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By-Dr.Ranjeet Singha,PT(MPT in Neurology)
HAAD Licensed
Associate Professor,
College of Physiotherapy and Medical Sciences,
Guwahati,Assam.
Hans Berger (1924)
 When neurons are activated, local currents are produced.
 • EEG measures the current that flow during the excitations
of the
 dendrites of many pyramidal neurons in the cerebral
cortex.
 • Potential differences are caused by summed postsynaptic
 potentials from pyramidal cells that create diploes between
soma
 and apical dendrites.
EEG Acquisition
 Electrode caps, conductive jelly, ruler,
 injection and aid for disinfection.
 • EEG amplifier unit, PC/laptop
 EEG: electrical activity recorded via electrodes
 on the scalp
 High temporal resolution (millisecond scale) and
 low spatial resolution
 Relatively cheap neuroimaging technique
Brief History
 ● Vladimirovich (1912)
 ● first animal EEG study (dog)
 ● Cybulski (1914)
 ● first EEG recordings of induced seizures
 ● Berger (1924)
 ● first human EEG recordings
 ● 'invented' the term electroencephalogram (EEG)
 The greatest advantage of EEG is its temporal
resolution. EEG can determine the relative strengths
and positions of electrical activity in different brain
regions.
 According to R. Bickford (1987) research and clinical
applications of the EEG in humans and animals are
used to: (1) monitor alertness, coma and brain death;
(2) locate areas of damage following head injury,
stroke, tumor, etc.; (3) test afferent pathways (by
evoked potentials); (4) monitor cognitive engagement
(alpha rhythm); (5) produce biofeedback situations,
alpha, etc.;
 (6) control anesthesia depth (“servo anesthesia”); (7)
investigate epilepsy and locate seizure origin; (8) test
epilepsy drug effects; (9) assist in experimental
cortical excision of epileptic focus; (10) monitor
human and animal brain development; (11) test drugs
for convulsive effects; (12) investigate sleep disorder
and physiology.
Neurophysiological Basis of EEG
 Single neuron activity is too small to be picked
 up by EEG
 ● EEG reflects the summation of the synchronous
 activity of many neurons with similar spatial
 orientations
 ● Cortical pyramidal neurons produce most of the
 EEG signal
 ● Deep sources (subcortical areas) are much
 more difficult to detect than currents near the
 skull
Scalp EEG Recordings
Electrode Placement
Comparison for EEG Electrodes
 Standard wet electrodes : low skin impedance, and buffer
the electrode
 against mechanical motion. But, they may be messy, time-
consuming,
 irritating during preparation and cleaning, and the signal quality
degrades
 over time.
 Rigid metal electrodes: subject to motion artifacts
 Dry foam electrode (Gruetzmann et al., 2007): comfortable
and stable with
 increased resistance to motion artifact, but difficult to assess
hair-bearing
 sites.
 MEMS sensors: low skin impedance. But, they may be
irritating and difficult
 to penetrate the hairs.
 Microprobe electrodes: sensitive to motion artifacts.
 Non-contact sensors: sensitive to motion artifacts, poor
settling times.
 Friction between the electrode and insulation can cause large
voltage
 excursion at the sensitive input.
 Epidermal electrodes (Kim eta al., 2011): very comfortable
and stable with
 increased resistance to motion artifact, but difficult to assess
hair-bearing
 sites.
Wearable EEG Devices
Recording EEG Signals
EEG Rhythms
Delta
Theta
Alpha
Beta
 Characteristic EEG rhythms, from the top: delta (0.5–4
Hz),
theta (4–8 Hz), alpha (8–13 Hz), beta (13– 30 Hz).
(
 CAN
 • Precise timing of neural activity
 • Sequence of mental operations
 CANNOT
 • Precise brain location of neural activity

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Electroencephalography (eeg)

  • 1. By-Dr.Ranjeet Singha,PT(MPT in Neurology) HAAD Licensed Associate Professor, College of Physiotherapy and Medical Sciences, Guwahati,Assam.
  • 2.
  • 4.
  • 5.  When neurons are activated, local currents are produced.  • EEG measures the current that flow during the excitations of the  dendrites of many pyramidal neurons in the cerebral cortex.  • Potential differences are caused by summed postsynaptic  potentials from pyramidal cells that create diploes between soma  and apical dendrites.
  • 6. EEG Acquisition  Electrode caps, conductive jelly, ruler,  injection and aid for disinfection.  • EEG amplifier unit, PC/laptop
  • 7.
  • 8.  EEG: electrical activity recorded via electrodes  on the scalp  High temporal resolution (millisecond scale) and  low spatial resolution  Relatively cheap neuroimaging technique
  • 9. Brief History  ● Vladimirovich (1912)  ● first animal EEG study (dog)  ● Cybulski (1914)  ● first EEG recordings of induced seizures  ● Berger (1924)  ● first human EEG recordings  ● 'invented' the term electroencephalogram (EEG)
  • 10.  The greatest advantage of EEG is its temporal resolution. EEG can determine the relative strengths and positions of electrical activity in different brain regions.
  • 11.  According to R. Bickford (1987) research and clinical applications of the EEG in humans and animals are used to: (1) monitor alertness, coma and brain death; (2) locate areas of damage following head injury, stroke, tumor, etc.; (3) test afferent pathways (by evoked potentials); (4) monitor cognitive engagement (alpha rhythm); (5) produce biofeedback situations, alpha, etc.;
  • 12.  (6) control anesthesia depth (“servo anesthesia”); (7) investigate epilepsy and locate seizure origin; (8) test epilepsy drug effects; (9) assist in experimental cortical excision of epileptic focus; (10) monitor human and animal brain development; (11) test drugs for convulsive effects; (12) investigate sleep disorder and physiology.
  • 13. Neurophysiological Basis of EEG  Single neuron activity is too small to be picked  up by EEG  ● EEG reflects the summation of the synchronous  activity of many neurons with similar spatial  orientations  ● Cortical pyramidal neurons produce most of the  EEG signal  ● Deep sources (subcortical areas) are much  more difficult to detect than currents near the  skull
  • 16.
  • 17. Comparison for EEG Electrodes  Standard wet electrodes : low skin impedance, and buffer the electrode  against mechanical motion. But, they may be messy, time- consuming,  irritating during preparation and cleaning, and the signal quality degrades  over time.  Rigid metal electrodes: subject to motion artifacts  Dry foam electrode (Gruetzmann et al., 2007): comfortable and stable with  increased resistance to motion artifact, but difficult to assess hair-bearing  sites.
  • 18.  MEMS sensors: low skin impedance. But, they may be irritating and difficult  to penetrate the hairs.  Microprobe electrodes: sensitive to motion artifacts.  Non-contact sensors: sensitive to motion artifacts, poor settling times.  Friction between the electrode and insulation can cause large voltage  excursion at the sensitive input.  Epidermal electrodes (Kim eta al., 2011): very comfortable and stable with  increased resistance to motion artifact, but difficult to assess hair-bearing  sites.
  • 20.
  • 23. Delta
  • 24. Theta
  • 25. Alpha
  • 26. Beta
  • 27.  Characteristic EEG rhythms, from the top: delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13– 30 Hz). (
  • 28.
  • 29.  CAN  • Precise timing of neural activity  • Sequence of mental operations
  • 30.  CANNOT  • Precise brain location of neural activity