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Connectivity subnetwork learning for pathology and developmental variations
2013
Preserved Fulltext
In this paper, we present a unified framework for learning subnetwork patterns of connectivity by their projective non-negative decomposition into a reconstructive basis set, as well as, additional basis ...
Network representation of brain connectivity has provided a novel means of investigating brain changes arising from pathology, development or aging. ...
This paper presents a framework for learning sparse subnetwork patterns of non-negative connectivity matrices by their projective non-negative decomposition into sets of i) discriminative or pathology-specific ...
pmid:24505653
pmcid:PMC4054863
fatcat:tlo73i7ehrfy5dcqdwodacujdq
Identifying group discriminative and age regressive sub-networks from DTI-based connectivity via a unified framework of non-negative matrix factorization and graph embedding
2014
Medical Image Analysis
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We propose a unified framework of non-negative matrix factorization and graph embedding for learning sub-network patterns of connectivity by their projective non-negative decomposition into a reconstructive ...
The proposed framework is applied to a study of diffusion-based connectivity in subjects with autism that shows localized sparse sub-networks which mostly capture the changes related to pathology and developmental ...
SAP # 4100042728 and SAP # 4100047863 (PI: Robert T. ...
doi:10.1016/j.media.2014.06.006
pmid:25037933
pmcid:PMC4205764
fatcat:vghm2bpjcndb5bobwjy623rxqy
Multivariate dynamical modelling of structural change during development
2017
NeuroImage
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, due to competition for space, or structural connectivity, and suchlike. ...
connectivity. ...
-3343, N01-MH9-0002, and N01-NS-9-2314, -2315, -2316, -2317, -2319 and -2320). ...
doi:10.1016/j.neuroimage.2016.12.017
pmid:27979788
pmcid:PMC5315058
fatcat:wxnpz2ung5dqddlcg7plrtxq5e
Disinhibition and Detachment in Adolescence: A Developmental Cognitive Neuroscience Perspective on the Alternative Model for Personality Disorders
2020
Psychopathology
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personality pathology in adolescence and early adulthood. ...
In contrast, dimensional models of personality pathology, such as the Alternative Model for Personality Disorders (AMPD) in DSM-5, may provide a stronger foundation for neurobiological investigations of ...
Statement of Ethics This article was prepared in compliance with internationally accepted standards for research practice and reporting. ...
doi:10.1159/000509984
pmid:32777787
pmcid:PMC7530016
fatcat:7t5zboqbujcd7dkrxtoh65oryy
Rich-club neurocircuitry: function, evolution, and vulnerability
2018
Dialogues in Clinical Neuroscience
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An interesting property of neural networks is that elements rich in connections are central to the network organization and tend to interconnect strongly with each other, forming so-called rich clubs. ...
its relevance to human cognition and behavior, and vulnerability to brain disorders. ...
This evidence has possible implications for the understanding of pathological mechanisms linking structural connectivity alterations, brain dynamics, and symptomatological/cognitive consequences. 5, 37 ...
pmid:30250389
pmcid:PMC6136122
fatcat:mvlpxiyhsjgd5a7p6xz6kyg6fa
A joint network optimization framework to predict clinical severity from resting state functional MRI data
2019
NeuroImage
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Our method outperforms standard semi-supervised frameworks, which employ conventional graph theoretic and statistical representation learning techniques to relate the rs-fMRI correlations to behavior. ...
These subnetworks are modeled as rank-one outer-products which correspond to the elemental patterns of co-activation across the brain; the subnetworks are combined via patient-specific non-negative coefficients ...
For the ANN, we use the weight matrix learned at the input layer to inform us of the subnetwork connectivity. ...
doi:10.1016/j.neuroimage.2019.116314
pmid:31678501
pmcid:PMC7985860
fatcat:b5zeugz6znahpngwuzzsvlcedq
Schizophrenia at a Genetics Crossroads: Where to Now?
2013
Schizophrenia Bulletin
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Identified modules or local subnetworks can by directly tested to identify enrichment of common risk variation and rare functional mutations. ...
Because we are learning from cancer research and other fields in medicine, clinical or even pathological diagnostics may bear little relation to the underlying molecular mechanisms of disease. ...
doi:10.1093/schbul/sbt041
pmid:23519022
pmcid:PMC3627765
fatcat:rp6juzsdnvdwpl4yvexzh56kwq
Machine Learning on Human Connectome Data from MRI
[article]
2016
arXiv
pre-print
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Connectome data has unique properties, which present both special challenges and opportunities when used for machine learning. ...
Recently, researchers have been exploring the application of machine learning models to connectome data in order to predict clinical outcomes and analyze the importance of subnetworks in the brain. ...
Also, the connectivity of the brain is altered by learning and expierences [50] , as well as injury and pathology, so the exact structure of each person's brain is inherently unique, at least on fine ...
arXiv:1611.08699v1
fatcat:opmtmr3eejbjjm4swfmg54g4q4
A Joint Network Optimization Framework to Predict Clinical Severity from Resting State Functional MRI Data
[article]
2020
arXiv
pre-print
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Our method outperforms standard semi-supervised frameworks, which employ conventional graph theoretic and statistical representation learning techniques to relate the rs-fMRI correlations to behavior. ...
These subnetworks are modeled as rank-one outer-products which correspond to the elemental patterns of co-activation across the brain; the subnetworks are combined via patient-specific non-negative coefficients ...
MH106564), the National Institute of Neurological Disorders and Stroke (R01NS048527-08), and the Autism Speaks foundation. ...
arXiv:2009.03238v1
fatcat:qd7gwymghja6hcrknwehwaqmvu
Solving the paradox of the equipotential and modular brain: A neurocomputational model of stroke vs. slow-growing glioma
2010
Neuropsychologia
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of connectivity; experiencedependent plasticity; and the time course of damage. ...
A clear paradox arises in low-grade glioma where an even greater amount of cortex may be affected and resected without impairment. ...
On each trial one of the 100 input patterns for subnetwork 1 was presented to input layer 1 and at the same time one of the input patterns for subnetwork 2 was applied to input layer 2. ...
doi:10.1016/j.neuropsychologia.2010.02.019
pmid:20188115
fatcat:ymiu67kvsrdi5g7pn2mjilpk44
Intersectional analysis of chronic mild stress-induced lncRNA-mRNA interaction networks in rat hippocampus reveals potential anti-depression/anxiety drug targets
2021
Neurobiology of Stress
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Further intersectional analysis of phenotype-associated and drug-associated lncRNA-mRNA networks and subnetworks assisted in identifying 16 hub lncRNAs as potential targets of anti-depression/anxiety drugs ...
, revealing several important lncRNAs that represent potentially new therapeutic drug targets for depression and anxiety disorders. ...
BP analysis revealed significant enrichment for developmental process, and positive regulation of biological and cellular processes. ...
doi:10.1016/j.ynstr.2021.100347
pmid:34113696
pmcid:PMC8170419
fatcat:4hkfi6g25zas7nfnhhthu74zmy
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations
[article]
2020
arXiv
pre-print
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We use the DTI tractography to regularize this matrix factorization and learn anatomically informed functional connectivity profiles. ...
Our hybrid model outperforms several state-of-the-art approaches at clinical outcome prediction and learns interpretable multimodal neural signatures of brain organization. ...
and R01 MH106564), the National Institute of Neurological Disorders and Stroke (R01NS048527-08), and the Autism Speaks foundation. ...
arXiv:2008.12410v1
fatcat:54f6z2o2krevtkiq53eboldnce
The Human Connectome: A Structural Description of the Human Brain
2005
PLoS Computational Biology
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T he connection matrix of the human brain (the human "connectome") represents an indispensable foundation for basic and applied neurobiological research. ...
While some databases or collations of largescale anatomical connection patterns exist for other mammalian species, there is currently no connection matrix of the human brain, nor is there a coordinated ...
Some individual variations may be due to genetic differences, others may be the result of developmental and experiential history, gender differences, pathologies, or responses to injury. ...
doi:10.1371/journal.pcbi.0010042
pmid:16201007
pmcid:PMC1239902
fatcat:zt54gj2bs5aghik4lyxlnzixry
Integrated Analysis of Brain Transcriptome Reveals Convergent Molecular Pathways in Autism Spectrum Disorder
2019
Frontiers in Psychiatry
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We further determined transcriptional and post-transcriptional regulation subnetwork for each ASD-correlated module, including 47 pivot transcription factors, 130 pivot miRNAs, and 7 pivot lncRNAs. ...
Co-expression network analysis revealed that a total of seven (four for CC set, three for PFC set) core dysfunctional modules strongly enriched for known ASD-risk genes. ...
ACKNOWLEDGMENTS This study was supported by Province Key Laboratory of Children development and genetic research in Harbin Medical University, Heilongjiang, China. ...
doi:10.3389/fpsyt.2019.00706
pmid:31649562
pmcid:PMC6795181
fatcat:6nrawfsqvrgdhl2j3vb7i4uqdq
The Zebrafish Equivalent of Alzheimer's Disease-Associated PRESENILIN Isoform PS2V Regulates Inflammatory and Other Responses to Hypoxic Stress
2016
Journal of Alzheimer's Disease
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In contrast, genetic variation at the PSEN1 and PSEN2 loci does not appear to contribute to risk for the sporadic, late onset form of the disease (sAD), leading to doubts that these genes play a role in ...
Our results imply an important role for PS2V in sAD as a component of a pathological mechanism that includes hypoxia / oxidative stress and support investigation of PS2V's role in other diseases, including ...
AD [5] ) no genetic variation at the PSEN1 or PSEN2 loci has yet been discovered to contribute to the risk for developing sAD [6] . ...
doi:10.3233/jad-150678
pmid:27031468
fatcat:laekgwv5njesfmnuxjcda7mrga
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