scholarly journals Functional Connectivity Lateralisation Shift of Resting State Networks is Linked to Visuospatial Memory and White Matter Microstructure in Relapsing–Remitting Multiple Sclerosis

2021 ◽  
Author(s):  
Dániel Veréb ◽  
Márton Attila Kovács ◽  
Krisztián Kocsis ◽  
Eszter Tóth ◽  
Bence Bozsik ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Functional Connectivity ◽  
Default Mode Network ◽  
Resting State ◽  
Angular Gyrus ◽  
Resting State Networks ◽  
Functional Laterality ◽  
Dorsal Attention Network ◽  
Relapsing Remitting

AbstractLaterality patterns of resting state networks (RSN) change in various neuropsychiatric conditions. Multiple sclerosis (MS) causes neuro-cognitive symptoms involving dysfunctional large-scale brain networks. Yet, whether healthy laterality patterns of RSNs are maintained in MS and whether altered laterality patterns explain disease symptoms has not been explicitly investigated. We analysed functional MRI and diffusion tensor imaging data from 24 relapsing–remitting MS patients and 25 healthy participants. We performed group-level independent component analysis and used dual regression to estimate individual versions of well-established RSNs. Voxelwise laterality indices were calculated for each RSN. Group differences were assessed via a general linear model-based approach. The relationship between functional laterality and white matter microstructural asymmetry was assessed using Tract-Based Spatial Statistics. Spearman’s correlation was calculated between laterality indices and Brief International Cognitive Assessment for Multiple Sclerosis scores. Functional laterality of the dorsal attention network showed a significant leftward shift in the MS group in the posterior intraparietal sulcus (p < 0.033). Default-mode network laterality showed a significant leftward shift in the MS group in the angular gyrus (p < 0.005). Diminished dorsal attention network laterality was associated with increased fractional anisotropy asymmetry in the superior longitudinal fasciculus (p < 0.02). In the default-mode network, leftward laterality of the angular gyrus was associated with higher BVMT-R scores (R = − 0.52, p < 0.023). Our results confirm previous descriptions of RSN dysfunction in relapsing–remitting MS and show that altered functional connectivity lateralisation patterns of RSNs might contibute to cognitive performance and structural remodellation even in patients with mild clinical symptoms.

Altered functional connectivity and performance variability in relapsing–remitting multiple sclerosis

2014 ◽  
Vol 20 (11) ◽  
pp. 1453-1463 ◽  
Author(s):  
Magdalena Wojtowicz ◽  
Erin L Mazerolle ◽  
Virender Bhan ◽  
John D Fisk
Keyword(s):  
Multiple Sclerosis ◽  
Information Processing ◽  
Functional Connectivity ◽  
Processing Speed ◽  
Resting State ◽  
Healthy Controls ◽  
Information Processing Speed ◽  
Frontal Pole ◽  
Performance Variability ◽  
Relapsing Remitting

Background: Patients with multiple sclerosis (MS) demonstrate slower and more variable performance on attention and information processing speed tasks. Greater variability in cognitive task performance has been shown to be an important predictor of neurologic status and provides a unique measure of cognitive performance in MS patients. Objectives: This study investigated alterations in resting-state functional connectivity associated with within-person performance variability in MS patients. Methods: Relapsing–remitting MS patients and matched healthy controls completed structural MRI and resting-state fMRI (rsfMRI) scans, as well as tests of information processing speed. Performance variability was calculated from reaction time tests of processing speed. rsfMRI connectivity was investigated within regions associated with the default mode network (DMN). Relations between performance variability and functional connectivity in the DMN within MS patients were evaluated. Results: MS patients demonstrated greater reaction time performance variability compared to healthy controls ( p<0.05). For MS patients, more stable performance on a complex processing speed task was associated with greater resting-state connectivity between the ventral medial prefrontal cortex and the frontal pole. Conclusions: Among MS patients, greater functional connectivity between medial prefrontal and frontal pole regions appears to facilitate performance stability on complex speed-dependent information processing tasks.

scholarly journals Hypo- and hyper-connectivity in default mode network related to social impairment in tweens with autism spectrum disorder

2016 ◽  
Author(s):  
Wilma Matthysen ◽  
Daniele Marinazzo ◽  
Roma Siugzdaite
Keyword(s):  
Autism Spectrum Disorder ◽  
Functional Connectivity ◽  
Default Mode Network ◽  
Social Communication ◽  
Resting State ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Connectivity Pattern ◽  
Resting State Networks ◽  
Default Mode

Background. Autism spectrum disorder is a neurodevelopmental disorder, marked by impairment in social communication and restricted, repetitive patterns of behavior, interests, or activities. Accumulating data suggests that alterations in functional connectivity might contribute to these deficits. Whereas functional connectivity in resting state fMRI is expressed by several resting-state networks, for this study we examined several of them, but our particular interest was in the default mode network (DMN), given its age dependent alteration of functional connectivity and its relation to social communication. Methods. Since the studies investigating young children (6-8 years) with autism have found hypo-connectivity in DMN and studies on adolescents (12-16 years old) with autism have found hyper-connectivity in the DMN, we were interested in connectivity pattern during the age of 8 to 12, so we investigated the role of altered intrinsic connectivity in 16 children (mean age 9.75 ±1.6 years) with autism spectrum disorder compared to 16 typically developing controls in the DMN and other resting-state networks. Results. Results show that, compared to controls, the group with autism spectrum disorder showed signs of both hypo- and hyper-connectivity in different regions of the resting-state networks related to social communication. Conclusion. That suggests that transition period from childhood to adolescence carries the complexity of functional connectivity from both age groups. Regions that showed differences in functional connectivity were discussed in relation to social communication difficulties.

Examining resting-state functional connectivity in key hubs of the default mode network in chronic low back pain

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sin Ki Ng ◽  
Donna M. Urquhart ◽  
Paul B. Fitzgerald ◽  
Flavia M. Cicuttini ◽  
Melissa Kirkovski ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Functional Connectivity ◽  
Default Mode Network ◽  
Chronic Low Back Pain ◽  
Resting State ◽  
Angular Gyrus ◽  
Healthy Controls ◽  
Low Back ◽  
Default Mode

Abstract Objectives Changes in brain connectivity have been observed within the default mode network (DMN) in chronic low back pain (CLBP), however the extent of these disruptions and how they may be related to CLBP requires further examination. While studies using seed-based analysis have found disrupted functional connectivity in the medial prefrontal cortex (mPFC), a major hub of the DMN, limited studies have investigated other equally important hubs, such as the posterior cingulate cortex (PCC) in CLBP. Methods This preliminary study comprised 12 individuals with CLBP and 12 healthy controls who completed a resting-state functional magnetic resonance imaging (fMRI) scan. The mPFC and PCC were used as seeds to assess functional connectivity. Results Both groups displayed similar patterns of DMN connectivity, however group comparisons showed that CLBP group had reduced connectivity between the PCC and angular gyrus compared to healthy controls. An exploratory analysis examined whether the alterations observed in mPFC and PCC connectivity were related to pain catastrophizing in CLBP, but no significant associations were observed. Conclusions These results may suggest alterations in the PCC are apparent in CLBP, however, the impact and functional role of these disruptions require further investigation.

scholarly journals Meditation-State Functional Connectivity (msFC): Strengthening of the Dorsal Attention Network and Beyond

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Brett Froeliger ◽  
Eric L. Garland ◽  
Rachel V. Kozink ◽  
Leslie A. Modlin ◽  
Nan-Kuei Chen ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Control Group ◽  
Meditation Practice ◽  
Regression Analyses ◽  
Resting State Networks ◽  
Resting State Functional Connectivity ◽  
Attention Network ◽  
Dorsal Attention Network ◽  
Meditation Experience

Meditation practice alters intrinsic resting-state functional connectivity (rsFC) in the default mode network (DMN). However, little is known regarding the effects of meditation on other resting-state networks. The aim of current study was to investigate the effects of meditation experience and meditation-state functional connectivity (msFC) on multiple resting-state networks (RSNs). Meditation practitioners (MPs) performed two 5-minute scans, one during rest, one while meditating. A meditation naïve control group (CG) underwent one resting-state scan. Exploratory regression analyses of the relations between years of meditation practice and rsFC and msFC were conducted. During resting-state, MP as compared to CG exhibited greater rsFC within the Dorsal Attention Network (DAN). Among MP, meditation, as compared to rest, strengthened FC between the DAN and DMN and Salience network whereas it decreased FC between the DAN, dorsal medial PFC, and insula. Regression analyses revealed positive correlations between the number of years of meditation experience and msFC between DAN, thalamus, and anterior parietal sulcus, whereas negative correlations between DAN, lateral and superior parietal, and insula. These findings suggest that the practice of meditation strengthens FC within the DAN as well as strengthens the coupling between distributed networks that are involved in attention, self-referential processes, and affective response.

scholarly journals Re-Establishing Brain Networks in Patients with ESRD after Successful Kidney Transplantation

2017 ◽  
Vol 13 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Hui Juan Chen ◽  
Jiqiu Wen ◽  
Rongfeng Qi ◽  
Jianhui Zhong ◽  
U. Joseph Schoepf ◽  
...  
Keyword(s):  
Kidney Transplantation ◽  
Functional Connectivity ◽  
Default Mode Network ◽  
Resting State ◽  
Central Executive ◽  
Attention Network ◽  
Default Mode ◽  
Sensorimotor Network ◽  
Dorsal Attention Network ◽  
Visual Network

Background and objectivesCognition in ESRD may be improved by kidney transplantation, but mechanisms are unclear. We explored patterns of resting-state networks with resting-state functional magnetic resonance imaging among patients with ESRD before and after kidney transplantation.Design, setting, participants, & measurementsThirty-seven patients with ESRD scheduled for kidney transplantation and 22 age-, sex-, and education-matched healthy subjects underwent resting-state functional magnetic resonance imaging. Patients were imaged before and 1 and 6 months after kidney transplantation. Functional connectivity of seven resting-state subnetworks was evaluated: default mode network, dorsal attention network, central executive network, self-referential network, sensorimotor network, visual network, and auditory network. Mixed effects models tested associations of ESRD, kidney transplantation, and neuropsychological measurements with functional connectivity.ResultsCompared with controls, pretransplant patients showed abnormal functional connectivity in six subnetworks. Compared with pretransplant patients, increased functional connectivity was observed in the default mode network, the dorsal attention network, the central executive network, the sensorimotor network, the auditory network, and the visual network 1 and 6 months after kidney transplantation (P=0.01). Six months after kidney transplantation, no significant difference in functional connectivity was observed for the dorsal attention network, the central executive network, the auditory network, or the visual network between patients and controls. Default mode network and sensorimotor network remained significantly different from those in controls when assessed 6 months after kidney transplantation. A relationship between functional connectivity and neuropsychological measurements was found in specific brain regions of some brain networks.ConclusionsThe recovery patterns of resting-state subnetworks vary after kidney transplantation. The dorsal attention network, the central executive network, the auditory network, and the visual network recovered to normal levels, whereas the default mode network and the sensorimotor network did not recover completely 6 months after kidney transplantation. Neural resting-state functional connectivity was lower among patients with ESRD compared with control subjects, but it significantly improved with kidney transplantation. Resting-state subnetworks exhibited variable recovery, in some cases to levels that were no longer significantly different from those of normal controls.

scholarly journals Erratum

2016 ◽  
Vol 22 (12) ◽  
pp. NP12-NP12
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Functional Connectivity ◽  
White Matter Integrity ◽  
Relapsing Remitting ◽  
John Radcliffe Hospital ◽  
Remitting Multiple Sclerosis ◽  
University Of Rome ◽  
Relapsing Remitting Multiple Sclerosis

Sbardella E, Tona F, Petsas N, et al. Functional connectivity changes and their relationship with clinical disability and white matter integrity in patients with relapsing–remitting multiple sclerosis. Multiple Sclerosis Journal 2015; 21(13): 1681–1692. DOI: 10.1177/1352458514568826 The above article that appeared in the November 2015 issue of Multiple Sclerosis Journal contained incorrect affiliations for two of the authors. The correct affiliation for Patrizia Pantano is Department of Neurology and Psychiatry, University of Rome, Italy / IRCSS Neuromed, Italy. The correct affiliation for Nicola Filippini is FMRIB Centre, John Radcliffe Hospital, UK.

scholarly journals Resting-state Modulation of Alpha Rhythms by Interference with Angular Gyrus Activity

2014 ◽  
Vol 26 (1) ◽  
pp. 107-119 ◽  
Author(s):  
Paolo Capotosto ◽  
Claudio Babiloni ◽  
Gian Luca Romani ◽  
Maurizio Corbetta
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Low Frequency ◽  
Angular Gyrus ◽  
Alpha Power ◽  
Default Mode ◽  
Dorsal Attention Network ◽  
Left And Right ◽  
Eeg Alpha ◽  
Adult Volunteers

The default mode network is active during restful wakefulness and suppressed during goal-driven behavior. We hypothesize that inhibitory interference with spontaneous ongoing, that is, not task-driven, activity in the angular gyrus (AG), one of the core regions of the default mode network, will enhance the dominant idling EEG alpha rhythms observed in the resting state. Fifteen right-handed healthy adult volunteers underwent to this study. Compared with sham stimulation, magnetic stimulation (1 Hz for 1 min) over both left and right AG, but not over FEF or intraparietal sulcus, core regions of the dorsal attention network, enhanced the dominant alpha power density (8–10 Hz) in occipitoparietal cortex. Furthermore, right AG-rTMS enhanced intrahemispheric alpha coherence (8–10 Hz). These results suggest that AG plays a causal role in the modulation of dominant low-frequency alpha rhythms in the resting-state condition.

Decreased Functional Connectivity by Aging Is Associated with Cognitive Decline

2012 ◽  
Vol 24 (11) ◽  
pp. 2186-2198 ◽  
Author(s):  
Keiichi Onoda ◽  
Masaki Ishihara ◽  
Shuhei Yamaguchi
Keyword(s):  
Functional Connectivity ◽  
Independent Component Analysis ◽  
Cognitive Decline ◽  
Elderly People ◽  
Default Mode Network ◽  
Resting State ◽  
Cognitive Abilities ◽  
Salience Network ◽  
Resting State Networks ◽  
Default Mode

Aging is related to cognitive decline, and it has been reported that aging disrupts some resting state brain networks. However, most studies have focused on the default mode network and ignored other resting state networks. In this study, we measured resting state activity using fMRI and explored whether cognitive decline with aging is related to disrupted resting state networks. Independent component analysis was used to evaluate functional connectivity. Notably, the connectivity within the salience network that consisted of the bilateral insula and the anterior cingulated cortex decreased with aging; the impairment of functional connectivity was correlated with measured decreases in individual cognitive abilities. Furthermore, certain internetwork connectivities (salience to auditory, default mode to visual, etc.) also decreased with aging. These results suggest that (1) aging affects not only the default mode network but also other networks, specifically the salience network; (2) aging affects internetwork connectivity; and (3) disruption of the salience network is related to cognitive decline in elderly people.

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