| Full text | |
| Author(s): |
Novi, Sergio L.
;
Carvalho, Alex C.
;
Forti, R. M.
;
Cendes, Fernado
;
Yasuda, Clarissa L.
;
Mesquita, Rickson C.
Total Authors: 6
|
| Document type: | Journal article |
| Source: | NEUROPHOTONICS; v. 10, n. 1, p. 16-pg., 2023-01-01. |
| Abstract | |
Significance: Brain fingerprinting refers to identifying participants based on their functional patterns. Despite its success with functional magnetic resonance imaging (fMRI), brain fingerprinting with functional near-infrared spectroscopy (fNIRS) still lacks adequate validation. Aim: We investigated how fNIRS-specific acquisition features (limited spatial information and nonneural contributions) influence resting-state functional connectivity (rsFC) patterns at the intra-subject level and, therefore, brain fingerprinting. Approach: We performed multiple simultaneous fNIRS and fMRI measurements in 29 healthy participants at rest. Data were preprocessed following the best practices, including the removal of motion artifacts and global physiology. The rsFC maps were extracted with the Pearson correlation coefficient. Brain fingerprinting was tested with pairwise metrics and a simple linear classifier. Results: Our results show that average classification accuracy with fNIRS ranges from 75% to 98%, depending on the number of runs and brain regions used for classification. Under the right conditions, brain fingerprinting with fNIRS is close to the 99.9% accuracy found with fMRI. Overall, the classification accuracy is more impacted by the number of runs and the spatial coverage than the choice of the classification algorithm. Conclusions: This work provides evidence that brain fingerprinting with fNIRS is robust and reliable for extracting unique individual features at the intra-subject level once relevant spatiotemporal constraints are correctly employed. (c) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. (AU) | |
| FAPESP's process: | 12/02500-8 - Instrumentation and methodology development for cerebral oxygenation, blood flow and metabolic monitoring with diffuse optical spectroscopies |
| Grantee: | Rickson Coelho Mesquita |
| Support Opportunities: | Research Grants - Young Investigators Grants |
| FAPESP's process: | 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology |
| Grantee: | Fernando Cendes |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| FAPESP's process: | 16/22990-0 - Assessment of neuroplasticity in the human brain with near-infrared spectroscopy |
| Grantee: | Sergio Luiz Novi Junior |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |
| FAPESP's process: | 19/21962-1 - Investigation of neuroplasticity in the human brain with near-infrared spectroscopy |
| Grantee: | Sergio Luiz Novi Junior |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |
| FAPESP's process: | 14/25486-6 - Construction and evaluation of a frequency-domain diffuse optical spectroscopy device for brain monitoring in the clinic |
| Grantee: | Rodrigo Menezes Forti |
| Support Opportunities: | Scholarships in Brazil - Doctorate |