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Bootstrapping GEE models for fMRI regional connectivity

Gina M. D'Angelo, Nicole A. Lazar, Gongfu Zhou, William F. Eddy, John C. Morris, Yvette I. Sheline
2012 NeuroImage  
We apply generalized estimating equation (GEE) models to test for differences in regional correlations across groups.  ...  An Alzheimer's fMRI study has motivated us to evaluate inter-regional correlations during rest between groups.  ...  Yvette Sheline's lab for providing data.  ... 
doi:10.1016/j.neuroimage.2012.08.036 pmid:22906513 pmcid:PMC3491908 fatcat:afup3dfk2bdfpo42k5mpm46mkq

Functional Connectivity-Derived Optimal Gestational-Age Cut Points for Fetal Brain Network Maturity

Josepheen De Asis-Cruz, Scott Douglas Barnett, Jung-Hoon Kim, Catherine Limperopoulos
2021 Brain Sciences  
We computed the small-world index, normalized clustering and path length, global and local efficiency, and modularity from connectivity matrices comprised 200 regions and their corresponding pairwise connectivity  ...  We then used the quasi-likelihood independence criterion statistic to compare model fit between 'old' and 'young' cohorts and determine optimal cut points for each graph metric.  ...  For each approach, to test the robustness of our GEE connectivity models, GA estimates were evaluated using a bootstrap approach with 1000 iterations (sampling rate = 75%) from which 95% CIs were derived  ... 
doi:10.3390/brainsci11070921 fatcat:24qdlijnhfeqrpluzh3o7jrndm

Negative functional coupling between the right fronto-parietal and limbic resting state networks predicts increased self-control and later substance use onset in adolescence

Tae-Ho Lee, Eva H. Telzer
2016 Developmental Cognitive Neuroscience  
Risk-taking behavior Resting-state fMRI Independent component analysis (ICA) Fronto-parietal network (FPN) Limbic network Intrinsic network connectivity a b s t r a c t Recent developmental brain imaging  ...  These findings increase our understanding of the developmental importance of prefrontal-limbic circuitry for adolescent substance use at the resting-state network level.  ...  et al., 2013a Gee et al., ,b, 2014 , the main goal of current study was to investigate the behavioral outcomes of functional connectivity between these two systems using rs-fMRI. rs-fMRI can provide a  ... 
doi:10.1016/j.dcn.2016.06.002 pmid:27344035 pmcid:PMC4975996 fatcat:wcriyvjwwjdn3gv6tmxgutr7m4

Early life stress is associated with default system integrity and emotionality during infancy

Alice M. Graham, Jennifer H. Pfeifer, Philip A. Fisher, Samuel Carpenter, Damien A. Fair
2015 Journal of Child Psychology and Psychiatry and Allied Disciplines  
We used resting state functional connectivity MRI to examine the coordinated functioning of the infant brain (N=23; 6-12-months-of-age) in the context of interparental conflict.  ...  We focused on the default mode network (DMN) due to its well characterized developmental trajectory and implications for mental health.  ...  Acknowledgments Support for this work was provided by the Center for Drug Abuse Prevention in the Child Welfare System (1-P30-DA023920); the Early Experience, Stress, and Neurobehavioral Development Center  ... 
doi:10.1111/jcpp.12409 pmid:25809052 pmcid:PMC4580514 fatcat:fn3w5nv7vjh7levghlesmpo23e

Neural connectivity in Internet gaming disorder and alcohol use disorder: A resting-state EEG coherence study

Su Mi Park, Ji Yoon Lee, Yeon Jin Kim, Jun-Young Lee, Hee Yeon Jung, Bo Kyung Sohn, Dai Jin Kim, Jung-Seok Choi
2017 Scientific Reports  
For this study, 92 adult males were categorized into three groups: IGD (n = 30), AUD (n = 30), and HC (n = 32).  ...  The present study compared neural connectivity and the level of phasic synchronization between neural populations in patients with Internet gaming disorder (IGD), patients with alcohol use disorder (AUD  ...  Acknowledgements The authors would like to thank JA Lim, CR Nam, and AR Choi for helping collect data.  ... 
doi:10.1038/s41598-017-01419-7 pmid:28465521 pmcid:PMC5430990 fatcat:xpbuq5nszneedj7wqhan6c3y4e

Altered ventral striatal–medial prefrontal cortex resting-state connectivity mediates adolescent social problems after early institutional care

Dominic S. Fareri, Laurel Gabard-Durnam, Bonnie Goff, Jessica Flannery, Dylan G. Gee, Daniel S. Lumian, Christina Caldera, Nim Tottenham
2017 Development and Psychopathology  
Early caregiving adversity is associated with increased risk for social difficulties.  ...  Using a seed-based approach, we observed increased positive coupling between the ventral striatum and anterior regions of medial prefrontal cortex (mPFC) in previously institutionalized youth.  ...  fMRI data acquisition All participants were acclimated to the fMRI scanner environment through a mock scanning session.  ... 
doi:10.1017/s0954579417001456 pmid:29162189 pmcid:PMC5957481 fatcat:3lu7asiuingzrfcoidlpfadyeu

Neural network approaches and their reproducibility in the study of verbal working memory and Alzheimer's disease

Christian Habeck, Yaakov Stern
2007 Clinical Neuroscience Research  
Univariate approaches, in contrast, cannot directly address functional connectivity in the brain.  ...  Multivariate approaches evaluate correlation/covariance of activation across brain regions, rather than proceeding on a voxel-by-voxel basis.  ...  The relation between baseline SSF and cognitive decline was evaluated with a generalized equation estimation (GEE) model [32] .  ... 
doi:10.1016/j.cnr.2007.05.004 pmid:18978933 pmcid:PMC2329589 fatcat:bgo5pat2qrgqzdwsjabq2l27ly

Investigating the effects of healthy cognitive aging on brain functional connectivity using 4.7 T resting-state functional Magnetic Resonance Imaging [article]

Stanislau Hrybouski, Ivor Cribben, John McGonigle, Fraser Olsen, Rawle Carter, Peter Seres, Christopher R Madan, Nikolai V Malykhin
2020 bioRxiv   pre-print
Methods: We acquired resting-state fMRI data on a 4.7 T scanner for 105 healthy participants representing the entire adult lifespan (18-85 years of age).  ...  Earlier resting-state fMRI studies revealed an age-associated weakening of intra-system functional connectivity (FC) and age-associated strengthening of inter-system FC.  ...  During this refined estimation of model selection uncertainty, 500 bootstrap samples were taken, and the model with the smallest sum of absolute error terms was chosen as the best model for each bootstrap  ... 
doi:10.1101/2020.11.29.402750 fatcat:h6maka5fnbcwrjt3qgydnwpp6y

Using real-time fMRI to influence effective connectivity in the developing emotion regulation network

Kathrin Cohen Kadosh, Qiang Luo, Calem de Burca, Moses O. Sokunbi, Jianfeng Feng, David E.J. Linden, Jennifer Y.F. Lau
2016 NeuroImage  
Here, we used NF to teach a group of 17 7-16 year-olds to up-regulate the bilateral insula, a key ER region.  ...  Recent research has highlighted the suitability of real-time fMRI-based neurofeedback (NF) in training emotion regulation (ER) networks in adults.  ...  The authors would like to thank Sita Deeg for help with participant recruitment and testing, and Niklas Ihssen and Isabel Habes for help with setting up the neurofeedback experiment.  ... 
doi:10.1016/j.neuroimage.2015.09.070 pmid:26475487 pmcid:PMC4692450 fatcat:lkksvrf4o5hsheyyujxqzotld4

Disrupted amygdala-prefrontal connectivity during emotion regulation links stress-reactive rumination and adolescent depressive symptoms

Carina H. Fowler, Michelle E. Miernicki, Karen D. Rudolph, Eva H. Telzer
2017 Developmental Cognitive Neuroscience  
The present work attempted to bridge this gap through an fMRI study of 41 adolescent girls (M age = 15.42, SD = 0.33) -a population in whom elevated levels of depressive symptoms, rumination, and social  ...  However, no work to date has examined the neural mechanisms connecting stressreactive rumination and adolescent depressive symptoms.  ...  We are grateful for the assistance of the Biomedical Imaging Center at the University of Illinois.  ... 
doi:10.1016/j.dcn.2017.09.002 pmid:28946039 pmcid:PMC5626656 fatcat:duwcy2wznngtnaqjnqsxp7g4nu

Fornix Microstructure and Memory Performance Is Associated with Altered Neural Connectivity during Episodic Recognition

Martina Ly, Nagesh Adluru, Daniel J. Destiche, Sharon Y. Lu, Jennifer M. Oh, Siobhan M. Hoscheidt, Andrew L. Alexander, Ozioma C. Okonkwo, Howard A. Rowley, Mark A. Sager, Sterling C. Johnson, Barbara B. Bendlin
2016 Journal of the International Neuropsychological Society  
whether fractional anisotropy (FA) within white matter regions known to decline with age was associated with task-related connectivity within the recognition network.Results:There was a positive relationship  ...  The results of the psychophysiological interaction analysis further revealed that alterations in fornix microstructure explain–at least in part–connectivity among cortical regions in the recognition memory  ...  Above all, we thank our dedicated volunteers for their participation in this research. Ly, Adluru, Destiche, Lu, Oh, Hoscheidt, Okonkwo, Sager, Johnson, and Bendlin report no conflicts of interest.  ... 
doi:10.1017/s1355617715001216 pmid:26888616 pmcid:PMC4762064 fatcat:io5r4h7wlrdgbfu4k7ongl4bwq

Co-ordinated structural and functional covariance in the adolescent brain underlies face processing performance

Daniel Joel Shaw, Radek Mareček, Marie-Helene Grosbras, Gabriel Leonard, G. Bruce Pike, Tomáš Paus
2016 Social Cognitive and Affective Neuroscience  
By combining measures of task-related functional connectivity and brain morphology, we reveal that both the structural covariance and functional connectivity among 'distal' nodes of the face-processing  ...  Finally, we demonstrate that increased functional connectivity is associated with age-related improvements of faceprocessing performance, particularly in females.  ...  We are grateful to the participating families for their long-term commitment and interest in this work.  ... 
doi:10.1093/scan/nsv138 pmid:26772669 pmcid:PMC4814784 fatcat:7ts5misodvhuhkurlqr3zn3shm

Shifting prosocial intuitions: Neurocognitive evidence for a value-based account of group-based cooperation

Leor M Hackel, Julian A Wills, Jay J Van Bavel
2020 Social Cognitive and Affective Neuroscience  
Value-based decision models contend that prosocial tendencies and social context shape people's preferences for cooperative or selfish behavior.  ...  Using functional neuroimaging and computational modeling, we tested these predictions by comparing activity in brain regions previously linked to valuation and executive function during decision-making—the  ...  Otherwise, bootstrap confidence intervals were computed with 10,000 simulations. fMRI data acquisition.  ... 
doi:10.1093/scan/nsaa055 pmid:32337604 pmcid:PMC7308656 fatcat:6c7iqcgotvgqxlezjmwsmftn7u

Atypical Prefrontal–Amygdala Circuitry Following Childhood Exposure to Abuse: Links With Adolescent Psychopathology

Matthew Peverill, Margaret A. Sheridan, Daniel S. Busso, Katie A. McLaughlin
2019 Child Maltreatment  
Greater negative functional connectivity between vmPFC and amygdala occurred during viewing of negative compared to neutral images.  ...  This pattern of more negative functional connectivity was associated with higher levels of externalizing psychopathology concurrently and 2 years later.  ...  (B) Regions of interest generated for mOFC and sgACC based on connectivity to left amygdala. (C) Regions of interest based on connectivity to right amygdala.  ... 
doi:10.1177/1077559519852676 pmid:31146576 pmcid:PMC6813859 fatcat:xxeqbdgjzjdb5d464htzwgkulm

Life-Span Development of Brain Network Integration Assessed with Phase Lag Index Connectivity and Minimum Spanning Tree Graphs

Dirk J.A. Smit, Eco J.C. de Geus, Maria Boersma, Dorret I. Boomsma, Cornelis J. Stam
2016 Brain Connectivity  
We confirm that brain network connectivity shows quantitative changes across the life span and additionally demonstrate parallel qualitative changes in the connectivity pattern.  ...  Connectivity was assessed using phase lag index to reduce effects of volume conduction.  ...  The omnibus test GEE model predicting average connectivity with age group as factor controlling for sex was highly FIG. 1.  ... 
doi:10.1089/brain.2015.0359 pmid:26885699 fatcat:v7mbyahi6zebnbm4dhhrs7pki4
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