WG3 - Automated Preprocessing Pipelines
WG3: Automated Preprocessing Pipelines
Preprocessing is a critical step in preparing neuroimaging data for analysis, but current practices are often ad hoc and poorly documented. Working Group 3 (WG3) aims to map out the body of established preprocessing procedures to enhance transparency, reproducibility, and interoperability. Focusing initially on EEG and MEG, and drawing on established MRI practice, the Group defines best practices and documentation standards for preprocessing pipelines. The outcome is clearer, more reusable pipelines that support consistent and trustworthy analyses across research sites.
WG3 is co-chaired by Oscar Esteban (HES-SO Valais-Wallis) and Guiomar Niso (Cajal Institute CSIC).
Questions? See the contact page or write to the WG3 mailing list.
Task forces
- TF1 — Inventory of tools and workflows. A taxonomy and survey of preprocessing tools and workflows across modalities. Led by Friedrich Carrle.
- TF2 — Literature review on preprocessing and provenance. A pre-registered systematic review of preprocessing practices and how they are reported.
- TF3 — Training materials. Preprocessing training resources for the community, led by Başak Esin Köktürk Güzel.
Activities
Federated Journal Club
The Federated Journal Club is a trainee-oriented reading activity, transversal across WG3’s Task Forces, in which participants collaboratively read and critically annotate the neuroimaging-preprocessing literature across nine imaging modalities plus a cross-modality methods category. It is open to everyone — no INDoS membership required — and especially welcomes trainees and early-career researchers.
Everything you need to take part — eligibility, how to claim and review papers, a guide on how to read a paper, and the live leaderboard — lives on the dedicated Federated Journal Club site.