Quality of maternal behaviour during infancy predicts functional connectivity between default mode network and salience network 9 years later

We applied resting-state functional magnetic resonance imaging (fMRI) to examine the Apolipoprotein E (ApoE) ε4 allele effects on functional connectivity of the default mode network (DMN) and the salience network (SN). Considering the frequency specific effects of functional connectivity, we decomposed the brain network time courses into two bands: 0.01–0.027 Hz and 0.027–0.08 Hz. All scans were acquired by the Alzheimer’s Disease Neuroscience Initiative (ADNI). Thirty-two nondemented subjects were divided into two groups based on the presence (n=16) or absence (n=16) of the ApoE ε4 allele. We explored the frequency specific effects of ApoE ε4 allele on the default mode network (DMN) and the salience network (SN) functional connectivity. Compared to ε4 noncarriers, the DMN functional connectivity of ε4 carriers was significantly decreased while the SN functional connectivity of ε4 carriers was significantly increased. Many functional connectivities showed significant differences at the lower frequency band of 0.01–0.027 Hz or the higher frequency band of 0.027–0.08 Hz instead of the typical range of 0.01–0.08 Hz. The results indicated a frequency dependent effect of resting-state signals when investigating RSNs functional connectivity.

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Interaction of the Salience Network, Ventral Attention Network, Dorsal Attention Network and Default Mode Network in Neonates and Early Development of the Bottom-up Attention System.

10.21203/rs.3.rs-465657/v1 ◽

2021 ◽

Author(s):

Valeria Onofrj ◽

Antonio Maria Chiarelli ◽

Richard Wise ◽

Cesare Colosimo ◽

Massimo Caulo

Keyword(s):

Functional Connectivity ◽

Default Mode Network ◽

Mediation Analysis ◽

Data Driven ◽

Salience Network ◽

Bottom Up ◽

Attention Network ◽

Default Mode ◽

Dorsal Attention Network

Abstract The Salience Network (SN), Ventral Attention Network (VAN), Dorsal Attention Network (DAN) and Default Mode Network (DMN) have shown significant interactions and overlapping functions in bottom-up and top-down mechanisms of attention. In the present study we tested if the SN, VAN, DAN and DMN connectivity can infer the gestational age (GA) at birth in a study group of 88 healthy neonates with GA at birth ranging from 28 to 40 weeks. We also ascertained whether the connectivity within each of the SN, VAN, DAN and DMN is able to infer the average functional connectivity of the others. The ability to infer GA at birth or another network's connectivity was evaluated using a multi-variate data-driven framework. A mediation analysis was performed in order to estimate the transmittance of change of a network’s functional connectivity (FC) over another mediated by the GA.The VAN, DAN and the DMN infer the GA at birth (p<0.05). The SN, DMN and VAN were able to infer the average connectivity over the other networks (p<0.05). Mediation analysis between VAN’s and DAN’s inference on GA found reciprocal transmittance of change of VAN’s and DAN’s connectivity (p<0.05). Our findings suggest that the VAN has a prominent role in the bottom-up salience detection in early infancy and that the role of the VAN and the SN may overlap in the bottom-up control of attention.

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Aberrant posterior superior temporal sulcus functional connectivity and executive dysfunction in adolescents with internet gaming disorder

Journal of Behavioral Addictions ◽

10.1556/2006.2020.00060 ◽

2020 ◽

Vol 9 (3) ◽

pp. 589-597

Author(s):

Junghan Lee ◽

Deokjong Lee ◽

Kee Namkoong ◽

Young-Chul Jung

Keyword(s):

Functional Connectivity ◽

Default Mode Network ◽

Large Scale ◽

Internet Gaming Disorder ◽

Executive Dysfunction ◽

Brain Network ◽

Salience Network ◽

Gaming Disorder ◽

Default Mode ◽

Internet Gaming

AbstractBackground and aimsThe clinical significance of Internet gaming disorder (IGD) is spreading worldwide, but its underlying neural mechanism still remains unclear. Moreover, the prevalence of IGD seems to be the highest in adolescents whose brains are in development. This study investigated the functional connectivity between large-scale intrinsic networks including default mode network, executive control network, and salience network. We hypothesized that adolescents with IGD would demonstrate different functional connectivity patterns among large-scale intrinsic networks, implying neurodevelopmental alterations, which might be associated with executive dysfunction.MethodsThis study included 17 male adolescents with Internet gaming disorder, and 18 age-matched male adolescents as healthy controls. Functional connectivity was examined using seed-to-voxel analysis and seed-to-seed analysis, with the nodes of large-scale intrinsic networks used as region of interests. Group independent component analysis was performed to investigate spatially independent network.ResultsWe identified aberrant functional connectivity of salience network and default mode network with the left posterior superior temporal sulcus (pSTS) in adolescents with IGD. Furthermore, functional connectivity between salience network and pSTS correlated with proneness to Internet addiction and self-reported cognitive problems. Independent component analysis revealed that pSTS was involved in social brain network.Discussion and conclusionsThe results imply that aberrant functional connectivity of social brain network with default mode network and salience network was identified in IGD that may be associated with executive dysfunction. Our results suggest that inordinate social stimuli during excessive online gaming leads to altered connections among large-scale networks during neurodevelopment of adolescents.

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Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder

Progress in Neuro-Psychopharmacology and Biological Psychiatry ◽

10.1016/j.pnpbp.2018.06.012 ◽

2019 ◽

Vol 88 ◽

pp. 11-18 ◽

Cited By ~ 19

Author(s):

JiaYing Gong ◽

Guanmao Chen ◽

Yanbin Jia ◽

Shuming Zhong ◽

Lianping Zhao ◽

...

Keyword(s):

Functional Connectivity ◽

Default Mode Network ◽

Salience Network ◽

Bipolar Ii Disorder ◽

Default Mode ◽

Bipolar Ii

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Modulatory Interactions between the Default Mode Network and Task Positive Networks in Resting-State

10.7287/peerj.preprints.124v1 ◽

2013 ◽

Author(s):

Xin Di ◽

Bharat B. Biswal

Keyword(s):

Basal Ganglia ◽

Functional Connectivity ◽

Default Mode Network ◽

Resting State ◽

Brain Networks ◽

Brain Regions ◽

Salience Network ◽

Imaging Data ◽

Default Mode ◽

Brain Functions

Communications between different brain systems are critical to support complex brain functions. Unlike generally high functional connectivity between brain regions from same system, functional connectivity between regions from different systems are more variable. In the present study, we examined whether the connectivity between different brain networks were modulated by other regions by using physiophysiological interaction (PPI) on resting-state functional magnetic resonance imaging data. Spatial independent component analysis was first conducted to identify the default mode network (DMN) and several task positive networks, including the salience, dorsal attention, left and right executive networks. PPI analysis was conducted between pairs of these networks to identify networks or regions that showed modulatory interactions with the two networks. Network-wise analysis revealed reciprocal modulatory interactions between the DMN, salience, and executive networks. Together with the anatomical properties of the salience network regions, the results suggest that the salience network may modulate the relationship between the DMN and executive networks. In addition, voxel-wise analysis demonstrated that the basal ganglia and thalamus positively interacted with the salience network and the dorsal attention network, and negatively interacted with the salience network and the DMN. The results demonstrated complex relationships among brain networks in resting-state, and suggested that between network communications of these networks may be modulated by some critical brain structures such as the salience network, basal ganglia, and thalamus.

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Quality of life is related to the functional connectivity of the default mode network at rest

Brain Imaging and Behavior ◽

10.1007/s11682-018-9954-5 ◽

2018 ◽

Vol 13 (5) ◽

pp. 1418-1426 ◽

Cited By ~ 4

Author(s):

Inessa Kraft ◽

Joana Bisol Balardin ◽

João Ricardo Sato ◽

Jens Sommer ◽

Patricia Tobo ◽

...

Keyword(s):

Quality Of Life ◽

Functional Connectivity ◽

Default Mode Network ◽

Default Mode

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White Matter Hyperintensity Load Modulates Brain Morphometry and Brain Connectivity in Healthy Adults: A Neuroplastic Mechanism?

Neural Plasticity ◽

10.1155/2017/4050536 ◽

2017 ◽

Vol 2017 ◽

pp. 1-10 ◽

Cited By ~ 10

Author(s):

Matteo De Marco ◽

Riccardo Manca ◽

Micaela Mitolo ◽

Annalena Venneri

Keyword(s):

White Matter ◽

Functional Connectivity ◽

Default Mode Network ◽

Grey Matter ◽

Brain Connectivity ◽

Healthy Adults ◽

Adaptive Plasticity ◽

White Matter Hyperintensity ◽

Salience Network ◽

Default Mode

White matter hyperintensities (WMHs) are acquired lesions that accumulate and disrupt neuron-to-neuron connectivity. We tested the associations between WMH load and (1) regional grey matter volumes and (2) functional connectivity of resting-state networks, in a sample of 51 healthy adults. Specifically, we focused on the positive associations (more damage, more volume/connectivity) to investigate a potential route of adaptive plasticity. WMHs were quantified with an automated procedure. Voxel-based morphometry was carried out to model grey matter. An independent component analysis was run to extract the anterior and posterior default-mode network, the salience network, the left and right frontoparietal networks, and the visual network. Each model was corrected for age, global levels of atrophy, and indices of brain and cognitive reserve. Positive associations were found with morphometry and functional connectivity of the anterior default-mode network and salience network. Within the anterior default-mode network, an association was found in the left mediotemporal-limbic complex. Within the salience network, an association was found in the right parietal cortex. The findings support the suggestion that, even in the absence of overt disease, the brain actuates a compensatory (neuroplastic) response to the accumulation of WMH, leading to increases in regional grey matter and modified functional connectivity.

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Decreased Functional Connectivity by Aging Is Associated with Cognitive Decline

Journal of Cognitive Neuroscience ◽

10.1162/jocn_a_00269 ◽

2012 ◽

Vol 24 (11) ◽

pp. 2186-2198 ◽

Cited By ~ 154

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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Relationship between Quality of Life and the Complexity of Default Mode Network in Resting State Functional Magnetic Resonance Image in Down Syndrome

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17197127 ◽

2020 ◽

Vol 17 (19) ◽

pp. 7127

Author(s):

Maria Carbó-Carreté ◽

Cristina Cañete-Massé ◽

María D. Figueroa-Jiménez ◽

Maribel Peró-Cebollero ◽

Joan Guàrdia-Olmos

Keyword(s):

Quality Of Life ◽

Down Syndrome ◽

Functional Connectivity ◽

Default Mode Network ◽

Default Mode ◽

Cognitive States ◽

Connectivity Patterns ◽

The Relationship ◽

The Brain

Background: The study of the Default Mode Network (DMN) has been shown to be sensitive for the recognition of connectivity patterns between the brain areas involved in this network. It has been hypothesized that the connectivity patterns in this network are related to different cognitive states. Purpose: In this study, we explored the relationship that can be estimated between these functional connectivity patterns of the DMN with the Quality-of-Life levels in people with Down syndrome, since no relevant data has been provided for this population. Methods: 22 young people with Down syndrome were evaluated; they were given a large evaluation battery that included the Spanish adaptation of the Personal Outcome Scale (POS). Likewise, fMRI sequences were obtained on a 3T resonator. For each subject, the DMN functional connectivity network was studied by estimating the indicators of complexity networks. The variability obtained in the Down syndrome group was studied by taking into account the Quality-of-Life distribution. Results: There is a negative correlation between the complexity of the connectivity networks and the Quality-of-Life values. Conclusions: The results are interpreted as evidence that, even at rest, connectivity levels are detected as already shown in the community population and that less intense connectivity levels correlate with higher levels of Quality of Life in people with Down syndrome.

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