ArticleHuman brain mapping2020
Functional connectome fingerprinting accuracy in youths and adults is similar when examined on the same day and 1.5-years apart.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 53 citations in OpenAlex.
- Experience-dependent changes in functional connectome fingerprinting.Nature communications · 2026Article
- Functional brain organization is stable within individuals across years.bioRxiv : the preprint server for biology · 2026Article
- Subject fingerprinting and task classification rely on distinct functional connectivity features.Brain structure & function · 2026Article
- Large-scale comparative analysis reveals top graph signal processing features for subject identification.bioRxiv : the preprint server for biology · 2025Article
- Multimodal identification of the mouse brain using simultaneous CaCommunications biology · 2025Article
- Genetic contribution to intrinsic functional connectivity underlying general intelligence: evidence from adult twin study.Brain communications · 2025Article
- Local Gradients of Functional Connectivity Enable Precise Fingerprinting of Infant Brains During Dynamic Development.bioRxiv : the preprint server for biology · 2024Article
- Connectome-based fingerprinting: reproducibility, precision, and behavioral prediction.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Integrative, segregative, and degenerate harmonics of the structural connectome.Communications biology · 2024Article
- The Effect of Sleep Deprivation on Brain Fingerprint Stability: A Magnetoencephalography Validation Study.Sensors (Basel, Switzerland) · 2024Article
- High-accuracy machine learning techniques for functional connectome fingerprinting and cognitive state decoding.Human brain mapping · 2023Article
- Graph-matching distance between individuals' functional connectomes varies with relatedness, age, and cognitive score.Human brain mapping · 2023Article
- A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Uncovering individual differences in fine-scale dynamics of functional connectivity.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Functional connectome fingerprinting across the lifespan.Network neuroscience (Cambridge, Mass.) · 2023Article
- The confound of head position in within-session connectome fingerprinting in infants.NeuroImage · 2023Article
- Dynamic trajectories of connectome state transitions are heritable.NeuroImage · 2022Article
- Functional connectomes incorporating phase synchronization for the characterization and prediction of individual differences.Journal of neuroscience methods · 2022Article
- Benchmarking common preprocessing strategies in early childhood functional connectivity and intersubject correlation fMRI.Developmental cognitive neuroscience · 2022Article
- Brain connectivity fingerprinting and behavioural prediction rest on distinct functional systems of the human connectome.Communications biology · 2022Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Pioneering studies have shown that individual correlation measures from resting-state functional magnetic resonance imaging studies can identify another scan from that same individual. This method is known as "connectotyping" or functional connectome "fingerprinting." We analyzed a unique dataset of 12-30 years old (N = 140) individuals who had two distinct resting state scans on the same day and again 12-18 months later to assess the sensitivity and specificity of fingerprinting accuracy across different time scales (same day, ~1.5 years apart) and developmental periods (youths, adults). Sensitivity and specificity to identify one's own scan was high (average AUC = 0.94), although it was significantly higher in the same day (average AUC = 0.97) than 1.5-years later (average AUC = 0.91). Accuracy in youths (average AUC = 0.93) was not significantly different from adults (average AUC = 0.96). Multiple statistical methods revealed select connections from the Frontoparietal, Default, and Dorsal Attention networks enhanced the ability to identify an individual. Identification of these features generalized across datasets and improved fingerprinting accuracy in a longitudinal replication data set (N = 208). These results provide a framework for understanding the sensitivity and specificity of fingerprinting accuracy in adolescents and adults at multiple time scales. Importantly, distinct features of one's "fingerprint" contribute to one's uniqueness, suggesting that cognitive and default networks play a primary role in the individualization of one's connectome.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.