fNIRS reproducibility varies with data quality, analysis pipelines, and researcher experience

A. Yücel, Meryem; Luke, Robert; C. Mesquita, Rickson; von Lühmann, Alexander; M. A. Mehler, David; Lührs, Michael; Gemignani, Jessica; Abdalmalak, Androu; Albrecht, Franziska; de Almeida Ivo, Iara; Artemenko, Christina; Ashton, Kira; Augustynowicz, Paweł; Bajracharya, Aahana; Bannier, Élise; Barth, Beatrix; Bayet, Laurie; Behrendt, Jacqueline; Borjkhani, Hadi; Borot, Lenaic; A. Borrell, Jordan; Brigadoi, Sabrina; Brink, Kolby; Bulgarelli, Chiara; Caruyer, Emmanuel; Chen, Hsin‐Chin; Copeland, Christopher; Corouge, Isabelle; Cutini, Simone; Di Lorenzo, Renata; Dresler, Thomas; T. Eggebrecht, Adam; Ehlis, Ann‐Christine; Burcu Erdoğan, Sinem; Evenblij, Daniëlle; Raian Ferdous, Talukdar; Fracalossi, Victoria; Franzén, Erika; Gallagher, Anne; Gerloff, Christian; Gervain, Judit; Goldhamer, Noy; K. Gossé, Louisa; M. R. Guérin, Ségolène; Guevara, Edgar; M. Hadi Hosseini, S.; Innes-Brown, Hamish; Int-Veen, Isabell; Jaffe‐Dax, Sagi; Jégou, Nolwenn; Kawaguchi, Hiroshi; Kelsey, Caroline; Kent, M.; Kessler, Roman; Kherbawy, Nadeen; Klein, Franziska; Kochavi, Nofar; Kolisnyk, Matthew; Koren, Yogev; Kroczek, Agnes; Kvist, Alexander; P. Lin, Chen-Hao; Löw, Andreas; Luan, Siying; Mao, Darren; Grisotti Martins, Giovani; Middell, Eike; Montero‐Hernández, Samuel; Can Mutlu, Murat; L. Novi, Sergio; Paquette, Natacha; Paranawithana, Ishara; Parmet, Yisrael; E. Peelle, Jonathan; Peng, Ke; Peng, Tommy; Pereira, João; Pinti, Paola; Pollonini, Luca; Rahimpour Jounghani, Ali; Reindl, Vanessa; Ringels, Wiebke; Schopp, Betti; Schulte, Alina; Schulte‐Rüther, Martin; Segel, Ari; Seifi, Tirdad; J. Shader, Maureen; Shavit, Hadas; Sherafati, Arefeh; Soltanlou, Mojtaba; Sorger, Bettina; Speh, Emma; Stubbs, Kevin; Stute, Katharina; Sullivan, Eileen; Tak, Sungho; Tipado, Zeus; Tremblay, Julie; Vahidi, Homa; Van Eeckhoutte, Maaike; Vannasing, Phetsamone; Vergotte, Grégoire; Vincent, Marion; Oberwelland Weiß, Eileen; Yang, Dalin; Yükselen, Gülnaz; Zapała, Dariusz; Zemanek, Vit

doi:10.1038/s42003-025-08412-1

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fNIRS reproducibility varies with data quality, analysis pipelines, and researcher experience

Published in Communications Biology • Aug 4, 2025

Authors:

Meryem A. Yücel

Robert Luke

Rickson C. Mesquita

Abstract

As data analysis pipelines grow more complex in brain imaging research, understanding how methodological choices affect results is essential for ensuring reproducibility and transparency. This is especially relevant for functional Near-Infrared Spectroscopy (fNIRS), a rapidly growing technique for a...

Subject

Transparency (behavior)

Reproducibility

Reliability (semiconductor)

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