Connectome brain fingerprinting: terminology, measures, and target properties
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866916781917995008 |
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| author | Fraschini, Matteo Demuru, Matteo Marinazzo, Daniele Didaci, Luca |
| author_facet | Fraschini, Matteo Demuru, Matteo Marinazzo, Daniele Didaci, Luca |
| contents | Distinguishing one person from another (what biometricians call recognition) is extremely relevant for different aspects of life. Traditional biometric modalities (fingerprint, face, iris, voice) rely on unique, stable features that reliably differentiate individuals. Recently, the term fingerprinting has gained popularity in neuroscience, with a growing number of studies adopting the term to describe various brain based metrics derived from different techniques. However, we think there is a mismatch between its widely accepted meaning in the biometric community and some brain based metrics. Many of these measures do not satisfy the strict definition of a biometric fingerprint that is, a stable trait that uniquely identifies an individual. In this study we discuss some issues that may generate confusion in this context and suggest how to treat the question in the future. In particular, we review how fingerprint is currently used in the neuroscience literature, highlight mismatches with the biometric community definition, and offer clear guidelines for distinguishing genuine biometric fingerprints from exploratory similarity metrics. By clarifying terminology and criteria, we aim to align practices and facilitate communication across fields. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_05769 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Connectome brain fingerprinting: terminology, measures, and target properties Fraschini, Matteo Demuru, Matteo Marinazzo, Daniele Didaci, Luca Quantitative Methods Neurons and Cognition Distinguishing one person from another (what biometricians call recognition) is extremely relevant for different aspects of life. Traditional biometric modalities (fingerprint, face, iris, voice) rely on unique, stable features that reliably differentiate individuals. Recently, the term fingerprinting has gained popularity in neuroscience, with a growing number of studies adopting the term to describe various brain based metrics derived from different techniques. However, we think there is a mismatch between its widely accepted meaning in the biometric community and some brain based metrics. Many of these measures do not satisfy the strict definition of a biometric fingerprint that is, a stable trait that uniquely identifies an individual. In this study we discuss some issues that may generate confusion in this context and suggest how to treat the question in the future. In particular, we review how fingerprint is currently used in the neuroscience literature, highlight mismatches with the biometric community definition, and offer clear guidelines for distinguishing genuine biometric fingerprints from exploratory similarity metrics. By clarifying terminology and criteria, we aim to align practices and facilitate communication across fields. |
| title | Connectome brain fingerprinting: terminology, measures, and target properties |
| topic | Quantitative Methods Neurons and Cognition |
| url | https://arxiv.org/abs/2506.05769 |