Year: 2018
Type: article
Abstract: The evaluation of the individual "fingerprint" of a human functional connectome (FC) is becoming a promising avenue for neuroscientific research, due to its enormous potential inherent to drawing single subject inferences from functional connectivity profiles. Here we show that the individual fingerprint of a human functional connectome can be maximized from a reconstruction procedure based on group-wise decomposition in a finite number of brain connectivity modes. We use data from the Human Connectome Project to demonstrate that the optimal reconstruction of the individual FCs through connectivity eigenmodes maximizes subject identifiability across resting-state and all seven tasks evaluated. The identifiability of the optimally reconstructed individual connectivity profiles increases both at the global and edgewise level, also when the reconstruction is imposed on additional functional data of the subjects. Furthermore, reconstructed FC data provide more robust associations with task-behavioral measurements. Finally, we extend this approach to also map the most task-sensitive functional connections. Results show that is possible to maximize individual fingerprinting in the functional connectivity domain regardless of the task, a crucial next step in the area of brain connectivity towards individualized connectomics.
Source: Scientific Reports
Authors: Enrico Amico, Joaquín Goñi
Institution: Purdue University West Lafayette
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,690
Funders: Indiana Clinical and Translational Sciences Institute, National Institutes of Health, McDonnell Center for Systems Neuroscience, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering, NIH Blueprint for Neuroscience Research, National Center for Advancing Translational Sciences
Awards: G1218922180, Statistical models for multi-modal brain imaging studies of HIV-associated cognitive decline, Indiana Clinical and Translational Sciences Institute, Mapping the Human Connectome: Structure, Function, and Heritability, G3848525072, Integrative Bioinformatics Approaches to Human Brain Genomics and Connectomics, G6332924603, G6389824285, Indiana Clinical and Translational Sciences Institute, G7957290912, G8299918676, G9000089182
OpenAlex ID: W2784924902