ArticleBiomedical optics express2019
Identifying individuals using fNIRS-based cortical connectomes.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The trial behind it
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Who cites it
13 citing papers in PubMed.
- Disrupted functional connectivity during stroke recovery revealed via bedside optical neuroimaging.Neurophotonics · 2026Article
- Spine-Prints: Transposing Brain Fingerprints to the Spinal Cord.bioRxiv : the preprint server for biology · 2025Article
- Fingerprints of brain disease: connectome identifiability in Alzheimer's disease.Communications biology · 2024Article
- Neural fingerprinting on MEG time series using MiniRocket.Frontiers in neuroscience · 2023Article
- Revealing the spatiotemporal requirements for accurate subject identification with resting-state functional connectivity: a simultaneous fNIRS-fMRI study.Neurophotonics · 2023Article
- Identification of individual subjects based on neuroanatomical measures obtained 7 years earlier.The European journal of neuroscience · 2022Article
- Differences in brain activity between fast and slow responses on psychomotor vigilance task: an fNIRS study.Brain imaging and behavior · 2022Article
- Theoretical investigation of photon partial pathlengths in multilayered turbid media.Biomedical optics express · 2022Article
- Brief segments of neurophysiological activity enable individual differentiation.Nature communications · 2021Observational
- Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study.Frontiers in neuroscience · 2021Article
- Predictive modeling of neurobehavioral state and trait variation across development.Developmental cognitive neuroscience · 2020Review
- Amplitude of fNIRS Resting-State Global Signal Is Related to EEG Vigilance Measures: A Simultaneous fNIRS and EEG Study.Frontiers in neuroscience · 2020Article
- Spine-prints: Transposing brain fingerprints to the spinal cord.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The fMRI-based functional connectome was shown to be sufficiently unique to allow individual identification (fingerprinting). We aimed to test whether a fNIRS-based connectome could also be used to identify individuals. Forty-four participants performed experimental protocols that consisted of two periods of resting-state interleaved by a cognitive task period. Connectome identification was performed for all possible pairwise combinations of the three periods. The influence of hemodynamic global variation was tested using global signal regression and principal component analysis. High identification accuracies well-above chance level (2.3%) were observed overall, being particularly high (93%) to the oxyhemoglobin signal between resting conditions. Our results suggest that fNIRS is a suitable technique to assess connectome fingerprints.
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Registered trials
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