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Why this programme?

Cognitive Neuroscience

In the Cognitive Neuroscience specialisation you acquire a unique combination of in-depth knowledge on human brain function, perception and cognition, paralleled with an extensive and hands-on training for using the most advanced non-invasive brain imaging (including fMRI, fNIRS, DWI, EEG/MEG) and brain stimulation (TMS, tDCS) techniques. The obtained knowledge and skills provide an excellent background to flexibly apply these techniques in fundamental as well as applied and clinical research settings.

This teaching programme covers relevant topics of Cognitive Neuroscience and reflects the research expertise of the ‘Cognitive Neuroscience’ group at the Maastricht Brain Imaging Center (M-BIC). By addressing key issues in perceptual and cognitive brain research, you will build a detailed understanding of how the ‘working’ brain perceives, feels, moves, learns and creates a conscious mind. Specific course topics include auditory and visual perception, attention, language, sensorimotor functions, learning and memory as well as brain connectivity and connectomics and neuroimaging in disorders of consciousness.

Moreover, you learn to translate this knowledge in empirical research by extensive hands-on training in all aspects of the experimental cycle, including experimental design, recording and manipulating brain activation, and advanced data analysis. Methods that you will learn to apply include (f)MRI, fNIRS, DWI, TMS, tDCS, EEG/MEG as well as data analysis in Matlab, EEGLAB, Brainvoyager and Turbo-BrainVoyager (neurofeedback).

Internships

Thanks to the local research infrastructure as well as an exceptionally rich international network, you have ample opportunities for internships in cognitive neuroscience and related fields in our center and at top universities throughout the world (including Cambridge, Harvard, NIH, Stanford, University College London). Internship research topics range from fundamental brain research (e.g. neural basis of perceptual learning, layer-specific attention effects in visual cortex at 7T fMRI) and applications of advanced neuroimaging methods (e.g. brain-computer interfaces, multi-modal imaging) to clinical research (e.g. tDCS-based alleviation of phantom pain, neurofeedback training in Parkinson patients). We will help you find a topic and location that best fit your own interests and career goals. Curious about the kinds of projects students have conducted? At the bottom of the page you will find a list of research topics.

Master's Open Day presentation

FPN | Master's Open Day | Cognitive Neuroscience | Research Master specialisation [FULL]

Forensic Psychology

  Request a brochure

  Since I graduated from the research master programme I have stayed at Maastricht University and am now a post-doctoral researcher at the Faculty of Psychology and Neuroscience. The research master’s programme, specialisation Cognitive Neuroscience, was an excellent stepping stone which prepared me really well for a PhD position, as it gave me a thorough background in advanced research methods as well a detailed understanding of the structure and function of the human brain in the coursework in the first year. I love the fact that every day I still use much of the knowledge I learnt during my research master studies. 

Martin Frost (Australia)
Post-doctoral fellow, Maastricht University

 

Teaching staff and research environment

The Cognitive Neurosicence teaching staff consists of an international and multidisciplinary team of researchers including psychologists, biologists, physicians, engineers, physicists, and computer scientists affiliated to the M-BIC and Department of Cognitive Neuroscience at the Faculty of Psychology and Neuroscience.

The M-BIC offers a unique research infrastructure with (ultra) high field imaging facilities (3T, 7T) and one of only five 9.4T systems worldwide, as well as fully equipped EEG, fNIRS and TMS/tDCS laboratories. Research is organized around perceptual, cognitive and methodological themes as described on the M-BIC website. Examples of applied/clinical research projects include fMRI-based neurofeedback therapy (e.g. depression, spider phobia), brain-based communication in locked-in patients, TMS/tDCS-guided brain recovery after stroke or brain injury, brain-based assessment of dyslexia intervention, tinnitus remediation and hearing-aid applications.

Assistant professor, MBIC and Cognitive Neuroscience, FPN, Publications

Track Coordinator, Skills trainings: Programming in Matlab, Workshops: Basic mathematical methods and Signal Analysis

Giancarlo Valente

fMRI data analysis, Pattern recognition, machine learning, Bayesian modeling, unsupervised learning

Assistant professor, MBIC and Cognitive Neuroscience, FPN, Publications

Skills training fMRI

Federico De Martino

fMRI, High Magnetic Fields, Layers, fMRI Encoding, Columns, Auditory

Professor, MBIC and Cognitive Neuroscience, FPN, Publications

Course Neuroimaging: Functional MRI, Skills training fMRI

Elia Formisano

(High field) functional MRI, Auditory perception and cognition, Analysis of neural signals, Computational modeling

Professor, MBIC and Cognitive Neuroscience, FPN, Publications

Course: Advanced fMRI, Workshop: Real-time fMRI & neurofeedback

Rainer Goebel

Computational architecture of vision, high field fMRI, brain connectivity, analysis methods, brain-computer interfaces

Professor, MBIC and Cognitive Neuroscience, FPN, Publications

Course: Auditory and higher order language processing

Bernadette Jansma

Language, attentional selection, speech production, object perception, language disorders, functional MRI, EEG, ECoG

Assistant professor, MBIC and Cognitive Neuroscience, FPN, Publications

Course: Sensorimotor processing

Amanda Kaas

Somatosensory processing and (maladaptive) plasticity, (chronic) pain, tactile displays for brain-computer interfaces

Postdoctoral Research Fellow, MBIC and Cognitive Neuroscience, FPN, Publications

Course: Sensorimotor processing

Joel Reithler

Neural plasticity, procedural and declarative learning and memory, visual perception, (high-field) fMRI

Associate professor, MBIC and Cognitive Neuroscience, FPN, Publications

Course: Brain connectivity & connectomics, Skills training: DWI and fibre tracking

Alard Roebroeck

Brain connectivity, diffusion MRI, cortical microcircuits, cortical architecture, connectomics, computational models

Professor, MBIC and Cognitive Neuroscience, FPN, Publications

Course: Noninvasive brain stimulation (NIBS)

Alexander T. Sack

Combining brain imaging (fMRI/EEG) and brain stimulation (TMS/TES) to study the neural mechanisms of human cognition

Assistant professor, Cognitive Neuroscience, FPN, Publications

Workshop: Methods of deactivation

Teresa Schuhmann, PhD

Neural correlates of attentional control in the healthy and diseased brain, brain circuits in cognitive control 

Assistant professor, MBIC and Cognitive Neuroscience, FPN, Publications

Course: EEG and MEG, Skills training: EEG and ERP

Fren Smulders

EEG, ERP, reaction times, mental chronometry, Selective attention, Lie- and memory detection, methods of analysis

Assistant professor, MBIC and Cognitive Neuroscience, FPN, Publications

Course: Translational Neuroscience, Workshop: Real-time fMRI & neurofeedback

Bettina Sorger

translational neuroscience, brain-computer interfacing, neurofeedback (therapy), functional neuroimaging (fMRI, fNIRS)

Assistant professor, MBIC and Cognitive Neuroscience, FPN, Publications

Course Neuroscience of the Engram, Research Electives

Vincent van de Ven

Visual memory, illusions, learning, auditory hallucinations, resting-state fMRI, brain connectivity, time perception

Professor, MBIC and Cognitive Neuroscience, FPN, Publications

Courses: Perception and attention and Neuroscience of the Engram

Peter de Weerd

Visual perception, attention, learning, memory, psychophysics, neurophysiology, neuroimaging, molecular biology

Examples of internship topics

 

Thesis Institution
Alleviating phantom pain in amputees' with tDCS FMRIB Centre, Oxford, UK
Treating depression using fMRI neurofeedback Cardiff University, UK
Brain network underlying moral judgment Harvard Medical School, Boston, USA
Auditory cortical analysis of melodies in musicians McGill University, Montreal, Canada
Brain connectivity alterations in long meditation experts MPI for Human Cognitive and Brain Sciences, Leipzig, Germany

Visual scenes revealed by multivariate fMRI analysis

National Institute of Health, Bethesda, USA
Fine-grained object representation in the visual cortex Cognition and Brain Sciences Unit, Cambridge UK
High resolution imaging of direction selective columns in human area V5 University of Minnesota, USA and MBIC, UM
Combining EEG/TMS to study decision making UCL Institute of neurology, London, UK
Modeling anatomical and functional brain connectivity Universitat Pompen Fabra, Barcelona, Spain

 

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