NEF724 - CORTICOGRAPHY and FUNCTIONAL MAPPING

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
CORTICOGRAPHY and FUNCTIONAL MAPPING NEF724 Any Semester/Year 1 6 4 10
PrequisitesStudents who have previously taken Long term video-EEG monitoring with scalp electrodes in adults courses.
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Preparing and/or Presenting Reports
Drill and Practice
Case Study
Problem Solving
Brain Storming
 
Instructor (s)Serap Saygı MD. Prof.of Neurology Ä°rsel Tezer Filik MD, PhD. Prof. of Neurology  
Course objectiveRecording, interpreting and reporting of invazive EEG recorded by intracranial electrodes will be learned. Students will prepare the subjects before the lectures. One a week theoritical, four hours a week practical teaching courses will be held. EEG recordings with intracranial electrodes and functional mapping will be discussed interactively with student from the online recordings during the patient's monitoring as well as archive recordings. 
Learning outcomes
  1. Students will gain ability to judge for indications and techniques of per or preoperative EEG recordings with intracranial electrodes, electrode selection and placement strategies
  2. . Ictal and interictal EEG patterns, differentiation from artifacts and benign epileptiform variants will be learned. Also the effects of anesthetic drugs on EEG can be defined. T
  3. The risk and prevention or treatment of complications and medical problems will be learned. Students will also have a basic knowledge for functional mapping for speaking and motor area. Report of corticography can be written.
Course ContentThis lesson includes indications of corticography, type of electrodes, planning of placement of electrodes, ictal and interictal EEG patterns, differentiation from artifacts and benign variants, the effect of anesthetic drugs on EEG, the risk of complications and functional mappings and reporting. 
References1) Atlas of video EEG Monitoring (Sirven JI, Stern JM) Mac Graw Hill Publ. China, 2011
2) Epilepsi (Editörler : İ. Bora, N. Yeni, C. Gürses), Nobel Tıp Kitabevi, 2008, İstanbul
3) The Epilepsies : Seizures, Syndromes and management. Panayiotopoulos CP. Bladon Medical Publishing, Hong-Kong, 2005.
4) Fisch and Spehlmann's EEG Primer: Basic Principles of Digital and Analog EEGElsevier; 3 edition,1999
5) Atlas of EEG & Seizure Semiology (Abou Khalil, Missulis K) , Butterworth-Heinemann, 2005
6) Fundamentals of EEG Technology (Tyner, Knott, Mayer) . Lippincott Williams & Wilkins; 1 edition , 1989
 

Course outline weekly

WeeksTopics
Week 1The definition and indications of corticography with different types of electrodes
Week 2Technical features of preoperative long term videoEEG monitoring with intracranial electrodes
Week 3Planning for placements of electrodes and other helpful methods for desicion making before preoperative long term videoEEG monitoring with intracranial electrodes
Week 4The risk of complications and other medical problems during the preoperative long term videoEEG monitoring
Week 5Planning of antiepileptic drugs and effect of them on EEG
Week 6Interpretation of ictal EEG patterns
Week 7Artifacts and benign variants
Week 8Evaluation of interictal EEG findings
Week 9The semiological features and electroclinical correlations of seizures on video recordings
Week 10Indications and features of preoperative long term EEG monitoring in different stiuations other than epilepsy (like spreading depression studies)
Week 11Technical and medical problems during recording of peroperative corticography in operating room and criteria of recordings
Week 12The definition of EEG patterns recorded during peroperative electrocorticography
Week 13Functional mapping for speech and motor area during preoperative electrocorticography
Week 14Functional mapping during peroperative electrocorticography
Week 15General Test Preparation
Week 16General Examination

Assesment methods

Course activitiesNumberPercentage
Attendance1410
Laboratory00
Application1410
Field activities00
Specific practical training00
Assignments110
Presentation140
Project00
Seminar110
Midterms00
Final exam110
Total50
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 1 14
Laboratory 0 0 0
Application14684
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
Presentation / Seminar Preparation14570
Project000
Homework assignment14040
Midterms (Study duration)000
Final Exam (Study duration) 15050
Total Workload58107328

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Graduates of this program will have knowledge about the clinical neuro-electrophysiology. They will be able to make applications, seminars and courses, follow research and innovations at this scientific field.  X  
2. Graduates of this program are capable of developing new projects and they will have theoretical knowledge and skills to evaluate the new projects in the field of neuro-electrophysiology.    X
3. Graduates of this program will learn interpretation of the EEG both at children and adults. They will have theoretical and practical knowledge about the he basic applications of EEG and activation methods and EEG monitoring    X
4. Graduates of this program will have theoretical and practical knowledge about nerve conduction techniques, needle electromyography, single fiber EMG, repetitive nerve stimulation, evoked potentials and autonomic tests. They are capable of performing this techniques and evaluating the results, and take on the responsibility of these applications in a stand-alone laboratory studies X    
5. Graduates of this program will have knowledge about device used in neuro-electrophysiology and indications for the use and can use them.    X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest