Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations

Ottet, Marie-Christine; Schaer, Marie; Debbané, Martin; Cammoun, Leila; Thiran, Jean-Philippe; Eliez, Stéphan

doi:10.3389/fnhum.2013.00402

Cited by 64 publications

(61 citation statements)

References 69 publications

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“…This is in line with previous results showing an increased brain network segregation in 22q11DS using DTI (Ottet et al, 2013). A similar increase in modularity has also been previously described in autism (Barttfeld et al, 2011), Parkinson's disease (Baggio et al, 2014 and in children with frontal lobe epilepsy (Vaessen et al, 2013), and was associated with poorer cognitive capacities in the latter two studies.…”

Section: Segregation Between Modules Is Increased In 22q11dssupporting

confidence: 92%

Large-scale functional network reorganization in 22q11.2 deletion syndrome revealed by modularity analysis

Scariati

Schaer

Karahanoğlu

et al. 2016

Cortex

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The 22q11.2 deletion syndrome (22q11DS) is associated with cognitive impairments and a 41% risk of developing schizophrenia. While several studies performed on patients with 22q11DS showed the presence of abnormal functional connectivity in this syndrome, how these alterations affect large-scale network organization is still unknown. Here we performed a network modularity analysis on whole-brain functional connectomes derived from the resting-state fMRI of 40 patients with 22q11DS and 41 healthy control participants, aged between 9 and 30 years old. We then split the sample at 18 years old to obtain two age subgroups and repeated the modularity analyses. We found alterations of modular communities affecting the visuo-spatial network and the anterior cingulate cortex (ACC) in both age groups. These results corroborate previous structural and functional studies in 22q11DS that showed early impairment of visuo-spatial processing regions. Furthermore, as ACC has been linked to the development of psychotic symptoms in 22q11DS, the early impairment of its functional connectivity provide further support that ACC alterations may provide potential biomarkers for an increased risk of schizophrenia. Finally, we found an abnormal modularity partition of the dorsolateral prefrontal cortex (DLPFC) only in adults with 22q11DS, suggesting the presence of an abnormal development of functional network communities during adolescence in 22q11DS.

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Section: Segregation Between Modules Is Increased In 22q11dssupporting

confidence: 92%

Large-scale functional network reorganization in 22q11.2 deletion syndrome revealed by modularity analysis

Scariati

Schaer

Karahanoğlu

et al. 2016

Cortex

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“…4). Fronto-temporal white matter tracts alterations (Ottet et al 2013a;Barnea-Goraly et al 2003) and their relationship with psychotic symptoms (da Silva et al 2011;Ottet et al 2013b) in the 22q11DS population further sustain this hypothesis.…”

Section: Identification Of Patients With Psychotic Symptoms Within Thmentioning

confidence: 63%

Identifying 22q11.2 Deletion Syndrome and Psychosis Using Resting-State Connectivity Patterns

et al. 2014

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The clinical picture associated with 22q11.2 deletion syndrome (22q11DS) includes mild mental retardation and an increased risk of schizophrenia. While the clinical phenotype has been related to structural brain network alterations, there is only scarce information about functional connectivity in 22q11DS. However, such studies could lead to a better comprehension of the disease and reveal potential biomarkers for psychosis. A connectivity decoding approach was used to discriminate between 42 patients with 22q11DS and 41 controls using resting-state connectivity. The same method was then applied within the 22q11DS group to identify brain connectivity patterns specifically related to the presence of psychotic symptoms. An accuracy of 84 % was achieved in differentiating patients with 22q11DS from controls. The discriminative connections were widespread, but predominantly located in the bilateral frontal and right temporal lobes, and were significantly correlated to IQ. An 88 % accuracy was obtained for identification of existing psychotic symptoms within the patients group. The regions containing most discriminative connections included the anterior cingulate cortex (ACC), the left superior temporal and the right inferior frontal gyri. Functional connectivity alterations in 22q11DS affect mostly frontal and right temporal lobes and are related to the syndrome's mild mental retardation. These results also provide evidence that resting-state connectivity can potentially become a biomarker for psychosis and that ACC plays an important role in the development of psychotic symptoms.

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“…A node was first ranked separately for each measure with a score between 1 and 90, with 90 as the highest possible score for each category if a node has highest nodal degree or highest betweeness centrality or lowest clustering coefficient. The nodes with the top 20% of the rank sum score (18 of 90 total nodes) were classified as hub nodes, representing the brain regions that were most highly connected, most central, and least clustered [Ottet et al 2013]. …”

Section: Methodsmentioning

confidence: 99%

Structural connectivity abnormality in children with acute mild traumatic brain injury using graph theoretical analysis

Yuan

Wade

Babcock

2014

Human Brain Mapping

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The traumatic biomechanical forces associated with mild traumatic brain injury (mTBI) typically impart diffuse, as opposed to focal, brain injury potentially disrupting the structural connectivity between neural networks. Graph theoretical analysis using diffusion tensor imaging was used to assess injury-related differences in structural connectivity between 23 children (age 11–16 years) with mTBI and 20 age-matched children with isolated orthopedic injuries (OI) scanned within 96 h postinjury. The distribution of hub regions and the associations between alterations in regional network measures and symptom burden, as assessed by the postconcussion symptom scale score (PCSS), were also examined. In comparison to the OI group, the mTBI group was found to have significantly higher small-worldness (P < 0.0001), higher normalized clustering coefficients (P < 0.0001), higher normalized characteristic path length (P =0.007), higher modularity (P =0.0005), and lower global efficiency (P < 0.0001). A series of hub regions in the mTBI group were found to have significant alterations in regional network measures including nodal degree, nodal clustering coefficient, and nodal betweenness centrality. Correlation analysis showed that PCSS total score acquired at the time of imaging was significantly associated with the nodal degree of two hubs, the superior frontal gyrus at orbital section and the middle frontal gyrus. These findings provide new evidence of acute white matter alteration at both global and regional network level following mTBI in children furthering our understanding of underlying mechanisms of acute neurological insult associated with mTBI.

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Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations

Cited by 64 publications

References 69 publications

Large-scale functional network reorganization in 22q11.2 deletion syndrome revealed by modularity analysis

Large-scale functional network reorganization in 22q11.2 deletion syndrome revealed by modularity analysis

Identifying 22q11.2 Deletion Syndrome and Psychosis Using Resting-State Connectivity Patterns

Structural connectivity abnormality in children with acute mild traumatic brain injury using graph theoretical analysis

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