2017 School on Brain Connectomics

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Course content

Technical theme

Connectomics is one of the hottest inter-disciplinary topics today. It links computer science and Engineering with life sciences and medicine. Connection networks grow over functional (fMRI, ASL, EEG, MEG) and structural (diffusion weighted MRI) data and the integration of the two in both static and dynamic conditions would shed light on the way our brain actually works. Connectomics also holds paramount potential for clinical applications through the characterization of the network’s modulation in pathologies and the assessment of the treatment. In particular, it allows capturing the plasticity processes that are due to different causes including learning, aging and recovering from injury. All these topics must be faced in a multidisciplinary approach touching the different fields that are involved by this exquisitely interdisciplinary topic.


Outline of the topics

The School on Brain Connectomics aims at gathering the knowledge in the different fields that are touched by these topics providing the students a comprehensive view of this research area as well as awareness about the cutting-edge methodological, experimental and clinical aspects that are involved. Connectomics bridges signal and image processing with applied mathematics, graph theory and machine learning.

Program

Day 1 - October 9

Time Topic Lecturers
8:15 - 8:45 Registration
8:45 - 9:00 Welcome address Gloria Menegaz, Mario Pezzotti
9:00 - 10:00 Opening Lecture Jean Philippe Thiran
10:00 - 11:30 Neuroanatomy Marina Bentivoglio
11:30 - 11:45 Break
11:45 - 13:15 Neuroanatomy Giorgio Innocenti
13:15 - 14:15 Lunch
14:15 - 15:00 Power Pitch
14:30 Social event

Day 2 - October 10

Time Topic Lecturers
8:30 - 10:00 Diffusion MRI Donald Tournier
10:00 - 11:30 Diffusion MRI Carlo Pierpaoli
11:30 - 11:45 Break
11:45 - 13:15 Diffusion MRI Alessandro Daducci
13:15 - 14:15 Lunch
14:15 - 17:30 Hands-on Session: Diffusion D. Tournier

Day 3 - October 11

Time Topic Lecturers
8:30 - 10:00 Functional Imaging Silvia F. Storti
10:00 - 11:30 Functional Imaging Janine Bijsterbosch
11:30 - 11:45 Break
11:45 - 13:15 Functional Imaging Maria Giulia Preti
13:15 - 14:15 Lunch
14:15 - 17:30 Hands-on Session: functional imaging J. Bijsterbosch

Day 4 - October 12

Time Topic Lecturers
8:30 - 10:00 Connectivity Olivier Coulon
10:00 - 11:30 Connectivity Martijn Van den Heuvel
11:30 - 11:45 Break
11:45 - 13:15 Connectivity Jonas Richiardi
13:15 - 14:15 Lunch
14:15 - 17:30 Hands-on Session: connectivity, graphs A. Griffa

Day 5 - October 13

Time Topic Lecturers
8:30 - 10:00 Microstructure Markus Nilsson
10:00 - 10:15 Break
10:15 - 11:45 Validation Emmanuel Caruyer
11:45 - 13:15 Validation TBA
13:15 - 14:15 Lunch
14:15 - 16:00 Panel discussion

Speakers

Jean Philippe Thiran

Signal Processing Lab. (LTS5), Swiss Federal Institute of Technology (EPFL)

BIO Academic page

Markus Nilsson

Diagnostic Radiology
Lund University, Sweden

BIO Academic page

Alessandro Daducci

Dept. of Computer Science
University of Verona

BIO Academic page

Silvia F. Storti

Dept. of Computer Science
University of Verona

BIO Academic page

Janine Bijsterbosch

Analysis Group, FMRIB Centre
University of Oxford

BIO Academic page

Maria Giulia Preti

Swiss Federal Institute of Technology (EPFL) and University of Geneva, Switzerland

BIO Academic page

Olivier Coulon

MeCA research group - Laboratory for Signals and Systems (LSIS), CNRS, Marseille, France

BIO Academic page

Martijn Van den Heuvel

Dutch Conectome Lab, University Medical Center (UMC) Utrecht, Netherlands

BIO Academic page

Marina Bentivoglio

Department of Neuroscience, Biomedicine and Movement Science, University of Verona

BIO Academic page

Donald Tournier

Department of Biomedical Engineering, King's College, London

BIO Academic page

Carlo Pierpaoli

Quantitative Medical Imaging Section - National Institute of Biomedical Imaging and Bioengineering (NIH)

BIO Academic page

Giorgio Innocenti

Karolinska Institutet, Department of Neuroscience, Solna, Stockholm

BIO Academic page

Emmanuel Caruyer

VisAGeS research team
IRISA, France

BIO Academic page

Jonas Richiardi

Department of Radiology, Lausanne University Hospital

BIO Academic page

Alessandra Griffa

Dutch Conectome Lab, University Medical Center (UMC) Utrecht, Netherlands

BIO Academic page

Venue

The school will be held at the Dept. of Computer Science of the University of Verona (Verona, Italy). Facilities will be made available for hands-on laboratory sessions where the students will learn and experiment software tools for data processing (pre-processing, analysis, modeling).

Registration

Registration fees:

  • SPS member, student (lowest rate) - € 150 for the whole event
  • Non-SPS member, student - € 200 for the whole event
  • SPS member, non-student - € 300 for the whole event
  • Non-SPS member, non-student - € 350 for the whole event

The number of participants is limited to 40.

Priority will be given to Ph.D. students. If you are a post-doc or a researcher, please contact one of the organizers (gloria.menegaz[at]univr [dot] it , alessandro.daducci[at]univr [dot] it , silviafrancesca.storti[at]univr [dot] it ). Admission to the school is possible if there are positions available.

Application requirements:

  1. The applicant's curriculum vitae
  2. A signed motivation letter from the applicant that includes a statement indicating how this School may benefit the applicant's current or future research or training
  3. If the applicant is a PhD student, a signed letter from the applicant's supervisor confirming her/his enrollment in a PhD course

Applicants should send the necessary documentation via email at the following address: gloria.menegaz[at]univr [dot] it

Deadline for applications: September 15, 2017

AFTER the notification of acceptance, payments can be made via credit card at the following link: http://www.di.univr.it/?ent=vendita&codice=BRAIN17