SPM12

Statistical Parametric Mapping (SPM12)

Registration through GRIPS

When: 26.07.2021 - 29.07.2021 9ct - 5pm 

Where: Lectures via Zoom

 

Course instructions

  1. Access this website with the credentials you've got in our GRIPS webpage (before the course begins)
  2. Watch the video for installing Matlab in your PC at home (before the course begins)
  3. Download SPM12 (from here) and watch the video for installing SPM12  (before the course begins)
  4. Download all the datasets and tools (before the course begins)
  5. Attend the course via Zoom (link): webcam always ON (mandatory presence)
  6. Take and study your notes
  7. Final Test with a toy example

 

Course description

The SPM course is designed for students wanting to be introduced in the fMRI field ranging from beginning to intermediate skill levels. It will provide the basic knowledge of the MR signal, the MRI scanner and the endogenous BOLD contrast reflecting the oxygenation level of the brain´s vasculature. Furthermore, it will cover all aspects of the experimental design, the BOLD specificity and the definition of a General Linear Model (GLM) that will be statistically analysed and optimized by means of SPM12 in order to show significant cortical activations. A practical demonstration of all the SPM12 tools will be given including the batch analysis and the Dynamic Causal Modelling (DCM).

 

Limits:

Registration will be on a first-come, first-served basis

Maximum number of participants is 15

Course will be given in English 

 

 

Siemens Prisma 3T

The 3T Siemens MRI Scanner MAGNETOM Prisma

 

The Siemens MRI Scanner MAGNETOM Prisma is the 3T PowerPack for exploration – it offers a unique 3T MRI platform to help you tackle the most demanding MRI research challenges of today and tomorrow. Its breakthrough design delivers maximum performance under prolonged high-strain conditions. Exciting new MRI applications and deliver high anatomical detail and provide opportunities to expand imaging capabilities.

 

Technical specifications

 

Where is Prisma 3T located?

 

 

MRI-Safety Training

MRI-Safety Training

If you do not have an NDS account pls register here

When: September 6-10, 2021 (Module 22.1) 9ct-6pm

Who: Students (to get credits) + L1 applicants

Where: Lectures via Zoom

 

 

The course is designed for students wanting to be introduced in the MRI field. It will provide the basic knowledge of the MR signal and the MRI scanner.

Progressively, it will go through all MRI standards, safety rules and requirements needed in order to properly fulfill the L1/L2 operator duties. If you want to become an L1/L2 operator pls read here and here (FAQ here)

The course will then provide practical training at the Siemens MAGNETOM Prisma 3T for all participants in order to correctly help (L1) and operate (L2) the MRI scanner.

 

Course instructions

  1. Attend the course (whole Monday, Tuesday morning, Thursday morning) via Zoom
  2. Take and study your notes (course slides are available in the prisma forum here (registration is required))
  3. Pass the online written exam* (17 minutes)
  4. Download, print and sign the current MRI questionnaire here + COVID-19 questionnaire here (bring them with you at the practical training)
  5. Attend the practical training at the Prisma (Tuesday or Thursday afternoon). Pls register yourselves here (well in advance)
  6. Comply with the COVID-19 rules of the University of Regensburg and the MEDBO facility

Lectures (ID: 402 334 6630, Passcode: 624284 or direct link)

Monday 9ct - 6pm

Tuesday 9ct -12am

Tuesday afternoon OR Thursday afternoon: practical training (Pls register yourselves here (well in advance))

Thursday morning 9ct-1pm

Friday 9ct-6pm (on demand consulting via Zoom. Previous email appointment is necessary)

Additional material

Watch the Siemens Safety video here (mandatory)

L1-Operator training video here

L1-Operator tasks .pdf here

 

Exam instructions

*Exam: Electronic remote examinations with supervision (ILIAS ) on the ??? (17 minutes duration)

Listen carefully to all lectures and take notes

Ask questions

Study the slides (available here) and your notes

Total questions: 41 (33 are single choice and 8 are multiple choice)

You have to correctly answer at least 50% of all questions

Questions and answers are all randomly organised

Wrong answers will deduct points from your total score (random guessing won't work). If you do not know the correct answer it is better to leave it blank and continue

 

Exam requirements

1. Uni-VPN + Zoom + Uni-NDS (if you do not have one you can get it here)
2. PC/Laptop(with VPN) + Smartphone/Tablet/PC/Laptop
(with Zoom)

More information here
1. https://www.uni-regensburg.de/rechenzentrum/lehre-lernen/e-pruefungen/distanz/index.html
   
2. https://www.uni-regensburg.de/rechenzentrum/lehre-lernen/e-pruefungen/index.html  
 
3. https://www.uni-regensburg.de/interne-kommunikation/corona-infos/index.html 

VPN

Instructions (German)

Instructions

 

 

Advanced MRI-Safety Training

Advanced MRI-Safety Training or Refresher (registration: here)

 When: On September 8, 2021 9st-1pm

Who: L1/L2s having already attended the MRI-Safety Training in the year 2019 (or before)

Where: Lectures via Zoom

Exam* (08.09.2021 at 2pm sharp) will be Online (25 minutes)

 

Course instructions

  1. Attend the course via Zoom
  2. Meeting ID: 402 334 6630   Passcode: 624284 or direkt link

  3. Take and study your notes
  4. Pass the online written exam* (25 minutes)
  5. Watch the Siemens Safety video here (mandatory) 
 
 

*Exam instructions 

Electronic remote examinations with supervision (ILIAS )

Requirements:
1. Uni-VPN + Zoom + Uni-NDS (if you do not have one you can get it here)
2. PC/Laptop(with VPN) + Smartphone/Tablet/PC/Laptop
(with Zoom)

More information here
1. https://www.uni-regensburg.de/rechenzentrum/lehre-lernen/e-pruefungen/distanz/index.html
   
2. https://www.uni-regensburg.de/rechenzentrum/lehre-lernen/e-pruefungen/index.html  
 
3. https://www.uni-regensburg.de/interne-kommunikation/corona-infos/index.html 

VPN

Instructions (German)

Instructions