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Philips 3T Achieva


Magnetic resonance imaging (MRI) is a powerful tool and is widely used in neuroimaging owing to its non-invasive nature and high sensitivity to brain activation. The workhorse of present-day cognitive neuroimaging research, the 3T MRI scanner provides excellent image quality for routine data collection to study activation of the brain, as well as its anatomical structure and metabolism. Additionally, the Spinoza Centre houses an integrated recording system that registers several important physiological parameters into the standard workflow.

Scanning protocols include methods for

  • measuring brain activation
  • (quantitative) anatomical imaging
  • probing white matter structure (using diffusion-weighted imaging)
  • neurochemical profiling (using proton spectroscopy)

Equipment for monitoring additional processes during scanning includes:
  • cardiac and respiratory cycles
  • eye movements and eye tracking
  • skin conductance

Advanced stimulus presentation and behavioural recording is possible with
  • Wide-angle back projection for visual presentation
  • DLP beamers with 5 millisecond refresh rate and <1 ms precision
  • fORP optical manual response system, buttons and joystick
  • MR confon audio system
  • electrical current stimulation
  • 256-channel MRI compatible EEG system

Main technical specifications of the MRI:
  • Philips 3T Achieva
  • Dual transmit parallel RF transmission technology
  • Max gradient strength: 40 mT/m
  • Max gradient slew rate: 200 mT/m/ms
  • 32 and 8 channel receive head coils
  • Bore diameter: 60 cm
  • Field-of-view (in head-feet direction): 45 cm

Cases which used 3T MRI

Prof. Dr. Hilde Geurts
ASD and ADHD traits reflected in brain of typical adults
Dr. Steven Scholte
Tracking moving identities
Prof. Dr. Birte Forstmann
Bias in the brain
Dr. Ysbrand van der Werf
Individual differences in white matter diffusion affect sleep oscillations

Associative learning increases trial-by-trial similarity of neural patterns
Dr. Aart Nederveen
Clinical use of Arterial Spin Labeling
Dr. Ysbrand van der Werf
Hippocampal-cerebellar coactivation in movement prediction
Dr. Guido van Wingen
A fMRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression
Dr. Tomas Knapen
The Visual System: Retinotopic Maps and Population Receptive Fields