Intrinsic functional connectivity variance and state‐specific under‐connectivity in autism

Chen, Heng; Nomi, Jason S.; Uddin, Lucina Q.; Duan, Xujun; Chen, Huafu

doi:10.1002/hbm.23764

Cited by 112 publications

(125 citation statements)

References 75 publications

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“…http://dx.doi.org/10.1101/198093 doi: bioRxiv preprint first posted online Oct. 4, 2017; total scores, with most connections involving the right medial superior frontal gyrus and left middle temporal pole (Chen et al, 2017), and positive correlations between temporal variability in several DMN regions and RRB scores (Zhang et al, 2016). Crucially, we did not find reliable relationships between FC and behaviour when all ASD participants were considered as a single group, which reveals the importance of defining subtypes of ASD in order to elucidate relationships between FC and behavioural measures.…”

Section: Relationships Between Fc and Behaviourmentioning

confidence: 63%

“…Network-level analyses for the second LV showed that positive BSRs (ASD > TD) were reliable within the FPN and OCC, and negative BSRs (TD > ASD) were reliable within the DMN and SMN. Decreased temporal stability, or increased variability, has been reported in recent studies of dynamic FC in individuals with ASD (Chen et al, 2017;Falahpour et al, 2016;Zhang et al, 2016). Chen et al (2017) found a cluster of connections that were more variable in ASD, and were particularly prominent in prefrontal and temporal regions, especially the right medial superior frontal gyrus.…”

Section: Cc-by-nc-ndmentioning

confidence: 70%

“…While some degree of noise is beneficial for information processing in the brain (McIntosh, Kovacevic, & Itier, 2008), too much physiological noise in the brain may be associated with a reduced ability to efficiently explore different network configurations (Winterer et al, 2000). Further, Chen et al (2017) noted that increased variability of dynamic FC may disturb the processing of cognitive and social information in individuals with ASD. Interestingly, while there were reliable associations .…”

Section: Cc-by-nc-ndmentioning

confidence: 99%

“…It is particularly valuable to study dynamic FC in ASD, as it has been suggested that the disorder is characterized by a decreased signal to noise ratio in the brain; thus, noisier, more variable signaling can be expected (Rubenstein & Merzenich, 2003) and may mediate the atypical patterns of static FC (Falahpour et al, 2016). While little research has been conducted on the dynamic nature of FC in individuals with ASD, recent studies have reported increased variability of FC, particularly for connections involving the default mode network (Chen et al, 2017;Falahpour et al, 2016;Zhang et al, . CC-BY-NC-ND 4.0 International license peer-reviewed) is the author/funder.…”

Section: Introductionmentioning

confidence: 99%

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Functional connectivity-based subtypes of individuals with and without autism spectrum disorder

Easson

Fatima

McIntosh

2017

Preprint

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Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder that is characterized by impairments in social communication and restricted and repetitive behaviours.Neuroimaging studies of individuals with ASD have shown complex patterns of functional connectivity (FC), with no clear consensus on defining brain-behaviour attributes of different subtypes of the disorder. In these studies, "static FC", a metric that considers correlations across the entire time series for a given region, was used. Emerging evidence shows that FC changes over time; this "dynamic FC" can allow for unique detection of the temporal variability of functional connections over time. Here, we used k-means clustering, an unsupervised machine learning algorithm, to characterize two subtypes of ASD based on distinct patterns of static and dynamic FC. A multivariate statistical approach was then implemented to determine optimal relationships between FC patterns and group membership or behaviour. The main objective was to characterize differences in static and dynamic FC between subtypes of ASD defined in a fully data-driven manner, and between subtypes and typically developing individuals. Subtype 2 was defined by increased FC within resting-state networks and decreased FC across networks for static FC, global increases in temporal stability of dynamic FC, and robust relationships between FC and several behaviours, relative to Subtype 1. Further, both ASD subtypes exhibited different patterns of static and dynamic FC compared to controls, particularly within default mode, sensorimotor, and occipital networks. Static and dynamic FC metrics provided both overlapping and unique information about the nature of FC differences between subtypes, and between both subtypes and controls. Our results demonstrate the value of considering FC-based subtypes of ASD to elucidate different relationships between brain and behaviour among individuals with this disorder, and have important clinical implications for catering treatments and behavioural interventions to specific subtypes.

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Section: Relationships Between Fc and Behaviourmentioning

confidence: 63%

Section: Cc-by-nc-ndmentioning

confidence: 70%

Section: Cc-by-nc-ndmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Functional connectivity-based subtypes of individuals with and without autism spectrum disorder

Easson

Fatima

McIntosh

2017

Preprint

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“…Thus, increasing importance has been placed on exploring the dynamic relationship of functional connectivity in autism. 12,13,14 …”

Section: Introductionmentioning

confidence: 99%

Evaluation of Differences in Temporal Synchrony Between Brain Regions in Individuals With Autism and Typical Development

et al. 2018

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Key Points Question Do individuals with autism show atypical duration of brain functional connections? Findings In this cohort study of 52 individuals with autism and 38 typically developing participants and a replication study of 1402 participants in a brain imaging database, increased durations of functional connections in autism were found in both distributed networks and individual brain regions, which were associated with metrics of disease severity. Meaning Persistence of brain connectivity in autism may limit the ability to rapidly shift from one brain state to another and contribute to the pathophysiology of autism.

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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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Intrinsic functional connectivity variance and state‐specific under‐connectivity in autism

Cited by 112 publications

References 75 publications

Functional connectivity-based subtypes of individuals with and without autism spectrum disorder

Functional connectivity-based subtypes of individuals with and without autism spectrum disorder

Evaluation of Differences in Temporal Synchrony Between Brain Regions in Individuals With Autism and Typical Development

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

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