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The relationship between BOLD signal and autonomic nervous system functions: implications for processing of "physiological noise"
2011
Magnetic Resonance Imaging
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One of the central outstanding questions, given the features of the blood oxygenation level-dependent (BOLD) signal, is whether and how autonomic nervous system (ANS) functions are related to changes in ...
meaningful component of the signal that is useful for understanding brain function. ...
The interrelation between RVT and brain function was examined by probing for correlations between BOLD time series and RVT lagged regressors, obtaining significant values at hemodynamically relevant time ...
doi:10.1016/j.mri.2011.03.006
pmid:21543181
fatcat:et3ym6jgb5c3hg77wbvyb6jega
Simultaneous EEG and fMRI Reveals a Causally Connected Subcortical-Cortical Network during Reward Anticipation
2013
Journal of Neuroscience
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Analysis of causal interactions between the thalamus (THAL), ventral-striatum (VS), and supplementary motor area (SMA), using both mediator analysis and dynamic causal modeling, revealed that (1) THAL ...
fMRI blood oxygenation level-dependent (BOLD) activity is mediating intermodal correlations between the EEG contingent negative variation (CNV) signal and the fMRI BOLD signal in SMA and VS, (2) the underlying ...
By using conventional general linear model (GLM) analysis and analysis of causal interactions between the THAL, VS, and SMA based on mediator analysis and dynamic causal modeling (DCM) we show that (1) ...
doi:10.1523/jneurosci.0631-13.2013
pmid:24005303
pmcid:PMC6618373
fatcat:wf52s2gp6rddjiue4eewett7f4
Investigating neural primacy in Major Depressive Disorder: multivariate Granger causality analysis of resting-state fMRI time-series data
2010
Molecular Psychiatry
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We used multivariate GC analysis, a technique that estimates the extent to which preceding neural activity in one or more seed regions predicts subsequent activity in target brain regions, to analyze bloodoxygen-level-dependent ...
(BOLD) data collected during eyes-closed rest from depressed and never-depressed persons. ...
All authors had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. ...
doi:10.1038/mp.2010.46
pmid:20479758
pmcid:PMC2925061
fatcat:ruxdkajf2jhzvoh3hd6bd53obe
Psychopathology and the Human Connectome: Toward a Transdiagnostic Model of Risk For Mental Illness
2012
Neuron
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The panoply of cognitive, affective, motivational, and social functions that underpin everyday human experience requires precisely choreographed patterns of interaction between networked brain regions. ...
Here, we discuss how functional brain imaging has provided insights into the nature of brain dysconnectivity in mental illness. ...
ACKNOWLEDGMENTS The authors wish to thank Michael Treadway for insightful discussions and Randy Buckner for comments on a prior version of this manuscript. ...
doi:10.1016/j.neuron.2012.06.002
pmid:22726830
fatcat:zppc3slysff65dlw246pxieogi
Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning
2021
Computational Intelligence and Neuroscience
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This survey focuses on methods from machine learning, which contribute to our understanding of functional interactions between brain regions and their relation to the underlying anatomical substrate. ...
This short survey reviews the recent literature on the relationship between the brain structure and its functional dynamics. ...
Acknowledgments is work was supported by the DFG Project (GR988/25-1) granted to MWG and SW and the Harris Foundation of Dartmouth College granted to MWG. ...
doi:10.1155/2021/5573740
pmid:34135951
pmcid:PMC8177997
fatcat:2e3soglnl5a6jfmgmpaf566zju
Are Structural Changes Induced by Lithium in the HIV Brain Accompanied by Changes in Functional Connectivity?
2015
PLoS ONE
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Generalized partial directed coherence (gPDC), based on time-variant multivariate autoregressive models, was used to quantify the degree of connectivity between the selected ROIs. ...
Seven regions of interest (ROI) were defined based on previously observed lithium induced microstructural changes measured by Diffusion Tensor Imaging. ...
Connectivity analysis The degree of directed information transfer between nodes of the fMRI network was quantified by means of gPDC based on time-variant multivariate autoregressive (tvMVAR) processes. ...
doi:10.1371/journal.pone.0139118
pmid:26436895
pmcid:PMC4593570
fatcat:tgfe7ajaxbhpbfwb3nsjgjb674
FMRI Effective Connectivity and TMS Chronometry: Complementary Accounts of Causality in the Visuospatial Judgment Network
2009
PLoS ONE
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) can map task-specific interactions between brain regions based on the interrelation of measured signals. ...
Granger causality mapping (GCM), a data-driven variant of fMRI EC analysis, revealed a frontal-to-parietal flow of information, from inferior/middle frontal gyrus (MFG) to posterior parietal cortex (PPC ...
For fMRI, different models have been developed to analyze such influence on the basis of (temporal patterns in) BOLD signals [9] . ...
doi:10.1371/journal.pone.0008307
pmid:20011541
pmcid:PMC2789405
fatcat:uk3ame2olrdvlft7ygjokktmoe
Estimating cerebral oxygen metabolism from fMRI with a dynamic multicompartment Windkessel model
2009
Human Brain Mapping
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We use this model in a temporal curve-fitting analysis of the high-temporal resolution functional MRI data to estimate the underlying cerebral vascular and metabolic responses in the brain. ...
We present evidence for the feasibility of our model-based analysis to estimate transient changes in the cerebral metabolic rate of oxygen (CMRO 2 ) in the human motor cortex from combined pulsed arterial ...
We would also like to thank Heval Benav and Drs. Simon Arridge, Ville Kolehmainen and Joe Mandeville for helpful discussion of this manuscript. ...
doi:10.1002/hbm.20628
pmid:18649348
pmcid:PMC2670946
fatcat:zve2k6u6svghzomizh5wggkmga
The Virtual Brain Integrates Computational Modeling and Multimodal Neuroimaging
2013
Brain Connectivity
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This integrated framework allows the modelbased simulation, analysis, and inference of neurophysiological mechanisms over several brain scales that underlie the generation of macroscopic neuroimaging signals ...
Toward this end, The Virtual Brain (TVB) (www.thevirtualbrain.org), a neuroinformatics platform with a brain simulator that incorporates a range of neuronal models and dynamics at its core, has been developed ...
McDonnell Foundation (Brain Network Recovery Group JSMF22002082) granted to P.R., A.R.M., and V.J.; the German Ministry of Education and Research (Bernstein Focus State Dependencies of Learning 01GQ0971 ...
doi:10.1089/brain.2012.0120
pmid:23442172
pmcid:PMC3696923
fatcat:i6677e3cubaqzcbikvczz2uvba
Defining epileptogenic networks: Contribution of SEEG and signal analysis
2017
Epilepsia
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In this review we describe the historical, methodologic, and conceptual bases of this model in the analysis of electrophysiologic intracerebral recordings. ...
Epileptogenic networks are defined by the brain regions involved in the production and propagation of epileptic activities. ...
We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this report is consistent with those guidelines. ...
doi:10.1111/epi.13791
pmid:28543030
fatcat:w263senquzbdnol6rb2concsia
Deficits in Predictive Coding Underlie Hallucinations in Schizophrenia
2014
Journal of Neuroscience
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Furthermore, patients with more severe AVHs had more deficient prediction error signals and greater activity during silence within the region of auditory cortex where groups differed, regardless of the ...
Patients activated a voice-sensitive region of the auditory cortex while they experienced AVHs in the scanner and displayed a concomitant deficit in prediction error signals in a similar portion of auditory ...
No other brain regions displaying PE signals showed significant differences between patients and control subjects in either direction in a whole-brain, voxelwise analysis. ...
doi:10.1523/jneurosci.0200-14.2014
pmid:24920613
pmcid:PMC4051966
fatcat:loe3ces4jbfxbetaz6wz2w5lvu
Structural and Functional Magnetic Resonance Imaging in Psychiatric Disorders
2007
Canadian journal of psychiatry
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Although the widespread availability of whole-brain voxel-based measurement W La Revue canadienne de psychiatrie, vol 52, no 3, mars 2007 158 Objective: To report on recent advances in both structural ...
(Can J Psychiatry 2007;52:158-166) Information on funding and support and author affiliations appears at the end of the article. ...
Funding and Support ...
doi:10.1177/070674370705200304
pmid:17479523
fatcat:k5p44bpl6vd3bgbqdof3x5xbwu
One pair of hands is not like another: caudate BOLD response in dogs depends on signal source and canine temperament
2014
PeerJ
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A group-level psychophysiological interaction (PPI) connectivity analysis showed increased functional coupling between the caudate and a region of cortex associated with visual discrimination and learning ...
The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. Neuroimage 76(1):Depue R, Collins P. 1999. ...
ACKNOWLEDGEMENTS We are grateful to all of the dogs' owners for the time they have devoted to training: Lorraine Backer (Caylin), Cindy Keen (Jack), Patricia King (Kady), Claire Mancebo ...
doi:10.7717/peerj.596
pmid:25289182
pmcid:PMC4183953
fatcat:ewatfszpxndkvldp4f2rlvhgie
Resting-state glutamate level in the anterior cingulate predicts blood-oxygen level-dependent response to cognitive control
2012
Proceedings of the National Academy of Sciences of the United States of America
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For the post hoc analyses and visualization of the BOLD response, the subjects were evenly split into three groups based on their individual rsGlu concentrations, in a high-(n = 13, rsGlu = 1.82 ± 0.07 ...
The statistical analysis of the fMRI data revealed a significant interaction between attention instruction and IID [P < 0.05, familywise error correction, extent threshold k = 20 voxels]. ...
We thank Roger Barndon, Turid Randa, and Eva Øksnes for their support in data acquisition and Inga Gerdau for her assistance in analysis of the data. ...
doi:10.1073/pnas.1115628109
pmid:22411802
pmcid:PMC3323993
fatcat:eik75dw5vbaihbghzizrlid6ke
The Human Connectome Project's neuroimaging approach
2016
Nature Neuroscience
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Widespread adoption of this paradigm should accelerate progress in understanding the brain in health and disease. ...
, blurring, and temporal artifacts; (4) represent data using the natural geometry of cortical and subcortical structures; (5) accurately align corresponding brain areas across subjects and studies; (6) ...
We thank the other investigators and staff members of the Human Connectome Project consortium for invaluable contributions to data acquisition, analysis, and sharing. ...
doi:10.1038/nn.4361
pmid:27571196
fatcat:wwg4h7gmw5eshc5bc3zsmt6zmy
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