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BrainDS + fMRI · Function

After “where it is” comes “how it works.”

BrainDS + fMRI is a research module in development. It will extend the BrainDS suite from structure and signal to function — how brain regions interact over time — for research hospitals, institutes and neuroscience teams.

Research module · In development: Not yet available. Open to research collaboration; not intended for clinical use.

  • Resting-state fMRI
  • Network connectivity
  • Group comparison
  • Research use
BrainDS + fMRI demo window comparing group-average connectivity matrices of control and dementia groups, with mean and peak connectivity by region, with subject details masked
Page from an internal resting-state fMRI signal-quality report comparing temporal SNR maps without and with the dielectric pad
Fig. 01BrainDS + fMRI research prototype on demo data (ADNI sample), with a page from an internal rs-fMRI signal-quality report. Illustrative only; subject details masked.
01 / Rationale

Why add function?

Volumetry and PET describe the brain at a single moment. Functional MRI records the BOLD signal over several minutes, so it can show which regions fluctuate together — a view of network organisation that neither structure nor tracer uptake provides.

Networks, not just regions

Connectivity analysis treats the brain as a network: regions are nodes, and the strength of their co-fluctuation over time forms the links between them.

LR
Fig. 02Schematic illustration of a brain network — not patient data and not a product screenshot.
02 / Workflow

How the module is designed to work

The planned workflow follows the same pattern as the rest of the suite. Every step below is in development.

  1. 01

    Import

    Load a resting-state BOLD fMRI series together with the participant’s T1-weighted anatomical scan.

  2. 02

    Check quality

    Report head motion and signal-quality measures first, so unreliable runs are identified before analysis.

  3. 03

    Map networks

    Estimate connectivity between the regions of large-scale networks, such as the default mode network.

  4. 04

    Compare and report

    Compare individuals or groups with reference cohorts and export the results for research review.

03 / Capabilities

What we are building

Planned capabilities, shaped with research partners.

In development

Network connectivity

Region-to-region connectivity within large-scale brain networks from resting-state fMRI.

In development

Matrices and network graphs

Connections explored as a matrix or an interactive graph, with thresholds to focus on the strongest links.

In development

Group comparison

Individuals or groups compared with reference cohorts to highlight connections that differ.

In development

Quality control

Motion and signal-quality measures reported alongside every result.

In development

Activation mapping

Task-related activation maps for study designs that use tasks, complementing connectivity.

In development

One suite

Designed to run in the same on-premise environment as BrainDS and BrainDS + PET.

04 / Prototype

An early look at the interface

Three views from the research prototype running on public research data: the network overview, a directed network graph and a region-to-region connectivity matrix.

BrainDS + fMRI research prototype overview with a region connectivity radar and a default-mode-network viewer, with subject details masked
Fig. 03Network overview
BrainDS + fMRI research prototype with a directed connectivity graph between ten default-mode-network regions, with subject details masked
Fig. 04Directed network graph
BrainDS + fMRI research prototype with a ten-by-ten region connectivity matrix, with subject details masked
Fig. 05Connectivity matrix

Research prototype — illustrative only. It is not part of the current BrainDS build, and the values shown are not validated results. Subject details are masked; assistant and summary text is blurred.

05 / Acquisition

Signal quality starts at acquisition

Connectivity estimates depend on a stable signal over time. In an internal single-volunteer pilot at 3T, median temporal SNR was 16% higher with MTechLab’s dielectric pad, with the largest gain in mid-brain slices.

Line chart of median temporal SNR by slice, higher with the dielectric pad than without it across most mid-brain slices
Fig. 06Median temporal SNR by slice, without and with the pad.
Temporal SNR maps of one mid-brain slice without and with the pad, and the difference map
Fig. 07Temporal SNR maps (slice 26) and the pad − no-pad difference.

Internal pilot with one volunteer; the pad scan was acquired second and the data were not preprocessed. Not a validation study.

06 / Research

Grounded in connectivity research

Members of our research team have published seed-based resting-state functional-connectivity studies at 3T. BrainDS + fMRI builds on that methodological experience.12

These are academic studies, not validations of BrainDS + fMRI.

07 / Specifications

Planned specifications

Input
Resting-state BOLD fMRI with a T1-weighted anatomical scan
Analyses
Network connectivity · activation mapping
Views
Connectivity matrix · network graph · group comparison · quality control
Users
Research hospitals, institutes and neuroscience teams
Deployment
The on-premise BrainDS environment
Status
Research module in development · not for clinical use
08 / FAQ

FAQ

Is BrainDS + fMRI available now?

Not yet. It is a research module in development. We welcome research partners who want to help shape its analyses and their validation.

What data will it use?

Resting-state BOLD fMRI time series in DICOM or NIfTI format, together with a T1-weighted anatomical scan.

Will it be used for diagnosis?

No. BrainDS + fMRI is intended for research use only.

How does it relate to BrainDS and BrainDS + PET?

It is planned as the third module of the suite: BrainDS measures structure, BrainDS + PET quantifies tracer signal, and BrainDS + fMRI will analyse function.

Shape the module with us

We are looking for research hospitals, institutes and neuroscience teams to collaborate on BrainDS + fMRI.