πŸ‘©β€πŸ’»IV. Tasks & Monitoring


EEG Tasks

1

Run EyesOpenEyesClosed Task

  • Open task folder on the participant's PC by selecting the tree icon titled "Session 3"

  • Select the EyesOpenEyesClosed Task

  • Enter Participant ID

  • Guide the participant through the eye tracker calibration

  • Have the participant complete the task

    • The EEG will automatically start and stop recording on its own

    • Check impedance between task segments

EyesOpenEyesClosed Task Timeline ⏱️
  • Eyes Open: 10 min of participant's eyes open

  • Break: new instructions presented for next segment

  • Eyes Closed: 10 min of participant's eyes closed

  • Task Ends

2

Run Pitch Discrimination Task

  • Select "Start a New Study" when prompted at the end of the previous task

  • Enter the participant ID: 19XXXp (p for pitch)

  • Select the Pitch Discrimination Task from the task folder on the participant's PC

  • Enter Participant ID

  • Guide the participant through the eye tracker calibration

  • Have the participant complete the task

    • The EEG will automatically start and stop recording on its own

    • Check impedance between task segments

Pitch Discrimination Task Timeline ⏱️
  • Thresholding Practice: practice discriminating between 2 tones separated by 500 ms for 5 trials

  • Thresholding Procedure: discriminate between 2 tones separated by 500 ms to determine their pitch discrimination threshold in Hz for 64 trials

  • Break: new instructions presented for next segment

  • Interval Practice: practice discriminating between 2 tones separated by varying intervals for 5 trials

  • Thresholding Procedure: discriminate between 2 tones separated by varying intervals to determine their pitch discrimination threshold in Hz for 64 trials

  • Task Ends

3

Run Duration Discrimination Task

  • Select "Start a New Study" when prompted at the end of the previous task

  • Enter the participant ID: 19XXXd (d for duration)

  • Select the Duration Discrimination Task from the task folder on the participant's PC

  • Enter Participant ID

  • Guide the participant through the eye tracker calibration

  • Have the participant complete the task

    • The EEG will automatically start and stop recording on its own

    • Check impedance between task segments

Duration Discrimination Task Timeline ⏱️
  • Thresholding Practice: practice discriminating between 2 tones separated by 500 ms for 5 trials

  • Thresholding Procedure: discriminate between 2 tones separated by 500 ms to determine their duration discrimination threshold in Hz for 64 trials

  • Break: new instructions presented for next segment

  • Interval Practice: practice discriminating between 2 tones separated by varying time intervals for 5 trials

  • Interval Procedure: discriminate between 2 tones separated by varying time intervals to determine their duration discrimination threshold in Hz for 64 trials

  • Task Ends

4

Close NetStation

  • Ensure that the EEG has stopped recording

  • Close NetStation before disconnecting the net by selecting "Quit Net Station and Shut Down Amp"

  • Disconnect the net from the amp once NetStation finishes closing

  • Put the connector back in its plastic bag before handing it to the participant


Monitoring EEG

EEG recordings are highly sensitive to various sources of noise and artifacts, which can compromise data quality. Here are some common issues that arise during EEG data collection, how to visually identify them, and best practices for handling them.

Participant Movement πŸ•Ί

VISUAL INDICATORS

Visually, movements can vary in their presentation, depending on their origin. These can include:

  • large spikes or sharp deflections in the signal.

  • abrupt discontinuities in multiple channels.

  • periods of high-frequency noise due to muscle tension.

  • a repetitive, wave-like pulse that reflects rhythmic micro-movements such as foot-tapping.

Aside from the EEG's characteristics, you will also always be able to identify movement by the participant moving.

Bad Electrodes πŸ’₯

VISUAL INDICATORS

Visually, a bad electrode is usually quite obvious. These indicators include:

  • the electrode signal line is moving all over the screen

  • the electrode has repetitive pattern (heart beat/pulse/breath)

  • the electrode is much bolder than the rest

Again, an individual bad electrode will stick out like a sore thumb relative to all others. It is important to note that we might see these patterns across a consecutive set of electrodes as well.

Electrical Noise πŸ”‹

VISUAL INDICATORS

Electrical noise is usually equally distributed across ALL channels, and is a systemic problem.

  • A consistent high-frequency oscillation (50/60 Hz).

  • Noise present in multiple channels at once.

  • Waveform distortion that is synchronized with the power cycle.

In other words, the electrodes will look 64 wavy twins.