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Test-retest reliability of regression dynamic causal modeling [article]

Stefan Frässle, Klaas Enno Stephan
2021 bioRxiv   pre-print
Regression dynamic causal modeling (rDCM) is a novel and computationally highly efficient method for inferring effective connectivity at the whole-brain level.  ...  While face and construct validity of rDCM have already been demonstrated, here we assessed its test-retest reliability – a test-theoretical property of particular importance for clinical applications –  ...  Test-retest 29 reliability of dynamic causal modeling for fMRI. Neuroimage 117, 56-66. 30 Frässle, S., Yao, Y., Schöbi, D., Aponte, E.A., Heinzle, J., Stephan, K.E., 2018b.  ... 
doi:10.1101/2021.06.01.446526 fatcat:x7vbckd7yzbazed2awaw5fzjta

Test–Retest Reliability of Synchrony and Metastability in Resting State fMRI

Lan Yang, Jing Wei, Ying Li, Bin Wang, Hao Guo, Yanli Yang, Jie Xiang
2021 Brain Sciences  
Among these, DMN and LIM had a relatively higher testretest reliability of metastability than other networks.  ...  This paper provides a methodological reference for exploring the brain dynamic neural activity by using synchrony and metastability in fMRI signals.  ...  Nodes Definition Strategies Slightly Affect the Reliability of Dynamic Measurement We observed a comparable test-retest reliability for the examined strategies of node definition for neurodynamic indexes  ... 
doi:10.3390/brainsci12010066 pmid:35053813 pmcid:PMC8773904 fatcat:vnftkzjwf5gexijo3jga25twca

Fully Integrated PET/MR Imaging for the Assessment of the Relationship Between Functional Connectivity and Glucose Metabolic Rate

Lalith Kumar Shiyam Sundar, Shahira Baajour, Thomas Beyer, Rupert Lanzenberger, Tatjana Traub-Weidinger, Ivo Rausch, Ekaterina Pataraia, Andreas Hahn, Lucas Rischka, Marius Hienert, Eva-Maria Klebermass, Otto Muzik
2020 Frontiers in Neuroscience  
used to correct for these fluctuations in intrinsic brain activity.  ...  To reduce CMRGlc variability associated with these fluctuations, the objective of this study was to determine whether functional connectivity measures derived from resting-state fMRI (rs-fMRI) could be  ...  ACKNOWLEDGMENTS We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research.  ... 
doi:10.3389/fnins.2020.00252 pmid:32269510 pmcid:PMC7111429 fatcat:xmpfzdth7jdmjhxwhpi33zymzm

Test-retest reliability of longitudinal task-based fMRI: Implications for developmental studies

Megan M. Herting, Prapti Gautam, Zhanghua Chen, Adam Mezher, Nora C. Vetter
2017 Developmental Cognitive Neuroscience  
Here we review the current state of test-retest reliability for child and adolescent fMRI studies (ages 5-18 years) as indexed by intraclass correlation coefficients (ICC).  ...  In addition to highlighting ways to improve fMRI test-retest reliability in developmental cognitive neuroscience research, we hope to open a platform for dialogue regarding longitudinal fMRI study designs  ...  (SFB 940/1, VE 892/2-1), and the MedDrive Start Grant of the Medical Faculty of the Technische Universität Dresden.  ... 
doi:10.1016/j.dcn.2017.07.001 pmid:29158072 pmcid:PMC5767156 fatcat:44vhcns2erbmvlesncnduqikkq

Estimation and Validation of Individualized Dynamic Brain Models with Resting State fMRI

Matthew F. Singh, Todd S. Braver, Michael W. Cole, ShiNung Ching
2020 NeuroImage  
A key challenge for neuroscience is to develop generative, causal models of the human nervous system in an individualized, data-driven manner.  ...  We demonstrate that the models are valid, reliable, and robust. We show that MINDy models are predictive of individualized patterns of resting-state brain dynamical activity.  ...  A) Comparison of the test-retest similarity between subjects (red) and the test-retest reliability (blue) for rsFC and the MINDy parameters.  ... 
doi:10.1016/j.neuroimage.2020.117046 pmid:32603858 pmcid:PMC7875185 fatcat:c2sbnfd2jraexdrfazppk74faa

Individualized Dynamic Brain Models: Estimation and Validation with Resting-State fMRI [article]

Matthew Singh, Todd Braver, Michael Cole, ShiNung Ching
2019 bioRxiv   pre-print
A key challenge for neuroscience is to develop generative, causal models of the human nervous system in an individualized, data-driven manner.  ...  We demonstrate that the models are valid, reliable, and robust.  ...  test-retest reliability.  ... 
doi:10.1101/678243 fatcat:2k6xrxghvzhszhuml3ivovwwre

Disentangling causal webs in the brain using functional Magnetic Resonance Imaging: A review of current approaches [article]

Natalia Z. Bielczyk, Sebo Uithol, Tim van Mourik, Paul Anderson, Jeffrey C. Glennon, Jan K. Buitelaar
2019 arXiv   pre-print
In this work, we discuss eight ways to infer causality in fMRI research: Bayesian Nets, Dynamical Causal Modelling, Granger Causality, Likelihood Ratios, LiNGAM, Patel's Tau, Structural Equation Modelling  ...  Recently this approach has been augmented by algorithms that allow us to infer causal links between component populations of neuronal networks.  ...  One way of assessing reliability of the method is testing for the test-retest convergence.  ... 
arXiv:1708.04020v4 fatcat:r4jdjsl4qzdkriawdmuss2s7cq

Disentangling causal webs in the brain using functional Magnetic Resonance Imaging: A review of current approaches

Natalia Z. Bielczyk, Sebo Uithol, Tim van Mourik, Paul Anderson, Jeffrey C. Glennon, Jan K. Buitelaar
2018 Network Neuroscience  
In this paper, we discuss eight ways to infer causality in fMRI research: Bayesian Nets, Dynamical Causal Modelling, Granger Causality, Likelihood Ratios, Linear Non-Gaussian Acyclic Models, Patel's Tau  ...  Recently this approach has been augmented by algorithms that allow us to infer causal links between component populations of neuronal networks.  ...  One way of assessing reliability of the method is testing for the test-retest convergence.  ... 
doi:10.1162/netn_a_00062 pmid:30793082 pmcid:PMC6370462 fatcat:byhtpa3pq5dxpfmpvbwtcmctny

Resting-state functional brain connectivity best predicts the personality dimension of openness to experience [article]

Julien Dubois, Paola Galdi, Yanting Han, Lynn K. Paul, Ralph Adolphs
2017 bioRxiv   pre-print
Across all results (test/retest; 3 denoising strategies; 2 alignment schemes; 3 models), openness to experience emerged as the only reliably predicted personality factor.  ...  We tested three different (published) denoising strategies for the fMRI data, two inter-subject alignment and brain parcellation schemes, and three different linear models for prediction.  ...  The multivariate model performed best on the scores that were predicted most reliably, yet it also seemed to have lower test-retest reliability.  ... 
doi:10.1101/215129 fatcat:ratswnrq3nd4looypc4tgoh2ay

Mutual connectivity analysis of resting-state functional MRI data with local models

Adora M. DSouza, Anas Z. Abidin, Udaysankar Chockanathan, Giovanni Schifitto, Axel Wismüller
2018 NeuroImage  
Furthermore, MCA-LM works very well for simulations generated at weak neuronal interaction strengths, and simulations modeling inhibitory and excitatory connections as it disentangles the two opposing  ...  Methods that can capture the complex dynamics of brain activity, such as MCA-LM, should be adopted to extract as much information as possible from the improved representation.  ...  This work was conducted as a Practice Quality Improvement (PQI) project related to American Board of Radiology (ABR) Maintenance of Certificate (MOC) for Prof. Dr. Axel Wismüller.  ... 
doi:10.1016/j.neuroimage.2018.05.038 pmid:29777828 pmcid:PMC6054476 fatcat:7ktj6hxiwjbcplohwedr56e3bi

Resting-State Functional Brain Connectivity Best Predicts the Personality Dimension of Openness to Experience

Julien Dubois, Paola Galdi, Yanting Han, Lynn K. Paul, Ralph Adolphs
2018 Personality Neuroscience  
Across all results (test/retest; three denoising strategies; two alignment schemes; three models), Openness to experience emerged as the only reliably predicted personality factor.  ...  We tested three different (published) denoising strategies for the fMRI data, two intersubject alignment and brain parcellation schemes, and three different linear models for prediction.  ...  Conflicts of Interest: The authors have nothing to disclose. Supplementary Material: To view supplementary material for this article, please visit https://doi.org/10.1017/pen.2018.8.  ... 
doi:10.1017/pen.2018.8 pmid:30225394 pmcid:PMC6138449 fatcat:ulupvsesgzc2tkmvjssvqcsq3i

Dominance of the Unaffected Hemisphere Motor Network and Its Role in the Behavior of Chronic Stroke Survivors

Sahil Bajaj, Stephen N. Housley, David Wu, Mukesh Dhamala, G. A. James, Andrew J. Butler
2016 Frontiers in Human Neuroscience  
Very few studies have examined the role of the unaffected brain hemisphere and confirmed the test-retest reliability of connectivity measures on unaffected hemisphere.  ...  Using dynamic causal modeling (DCM), we evaluated effective connectivity among three motor areas: the primary motor area (M1), the premotor cortex (PMC) and the supplementary motor area for the affected  ...  However, the test-retest reliability of DCM for fMRI was again in question recently when different versions of DCM were tested.  ... 
doi:10.3389/fnhum.2016.00650 pmid:28082882 pmcid:PMC5186808 fatcat:hhmouwgiljfzljq4kmyhwamrem

Computational Modeling Applied to the Dot-Probe Task Yields Improved Reliability and Mechanistic Insights

Rebecca B. Price, Vanessa Brown, Greg J. Siegle
2018 Biological Psychiatry  
Biased patterns of attention are implicated as key mechanisms across many forms of psychopathology and have given rise to automated mechanistic interventions designed to modify such attentional preferences  ...  However, progress is substantially hindered by limitations in widely used methods to quantify attention, bias leading to imprecision of measurement.  ...  We gratefully acknowledge Danielle Gilchrist, Logan Cummings, Simona Graur, and the study participants for their contributions to this work.  ... 
doi:10.1016/j.biopsych.2018.09.022 pmid:30449531 pmcid:PMC6420394 fatcat:blatdeixjjfyjomdc2b6kyetgy

Occurrence of non-western magic in the European brain [article]

Jan Willem Koten, Andre Schueppen, Vinod Kumar, Guilherme Wood
2018 bioRxiv   pre-print
However, superior statistical properties of SG pipelines may not reflect neural reality. Hence, causal external validation of fc-MRI pipelines is crucial.  ...  The number of paths detected with fair true connectivity (r >0.4) was 4 for the pipeline that was based on the SPM filter but 352 for the SG based pipeline.  ...  Finally one could argue that SG filters may also improve reliability of sophisticated methods such as granger causality, structural equation modelling or dynamic causal modelling.  ... 
doi:10.1101/395285 fatcat:7szxg3ay65fjrdob46dh6xrcxi

Clinical applications of the functional connectome

F. Xavier Castellanos, Adriana Di Martino, R. Cameron Craddock, Ashesh D. Mehta, Michael P. Milham
2013 NeuroImage  
Here, we assess evidence of the readiness of R-fMRI based functional connectomics to lead to clinically meaningful biomarker identification through the lens of the criteria used to evaluate clinical tests  ...  We focus on current R-fMRI-based prediction efforts, and survey R-fMRI used for neurosurgical planning.  ...  Acknowledgments The authors thank Eva Petkova, PhD for computing the ROC curves and providing Fig. 1 .  ... 
doi:10.1016/j.neuroimage.2013.04.083 pmid:23631991 pmcid:PMC3809093 fatcat:5oen72do2zf5liz43pwlp3krom
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