938 citations · 1.2k across the 17 of their papers we have counts for
21 papers
Tangent functional connectomes uncover more unique phenotypic traits
Kausar Abbas, Mintao Liu, Michael Wang +9
Functional connectomes (FCs) contain pairwise estimations of functional couplings based on pairs of brain regions activity. FCs are commonly represented as correlation matrices tha…
Unveiling the higher-order organization of multivariate time series
Andrea Santoro, Federico Battiston, Giovanni Petri +1
Time series analysis has proven to be a powerful method to characterize several phenomena in biology, neuroscience and economics, and to understand some of their underlying dynamic…
Investigating cognitive ability using action-based models of structural brain networks
Viplove Arora, Enrico Amico, Joaquín Goñi +1
Recent developments in network neuroscience have highlighted the importance of developing techniques for analyzing and modeling brain networks. A particularly powerful approach for…
The physics of higher-order interactions in complex systems
Federico Battiston, Enrico Amico, Alain Barrat +11
Complex networks have become the main paradigm for modelling the dynamics of interacting systems. However, networks are intrinsically limited to describing pairwise interactions, w…
Improving Functional Connectome Fingerprinting with Degree-Normalization
Benjamin Chiêm, Kausar Abbas, Enrico Amico +3
Functional connectivity quantifies the statistical dependencies between the activity of brain regions, measured using neuroimaging data such as functional MRI BOLD time series. The…
Functional Connectome Fingerprint Gradients in Young Adults
Uttara Tipnis, Kausar Abbas, Elizabeth Tran +4
The assessment of brain fingerprints has emerged in the recent years as an important tool to study individual differences and to infer quality of neuroimaging datasets. Studies so…
Geodesic distance on optimally regularized functional connectomes uncovers individual fingerprints
Kausar Abbas, Mintao Liu, Manasij Venkatesh +6
Background: Functional connectomes (FCs), have been shown to provide a reproducible individual fingerprint, which has opened the possibility of personalized medicine for neuro/psyc…
GEFF: Graph Embedding for Functional Fingerprinting
Kausar Abbas, Enrico Amico, Diana Otero Svaldi +7
It has been well established that Functional Connectomes (FCs), as estimated from functional MRI (fMRI) data, have an individual fingerprint that can be used to identify an individ…
Uncovering differential identifiability in network properties of human brain functional connectomes
Meenusree Rajapandian, Enrico Amico, Kausar Abbas +2
The Identifiability Framework (If) has been shown to improve differential identifiability (reliability across-sessions and -sites, and differentiability across-subjects) of functio…
Towards an information theoretical description of communication in brain networks
Enrico Amico, Kausar Abbas, Duy Anh Duong-Tran +6
Modeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different c…
Optimizing Differential Identifiability Improves Connectome Predictive Modeling of Cognitive Deficits in Alzheimer's Disease
Diana O. Svaldi, Joaquín Goñi, Kausar Abbas +8
Functional connectivity, as estimated using resting state fMRI, has shown potential in bridging the gap between pathophysiology and cognition. However, clinical use of functional c…
A morphospace of functional configuration to assess configural breadth based on brain functional networks
Duy Duong-Tran, Kausar Abbas, Enrico Amico +5
The best approach to quantify human brain functional reconfigurations in response to varying cognitive demands remains an unresolved topic in network neuroscience. We propose that…
Towards Subject and Diagnostic Identifiability in the Alzheimer's Disease Spectrum based on Functional Connectomes
Diana O. Svaldi, Joaquín Goñi, Apoorva Bharthur Sanjay +6
Alzheimer's disease (AD) is the only major cause of mortality in the world without an effective disease modifying treatment. Evidence supporting the so called disconnection hypothe…
Uncovering Multi-Site Identifiability Based on Resting-State Functional Connectomes
Sumra Bari, Enrico Amico, Nicole Vike +2
Multi-site studies are becoming important to increase statistical power, enhance generalizability, and to improve the likelihood of pooling relevant subgroups together activities.…
Modeling communication processes in the human connectome through cooperative learning
Uttara Tipnis, Enrico Amico, Mario Ventresca +1
Communication processes within the human brain at different cognitive states are neither well understood nor completely characterized. We assess communication processes in the huma…
Centralized and distributed cognitive task processing in the human connectome
Enrico Amico, Alex Arenas, Joaquin Goni
A key question in modern neuroscience is how cognitive changes in a human brain can be quantified and captured by functional connectomes (FC) . A systematic approach to measure pai…
Mapping hybrid functional-structural connectivity traits in the human connectome
Enrico Amico, Joaquín Goñi
One of the crucial questions in neuroscience is how a rich functional repertoire of brain states relates to its underlying structural organization. How to study the associations be…
The quest for identifiability in human functional connectomes
Enrico Amico, Joaquín Goñi
The evaluation of the individual 'fingerprint' of a human functional connectome (FC) is becoming a promising avenue for neuroscientific research, due to its enormous potential inhe…
Mapping the functional connectome traits of levels of consciousness
Enrico Amico, Daniele Marinazzo, Carol DiPerri +6
Examining task-free functional connectivity (FC) in the human brain offers insights on how spontaneous integration and segregation of information relate to human cognition, and how…
Large-scale signatures of unconsciousness are consistent with a departure from critical dynamics
Enzo Tagliazucchi, Dante R. Chialvo, Michael Siniatchkin +5
Loss of cortical integration and changes in the dynamics of electrophysiological brain signals characterize the transition from wakefulness towards unconsciousness. The common mech…
Conserved Ising Model on the Human Connectome
Sebastiano Stramaglia, Mario Pellicoro, Leonardo Angelini +5
Dynamical models implemented on the large scale architecture of the human brain may shed light on how function arises from the underlying structure. This is the case notably for si…