This course takes you on a journey into the exploration of how the brain shapes and enables our social and affective behaviors. We will examine key questions, such as how we learn from each other, when and in what ways social norms influence us, and how our communication and social decision-making unfold. 

This course provides students with in-depth knowledge in the field of digital health from an entrepreneurship perspective. Domains of digital health, needs-based innovation including prototyping, usability and testing as well as data management, intellectual property, reimbursement, business models, ethics and future trends will be discussed and analyzed.

We will investigate mainly fish brains, but also some invertebrate model systems to get on overview of the major differences in neuronal organization between them. Sensory and motor pathways will be compared and pathways will be traced from primary sensory centres through higher integrative centres to motor command areas.

Topic 1: Pharmacologically relevant signalling pathways
Topic 2: Drugs for the treatment of pain: local anaesthetics, opioids
Topic 3: Drugs influencing vigilance: hypnotics, general anaesthetics
Topic 4: Treatment of psychiatric diseases: antipsychotics, antidepressants
Topic 5: Drugs of abuse: opioids, cannabinoids
Topic 6: Neurodegenerative disorders
Methods 1: Drug mechanisms and signalling in neurons
Methods 2: Modulation of neurotransmitter release in brain slices
Methods 3: Standard behavioural tests in drug development - pharmaceutical industry
Methods 4: Development of innovative drugs – gene and cell therapies
Methods 5: Regulatory Affairs

Methodology and Theory of Cognitive Neuroscience:

• Psychology: what makes it a science?
• Experimental strategies: psychophysiology, neuropsychology
• Philosophical implications of cognitive neurosciences

Cognitive Neuroscience: main findings on brain-function relationships

Clinical Neurophysiology and Imaging:

• Electroencephalography (EEG) as a neurodiagnostic tool
• Advanced methods of EEG analysis: coherence, fast Fourier, non-linear and other analysis
• Structural and functional brain imaging as neurodiagnostic tools

Experimental Psychophysiology:

• Electrophysiology: event-related potentials, non-invasive and invasive
• Magnetic resonance tomography: functional neuroimaging (fMRI)

Clinical Neuropsychology:

• Neuropsychological assessment
• Cortical electrostimulation
• WADA test

6. Experimental Neuropsychology

• Animal models of behavioural deficits in epilepsy

The Statistics module covers:

Basic test theory; 2-tests for contingency tables; t-Test; non-parametric tests; analysis of variance (ANOVA); multiple testing; power calculations; calculation rules for probabilities and neurobiological applications; guidelines for choice of analysis strategy; software implementations; effect size based hypothesis testing

The Scientific writing module:

• Introduction into general guidelines and rules for scientific writing
• Introduction into the elements of style
• Analysis and discussion of scientific texts
• How to improve and correct a text
• Practices in writing. Students will write their own texts and correct and make suggestions for improvements of the texts of others

Research ethics module covers:

• Main approaches and methods in current research ethics
• Ethical standards of good scientific practice
• Ethical issues related to research with humans
• Ethical issues related to animals
• Ethical issues related to research with biological material

Why doesn't the mammalian central nervous system (CNS) regenerate while many other tissues do? Which cutting-edge technologies and models are most effective for studying CNS repair? What regenerative strategies can be designed to rebuild such a complex tissue? Led by renowned experts and featuring distinguished international speakers, this course will delve into the intricacies of how the CNS responds to injury at a cellular and molecular level, as well as the most advanced research into regenerative therapies ranging from stem cell-based to gene therapies. The curriculum spans from fundamental research to preclinical development, with a particular focus on state-of-the-art approaches for studying CNS injury, degeneration, and repair.

Selection will be based on:
1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation),
2) start date of doctoral studies (priority given to earlier start date)

Developmental biology lies at the heart of an effort to understanding complex biological systems. By studying how neural circuits are assembled we can extrapolate key aspects of their function as well as devise strategies for their repair. This course is given to deepen the understanding of how molecular and cellular mechanisms underlie neurobiological function and to widen the horizon of students within the strong Karolinska neuroscience community.

Contents of the course: The course will cover the main steps of development from neural stem cells to mature circuits, including the patterning of the neural plate and thus the origin of cell types, the interplay between intrinsic and extrinsic factors, gene regulation including epigenetics, neuro-glia interactions and the role of network activity in shaping the final circuits. Different molecular and tracing technologies, and model organisms will be covered. An important aspect of the course regards molecular technologies for labeling, transcriptional analysis, and genetic manipulation of defined neural populations. Connections between aberrant developmental processes and neurodevelopmental and neurological disorders will be discussed.

Course director

The course is given by four course-leaders: Gonçalo Castelo-Branco, Jens Hjerling-Leffler and Ulrika Marklund all at MBB and François Lallemend at Dept of Neuroscience.