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Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction

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Published in:Brain Informatics
Format: Online Article RSS Article
Published: 2026
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container_title Brain Informatics
description
discipline_display Psychiatry and Neurology
discipline_facet Psychiatry and Neurology
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genre Journal Article
id rss_article:58935
institution FRELIP
journal_source_facet Brain Informatics
last_indexed 2026-06-20T21:20:55.268Z
publishDate 2026
publishDateSort 2026
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spellingShingle Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction
Psychiatry and Neurology
General
Psychiatry and Neurology
sub_discipline_display General
sub_discipline_facet General
subject_display Psychiatry and Neurology
General
Psychiatry and Neurology
subject_facet Psychiatry and Neurology
General
Psychiatry and Neurology
title Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction
title_alt Evaluación comparativa de pipelines de conectividad fMRI en estado de reposo para clasificación: precisión robusta a pesar de la variabilidad de procesamiento en la predicción del estado ocular entre sitios
Évaluation comparative des pipelines de connectivité IRMf au repos pour la classification : précision robuste malgré la variabilité de traitement dans la prédiction de l'état oculaire inter-sites
Benchmarking de pipelines de conectividade fMRI em estado de repouso para classificação: precisão robusta apesar da variabilidade de processamento na predição de estado ocular entre sites
title_auth Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction
title_es_txt Evaluación comparativa de pipelines de conectividad fMRI en estado de reposo para clasificación: precisión robusta a pesar de la variabilidad de procesamiento en la predicción del estado ocular entre sitios
title_fr_txt Évaluation comparative des pipelines de connectivité IRMf au repos pour la classification : précision robuste malgré la variabilité de traitement dans la prédiction de l'état oculaire inter-sites
title_full Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction
title_fullStr Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction
title_full_unstemmed Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction
title_pt_txt Benchmarking de pipelines de conectividade fMRI em estado de repouso para classificação: precisão robusta apesar da variabilidade de processamento na predição de estado ocular entre sites
title_short Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction
title_sort benchmarking resting state fmri connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction
topic Psychiatry and Neurology
General
Psychiatry and Neurology
url https://link.springer.com/article/10.1186/s40708-026-00305-1