(1/17) Now out on bioRxiv‼️Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health | Funded by @NIMHgov.

RT @jchrispang: Due to unforeseen circumstances, we've extended the deadline to apply for our Systems and Comp Neuro postdoc position by a….

RT @FluxSociety: 🎙️ New episode alert from the #SensitivePeriods podcast!.Host @MattMattoni is joined by @goliashf & Andrey Luo as they dis….

RT @AnnieGBryant: 🎨🧑‍🎨 Looking for a tool to visualize subcortical/thalamic data in 2D? Check out this python-based package I put together….

RT @audreycluo: We think of white matter as the brain's highways—uniform conduits between cortices. What if we study development along trac….

RT @misicbata: Cerebral blood perfusion across biological systems and the human lifespan | How does blood perfusio….

RT @misicbata: Benchmarking macaque brain gene expression for horizontal and vertical translation | Led by @loopyl….

RT @loopyluppi: Very proud to share my latest work with the netneurolab, now out in @ScienceAdvances! 🐒🧠 🧬 Translational neuroscience from….

RT @carolinamak15: an absolute tour de force! Congrats @goliashf & team!!!!.

RT @carolinamak15: Since good news feels rare these days, excited to share a win - My R00 was awarded! Will be looking for a postdoc soon t….

RT @sattertt: Ecstatic to see the RBC paper out!! MAJOR congrats to all-star first-author @goliashf. RBC has been an amazing collab betwe….

(17/17) @TylerMoore1981, @taylor_salo, @TaperaTinashe, @Monica_E_C, @ColcombeStan, @chrisdav66, Raquel Gur, @ruben_gur, Pedro M Pan, @JackowskiAndrea, @arokem, @larohde1204, @takishinohara, @DANLAB_Columbia, @zuoxinian, @CieslakMatt, @Alex_R_Franco, @g_kiar, @gsalumjr.

(16/17) It’s been an absolute pleasure to work with the RBC team – including but not limited to the teams at @childmindinst, NKI, Penn, #PennLINC, and beyond –. @mau_hoffmann, Lei Ai, @Andrew_AChen, @Jon_Clucas, @SydneyCovitz, @SteveGiavasis, Connor Lane, @kahini_mehta, . .

(15/17) Massive thanks to all our collaborators and co-authors (, especially my awesome co-first author @nathaliaesper and the fabulous RBC leadership – @sattertt and @MilhamMichael.

(14/17) RBC data is also accompanied by a website to help facilitate data access and maintenance (. If you need any help with RBC, find us on INCF NeuroStars using the RBC tag (.

(13/17) But perhaps the most exciting part of RBC? It is SUPER easy to access. Since everything is 100% anonymized (T1s refaced!) there’s no DUA or forms. Just download it from AWS using Datalad via INDI. BIG thanks to @awscloud for supporting open science!!!.

(12/17) Additionally, we found that higher overall psychopathology was associated with greater connectivity between the default mode and frontoparietal networks, suggesting a loss of normative developmental network segregation.

(11/17) The existing literature on associations between major dimensions of psychopathology and imaging features have been more varied. Our analysis of RBC data demonstrated that reduced SA and GMV (but not CT) were linked to higher overall psychopathology.

(10/17) Consistent with previous literature, we found evidence for a decline in between-network functional connectivity paired with increases in within-network connectivity, suggesting that resting-state networks become more segregated during development.

(9/17) To illustrate the utility of RBC, we also examined how neuroimaging features were related to participant age and overall psychopathology. Aligning with prior work, we found evidence for a decline in structural features during development following QC and harmonization.

(8/17) Emphasizing the “R” In RBC – every step of image curation and processing used @datalad and the “FAIRly-big” workflow to ensure full transparency and reproducibility – users can track all steps + rerun the pipelines as needed. MANY thanks to the amazing  @datalad team!!!