Resting-state functional under-connectivity within and between large-scale cortical networks across three low-frequency bands in adolescents with autism

Duan, Xujun; Chen, Heng; He, Changchun; Long, Zhiliang; Guo, Xiaonan; Zhou, Yuanyue; Uddin, Lucina Q.; Chen, Huafu

doi:10.1016/j.pnpbp.2017.07.027

Cited by 50 publications

(48 citation statements)

References 79 publications

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“…In the current study, significant contributions to the global increases in SMP were primarily localized between networks, highlighting atypical, large-scale internetwork coordination in autism between visual and default mode networks as well as subcortical regions known to the involved in social cognition (Abbott et al, 2016;Duan et al, 2017;Hagen, Stoyanova, Baron-Cohen, & Calder, 2012). In the current study, significant contributions to the global increases in SMP were primarily localized between networks, highlighting atypical, large-scale internetwork coordination in autism between visual and default mode networks as well as subcortical regions known to the involved in social cognition (Abbott et al, 2016;Duan et al, 2017;Hagen, Stoyanova, Baron-Cohen, & Calder, 2012).…”

Section: Discussionmentioning

confidence: 53%

“…During early-life development, a time when atypical development is often first diagnosed, rapid changes occur in connectome that is subject to the competing forces of module segregation for functional specialization, and inter-module integration to facilitate behaviors combining specializations (Homae et al, 2010). A reduction in this integration appears to be a key characteristic of autism (Abbott et al, 2016;Duan et al, 2017;Keown et al, 2013Keown et al, , 2017, and in particular the switching between local and global processing (Hong et al, 2019). By virtue of their long-range influence and ubiquity in the connectome, weak links are suggested as a potential substrate for integrative communication, and thus metrics sensitive to their distribution could be informative of neurodevelopmental disorders such as autism.…”

Section: Introductionmentioning

confidence: 99%

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Enhancement of indirect functional connections with shortest path length in the adult autistic brain

Guo¹,

Simas

Lai

et al. 2019

Human Brain Mapping

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Autism is a neurodevelopmental condition characterized by atypical brain functional organization. Here we investigated the intrinsic indirect (semi‐metric) connectivity of the functional connectome associated with autism. Resting‐state functional magnetic resonance imaging scans were acquired from 65 neurotypical adults (33 males/32 females) and 61 autistic adults (30 males/31 females). From functional connectivity networks, semi‐metric percentages (SMPs) were calculated to assess the proportion of indirect shortest functional pathways at global, hemisphere, network, and node levels. Group comparisons were then conducted to ascertain differences between autism and neurotypical control groups. Finally, the strength and length of edges were examined to explore the patterns of semi‐metric connections associated with autism. Compared with neurotypical controls, autistic adults displayed significantly higher SMP at all spatial scales, similar to prior observations in adolescents. Differences were primarily in weaker, longer‐distance edges in the majority between networks. However, no significant diagnosis‐by‐sex interaction effects were observed on global SMP. These findings suggest increased indirect functional connectivity in the autistic brain is persistent from adolescence to adulthood and is indicative of reduced functional network integration.

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Section: Discussionmentioning

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Enhancement of indirect functional connections with shortest path length in the adult autistic brain

Guo¹,

Simas

Lai

et al. 2019

Human Brain Mapping

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“…Previous studies have shown that the low frequency range could be subdivided into several bands and specific frequency bands may carry specific properties or physiological functions (Cha et al, ; Duan et al, ; Palva & Palva, ). Here, we subdivided the low frequency range into four bands according to previously defined (Buzsaki & Draguhn, ; Zuo et al, ): Slow‐5 (0.01–0.027 Hz), Slow‐4 (0.027–0.073 Hz), Slow‐3 (0.073–0.198 Hz), and Slow‐2 (0.198–0.25 Hz).…”

Section: Methodsmentioning

confidence: 99%

“…First, the frequency band effect on white‐matter FC remained unclear. Previous studies have demonstrated that traditional full frequency band (0–0.25 Hz) could be subdivided into several bands, and distinct frequency bands may reflect differential physiological properties and specific‐disorder alterations (Cha, Zatorre, & Schonwiesner, ; Duan et al, ; Palva & Palva, ). Second, the interactions between gray‐matter and white‐matter networks have not been fully characterized.…”

Section: Introductionmentioning

confidence: 99%

Dysfunctional white‐matter networks in medicated and unmedicated benign epilepsy with centrotemporal spikes

Jiang

et al. 2019

Human Brain Mapping

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Benign epilepsy with centrotemporal spikes (BECT) is the most common childhood idiopathic focal epilepsy syndrome, which characterized with white‐matter abnormalities in the rolandic cortex. Although diffusion tensor imaging research could characterize white‐matter structural architecture, it cannot detect neural activity or white‐matter functions. Recent studies demonstrated the functional organization of white‐matter by using functional magnetic resonance imaging (fMRI), suggesting that it is feasible to investigate white‐matter dysfunctions in BECT. Resting‐state fMRI data were collected from 24 new‐onset drug‐naive (unmedicated [NMED]), 21 medicated (MED) BECT patients, and 27 healthy controls (HC). Several white‐matter functional networks were obtained using a clustering analysis on voxel‐by‐voxel correlation profiles. Subsequently, conventional functional connectivity (FC) was calculated in four frequency sub‐bands (Slow‐5:0.01–0.027, Slow‐4:0.027–0.073, Slow‐3:0.073–0.198, and Slow‐2:0.198–0.25 Hz). We also employed a functional covariance connectivity (FCC) to estimate the covariant relationship between two white‐matter networks based on their correlations with multiple gray‐matter regions. Compared with HC, the NMED showed increased FC and/or FCC in rolandic network (RN) and precentral/postcentral network, and decreased FC and/or FCC in dorsal frontal network, while these alterations were not observed in the MED group. Moreover, the changes exhibited frequency‐specific properties. Specifically, only two alterations were shared in at least two frequency bands. Most of these alterations were observed in the frequency bands of Slow‐3 and Slow‐4. This study provided further support on the existence of white‐matter functional networks which exhibited frequency‐specific properties, and extended abnormalities of rolandic area from the perspective of white‐matter dysfunction in BECT.

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“…The corrected functional data were then normalized to the Montreal Neurological Institute space using 12‐parameter affine linear transformation and nonlinear deformation and then resampled to 3 × 3 × 3 mm 3 . Signals from white matter, cerebrospinal fluid, and 24 rigid body motion parameters were subsequently regressed out from the data to reduce spurious variance; the images were spatially smoothed with a 6 mm full‐width at half‐maximum Gaussian kernel to avoid introducing artificial local spatial correlations [Duan et al, ; Wang et al, ]. Linear detrending and band‐pass filtering (0.01–0.08 Hz) were subsequently performed to reduce the effects of low‐frequency drift and high‐frequency noise.…”

Section: Methodsmentioning

confidence: 99%

Dynamic functional connectivity analysis reveals decreased variability of the default‐mode network in developing autistic brain

Chen²,

Jian

et al. 2018

Autism Research

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Accumulating neuroimaging evidence suggests that abnormal functional connectivity of the default mode network (DMN) contributes to the social‐cognitive deficits of autism spectrum disorder (ASD). Although most previous studies relied on conventional functional connectivity methods, which assume that connectivity patterns remain constant over time, understanding the temporal dynamics of functional connectivity during rest may provide new insights into the dysfunction of the DMN in ASD. In this work, dynamic functional connectivity analysis based on sliding time window correlation was applied to the resting‐state functional magnetic resonance imaging data of 28 young children with ASD (age range: 3–7 years) and 29 matched typically developing controls (TD group). In addition, k‐means cluster analysis was performed to identify distinct temporal states based on the spatial similarity of each functional connectivity pattern. Compared with the TD group, young children with ASD showed decreased dynamic functional connectivity variance between the posterior cingulate cortex (PCC) and the right precentral gyrus, which is negatively correlated with social motivation and social relating. Cluster analysis revealed significant differences in functional connectivity patterns between the ASD and TD groups in discrete temporal states. Our findings reveal that atypical dynamic interactions between the PCC and sensorimotor cortex are associated with social deficits in ASD. Results also highlight the critical role of PCC in the social‐cognitive deficits of ASD and support the concept that understanding the dynamic neural interactions among brain regions can provide insights into functional abnormalities in ASD. Autism Research 2018, 11: 1479–1493. © 2018 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary Social cognitive dysfunction in autism spectrum disorder (ASD) is associated with dysfunction of the default mode network (DMN), a set of brain areas involved in various domains of social processing. We found that decreases in the dynamic functional connectivity variance between the posterior cingulate cortex and the sensorimotor cortex are associated with deficits in social motivation and social relating in young children with ASD. This result suggests that aberrations in the DMN and its dynamic interactions with other networks contribute to atypical integration of information with respect to self and others.

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Resting-state functional under-connectivity within and between large-scale cortical networks across three low-frequency bands in adolescents with autism

Cited by 50 publications

References 79 publications

Enhancement of indirect functional connections with shortest path length in the adult autistic brain

Enhancement of indirect functional connections with shortest path length in the adult autistic brain

Dysfunctional white‐matter networks in medicated and unmedicated benign epilepsy with centrotemporal spikes

Dynamic functional connectivity analysis reveals decreased variability of the default‐mode network in developing autistic brain

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