FIRST SEMESTER – Master Neuroscience in Athens https://masterneuroscience.gr Official master-class website on neuroscience field in athens EKPA university Thu, 18 Dec 2025 19:44:23 +0000 en-US hourly 1 https://wordpress.org/?v=7.1.3 https://masterneuroscience.gr/wp-content/uploads/2024/02/Lono_new_light.svg FIRST SEMESTER – Master Neuroscience in Athens https://masterneuroscience.gr 32 32 Research Training Exercise (Laboratory Rotation) – Technical Courses I https://masterneuroscience.gr/course/research-training-exercise-laboratory-rotation-technical-courses-i/ Fri, 02 Feb 2024 10:00:06 +0000 https://masterneuroscience.gr/?post_type=course&p=10469 Continue Reading Research Training Exercise (Laboratory Rotation) – Technical Courses I]]>

Teaching hours

This is a 1st semester course of about 8 weeks that corresponds to 10 ECTs and 39 total hours of lectures and approximately 320 total hours of laboratory presence/training.

The course is subdivided into the following parts:

  • Technical courses I: Methodological approaches in Neuroscience, Statistics (SPSS, R programming, graphpad)
  • Technical courses II: Molecular Biology-Omics
  • Technical courses III: Methodological approaches in Neuroscience, Elements of Bioinformatics (big data bases)

Co-ordinators

  • Nikos Fyllas

Assistant Professor, Department of Biology, National and Kapodistrian University of Athens

  • Spiros Efthimiopoulos Ph.D

Professor, Department of Biology, National and Kapodistrian University of Athens

Description:

This course is intended to cover the basic statistical principles usually applied in the biological sciences. The goal of the course is to provide the students with the ability to choose and apply the appropriate statistics for their studies.

Course Overview

The course will begin with an analysis of the hypothesis test, a statistical test used to compare two data sets for the purpose of rejecting a null hypothesis and not to indicate the more likely of two hypotheses. The students will also be introduced in the process of randomization, of making something random, for example on how to select a random sample of a population. In addition, the course will provide detailed information on some of the most commonly used distributions and an analysis of the central limit theorem which establishes that the sum of independent random variables tends toward a normal distribution although the original variables may not. Time will be allocated in the presentation of parametric and nonparametric tests and their comparison in order for the students to understand the prerequisites for applying one or the other. Special attention will be given to the multiple comparison problems and means to overcome it. The problem arises from the fact that when you are performing multiple statistical tests a fraction of them is false positives. The application of Linear, Logistic and Cox models will be also presented.

Technical Courses I: Methodological approaches in Neuroscience, Statistics (SPSS, R programming, graphpad)

Description:

This course is intended to cover the basic statistical principles usually applied in the biological sciences. The goal of the course is to provide the students with the ability to choose and apply the appropriate statistics for their studies.

Course Overview

The course will begin with an analysis of the hypothesis test, a statistical test used to compare two data sets for the purpose of rejecting a null hypothesis and not to indicate the more likely of two hypotheses. The students will also be introduced in the process of randomization, of making something random, for example on how to select a random sample of a population. In addition, the course will provide detailed information on some of the most commonly used distributions and an analysis of the central limit theorem which establishes that the sum of independent random variables tends toward a normal distribution although the original variables may not. Time will be allocated in the presentation of parametric and nonparametric tests and their comparison in order for the students to understand the prerequisites for applying one or the other. Special attention will be given to the multiple comparison problems and means to overcome it. The problem arises from the fact that when you are performing multiple statistical tests a fraction of them is false positives. The application of Linear, Logistic and Cox models will be also presented.

Technical courses II: Molecular Biology-Omics

Description:

These series of lectures will provide

  • an overview of Next Generation Sequencing (NGS) and the most relevant biomedical NGS applications: Targeted sequencing, Whole-exome sequencing, Whole-genome sequencing, RNA-seq (mRNA-seq, smallRNA-seq, etc., approaches to study RNA structure and RNA-protein interactions), approaches to interrogate the composition and structure of chromatin (ChIP-seq, ATAC-seq, chromosome conformation capture techniques, etc.).
  • an introduction to proteomic methodologies and their application to the study of human diseases.
  • an introduction of the significance but also the challenges of applying metabolomic analysis in neurophysiology research. The students will be presented with the major changes in the way problems in life sciences are now approached in the context of the systems biology and the omic analyses revolution, focusing on brain research and the field of systems neurophysiology. The muti-step metabolomic analysis will be described and its contribution to the reconstruction of an accurate metabolic physiology map for the brain will be discussed. Experimental and computational protocol standardization challenges that need to be addressed for its vast deployment in neurophysiology research and practice will be described. An example of brain metabolomic analysis in a mouse model will be presented.
  • Examples of genetic and biochemical approaches to develop agents interfering with protein aggregation. Many neurodegenerative diseases are associated with protein misfolding and protein self-assembly, which lead to the formation of protein oligomers and/or higher-order aggregates with neurotoxic properties. Thus, understanding these pathogenic processes is of fundamental importance for neurobiology. Furthermore, chemical and biological agents interfering with protein aggregation are much sought-after factors in the quest for effective drugs against these conditions.

Course Overview

The course will cover basic principles of NGS technologies, description of the omic analysis revolution and the consequent fundamental changes in the way problems in life sciences are now approached, mass spectrometry and applications involving differential proteomics, identification of post-translational modifications and analysis of protein complexes as well as of metabolomics. Description of the multi-step experimental and computational analysis process that needs to be carefully designed and standardized for its accurate and vast application in neurophysiology research.

Furthermore, biochemical, biophysical and biological assays, which can be utilized for high-throughput screenings of chemical and biological libraries so as to discover modulators of protein aggregation will be described. Furthermore, the design, development and outcomes of recently developed biotechnological platforms for producing chemical libraries with greatly expanded diversities and for identifying chemical rescuers of pathogenic protein misfolding and aggregation in an ultrahigh-throughput fashion will also be covered. 

Skills & Learning Outcomes

The objective will be to familiarize students with

  • the principles underlying NGS and the main biomedical applications in which NGS is employed
  • the experimental design of proteomic experiments and current challenges in their application to the study of human diseases
  • the holistic perspective of biological system analysis gained from systems and network biology research and shown the complementary role of the various omic analyses in deciphering the complexity of brain function
  • metabolomic analysis and it’s various experimental and computational components
  • network reconstruction and how this could contribute to the elucidation of brain metabolic physiology and the reconstruction of the entire brain connectome
  • the experimental and computational challenges that need to be considered for accurate application of metabolomics in brain research
  • state-of-the-art high-throughput approaches for monitoring neurodegeneration-associated protein aggregation and for identifying chemical and biological inhibitors of these processes
  • recently developed biotechnological approaches for the discovery of chemical rescuers of protein misfolding and aggregation with potentially therapeutic effects against major neurodegenerative diseases

Technical courses III: Methodological approaches in Neuroscience, Elements of Bioinformatics (big data bases)

Description:

This is an intensive two and a half week course focused on computational analysis and robust interpretation of molecular data streams, generated by a broad spectrum of high-throughput experimental technologies, termed as -omics.  Overall these technologies revolutionize the landscape of modern biological research, enabling adoption of holistic approaches in the study and modification of biological mechanisms, yet their efficient integration in the discovery cycle entails great challenges, due to their immense complexity. The derivation of the instrumental molecular networks, behind disease emergence and progression, requests the intelligent utilization of powerful, computational strategies, in order to single out of the millions of biological measurements, those pivotal for the disease interrogated. Moreover, it is crucial to prioritize the important cellular events, in order to be able to propose a rational, combinatorial therapeutic approach, targeting these events, with novel combinations of compounds. In this direction, the various pillars of computational analysis that aid efficient and robust integration, analysis and interpretation of high-dimensional, omic data, potentially from multiple layers of dissection (cross-omics) will be examined, as well as the respective experimental technologies they support.

Course Overview

Ultimate goal of this intensive course is that students are gaining familiarization with this broad pool of experimental technologies, under the umbrella of -omics, together with the various sorts of bio-informatic analytical algorithms and workflows, deployed at different stages and for different data-types. In addition, emphasis will be given in the meaningful integration and robust functional interpretation, in terms of the active emergent molecular modules that shape the phenotypic landscape of the biological problem interrogated, as well as the reliable association of molecular with phenotypic markers. The course will review the application of these concepts in the field of epidemiological stratification, pharmacogenomics analysis and personalized medicine. 

Topics to be discussed will cover

  • Next generation sequencing technologies, providing an introduction coupled by an overview of the main Next Generation sequencing methodologies (Gen-Seq, Exome seq, RNA- Seq, ChIP-Seq, etc), from the point of view of the computational analysis (de-novo / Reference Genome-based Assembly, Filtering, Signal Estimation, Differential Expression, Statistical Selection, Variant Calling)
  • Microarray technologies and their processing (background correction, signal estimation, normalization, filtering and statistical selection)
  • Bioinformatic methodologies for multi-layered structural and functional characterization of nucleotide and aminoacid sequences (homology based screening, ORF and gene function prediction, taxonomic and phylogenetic analysis, protein domain analysis, machine learning for functional characterization of proteins, regulatory motif analysis, hot-spot prediction, metagenomic screening)
  • Translational, integrative bioinfomatic analysis of omic datasets, which highlight the critical biological processes implicated in the biological problem interrogated (integrative methodologies, enrichment statistics, ontologies and controlled vocabularies, resampling based correction, gene set analysis, pathway prioritization, pharmacogenomic knowledgebases)
  • Target prioritization and diagnostic stratification discussing the methodologies for the inference of small-sized, highly informative signatures for diagnostic classification, pharmacogenomic analysis, combinatorial treatment (semantic networks, interaction networks, network inference and analysis, derivation of molecular signatures, classification and clustering methodologies, machine learning techiques)

Skills & Learning Outcomes

Upon successful completion of this course, students will be able to define, describe and discern critical functional features of:

  • the main Next Generation Sequencing Methodologies and their fundamental computational steps.
  • the current state-of-the-art microarray technologies, popular platform configurations for various omic experimental designs, and the requisite algorithmic processing steps.
  • the main structural bioinformatic algorithmic tools that are available for the analysis and functional characterization of nucleotide and aminoacid sequences.
  • various molecular enrichment, gene set and pathway analysis tools / platforms.
  • Network based methodologies for target prioritization, connectivity with drug-related databases, geometric estimation of complexity (Principal Component Analysis) supervised (machine learning, Linear discriminant analysis, PLS) and unsupervised (clustering) classification of phenotypic categories

Titles of lectures and names of the lecturers

A/A

TECHNICAL COURSES: Statistics, Molecular Biology, Bioinformatics

Lecturers

1

Comparing means, one- and two- sample tests (parametric and non-parametric), ANOVA, Confounding variables: presence and control of confounding effects

Nikos Fyllas

2

Correlational designs, Correlation and Regression, Multiple Linear Regression

Nikos Fyllas

3

Random variables and Probability Distributions, Descriptive statistics, Framing and Testing Hypotheses, Meaning of statistical significance, R overview

Nikos Fyllas

4

High throughput assays-amyloid disassembly or prevention of protein aggregation

George Skretas

5

Next Generation Sequencing and its applications in Biomedicine. Genomics

Pantelis Hatzis

6

Next Generation Sequencing and its applications in Biomedicine. Genomics

Pantelis Hatzis

7

Next Generation Sequencing and its applications in Biomedicine. Genomics

Pantelis Hatzis

8

Proteomics

George Panayotou

9

Data Analysis and Results Visualization in Proteomics

Martina Samiotaki

10

Introduction to Bioinformatics, Biological Data Types, Biological Repositories, Querying Biological Databases, sequence analysis, sequence-structure-function, taxonomic/phylogenetic analysis

E. Pilalis-Fani Gkotsi

11

Analysis of Biological signals (Microarrays/ Next Generation Seq technologies), types of biological signals and workflows, processing steps

E. Pilalis-Fani Gkotsi

12

Signature mediated interpretation, stratification, machine learning, precision medicine

E. Pilalis-Fani Gkotsi

13

Protein and DNA Sequence Analysis

I. Michalopoulos

]]> Developmental Neuroscience https://masterneuroscience.gr/course/developmental-neuroscience/ Wed, 03 Jan 2024 10:27:01 +0000 https://masterneuroscience.gr/?post_type=course&p=10475 Continue Reading Developmental Neuroscience]]>

Teaching hours and weekly schedule

This is a 1st semester course of about 2.5 weeks that corresponds to 5 ECTs and 39 hours of lectures including student presentations.
The course will take place in October-November and the weekly schedule includes about 4 hours of teaching per day every afternoon.

Co-ordinators

  • Rebecca Matsas, Research Director, Head of Department of Neurobiology, Hellenic Pasteur Institute
  • Panagiotis Politis, Principal Investigator, Biomedical Research Foundation of the Academy of Athens

Description:

This is an intensive 2.5-week course focused on cellular, molecular and biochemical aspects of developmental neurobiology and neuroscience. The courses will include lectures by established researchers with diverse and complementary academic profiles. The main emphasis of the course will be on the complex cellular events and signaling cascades that occur during embryogenesis that lead to generation of the nervous system. Our goal is to provide a systematic introduction to the molecular mechanisms that control cell fate specification, differentiation, and function of neural cells during mammalian brain development. An additional aim is to discuss nervous system plasticity in the adult brain and particularly how the presence of adult neural stem cells may contribute to brain repair strategies. Special attention will be given to describe the key methodological advances and research tools, developed in the last few years, which have changed our view about the formation of the mammalian brain. Therefore, this course will provide a contemporary overview of neural development for post-graduate students with some background in cell biology.

Course Overview

This course aims: a) to introduce participants to the major issues of developmental neuroscience, b) to familiarize students with the wide range of research approaches, tools and methodology currently used to study the development of the mammalian nervous system, c) to discuss the concept of neural stem cells during development and in the adult and d) to encourage students to develop the skills required for a meaningful appreciation of experimental strategies and research articles.

This course will cover recent advances in understanding the molecular and cellular events underlying cell fate specification and differentiation, migration, axon guidance, synapse formation, the critical role of neurotrophic factors, and cell death as a developmental process. Pathologies arising from failures of these processes will be discussed. In particular, the lectures will cover the following general subjects:

  • Neural Induction            
  • Neural tube formation and patterning
  • Cortical & Cerebellar Neurogenesis
  • Regulatory mechanisms of cell cycle progression/exit
  • Neuronal migration and differentiation
  • Axon Guidance & Adhesion Molecules
  • Trophic factors and programmed cell death during nervous system  development
  • Synapses: formation, function and plasticity
  • Development of neural circuits
  • Development of the neuroimmune system
  • Gliogenesis, myelination, remyelination
  • Neural stem cells, adult neurogenesis & neuroregeneration
  • Advanced Methods in Developmental & Regenerative Neurobiology

Titles of lectures and names of the lecturers

A/A

Developmental Neuroscience

Lecturer

1

Neural Induction / Neural tube formation and patterning

Panos Politis

2

Cortical Neurogenesis

Myrto Denaxa

3

Cerebellar Neurogenesis, Adult Neurogenesis, Modeling human brain development and disease “in a dish

Rebecca Matsas

4

Gliogenesis & myelination

Florentia Papastefanaki

5

Axon Guidance & Adhesion Molecules

Maria Gaitanou

6

Development of neural

circuits and plasticity

Laskaro Zagoraiou

7

Synapse: formation and

function

Nondas Doxakis

8

Development of the neuroimmune system

Era Taoufik

9

Trophic factors and programmed cell death during nervous system development

Giannis

Charalampopoulos

10

Advanced methods in developmental & regenerative neurobiology

Myrto Denaxa

11

Environmental and hormonal regulation of neurodevelopment

Giasemi Koutmani

12

Evolutionary perspectives of human cortical development

Christina Kyrousi

]]> Cellular and Molecular Neuroscience https://masterneuroscience.gr/course/cellular-molecular-neuroscience/ Tue, 02 Jan 2024 10:27:12 +0000 https://masterneuroscience.gr/?post_type=course&p=10476 Continue Reading Cellular and Molecular Neuroscience]]>

Teaching hours and weekly schedule

Teaching hours and weekly schedule. This is a 1st semester course of about 2.5 weeks that corresponds to 5 ECTs and 39 total hours of lectures including student presentations.

Co-ordinators

  • Dimitra Mangoura, Professor-Investigator A, Biomedical Research Foundation of the Academy of Athens
  • Zafiroula–Iro Georgoussi, Research Director, National Center for Scientific Research “Demokritos”, Athens

Description:

This course is designed to introduce graduate students to major processes, principles, and mechanisms associated with Cellular and Molecular Neurobiology. Therefore the material will range from the mechanistic details of neuronal signaling and cellular function to how such properties utilized during normal brain function and neuropathology or substance abuse. The Course involves a series of overview lectures by leading researchers in the field, a total of fifteen Instructors from Greece and across Europe, and opportunities of presenting primary research or literature review papers by students.
More specifically, this Course will include the following major topics: overview of the neuron as the fundamental unit; cell biology of neurons and glia; ion channels and electrical signaling; synaptic transmission, integration, and chemical systems of the brain; molecular properties of neurotransmitters and their receptors; and sensory systems, from transduction to perception. Students will emerge with a great awareness of how individual nerve cells function, and neurons communicate with other cells, and of the ways that neurotransmission can provide insight into basic scientific questions, all in preparation for students own contributions as neuroscientists and biologists.

Course Overview

This is a comprehensive introductory course in Molecular and Cellular Neuroscience. Basic principles of organization and function of the nervous system will be discussed and frequent reference will be made to pathophysiology of neurological and other disorders.

  • General principles of Nervous System            
  • Synaptic Transmission, Neurotransmitters and their Receptors
  • Molecular Aspects of Neuronal Cells

Skills & Learning Outcomes

Upon successful completion of this course, students will be able to know the fundamental principles on:

  • Neural cell biology
  • Synapse formation and neural plasticity
  • Intracellular trafficking and cytoskeleton-related processes
  • Interconnections to form nerve circuits for the passage of electric signals
  • Small molecules coupling to their cognate membrane receptors to regulate intracellular responses and biological outcomes
  • Major intracellular signalling pathways
  • Molecular biology of the sensory systems
  • Energy brain metabolism
  • Titles of lectures and names of the lecturers

Titles of lectures and names of the lecturers

A/A

Cellular and Molecular Neurobiology

Lecturer

1

Overview of the Nervous System

Mimika Mangoura

2

Cell Membrane Structures and Functions

Mimika Mangoura

3

The cytoskeleton of neural cells

Mimika Mangoura

4

Intracellular Trafficking

Mimika Mangoura

5

Axonal transport

Mimika Mangoura

6

Protein synthesis and posttranslational modifications

Mimika Mangoura

 

Synaptic Transmission and Signalling

 

7

Neurotransmitters, Receptors, G proteins

Iro Georgoussi

8

Effectors, signaling intermediates, drug design

Iro Georgoussi

9

Neurobiology of addiction

Katia Befort, France

10

Neurotransmitters II: Gas neurotransmitters

Spiros Efthimiopoulos

11

Neurotransmitters I: Cannabinoid receptors

Ismael Galve-Roperh, Spain

12

Phosphoinositides

George Leondaritis

12

Neurotransmitters III: GABA

Haralambos Lambrakakis

12

Neurotransmitters V: Peptide neurotransmitters

Iro Georgoussi

13

Neurotransmitters IV: Acetylcholine

Marios Zouridakis

 13

Neurotransmitters V: Glutamate

Kostas Pallikaras

17

Neurotransmitters VI: Catecholamines

Kostas Vekrellis

17

Ca2+ signaling and Homeostasis

Panagiota Papazafiri

]]> Neurophysiology https://masterneuroscience.gr/course/neurophysiology/ Tue, 21 Nov 2023 14:23:59 +0000 https://masterneuroscience.gr/?post_type=course&p=10465 Continue Reading Neurophysiology]]>

Teaching hours and weekly schedule

This is a 1st semester elective course of about 2,5 weeks that corresponds to 5 ECTs and 39 total hours of lectures including student presentations..

Co-ordinators

  • Irene Skaliora, Professor of Neuroscience and Cognitive Science, Department of History and Philosophy of Science, National & Kapodistrian University of Athens and Biomedical Research Foundation of the Academy of Athens.
  • Christos Consoulas, Associate Professor of Experimental Physiology, Laboratory of Physiology, Medical School of Athens, National & Kapodistrian University of Athens.

Description:

This 2,5-week course will focus on cellular and molecular neuroscience. It will cover the mechanisms that operate to regulate neuronal excitability, dendritic and synaptic function; plasticity and neural circuits. This is an intensive course focused on cellular neurophysiology. The main aim of the course is to understand the principles of signal generation, modulation and transmission, both at the cell and circuit level.

Learning Resource
Kandel ER, Schwartz JH, Jessell, TM, et al. Principles of Neural Science 5th Edition (2012). McGraw-Hill NY. ISBN 0071390111

Course Overview

  • Introduction lecture
  • Ion channels
  • Membrane potential, Nernst Equation, Goldman Equation
  • Electrotonic potential
  • Passive membrane properties
  • Action potential
  • Na+, K+, and Ca++ channels and currents
  • Mechanisms of pre-synaptic release
  • Synaptic transmission - ligand gated and G-protein synaptic transmission
  • Neuromuscular Junction
  • CNS synaptic transmission 1- excitation Glutamatergic
  • CNS synaptic transmission 2- inhibition - GABAergic and Glycinergic
  • CNS synaptic transmission 3- synaptic integration.
  • Neural Circuits: methods of recording and analysis
  • Modulation of Neural Circuits

Titles of lectures and names of the lecturers

A/A

Neurophysiology

Lecturer

1

Cellular excitability, capacitance, input resistance, resting and action potentials, cable theory, voltage clamp

Christos Consoulas

2

NMJ & Quantal Release

Christos Consoulas

3

Central Synapses: Excitatory and inhibitory, short and long term plasticity, paired pulse facilitation & depression, LTP/LTD

Irene Skaliora

4

Neurophysiology of brain networks: methods of recording and analysis

Irene Skaliora

5

Calcium channels in synapses

Carsten Duch

6

 

 

7

 

 

]]> Gross and Microscopic Anatomy of the Nervous System https://masterneuroscience.gr/course/gross-microscopic-anatomy/ Fri, 17 Jun 2022 12:35:28 +0000 https://coachfocus.qodeinteractive.com/?post_type=course&p=5300 Continue Reading Gross and Microscopic Anatomy of the Nervous System]]>

Teaching hours and weekly schedule

This a 1st semester course of about 2.5 weeks that corresponds to 5 ECTs and 39 total hours of lectures.

Co-ordinators

  • Maria Panayotacopoulou

Professor of Neurobiology, 1st Psychiatric Clinic, Medical School of the National & Kapodistrian University of Athens

  • Anastasia Tsingotjidou

Assistant Professor, School of Veterinary Medicine, Aristotle University of Thessaloniki

  • Dimitris Mytilinaios

MD, PhD, Medical Examiner, Medical School of the National & Kapodistrian University of Athens

Description:

This is an intensive three-week course focused on neuroanatomy that includes lectures and laboratory sessions.  All material will focus primarily on learning the structure of the nervous system with a related focus on function for general neuroscientists.  Special attention will be given to chemical neuroanatomy in order to identify and describe the neurotransmitter systems of the brain and their connections. The goal of this intensive course is that students become well-versed in the structure and function of the nervous system in health and disease. Hands-on laboratory sessions will allow students to learn through direct experience.

Course Overview

Interdisciplinary study of the nervous system, with the overarching theme that nervous system disorders can be understood in terms of neuroanatomical mechanisms.  The course covers general principles of the development, connectivity, neurotransmitter and receptor systems, blood supply, central nuclei and tracts of the central nervous system.
  • Major topographical features of the brain
  • Describe the major anatomical subdivisions and functions of cerebral cortical systems
  • Major interrelationships between primary brain structures
  • Localize and identify brainstem nuclei
  • Localize and identify brainstem tracts
  • Localize and identify major somatomotor systems
  • Localize and identify major somatosensory systems
  • Localize and identify central sensory systems (visual, auditory and vestibular pathways)
  • Localize and understand cranial nerves
  • Understand and localize hypothalamic subnuclei and autonomic systems
  • Understand and localize the limbic system and diencephalon
  • Understand and localize the basal ganglia
  • Localize and identify the blood supply of the brain, the ventricular system and meninges
  • Understand the basic immunohistochemical methodology that permits the localization of neurons on the basis of their neurotransmitter expression
  • Understand the basic concept of in situ hybridization for the study of gene expression in chemically identified neurons that permits the molecular investigation of the nervous system in health and disease.

Skills & Learning Outcomes

Interdisciplinary study of the nervous system, with the overarching theme that nervous system disorders can be understood in terms of neuroanatomical mechanisms.  The course covers general principles of the development, connectivity, neurotransmitter and receptor systems, blood supply, central nuclei and tracts of the central nervous system.

  • Describe and identify the components of the nervous system and the sensory organs.
  • Identify the structures of the brain, spinal cord and peripheral nervous system.
  • Describe the relationship of the structure of the nervous system to its functions: movement, sensory systems- basic functions of a living organism.
  • Describe the relationship of the structure of the nervous system to its functions: movement, sensory systems- basic functions of a living organism.
  • Describe and identify the structure and functions of the autonomic nervous system and the cranial nerves.
  • Relate the chemical and molecular anatomy of the nervous system to clinical syndromes and diseases.

Titles of lectures and names of the lecturers

A/A

Gross and Microscopic Anatomy of the Nervous System       

Lecturer

1

White matter Tractography

Foteini Christidis

2

Topographic anatomy of the cerebral cortex-functional mapping

D.Mytilineos

3

Functional Neuroanatomy of Cognition 

N. Foroglou

4

Structures and Mechanisms of Language

C. Potagas

5

Hypothalamus and the pituitary gland

M. Panayotacopoulou

6

Structure and function of the limbic system

K.Tsamis

7

Brain Stem and Cerebellum

D. Mytilinaios

8

Thalamus

D. Mytilinaios

9

Basal Ganglia

M. Xilouri

10

Spinal Cord and pathways (+ autonomic NS)

A.Tsingotjidou

11

Hearing and balance

E. Anagnostou

12

Chemical and Molecular Neuroanatomy/ Electron Microscopy

M.Panayotacopoulou,       M. Chrysanthou

13

Vision and Visual Cortex (+ plasticity)

E. Skaliora

14

Microscopic Anatomy of the Human brain

M. Panayotacopoulou,  M.Chrysanthou

15

Gross and Microscopic Anatomy of the rodent brain

A. Polysidi/ M.Xilouri

16

Comparative Neuroanatomy (pig, sheep, rodents)

C. Bekiari/A.Tsingotjidou

 

 

 

]]>