Analysis scripts used to analyze the local and global functional connectivity of the medial temporal lobe including the amygdala ('A-MTL') described in Ruiz-Rizzo et al. (2020), NeuroImage.
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Updated
Feb 6, 2022 - Shell
Analysis scripts used to analyze the local and global functional connectivity of the medial temporal lobe including the amygdala ('A-MTL') described in Ruiz-Rizzo et al. (2020), NeuroImage.
HORME: Handler for the Observable Rotating Motion of the Encephalos
Opportunities and challenges in partitioning the graph measure space of real-world networks
Embedding of Functional Human Brain Networks on a Sphere
A scalable Mapper algorithm for neuroimaging data analysis
Functional connectivity and brain networks in deaf and hearing
Autism classifier using fMRI networks and Structural Balance Theory features
Publicly available code for "Distributed network processes account for the majority of variance in localized visual category selectivity", Cocuzza et al., 2022.
Between-network functional connectivity across frequency bins described in Küchenhoff et al. (2021), European Journal of Neuroscience.
fMRI data analysis of long-covid patients
Ruiqi's personal website
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
Predicting multigraph brain population from a single graph
Code and data of the paper Clusella et al. "Complex spatiotemporal oscillations emerge from transverse instabilities in large-scale brain networks" (2023) https://doi.org/10.1371/journal.pcbi.1010781
Neurobiologically inspired neural network models simulating, evolving, and solving tasks. Created to help understand the dynamic nature of neural networks and how our brain networks are able to adapt to changing stimuli
Topological data analysis of brain networks through order statistics
Resting-state Functional Correlation (RSFC) node set (Chan et al. 2014 PNAS)
Generate random surrogate weighted networks that preserve the effect of distance on the weights.
L2S-KDNet for super-resolving brain graphs using teacher-student network
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