Author

Armin Heinecke

ORCID 0000-0001-9934-6543Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Assay:imaging· 1

Frequent Co-Authors

Bettina SorgeriD· 2 shared Foivos KotsogiannisiD· 2 shared João PereiraiD· 2 shared Michael LührsiD· 2 shared Sophie RaibleiD· 2 shared Assunta CiarloiD· 1 shared Bruno DireitoiD· 1 shared Daniëlle EvenblijiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Bettina SorgerORCID

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2 papers

Recent·Most cited

All signals considered: Data quality partially explains inter-individual task differences in a large, open fNIRS dataset

Sophie Raible, João Pereira, Foivos Kotsogiannis, Bruno Direito, Teresa Sousa, Manuela da Cunha Seiffert, Rik Lavicka, Vendija Skeltona, Daniëlle Evenblij, Assunta Ciarlo, Armin Heinecke, Jacqueline Gädtke, Zeus Tipado, David M. A. Mehler, Simon H. Kohl, , Bettina Sorger

The paper examines how signal quality affects inter-individual variability in fNIRS data and introduces an open dataset with multi-task recordings and peripheral physiology measures.

bioRxiv · Sep 1, 2026 · PreprintNeuroscience

Independent Component Analysis Outperforms Seed-Based Approach in Detecting fNIRS-based Resting-State Functional Connectivity

Foivos Kotsogiannis, Sophie Raible, João Pereira, Armin Heinecke, Simona Klinkhammer, Bettina Sorger, Michael Lührs

This paper compares methods for detecting resting-state functional connectivity using fNIRS, finding that independent component analysis (ICA) outperforms seed-based approaches in accuracy and cross-chromophore consistency.

bioRxiv · Feb 18, 2026 · PreprintNeuroscience