Loading...

Reset Password

NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action.

All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the National Database for Autism Research (NDAR) web site to go to:

Click on the address above if the page does not change within 10 seconds.

Disclaimer

NDAR is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Selected Filters
No filters selected

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.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

Description
Value Range
Notes
Data Structures with shared data
No filters have been selected

Peds - Expanded Diffusion Tensor Imaging (eDTI)

peds_edti

02

Expanded diffusion tensor imaging (DTI) data as defined by the NIH Pediatric MRI Project

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotes
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/project
timepoint_labelString5RequiredTimepoint/visit label
edti_age_days_dobIntegerRequiredAge in days to date of birth from DTI scan date. This may differ from the T1 date due to an offset in scan date between structural and DTI data.
edti_time_days_arbitrary_dateIntegerRecommendedTime in days calculated by subtracting an arbitrary date from the DTI scan date. Allows the user to identify ACR or Living Phantom scans from the same time in an anonymized way.
edti_time_days_to_t1IntegerRecommendedNumber of days delay time between T1 structural acquisition and DTI acquisition.
edti_release_versionString5RequiredVersion of the DTI data release. This release number is independent of the Structural MRI release number.
scanner_manufacturer_edtiString30RecommendedSiemens or GE as extracted from the MINC header
scanner_software_versions_edtiString30RecommendedMRI scanner software version
mri_echo_time_edtiFloatRecommendedEcho time
mri_repetition_time_edtiFloatRecommendedRepetition time
mri_excit_pulse_angle_edtiFloatRecommendedexcitation pulse angle for DTI (degrees). Expected value is 90 degress.
mri_band_width_edtiFloatRecommendedBand width
mri_nex_edtiIntegerRecommendedNumber of excitations (NEX)
mri_field_of_view_raw_ap_edtiIntegerRecommendedfield of view in the anterior-posterior direction for the DWI images as acquired at the scanner before processing
mri_field_of_view_raw_lr_edtiIntegerRecommendedfield of view in the left-right direction for the DWI images as acquired at the scanner before processing
mri_voxel_width_raw_ap_edtiFloatRecommendedVoxel resolution in Anterior-Posterior direction for raw DWI data. AP = y direction for axial acquisition.
mri_voxel_width_raw_lr_edtiFloatRecommendedVoxel resolution in Left-Right direction for raw DWI data. LR = x direction for axial acquisition.
mri_voxel_width_raw_is_edtiFloatRecommendedVoxel resolution in Inferior-Superior direction for raw DWI data. IS = z for axial acquisition.
mri_number_slices_raw_edtiIntegerRecommendedNumber of slices for raw DWI data.
mri_field_of_view_corr_ap_edtiIntegerRecommendedField of view (FOV)in anterior-posterior direction for DWI data after artifact remediation and distortion correction.
mri_field_of_view_corr_lr_edtiIntegerRecommendedField of view (FOV)in left-right direction for DWI data after artifact remediation and distortion correction.
mri_voxel_width_corr_ap_edtiFloatRecommendedVoxel resolution in Anterior-Posterior direction for DWI data after artifact remediation and distortion correction.
mri_voxel_width_corr_lr_edtiFloatRecommendedVoxel resolution in Left-Right direction for DWI data after artifact remediation and distortion correction.
mri_voxel_width_corr_is_edtiFloatRecommendedVoxel resolution in Inferior-Superior direction for DWI data after artifact remediation and distortion correction.
mri_acquisition_matrix_edtiString30RecommendedImage acquisition matrix size.
mri_image_matrix_edtiString30RecommendedFinal image matrix size. Compared with the acquisition matrix size, this indicates in the images were interpolated by the scanner.
mri_number_slices_corr_edtiIntegerRecommendedNumber of slices for final output data.
mri_slice_gap_edtiFloatRecommendedSpace between slices. Should be 0. (mm)
mri_num_b0_edtiIntegerRecommendedNumber of non-diffusion weighted images. For full edti acquisition, this should be 10 for Siemens, 9 for GE.
mri_num_intb_dwi_edtiIntegerRecommendedNumber of diffusion weighted images of intermediate b-value (100, 300, 500, 800). For full edti data acquisition, this should be 60.
mri_num_highb_dwi_edtiIntegerRecommendedNumber of diffusion weighted images of high b-value (1100). For full edti acquisition, this should be 50.
mri_num_b0_corr_edtiIntegerRecommendedNumber of non-diffusion weighted images after correction.
mri_num_intb_dwi_corr_edtiIntegerRecommendedNumber of diffusion weighted images of intermediate b-value (100, 300, 500, 800) after correction.
mri_num_highb_dwi_corr_edtiIntegerRecommendedNumber of diffusion weighted images of high b-value (1100) after correction.
mri_epi_correction_edtiString1RecommendedIs EPI correction performed? Y=yes, N=no
mri_epi_bspline_grid_size_edtiIntegerRecommendedValue of the bspline grid size used for EPI correction. Total grid size is the sum of this number plus 3 additional grid points for the required border size.
edti_registration_target_typeString2RecommendedImaging modality of target image used for EPI correction and/or reorientation. T1, T2 or PD
edti_tensor_fitting_typeString2RecommendedTensor fitting algorithm used to create the data. If not visible artifacts, then non-linear fitting (N1), with visible artifacts, RESTORE robust fitting (R1).
qc_num_volumes_edtiIntegerRecommendedQuality score for protocol violations; 0=no violation, 1=violation. Number of acquired volumes.0; 10 = No violation; 1 = Violation
qc_num_slices_edtiIntegerRecommendedQuality score for protocol violations; 0=no violation, 1=violation. Number of slices per DWI volume.0; 10 = No violation; 1 = Violation
qc_in_plane_resolution_edtiIntegerRecommendedQuality score for protocol violations; 0=no violation, 1=violation. Axial in-plane resoultion.0; 10 = No violation; 1 = Violation
qc_slice_thickness_edtiIntegerRecommendedQuality score for protocol violations; 0=no violation, 1=violation. Slice thickness.0; 10 = No violation; 1 = Violation
qc_zero_fill_acq_edtiIntegerRecommendedQuality score for protocol violations; 0=no violation, 1=violation. Protocol specified no zero filling at the time of acquisition.0; 10 = No violation; 1 = Violation
qc_nex_edtiIntegerRecommendedQuality score for protocol violations; 0=no violation, 1=violation. Protocol specifies NEX=1.0; 10 = No violation; 1 = Violation
qc_oblique_acq_edtiIntegerRecommendedQuality score for protocol violations; 0=no violation, 1=violation. Protocol specified pure axial acquisition only.0; 10 = No violation; 1 = Violation
qc_echo_time_edtiIntegerRecommendedQuality score for protocol violations; 0=no violation, 1=violation. Echo time must be the same for all replicates, including b1000 and b500.0; 10 = No violation; 1 = Violation
qc_gain_scale_edtiIntegerRecommendedQuality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Gain differences between replicates, or scaling differences between b0 and DWI images.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_brain_coverage_top_edtiIntegerRecommendedQuality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Was the top of the brain fully included in acquisition?0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_brain_coverage_bottom_edtiIntegerRecommendedQuality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Was the bottom of the brain (cerebellum) fully included in acquisition?0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_ghosting_edtiIntegerRecommendedQuality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of ghosting.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_nosie_artifacts_edtiIntegerRecommendedQuality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of noise, spike noise, RF, and recon artifacts.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_motion_signal_drop_edtiIntegerRecommendedQuality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of signal dropouts due to motion.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_motion_eddy_dist_edtiIntegerRecommendedQuality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of misregistration due to motion and eddy distortion.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_epi_dist_edtiIntegerRecommendedQuality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of susceptibility related EPI distortion.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_cardiac_artifacts_edtiIntegerRecommendedQuality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of cardiac pulsation artifacts.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_qual_motion_eddy_corr_edtiIntegerRecommendedQuality score for corrected DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Quality of the correction of misregistration due to motion and eddy distortion.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_qual_epi_corr_edtiIntegerRecommendedQuality score for corrected DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Quality of correction for EPI distortion.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_region_frontal_edtiIntegerRecommendedRegional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Frontal lobes.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_region_parietal_edtiIntegerRecommendedRegional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Parietal lobes.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_region_occipital_edtiIntegerRecommendedRegional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Occipital lobes.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_region_temporal_edtiIntegerRecommendedRegional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Temporal lobes.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_region_cerebellum_bs_edtiIntegerRecommendedRegional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Cerebellum and brainstem. Likely affected by cardiac pulsation.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_region_central_brain_edtiIntegerRecommendedRegional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Central brain regions (Ask Ami - midbrain?).0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_region_top_brain_edtiIntegerRecommendedRegional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Top of the brain.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
qc_region_global_edtiIntegerRecommendedRegional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Whole brain, overall quality of tensor derived maps.0; 1; 2; 3; 40 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
edti_fa_image_niiFileRecommendedFractional Anisotropy image in nifti format. Computed from b0 and high b-value data only.
edti_ra_image_niiFileRecommendedRelative Anisotropy image in nifti format. Computed from b0 and high b-value data only.
edti_li_image_niiFileRecommendedLattice Index image in nifti format. Computed from b0 and high b-value data only.
edti_tr_image_niiFileRecommendedTrace ADC image in nifti format. Computed from b0 and high b-value data only.
edti_ev_image_niiFileRecommendedEigenvalue image in 4D nifti format. Volumes are in the order lambda1, lambda2, lambda3. Computed from b0 and high b-value data only.
edti_cs_image_niiFileRecommendedChi-Square map in nifti format. Measure of the goodness of fit of the data. Computed from b0 and high b-value data only.
edti_dec_image_niiFileRecommendedDirectional Encoded Color (DEC) image in nifti format. Computed from b0 and high b-value data only.
edti_mask_image_niiFileRecommendedMask image used in tensor fitting
edti_outlier_image_niiFileRecommendedOutlier map from the RESTORE robust tensor fitting. Only exists for datasets that were processed using RESTORE.
edti_tal_noscale_t1_niiFileRecommendedT1W image in Tal no-scale space in nifti format
edti_tal_noscale_t2_niiFileRecommendedT2W image in Tal no-scale space in nifti format
edti_tal_noscale_pd_niiFileRecommendedPDW image in Tal no-scale space in nifti format
edti_dwi_raw_uncorr_imagesFileRecommendedAll DWI images that passed initial quality assessment. Images are saved slice by slice in raw floating point format. .list, .path and .bmtxt files are provided for opening in TORTOISE. Provided in a .tar.gz file.
edti_dwi_raw_crctd_tensor_imgsFileRecommendedAll DWI images that passed minimum quality assessment, after artifact remediation and distortion correction, plus computed noise correction for interpolation, tensor, amplitude and mask images. Compatible with TORTOISE, and raw floating point images.
edti_tensor_imagesFileRecommendedComputed tensor, amplitude and mask images. Compatible with TORTOISE. All tensor derived quantities can be computed from these files in TORTOISE.
edti_dwi_extnd_raw_uncorr_imgsFileRecommendedAll raw DWI volumes that passed initial QC, including intermediate b-value volumes. These volumes are original, without any corrections applied.
edti_dwi_extnd_raw_crctd_imgsFileRecommendedAll DWI volumes that passed QC, including intermediate b-value volumes, after motion, eddy distortion and EPI distortion corrections.
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: peds_edti02 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.