From 9c3998d26ceea57c20e67b1ad99b87e942c9119d Mon Sep 17 00:00:00 2001 From: crnolan Date: Thu, 28 Nov 2024 02:10:53 +0000 Subject: [PATCH] deploy: 7b5b134b2543e39fe5650a357f9e895020929ce1 --- index.html | 22 ++-------------------- index.json | 2 +- project/project_19/index.html | 6 +++--- sitemap.xml | 2 +- 4 files changed, 7 insertions(+), 25 deletions(-) diff --git a/index.html b/index.html index 9c96ea8..10a7bdb 100644 --- a/index.html +++ b/index.html @@ -17,29 +17,11 @@           -

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Nov 27, 2024 — Nov 29, 2024 - -Faculte des Sciences Medicales et Paramedicales secteur Timone (Aix-Marseille Universite)
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Christopher Nolan

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analysis","type":"project"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1730443587,"objectID":"3edccd73804c63f2cfd72bc697ff16e3","permalink":"https://www.brainhack.org/global2024/project/project_14/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/global2024/project/project_14/","section":"project","summary":"","tags":null,"title":"TIYA: Tune Into Your heArt","type":"project"}] \ No newline at end of file diff --git a/project/project_19/index.html b/project/project_19/index.html index 357083f..76cb2a0 100644 --- a/project/project_19/index.html +++ b/project/project_19/index.html @@ -1,7 +1,7 @@ -EEL-Hack: Learning to develop an mTRF pipeline with eelbrain | Brainhack Global 2024

EEL-Hack: Learning to develop an mTRF pipeline with eelbrain

Last updated on -Nov 7, 2024

Title

EEL-Hack: Learning to develop an mTRF pipeline with eelbrain

Leaders

Noemi Bonfiglio +Nov 21, 2024

Title

EEL-Hack: Learning to develop an mTRF pipeline with eelbrain

Leaders

Noemi Bonfiglio Vincenzo Verbeni

Collaborators

Nan

Brainhack Global 2024 Event

Brainhack Donostia

Project Description

The Multivariate Temporal Response Function (mTRF) method is an advanced technique used to model the relationship between various features of an auditory stimulus—such as acoustic (e.g., sound envelope) and lexical (e.g., word boundaries, semantic information) features—and the brain’s electrical activity as measured by M/EEG signals. This approach provides insights into how the brain processes auditory information over time, enabling researchers to link neural dynamics with complex auditory inputs. In this project, we will walk through the process of analyzing EEG data using the mTRF method, leveraging the Python toolbox Eelbrain to manage data, prepare predictors, and analyze results. The main steps involved in this project will be:

1. Converting Data Structure from BIDS to Eelbrain Format

The BIDS format is a standardized organization of M/EEG datasets, but Eelbrain uses a different structure for managing and analyzing data. Therefore, we will organize the data according to Eelbrain’s requirements.

2. Defining the Experiment Design

Once the data has been converted, the next step is to define the experiment design. This involves inspecting the events recorded in the EEG data, which mark key moments such as stimulus presentation or participant responses, and ensuring they are correctly aligned with the corresponding auditory stimuli. This step is crucial because accurate event marking is essential for relating the brain signals to specific time points in the stimuli.

3. Building an experiment.py Script According to the Design

With the experiment design in place, we will implement the design in a Python script, experiment.py, which automates the process of loading and organizing the data for analysis. This script will: Load the EEG data and events from the converted Eelbrain format. @@ -13,7 +13,7 @@ issue 3: building an experiment.py script according to the design issue 3: prepare the predictors (e.g., gammatones) issue 4: fit an mTRF at the group level -issue 5: plotting the mTRF results

Communication channels

NaN

Skills

  • basic python skills
  • basic knowledge of electrophysiological data

Onboarding documentation

NaN

What will participants learn?

How to use Eelbrain

Data to use

A link will be provided to a public repository of EEG data.

Number of collaborators

2

Credit to collaborators

Project contributors will be listed in the project’s README.

Image

Leave this text if you don’t have an image yet.

Type

pipeline_development

Development status

1_basic structure

Topic

neural_encoding

Tools

MNE

Programming language

Python

Modalities

EEG

Git skills

0_no_git_skills

Anything else?

No response

Things to do after the project is submitted and ready to review.

  • Add a comment below the main post of your issue saying: Hi @brainhackorg/project-monitors my project is ready!
  • Twitter-sized summary of your project pitch.

Date
Jan 1, 0001 12:00 AM
+issue 5: plotting the mTRF results

Communication channels

NaN

Skills

  • basic python skills
  • basic knowledge of electrophysiological data

Onboarding documentation

NaN

What will participants learn?

How to use Eelbrain

Data to use

The following is a link to the EEG dataset (published in BIDS format on OSF) that we will use for our project:

https://osf.io/xq263/

Number of collaborators

2

Credit to collaborators

Project contributors will be listed in the project’s README.

Image

Leave this text if you don’t have an image yet.

Type

pipeline_development

Development status

1_basic structure

Topic

neural_encoding

Tools

MNE

Programming language

Python

Modalities

EEG

Git skills

0_no_git_skills

Anything else?

No response

Things to do after the project is submitted and ready to review.

  • Add a comment below the main post of your issue saying: Hi @brainhackorg/project-monitors my project is ready!
  • Twitter-sized summary of your project pitch.

Date
Jan 1, 0001 12:00 AM
diff --git a/sitemap.xml b/sitemap.xml index bd8ebec..9dcf5f2 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -1 +1 @@ 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