output
20112025
most citedWeight-conserving characterization of complex functional brain networks

976 citations

11 papers

q-bio.GN2025

Combining multiplexed functional data to improve variant classification

Atlas of Variant Effects Alliance, :, Jeffrey D. Calhoun +10

With the surge in the number of variants of uncertain significance (VUS) reported in ClinVar in recent years, there is an imperative to resolve VUS at scale. Multiplexed assays of…

eess.SP2022★ 15 cited

Ensemble learning using individual neonatal data for seizure detection

Ana Borovac, Steinn Gudmundsson, Gardar Thorvardsson +5

Sharing medical data between institutions is difficult in practice due to data protection laws and official procedures within institutions. Therefore, most existing algorithms are…

q-bio.NC2018★ 44 cited

Estimating the impact of structural directionality: How reliable are undirected connectomes?

Penelope Kale, Andrew Zalesky, Leonardo L. Gollo

Directionality is a fundamental feature of network connections. Most structural brain networks are intrinsically directed because of the nature of chemical synapses, which comprise…

q-bio.NC2017★ 562 cited

Criticality in the brain: A synthesis of neurobiology, models and cognition

Luca Cocchi, Leonardo L. Gollo, Andrew Zalesky +1

Cognitive function requires the coordination of neural activity across many scales, from neurons and circuits to large-scale networks. As such, it is unlikely that an explanatory f…

q-bio.NC2017★ 46 cited

Coexistence of critical sensitivity and subcritical specificity can yield optimal population coding

Leonardo L. Gollo

The vicinity of phase transitions selectively amplifies weak stimuli, yielding optimal sensitivity to distinguish external input. Along with this enhanced sensitivity, enhanced lev…

cs.SI2017★ 26 cited

Validation of a smartphone app to map social networks of proximity

Tjeerd W. Boonstra, Mark E. Larsen, Samuel Townsend +1

Social network analysis is a prominent approach to investigate interpersonal relationships. Most studies use self-report data to quantify the connections between participants and c…