Collaborative

Brain Wave Analysis Pipeline

Robin Gutzen  &  Giulia De Bonis

r.gutzen@fz-juelich.de

giulia.debonis@roma1.infn.it

on behalf the development team

The Context

Cortical Wave Activty

(in different frequency ranges)

is thought to ...

degree of consciousness

Koch et al. (2016)

Dasilva et al. (2021)

Pazienti et al. (2022)

indicate

attention

Ermentrout & Kleinfeld (2001)

Fries et al. (2001)

Lakatos et al. (2008)

Jensen et al. (2021)

Bhattacharya et al. (2022)

gate

information processing

Fries (2005)

Roland et al. (2006)

Xu et al. (2007)

van Kerkoerle et al. (2014)

Michalareas et al. (2016)

coordinate

task performance

Zhang et al. (2018)

Davis et al. (2020)

predict

working memory

Jutras et al. (2013)

Bhattacharya et al. (2022)

maintain

neurological disorders

Alexander et al. (2009)

Ferrarelli et al. (2007)

Dasilva et al, (2020)

Sato et al. (2022)

potentially mark

classification learning

Tonielli et al. (2022)

improve

sleep quality

Massimini et al. (2004)

Huber et al. (2004)

Muller et al. (2016)

underlie

The Team

combining expertise in

  • data analysis
  • software development
  • neural recording techniques
  • signal processing
  • brain modeling and simulation
  • data management

emphasizing our values of

  • open science & open-source
  • rigor & reproducibility
  • reusability
  • interoperability

Creators and Developers

Giulia De Bonis

Chiara De Luca

Cosimo Lupo

Irene Bernava

Alessandra Cardinale

Pier Stanislao Paolucci

Robin Gutzen

Sonja Grün

Michael Denker

Andrew Davison

Andrea Pigorini

Marcello Massimini

Gianluca Gaglioti

Thierry Nieus

Maurizio Mattia

Advisory

Partners

Experimental (alpha) Customers

Anna Allegra Mascaro

Francesco Resta

Francesco Pavone

Eric Landness

Ben Miao

Thomas Brochier

Alexa Riehle

Arnau Manasanch

Maria V. Sanchez-Vives

The Tool

Problem:

Results are not comparable across domains and data sources.

EEG

M EG

ECoG

Calcium Imaging

Implanted

Arrays

Model

Simulation

...

spatio-temporal

activity data

Approach:

Creating modular shared components
operating on common standardized descriptions.

 

Gutzen et al. (in review)

Cell Press Methods

https://cobrawap.readthedocs.io

Goals:

Providing reusable analysis workflows for relating knowledge across neuroscience domains.

common
brain wave characterizations

cross-domain

comparisons

The Services

Development of the

open-source tool base

  • implement requested new features
  • support academic research
  • maintain interfaces within the
    open-source software ecosystem

Hardware/Software Manufacturing

  • provide compatibility for data formats
  • integrate into commercial products
  • enable cost-efficient interoperability and reuse of data and methods
  • support brain-computer interfaces and neurofeedback applications

Basic and Clinical Research

  • enable complex analyses to classify medical brain states
  • consult on workflow development
  • analyze of wave dynamics as a service
  • explore possibilities of diagnosis

Teaching/Training

  • empower scientists building open reproducible analysis workflows
  • facilitate exchange and collaboration by interfacing tools and data
  • increase scope of available methods

Dual-Licensing/Consultancy

The Services

Development of the

open-source tool base

Hardware/Software Manufacturing

Provide a convenient set-up

for vendors

Basic and Clinical Research

Offer a user-friendly service for applying scientific methods

Teaching/Training

Create a comfortable environment for students and academics

 

Supporting cutting-edge research

The Business

Current estimated value: 1Mio €

(based on public funding

 used over the past 5 years)

Ongoing public funding:

2023: 300k €

2024: 200k €

2025: 200k €

Estimated costs:

300k €/year

(mainly personnel)

self-sustaining after ~3 years

Revenue streams:

  • Development on demand
  • Premium product versions
  • Dual-Licensing/Consultancy
  • Trainings


BrainFlow

NiPy

Market Neighbours

Investment aim: 1Mio+ €

to become

based on

Business Model Canvas

Key partners
Key activities
Key resources
Key propositions
Customer relationships

Channels
Customer segments
Cost structure
Revenue streams

Experimental customers:
IDIBAPS, LENS, Uni. Milano, Uni. Aix-Marseille Uni. Washington

 

INCF: Connection to the neuroinformatics initiative

 

Andrew Davison: Development of core data models

 

Open-source community (Elephant, Neo, Nix, Snakemake) for feedback, support of interfaces

 

iBehave Network for training support

 

EBRAINS IT and Italian and German nodes

 

EBRAINS partners:
scientific and method. expertise

already existing

in progress

required

Cobrawap as a (EBRAINS) service

 

Creating teaching materials

 

Research of wave measures indicating specific brain states

 

Extending to MEG/EEG data (human data)

 

Improve computation efficiency (online & offline)

People maintaining and extending the development of Cobrawap

 

Access to HPC computers

 

Access to suitable brain activity data of different measurement modalities

 

 

Enable the use of complex analysis of brain wave activity to classify medical brain states

 

Facilitate the exchange and collaboration between scientists/clinicians/manufacturers by offering interfaces between tools and data formats, and reusable workflows

 

Empower scientists to build open, reproducible analysis workflows to save time and increase rigor

 

Increase the scope of available methodologies in the individual neuroscience disciplines

 

Maximize return-on-investment for manufacturers and researchers by integrating reusable workflow solutions

 

Promote a common language across neuroscientific domains for sharing and confronting results

 

Reduce the time-to-market for research projects

 

Initial surveying and

monthly during prototyping and evaluation

 

Trainings: half-yearly

 

Help-desk/ on-demand support

Personal contact of early adopters

 

Community Slack (or similar)

 

Mailing lists and newsletters

 

Conference booth attendance

 

Website, webinars, online trainings

 

Scientific publications

 

Promotion through social media

Doctors involved in clinical research

 

Scientists/students interested in the open-source analysis ecosystem

 

Manufacturers of recording hardware and software solutions

 

Companies interest in integrating our workflow solutions

Analysis as a service

 

Development on demand

(integrate data formats or methods)

Teaching and training

 

Dual-Licensing and Consulting

Personnel costs

 

Hardware and compute time

Travel and Marketing