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From Matrices to Knowledge: Using Semantic Networks to Annotate the Connectome

Sebastian J. Kopetzky, Markus Butz-Ostendorf
2018 Frontiers in Neuroanatomy  
The connectome is regarded as the key to brain function in health and disease. Structural and functional neuroimaging enables us to measure brain connectivity in the living human brain.  ...  We used a query mechanism for semantic networks to extract functional, structural and transcriptome networks.  ...  The connectome is regarded as the key to brain function in health and disease. Structural and functional neuroimaging enables us to measure brain connectivity in the living human brain.  ... 
doi:10.3389/fnana.2018.00111 pmid:30581382 pmcid:PMC6292998 fatcat:dzoshuf2ibanjkc7gxeq56wtui

How to Build a Functional Connectomic Biomarker for Mild Cognitive Impairment From Source Reconstructed MEG Resting-State Activity: The Combination of ROI Representation and Connectivity Estimator Matters

Stavros I. Dimitriadis, María E. López, Ricardo Bruña, Pablo Cuesta, Alberto Marcos, Fernando Maestú, Ernesto Pereda
2018 Frontiers in Neuroscience  
Selected functional connections that build the multivariate connectomic biomarker in the edge-weighted scenario are located in default-mode, fronto-parietal, and cingulo-opercular network.  ...  Our analysis supports the notion of analyzing FCG simultaneously in intra and cross-frequency whole brain interactions with various connectivity estimators in beamformed recordings.  ...  Both techniques are important to be added in the alternative network analysis tools for estimating the multiplexity of human brain dynamics.  ... 
doi:10.3389/fnins.2018.00306 pmid:29910704 pmcid:PMC5992286 fatcat:zvktrsy7sra4pbpgz6ats5lnjy

A Riemannian approach to predicting brain function from the structural connectome [article]

Oualid Benkarim, Casey Paquola, Bo-yong Park, Jessica Royer, Raúl Rodríguez-Cruces, Reinder Vos de Wael, Bratislav Misic, Gemma Piella, Boris Bernhardt
2021 bioRxiv   pre-print
Here, we propose a novel approach based on diffusion maps and Riemannian optimization to emulate this dynamic mechanism in the form of random walks on the structural connectome and predict functional interactions  ...  Emerging literature has suggested that functional interactions between brain regions emerge from the structural connections through mono- as well as polysynaptic mechanisms.  ...  Reinder Vos de Wael was funded by a studentship from the Savoy Foundation. We would also like to acknowledge support from the Helmholtz Foundation and the Healthy Brains for Healthy Lives initiative.  ... 
doi:10.1101/2021.10.27.465906 fatcat:zukd7ffz3fgntpnq3ifvfhzycq

From Caenorhabditis elegans to the human connectome: a specific modular organization increases metabolic, functional and developmental efficiency

J. S. Kim, M. Kaiser
2014 Philosophical Transactions of the Royal Society of London. Biological Sciences  
The connectome, or the entire connectivity of a neural system represented by network, ranges various scales from synaptic connections between individual neurons to fibre tract connections between brain  ...  To answer this question, we study two networks, the neuronal network of C. elegans and the fibre tract network of human brains yielded through diffusion spectrum imaging (DSI).  ...  The authors are grateful to Olaf Sporns for sharing the human connectome data. Funding statement.  ... 
doi:10.1098/rstb.2013.0529 pmid:25180307 pmcid:PMC4150304 fatcat:ww5sxdsbufbyxc4gw6dgv5l2ra

Structural neuroimaging in preclinical dementia: From microstructural deficits and grey matter atrophy to macroscale connectomic changes

Elijah Mak, Silvy Gabel, Habib Mirette, Li Su, Guy B Williams, Adam Waldman, Katie Wells, Karen Ritchie, Craig Ritchie, John O'Brien
2017 Ageing Research Reviews  
Structural neuroimaging modalities have been used to identify brain changes related to risk factors for AD, such as familial genetic mutations, risk genes (for example apolipoprotein epsilon-4 allele),  ...  word count: 216 Manuscript word count: 7504 Highlights  We reviewed the literature of structural imaging changes in preclinical dementia.  There was a high overlap of brain regions implicated in both  ...  METHODS Literature searches were performed to review structural brain changes in preclinical dementia. Two reviewers (EM and SG) searched PubMed for articles published from Jan 1990 till present.  ... 
doi:10.1016/j.arr.2016.10.001 pmid:27777039 fatcat:am6tolnzsfagdf5y4ofkb4ai3q

From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks

Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato, Timothy Ravasi
2013 Scientific Reports  
Here we investigate the extent to which the connectivity evolution of a network might be predicted by mere topological features.  ...  We show how a link/community-based strategy triggers substantial prediction improvements because it accounts for the singular topology of several real networks organised in multiple local communities -  ...  Vladimir Bajic, Dr Taewoo Ryu, and Loqmane Seridi for inspiring the sparsification experiments in protein networks; Prof.  ... 
doi:10.1038/srep01613 pmid:23563395 pmcid:PMC3619147 fatcat:inuu2k4unrdvfaw4wfqejv4gki

Cognition and Neuroimaging in Schizophrenia

Vince D. Calhoun, Kenneth Hugdahl
2012 Frontiers in Human Neuroscience  
interest while also allowing unanticipated genetic links to brain function to emerge from the data.  ...  In the first of three articles, Hoffman and Hampson review recent work on functional connectivity in AVH and suggest that the core mechanism for AVH involves a more complex functional loop rather than  ...  interest while also allowing unanticipated genetic links to brain function to emerge from the data.  ... 
doi:10.3389/fnhum.2012.00276 pmid:23060779 pmcid:PMC3465855 fatcat:mf7pfvoiyfbn3i5l74sr3t2cea

Mechanisms of Connectome Development

Marcus Kaiser
2017 Trends in Cognitive Sciences  
We are starting to observe how changes in cognition and behavior are linked to changes in the network organization of the brain in health and disease.  ...  allow us to study change in anatomical brain networks.  ...  Our views of connectomes are only snapshots at different stages of development and, except for the Developing Connectome project in humans i [4] , usually only involve the adult stage.  ... 
doi:10.1016/j.tics.2017.05.010 pmid:28610804 fatcat:i3wqgicvsvf6zhz5ly3ihanuc4

Investigating cognitive ability using action-based models of structural brain networks [article]

Viplove Arora, Enrico Amico, Joaquín Goñi, Mario Ventresca
2022 arXiv   pre-print
Recent developments in network neuroscience have highlighted the importance of developing techniques for analyzing and modeling brain networks.  ...  Previous research has shown that such models can validate the effectiveness of spatial embedding and other (non-spatial) wiring rules in shaping the network topology of the human connectome.  ...  The network map of the human connectome can be used to describe the organization of the brain's structural connections and their role in shaping functional dynamics [5, 6] .  ... 
arXiv:2202.05389v1 fatcat:lvaa4b3dgnad5mlnqb7b257sri

Connectal Coding: Discovering the Structures Linking Cognitive Phenotypes to Individual Histories [article]

Joshua T Vogelstein, Eric W Bridgeford, Benjamin D Pedigo, Jaewon Chung, Keith Levin, Brett Mensh, Carey E Priebe
2019 bioRxiv   pre-print
Connectal coding, by way of analogy with neural coding, is the art, study, and practice of identifying the network structures that link cognitive phenomena to individual histories.  ...  These histories are written into our brain structure through the building and modification of various brain circuits.  ...  The authors are grateful for helpful feedback from Konrad Koerding. The authors declare no conflicts of interest.  ... 
doi:10.1101/610501 fatcat:tb54t5jmujgrvcbz4r443rlq4m

Disrupted structural and functional brain connectomes in mild cognitive impairment and Alzheimer's disease

Zhengjia Dai, Yong He
2014 Neuroscience Bulletin  
organization in large-scale brain networks (i.e., connectomics) and that this disruption is signifi cantly correlated with the decline of cognitive functions.  ...  In this review, we summarize the recent progress of brain connectomics in AD and MCI, focusing on the changes in the topological organization of large-scale structural and functional brain networks using  ...  Functional Connectomics in AD and MCI The network of functional connectomics in the human brain in vivo can be constructed from EEG/MEG and fMRI data.  ... 
doi:10.1007/s12264-013-1421-0 pmid:24733652 pmcid:PMC5562665 fatcat:kvzynxconrgf7f3qzwvhzc2ws4

Brain Networks and Cognitive Architectures

Steven E. Petersen, Olaf Sporns
2015 Neuron  
This paper views large-scale networks at the level of areas and systems, mostly on the basis of data from human neuroimaging, and how this view of network structure and function has begun to illuminate  ...  Beyond just providing illustrative metaphors, network science offers a theoretical framework for approaching brain structure and function as a multi-scale system composed of networks of neurons, circuits  ...  Structural Networks in the Human Brain In recent years, much work on the structural basis of human cognitive networks has relied on reconstructions of anatomical networks derived from diffusion imaging  ... 
doi:10.1016/j.neuron.2015.09.027 pmid:26447582 pmcid:PMC4598639 fatcat:uubjorii3fgrborqw3a2gyv6sa

Brain enhancement through cognitive training: a new insight from brain connectome

Fumihiko Taya, Yu Sun, Fabio Babiloni, Nitish Thakor, Anastasios Bezerianos
2015 Frontiers in Systems Neuroscience  
For the purpose, we will introduce studies on the cognitive training interventions, EEG biomarkers for cognitive workload, and human brain connectome.  ...  Owing to the recent advances in neurotechnology and the progress in understanding of brain cognitive functions, improvements of cognitive performance or acceleration of learning process with brain enhancement  ...  Acknowledgments The authors appreciate the National University of Singapore for supporting the Cognitive Engineering Group at the Singapore Institute for Neurotechnology (SINAPSE) under WBS Number R-719  ... 
doi:10.3389/fnsys.2015.00044 pmid:25883555 pmcid:PMC4381643 fatcat:3vp36ydhfbbuni7en7veq6s2oi

Brain connectivity during Alzheimer's disease progression and its cognitive impact in a transgenic rat model [article]

Emma Muñoz-Moreno, Raúl Tudela, Xavier López-Gil, Guadalupe Soria
2019 bioRxiv   pre-print
The results confirm findings observed in human populations at risk of AD and provide new insights in the evolution of brain networks affected by the disease.  ...  While DNMS results were influenced by the structural brain network in transgenic animals, functional network has a major effect in the performance of control subjects.  ...  Acknowledgements This work was supported the Plan Nacional I+D+I and co-funded by ISCIII-Subdirección General  ... 
doi:10.1101/690180 fatcat:5br55avmpjefjdyo4xokh4e7o4

Enhanced prediction of cognitive function using aging-sensitive networks within the human structural connectome [article]

James W Madole, Stuart J Ritchie, Simon R Cox, Colin R Buchanan, Maria Valdés Hernández, Susana R Muñoz Maniega, Joanna M Wardlaw, Mathew A Harris, Mark E Bastin, Ian J Deary, Elliot M Tucker-Drob
2019 bioRxiv   pre-print
grey matter volumes (nodes) and white matter structural connectivity (edges) within networks-of-interest in the human brain connectome.  ...  However, node and edge integrity remained associated with age 73 cognitive function after controlling for childhood IQ.  ...  Building on research detailing intrinsic networks within the human functional connectome 24,25 , we create structural connectome masks to partition the whole-brain connectome into ten prespecified networks-of-interest  ... 
doi:10.1101/2019.12.13.875559 fatcat:a3pykowwkraulovulazlxemxye
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