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Unit outline_

CLNP5004: Advanced Electroencephalography

Semester 2, 2021 [Distance education/intensive on campus] - Remote

This unit covers advanced aspects of diagnostic electroencephalography, including the specific technical requirements for continuous video EEG monitoring, seizure recognition during invasive EEG monitoring, current techniques in cortical mapping of seizures and their utility in tailored cortical resection.

Unit details and rules

Academic unit Clinical Neurophysiology
Credit points 6
Prerequisites
? 
None
Corequisites
? 
CLNP5001
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Samantha Soe, samantha.soe@sydney.edu.au
Type Description Weight Due Length
Final exam (Live+ supervised) Type A final exam hurdle task Final exam
Online MCQ
50% Formal exam period 1 hour
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Small continuous assessment Clinical case discussion
Online discussion
15% Multiple weeks 400 words
Outcomes assessed: LO1 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Online task Module quizzes
Online MCQ
10% Multiple weeks 15 minutes each
Outcomes assessed: LO1 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Assignment Short essays
Essay
25% Multiple weeks See Canvas
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
hurdle task = hurdle task ?
Type A final exam = Type A final exam ?

Assessment summary

  • Module quizzes: There will be 8 graded quizzes made up of 10 MCQs. Only one attempt per quiz will be allowed.
  • Short essays: The short essays are designed to help you synthesise and apply the knowledge you have gained
  • Clinical case discussions: The clinical case discussions are designed to help you understand and apply the concepts that underpin the fundamentals of neurophysiology
  • Final exam: The final exam comprises 50 multiple choice questions that require students to select the single most correct response from five options. Students must pass this assessment in order to achieve a minimum passing grade for this unit.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Module 1: Introduction to long-term EEG Monitoring Online class (10 hr)  
Week 02 Module 2: Anaesthetic agents and medication effects on EEG Online class (10 hr)  
Week 03 Module 3: Continuous EEG monitoring in the intensive care unit and emergency department Online class (10 hr)  
Week 04 Module 3: Continuous EEG monitoring in the intensive care unit and emergency department Online class (10 hr)  
Week 05 Module 4: Recording video-EEG in EMU Online class (10 hr)  
Week 06 Module 4: Recording video-EEG in EMU Online class (10 hr)  
Week 07 Module 5: Pre-surgical evaluation with non-invasive EEG Online class (10 hr)  
Week 08 Module 5: Pre-surgical evaluation with non-invasive EEG Online class (10 hr)  
Week 09 Module 6: Intra-operative and extra-operative EEG monitoring Online class (10 hr)  
Week 10 Module 6: Intra-operative and extra-operative EEG monitoring Online class (10 hr)  
Week 11 Module 7: Cortical mapping of epileptiform activity and seizures Online class (10 hr)  
Week 12 Module 7: Cortical mapping of epileptiform activity and seizures Online class (10 hr)  
Week 13 Module 8: Cortical mapping of motor and sensory functional area Online class (10 hr)  

Attendance and class requirements

Attendance requirements: See Canvas for details

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through Canvas.

  • Electroencephalography: basic principles, clinical applications, and related fields / [edited by] Ernst Niedermeyer, Fernando Lopes da Silva.
  • Atlas of video- EEG monitoring (1st ed.). New York: McGraw-Hill Medical. Sirven, J.I., & Stern, J.M.
  • Wyllie's treatment of epilepsy: Principles and practice (6th ed.). Philadelphia: Wolters Kluwer. Wyllie, E., Gidal, B. E., & Ovid Technologies, I. (2015).

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. demonstrate a detailed knowledge of the EEG recording system and the effects of key components on performance of the different types of long-term EEG monitoring
  • LO2. identify various drugs and medications used on patients with epilepsy and their effects on EEG recording
  • LO3. identify and evaluate EEG patterns encountered in ICU and ED department
  • LO4. demonstrate a detailed knowledge of seizure induction methods, appropriate testing of patients during an event for both diagnostic and surgical evaluation of the neurological disorders in EMU
  • LO5. demonstrate how inter-ictal and ictal EEG patterns are used to localise and lateralise the electro-clinical semiology in pre-surgical evaluation of focal/multifocal tumours and epilepsies
  • LO6. recognize the common focal epilepsies studied with invasive EEG monitoring using strips, grids and stereotactic depth electrodes and discuss indications for each technique and their benefits and pitfalls in localisation of seizure source
  • LO7. identify cortical zones and explain the concepts of cortical mapping of seizure focus, and utility of advanced EEG features high frequency oscillations
  • LO8. understand the concept of cortical mapping of eloquent area with electrical cortical stimulation and discuss benefits and limitations between subdural grids and stereotactic depth electrodes.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

We value your feedback about any aspect of the unit of study and your experience as a student of Sydney Medical School. To help ensure our courses meet your needs and maintain a high standard, we welcome your feedback at any time and we ask you to complete the Mid-Semester Evaluation Survey and the unit of study Evaluation Survey at the end of the semester. You can also rate any component of the unit using our star rating system found at the bottom of many pages as you progress through the unit. Your ratings and comments are anonymous and specifying what you liked and didn’t like about any of the learning materials, assessment items, discussion forums, feedback etc will help us to target our improvement efforts. Please note that your participation in this unit of study permits de-identified information about your learning experience and interaction with learning resources to be used for the purpose of improving the student learning experience.

Disclaimer

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To help you understand common terms that we use at the University, we offer an online glossary.