Litterature review, after 2005.

<p>Litterature review, after 2005.</p

Analysis pipeline describing dMRI, fMRI and EEG analysis.

<p>Analysis pipeline describing dMRI, fMRI and EEG analysis.</p

Cross-sectional areas (in number of voxels).

<p>Cross-sectional areas (in number of voxels).</p

Templates of OR (green) and splenium (red).

<p>The difference between deterministic + DTI tracking (paler) and HARDI + probabilistic (darker) was major, mainly in the Meyer’s loop. Probabilistic template was used.</p

p-values for all combinations between EEG data and structural data.

<p>Smallest value was 0.06.</p

Position of the strongest density point, in ICBM space.

<p>Position of the strongest density point, in ICBM space.</p

Thalamus mask modification.

<p>Blue: thalamic masks as defined by FSL. Green: voxels where FA ∈[0.1, 0.5]. Background: the FA map.</p

Three subject’s final OR, axial view.

<p>Three subject’s final OR, axial view.</p

Superior view of the OR.

<p>Cross section areas (CSAs) were defined as the number of voxels where passed at least 5 streamlines in each section. Mean and minimum CSA of sections 4-15, and mean and maximum CSA of sections 16-18 were measured.</p

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research

Neuroscience is advancing standardization and tool development to support rigor and transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, accessible, interoperable and reusable) access. brainlife.io was developed to democratize neuroimaging research. The platform provides data standardization, management, visualization and processing and automatically tracks the provenance history of thousands of data objects. Here, brainlife.io is described and evaluated for validity, reliability, reproducibility, replicability and scientific utility using four data modalities and 3,200 participants.</p