MR

SUBICs MR equipment

MR

MR scanner

SUBIC operates a Siemens Prisma 3 Tesla whole-body MRI. The system includes a 64 head/neck, a 20 channel head coil, as well as some additional small target coils. The Prisma features “connectome” gradients with 80mT/m maximum gradient amplitude and 200 T/m/s maximum slew rate and a stabilized gantry that are optimized for DTI, along with and on-board GPU processor to allow rapid image reconstruction for multiband EPI and other high-throughput imaging. To facilitate behavioral neuroscience studies within the MR environment, SUBIC offers several ancillary equipment. Among others, these include:

  • Visual presentation (NordicNeurolab, 4K UHD LCD display)
  • High-quality headphones and earplugs (NordicNeuroLab, AudioSystem)
  • Fiberoptic response pads (Current Designs)
  • Psychophysiological measures (BioPac MP160)
    • Galvanic skin response (GSR)
    • Heart rate
    • Breathing rate and magnitude
    • Electromyography (EMG)
    • Electric stimulus delivery
  • Eye tracker (TRACKPixx3, VPixx)
    • 2kHz binocular distance eye tracker, 1.7ms latency
  • Odor presentation system
  • Tactile stimulator
  • Low pass filters in the magnet room penetration panels allow custom interfacing of other stimulus and monitoring equipment using DB and BNC connectors.

If you are interested in a specific set of coils, or other special equipment that is not listed above, please contact us to inquiry if we can facilitate your requests.

For more information regarding MR-studies, technical equipment, or other MR-related requests, please contact our MR-physicist Patrik Andersson at patrik.andersson@su.se 

For other inquiries please contact subic@su.se

Contacts

For inquiries regarding access cards and the booking system, Calpendo, please contact subic@su.se 

For inquiries related to the MR application form, MR training and technical assistance please contact patrik.andersson@su.se 

For inquiries related to the MR contract, please contact johan.lundstrom@su.se

For inquiries concerning data analysis and experimental design, please contact rita.almeida@su.se