ArticleHuman brain mapping2023
Fading of brain network fingerprint in Parkinson's disease predicts motor clinical impairment.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 33 citations in OpenAlex.
- Appropriate Null Models for Testing the Effect of the Head Model on MEG Functional Connectivity Fingerprinting.Brain topography · 2026Article
- Human brain fingerprint-like nodes within RSFC: an exploratory study and their role in RSFC-behavior associations.Brain imaging and behavior · 2026Article
- Unsupervised Representation Learning Generates Differentiable Neurophysiological Profiles.bioRxiv : the preprint server for biology · 2026Article
- Brain connectivity fingerprinting as a predictive biomarker of art therapy outcomes in Parkinson's disease.Research square · 2026Article
- Patient-specific functional networks track early cognitive alterations and minor hallucinations in Parkinson's disease.Nature. Mental health · 2026Article
- Capturing individual variation in children's electroencephalograms during nREM sleep.PLoS computational biology · 2026Article
- Genetic foundations of interindividual neurophysiological variability.Science advances · 2025Article
- Genetic Foundations of Inter-individual Neurophysiological Variability.bioRxiv : the preprint server for biology · 2025Article
- Uncovering longitudinal changes in the brain functional connectome along the migraine cycle: a multilevel clinical connectome fingerprinting framework.The journal of headache and pain · 2025Article
- Analyzing Information Exchange in Parkinson's Disease via Eigenvector Centrality: A Source-Level Magnetoencephalography Study.Journal of clinical medicine · 2025Article
- TR(Acking) Individuals Down: Exploring the Effect of Temporal Resolution in Resting-State Functional MRI Fingerprinting.Human brain mapping · 2025Article
- Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy: A neural fingerprint identification.iScience · 2025Article
- Demonstrating equivalence across magnetoencephalography scanner platforms using neural fingerprinting.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Fingerprints of brain disease: connectome identifiability in Alzheimer's disease.Communications biology · 2024Article
- Kinematic network of joint motion provides insight on gait coordination: An observational study on Parkinson's disease.Heliyon · 2024Article
- The neurophysiological brain-fingerprint of Parkinson's disease.EBioMedicine · 2024Article
- Brain flexibility increases during the peri-ovulatory phase as compared to early follicular phase of the menstrual cycle.Scientific reports · 2024Article
- Brain fingerprint and subjective mood state across the menstrual cycle.Frontiers in neuroscience · 2024Article
- The neurophysiological brain-fingerprint of Parkinson's disease.medRxiv : the preprint server for health sciences · 2023Article
- Multiplexity of human brain oscillations as a personal brain signature.Human brain mapping · 2023Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The clinical connectome fingerprint (CCF) was recently introduced as a way to assess brain dynamics. It is an approach able to recognize individuals, based on the brain network. It showed its applicability providing network features used to predict the cognitive decline in preclinical Alzheimer's disease. In this article, we explore the performance of CCF in 47 Parkinson's disease (PD) patients and 47 healthy controls, under the hypothesis that patients would show reduced identifiability as compared to controls, and that such reduction could be used to predict motor impairment. We used source-reconstructed magnetoencephalography signals to build two functional connectomes for 47 patients with PD and 47 healthy controls. Then, exploiting the two connectomes per individual, we investigated the identifiability characteristics of each subject in each group. We observed reduced identifiability in patients compared to healthy individuals in the beta band. Furthermore, we found that the reduction in identifiability was proportional to the motor impairment, assessed through the Unified Parkinson's Disease Rating Scale, and, interestingly, able to predict it (at the subject level), through a cross-validated regression model. Along with previous evidence, this article shows that CCF captures disrupted dynamics in neurodegenerative diseases and is particularly effective in predicting motor clinical impairment in PD.
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Registered trials
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.