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Accounting for temporal variability in functional magnetic resonance imaging improves prediction of intelligence
Neuroimaging‐based prediction methods for intelligence have seen a rapid development. Among different neuroimaging modalities, prediction using functional connectivity (FC) has shown great promise. Most literature has focused on prediction using static FC, with limited investigations on the merits o...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400788/ https://www.ncbi.nlm.nih.gov/pubmed/37466292 http://dx.doi.org/10.1002/hbm.26415 |