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Measuring and Modeling Nonlinear Interactions Between Brain Regions with fMRI

https://doi.org/10.1101/074856
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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High-resolution intersubject averaging and a coordinate system for the cortical surface
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Cortical Surface-Based Analysis
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A component based noise correction method (CompCor) for BOLD and perfusion based fMRI
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Accurate and robust brain image alignment using boundary-based registration
inferredcites →https://doi.org/10.1016/j.neuroimage.2010.07.073openalex-snapshot
Encoding and decoding in fMRI
inferredcites →https://doi.org/10.1016/j.neuroimage.2012.07.046openalex-snapshot
Voxel-level functional connectivity using spatial regularization
inferredcites →https://doi.org/10.1016/j.neuroimage.2016.04.047openalex-snapshot
Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation
inferredcites →https://doi.org/10.1016/j.neuron.2012.01.010openalex-snapshot
How Does the Brain Solve Visual Object Recognition?
inferredcites →https://doi.org/10.1016/j.neuron.2015.11.035openalex-snapshot
Distinct Cortical Pathways for Music and Speech Revealed by Hypothesis-Free Voxel Decomposition
inferredcites →https://doi.org/10.1016/s0010-9452(08)70358-7openalex-snapshot
What has Functional Neuroimaging told us about the Mind (so far)? (Position Paper Presented to the European Cognitive Neuropsychology Workshop, Bressanone, 2005)
inferredcites →https://doi.org/10.1016/s1361-8415(01)00036-6openalex-snapshot
A global optimisation method for robust affine registration of brain images
inferredcites →https://doi.org/10.1038/14819openalex-snapshot
Hierarchical models of object recognition in cortex
inferredcites →https://doi.org/10.1038/nn.4361openalex-snapshot
The Human Connectome Project's neuroimaging approach
inferredcites →https://doi.org/10.1038/nrn1931openalex-snapshot
Decoding mental states from brain activity in humans
inferredcites →https://doi.org/10.1038/nrn2575openalex-snapshot
Complex brain networks: graph theoretical analysis of structural and functional systems
inferredcites →https://doi.org/10.1073/pnas.1112937108openalex-snapshot
Functional specificity for high-level linguistic processing in the human brain
inferredcites →https://doi.org/10.1073/pnas.1403112111openalex-snapshot
Performance-optimized hierarchical models predict neural responses in higher visual cortex
inferredcites →https://doi.org/10.1089/brain.2014.0337openalex-snapshot
Information Flow Between Resting-State Networks
inferredcites →https://doi.org/10.1126/science.1063736openalex-snapshot
Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex
inferredcites →https://doi.org/10.1152/jn.00032.2010openalex-snapshot
New Method for fMRI Investigations of Language: Defining ROIs Functionally in Individual Subjects
inferredcites →https://doi.org/10.1152/jn.00338.2011openalex-snapshot
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
inferredcites →https://doi.org/10.1371/journal.pcbi.1004390openalex-snapshot
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex
inferredcites →https://doi.org/10.1371/journal.pone.0068910openalex-snapshot
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
inferredcites →https://doi.org/10.3389/fnhum.2013.00015openalex-snapshot
Informational connectivity: identifying synchronized discriminability of multi-voxel patterns across the brain

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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fMRI functional connectivity analysis via kernel graph in Alzheimer’s disease
inferred← citeshttps://doi.org/10.1007/s12021-021-09540-9openalex-snapshot
Controlling for Spurious Nonlinear Dependence in Connectivity Analyses
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2023.119958openalex-snapshot
Time-Lagged Multidimensional Pattern Connectivity (TL-MDPC): An EEG/MEG pattern transformation based functional connectivity metric
inferred← citeshttps://doi.org/10.1016/j.neuropsychologia.2017.02.006openalex-snapshot
Directed network discovery with dynamic network modelling
inferred← citeshttps://doi.org/10.1016/j.tics.2019.10.005openalex-snapshot
Discovering the Computational Relevance of Brain Network Organization
inferred← citeshttps://doi.org/10.1038/s41467-022-28323-7openalex-snapshot
Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior
inferred← citeshttps://doi.org/10.1038/s41467-022-32381-2openalex-snapshot
Precision dynamical mapping using topological data analysis reveals a hub-like transition state at rest
inferred← citeshttps://doi.org/10.1038/s41467-023-39941-0openalex-snapshot
Brain mitochondrial diversity and network organization predict anxiety-like behavior in male mice
inferred← citeshttps://doi.org/10.1038/s41598-024-52423-7openalex-snapshot
Downstream network transformations dissociate neural activity from causal functional contributions
inferred← citeshttps://doi.org/10.1101/2020.12.24.424353openalex-snapshot
Constructing neural network models from brain data reveals representational transformations underlying adaptive behavior
inferred← citeshttps://doi.org/10.1101/2021.06.02.446767openalex-snapshot
Brain mitochondrial diversity and network organization predict anxiety-like behavior in mice
inferred← citeshttps://doi.org/10.1101/2021.09.28.462195openalex-snapshot
Computational Fingerprints: Modeling Interactions Between Brain Regions as Points in a Function Space
inferred← citeshttps://doi.org/10.1101/2023.01.19.524690openalex-snapshot
Identifying nonlinear Functional Connectivity with EEG/MEG using Nonlinear Time-Lagged Multidimensional Pattern Connectivity (nTL-MDPC)
inferred← citeshttps://doi.org/10.1101/2023.06.06.543895openalex-snapshot
When Neural Activity Fails to Reveal Causal Contributions
inferred← citeshttps://doi.org/10.1101/2024.01.20.576221openalex-snapshot
Multivariate Time-Lagged Multidimensional Pattern Connectivity (mvTL-MDPC) for EEG/MEG Functional Connectivity Analysis
inferred← citeshttps://doi.org/10.1162/netn_a_00264openalex-snapshot
Functional coordinates: Modeling interactions between brain regions as points in a function space
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1005799openalex-snapshot
Multivariate pattern dependence
inferred← citeshttps://doi.org/10.1523/jneurosci.1283-22.2023openalex-snapshot
Angular Gyrus Responses Show Joint Statistical Dependence with Brain Regions Selective for Different Categories
inferred← citeshttps://doi.org/10.3389/fninf.2022.835772openalex-snapshot
PyMVPD: A Toolbox for Multivariate Pattern Dependence
inferred← citeshttps://doi.org/10.3389/fnins.2022.755988openalex-snapshot
Caveats and Nuances of Model-Based and Model-Free Representational Connectivity Analysis
inferred← citeshttps://doi.org/10.51628/001c.37507openalex-snapshot
Beyond linear regression: mapping models in cognitive neuroscience should align with research goals
inferred← citeshttps://doi.org/10.64628/aai.79hyd4ra7openalex-snapshot
How brains do what they do is more complex than what anatomy on its own suggests
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