Sep. 18, 2020
BALSA has been updated to include versioning, which allows study owners to track changes to their shared scene data from the study page and continue to edit a working version of the dataset even when the study is in public, approved, or submitted status. All instructions on the Submit Data to BALSA pages have been updated as well.
Jun. 08, 2019
BALSA is at 2019 OHBM in Rome June 9-13! Come see BALSA study creation, upload, and curation in action at Table Top #1 (next to the bar)! Learn about creating scenes in Connectome Workbench, the process of contributing your own studies for public sharing or private collaboration, and publicizing your study and associated publication.
May. 24, 2018
BALSA is now accepting user-submitted study data! Click the button labelled 'About Data Submission' to get started.
Jul. 20, 2016
Nature study now available in BALSA: A Multi-modal Parcellation of Human Cerebral Cortex!

Major results by Human Connectome Project ( investigators using HCP data and methods were published in Nature July 20, 2016.

The study, A multi-modal parcellation of human cerebral cortex, led by Matthew Glasser and David Van Essen of Washington University, used information derived from structural and functional MRI data collected on 210 HCP subjects to create a new 180 region per hemisphere map of the cerebral cortex of the human brain, including 97 new areas not previously reported using other approaches. The new cortical map is being referred to as HCP Multimodal parcellation, version 1 (HCP_MMP1.0), as updated versions are expected as more detailed data becomes available in future.

The multimodal surface matching algorithm pioneered by HCP investigators at Oxford U was key in precisely aligning the individual brains before analysis. The maps were then applied to individuals from an independent set of 210 HCP subjects using a machine-learning classifier to recognize the multi-modal ‘fingerprint’ of each cortical area.

The parcellation and Connectome Workbench scenes for each of the main article and supplemental figures are being shared in BALSA:

The parcellation for use as a reference is most easily accessed in the Glasser_et_al_2016_HCP_MMP1.0_5_StudyDataset.scene ( study dataset.
Jun. 22, 2016
Journal of Neuroscience study added: Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A quantitative comparison with Tracers in the Monkey

This study compares high resolution connectivity derived from diffusion tractography with
published results using neuroanatomical tracers.  The authors found the correlation of tractography’s quantitatively estimated connection strengths versus tracer to be twice that of a previous study. Using a novel method for calculating interareal cortical distances, they showed that tractography based estimates of connection strength have useful predictive power beyond just interareal separation.
Mar. 25, 2016
BALSA Alpha now live!