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Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia

Haleh Falakshahi, Steven Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey Plis, Vince D. Calhoun, Victor Manuel Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford (+4 others)
2020 IEEE Transactions on Biomedical Engineering  
In this paper, we introduce a method that takes advantage of multimodal data in addressing the hypotheses of disconnectivity and dysfunction within schizophrenia (SZ).  ...  Our results show missing links that are only captured by the cross-modal information that may play an important role in disconnectivity between the components. we identified multimodal (fALFF, FA and GM  ...  MATERIALS AND METHODS In this section, we describe our method for meta-modal information flow analysis to determine the pathways and pathblocking features of the multimodal data.  ... 
doi:10.1109/tbme.2020.2964724 pmid:31944934 pmcid:PMC7538162 fatcat:pleq73bxardghcagya3zhky4ui

Multimodal Magnetic Resonance Imaging for Brain Disorders: Advances and Perspectives

Tianzi Jiang, Yong Liu, Feng Shi, Ni Shu, Bing Liu, Jiefeng Jiang, Yuan Zhou
2008 Brain Imaging and Behavior  
We will also give our perspectives for the future in these fields. The ultimate goal of our study is to find early biomarkers based on multimodal neuroimages and genome datasets for brain disorders.  ...  We believe that we can use brain images to obtain effective biomarkers for various brain disorders with the aid of developing computational methods and models.  ...  Although these two modalities separately provide both anatomical and functional information about the brain, the relationship between them has attracted increasing attention in recent years (for a review  ... 
doi:10.1007/s11682-008-9038-z fatcat:2sjqrh7sunbr5gzulmfcksfeki

The quest for biomarkers in Schizophrenia: from neuroimaging to machine learning

Miguel Bajouco, David Mota, Manuel Coroa, Salomé Caldeira, Vitor Santos, Nuno Madeira
2017 International Journal of Clinical Neurosciences and Mental Health  
This paper reviews neuroimaging studies from different modalities that may provide relevant biomarkers for schizophrenia.  ...  Neuroimaging research in schizophrenia has shed some light in a vast array of structural and functional connectivity abnormalities and neurochemical (dopamine and glutamate) imbalances, which may constitute  ...  Indeed, schizophrenia is a heterogeneous and complex disorder and biomarkers of a single imaging modality do not capture the heterogeneity and complexity of this brain disorder.  ... 
doi:10.21035/ijcnmh.2017.4(suppl.3).s03 fatcat:usbvu4ar3bfk7jjnchvjftfd6q

Harnessing networks and machine learning in neuropsychiatric care

Eli J Cornblath, David M Lydon-Staley, Danielle S Bassett
2019 Current Opinion in Neurobiology  
Such methods combine analytic power, interpretability, and direct connection to underlying theory in cognitive neuroscience.  ...  Recent progress in identifying illness subtypes and predicting treatment response in neuropsychiatry has been supported by these study designs, along with methods bridging machine learning and network  ...  Ultimately, meta-analysis of deep studies might inform a generalizable approach, if not pathophysiological principles, for making individual predictions of the optimal treatment as a function of time and  ... 
doi:10.1016/j.conb.2018.12.010 pmid:30641443 pmcid:PMC6839408 fatcat:wzxhhmtu4bbotbiv44pps55ciq

Multimodal neuroimaging computing: the workflows, methods, and platforms

Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis
2015 Brain Informatics  
We review the current workflows and methods for multimodal neuroimaging computing, and also demonstrate how to conduct research using the established neuroimaging computing packages and platforms.  ...  Multimodal neuroimaging computing is very challenging, and requires sophisticated computing to address the variations in spatiotemporal resolution and merge the biophysical/biochemical information.  ...  any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s40708-015-0020-4 pmid:27747508 pmcid:PMC4737665 fatcat:hr5otfj36ngm7pyvbmvzwlyv4q

Network-based brain computer interfaces: principles and applications [article]

Juliana Gonzalez-Astudillo, Tiziana Cattai, Giulia Bassignana, Marie-Constance Corsi, Fabrizio De Vico Fallani
2021 arXiv   pre-print
In this topical review, we aim to provide the state-of-the-art supporting the development of a network theoretic approach as a promising tool for understanding BCIs and improve usability.  ...  In the last decade, growing evidence has shown that the brain works as a networked system composed of multiple specialized and spatially distributed areas that dynamically integrate information.  ...  For example, if the goal of the study is to determine information flows between two brain areas, a directed estimator should be used in a bivariate framework.  ... 
arXiv:2006.13187v3 fatcat:4dditu7dcrcupdg7iwncun54vq

7th European Conference on Schizophrenia Research: Time for precision medicine?

2019 European Archives of Psychiatry and Clinical Neuroscience  
The costs for publication were fully covered by delegates' payments of registration fees.  ...  Methods: In a study at Oslo University Hospital in Norway, 48 O-04-004 Meta-analysis of cognitive performance in drug-naïve patients with schizophrenia H.  ...  O-03-004 Association of cortical glutamate and working memory activation in patients with schizophrenia: a multimodal 1H-MRS and fMRI study J.  ... 
doi:10.1007/s00406-019-01045-6 fatcat:4tbfk4p4yngqto7uxhrdczle54

Graph analysis of functional brain networks: practical issues in translational neuroscience

F. De Vico Fallani, J. Richiardi, M. Chavez, S. Achard
2014 Philosophical Transactions of the Royal Society of London. Biological Sciences  
In the last decade, the abstract representation of the brain as a graph has allowed to visualize functional brain networks and describe their non-trivial topological properties in a compact and objective  ...  Nowadays, the use of graph analysis in translational neuroscience has become essential to quantify brain dysfunctions in terms of aberrant reconfiguration of functional brain networks.  ...  Instead, a directed FC method (e.g. causality-based) would be theoretically more informative due to its ability to measure activity propagation and then identify sources of information flows [70] .  ... 
doi:10.1098/rstb.2013.0521 pmid:25180301 pmcid:PMC4150298 fatcat:qneezcelfvhwxlpxupiwccbht4

2020 Index IEEE Transactions on Biomedical Engineering Vol. 67

2020 IEEE Transactions on Biomedical Engineering  
., A Time-Frequency Approach for Cerebral Embolic Load Monitoring; TBME April 2020 1007-1018 Imaduddin, S.M., Fanelli, A., Vonberg, F.W., Tasker, R.C., and Heldt, T., Pseudo-Bayesian Model-Based Noninvasive  ...  TBME April 2020 1105-1113 Narayanan, A.M., and Bertrand, A., Analysis of Miniaturization Effects and Channel Selection Strategies for EEG Sensor Networks With Application to Auditory Attention Detection  ...  ., +, TBME July 2020 1969-1981 Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia.  ... 
doi:10.1109/tbme.2020.3048339 fatcat:y7zxxew27fgerapsnrhh54tm7y

The Radically Embodied Conscious Cybernetic Bayesian Brain: From Free Energy to Free Will and Back Again

Adam Safron
2021 Entropy  
Quasi-homuncular ESMs are suggested to constitute a major organizing principle for neural architectures due to their initial and ongoing significance for solutions to inference problems in cognitive (and  ...  If ESMs play this kind of foundational role in cognitive development, then bidirectional linkages will be found between all sensory modalities and frontal-parietal control hierarchies, so infusing all  ...  Multimodal sensory integration allowing for ambiguity reduction in one modality based on information within other modalities (i.e., cross-modal priors). 3.  ... 
doi:10.3390/e23060783 pmid:34202965 pmcid:PMC8234656 fatcat:3aeci6xnlbhlridxgsm2hygs3y

Poster Session I

2013 Neuropsychopharmacology  
Methods: Subjects were given 5 mg/day open label folate for 3 months.  ...  Cognitive deficits (attention, working memory, and cognitive flexibility) are considered a core symptom cluster in schizophrenia (SZ); predictive of functional outcome yet not alleviated by current drug  ...  Slifstein, A. Abi-Dargham, and S. Kapur, Arch Gen Psychiatry 69, 776 (2012). 2  ... 
doi:10.1038/npp.2013.279 fatcat:54ipecxjarcvljrvn5fgtgif5u

Introduction to JINS Special Issue on Human Brain Connectivity in the Modern Era: Relevance to Understanding Health and Disease

Deanna M. Barch, Mieke Verfaellie, Stephen M. Rao
2016 Journal of the International Neuropsychological Society  
JINS Vo l u m e 2 2 , N u m b e r 2 F e b r u a r y 2 0 1 6 I S S N 1 3 5 5 -6 1 7 7  ...  Scanning was carried out at the Athinoula A.  ...  Martinos Center for Biomedical Imaging at the Massachusetts General Hospital, which receives funding from P41EB015896, a Biotechnology Resource Grant supported by the National Institute of Biomedical Imaging  ... 
doi:10.1017/s1355617716000047 fatcat:f2preenihbes5ftkrxbo7tgt64

Panel, Mini-panel and Study Group

2014 Neuropsychopharmacology  
Methods: In a series of studies in healthy individuals and unaffected first-degree relatives of schizophrenia patients we have established and confirmed the link of these phenotypes to the genetic liability  ...  for schizophrenia.  ...  A brief description of methods for each modality follows. Anatomical analyses were carried out in Free Surfer (for the cortical mantle).  ... 
doi:10.1038/npp.2014.279 pmid:25466712 pmcid:PMC4261146 fatcat:v6fgkukh6zgtdmswrjpk46dvhi

Alterations in Brain Network Topology and Structural-Functional Connectome Coupling Relate to Cognitive Impairment

Juan Wang, Reza Khosrowabadi, Kwun Kei Ng, Zhaoping Hong, Joanna Su Xian Chong, Yijun Wang, Chun-Yin Chen, Saima Hilal, Narayanaswamy Venketasubramanian, Tien Yin Wong, Christopher Li-Hsian Chen, Mohammad Kamran Ikram (+1 others)
2018 Frontiers in Aging Neuroscience  
Mild CIND only had higher nodal degree centrality in dorsal parietal regions.  ...  Functional differences were more subtle, with both CIND groups showing lower nodal centrality and efficiency in temporal and somatomotor regions.  ...  The global efficiency E is a measure of the capacity for parallel information transfer in the network.  ... 
doi:10.3389/fnagi.2018.00404 pmid:30618711 pmcid:PMC6300727 fatcat:fo5b27qlbzd6niyhwhlsunfthu

Functional Connectivity of the Brain Across Rodents and Humans [article]

Nan Xu, Theodore J. LaGrow, Nmachi Anumba, Azalea Lee, Xiaodi Zhang, Behnaz Yousefi, Yasmine Bassil, Gloria Perrin Clavijo, Vahid Khalilzad Sharghi, Eric Maltbie, Lisa Meyer-Baese, Maysam Nezafati (+2 others)
2022 arXiv   pre-print
Rodents, as a typical animal model in neuroscience, play an important role in the studies that examine the neuronal processes that underpin the spontaneous fluctuations in the BOLD signal and the functional  ...  Applications demonstrating the use of rs-fMRI as a translational tool for cross-species analysis are discussed, with an emphasis on neurological and psychiatric disorders.  ...  Acknowledgments The authors would like to thank Harry Watters for helpful discussions, and acknowledge funding from 1R01MH111416, 1R01NS078095, and 1R01EB029857.  ... 
arXiv:2111.05912v5 fatcat:6vqseyf5qvgdjdbhy5esnpjrse
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