Reduced Modular Segregation of White Matter Brain Networks in Attention Deficit Hyperactivity Disorder

He, Wei; Liu, Weichen; Mao, Min; Cui, Xiaohong; Yan, Ting; Xiang, Jie; Wang, Bin; Li, Dandan

doi:10.1177/10870547221085505

Cited by 3 publications

(12 citation statements)

References 76 publications

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“…In addition, the striatum is thought to play an important role in ADHD symptomatology Cubillo et al, 2012). While the previous NBS studies shared some areas with our study, their findings focused on decreased segregation of the default and salience networks from other networks (Lin et al, 2018), and between areas encoding emotional and visual processing and the default mode network (He et al, 2022). Therefore, the results of the prior adult ADHD studies may represent different aspects of alterations in the brain network wiring.…”

Section: Network-based Statistics (Nbs)supporting

confidence: 51%

“…Although graph theory is becoming an increasingly common analytical approach in brain imaging, there are only few previously published structural MRI studies utilizing this approach in adults with ADHD and studying whole-brain topological features (He at al., 2022;Hearne et al, 2021;Sidlauskaite et al, 2015;Wang et al, 2021). While some previous studies have found global differences in adults with and without ADHD (He et al, 2022;Wang et al, 2021), others have come to a conclusion that ADHD related alterations are not seen in global topology (Hearne et al, 2021;Sidlauskaite et al, 2015). While the results of the present study bring more evidence to the latter, more studies are needed to demonstrate if there are more subtle subnetworks that characterize aberrant structural connectivity in adult ADHD.…”

Section: Graph-theoretical Analysismentioning

confidence: 99%

“…Previous research has revealed increased segregation and decreased integration of structural and functional networks, as well as regional (nodal) changes, in children, adolescents and young adults with ADHD (Beare et al, 2017;Cao et al, 2013;Cocchi et al, 2012;Griffiths et al, 2016;Tao et al, 2017). DW-MRI studies utilizing graph theory show both global (He et al, 2022;Wang et al, 2021) and local connectivity differences between adults with and without ADHD (He et al, 2022;Sidlauskaite et al, 2015;Wang et al, 2021). Sidlauskaite and colleagues (2015) reported local hypoconnectivity in parietal, temporal, occipital, and cerebellar areas, and local hyperconnectivity particularly in inferior prefrontal, thalamic, parietal, and occipital areas in adults with ADHD.…”

Section: Introductionmentioning

confidence: 99%

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Abnormal wiring of the structural connectome in adults with ADHD

Tolonen¹,

Roine²,

Alho³

et al. 2023

Preprint

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Current knowledge of the white matter changes in large-scale brain networks in adult attention deficit hyperactivity disorder (ADHD) is scarce. We collected diffusion-weighted magnetic resonance imaging data in 40 adults with ADHD and 36 neurotypical controls and used constrained spherical deconvolution based tractography to reconstruct whole-brain structural connectivity networks. We used network-based statistics (NBS) and graph theoretical analysis to investigate differences in these networks between the adults with ADHD and neurotypical controls. We also tested whether structural connectivity was related to ADHD symptoms or performance in a continuous performance test (CPT). NBS revealed two unilateral networks in which structural connectivity was decreased in the participants with ADHD compared to the neurotypical controls. These large-scale networks encompassed subcortical and corticocortical frontal, temporal, parietal and occipital structures, including parts of dorsal and ventral attention networks and visual and somatomotor systems. Graph theoretical analysis did not reveal global or local differences between the ADHD and control groups. We found no associations between structural connectivity and ADHD symptoms or CPT performance. In conclusion, our results suggest that abnormal structural wiring of the brain in adult ADHD is manifested as widespread intrahemispheric hypoconnectivity in brain networks previously associated with ADHD in functional neuroimaging studies.

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Section: Network-based Statistics (Nbs)supporting

confidence: 51%

Section: Graph-theoretical Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Abnormal wiring of the structural connectome in adults with ADHD

Tolonen¹,

Roine²,

Alho³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…To our knowledge, so far only two studies of adult ADHD have utilized NBS together with DW-MRI. He and colleagues (2022) found increased connectivity in the ADHD group in relation to NT controls between several regions including subcortical structures such as amygdala, thalamus and putamen, and medial, frontal and orbital cortical regions. On the other hand, Hearne and colleagues (2021) found no significant networks differentiating adults with ADHD from NT controls.…”

Section: Introductionmentioning

confidence: 86%

Abnormal wiring of the structural connectome in adults with ADHD

Tolonen

Roine

Alho

et al. 2023

Network Neuroscience

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Current knowledge of white matter changes in large-scale brain networks in adult attention deficit hyperactivity disorder (ADHD) is scarce. We collected diffusion-weighted magnetic resonance imaging data in 40 adults with ADHD and 36 neurotypical controls and used constrained spherical deconvolution based tractography to reconstruct whole-brain structural connectivity networks. We used network-based statistic (NBS) and graph theoretical analysis to investigate differences in these networks between the ADHD and control groups, as well as associations between structural connectivity and ADHD symptoms assessed with the Adult ADHD Self-Report Scale or performance in the Conners Continuous Performance Test 2 (CPT-2). NBS revealed decreased connectivity in the ADHD group compared to the neurotypical controls in widespread unilateral networks, which included subcortical and corticocortical structures and encompassed dorsal and ventral attention networks and visual and somatomotor systems. Furthermore, hypoconnectivity in a predominantly left-frontal network was associated with higher amount of commission errors in CPT-2. Graph theoretical analysis did not reveal topological differences between the groups or associations between topological properties and ADHD symptoms or task performance. Our results suggest that abnormal structural wiring of the brain in adult ADHD is manifested as widespread intrahemispheric hypoconnectivity in networks previously associated with ADHD in functional neuroimaging studies.

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“…Using the PC, neuroimaging research has suggested atypical modular segregation in patients with various psychiatric disorders. For instance, He et al found that participants with attention‐deficit/hyperactivity disorder had lower modular segregation of white matter networks (He et al, 2022). Notably, Ma et al reported reduced modular segregation in the FPN, SMN, visual, and subcortical modules across patients with schizophrenia, bipolar disorder, and major depressive disorder (Ma et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Aberrant modular segregation of brain networks in female patients with bulimia nervosa

Lan

Zhu

et al. 2023

Intl J Eating Disorders

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Objective Bulimia nervosa (BN) is an eating disorder associated with the dysfunction of intrinsic brain networks. However, whether the network disruptions in BN patients manifest as dysconnectivity or imbalances of network modular segregation remains unclear. Method We collected data from 41 women with BN and 41 matched healthy control (HC) women. We performed graph theory analysis based on resting‐state functional magnetic resonance imaging (RS‐fMRI) data; then, we computed the participation coefficient (PC) among brain modules to characterize the modular segregation for the BN and HC groups. The number of intra‐ and inter‐modular connections was calculated to explain the PC changes. Additionally, we examined the potential associations of the measures mentioned above with clinical variables within the BN group. Results Compared with the HC group, the BN group showed significantly decreased PC in the fronto‐parietal network (FPN), cingulo‐opercular network (CON), and cerebellum (Cere). Additionally, the number of intra‐modular connections of the default mode network (DMN) and the number of the inter‐modular connections between the DMN and CON, FPN and Cere, and CON and Cere in the BN group were lower than those in the HC group. The nodal level analysis showed that the BN group had a decreased PC of the anterior prefrontal cortex (aPFC), dorsal frontal cortex (dFC), inferior parietal lobule (IPL), thalamus, and angular gyrus. Further, these metrics were significantly correlated with clinical variables in the BN group. Discussion These findings may provide novel insights to capture atypical topologies associated with pathophysiology mechanisms and clinical symptoms underlying BN.

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Reduced Modular Segregation of White Matter Brain Networks in Attention Deficit Hyperactivity Disorder

Cited by 3 publications

References 76 publications

Abnormal wiring of the structural connectome in adults with ADHD

Abnormal wiring of the structural connectome in adults with ADHD

Abnormal wiring of the structural connectome in adults with ADHD

Aberrant modular segregation of brain networks in female patients with bulimia nervosa

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