RT @ArielleKeller: New preprint! Our brains don’t develop in a vacuum, but enmeshed in a complex web of experiences+environments. How can w….

RT @LindenParkes: @CieslakMatt @SydneyCovitz @ruben_gur @Fabiopas82 @takishinohara @neuro_dz @sattertt @DaniSBassett Finally, big shoutout….

SUCH impressive work from @kahini_mehta & team!!!.

RT @sattertt: Thrilled to share awesome new work from the ever-stellar Dr. Erica Baller (not on twitter) + our friends at @Penn_SIVE : “​​”….

RT @sattertt: Beyond thrilled to report that @valerieJsydnor is now Dr. @valerieJsydnor!! An astonishingly high-caliber presentation focus….

SO PROUD @so_whitehouse.

RT @pineurosci: Got one into neuron! LMK if you don't have access, but here's the link and I'll explain why I thin….

Check out this incredibly impressive preprint by my super talented colleague and friend @kahini_mehta!.

VOTE @so_whitehouse for player of the week!!!!!.

Exciting opportunity to work in Sweden with my brilliant colleague and friend. Any prospective postdocs interested in clinical memory research and neurodegenerative diseases should DEFINITELY apply!.

RT @ArielleKeller: Super excited to share our new review article, “Hierarchical functional system development supports executive function”….

RT @_JakeVogel_: ‼️ Preprint alert ‼️ "Conserved whole-brain spatiomolecular gradients shape adult brain functional organization" https://t….

Additional thank yous go out to our wildly talented set of co-authors, early adopters, and current users, including our incredible teams at @PennMedicine and @ChildrensPhila, along with @DrDamienFair's @UMNews group and @MilhamMichael's at @childmindinst.

I would like to give a massive shout out to @sattertt and @CieslakMatt for their mentorship and guidance throughout every stage of this project. Few people are lucky enough to receive one outstanding and brilliant role model during their first job, and I wound up with two.

The source code for CuBIDS is publicly accessible at #OpenScience.

The documentation for CuBIDS is available at and our package is available for download on the Python Package Index (@pypi)

CuBIDS also helps users summarize, categorize, and visualize the #metadata heterogeneity present in their #BIDS data, test #pipelines on their dataset's entire parameter space, and perform metadata-based quality control.

CuBIDS includes a robust implementation of BIDS validation that scales to large samples and incorporates .@datalad––a version control software package for data––to ensure #reproducibility and provenance tracking throughout the CuBIDS curation workflow.

CuBIDS is a #neuroinformatics workflow and #OpenSource, #Python-based software package designed to facilitate #reproducible curation of neuroimaging data.

We are thrilled to announce that our paper, "Curation of BIDS (CuBIDS): A workflow and software package for streamlining reproducible curation of large BIDS datasets," was just published in NeuroImage! 💻🧠