-2200, Copenhagen N.

 Download course program 

Overview: This advanced PhD course will provide an up-to-date overview of the currently
available magnetic resonance imaging (MRI) techniques to study the human brain.
Emphasis will be placed on new methodological advances in structural and functional MRI.

Aims: to acquire an in-depth understanding of the various neuroscientific MRI tools; to be
able to efficiently plan and conduct neuroscientific MRI studies; to select the optimal MRI
protocol and data analysis method for individual research projects; and to be able to critically
interpret published MRI studies.

Content: Morphometric analyses of high-resolution structural MRI images of the brain (voxel
and tensor based morphometry, cortical thickness mapping, shape analysis, classification).
Diffusion weighted MRI - assessing anatomical connectivity in vivo (micro- and macrostructural
neuroanatomy, diffusion tensor imaging, TBSS, tractrography and connectivity, clinical
applications). Functional MRI - mapping the brain at rest and at work with a focus on data
processing (perfusion MRI and BOLD, paradigm design, meta-analysis, second level analysis,
causality and connectivity analysis, decompositions, resting state fMRI, physiological noise
modelling, real-time fMRI), and new developments  (high-field MRI, EEG-fMRI, TMS-fMRI,
mind reading).

Participants: PhD students (medicine, physics, biophysics, neuroscience) interested in
neuroimaging. No specific qualifications required, but some basic knowledge of MRI and
some background in statistical image analysis would be helpful.

Language: English.

Form: Interactive teaching with illustrative examples.

ECTS-credits: 2.5

Teachers: Christian Gaser (Uni. Jena), Simon Fristed Eskildsen (Uni. Ålborg),
Oliver Granert (Uni. Kiel), Bogdan Draganski (MPI, Leipzig), Mark Burke (Uni. Montreal),
Mark Tittgemeyer (MPI, Cologne), Saad Jbabdi (Uni. Oxford), Stephane Lehéricy (Uni. Paris),
Finn Årup Nielsen (DTU, Lyngby), Christian Büchel (Uni. Hamburg), James Rowe (Uni. Cambridge),
Morten Mørup (DTU, Lyngby), Torben E. Lund (CFIN, Århus), Stephen  LaConte (Uni. Texas),
Til Bergmann (Uni. Kiel), Axel Tielscher (MPI, Tuebingen), Lars  Kai Hansen (DTU, Lyngby),
William Baaré, Lars Hanson, Arnold Skimminge, Mark Schram Christensen, Tim B. Dyrby,
Henrik Lundell, Kathrine Skak Madsen, Kristoffer H. Madsen (DRCMR, Copenhagen).

Course organizers: Hartwig R. Siebner, Olaf B. Paulson, William Baaré, Tim Dyrby,
Mark S. Christensen and Kristoffer Madsen

Dates: 6, 7, 8 & 9. October, 2009

Place: Auditorium 1, Hvidovre Hospital, Kettegård Allé 30, DK-2650 Hvidovre

Fee: DKK 2.160,-

Course secretary: Ina Tech, DRCMR, MR-afdelingen, Afs. 340, Hvidovre Hospital,
Kettegård Allé 30, DK-2650 Hvidovre. E-mail: inatech#drcmr.dk. Tel.: +45 3632 3331.

Registration:  Admission for Ph.D. students will be allocated on a first-come,
first-served basis. Applications from external participants will be considered after
the closing date. The application must be sent to:
Ph.D. Administration, Blegdamsvej 3B, DK-2200, Copenhagen N.