Clinical connectome fingerprints of cognitive decline
Brain connectome fingerprinting is rapidly rising as a novel influential field in brain network analysis. Yet, it is still unclear whether connectivity fingerprints could be effectively used for mapping and predicting disease progression from human brain data. We hypothesize that dysregulation of br...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-09-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811921005309 |
| _version_ | 1819085256554184704 |
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| author | Pierpaolo Sorrentino Rosaria Rucco Anna Lardone Marianna Liparoti Emahnuel Troisi Lopez Carlo Cavaliere Andrea Soricelli Viktor Jirsa Giuseppe Sorrentino Enrico Amico |
| author_facet | Pierpaolo Sorrentino Rosaria Rucco Anna Lardone Marianna Liparoti Emahnuel Troisi Lopez Carlo Cavaliere Andrea Soricelli Viktor Jirsa Giuseppe Sorrentino Enrico Amico |
| author_sort | Pierpaolo Sorrentino |
| collection | DOAJ |
| description | Brain connectome fingerprinting is rapidly rising as a novel influential field in brain network analysis. Yet, it is still unclear whether connectivity fingerprints could be effectively used for mapping and predicting disease progression from human brain data. We hypothesize that dysregulation of brain activity in disease would reflect in worse subject identification. We propose a novel framework, Clinical Connectome Fingerprinting, to detect individual connectome features from clinical populations. We show that “clinical fingerprints” can map individual variations between elderly healthy subjects and patients with mild cognitive impairment in functional connectomes extracted from magnetoencephalography data. We find that identifiability is reduced in patients as compared to controls, and show that these connectivity features are predictive of the individual Mini-Mental State Examination (MMSE) score in patients. We hope that the proposed methodology can help in bridging the gap between connectivity features and biomarkers of brain dysfunction in large-scale brain networks. |
| first_indexed | 2024-12-21T21:01:28Z |
| format | Article |
| id | doaj.art-08b77f53d41a4b8891375e79ff1edf8d |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-21T21:01:28Z |
| publishDate | 2021-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-08b77f53d41a4b8891375e79ff1edf8d2022-12-21T18:50:25ZengElsevierNeuroImage1095-95722021-09-01238118253Clinical connectome fingerprints of cognitive declinePierpaolo Sorrentino0Rosaria Rucco1Anna Lardone2Marianna Liparoti3Emahnuel Troisi Lopez4Carlo Cavaliere5Andrea Soricelli6Viktor Jirsa7Giuseppe Sorrentino8Enrico Amico9Institut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille, FranceInstitute of Applied Sciences and Intelligent Systems, CNR, Pozzuoli, Italy; Department of Motor Sciences and Wellness, University of Naples “Parthenope”, ItalyDepartment of Social and Developmental Psychology, University of Rome “Sapienza, ItalyDepartment of Motor Sciences and Wellness, University of Naples “Parthenope”, ItalyDepartment of Motor Sciences and Wellness, University of Naples “Parthenope”, ItalyIRCCS SDN, Naples, ItalyDepartment of Motor Sciences and Wellness, University of Naples “Parthenope”, Italy; IRCCS SDN, Naples, ItalyInstitut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille, FranceInstitute of Applied Sciences and Intelligent Systems, CNR, Pozzuoli, Italy; Department of Motor Sciences and Wellness, University of Naples “Parthenope”, Italy; Hermitage Capodimonte Clinic, Naples, Italy; Corresponding author at: Department of Motor Sciences and Wellness, University of Naples “Parthenope”, Via Ammiraglio Ferdinando Acton, 38, 80133 Napoli NA, Italy.Institute of Bioengineering, Center for Neuroprosthetics, EPFL, Geneva, Switzerland; Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Geneva, Switzerland; Corresponding author at: Institute of Bioengineering, EPFL, Campus Biotech, Chemin des Mines 9, 1202 Genève.Brain connectome fingerprinting is rapidly rising as a novel influential field in brain network analysis. Yet, it is still unclear whether connectivity fingerprints could be effectively used for mapping and predicting disease progression from human brain data. We hypothesize that dysregulation of brain activity in disease would reflect in worse subject identification. We propose a novel framework, Clinical Connectome Fingerprinting, to detect individual connectome features from clinical populations. We show that “clinical fingerprints” can map individual variations between elderly healthy subjects and patients with mild cognitive impairment in functional connectomes extracted from magnetoencephalography data. We find that identifiability is reduced in patients as compared to controls, and show that these connectivity features are predictive of the individual Mini-Mental State Examination (MMSE) score in patients. We hope that the proposed methodology can help in bridging the gap between connectivity features and biomarkers of brain dysfunction in large-scale brain networks.http://www.sciencedirect.com/science/article/pii/S1053811921005309Clinical brain fingerprintingFunctional connectomesCognitive impairmentMEG connectivityBrain networks |
| spellingShingle | Pierpaolo Sorrentino Rosaria Rucco Anna Lardone Marianna Liparoti Emahnuel Troisi Lopez Carlo Cavaliere Andrea Soricelli Viktor Jirsa Giuseppe Sorrentino Enrico Amico Clinical connectome fingerprints of cognitive decline NeuroImage Clinical brain fingerprinting Functional connectomes Cognitive impairment MEG connectivity Brain networks |
| title | Clinical connectome fingerprints of cognitive decline |
| title_full | Clinical connectome fingerprints of cognitive decline |
| title_fullStr | Clinical connectome fingerprints of cognitive decline |
| title_full_unstemmed | Clinical connectome fingerprints of cognitive decline |
| title_short | Clinical connectome fingerprints of cognitive decline |
| title_sort | clinical connectome fingerprints of cognitive decline |
| topic | Clinical brain fingerprinting Functional connectomes Cognitive impairment MEG connectivity Brain networks |
| url | http://www.sciencedirect.com/science/article/pii/S1053811921005309 |
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