Partial correlation mapping of brain functional connectivity with resting state fMRI

2007 ◽  
Author(s):  
Zonglei Zhen ◽  
Jie Tian ◽  
Wei Qin ◽  
Hui Zhang
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Partial Correlation ◽  
Resting State Fmri ◽  
Brain Functional Connectivity

scholarly journals Aberrant Brain Functional Connectivity Related to Insulin Resistance in Type 2 Diabetes: A Resting-State fMRI Study

Diabetes Care ◽  
2014 ◽  
Vol 37 (6) ◽  
pp. 1689-1696 ◽  
Author(s):  
Yu-Chen Chen ◽  
Yun Jiao ◽  
Ying Cui ◽  
Song-An Shang ◽  
Jie Ding ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Functional Connectivity ◽  
Resting State ◽  
Resting State Fmri ◽  
Fmri Study ◽  
Brain Functional Connectivity

scholarly journals ALTERED BRAIN FUNCTIONAL CONNECTIVITY FOLLOWING A SEASON OF COMPETITIVE FEMALE HIGH SCHOOL SOCCER AND THE EFFECT OF A JUGULAR VEIN COMPRESSION COLLAR: A NETWORK-BASED STATISTICS ANALYSIS

2020 ◽  
Vol 8 (4_suppl3) ◽  
pp. 2325967120S0026
Author(s):  
Jonathan A. Dudley ◽  
Jed A. Diekfuss ◽  
Weihong Yuan ◽  
Kim D. Barber Foss ◽  
Christopher A. DiCesare ◽  
...  
Keyword(s):  
High School ◽  
Functional Connectivity ◽  
Resting State ◽  
Female Athletes ◽  
Jugular Vein ◽  
Resting State Fmri ◽  
Head Impacts ◽  
Brain Functional Network ◽  
Female High School ◽  
Brain Functional Connectivity

Background: Cumulative exposure to repetitive sub-concussive head impacts in contact sports may have deleterious effects on brain function, even in the absence of acute symptoms. Moreover, anatomical and biomechanical factors may predispose female athletes to higher risk compared to males. At present, there is no effective injury prevention strategy to protect female athletes from sports-related head impact. Hypothesis/Purpose: (1). We aimed to use resting-state fMRI to investigate the effect of a full season of competitive soccer on brain functional network integrity in female high school athletes. (2). We also aimed to evaluate the efficacy of a jugular vein compression neck collar device, designed to mitigate potential injury by reducing the brain slosh effect. Methods: A total of 125 high school female soccer athletes were included in this study. These athletes were assigned randomly to a non-collar (n=55, age=16.06±1.06 yrs) or collar group (n=70, 15.81±0.95 yrs) before the season started. High resolution 3D T1-weighted images and resting-state fMRI data were collected prospectively at pre-season and again at post-season. Data processing and analysis were conducted in the MATLAB-based programs Statistical Parametric Mapping (SPM12) and Connectivity Toolbox (Conn). Functional connectivity was computed between each pair of 105 anatomically delineated regions of interest (ROI). Network Based Statistics were applied to detect coherent patterns of altered connectivity from pre- to post-season. Results: The non-collar group showed a significant pattern of altered connectivity (p-FWE = 0.047) spanning 60% of ROIs (63/105) and 1.7% of ROI-ROI connections (94/5,460). 65 of the 94 altered connections were weakened from pre-to-post season and tended to occur in the right hemisphere. 29 of the 94 altered connections were strengthened from pre-to-post season and tended to involve regions in the occipital lobe. The collar group did not show any statistically significant change (p-FWE = 0.223). Conclusion: The results of this study indicate that exposure to repetitive sub-concussive head impacts during a single season of competitive female soccer induces changes in brain functional connectivity. The observed increases and decreases of functional connectivity strength comprising the pattern of altered connectivity are congruent with a heterogeneous response to insult wherein some connections are reduced in strength due to neuronal damage and other “detour” connections are strengthened to preserve network function. Comparatively, the absence of alterations in the collar group suggest that the jugular vein compression collar may have generated a potentially protective effect to preserve brain functional network integrity during exposure to head impacts. [Figure: see text]

Changes in brain functional connectivity patterns are driven by an individual lesion in MS: a resting-state fMRI study

2015 ◽  
Vol 10 (4) ◽  
pp. 1117-1126 ◽  
Author(s):  
Amgad Droby ◽  
Kenneth S. L. Yuen ◽  
Muthuraman Muthuraman ◽  
Sarah-Christina Reitz ◽  
Vinzenz Fleischer ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Resting State Fmri ◽  
Fmri Study ◽  
Connectivity Patterns ◽  
Brain Functional Connectivity

scholarly journals Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data

2020 ◽  
Author(s):  
Arun S. Mahadevan ◽  
Ursula A. Tooley ◽  
Maxwell A. Bertolero ◽  
Allyson P. Mackey ◽  
Danielle S. Bassett
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Partial Correlation ◽  
Motion Artifact ◽  
Resting State Fmri ◽  
Alternative Methods ◽  
Fmri Data ◽  
Retest Reliability ◽  
Human Connectome Project ◽  
Test Retest Reliability

AbstractFunctional connectivity (FC) networks are typically inferred from resting-state fMRI data using the Pearson correlation between BOLD time series from pairs of brain regions. However, alternative methods of estimating functional connectivity have not been systematically tested for their sensitivity or robustness to head motion artifact. Here, we evaluate the sensitivity of six different functional connectivity measures to motion artifact using resting-state data from the Human Connectome Project. We report that FC estimated using full correlation has a relatively high residual distance-dependent relationship with motion compared to partial correlation, coherence and information theory-based measures, even after implementing rigorous methods for motion artifact mitigation. This disadvantage of full correlation, however, may be offset by higher test-retest reliability and system identifiability. FC estimated by partial correlation offers the best of both worlds, with low sensitivity to motion artifact and intermediate system identifiability, with the caveat of low test-retest reliability. We highlight spatial differences in the sub-networks affected by motion with different FC metrics. Further, we report that intra-network edges in the default mode and retrosplenial temporal sub-networks are highly correlated with motion in all FC methods. Our findings indicate that the method of estimating functional connectivity is an important consideration in resting-state fMRI studies and must be chosen carefully based on the parameters of the study.

scholarly journals Additive and interaction effects of working memory and motor sequence training on brain functional connectivity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Priska Zuber ◽  
Laura Gaetano ◽  
Alessandra Griffa ◽  
Manuel Huerbin ◽  
Ludovico Pedullà ◽  
...  
Keyword(s):  
Working Memory ◽  
Functional Connectivity ◽  
Processing Speed ◽  
Resting State ◽  
Resting State Fmri ◽  
Interactive Effects ◽  
Angular Gyrus ◽  
Precentral Gyrus ◽  
Motor Sequence ◽  
Brain Functional Connectivity

AbstractAlthough shared behavioral and neural mechanisms between working memory (WM) and motor sequence learning (MSL) have been suggested, the additive and interactive effects of training have not been studied. This study aimed at investigating changes in brain functional connectivity (FC) induced by sequential (WM + MSL and MSL + WM) and combined (WM × MSL) training programs. 54 healthy subjects (27 women; mean age: 30.2 ± 8.6 years) allocated to three training groups underwent twenty-four 40-min training sessions over 6 weeks and four cognitive assessments including functional MRI. A double-baseline approach was applied to account for practice effects. Test performances were compared using linear mixed-effects models and t-tests. Resting state fMRI data were analysed using FSL. Processing speed, verbal WM and manual dexterity increased following training in all groups. MSL + WM training led to additive effects in processing speed and verbal WM. Increased FC was found after training in a network including the right angular gyrus, left superior temporal sulcus, right superior parietal gyrus, bilateral middle temporal gyri and left precentral gyrus. No difference in FC was found between double baselines. Results indicate distinct patterns of resting state FC modulation related to sequential and combined WM and MSL training suggesting a relevance of the order of training performance. These observations could provide new insight for the planning of effective training/rehabilitation.

Fine-grained mapping of mouse brain functional connectivity with resting-state fMRI

NeuroImage ◽  
2014 ◽  
Vol 96 ◽  
pp. 203-215 ◽  
Author(s):  
Anna E. Mechling ◽  
Neele S. Hübner ◽  
Hsu-Lei Lee ◽  
Jürgen Hennig ◽  
Dominik von Elverfeldt ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Mouse Brain ◽  
Resting State ◽  
Resting State Fmri ◽  
Fine Grained ◽  
Brain Functional Connectivity

Brain Functional Connectivity in OCD

2017 ◽  
Author(s):  
Carles Soriano-Mas ◽  
Ben J. Harrison
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Large Scale ◽  
Resting State Fmri ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Regulatory Systems ◽  
Variable Nature ◽  
Brain Functional Connectivity ◽  
Or Task

This chapter provides an overview of studies assessing alterations in brain functional connectivity in obsessive-compulsive disorder (OCD) as assessed by functional magnetic resonance imaging (fMRI). Although most of the reviewed studies relate to the analysis of resting-state fMRI data, the chapter also reviews studies that have combined resting-state with structural or task-based approaches, as well as task-based studies in which the analysis of functional connectivity was reported. The main conclusions to be drawn from this review are that patients with OCD consistently demonstrate altered patterns of brain functional connectivity in large-scale “frontostriatal” and “default mode” networks, and that the heterogeneity of OCD symptoms is likely to partly arise via distinct modulatory influences on these networks by broader disturbances of affective, motivational, and regulatory systems. The variable nature of some findings across studies as well as the influence of medications on functional connectivity measures is also discussed.

Depletion of brain functional connectivity enhancement leads to disability progression in multiple sclerosis: A longitudinal resting-state fMRI study

2016 ◽  
Vol 22 (13) ◽  
pp. 1695-1708 ◽  
Author(s):  
Anthony Faivre ◽  
Emmanuelle Robinet ◽  
Maxime Guye ◽  
Celia Rousseau ◽  
Adil Maarouf ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Functional Connectivity ◽  
Long Range ◽  
Resting State ◽  
Short Range ◽  
Resting State Fmri ◽  
Disability Progression ◽  
Fmri Study ◽  
Brain Functional Connectivity

Background: The compensatory effect of brain functional connectivity enhancement in relapsing-remitting multiple sclerosis (RRMS) remains controversial. Objective: To characterize the relationships between brain functional connectivity changes and disability progression in RRMS. Methods: Long-range connectivity, short-range connectivity, and density of connections were assessed using graph theoretical analysis of resting-state functional magnetic resonance imaging (fMRI) data acquired in 38 RRMS patients (disease duration: 120 ± 32 months) and 24 controls. All subjects were explored at baseline and all patients and six controls 2 years later. Results: At baseline, levels of long-range and short-range brain functional connectivity were higher in patients compared to controls. During the follow-up, decrease in connections’ density was inversely correlated with disability progression. Post-hoc analysis evidenced differential evolution of brain functional connectivity metrics in patients according to their level of disability at baseline: while patients with lowest disability at baseline experienced an increase in all connectivity metrics during the follow-up, patients with higher disability at baseline showed a decrease in the connectivity metrics. In these patients, decrease in the connectivity metrics was associated with disability progression. Conclusion: The study provides two main findings: (1) brain functional connectivity enhancement decreases during the disease course after reaching a maximal level, and (2) decrease in brain functional connectivity enhancement participates in disability progression.

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