ArticleScientific reports2018
Weighted Symbolic Dependence Metric (wSDM) for fMRI resting-state connectivity: A multicentric validation for frontotemporal dementia.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Systematic Review: Genetic, Neuroimaging, and Fluids Biomarkers for Frontotemporal Dementia Across Latin America Countries.Frontiers in neurology · 2021Pooled it
- Synergistic and redundant information dynamics are modulated by Alzheimer's disease and cognitive impairment.bioRxiv : the preprint server for biology · 2026Article
- Disruption of macroscale functional network organisation in patients with frontotemporal dementia.Molecular psychiatry · 2025Article
- Structural inequality linked to brain volume and network dynamics in aging and dementia across the Americas.Nature aging · 2025Article
- Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Neurocognitive correlates of semantic memory navigation in Parkinson's disease.NPJ Parkinson's disease · 2024Article
- The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds.Scientific data · 2023Article
- Social and non-social working memory in neurodegeneration.Neurobiology of disease · 2023Article
- Source space connectomics of neurodegeneration: One-metric approach does not fit all.Neurobiology of disease · 2023Article
- Multidimensional inhibitory signatures of sentential negation in behavioral variant frontotemporal dementia.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Functional connectivity in behavioral variant frontotemporal dementia.Brain and behavior · 2022Review
- Multi-feature computational framework for combined signatures of dementia in underrepresented settings.Journal of neural engineering · 2022Article
- Multimodal Neurocognitive Markers of Naturalistic Discourse Typify Diverse Neurodegenerative Diseases.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Dementia ConnEEGtome: Towards multicentric harmonization of EEG connectivity in neurodegeneration.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2022Review
- Structural and functional motor-network disruptions predict selective action-concept deficits: Evidence from frontal lobe epilepsy.Cortex; a journal devoted to the study of the nervous system and behavior · 2021Article
- Multimodal neurocognitive markers of frontal lobe epilepsy: Insights from ecological text processing.NeuroImage · 2021Article
- Interoception Primes Emotional Processing: Multimodal Evidence from Neurodegeneration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Metacognition of emotion recognition across neurodegenerative diseases.Cortex; a journal devoted to the study of the nervous system and behavior · 2021Article
- Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes: A multicenter study.NeuroImage · 2021Article
- The Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat): Driving Multicentric Research and Implementation Science.Frontiers in neurology · 2021Review
Corrections and comments
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Authors and funding
14 authors at 6 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The search for biomarkers of neurodegenerative diseases via fMRI functional connectivity (FC) research has yielded inconsistent results. Yet, most FC studies are blind to non-linear brain dynamics. To circumvent this limitation, we developed a "weighted Symbolic Dependence Metric" (wSDM) measure. Using symbolic transforms, we factor in local and global temporal features of the BOLD signal to weigh a robust copula-based dependence measure by symbolic similarity, capturing both linear and non-linear associations. We compared this measure with a linear connectivity metric (Pearson's R) in its capacity to identify patients with behavioral variant frontotemporal dementia (bvFTD) and controls based on resting-state data. We recruited participants from two international centers with different MRI recordings to assess the consistency of our measure across heterogeneous conditions. First, a seed-analysis comparison of the salience network (a specific target of bvFTD) and the default-mode network (as a complementary control) between patients and controls showed that wSDM yields better identification of resting-state networks. Moreover, machine learning analysis revealed that wSDM yielded higher classification accuracy. These results were consistent across centers, highlighting their robustness despite heterogeneous conditions. Our findings underscore the potential of wSDM to assess fMRI-derived FC data, and to identify sensitive biomarkers in bvFTD.
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