METEOR

Mastering The Oppressive number of forking paths unfolded by noisy and complex neural data

This interactive shiny app allows you to investigate the multiverse of functional Magnetic Resonance Imaging (fMRI) data preprocessing and analysis based on graph theory.

Click on the node below to explore the features of this app:

PRISMA diagram

Literature review of articles related to graph fMRI studies.

Literature search:Three databases were searched: Scopus, Web of Science, and PubMed for publications containing the terms related to fMRI, graph theory, and cognitive abilities

Study inclusion: We only included empirical studies which report the preprocessing steps and deal with healthy subjects. Details can be found in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart on the right.

Data extraction: All data was coded by one coder. Other two coders coded the data independently for 25 articles each. The codes were then compared and the discrepancies were discussed. Information on the preprocessing steps and their respective parameters were extracted.

Defining the space from general fMRI articles

Defining the forking paths of graph fMRI studies

List of included articles for fMRI preprocessing steps (review 1)

List of included articles for graph fMRI and behavior studies (review 2)

List of identified steps

The METEOR project is based at the University of Oldenburg funded by priority program META-REP (SPP 2317). Meta-REP involves 15 individual projects with 50+ scholars analyzing and optimizing replicability in the Behavioral, Social, and Cognitive Sciences.

Our team

Hildebrandt, Andrea, Prof. Dr. rer. nat.

Project Investigator

Professor for Psychological Methods and Statistics, Carl von Ossietzky Universitat Oldenburg.

Debener, Stefan, Prof. Dr. rer. nat.

Project Investigator

Professor for Neuropsychology, Carl von Ossietzky Universitat Oldenburg.

Giessing, Carsten, Dr. rer. nat.

Project Investigator

Senior Scientist in Biological Psychology, Carl von Ossietzky Universitat Oldenburg.

Thiel, Christiane, Prof. Dr. rer. nat.

Project Investigator

Professor for Biological Psychology, Carl von Ossietzky Universitat Oldenburg.

Jacobsen, Nadine, Dr. rer. nat.

Postdoctoral Fellow

Carl von Ossietzky Universitat Oldenburg.

Kristanto, Daniel, PhD.

Postdoctoral Fellow

Carl von Ossietzky Universitat Oldenburg.

Short, Cassie, PhD.

Postdoctoral Fellow

Carl von Ossietzky Universitat Oldenburg.

Burkhardt, Micha Msc.

Doctoral student

Carl von Ossietzky Universitat Oldenburg.

METEOR

Mastering The Oppressive number of forking paths unfolded by noisy and complex neural data

This interactive shiny app allows you to investigate the multiverse of functional Magnetic Resonance Imaging (fMRI) data preprocessing and analysis based on graph theory.

Click on the node below to explore the features of this app:

PRISMA diagram

Literature review of articles related to graph fMRI studies.

Defining the space from general fMRI articles

Defining the forking paths of graph fMRI studies

List of included articles for fMRI preprocessing steps (review 1)

List of included articles for graph fMRI and behavior studies (review 2)

List of identified steps

List of identified parameters

Move the threshold to only see edges used by more artciles than the threshold.

Explore pairs of preprocessing steps used in combination. Select a step from the dropdown below to see which steps were are used in conjunction with this step.

Lollipop plot of the number of preprocessing steps use together with the step selected above. Selected step in red font. Color indicates the preprocessing group.

Investigate the order of preprocessing steps. Select a preprocessing step from the dropdown below to see which preprocessing steps were performed AFTER the selected one.

Lollipop plot of the number of processing steps used after the selected step. Selected step in red font. Color indicates the preprocessing group.

Explore the distribution of parameters chosen by different articles.

Lollipop plot of the number of articles using various parameters of the selected step.

Visualize the preprocessing steps taken by a specific article. Select the key of the article in the dropdown below to get a visualization of the preprocessing steps and to generate a table of the preprocessing steps. You can find the key of each study in the Database tab.

Visualize the parameters of preprocessing steps taken by a specific article. Select the code of the article in the dropdown below to get a visualization of the parameters of the preprocessing steps and to generate a table of the parameters. You can find the code of each study in the Database tab.

Click this Order button if you want to take the order of the steps into consideration.

Information here

The METEOR project is based at the University of Oldenburg funded by priority program META-REP (SPP 2317). Meta-REP involves 15 individual projects with 50+ scholars analyzing and optimizing replicability in the Behavioral, Social, and Cognitive Sciences.

Our team

Hildebrandt, Andrea, Prof. Dr. rer. nat.

Project Investigator

Debener, Stefan, Prof. Dr. rer. nat.

Project Investigator

Giessing, Carsten, Dr. rer. nat.

Project Investigator

Thiel, Christiane, Prof. Dr. rer. nat.

Project Investigator

Jacobsen, Nadine, Dr. rer. nat.

Postdoctoral Fellow

Kristanto, Daniel, PhD.

Postdoctoral Fellow

Short, Cassie, PhD.

Postdoctoral Fellow

Burkhardt, Micha Msc.

Doctoral student

Explore pairs of preprocessing steps used in combination.

Select a step from the dropdown below to see which steps were are used in conjunction with this step.

Investigate the order of preprocessing steps.

Select a preprocessing step from the dropdown below to see which preprocessing steps were performed AFTER the selected one.

Visualize the preprocessing steps taken by a specific article.

Select the key of the article in the dropdown below to get a visualization of the preprocessing steps and to generate a table of the preprocessing steps. You can find the key of each study in the Database tab.

Visualize the parameters of preprocessing steps taken by a specific article.

Select the code of the article in the dropdown below to get a visualization of the parameters of the preprocessing steps and to generate a table of the parameters. You can find the code of each study in the Database tab.