Course Identification

From bedside to bench: Clinical neuroscience for basic scientists
20233502

Lecturers and Teaching Assistants

Prof. Itzhak Fried
Michal Andelman Gur

Course Schedule and Location

2023
Second Semester
Wednesday, 11:15 - 13:00, Wolfson Auditorium
19/04/2023
21/07/2023

Field of Study, Course Type and Credit Points

Life Sciences: Lecture; Elective; Regular; 2.00 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): Lecture; Elective; Regular; 2.00 points

Comments

N/A

Prerequisites

No

Restrictions

100

Language of Instruction

English

Attendance and participation

Expected and Recommended

Grade Type

Pass / Fail

Grade Breakdown (in %)

50%
50%

Evaluation Type

Take-home exam

Scheduled date 1

N/A
N/A
-
N/A

Estimated Weekly Independent Workload (in hours)

2

Syllabus

Neurosurgeons, neurologists , psychiatrists and clinical neuroscientists will provide background to the major disorders of the nervous system. Lectures will be accompanied by presentation of clinical cases. Assimilation of neurotechnology to clinical practice will be discussed. Lectures 2-13 may not be presented in that order. 

 

Lecture 1: Introduction to clinical neuroscience

Lecture 2: Clinical epilepsy and epilepsy surgery

Lecture 3: Parkinson's disease

Lecture 4: Alzheimer's disease and other dementias

Lecture 5: Breaking the boundaries in stroke prevention and treatment

Lecture 6: Depression and suicide

Lecture 7: New insights on OCD diagnosis and treatment

Lecture 8: Clinical neuroscience of addiction: the pathway from pleasure to pain

Lecture 9: Post Traumatic Stress Disorder and stress responses

Lecture 10: States of Consciousness; Sleep medicine

Lecture 11: Computational physiology of the basal ganglia and of their disorders and therapy

Lecture 12: Autoimmune neurology: bench and bedside

Lecture 13: Animal models of CNS diseases

Lecture 14: Research Opportunities using invasive recordings and stimulation in neurosurgical patients, including neuromodulation and Brain Machine Interfaces

Learning Outcomes

1. Understand the approach to the patient with neurological or neuropsychiatric disorder

2. Develop familiarity with the basic disorders of the brain encountered in clinical practice

3. Acquire the basis for communication with clinicians and patients with brain disorders

4. Develop basic understanding of the challenges in clinical neuroscience

5. Learn the principles of conducting basic neuroscience in a clinical environment

Reading List

Will be provided during course

Website

N/A