2019 School on Brain Connectomics

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Course content

Technical description

Connectomics is one of the hottest inter-disciplinary topics today. It links computer science and Engineering with life- and neuro-sciences. 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 sheds light on the way our brain actually works. Connectomics also holds a paramount potential for clinical applications through the characterization of the network's modulation in pathologies and the assessment of the treatment. The BRAINCONN 2019 Winter School will address all the steps of the pipeline leading from raw data to connectivity models addressing structural, functional and effective connectivity. The School articulates across five days each focusing on one specific aspect. In particular, days 1 opens with a lecture introducing brain connectomics and illustrating the different aspects that are concerned and sets the basis for diffusion MRI signal reconstruction and modelling as well as for the construction of the structural connectivity matrix; day 2 will face some issues affecting signal acquisition and pre-processing in diffusion MRI including the issue of data harmonization from multi-site acquisitions; day 3 faces advanced topics in microstructure modelling and provides a solid background on tractography methods, illustrates pitfalls and recent advances and provides hints for practical usage of existing algorithms. Day 4 is dedicated to functional imaging with lectures dedicated to functional MRI, EEG and MEG and to the introduction of related connectivity models. Day 5 opens with a wide overview on cortical parcellation strategies enabling region-based connectivity models to prepare for the two last lectures concerning effective connectivity models and graph theory. Days 1, 3, 4 and 5 will also host hands-on sessions on the related topics discussed in the morning sessions covering all the main practical aspects of data processing and connectivity modelling.


Outline on topics to be covered

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 technical aspects that are involved. As described in the previous Section, the main topics that will be covered are as follows:

  • Signal acquisition and modeling in diffusion MRI
  • Microstructure modeling in diffusion MRI
  • Tractography methods and related issues
  • Data harmonization across different acquisition sites and protocols
  • Acquisition and processing of functional data (functional MRI, EEG, MEG)
  • Connectivity modeling (structural, functional and effective)
  • Graph models

Program

Day 2 - September 24

Time Topic Title Lecturer
9:00 - 10:00 Data acquisition and harmonization Brain Morphometry using diffusion MRI data Carlo Pierpaoli
10:00 - 11:00 Data acquisition and harmonization Diffusion MRI data harmonization: experience from the international MICCAI Challenges and future directions.
Can we learn anything new?
Francesco Grussu
11:00 - 11:30 Coffee break
11:30 - 12:30 Data acquisition and harmonization Overview of data acquisition and pre-processing factors that affect brain diffusion MRI quality Jorge Jovicich
12:30 - 14:00 Lunch
14:15 - 16:00 Power Pitch

Day 3 - September 25

Time Topic Title Lecturer
9:00 - 10:00 Diffusion MRI: Microstructure and Tractography Diffusion MRI: Microstructure modeling and multidimensional encoding Markus Nilsson
10:00 - 11:00 Diffusion MRI: Microstructure and Tractography What can we learn from the diffusion MRI signal? Donald Tournier
11:00 - 11:30 Coffee break
11:30 - 12:30 Diffusion Computational Methods for Neuroanatomical Bundle Segmentation Paolo Avesani
12:30 - 14:00 Lunch
14:00 - 17:00 Hands-on Session: MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation Donald Tournier

Day 5 - September 27

Time Topic Title Lecturer
8:45 - 9:45 Connectivity models and Graphs Brain functional connectivity inference: models, definitions, perspectives and pitfalls Laura Astolfi
9:45 - 10:45 Connectivity models and Graphs Graph theoretical applications to structural and functional connectivity Siemon De Lange
10:45 - 11:00 Coffee break
11:00 - 13:30 Hands-on Session: Brain Connectivity and Graphs Siemon de Lange
13:30 Closing


Power Pitch

All the participants are required to present their research topic and activity in two minutes at the power pitch session, taking place on Tuesday, right after lunch. To this end, three slides must be sent to the organizers by Friday 13 September at 11:00 am in pdf format.



Hands-on sessions: requirements

Students are free to experiment on their laptops. For each Hands-on session, here are the software requirements, with some useful links for download / installation instructions / tutorials.

Speakers

Fabio Babiloni

University of Rome "La Sapienza"

SHORT BIO

Carlo Pierpaoli

NIH, US

SHORT BIO

Mauro Zucchelli

INRIA, Sophia Antipolis, France

SHORT BIO

Francesco Grussu

UCL, UK

SHORT BIO

Jorge Jovicich

University of Trento

SHORT BIO

Markus Nilsson

Lund University, Sweden

SHORT BIO

Donald Tournier

King's College, London, UK

SHORT BIO

Paolo Avesani

FBK, Trento

Maurizio Corbetta

University of Padova

SHORT BIO

Ilaria Boscolo Galazzo

University of Verona

SHORT BIO

Maureen Clerc

INRIA, Sophia Antipolis, France

SHORT BIO

Olivier Coulon

Institute de Neurosciences de la Timone

SHORT BIO

Laura Astolfi

La Sapienza, University of Rome

SHORT BIO

Martijn Van den Heuvel

VU Amsterdam, The Netherland

SHORT BIO

Siemon De Lange

VU Amsterdam, The Netherland

SHORT BIO

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).



Directions

By plane: The airport of Verona is connected to the main European and national cities. From the airport you can reach the city by taxi or by bus. A shuttle bus connects the airport to Verona Porta Nuova train station.

By train: The train station of Verona Porta Nuova is connected with all the main Italian cities by fast and local trains. For the train schedule, please check the Italian railway company. From the station you can reach the Department of Computer Science by bus or by taxi.

By bus: Bus line 21 (towards S. Giovanni Lupatoto) get off at the first bus stop after Borgo Roma hospital; from the bus stop, you can see the department’s buildings. You can also catch bus line 22 (towards Policlinico/San Giovanni Lupatoto) and line 93 (during the night and on Sundays), towards Cadidavid. For these last two bus lines, get off at Borgo Roma hospital, then follow the map above. You can find timetables and line maps at the ATV website.

By car: Take the A4 Milano-Venezia highway, exit Verona Sud then follow the direction "Ospedale Borgo Roma" (hospital), on the right. At the hospital, go straight, cross the small bridge on a river and take the second right. From here you can see the department buildings on your left.

Committees

Organizing Committee:

Webmaster:

Registration

Registration fees:

  • SPS member, student (lowest rate) - € 350 for the whole event
  • Non-SPS member, student - € 400 for the whole event
  • SPS member, non-student - € 500 for the whole event
  • Non-SPS member, non-student - € 550 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 the organizers (info[at]brainconnectomics [dot] org). 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: info[at]brainconnectomics [dot] org

Deadline for applications: July 3, 2019
Notification of acceptance will be by July 10.

Applications are now closed.

Applications after the deadline will be accepted until the maximum number of attendants will be reached.