Helen Schmidt: Catalogue data in Spring Semester 2022

Name Dr. Helen Schmidt
Professur f. Transl. Neuromodeling
ETH Zürich, WIL G 203
Wilfriedstrasse 6
8032 Zürich
DepartmentHealth Sciences and Technology

376-1307-00LTranslational Neuroscience
Information for UZH students:
Enrolment to this course unit only possible at ETH.
Please mind the ETH enrolment deadlines for UZH students: Link
3 credits2VJ. Bohacek, K. Gapp, H. Schmidt, further lecturers
AbstractThis course connects the clinical reality of common neuropsychiatric diseases to the underlying brain circuits, and explores the associated basic research efforts to identify disease mechanisms.
ObjectiveBy the end of the course, students will be able to explain how changes in fundamental brain processes can give rise to neuropsychiatric disease. They will have an understanding of the clinical reality of diagnosing and treating such disorders. Ultimately, the students will be able to evaluate how basic research can address clinical needs, and they will be able to explain how preclinical research and treatment options for neurological diseases are linked.
ContentThis course evaluates the clinical and basic research aspects for some of the most vexing neuropsychiatric disorder, including affective disorders (anxiety and depression), Alzheimer’s Disease, Addiction, Attention-Deficit Hyperactivity Disorder and Stress-related disease. Each disorder is presented from a clinical perspective in one lecture, and from a basic research perspective in a corresponding lecture the week after. The students will perform literature research to explore treatment options for a given clinical disorder, put clinical treatments in historic context with basic research and present their findings to their colleagues in class.
Prerequisites / NoticeRequired: Neural Systems for Sensory, Motor and Higher Brain Functions (376-1305-01V / Bio343)
Recommended: Neuroanatomy & Neurophysiology (376-0007-00L)
Recommended: Anatomy and Physiology 1 & 2 (376-0151-00L + 376-0152-00L)
377-0601-00LPsychiatry & Computational Psychiatry Restricted registration - show details
Only for Human Medicine BSc
2 credits2GK. Stephan, H. Schmidt, J. Siemerkus
AbstractThe module Psychiatrie & Computational Psychiatry introduces the most common psychiatric disorders, including etiology, diagnostics and therapy. In addition, under the guidance of a clinician, the students will acquire practical skills for assessing psychopathology in patients. The module concludes with an introduction to concepts and practical applications of Computational Psychiatry.
ObjectiveAfter completing the module “Psychiatrie & Computational Psychiatry”, the students are expected to show proficiency in:
1. Taking a complete psychiatric history
2. Conducting a psychiatric interview based on methods of clinical communication
3. Developing a trustful and unbiased physician-patient contact
4. Conducting a psychopathological assessment according to the AMPD system
5. Knowing the diagnosis criteria according to ICD-10 for common psychiatric disorders
6. Identifying and explaining disorder specific symptoms
7. Knowing disorder specific treatments
8. Knowing the effects, indications and side-effects of psychiatric medications
9. Knowing the basic concepts of psychotherapeutic methods
10. Dealing with one’s own emotions during difficult patient interviews
11. Knowing the basic concepts and methods of Computational Psychiatry
ContentThe module “Psychiatrie & Computational Psychiatry” introduces the most common psychiatric disorders, including their epidemiology, etiology, pathogenesis, symptoms, diagnosis, and treatment. This applies to the following disorders:
- Depressive disorders and bipolar disorders
- schizophrenia spectrum disorders
- autism spectrum disorder
- addiction
- anxiety disorders
- obsessive-compulsive disorder
- dementia
- personality disorders

Additionally, the course conveys knowledge about the most common psychiatric emergencies and their treatments.

Further topics of the module include:
- Introduction to the concepts of ICD and DSM
- Communication and interaction with people with mental disorders
- Psychiatric history
- General and disorder-specific introduction to psychopathology
- Psychopathological assessment (according to AMDP) with focus on:
disorders of consciousness, disturbances of orientation, disturbances of attention and memory, formal thought disorders, worries and compulsions, delusions, disorders of perception, Ego (boundary) disturbances, disturbances of affect, disorders of drive and psychomotor activity, circadian disturbances
- Introduction to Computational Psychiatry, including general concepts and methods (e.g. Bayesian brain theory, mathematical models of brain activity measurements) and computational theories of schizophrenia, autism, psychosomatics, depression, fatigue and mindfulness
Prerequisites / NoticeVoraussetzung:
alle medizinischen und klinischen Module der 1. - 5. Semester