Aberrant dynamics of spontaneous brain activity and its integration in patients with autism spectrum disorder

Lu, Bin; Chen, Xiao; Li, Le; Shen, Yangqian; Chen, Ningxuan; Mei, Ting; Zhou, Huixia; Liu, Jing; Chen, Yan

doi:10.1360/n972017-01260

Cited by 7 publications

(4 citation statements)

References 35 publications

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“…Compared with another index named fractional ALFF (fALFF), which also characterizes the local spontaneous brain activity, ALFF has shown higher test–retest reliability [Jia et al, 2020]. Previous studies have shown atypical regional ALFF in ASD [Guo et al, 2017; Lu et al, 2018]. The altered FCC in ASD might be induced by the atypical regional ALFF.…”

Section: Discussionmentioning

confidence: 99%

Atypical Functional Covariance Connectivity Between Gray and White Matter in Children With Autism Spectrum Disorder

et al. 2020

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Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with atypical gray matter (GM) and white matter (WM) functional developmental course. However, the functional co‐developmental pattern between GM and WM in ASD is unclear. Here, we utilized a functional covariance connectivity method to explore the concordance pattern between GM and WM function in individuals with ASD. A multi‐center resting‐state fMRI dataset composed of 105 male children with ASD and 102 well‐matched healthy controls (HCs) from six sites of the ABIDE dataset was utilized. GM and WM ALFF maps were calculated for each subject. Voxel by voxel functional covariance connectivity of the ALFF values across subjects was calculated between GM and WM for children with ASD and HCs. A Z‐test combining FDR multi‐comparison correction was then employed to determine whether the functional covariance is significantly different between the two groups. A “bundling” strategy was utilized to ensure that the GM/WM clusters showing atypical functional covariance were larger than 5 voxels. Finally, canonical correlation analysis was conducted to explore whether the atypical GM/WM functional covariance is related to ASD symptoms. Results showed atypical functional covariance connections between specific GM and WM regions, whereas the ALFF values of these regions indicated no significant difference between the two groups. Canonical correlation analysis revealed a significant relationship between the atypical functional covariance and stereotyped behaviors of ASD. The results indicated an altered functional co‐developmental pattern between WM and GM in ASD. Lay Summary White matter (WM) and gray matter (GM) are two major human brain organs supporting brain function. WM and GM functions show a specific co‐developmental pattern in typical developed individuals. This study showed that this GM/WM co‐developmental pattern was altered in children with ASD, while this altered GM/WM co‐developmental pattern was related to stereotyped behaviors. These findings may help understand the GM/WM functional development of ASD.

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Section: Discussionmentioning

confidence: 99%

Atypical Functional Covariance Connectivity Between Gray and White Matter in Children With Autism Spectrum Disorder

et al. 2020

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“…As a result, it should be indicated that to ensure successful diagnosis, therapy, and prevention, it is critical to research the sophisticated mechanisms underlying ADHD, as well as the functional deficits of the diseased brain. rs-fMRI is one such a non-invasive and safe method of detecting spontaneous brain activity (Lu et al, 2018 ). Over the last three decades, numerous studies have been conducted to investigate potential imaging changes and biomarkers of ADHD.…”

Section: Introductionmentioning

confidence: 99%

Abnormal Insular Dynamic Functional Connectivity and Its Relation to Social Dysfunctioning in Children With Attention Deficit/Hyperactivity Disorder

Fateh

Huang

et al. 2022

Front. Neurosci.

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Anomalies in large-scale cognitive control networks impacting social attention abilities are hypothesized to be the cause of attention deficit hyperactivity disorder (ADHD). The precise nature of abnormal brain functional connectivity (FC) dynamics including other regions, on the other hand, is unknown. The concept that insular dynamic FC (dFC) among distinct brain regions is dysregulated in children with ADHD was evaluated using Insular subregions, and we studied how these dysregulations lead to social dysfunctioning. Data from 30 children with ADHD and 28 healthy controls (HCs) were evaluated using dynamic resting state functional magnetic resonance imaging (rs-fMRI). We evaluated the dFC within six subdivisions, namely both left and right dorsal anterior insula (dAI), ventral anterior insula (vAI), and posterior insula (PI). Using the insular sub-regions as seeds, we performed group comparison between the two groups. To do so, two sample t-tests were used, followed by post-hoc t-tests. Compared to the HCs, patients with ADHD exhibited decreased dFC values between right dAI and the left middle frontal gyrus, left postcentral gyrus and right of cerebellum crus, respectively. Results also showed a decreased dFC between left dAI and thalamus, left vAI and left precuneus and left PI with temporal pole. From the standpoint of the dynamic functional connectivity of insular subregions, our findings add to the growing body of evidence on brain dysfunction in ADHD. This research adds to our understanding of the neurocognitive mechanisms behind social functioning deficits in ADHD. Future ADHD research could benefit from merging the dFC approach with task-related fMRI and non-invasive brain stimulation, which could aid in the diagnosis and treatment of the disorder.

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“…Previous studies detected VIN abnormalities in patients with TLE ( Zhang et al, 2009 ; Cataldi et al, 2013 ). Lu et al (2018) reported a consistent decline in dynamic ReHo, DC, and ALFF in the occipital lobe of patients with autism. According to the implication represented by each static indicator, we speculated that the decreases in dReho, dVMHC, dDC, and dGSCorr suggested a lack of essential flexibility and plasticity in functional connectivity among neighboring regions, interhemispheric homotopic regions, and the remaining brain regions.…”

Section: Discussionmentioning

confidence: 76%

More than just statics: Static and temporal dynamic changes in intrinsic brain activity in unilateral temporal lobe epilepsy

Song

Zhang

Han

et al. 2022

Front. Hum. Neurosci.

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BackgroundTemporal lobe epilepsy (TLE) is the most prevalent refractory focal epilepsy and is more likely accompanied by cognitive impairment. The fully understanding of the neuronal activity underlying TLE is of great significance.ObjectiveThis study aimed to comprehensively explore the potential brain activity abnormalities affected by TLE and detect whether the changes were associated with cognition.MethodsSix static intrinsic brain activity (IBA) indicators [amplitude of low-frequency fluctuation (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo), degree centrality (DC), global signal correlation (GSCorr), and voxel-mirrored homotopic connectivity (VMHC)] and their corresponding dynamic indicators, such as dynamic ALFF (dALFF), dynamic fALFF (dfALFF), dynamic ReHo (dReHo), dynamic DC (dDC), dynamic VMHC (dVMHC), and dynamic GSCorr (dGSCorr), in 57 patients with unilateral TLE and 42 healthy volunteers were compared. Correlation analyses were also performed between these indicators in areas displaying group differences and cognitive function, epilepsy duration, and severity.ResultsMarked overlap was present among the abnormal brain regions detected using various static and dynamic indicators, primarily including increased ALFF/dALFF/fALFF in the bilateral medial temporal lobe and thalamus, decreased ALFF/dALFF/fALFF in the frontal lobe contralateral to the epileptogenic side, decreased fALFF, ReHo, dReHo, DC, dDC, GSCorr, dGSCorr, and VMHC in the temporal neocortex ipsilateral to the epileptogenic foci, decreased dReHo, dDC, dGSCorr, and dVMHC in the occipital lobe, and increased ALFF, fALFF, dfALFF, ReHo, and DC in the supplementary motor area ipsilateral to the epileptogenic foci. Furthermore, most IBA indicators in the abnormal brain region significantly correlated with the duration of epilepsy and several cognitive scale scores (P < 0.05).ConclusionThe combined application of static and dynamic IBA indicators could comprehensively reveal more real abnormal neuronal activity and the impairment and compensatory mechanisms of cognitive function in TLE. Moreover, it might help in the lateralization of epileptogenic foci and exploration of the transmission and inhibition pathways of epileptic activity.

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Aberrant dynamics of spontaneous brain activity and its integration in patients with autism spectrum disorder

Cited by 7 publications

References 35 publications

Atypical Functional Covariance Connectivity Between Gray and White Matter in Children With Autism Spectrum Disorder

Atypical Functional Covariance Connectivity Between Gray and White Matter in Children With Autism Spectrum Disorder

Abnormal Insular Dynamic Functional Connectivity and Its Relation to Social Dysfunctioning in Children With Attention Deficit/Hyperactivity Disorder

More than just statics: Static and temporal dynamic changes in intrinsic brain activity in unilateral temporal lobe epilepsy

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