Collura & NFB Flashcards

1
Q

Explain infra-low frequency, and slow-cortical potential 

A

ILS neurofeedback rewards any change in the EEG baseline,

whereas SCP neurofeedback can reward change in a specific direction

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2
Q

Explain DC sensors and signal

A
  1. High-quality DC centers should be made of silver chloride.
  2. Most practical training feedback SCPs instead of raw DC signal.
  3. The Rall, DC offset can help assess the quality of sensor contacts.
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3
Q

A brain dipole can

A
  1. Move
  2. Oscillate and very in time.
  3. Change orientation.
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4
Q

EEG sensors to detect dipoles

A

Between, near, and parallel to sensors

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5
Q

SCP signals, or at least partially generated by

A

Cortical glial cells

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6
Q

A DC EEG signal is converted into SCP by applying a time constant of ________ seconds

A

10–20 seconds

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7
Q

DC and SCP training typically use ________ monitoring in order to ________.

A

Uses monopolar monitoring in order to train up or down shifts

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8
Q

ILF or ISF EEG _________

A

Is detected using an AC – coupled amplifier

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9
Q

Glial cells are mainly concerned with…

A

Overall activation and regulation of brain function

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10
Q

An amplifier must be sensitive down to the ________ Hz to measure DC potentials

A

0.0

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11
Q

The qEEG typically uses sampling rates of ______ samples per second to reduce contamination by 50/60 HZ artifact

A

1024 samples per second

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12
Q

Comodulation measures

A

How signals oscillate together

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13
Q

Coherence

A

Is the amount of information shared by two channels

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14
Q

Phase

A

Measures whether peaks and valleys are correlated

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15
Q

Collura recommends high pass filter orders (5 or 6) for

A

Low frequency (theta & Alpha) training

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16
Q

FFT analysis to calculate signal frequency typically uses bins with a _______ resolution.

A

1HZ

17
Q

How do you FFT & JTFA differ

A

FFT emphasizes data from the middle of the epoch

JTFA emphasizes the most recent data

18
Q

Describe FFT frequency analysis

A
  1. Allows the calculation of percent energy and spectral correlation.
  2. Breaks the EEG signal into component bands like a prism
  3. Measures of frequency at once.
19
Q

Advantages of 24 – bit sampling include

A
  1. 0.1-microvolt resolution.
  2. Excellent dynamic range.
  3. Sampling the DC component of the EEG.
20
Q

The average alpha amplitude, or magnitude shown in an QEEG Report, reflects EEG signal

A
  1. Expression.
  2.  Variation
  3. Magnitude.
21
Q

Peniston’s “deep “protocol used to treat addiction monitors _______, and trains _______.

A

Monitors PZ, and

Trains Alpha and Theta up

22
Q

A z – score measures

A

The number of standard deviations of value is from the mean

23
Q

Multiple inhibit Protocols

A

Stabilize brain function

24
Q

In live Z – score training, the target value in standard deviation depends on

A
  1. Age
  2. Site location
  3. Eyes condition or task condition.
25
Q

A z-score is calculated as

A

Measurements - mean / standard deviation

26
Q

A “relax” protocol monitors _______ and trains ________.

A

Monitors OZ

Trains up Alpha

Trains down Theta & HB

27
Q

When clients exhibit EEG abnormalities, live z- score training can

A

Normalize the qEEG and improve clinical symptoms

28
Q

A z-score of +/- 1 standard deviation covers the middle ______ of the population

A

68%

29
Q

A “squash” protocol might reinforce

A

Decreased Theta amplitude

30
Q

A “focus” protocol monitors ______ and trains ________.

A

Monitors C3 or C4

Trains SMR up

Trains down Theta & HB

31
Q

The “alert “protocol used to treat ADHD monitors _______ and trains ______.

A

Monitor C3 or C4

Trains up Beta

Trains down Theta & HB

32
Q

Sometimes a clients training goal in regards to Z scores

A

Sometimes a training goal is to move away from the Z score mean 0