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Investigating the Intersession Reliability of Dynamic Brain-State Properties

Derek M. Smith, Yrian Zhao, Shella D. Keilholz, Eric H. Schumacher
2018 Brain Connectivity  
Changes in the brain-state properties across the course of the scan were investigated as well.  ...  Multiple gauges of reliability indicated consistency in the brain-state properties across days and GSR attenuated the reliability of the brain states.  ...  Data were provided [in part] by the HCP, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH blueprint  ... 
doi:10.1089/brain.2017.0571 pmid:29924644 pmcid:PMC6909700 fatcat:pocoaa5apbanvahavzzmycciwe

The Resting Brain: Unconstrained yet Reliable

Zarrar Shehzad, A. M. Clare Kelly, Philip T. Reiss, Dylan G. Gee, Kristin Gotimer, Lucina Q. Uddin, Sang Han Lee, Daniel S. Margulies, Amy Krain Roy, Bharat B. Biswal, Eva Petkova, F. Xavier Castellanos (+1 others)
2009 Cerebral Cortex  
Across studies, the patterns of functional connectivity detected are remarkably consistent. However, the test--retest reliability for measures of resting state fcMRI measures has not been determined.  ...  Despite this increasing popularity, concerns about the psychologically unconstrained nature of the "resting-state" remain.  ...  We would also like to thank our volunteers, who endured several hours of scanning over the past 2 years. Conflict of Interest : None declared. Address correspondence to Dr Michael P.  ... 
doi:10.1093/cercor/bhn256 pmid:19221144 pmcid:PMC3896030 fatcat:hap3qr45ljc7pmf65urystsxs4

Regional reproducibility of pulsed arterial spin labeling perfusion imaging at 3T

Yang Wang, Andrew J. Saykin, Josef Pfeuffer, Chen Lin, Kristine M. Mosier, Li Shen, Sungeun Kim, Gary D. Hutchins
2011 NeuroImage  
We investigated both inter-and intra-session reproducibility of perfusion MRI using a pulsed ASL (PASL) sequence PICORE Q2TIPS with an echo-planar imaging (EPI) readout.  ...  SD W : 2.0 to 8.8; intrasession SD W : 2.8 to 9.6) and acceptable reliabilities as measured using intraclass correlation coefficient (ICC) (intersession ICC: 0.68 to 0.94; intrasession ICC: 0.66 to 0.95  ...  Acknowledgments Data analysis was supported in part by the following grants from the National Institutes of Health: NIA R01 AG19771 and NCI R01 CA101318 to AJS, P30 AG10133-18S1 to B.  ... 
doi:10.1016/j.neuroimage.2010.08.043 pmid:20800097 pmcid:PMC2997151 fatcat:a72mai2ewfhbrodom5z5rhgq5e

Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks

Susan Whitfield-Gabrieli, Alfonso Nieto-Castanon
2012 Brain Connectivity  
Resting state functional connectivity reveals intrinsic, spontaneous networks that elucidate the functional architecture of the human brain.  ...  We describe the methods implemented in the Conn toolbox for the analysis of fcMRI data, together with examples of use and interscan reliability estimates of all the implemented fcMRI measures.  ...  Author Disclosure Statement The authors of the study have no conflict of interest to declare.  ... 
doi:10.1089/brain.2012.0073 pmid:22642651 fatcat:cynvmokadjhf7eyqa4w32r7da4

Individual structural features constrain the mouse functional connectome

Francesca Melozzi, Eyal Bergmann, Julie A. Harris, Itamar Kahn, Viktor Jirsa, Christophe Bernard
2019 Proceedings of the National Academy of Sciences of the United States of America  
Whole brain dynamics intuitively depend upon the internal wiring of the brain; but to which extent the individual structural connectome constrains the corresponding functional connectome is unknown, even  ...  Using a virtual mouse brain derived from the Allen Mouse Brain Connectivity Atlas, we further show that the dominant predictors of individual structure–function relations are the asymmetry and the weights  ...  Simulate Resting State Dynamics. We simulate resting state dynamics using the connectome-based model approach as implemented in The Virtual Brain software (9, 62) .  ... 
doi:10.1073/pnas.1906694116 pmid:31826956 fatcat:axf5mxcqwfeltec6n2ntymyuge

A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity

Lijie Huang, Taicheng Huang, Zonglei Zhen, Jia Liu
2016 Scientific Data  
We present a test-retest dataset for evaluation of long-term reliability of measures from structural and resting-state functional magnetic resonance imaging (sMRI and rfMRI) scans.  ...  For example, data from each single session could be used to associate structural and functional measures of the brain with the IQ metrics to explore brain-IQ association.  ...  Acknowledgements This study was funded by the National Natural Science Foundation of China (31230031, 31221003, 31471067 and 31470055), the National Social Science Foundation of China (13&ZD073, 14ZDB160  ... 
doi:10.1038/sdata.2016.16 pmid:26978040 pmcid:PMC4792176 fatcat:kkmwwsjeibaf5kujgggrs6fz64

Network Centrality in the Human Functional Connectome

Xi-Nian Zuo, Ross Ehmke, Maarten Mennes, Davide Imperati, F. Xavier Castellanos, Olaf Sporns, Michael P. Milham
2011 Cerebral Cortex  
Here, using resting state functional magnetic resonance imaging data from 1003 healthy adults, we investigate a broad array of network centrality measures to provide novel insights into connectivity within  ...  Beyond "detecting functional hubs," we treat centrality as measures of functional connectivity within the brain connectome and demonstrate their reliability and phenotypic correlates (i.e., age and sex  ...  Notes The authors would like to thank Dr Ernesto Estrada for valuable discussion on subgraph centrality of very large graphs, Drs Adriana Di Martino and Stan Colcombe for editorial comments, and Drs Clare  ... 
doi:10.1093/cercor/bhr269 pmid:21968567 fatcat:j3mqesb6hzhgrbjjddqd26kboy

A Perspective on Human Movement Variability with Applications in Infancy Motor Development

Nicholas Stergiou, Yawen Yu, Anastasia Kyvelidou
2013 Kinesiology Review  
The model suggests that the development of healthy and highly adaptable systems relies on the achievement of an optimal state of variability.  ...  The complementary use of linear and nonlinear measures have recently allowed for the evaluation of not only the magnitude of variability but also the temporal structure of variability.  ...  The repeat testing within one week of each month was used for the estimation of the intersession reliability.  ... 
doi:10.1123/krj.2.1.93 fatcat:5lwgl62y3bfz7cun6fnn7cuklu

Reliable local dynamics in the brain across sessions are revealed by whole‐brain modeling of resting state activity

Patricio Donnelly‐Kehoe, Victor M. Saenger, Nina Lisofsky, Simone Kühn, Morten L. Kringelbach, Jens Schwarzbach, Ulman Lindenberger, Gustavo Deco
2019 Human Brain Mapping  
Resting state fMRI is a tool for studying the functional organization of the human brain.  ...  Here we develop an imaging-based technique capable of reliably portraying information of local dynamics at a single-subject level by using a whole-brain model of ongoing dynamics that estimates a local  ...  A model with the right set of BPs allowed us to simulate brain signals, matching dynamical properties of the brain. Therefore, we named the full set of BPs as dynamical core (DynCore) of the brain .  ... 
doi:10.1002/hbm.24572 pmid:30882961 fatcat:lxevvx6uzfa7pm4hjieg5whoke

A Resilient, Non-neuronal Source of the Spatiotemporal Lag Structure Detected by BOLD Signal-Based Blood Flow Tracking

Toshihiko Aso, Guanhua Jiang, Shin-ichi Urayama, Hidenao Fukuyama
2017 Frontiers in Neuroscience  
The first experiment investigated the effect of denoising and the second was designed to study the effect of subject behavior on lag mapping.  ...  The lag map's intersession testretest reproducibility and image contrast were both diminished by removal of either the neuronal or the non-neuronal (e.g., cardiac, respiratory) components by independent  ...  In this study, a portion of which was presented previously as a poster (Aso et al., 2015) , we aimed to investigate basic properties of this major confound in BOLD signal by testing the effect of various  ... 
doi:10.3389/fnins.2017.00256 pmid:28553198 pmcid:PMC5425609 fatcat:qx4cibo2mndfro5yk57ejxl5le

Tools of the trade: Estimating time-varying connectivity patterns from fMRI data

Armin Iraji, Ashkan Faghiri, Noah Lewis, Zening Fu, Srinivas Rachakonda, Vince D Calhoun
2020 Social Cognitive and Affective Neuroscience  
Given the dynamic nature of the brain, there has always been a motivation to move beyond "static" functional connectivity, which characterizes functional interactions over an extended period of time.  ...  Finally, we walk readers through an openly accessible toolbox to capture dFC properties and briefly review some of the dynamic metrics calculated using this toolbox.  ...  Conflict of Interest The authors declare no conflicts of interest.  ... 
doi:10.1093/scan/nsaa114 pmid:32785604 pmcid:PMC8343585 fatcat:jsizrhbyu5hh7alzwguokrwhpa

Application of High-Frequency Repetitive Transcranial Magnetic Stimulation to the DLPFC Alters Human Prefrontal-Hippocampal Functional Interaction

E. Bilek, A. Schafer, E. Ochs, C. Esslinger, M. Zangl, M. M. Plichta, U. Braun, P. Kirsch, T. G. Schulze, M. Rietschel, A. Meyer-Lindenberg, H. Tost
2013 Journal of Neuroscience  
in the absence of illness-related confounds, but the relationship to brain plasticity is unexplored.  ...  Neural plasticity is crucial for understanding the experience-dependent reorganization of brain regulatory circuits and the pathophysiology of schizophrenia.  ...  Introduction Neural plasticity is critical for mental health, and is mediated by fine-tuned mechanisms such as long-term potentiation (LTP) which modify the dynamic properties of neurons and facilitate  ... 
doi:10.1523/jneurosci.3081-12.2013 pmid:23595762 pmcid:PMC6618883 fatcat:4bnm3qq6pzfzjco77oabe76y7q

Individual variability in the human connectome maintains selective cross-modal consistency and shares microstructural signatures [article]

Esin Karahan, Luke Tait, Ruoguang Si, Aysegul Ozkan, Maciek Szul, Jiaxiang Zhang
2021 bioRxiv   pre-print
Variability in connectivity is associated with cortical myelin content and microstructural properties of connections.  ...  Here, by using multimodal imaging data including diffusion MRI, functional MRI and MEG, we show the consistency of interindividual variation of connectivity across modalities.  ...  First, fMRI derived functional connectome cannot capture fast dynamics and oscillations of brain activity in milliseconds resolution [8] .  ... 
doi:10.1101/2021.04.01.438129 fatcat:o2qdo7lqtfbhdcv7vppknpzwu4

Intra- and Multicenter Reproducibility of Pulsed, Continuous and Pseudo-Continuous Arterial Spin Labeling Methods for Measuring Cerebral Perfusion

Sanna Gevers, Matthias J van Osch, Reinoud PH Bokkers, Dennis A Kies, Wouter M Teeuwisse, Charles B Majoie, Jeroen Hendrikse, Aart J Nederveen
2011 Journal of Cerebral Blood Flow and Metabolism  
On the basis of the results of this study, one could consider the use of reference values in clinical routine, with whole-brain p-CASL perfusion varying < 20% over repeated measurements within the same  ...  Voxelwise analysis of variance was performed, yielding brain maps that reflected regional variability.  ...  scanned multiple times and at multiple sites gives a very strong support for the reliability of current state-of-the-art ASL techniques.  ... 
doi:10.1038/jcbfm.2011.10 pmid:21304555 pmcid:PMC3170937 fatcat:fhtagjq5tfc2dnfndgd2ijx26m

Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry

Najmeh Khalili-Mahani, Serge A.R.B. Rombouts, Matthias J.P. van Osch, Eugene P. Duff, Felix Carbonell, Lisa D. Nickerson, Lino Becerra, Albert Dahan, Alan C Evans, Jean-Paul Soucy, Richard Wise, Alex P. Zijdenbos (+1 others)
2017 Human Brain Mapping  
Overall, RSfMRIderived biomarkers seem to be sensitive to spatiotemporal dynamics of drug interactions with the brain.  ...  This review aims to bridge between technical and clinical researchers who seek reliable neuroimaging biomarkers for studying drug interactions with the brain.  ...  , and the dynamics of change in spectral power or network properties of the brain are evaluated across different phases of the pharmacokinetic profile (Fig. 1D ).  ... 
doi:10.1002/hbm.23516 pmid:28145075 fatcat:o6h7ahdzerbbngzx6vcfsvbn3q
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