Weighted Symbolic Dependence Metric (wSDM) for fMRI resting-state connectivity: A multicentric validation for frontotemporal dementia
- Moguilner, Sebastian Gabriel
- García, Adolfo Martín
- Mikulan, Ezequiel Pablo
- Hesse Rizzi, Eugenia Fátima
- García Cordero, Indira Ruth
- Melloni, Margherita
- Cervetto, Sabrina
- Serrano, Cecilia Mariela
- Herrera Murcia, Eduar
- Reyes, Pablo
- Matallana, Diana
- Manes, Facundo Francisco
- Ibañez, Agustin Mariano
- Sedeño, Lucas
DOIAbstract
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...
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