Course Identification

From bedside to bench: Clinical neuroscience for basic scientists
20223422

Lecturers and Teaching Assistants

Prof. Itzhak Fried , Prof. Hagai Bergman, Prof. Arieh Shalev, Prof. Gil Zalsman
N/A

Course Schedule and Location

2022
Second Semester
Wednesday, 14:15 - 16:00
30/03/2022
31/08/2022

Field of Study, Course Type and Credit Points

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

Comments

Schedule - TBA

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

Examination

Scheduled date 1

N/A
N/A
-
N/A

Scheduled date 2

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. In selected cases visits may be arranged to clinics and to the operating room. Lectures 2-13 may not be presented in that order. 

Lecture 1: Introduction to Clinical Neuroscience: Neurological examination and diagnostic tools in clinical neuroscience 

Lecture 2: Epilepsy and epilepsy surgery

Lecture 3: Movement Disorders and Parkinson's Disease

Lecture 4: Dementias including Alzheimer's Disease

Lecture 5: Animal Models of CNS Diseases

Lecture 5: Neurovascular Disorders

Lecture 6: Depression

Lecture 7: Obsessive-Compulsive Disorder

Lecture 8: Post Traumatic Stress Disorder and Stress responses

Lecture 9: Pain Syndromes and Addiction

Lecture 10: Consciousness in Clinical Neuroscience

Lecture 11: Sleep medicine

Lecture 12: Case studies in neurotechnology

Lecture 13: Neuromodulation, brain-machine interfaces and the symbiosis of brains and artificial intelligence

Lecture 14: Research Opportunities using invasive recordings and stimulation in neurosurgical patients

Learning Outcomes

1. Understand the approach to the patient with a 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 a 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