ArticleBrain and behavior2020
Mapping brain-behavior networks using functional and structural connectome fingerprinting in the HCP dataset.
Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed.
- Identifying affective state via clustering of temporal variability in limbic activity and mediating role of negative emotion.Molecular psychiatry · 2026Article
- Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach.Human brain mapping · 2025Article
- Brain functional connectivity and anatomical features as predictors of cognitive behavioral therapy outcome for anxiety in youths.Psychological medicine · 2025Article
- Asymmetric canonical correlation analysis of Riemannian and high-dimensional data.Electronic journal of statistics · 2025Article
- Connectome-based fingerprinting: reproducibility, precision, and behavioral prediction.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Frontoparietal network topology as a neural marker of musical perceptual abilities.Nature communications · 2024Article
- Morphological Brain Networks of White Matter: Mapping, Evaluation, Characterization, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Individual differences in the neural architecture in semantic processing.Scientific reports · 2024Article
- Variation in brain connectivity during motor imagery and motor execution in stroke patients based on electroencephalography.Frontiers in neuroscience · 2024Article
- Methodological evaluation of individual cognitive prediction based on the brain white matter structural connectome.Human brain mapping · 2022Article
- Brain connectivity fingerprinting and behavioural prediction rest on distinct functional systems of the human connectome.Communications biology · 2022Article
- Brain Mapping of Behavioral Domains Using Multi-Scale Networks and Canonical Correlation Analysis.Frontiers in neuroscience · 2022Article
- Resting-state occipito-frontal alpha connectome is linked to differential word learning ability in adult learners.Frontiers in neuroscience · 2022Article
- Mapping individual differences across brain network structure to function and behavior with connectome embedding.NeuroImage · 2021Article
- Dynamic functional networks in idiopathic normal pressure hydrocephalus: Alterations and reversibility by CSF tap test.Human brain mapping · 2021Article
- A Unified Framework for Inattention Estimation From Resting State Phase Synchrony Using Machine Learning.Frontiers in genetics · 2021Article
- Mapping brain-behavior networks using functional and structural connectome fingerprinting in the HCP dataset.Brain and behavior · 2020Article
- Estimating the heritability of psychological measures in the Human Connectome Project dataset.PloS one · 2020Article
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4 authors.
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Abstract
introductionConnectome analysis of the human brain's structural and functional architecture provides a unique opportunity to understand the organization of the brain's functional architecture. In previous studies, connectome fingerprinting using brain functional connectivity profiles as an individualized trait was able to predict an individual's neurocognitive performance from the Human Connectome Project (HCP) neurocognitive datasets. MATERIALS AND
methodsIn the present study, we extend connectome fingerprinting from functional connectivity (FC) to structural connectivity (SC), identifying multiple relationships between behavioral traits and brain connectivity. Higher-order neurocognitive tasks were found to have a weaker association with structural connectivity than its functional connectivity counterparts.
resultsNeurocognitive tasks with a higher sensory footprint were, however, found to have a stronger association with structural connectivity than their functional connectivity counterparts. Language behavioral measurements had a particularly stronger correlation, especially between performance on the picture language test (Pic Vocab) and both FC (r = .28, p < .003) and SC (r = 0.27, p < .00077).
conclusionsAt the neural level, we found that the pattern of structural brain connectivity related to high-level language performance is consistent with the language white matter regions identified in presurgical mapping. We illustrate how this approach can be used to generalize the connectome fingerprinting framework to structural connectivity and how this can help understand the connections between cognitive behavior and the white matter connectome of the brain.
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