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Selected Filters
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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

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Description
Value Range
Notes
Data Structures with shared data
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Magnetoencephalography (MEG)

meg

01

Magnetoencephalography (MEG) measures as defined by Dr. Timothy Roberts' lab at the Children's Hospital of Philadelphia

Download Definition as
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Element NameData TypeSizeRequiredDescriptionValue RangeNotes
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired field
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age is rounded to chronological month. If the research participant is 15-days-old at time of interview, the appropriate value would be 0 months. If the participant is 16-days-old, the value would be 1 month.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
m100_leftFloatRecommendedLeft hemisphere M100 response latency (measured by MEG) to 500Hz tone stimulus80.0 :: 200.0
m100_rightFloatRecommendedRight hemisphere M100 response latency (measured by MEG) to 500Hz tone stimulus80.0 :: 200.0
mmf_leftFloatRecommendedLeft hemisphere mismatchfield (MMF) response latency (measured by MEG) averaged over tone and vowel stimuli100.0 :: 400.0
mmf_rightFloatRecommendedRight hemisphere mismatchfield (MMF) response latency (measured by MEG) averaged over tone and vowel stimuli100.0 :: 400.0
md_slf_leftFloatRecommendedMean diffusivity along the left hemisphere superior longitudinal fasciculus0.0 :: 0.003Mean diffusivity is measured in mm^2/sec
md_slf_rightFloatRecommendedMean diffusivity along the right hemisphere superior longitudinal fasciculus0.0 :: 0.003Mean diffusivity is measured in mm^2/sec
fa_slf_leftFloatRecommendedFractional anisotropy along the left hemisphere superior longitudinal fasciculus0.0::1.0Fractional anisotropy is a ratio and has no unit
fa_slf_rightFloatRecommendedFractional anisotropy along the right hemisphere superior longitudinal fasciculus0.0::1.0Fractional anisotropy is a ratio and has no unit
image_fileFileRequiredData file (image, behavioral, anatomical, etc)
image_file_formatString50RequiredImage file formatAFNI; ANALYZE; AVI; BIORAD; BMP; BRIK; BRUKER; CHESHIRE; COR; DICOM; DM3; FITS; GE GENESIS; GE SIGNA4X; GIF; HEAD; ICO; ICS; INTERFILE; JPEG; LSM; MAGNETOM VISION; MEDIVISION; MGH; MICRO CAT; MINC; MIPAV XML; MRC; NIFTI; NRRD; OSM; PCX; PIC; PICT; PNG; QT; RAW; SPM; STK; TIFF; TGA; TMG; XBM; XPM; PARREC; MINC HDF; LIFF; BFLOAT; SIEMENS TEXT; ZVI; JP2; MATLAB; VISTA; ecat6; ecat7; PAR/REC; FIF
vendorString100RecommendedVendor
machine_model_nameString50RecommendedMachine model name
mri_field_strengthFloatRecommendedField Strength of MRI (typically 1.5 or 3 T)0.0 :: 8.0
dti_b_valueFloatRecommended"b-value" for DTI (typically 1000s/mm^2)0.0 :: 10000.0B-value is measured in sec/mm^2
dti_number_directionsIntegerRecommendedNumber of diffusion encoding directions (typically 6 or 30)6 :: 999
taskString4,000RecommendedCognitive process being studied
stimulus_typeString50RecommendedStimulus set (e.g. "tones")
tone_freqFloatRecommendedFrequency of tone stimuli0.0 :: 20000.0
vowel_typeString50RecommendedVowels used (e.g. "a" or "a u")
stimulus_levelString50RecommendedStimulus level (e.g. "45dB SL" or "70dB SPL")
number_trialsIntegerRecommendedNumber of trials of each stimulus type
filter_lo_passFloatRecommendedLow pass filter used in determining MEG DV's1.0 :: 1200.0
filter_hi_passFloatRecommendedHigh pass filter used in determining MEG DV's0.0 :: 20.0
source_or_sensorString50RecommendedWere analyses conducted in source space or sensor space ?
sample_rateFloatRecommendedAcquisition sample rate0.0 :: 12000.0
Data Structure

This page displays the data structure defined for the measure identified in the title and structure short name. The table below displays a list of data elements in this structure (also called variables) and the following information:

  • Element Name: This is the standard element name
  • Data Type: Which type of data this element is, e.g. String, Float, File location.
  • Size: If applicable, the character limit of this element
  • Required: This column displays whether the element is Required for valid submissions, Recommended for valid submissions, Conditional on other elements, or Optional
  • Description: A basic description
  • Value Range: Which values can appear validly in this element (case sensitive for strings)
  • Notes: Expanded description or notes on coding of values
  • Aliases: A list of currently supported Aliases (alternate element names)
  • For valid elements with shared data, on the far left is a Filter button you can use to view a summary of shared data for that element and apply a query filter to your Cart based on selected value ranges

At the top of this page you can also:

  • Use the search bar to filter the elements displayed. This will not filter on the Size of Required columns
  • Download a copy of this definition in CSV format
  • Download a blank CSV submission template prepopulated with the correct structure header rows ready to fill with subject records and upload

Please email the The NDA Help Desk with any questions.

Distribution for DataStructure: meg01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.