Altered Integration of Structural Covariance Networks in Young Children With Type 1 Diabetes

Hosseini, S. M. Hadi; Mazaika, Paul K.; Mauras, Nelly; Buckingham, Bruce A.; Weinzimer, Stuart A.; Tsalikian, Eva; White, Neil H.; Reiss, Allan L.

doi:10.1002/hbm.23293

Cited by 27 publications

(30 citation statements)

References 84 publications

(153 reference statements)

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“…Consistent with this notion, several studies [5,6], including research from our group [7–13], have observed altered brain structure in children with T1D relative to age- and sex-matched healthy controls. Cross-sectional investigations indicate that these changes originate shortly after diagnosis and last well into adulthood [14,15].…”

Section: Introductionsupporting

confidence: 81%

Executive task-based brain function in children with type 1 diabetes: An observational study

et al. 2019

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BackgroundOptimal glycemic control is particularly difficult to achieve in children and adolescents with type 1 diabetes (T1D), yet the influence of dysglycemia on the developing brain remains poorly understood.Methods and findingsUsing a large multi-site study framework, we investigated activation patterns using functional magnetic resonance imaging (fMRI) in 93 children with T1D (mean age 11.5 ± 1.8 years; 45.2% female) and 57 non-diabetic (control) children (mean age 11.8 ± 1.5 years; 50.9% female) as they performed an executive function paradigm, the go/no-go task. Children underwent scanning and cognitive and clinical assessment at 1 of 5 different sites. Group differences in activation occurring during the contrast of “no-go > go” were examined while controlling for age, sex, and scan site. Results indicated that, despite equivalent task performance between the 2 groups, children with T1D exhibited increased activation in executive control regions (e.g., dorsolateral prefrontal and supramarginal gyri; p = 0.010) and reduced suppression of activation in the posterior node of the default mode network (DMN; p = 0.006). Secondary analyses indicated associations between activation patterns and behavior and clinical disease course. Greater hyperactivation in executive control regions in the T1D group was correlated with improved task performance (as indexed by shorter response times to correct “go” trials; r = −0.36, 95% CI −0.53 to −0.16, p < 0.001) and with better parent-reported measures of executive functioning (r values < −0.29, 95% CIs −0.47 to −0.08, p-values < 0.007). Increased deficits in deactivation of the posterior DMN in the T1D group were correlated with an earlier age of T1D onset (r = −0.22, 95% CI −0.41 to −0.02, p = 0.033). Finally, exploratory analyses indicated that among children with T1D (but not control children), more severe impairments in deactivation of the DMN were associated with greater increases in hyperactivation of executive control regions (T1D: r = 0.284, 95% CI 0.08 to 0.46, p = 0.006; control: r = 0.108, 95% CI −0.16 to 0.36, p = 0.423). A limitation to this study involves glycemic effects on brain function; because blood glucose was not clamped prior to or during scanning, future studies are needed to assess the influence of acute versus chronic dysglycemia on our reported findings. In addition, the mechanisms underlying T1D-associated alterations in activation are unknown.ConclusionsThese data indicate that increased recruitment of executive control areas in pediatric T1D may act to offset diabetes-related impairments in the DMN, ultimately facilitating cognitive and behavioral performance levels that are equivalent to that of non-diabetic controls. Future studies that examine whether these patterns change as a function of improved glycemic control are warranted.

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Section: Introductionsupporting

confidence: 81%

Executive task-based brain function in children with type 1 diabetes: An observational study

et al. 2019

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“…Such researches have promoted the quantification of anatomical links among cortical parcellations based on inter-regional covariation of various morphometric features, such as CT. A vital assumption underlying structural covariance networks (SCNs) is that the morphological characteristics of inter-areal gray matter would covary since they share common development, maturation and disease propagation effects (Raznahan et al, 2011; Alexander-Bloch et al, 2013; DuPre and Spreng, 2017; Liu et al, 2019). It has also been reported that SCNs correspond with anatomical and functional networks constructed through white matter tractography (Hosseini et al, 2016; Bruno et al, 2017).…”

Section: Introductionmentioning

confidence: 79%

Abnormal Gray Matter Structural Covariance Networks in Children With Bilateral Cerebral Palsy

Liu

Jiang

Bi³

et al. 2019

Front. Hum. Neurosci.

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Bilateral cerebral palsy (BCP) is a common movement disorder in children, which often results in lifelong motor disability. One main symptom of BCP is the limitation of hand function in everyday activities. However, the neuroanatomical basis of this prominent hand impairment is yet to discover. Recent advances mainly focus on the lesions of BCP, but the views on the atypical development of cortical parcellations are extremely lacking. Here, in our study, neuroimaging with network analysis was employed to evaluate the changes of structural covariance networks (SCNs) in BCP children. We aimed to elucidate the alteration of SCNs based on cortical thickness (CT), and to reveal the relationship of CT and hand function in the participants with BCP. SCNs were constructed using covariance between regional CT, which was acquired from T1-weighted images of 19 children with BCP and 19 demographically matched healthy controls (HCs). Compared with HCs, BCP children showed increased CT in several regions involving the bilateral areas (lateral occipital, lingual, and fusiform) and right areas (cuneus, pericalcarine, inferior temporal, middle temporal, superior temporal, and insula). Decreased CT was found in the left superior temporal and right superior parietal cortices. Global network analyses revealed significantly decreased normalized clustering and small-worldness in the BCP network. The area under the curve (AUC) of global network measures varied slightly between the BCP and HC networks. The resistance of the both SCNs to the target and random attack showed no significant difference. Also, the BCP foci (right superior temporal and subtemporal cortex) showed a significantly negative correlation between the CT and manual ability. In this work, we identified the CT-based SCNs changes in children with BCP. The abnormal topological organization of SCNs was revealed, indicating abnormal CT, incongruous development of structural wiring, destructive nodal profiles of betweenness, and moved hub distribution in BCP children. This may provide a neuroanatomical hallmark of BCP in the developing brain. Therefore, our results may not only reflect neurodevelopmental aberrations but also compensatory mechanisms.

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“…D max was set to 0.5 given that above this threshold the graphs become increasingly random . Within the adjacency matrix A , the diagonal elements (ie, self‐connections) and negative correlations were set to 0 since the biological meaning of negative correlations in structural correlation networks is unclear . Binary association matrices were used given the methodological concerns when comparing weighted matrices .…”

Section: Methodsmentioning

confidence: 99%

“…41,44 Within the adjacency matrix A, the diagonal elements (ie, self-connections) and negative correlations were set to 0 since the biological meaning of negative correlations in structural correlation networks is unclear. 28,45 Binary association matrices were used given the methodological concerns when comparing weighted matrices. 46 Adjacency matrix A represented a binary undirected graph G in which i and j were connected if g ij was equal to 1.…”

Section: Structural Network Constructionmentioning

confidence: 99%

“…[17][18][19] In addition to conventional univariate analysis, more recently developed graph theoretical analysis approaches for neuroimaging data allow the sophisticated investigation of anatomical regions and their interconnections, resulting in large-scale networks that provide a comprehensive description of the brain's structural connectivity, commonly referred to as the human connectome. 20 Accumulating neuroimaging evidence suggests structural large-scale connectivity alterations not only in primary brain disorders such as Alzheimer's disease, 21,22 epilepsy, 23,24 or schizophrenia, 25,26 but also in diseases with a rather secondary influence on the central nervous system, for example, breast cancer, 27 type 1 diabetes, 28 or HIV infection. 29 Whether these changes in network architecture and effectiveness reflect the general mental burden of illness or are associated with disease-specific aspects has not been well investigated so far.…”

Section: Introductionmentioning

confidence: 99%

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Aberrant brain structural large‐scale connectome in Crohn’s disease

Thomann

Reindl

Wüstenberg

et al. 2019

Neurogastroenterology Motil

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Background Disturbed brain‐gut interactions and a bidirectional relationship between inflammation and psychiatric symptoms such as anxiety and depression are being discussed in patients with inflammatory bowel diseases (IBD). Alterations of brain structure and function in IBD have been reported with heterogeneous results. Whether these changes reflect independent localized deficits or rather a systematic disruption in the anatomical organization of large‐scale brain networks remains unclear. The present study investigated the gray matter structural connectome in patients with Crohn's disease (CD). Methods Sixty participants (30 with quiescent CD and 30 matched healthy controls [HC]) underwent high‐resolution brain MRI at 3 Tesla. Well‐established graph theoretical metrics were analyzed at the global and regional network level and compared between groups. Key Results The networks in both groups followed a small‐world organization, that is, an architecture that is simultaneously highly segregated and integrated. However, transitivity, a measure of global network segregation, was significantly reduced in patients (P = 0.003). Regionally, patients showed a reduction of nodal betweenness centrality in the right insula and cuneus and the left superior frontal cortex and reduced nodal degree within the left‐hemispheric cingulate and the left lateral and right medial orbitofrontal cortex. Conclusion and Inferences These findings lend support to the hypothesis that CD is accompanied by alterations in both global network organization and regional connectivity. A deeper understanding of neural central networks in IBD may facilitate the development of complementary strategies in the treatment of “extraintestinal” comorbid conditions such as depression or anxiety.

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Altered Integration of Structural Covariance Networks in Young Children With Type 1 Diabetes

Cited by 27 publications

References 84 publications

Executive task-based brain function in children with type 1 diabetes: An observational study

Executive task-based brain function in children with type 1 diabetes: An observational study

Abnormal Gray Matter Structural Covariance Networks in Children With Bilateral Cerebral Palsy

Aberrant brain structural large‐scale connectome in Crohn’s disease

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