scholarly journals The individual functional connectome is unique and stable over months to years

2017 ◽  
Author(s):  
Corey Horien ◽  
Xilin Shen ◽  
Dustin Scheinost ◽  
R. Todd Constable
Keyword(s):  
Individual Differences ◽  
Functional Connectivity ◽  
Resting State ◽  
Resting State Fmri ◽  
List Type ◽  
Functional Connectome ◽  
Wide Range ◽  
The Individual ◽  
Brain Functional Connectivity ◽  
Parietal Cortices

AbstractFunctional connectomes computed from fMRI provide a means to characterize individual differences in the patterns of BOLD synchronization across regions of the entire brain. Using four resting-state fMRI datasets with a wide range of ages, we show that individual differences of the functional connectome are stable across three months to three years. Medial frontal and frontoparietal networks appear to be both unique and stable, resulting in high ID rates, as did a combination of these two networks. We conduct analyses demonstrating that these results are not driven by head motion. We also show that the edges demonstrating the most individualized features tend to connect nodes in the frontal and parietal cortices, while edges contributing the least tend to connect cross-hemispheric homologs. Our results demonstrate that the functional connectome is stable across years and is not an idiosyncratic aspect of a specific dataset, but rather reflects stable individual differences in the functional connectivity of the brain.Research highlightsWhole-brain functional connectivity profiles obtained from four resting-state fMRI datasets are unique and stable across 3 months-3 years in adolescents, young adults, and older adultsMedial frontal and frontoparietal networks tended to be both unique and stableIndividual edges in the frontal and parietal cortices tended to be most discriminative of individual subjects

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 Impact of anaesthesia on static and dynamic functional connectivity in mice

2021 ◽  
Author(s):  
Tomokazu Tsurugizawa ◽  
Daisuke Yoshimaru
Keyword(s):  
Functional Connectivity ◽  
Functional Mri ◽  
Resting State ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Brain Network ◽  
List Type ◽  
Thalamic Nuclei ◽  
Dynamic Functional Connectivity ◽  
Subcortical Regions

AbstractA few studies have compared the static functional connectivity between awake and anaesthetized states in rodents by resting-state fMRI. However, impact of anaesthesia on static and dynamic fluctuations in functional connectivity has not been fully understood. Here, we developed a resting-state fMRI protocol to perform awake and anaesthetized functional MRI in the same mice. Static functional connectivity showed a widespread decrease under anaesthesia, such as when under isoflurane or a mixture of isoflurane and medetomidine. Several interhemispheric connections were key connections for anaesthetized condition from awake. Dynamic functional connectivity demonstrates the shift from frequent broad connections across the cortex, the hypothalamus, and the auditory-visual cortex to frequent local connections within the cortex only. Fractional amplitude of low frequency fluctuation in the thalamic nuclei decreased under both anaesthesia. These results indicate that typical anaesthetics for functional MRI alters the spatiotemporal profile of the dynamic brain network in subcortical regions, including the thalamic nuclei and limbic system.HighlightsResting-state fMRI was compared between awake and anaesthetized in the same mice.Anaesthesia induced a widespread decrease of static functional connectivity.Anaesthesia strengthened local connections within the cortex.fALFF in the thalamus was decreased by anaesthesia.

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.

scholarly journals Stability and similarity of the pediatric connectome as developmental measures

2019 ◽  
Author(s):  
Tamara Vanderwal ◽  
Jeffrey Eilbott ◽  
Clare Kelly ◽  
Simon R. Frew ◽  
Todd S. Woodward ◽  
...  
Keyword(s):  
Social Skills ◽  
Functional Connectivity ◽  
Principal Component ◽  
List Type ◽  
Individual Subject ◽  
Whole Brain ◽  
Functional Connectome ◽  
Brain Connectome ◽  
The Social ◽  
The Individual

AbstractPatterns of functional connectivity are unique at the individual level, enabling test-retest matching algorithms to identify a subject from among a group using only their functional connectome. Recent findings show that accuracies of these algorithms in children increase with age. Relatedly, the persistence of functional connectivity (FC) patterns across tasks and rest also increases with age. This study investigated the hypothesis that within-subject stability and between-subject similarity of the whole-brain pediatric connectome are developmentally relevant outcomes. Using data from 210 help-seeking children and adolescents, ages 6-21 years (Healthy Brain Network Biobank), we computed whole-brain FC matrices for each participant during two different movies (MovieDM and MovieTP) and two runs of task-free rest (all from a single scan session) and fed these matrices to a test-retest matching algorithm. We replicated the finding that matching accuracies for children and youth (ages 6-21 years) are low (18-44%), and that cross-state and cross-movie accuracies were the lowest. Results also showed that parcellation resolution and the number of volumes used in each matrix affect fingerprinting accuracies. Next, we calculated three measures of whole-connectome stability for each subject: cross-rest (Rest1-Rest2), crossstate (MovieDM-Rest1), and cross-movie (MovieDM-MovieTP), and three measures of within-state between-subject connectome similarity for Rest1, MovieDM, and MovieTP. We show that stability and similarity were correlated, but that these measures were not related to age. A principal component analysis of these measures yielded two components that we used to test for brain-behavior correlations with IQ, general psychopathology, and social skills measures (n=119). The first component was significantly correlated with the social skills measure (r=-0.26, p=0.005). Post hoc correlations showed that the social skills measure correlated with both cross-rest stability (r=-0.29, p=0.001) and with connectome similarity during MovieDM (r=-0.28, p=0.002). These findings suggest that the stability and similarity of the whole-brain connectome relate to overall brain development, and in particular, to those regions that support social skills. We infer that the development of the functional connectome simultaneously achieves patterns of FC that are distinct at the individual subject level, that are shared across individuals, and that are persistent across states and across runs—features which presumably combine to optimize neural processing during development. Future longitudinal work could reveal the developmental trajectories of stability and similarity of the connectome.Highlights- Identification algorithms yielded low accuracies in this developmental sample.- Individual differences in FC were not as persistent across states or movies.- Connectome within-subject stability and between-subject similarity were interrelated.- Stability during rest and similarity during a movie correlate with social skills scores.

scholarly journals Functional connectome of brainstem nuclei involved in autonomic, limbic, pain and sensory processing in living humans from 7 Tesla resting state fMRI

2021 ◽  
Author(s):  
Simone Cauzzo ◽  
KAVITA SINGH ◽  
Matthew Matthew Stauder ◽  
Maria Guadalupe Garcia-Gomar ◽  
Nicola Vanello ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Resting State Fmri ◽  
Sensory Function ◽  
3 Tesla ◽  
7 Tesla ◽  
Reticular Nucleus ◽  
Isotropic Resolution ◽  
Functional Connectome ◽  
Brainstem Nuclei

Despite remarkable advances in mapping the functional connectivity of the cortex, the functional connectivity of subcortical regions is understudied in living humans. This is the case for brainstem nuclei that control vital processes, such as autonomic, limbic, nociceptive and sensory functions. This is because of the lack of precise brainstem nuclei localization, of adequate sensitivity and resolution in the deepest brain regions, as well as of optimized processing for the brainstem. To close the gap between the cortex and the brainstem, on 20 healthy subjects, we computed a correlation based functional connectome of 15 brainstem nuclei involved in autonomic, limbic, nociceptive, and sensory function (superior and inferior colliculi, ventral tegmental area parabrachial pigmented nucleus complex, microcellular tegmental nucleus prabigeminal nucleus complex, lateral and medial parabrachial nuclei, vestibular and superior olivary complex, superior and inferior medullary reticular formation, viscerosensory motor nucleus, raphe magnus, pallidus, and obscurus, and parvicellular reticular nucleus alpha part) with the rest of the brain. Specifically, we exploited 1.1mm isotropic resolution 7 Tesla resting state fMRI, ad hoc coregistration and physiological noise correction strategies, and a recently developed probabilistic template of brainstem nuclei. Further, we used 2.5mm isotropic resolution resting state fMRI data acquired on a 3 Tesla scanner to assess the translatability of our results to conventional datasets. We report highly consistent correlation coefficients across subjects, confirming available literature on autonomic, limbic, nociceptive and sensory pathways, as well as high interconnectivity within the central autonomic network and the vestibular network. Interestingly, our results showed evidence of vestibulo autonomic interactions in line with previous work. Comparison of 7 Tesla and 3 Tesla findings showed high translatability of results to conventional settings for brainstem cortical connectivity and good yet weaker translatability for brainstem brainstem connectivity. The brainstem functional connectome might bring new insight in the understanding of autonomic, limbic, nociceptive and sensory function in health and disease.

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