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Neurosciences 1st YEAR

  • The student understands the basic structure and function of the neuromuscular system as a model for neuronal communication and interaction
  • The student understands the relation between the electric activity at nerve and muscle cell level and macroscopic electrophysiological non-invasive EEG, MEG, and EMG measurements.
  • The student understands the interpretation of the brain as a dynamic network and can use basic computer simulation techniques to interpret mechanisms.
  • The student knows how to collect encephalographic data and to interpret such data also in relation with external events.
  • The student knows the important mechanisms behind central nervous diseases and how these are reflected in abnormal brain activity.
  • The student is confronted with neuromuscular disease states and the diagnostic tools to do basic differential diagnostics.
  • The student knows principles and applications of the most often used techniques for (functional) brain imaging like (f)MRI, PET, TMS.

Prof. Dr. A. Daffertshofer

Course Description

This course will approach the function of the human nervous system from different angles. Students will be familiarized with basic approaches to neural communication and interaction. We then will deal with the functional background of mass activity in the central nervous system. The student will become familiar with the general principles of electrophysiology and other neurophysiological imaging techniques. The possible roles of oscillatory neuronal dynamics will be explained. The use of relevant methods in the diagnostic process of central nervous disorders and in the recent developments around brain-computer interfaces will then be considered.

Study Characteristics

  • Course Description & Study Characteristics

    Course Description

    This course will approach the function of the human nervous system from different angles. Students will be familiarized with basic approaches to neural communication and interaction. We then will deal with the functional background of mass activity in the central nervous system. The student will become familiar with the general principles of electrophysiology and other neurophysiological imaging techniques. The possible roles of oscillatory neuronal dynamics will be explained. The use of relevant methods in the diagnostic process of central nervous disorders and in the recent developments around brain-computer interfaces will then be considered.

    Study Characteristics

    • Discipline: Human Movement Sciences: Sport, Exercise and Health (Research)
    • Type of education: Lectures; computer practical; excursion (practical Nijmegen)
    • Academic skill: N/A
    • Graduate School: N/A
    • Start date: TBD
    • End date: TBD
    • Minimum number of students: N/A
    • Maximum number of students: N/A
    • Admission criteria: Contact the course coordinator for information on admission criteria: Prof. Dr. A. Daffertshofer
    • Concluding assessment: N/A
    • Assessment type: N/A
    • With Certificate: N/A
    • Schedule info: Lectures 17*2 hours, computer practical 3*4 hours, excursion (practical Nijmegen) 1*4 hours. The course is build around three main themes: (i) Neurons and neural network behavior, (ii) Signals from the brain and their interpretation and (iii) Peripheral neuromuscular systems
    • Number of lessons: 17 lectures, 3 practicals and an excursion
    • Total course duration in hrs.: 50 hrs
    • Sign up period: N/A
    • Anticipated hrs of study: N/A
    • Available to: PhD students VU (and VU RMA students)

Would you like to register or want to know more?

Please contact the course coordinator prof. dr. A. Daffertshofer:

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