User profiles for Maria Grazia Puxeddu

Maria Grazia Puxeddu

Indiana University, Bloomington
Verified email at iu.edu
Cited by 198

[HTML][HTML] Modularity maximization as a flexible and generic framework for brain network exploratory analysis

FZ Esfahlani, Y Jo, MG Puxeddu, H Merritt, JC Tanner… - Neuroimage, 2021 - Elsevier
The modular structure of brain networks supports specialized information processing,
complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in modular …

[HTML][HTML] The modular organization of brain cortical connectivity across the human lifespan

MG Puxeddu, J Faskowitz, RF Betzel, M Petti, L Astolfi… - NeuroImage, 2020 - Elsevier
The network architecture of the human brain contributes in shaping neural activity, influencing
cognitive and behavioral processes. The availability of neuroimaging data across the …

[HTML][HTML] Relation of connectome topology to brain volume across 103 mammalian species

MG Puxeddu, J Faskowitz, C Seguin, Y Yovel… - Plos …, 2024 - journals.plos.org
The brain connectome is an embedded network of anatomically interconnected brain
regions, and the study of its topological organization in mammals has become of paramount …

[HTML][HTML] A comprehensive analysis of multilayer community detection algorithms for application to EEG-based brain networks

MG Puxeddu, M Petti, L Astolfi - Frontiers in systems neuroscience, 2021 - frontiersin.org
Modular organization is an emergent property of brain networks, responsible for shaping
communication processes and underpinning brain functioning. Moreover, brain networks are …

[HTML][HTML] Multi-modal and multi-subject modular organization of human brain networks

MG Puxeddu, J Faskowitz, O Sporns, L Astolfi… - NeuroImage, 2022 - Elsevier
The human brain is a complex network of anatomically interconnected brain areas. Spontaneous
neural activity is constrained by this architecture, giving rise to patterns of statistical …

The optimal setting for multilayer modularity optimization in multilayer brain networks

MG Puxeddu, M Petti, D Mattia… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Community detection plays a key role in the study of brain networks, as mechanisms of modular
integration and segregation are known to characterize the brain functioning. Moreover, …

[HTML][HTML] Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny

J Faskowitz, MG Puxeddu… - Frontiers in …, 2023 - frontiersin.org
Network models of anatomical connections allow for the extraction of quantitative features
describing brain organization, and their comparison across brains from different species. Such …

Community detection: Comparison among clustering algorithms and application to EEG-based brain networks

MG Puxeddu, M Petti, F Pichiorri… - 2017 39th Annual …, 2017 - ieeexplore.ieee.org
Community structure is a feature of complex networks that can be crucial for the understanding
of their internal organization. This is particularly true for brain networks, as the brain …

Multi-layer analysis of multi-frequency brain networks as a new tool to study EEG topological organization

MG Puxeddu, M Petti, L Astolfi - 2021 43rd Annual International …, 2021 - ieeexplore.ieee.org
Oscillatory activity rising from the interaction among neurons is widely observed in the brain
at different scales and is thought to encode distinctive properties of the neural processing. …

[HTML][HTML] A numerical study to compare stimulations by intraoperative microelectrodes and chronic macroelectrodes in the DBS technique

…, F Apollonio, MG Puxeddu, M Parazzini… - BioMed Research …, 2013 - hindawi.com
Deep brain stimulation is a clinical technique for the treatment of parkinson’s disease based
on the electric stimulation, through an implanted electrode, of specific basal ganglia in the …