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Infrastructure & Services

The BCNI's mission is to provide more coherent and complementary facilities and services, equipment, hard and software, towards comprehensive multimodal brain imaging and absolutely necessary centralized and user-friendly data analysis.
The overarching goal is to team-up to better understand and quantify the “Cognitive Human Brain Network in Health and Disease”: to facilitate behavioral, cognitive and clinical NS research, multimodal brain imaging, data analysis and visualization, training of HQP, knowledge translation, basic/clinical applications, developing neuro-diagnostic and prognostic biomarkers, and developing/monitoring new innovative interventional strategies. 
 

Harboring and expansion of centralized brain imaging expertise and software development to the cluster, complementary to efforts by FAS and MIAL.

 

 

 

 

Data analysis-visualization area

The BCNI provides a larger area for multimodal brain imaging analysis and visualization, including “5 Workstations” with direct access to the FAS Colony-Cluster’s centralized platform and user-friendly and semi-automatic multimodal data analysis, “2 Terminals” directly connected to the FAS-Cluster centralized visualization (unix-based and window-based), additional “powerful local PC’s”, and a web-based “color-laser printer”. The area further provides a larger work-discussion area with white-boards and projector, suitable for scientific or training workshops.

- Expertise and training in brain imaging and data signal processing, complementary to training provided by FAS and MIAL.

 

BCNI implemented commercial BESA software to cluster analysis/visualization:

  •  BESA-Research Complete: CE certified software package for comprehensive, fast and user-friendly analysis of dynamic MEG and EEG brain imaging data including: Data handling (import, export, review, preprocessing, artifact correction, rejection), Montage Editor, ICA and source montages, 3D whole mapping, averaging, ERP displays/tools, standard and individual head models, discrete source localization, 3D source imaging, source import and export, time/frequency analysis, source coherence, batch scripts and automated processing, co-registration with individual MRIs, statistical analysis.

  • BESA-MRI: CE certified clinical software package to co-register MEG/EEG/MRI data and create realistic FEM models for MEG and EEG source analysis, including: workflow fully integrated, data input and output (standard formats), registration, coordinate space transformation, inhomogeneity correction, segmentation, FEM models, co-registration.

  • BESA-Statistics: CE certified software package for cross-subject statistics of MEG and EEG data including: data input, preliminary statistics, cluster permutation statistics, various comprehensive statistics, exporting data.

 

Centralized software packages

Portable EEG scanner: The BCNI’s portable EEG system allowing further complementary dynamic brain imaging capabilities directly into the multidisciplinary research and public community.

 

Portable brain imaging

The BCNI’s behavioral/clinical assessment area includes: 1 portable laptop with behavioral assessment software, 1 portable eye-tracker (including Laptop), and 1 portable EEG scanner (including 2 laptops), available to the brain imaging community at large, especially across SFU’s related disciplines.

Assessment area
SFU's Colony Cluster

BCNI joining the SFU’s (FAS) computer colony-cluster:

The BCNI teams up with FAS and MIAL and adds additional features and services:

  • Priority access to all cluster-cores (391GB CPU) for BCNI Associates (at all times).

  • New: Adding centralized software (freeware, in-house, commercial) to the cluster for all multimodal imaging analysis, accessible from the BCNI or remotely.

  • New: Development of centralized user-friendly and semi-automatic cluster pipelines complementary for multimodal brain imaging data analysis.

  • Implemented two centralized visualization components: for now both unix-based, and later (1) unix-based and (1) virtually unix- and window-based for visualization of multimodal imaging data. The visualization is separate from cluster processing.

  • Implemented 10TB storage disk for the BCNI (to load software, work and store).

  • Implemented BCNI network connection upgrade to 1 Gbit.

A large conference/networking area within the BCNI, including WIFI, smart-board, projectors and white-boards made available to the research community at large across disciplines and institutions, to allow further collaborative discussions on imaging technology, data analysis strategies and applied/translational research, knowledge translation and intervention.

 

> book online and click below;

> if doors are locked at time of meeting, contact Psych IT (Richard Blackwell).

Networking area
Continuing Developments

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  • BCNI Training (Brain Imaging and Analysis): Alex Moisseev, together with various other multimodal imaging experts, to have training sessions and assistance for students/scientists.

The BCNI facilitates the access to multimodal brain imaging facilities across disciplines and institutions.

SFU (EEG)

CFRIF - BC Children Hospital (MRI, fMRI / EEG)

UBC - CBH (MRI,fMRI, PET, MEG, EEG)

SFU - Surrey Memorial Hospital (MEG)

 

 Git Lab and Pipelines
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Centralization and integration of various pipelines into GitLab platform for facilitating multimodal brain imaging analysis:

-  Depository for MEG/EEG and analysis,

 - Depository for MRI/fMRI and analysis,

 - Depository for stimulation procedures,

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Access to platform's centralized versions of newest packages, and algorithms (stability and flexibility) (1) easily and safely accessible by everyone for those only interested in analysis only. (2) For those who want to do further software development can take them out and perform further upgrades; upon further testing and overall agreement, these upgrades can be then also centralized for everybody to use. Everybody can further use their own versions in the background

September 2018

BCNI - Collaborating to improve the human brain

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