Your Name:
* must provide value
Email:
* must provide value
XNAT project name:
(ex. TST01_CMH)
* must provide value
CAMH Baycrest Hospital St. Michael's Hospital Sunnybrook Hospital UHN
Addictions Assessment/Triage and Support/General Psychiatry Child, Youth & Family Dual Diagnosis CAMH Education Geriatric Mental Health The Law and Mental Health Mood and Anxiety Pharmacy Schizophrenia Women's Clinical Research (CRD) Neuroscience Research (NEU) The PET Centre (PET) Social and Epidemiological Research (SER) Other
Group Name (i.e. lab name):
Other (New Group name) biostatistics boileau brainhack businessintelligence daskalakis deluca epidemiology hendershot imhpr kaplan kennedy kimel knight kolla-cd lobo mann meyer mizrahi mri mueller multi-modal ndd neuroinformatics neurogenetics obi_indoc pet pet_methods petronis pharmacogenetics pharmacokinetics pslab remington research_imaging researchit sexology sibille temerty tyndale vincent vr_lab zawertailo
What brand is the EEG recording device?
What is the model name of the EEG recording device?
What is the serial number of the EEG recording system? (if possible)
What method of data collection is being used?
Scalp EEG Intracranial EEG Other
If Other, Please specify.
What is the EEG recording system software version?
What is the powerline frequency at the data collection site?
60 Hz 50 Hz
60Hz in North America
Expected number of subjects (optional)
Expected number of EEG runs per session?
* must provide value
1 2 3 4 5 6 7 8
Would you like automated pre-processing to be applied to your EEG data?
* must provide value
Yes
No
Rest ERP TMS Epoched Other
(Run 1) Raw EEG file type?
set cnt eeg mat txt fdt avg fif m4d edf asc raw vsm vhdr bdf
(Run 1) Min/Max Number of Channels?
[min, max]
(Run 1) Min/Max Number of Events?
[min, max]
(Run 1) Min/Max length of the EEG run in seconds.
[min, max]
(Run 1) Min/Max sampling frequency in Hz.
(ex. [250,250] if only 250 Hz is acceptable)
[min, max]
(Run 1) Min/Max EEG file size in bytes. (max of -1 = infinity)
[min, max]
(Run 1) Would you like to remove some channels from further pre-processing steps? (Ex. stim, ECG, EOG)
Yes
No
(Run 1) Channels to omit from pre-processing. (separated by commas)
ex. stim, CB1, EOG, C3
(Run 1) Channel Removal pre-processing order
(Run 1) Would you like to notch filter the data for line noise?
Yes
No
(Run 1) What is the notch filter center frequency?
Hz
(Run 1) What is the width of the notch filter?
Hz
(Run 1) What is the FIR notch filter window type?
hamming hann blackman
(Run 1) Notch filter pre-processing order
(Run 1) Would you like evenly spaced events created for this run? (usually used to create epochs in continuous rest data)
Yes
No
(Run 1) Time of first event?
in seconds
(Run 1) Maximum time of last event. If "None", events extend to the end of the recording.
(Run 1) The duration to separate events by.
in seconds
(Run 1) Add events pre-process order.
(Run 1) Would you like to epoch the data?
Yes
No
(Run 1) Event IDs. (If all events are to be used, write "all")
id1, id2, ...
(Run 1) tmin, Start time before event.
should be negative number in seconds
(Run 1) tmax, End time after event.
should be a positive number in seconds
(Run 1) The time interval to apply baseline correction. If None do not apply it. If baseline is [a, b] the interval is between "a (s)" and "b (s)". If a is None the beginning of the data is used and if b is None then b is set to the end of the interval. If baseline is equal to (None, None) all the time interval is used. Correction is applied by computing mean of the baseline period and subtracting it from the data. The baseline (a, b) includes both endpoints, i.e. all timepoints t such that a <= t <= b
t1, t2 or None
(Run 1) Stimulation channel to read events from. (if events were manually created above, use the event label)
Name of Channel (ex. "STI 014"
(Run 1) Detrend epochs. 0 is a constant (DC) detrend, 1 is a linear detrend. None is no detrending. Note that detrending is performed before baseline correction. If no DC offset is preferred (zeroth order detrending), either turn off baseline correction, as this may introduce a DC shift, or set baseline correction to use the entire time interval
0, 1 or None
(Run 1) Epoch pre-processing order
(Run 1) Would you like resampling applied to this Run
Yes
No
(Run 1) New sampling frequency? (Hz)
(Run 1) Resampling pre-processing order
integer
(Run 1) Would you like a filter applied to this run
Yes
No
(Run 1) What is the lower cutoff frequency?
if low-pass filter, write None
(Run 1) What is the high cutoff frequency?
if high-pass, write None
(Run 1) Filter pre-processing order?
Rest ERP TMS Epoched Other
(Run 2) Raw EEG file type ?
set cnt eeg mat txt fdt avg fif m4d edf asc raw vsm vhdr bdf
(Run 2) Min/Max Number of Channels
[min, max]
(Run 2) Min/Max Number of Events
[min, max]
(Run 2) Min/Max length of the EEG run in seconds.
[min, max]
(Run 2) Min/Max sampling frequency in Hz.
(ex. [250,250] if only 250 Hz is acceptable)
[min, max]
(Run 2) Min/Max EEG file size in bytes. (max of -1 = infinity)
[min, max]
(Run 2) Would you like to remove some channels from further pre-processing steps? (Ex. stim, ECG, EOG)
Yes
No
(Run 2) Channels to omit from pre-processing. (separated by commas)
ex. stim, CB1, EOG, C3
(Run 2) Drop channel pre-processing order.
(Run 2) Would you like to notch filter the data for line noise?
Yes
No
(Run 2) What is the notch filter center frequency?
Hz
(Run 2) What is the width of the notch filter?
Hz
(Run 2) What is the FIR notch filter window type?
hamming hann blackman
(Run 2) Notch filter pre-processing order
(Run 2) Would you like evenly spaced events created for this run? (usually used to create epochs in continuous rest data)
Yes
No
(Run 2) Time of first event?
in seconds
(Run 2) Maximum time of last event. If "None", events extend to the end of the recording.
(Run 2) The duration to separate events by.
in seconds
(Run 2) Create events pre-processing order
(Run 2) Would you like to epoch the data?
Yes
No
(Run 2) Event IDs. (If all events are to be used, write "all")
id1, id2, ...
(Run 2) tmin, Start time before event.
should be negative number in seconds
(Run 2) tmax, End time after event.
should be a positive number in seconds
(Run 2) The time interval to apply baseline correction. If None do not apply it. If baseline is [a, b] the interval is between "a (s)" and "b (s)". If a is None the beginning of the data is used and if b is None then b is set to the end of the interval. If baseline is equal to (None, None) all the time interval is used. Correction is applied by computing mean of the baseline period and subtracting it from the data. The baseline (a, b) includes both endpoints, i.e. all timepoints t such that a <= t <= b
t1, t2 or None
(Run 2) Stimulation channel to read events from. (if events were manually created above, use the event label)
Name of Channel (ex. "STI 014"
(Run 2) Detrend epochs. 0 is a constant (DC) detrend, 1 is a linear detrend. None is no detrending. Note that detrending is performed before baseline correction. If no DC offset is preferred (zeroth order detrending), either turn off baseline correction, as this may introduce a DC shift, or set baseline correction to use the entire time interval
0, 1 or None
(Run 2) Epoch pre-processing order
(Run 2) Would you like resampling applied to this Run
Yes
No
(Run 2) New sampling frequency? (Hz)
(Run 2) Resample pre-processing order
integer
(Run 2) Would you like a filter applied to this run
Yes
No
(Run 2) What is the lower cutoff frequency?
if low-pass filter, write None
(Run 2) What is the high cutoff frequency?
if high-pass, write None
(Run 2) Filter pre-processing order
Rest ERP TMS Epoched Other
(Run 3) Raw EEG file type?
set cnt eeg mat txt fdt avg fif m4d edf asc raw vsm vhdr bdf
(Run 3) Min/Max Number of Channels
[min, max]
(Run 3) Min/Max Number of Events
[min, max]
(Run 3) Min/Max length of the EEG run in seconds.
[min, max]
(Run 3) Min/Max sampling frequency in Hz.
(ex. [250,250] if only 250 Hz is acceptable)
[min, max]
(Run 3) Min/Max EEG file size in bytes. (max of -1 = infinity)
[min, max]
(Run 3) Would you like to remove some channels from further pre-processing steps? (Ex. stim, ECG, EOG)
Yes
No
(Run 3) Channels to omit from pre-processing. (separated by commas)
ex. stim, CB1, EOG, C3
(Run 3) Drop Channel pre-processing order
(Run 3) Would you like to notch filter the data for line noise?
Yes
No
(Run 3) What is the notch filter center frequency?
Hz
(Run 3) What is the width of the notch filter?
Hz
(Run 3) What is the FIR notch filter window type?
hamming hann blackman
(Run 3) Notch filter pre-processing order
(Run 3) Would you like evenly spaced events created for this run? (usually used to create epochs in continuous rest data)
Yes
No
(Run 3) Time of first event?
in seconds
(Run 3) Maximum time of last event. If "None", events extend to the end of the recording.
(Run 3) The duration to separate events by.
in seconds
(Run 3) Create Events pre-processing order
(Run 3) Would you like to epoch the data?
Yes
No
(Run 3) Event IDs. (If all events are to be used, write "all")
id1, id2, ...
(Run 3) tmin, Start time before event.
should be negative number in seconds
(Run 3) tmax, End time after event.
should be a positive number in seconds
(Run 3) The time interval to apply baseline correction. If None do not apply it. If baseline is [a, b] the interval is between "a (s)" and "b (s)". If a is None the beginning of the data is used and if b is None then b is set to the end of the interval. If baseline is equal to (None, None) all the time interval is used. Correction is applied by computing mean of the baseline period and subtracting it from the data. The baseline (a, b) includes both endpoints, i.e. all timepoints t such that a <= t <= b
t1, t2 or None
(Run 3) Stimulation channel to read events from. (if events were manually created above, use the event label)
Name of Channel (ex. "STI 014"
(Run 3) Detrend epochs. 0 is a constant (DC) detrend, 1 is a linear detrend. None is no detrending. Note that detrending is performed before baseline correction. If no DC offset is preferred (zeroth order detrending), either turn off baseline correction, as this may introduce a DC shift, or set baseline correction to use the entire time interval
0, 1 or None
(Run 3) Epoch pre-processing order
(Run 3) Would you like resampling applied to this Run
Yes
No
(Run 3) New sampling frequency? (Hz)
(Run 3) Resample pre-processing order
integer
(Run 3) Would you like a filter applied to this run
Yes
No
(Run 3) What is the lower cutoff frequency?
if low-pass filter, write None
(Run 3) What is the high cutoff frequency?
if high-pass, write None
(Run 3) Filter pre-processing order
Rest ERP TMS Epoched Other
(Run 4) Raw EEG file type
set cnt eeg mat txt fdt avg fif m4d edf asc raw vsm vhdr bdf
(Run 4) Min/Max Number of Channels
[min, max]
(Run 4) Min/Max Number of Events
[min, max]
(Run 4) Min/Max length of the EEG run in seconds.
[min, max]
(Run 4 Min/Max sampling frequency in Hz.
(ex. [250,250] if only 250 Hz is acceptable)
[min, max]
(Run 4) Min/Max EEG file size in bytes. (max of -1 = infinity)
[min, max]
(Run 4) Would you like to remove some channels from further pre-processing steps? (Ex. stim, ECG, EOG)
Yes
No
(Run 4) Channels to omit from pre-processing. (separated by commas)
ex. stim, CB1, EOG, C3
(Run 4) Drop Channels pre-processing order
(Run 4) Would you like to notch filter the data for line noise?
Yes
No
(Run 4) What is the notch filter center frequency?
Hz
(Run 4) What is the width of the notch filter?
Hz
(Run 4) What is the FIR notch filter window type?
hamming hann blackman
(Run 4) Notch filter pre-processing order
(Run 4) Would you like evenly spaced events created for this run? (usually used to create epochs in continuous rest data)
Yes
No
(Run 4) Time of first event?
in seconds
(Run 4) Maximum time of last event. If "None", events extend to the end of the recording.
(Run 4) The duration to separate events by.
in seconds
(Run 4) Create Events pre-processing order
(Run 4) Would you like to epoch the data?
Yes
No
(Run 4) Event IDs. (If all events are to be used, write "all")
id1, id2, ...
(Run 4) tmin, Start time before event.
should be negative number in seconds
(Run 4) tmax, End time after event.
should be a positive number in seconds
(Run 4) The time interval to apply baseline correction. If None do not apply it. If baseline is [a, b] the interval is between "a (s)" and "b (s)". If a is None the beginning of the data is used and if b is None then b is set to the end of the interval. If baseline is equal to (None, None) all the time interval is used. Correction is applied by computing mean of the baseline period and subtracting it from the data. The baseline (a, b) includes both endpoints, i.e. all timepoints t such that a <= t <= b
t1, t2 or None
(Run 4) Stimulation channel to read events from. (if events were manually created above, use the event label)
Name of Channel (ex. "STI 014"
(Run 4) Detrend epochs. 0 is a constant (DC) detrend, 1 is a linear detrend. None is no detrending. Note that detrending is performed before baseline correction. If no DC offset is preferred (zeroth order detrending), either turn off baseline correction, as this may introduce a DC shift, or set baseline correction to use the entire time interval
0, 1 or None
(Run 4) Epoch pre-processing order
(Run 4) Would you like resampling applied to this Run
Yes
No
(Run 4) New sampling frequency? (Hz)
(Run 4) Resample pre-processing order
integer
(Run 4) Would you like a filter applied to this run
Yes
No
(Run 4) What is the lower cutoff frequency?
if low-pass filter, write None
(Run 4) What is the high cutoff frequency?
if high-pass, write None
(Run 4) Filter pre-processing order
Rest ERP TMS Epoched Other
(Run 5) Raw EEG file type
set cnt eeg mat txt fdt avg fif m4d edf asc raw vsm vhdr bdf
(Run 5) Min/Max Number of Channels
[min, max]
(Run 5) Min/Max Number of Events
[min, max]
(Run 5) Min/Max length of the EEG run in seconds.
[min, max]
(Run 5) Would you like to remove some channels from further pre-processing steps? (Ex. stim, ECG, EOG)
Yes
No
(Run 5) Min/Max sampling frequency in Hz.
(ex. [250,250] if only 250 Hz is acceptable)
[min, max]
(Run 5) Min/Max EEG file size in bytes. (max of -1 = infinity)
[min, max]
(Run 5) Channels to omit from pre-processing. (separated by commas)
ex. stim, CB1, EOG, C3
(Run 5) Drop Channels pre-processing order
(Run 5) Would you like to notch filter the data for line noise?
Yes
No
(Run 5) What is the notch filter center frequency?
Hz
(Run 5) What is the width of the notch filter?
Hz
(Run 5) What is the FIR notch filter window type?
hamming hann blackman
(Run 5) Notch filter pre-processing order
(Run 5) Would you like evenly spaced events created for this run? (usually used to create epochs in continuous rest data)
Yes
No
(Run 5) Time of first event?
in seconds
(Run 5) Maximum time of last event. If "None", events extend to the end of the recording.
(Run 5) The duration to separate events by.
in seconds
(Run 5) Create Events pre-processing order
(Run 5) Would you like to epoch the data?
Yes
No
(Run 5) Event IDs. (If all events are to be used, write "all")
id1, id2, ...
(Run 5) tmin, Start time before event.
should be negative number in seconds
(Run 5) tmax, End time after event.
should be a positive number in seconds
(Run 5) The time interval to apply baseline correction. If None do not apply it. If baseline is [a, b] the interval is between "a (s)" and "b (s)". If a is None the beginning of the data is used and if b is None then b is set to the end of the interval. If baseline is equal to (None, None) all the time interval is used. Correction is applied by computing mean of the baseline period and subtracting it from the data. The baseline (a, b) includes both endpoints, i.e. all timepoints t such that a <= t <= b
t1, t2 or None
(Run 5) Stimulation channel to read events from. (if events were manually created above, use the event label)
Name of Channel (ex. "STI 014"
(Run 5) Detrend epochs. 0 is a constant (DC) detrend, 1 is a linear detrend. None is no detrending. Note that detrending is performed before baseline correction. If no DC offset is preferred (zeroth order detrending), either turn off baseline correction, as this may introduce a DC shift, or set baseline correction to use the entire time interval
0, 1 or None
(Run 5) Epoch pre-processing order
(Run 5) Would you like resampling applied to this Run
Yes
No
(Run 5) New sampling frequency? (Hz)
(Run 5) Resample pre-processing order
integer
(Run 5) Would you like a filter applied to this run
Yes
No
(Run 5) What is the lower cutoff frequency?
if low-pass filter, write None
(Run 5) What is the high cutoff frequency?
if high-pass, write None
(Run 5) Filter pre-processing order
Rest ERP TMS Epoched Other
(Run 6) Raw EEG file type
set cnt eeg mat txt fdt avg fif m4d edf asc raw vsm vhdr bdf
(Run 6) Min/Max Number of Channels
[min, max]
(Run 6) Min/Max Number of Events
[min, max]
(Run 6) Min/Max length of the EEG run in seconds.
[min, max]
(Run 6) Min/Max sampling frequency in Hz.
(ex. [250,250] if only 250 Hz is acceptable)
[min, max]
(Run 6) Min/Max EEG file size in bytes. (max of -1 = infinity)
[min, max]
(Run 6) Would you like to remove some channels from further pre-processing steps? (Ex. stim, ECG, EOG)
Yes
No
(Run 6) Channels to omit from pre-processing. (separated by commas)
ex. stim, CB1, EOG, C3
(Run 6) Drop Channels pre-processing order
(Run 6) Would you like to notch filter the data for line noise?
Yes
No
(Run 6) What is the notch filter center frequency?
Hz
(Run 6) What is the width of the notch filter?
Hz
(Run 6) What is the FIR notch filter window type?
hamming hann blackman
(Run 6) Notch filter pre-processing order
(Run 6) Would you like evenly spaced events created for this run? (usually used to create epochs in continuous rest data)
Yes
No
(Run 6) Time of first event?
in seconds
(Run 6) Maximum time of last event. If "None", events extend to the end of the recording.
(Run 6) The duration to separate events by.
in seconds
(Run 6) Create Events pre-processing order
(Run 6) Would you like to epoch the data?
Yes
No
(Run 6) Event IDs. (If all events are to be used, write "all")
id1, id2, ...
(Run 6) tmin, Start time before event.
should be negative number in seconds
(Run 6) tmax, End time after event.
should be a positive number in seconds
(Run 6) The time interval to apply baseline correction. If None do not apply it. If baseline is [a, b] the interval is between "a (s)" and "b (s)". If a is None the beginning of the data is used and if b is None then b is set to the end of the interval. If baseline is equal to (None, None) all the time interval is used. Correction is applied by computing mean of the baseline period and subtracting it from the data. The baseline (a, b) includes both endpoints, i.e. all timepoints t such that a <= t <= b
t1, t2 or None
(Run 6) Stimulation channel to read events from. (if events were manually created above, use the event label)
Name of Channel (ex. "STI 014")
(Run 6) Detrend epochs. 0 is a constant (DC) detrend, 1 is a linear detrend. None is no detrending. Note that detrending is performed before baseline correction. If no DC offset is preferred (zeroth order detrending), either turn off baseline correction, as this may introduce a DC shift, or set baseline correction to use the entire time interval
0, 1 or None
(Run 6) Epoch pre-processing order
(Run 6) Would you like resampling applied to this Run
Yes
No
(Run 6) New sampling frequency? (Hz)
(Run 6) Resample pre-processing order
integer
(Run 6) Would you like a filter applied to this run
Yes
No
(Run 6) What is the lower cutoff frequency
if low-pass filter, write None
(Run 6) What is the high cutoff frequency
if high-pass, write None
(Run 6) Filter pre-processing order
Rest ERP TMS Epoched Other
(Run 7) Raw EEG file type
set cnt eeg mat txt fdt avg fif m4d edf asc raw vsm vhdr bdf
(Run 7) Min/Max Number of Channels
[min, max]
(Run 7) Min/Max Number of Events
[min, max]
(Run 7) Min/Max length of the EEG run in seconds.
[min, max]
(Run 7) Min/Max sampling frequency in Hz.
(ex. [250,250] if only 250 Hz is acceptable)
[min, max]
(Run 7) Min/Max EEG file size in bytes. (max of -1 = infinity)
[min, max]
(Run 7) Would you like to remove some channels from further pre-processing steps? (Ex. stim, ECG, EOG)
Yes
No
(Run 7) Channels to omit from pre-processing. (separated by commas)
ex. stim, CB1, EOG, C3
(Run 7) Drop Channels pre-processing order
(Run 7) Would you like to notch filter the data for line noise?
Yes
No
(Run 7) What is the notch filter center frequency?
Hz
(Run 7) What is the width of the notch filter?
Hz
(Run 7) What is the FIR notch filter window type?
hamming hann blackman
(Run 7) Notch filter pre-processing order
(Run 7) Would you like evenly spaced events created for this run? (usually used to create epochs in continuous rest data)
Yes
No
(Run 7) Time of first event?
in seconds
(Run 7) Maximum time of last event. If "None", events extend to the end of the recording.
(Run 7) The duration to separate events by.
in seconds
(Run 7) Create Events pre-processing order
(Run 7) Would you like to epoch the data?
Yes
No
(Run 7) Event IDs. (If all events are to be used, write "all")
id1, id2, ...
(Run 7) tmin, Start time before event.
should be negative number in seconds
(Run 7) tmax, End time after event.
should be a positive number in seconds
(Run 7) The time interval to apply baseline correction. If None do not apply it. If baseline is [a, b] the interval is between "a (s)" and "b (s)". If a is None the beginning of the data is used and if b is None then b is set to the end of the interval. If baseline is equal to (None, None) all the time interval is used. Correction is applied by computing mean of the baseline period and subtracting it from the data. The baseline (a, b) includes both endpoints, i.e. all timepoints t such that a <= t <= b
t1, t2 or None
(Run 7) Stimulation channel to read events from. (if events were manually created above, use the event label)
Name of Channel (ex. "STI 014"
(Run 7) Detrend epochs. 0 is a constant (DC) detrend, 1 is a linear detrend. None is no detrending. Note that detrending is performed before baseline correction. If no DC offset is preferred (zeroth order detrending), either turn off baseline correction, as this may introduce a DC shift, or set baseline correction to use the entire time interval
0, 1 or None
(Run 7) Epoch pre-processing order
(Run 7) Would you like resampling applied to this Run
Yes
No
(Run 7) New sampling frequency? (Hz)
(Run 7) Resample pre-processing order
integer
(Run 7) Would you like a filter applied to this run
Yes
No
(Run 7) What is the lower cutoff frequency
if low-pass filter, write None
(Run 7) What is the high cutoff frequency
if high-pass, write None
(Run 7) Filter pre-processing order
Rest ERP TMS Epoched Other
Raw EEG file type (Run 8)?
set cnt eeg mat txt fdt avg fif m4d edf asc raw vsm vhdr bdf
Min/Max Number of Channels (Run 8)
[min, max]
Min/Max Number of Events (Run 8)
[min, max]
(Run 8) Min/Max length of the EEG run in seconds.
[min, max]
(Run 8) Min/Max sampling frequency in Hz.
(ex. [250,250] if only 250 Hz is acceptable)
[min, max]
(Run 8) Min/Max EEG file size in bytes. (max of -1 = infinity)
[min, max]
Please upload an EEG montage file.
Gold Silver Tin Sintered Ag AgCl Platinum Stainless Steel Other
What conductive material was used?
Gel Water Dry Other
Where is the reference electrode?
Cz Pz Linked Ears Linked Mastoid Top of the Nose Average Reference Average Ears Average Mastoid Other
Where is the ground electrode?
What is the EEG cap manufacturer?
What is the EEG cap model name?
Please indicate the electrode impedance ? (ex. if electrodes were kept below 5 ohms, write '5')
What type of analog filter was used?
HighPass/LowPass/ ...?
What type of digital filter was used?