Brain state-dependent dynamic functional connectivity patterns in attention-deficit/hyperactivity disorder

Sun, Yunkai; Lan, Zhihui; Xue, Shao‐Wei; Zhao, Lei; Xiao, Yang; Kuai, Changxiao; Lin, Q.; Bao, Kangchen

doi:10.1016/j.jpsychires.2021.05.010

Cited by 20 publications

(9 citation statements)

References 44 publications

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“…They came to the conclusion that dynamic changes in brain FC may better help to explain the pathophysiology of ADHD. Sun et al ( 2021 ) suggested state-dependent dynamic changes in large-scale brain connections and network topologies in ADHD. Yang et al ( 2021 ) found that children with ADHD have more unstable dFC of the amygdala subregions, which may impact their cognitive skills.…”

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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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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“…In this regard, several studies have found abnormal dFC in ADHD patients. For example, a recent study found that patients with ADHD had significantly changed dFC of the cingulo-opercular network and sensorimotor network (Sun et al, 2021). Another research reported that the default-mode and task-positive networks in people with ADHD exhibit a quasiperiodic clustering recurrence pattern during the entire rs-fMRI scan, suggesting that dFC alterations in people with ADHD may be a neuroimaging marker for ADHD (Kaboodvand et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Functional Connectivity Reveals Abnormal Variability in the Amygdala Subregions of Children With Attention-Deficit/Hyperactivity Disorder

Yang

Zhang

et al. 2021

Front. Neurosci.

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Objective: This study investigates whether the dynamic functional connectivity (dFC) of the amygdala subregions is altered in children with attention-deficit/hyperactivity disorder (ADHD).Methods: The dFC of the amygdala subregions was systematically calculated using a sliding time window method, for 75 children with ADHD and 20 healthy control (HC) children.Results: Compared with the HC group, the right superficial amygdala exhibited significantly higher dFC with the right prefrontal cortex, the left precuneus, and the left post-central gyrus for children in the ADHD group. The dFC of the amygdala subregions showed a negative association with the cognitive functions of children in the ADHD group.Conclusion: Functional connectivity of the amygdala subregions is more unstable among children with ADHD. In demonstrating an association between the stability of functional connectivity of the amygdala and cognitive functions, this study may contribute by providing a new direction for investigating the internal mechanism of ADHD.

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“…Although it is difficult to avoid the decrease of accuracy in the independent dataset because we did not do more work related to feature engineering (using only functional connectivity), our method still has a greater advantage over the features constructed by the original RSNs. In addition, features based on RINs and ANs, such as dynamic functional connectivity ( Sun et al, 2021 ), dynamic brain fluctuations ( Moguilner et al, 2021 ), or combined with non-image information features ( Riaz et al, 2018 ), are expected to lead to better diagnostic results.…”

Section: Discussionmentioning

confidence: 99%

Brain Relatively Inert Network: Taking Adult Attention Deficit Hyperactivity Disorder as an Example

et al. 2021

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Resting-state functional MRI (rs-fMRI) has been increasingly applied in the research of brain cognitive science and psychiatric diseases. However, previous studies only focused on specific activation areas of the brain, and there are few studies on the inactivation areas. This may overlook much information that explains the brain’s cognitive function. In this paper, we propose a relatively inert network (RIN) and try to explore its important role in understanding the cognitive mechanism of the brain and the study of mental diseases, using adult attention deficit hyperactivity disorder (ADHD) as an example. Here, we utilize methods based on group independent component analysis (GICA) and t-test to identify RIN and calculate its corresponding time series. Through experiments, alterations in the RIN and the corresponding activation network (AN) in adult ADHD patients are observed. And compared with those in the left brain, the activation changes in the right brain are greater. Further, when the RIN functional connectivity is introduced as a feature to classify adult ADHD patients from healthy controls (HCs), the classification accuracy rate is 12% higher than that of the original functional connectivity feature. This was also verified by testing on an independent public dataset. These findings confirm that the RIN of the brain contains much information that will probably be neglected. Moreover, this research provides an effective new means of exploring the information integration between brain regions and the diagnosis of mental illness.

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Brain state-dependent dynamic functional connectivity patterns in attention-deficit/hyperactivity disorder

Cited by 20 publications

References 44 publications

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

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

Dynamic Functional Connectivity Reveals Abnormal Variability in the Amygdala Subregions of Children With Attention-Deficit/Hyperactivity Disorder

Brain Relatively Inert Network: Taking Adult Attention Deficit Hyperactivity Disorder as an Example

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