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| Morning |
| Topics: |
| .° Generators of EEG rhythms. |
| ° Background EEG as a reflection of cortical self
regulation. |
| ° What does clinical EEG mean? |
| ° Pathological EEG patterns (slow waves, spikes,
paroxysms….) in epilepsy, brain tumors, and some other
brain disorders. |
| ° Mapping potentials |
| ° Generating Slow Resolution
Electromagnetic Tomography (LORETA and s-LORETA) from
the spectral maps. |
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| The aim is teach attendees the foundations
of clinical EEG, namely: 1) neuronal basics of brain
rhythms 2) methods of recording and montaging, 3) how
to distinguish non-EEG artifacts from EEG records, 4)
to correct artifacts using available software, 5) to
distinguish pathological EEG patterns by means of visual
inspection as well as by means of automated tools. 6)
to use brain maps and s-LORETA imaging for depicting
the data. |
| Procedure: lecture (power point presentation
is supplied), practice with EEG records on healthy subjects
and patients from the HBI database (software and EEG
files are supplied). |
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| Afternoon |
| Topics: |
| ° recording EEG in
resting state (eyes open, eyes closed, hyperventilation)
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| ° visual inspection
of the EEG recording |
| ° artifact correction |
| ° automated spike detection. |
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| the aim is to teach attendees: 1) to place
electrodes on the patients head according to 10-20 system,
2) to start, end and store an EEG recording, 3) to be
able to use the built-in database to manage the datasets,
4) to remontage the recording. |
| Procedure: the attendees will be divided into
groups. Each group will be supplied with hardware/software
for recording and analysis. One of the attendees will
serve as a subject (to be recorded) while the others
will record. |
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| Morning |
| Topic: |
| ° quantitative EEG
as a method for neuro-metrics |
| ° qEEG-endophenotypes
(biological markers) in the healthy population |
| ° qEEG-endophenotypes
in brain disorders |
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| The aim is to teach attendees
methods of spectral analysis, including 1) Fourier and
wavelet transformations, 2) coherence, 3) event related
de-synchronization, as well as to show how these methods
enable us to reveal 4) QEEG-endophenotypes of brain
disorders such as ADHD, dyslexia, anxiety. |
| Procedure: lecture, practicing with EEG records
on healthy subjects and patients from the HBI database. |
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| Afternoon |
| Topic: |
| ° Spectral and coherence analysis
of EEG recorded on the first day |
| ° Comparing spectral
characteristics of recorded EEG with the normative data
of the HBI reference database. |
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| the aim is to teach attendees: 1) to remontage
the recording into the HBI database montage, 2) to perform
spectral and coherence analysis, 3) to compare the results
of the analysis with the HBI database, 4) to interpret
the results. |
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| Procedure: the attendees will be divided into
groups. Each group will be supplied with software for
analysis of the EEG of the group. Spectra, coherence,
theta/beta ratios, asymmetry maps for EEGs recorded
in the first day will be computed and analyzed. |
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Third
Day.
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| Morning |
| Topics: |
| ° Event related potentials
(ERPs) as markers of stages of information flow in the
brain. |
| ° Association of ERP
components with functioning of brain systems. |
| ° Reflection of dysfunctioning
of brain systems in ERPs components. |
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The aim is to teach attendees methods of Event
Related Potentials, including 1) averaging technique,
2) Independent Component Analysis (ICA), 3) to show
the discriminative power of ERPs in ADHD, dyslexia
and traumatic brain injury etc.
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| Procedure: lecture, practicing with EEG records
on healthy subjects and patients from the HBI database. |
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| Afternoon |
| Topic: |
| ° Recording of EEG
in a Visual Contingent Performance Task (VCPT). |
| ° Preprocessing
EEG |
| ° Computing ERPs by
averaging techniques |
| ° Comparison behavioral
of parameters (omission and commission errors, latencies
and variances of responses) with the normative data
of the HBI database |
| ° Comparison of ERPs
with the HBI database |
| ° Comparison of ICA
components of ERPs with the normative data. |
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| The aim is to teach attendees: 1) to use Psytask
software for presenting tasks provided with the HBI
database, 2) to record EEG in one of the tasks (such
as VCPT), 3) to compute ERPs and behavioral parameters,
4) to analyze ERPs visually and to make maps was well
as LORETA images of ERPs components, 5) to compare ERPs
and ERP components with the HBI reference database. |
| |
| Procedure: the attendees will be divided into
groups. Each group will be supplied with hardware/software
for recording and analysis. One of the attendees will
serve as a subject (to be recorded) while the others
will do recording. EEG in the VCPT task will be recorded
and analyzed. |
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Fourth
day.
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| Morning |
| Topics: |
| ° Neurofeedback and
tDCS as tools of neurotherapy |
| ° Neurotherapy for
peak performance in healthy subjects |
| ° Neurotherapy for
correcting cortical dysregulation in brain disorders |
| ° Neurotherapy for correcting
disorders of information flow. |
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| The aim is to teach attendees methods of neurotherapy,
including 1) QEEG-based neurofeedback, 2) s-LORETA neurofeedback,
3) ICA-neurofeedback, 4) ERP-based neurofeedback, 5)
transcranial Direct Current Stimulation, 6) Transcranial
Magnetic Stimulation (TMS). |
| |
| Procedure: lectures, practicing with EEG records
on patients from the HBI database and constructing neurotherapy
protocols. |
| |
| Afternoon |
| Topics: |
| ° Analysis of EEG records
made during the first days. |
| ° Constructing neurotherapy
protocols for peak performance by using the recorded
EEG files. |
| ° Analysis of EEG records
of patients from the HBI reference database. |
| ° Constructing neurotherapy
protocols for treatment. |
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| The aim is to teach attendees to use the HBI
reference databse for construction of protocols for
neurotherapy. |
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| Procedure: attendees will be divided into groups.
Each group will be supplied with an HBI database. The
records made during the first days will be analyzed
and neurofeedback protocols for peak performance will
be suggested. Several records from patients of the HBI
database will be analyzed. |
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