Multi-echo resting-state fMRI networks of healthy volunteers
<p>The dataset contains the resting-state networks of 16 healthy volunteers following multi-echo combination methods: 1) optimal combination 2) tSNR-weighted combination 3) tCNR-weighted combination (PAID method) 4) second echo only (single-echo) After echo combination by one of the methods (or the second echo) 30 independent components were extracted using group ICA and dual regression.</p> <p>Image format: Gunzipped NIfTI (.nii.gz)</p> <p>Time-series format: text file (.txt)</p> <p>The structure of the uploaded folder:</p> <p>- Layer 1: PilmeyerEtAl_ICA_maps_and_timeseries - main folder</p> <p>- Layer 2 (combination method): OC - optimal combination, SE- second echo, tCNR - temporal contrast-to-noise, tSNR - temporal signal-to-noise</p> <p>- Layer 3: groupICA_desc-XX - contains the group ICA maps and time-series before dual regression, sub-YY - folders for each of the 16 subjects</p> <p>- Layer 4: sub-YY_desc_XX - contains the individual extracted ICA maps and time-series</p> <p> </p> <p> </p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.