Altered modular organization of intrinsic brain functional networks in patients with Parkinson’s disease

Ma, Qing; Huang, Biao; Wang, Jinhui; Seger, Carol A.; Yang, Wenjing; Li, Changhong; Wang, Junjing; Feng, Jieying; Weng, Ling; Jiang, Wenjie; Huang, Ruiwang

doi:10.1007/s11682-016-9524-7

Cited by 32 publications

(25 citation statements)

References 69 publications

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“…Regarding global topologic properties, clustering coefficient, global efficiency, and local efficiency were decreased whereas characteristic path length was increased in patients with PD compared with HC participants, which suggested that the networks in patients with PD were less locally specialized and less globally integrated. These results are consistent with recent structural and functional connectome studies (27,28) in which brain networks of early-to-mid clinical stage PD showed decreased local specialization and global integration. However, others (8) report decreased local specialization (indicated by decreased clustering coefficient and local efficiency) and maintained global integration in the brain functional network of early-stage PD.…”

Section: Figuresupporting

confidence: 92%

Functional Brain Connectome and Its Relation to Hoehn and Yahr Stage in Parkinson Disease

Suo¹,

Lei²,

Li³

et al. 2017

Radiology

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Purpose To use resting-state functional magnetic resonance (MR) imaging and graph theory approaches to investigate the brain functional connectome and its potential relation to disease severity in Parkinson disease (PD). Materials and Methods This case-control study was approved by the local research ethics committee, and all participants provided informed consent. There were 153 right-handed patients with PD and 81 healthy control participants recruited who were matched for age, sex, and handedness to undergo a 3-T resting-state functional MR examination. The whole-brain functional connectome was constructed by thresholding the Pearson correlation matrices of 90 brain regions, and the topologic properties were analyzed by using graph theory approaches. Nonparametric permutation tests were used to compare topologic properties, and their relationship to disease severity was assessed. Results The functional connectome in PD showed abnormalities at the global level (ie, decrease in clustering coefficient, global efficiency, and local efficiency, and increase in characteristic path length) and at the nodal level (decreased nodal centralities in the sensorimotor cortex, default mode, and temporal-occipital regions; P < .001, false discovery rate corrected). Further, the nodal centralities in left postcentral gyrus and left superior temporal gyrus correlated negatively with Unified Parkinson's Disease Rating Scale III score (P = .038, false discovery rate corrected, r = -0.198; and P = .009, false discovery rate corrected, r = -0.270, respectively) and decreased with increasing Hoehn and Yahr stage in patients with PD. Conclusion The configurations of brain functional connectome in patients with PD were perturbed and correlated with disease severity, notably with those responsible for motor functions. These results provide topologic insights into understanding the neural functional changes in relation to disease severity of PD. RSNA, 2017 Online supplemental material is available for this article. An earlier incorrect version of this article appeared online. This article was corrected on September 11, 2017.

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Section: Figuresupporting

confidence: 92%

Functional Brain Connectome and Its Relation to Hoehn and Yahr Stage in Parkinson Disease

Suo¹,

Lei²,

Li³

et al. 2017

Radiology

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“…Lower FA characteristic path length and higher FA global efficiency are network metrics that describe greater network integration (Bullmore and Sporns, 2012). Previous studies have also shown a relationship between these global network metrics and neurocognitive function in persons with neurodegenerative disorders (Chang et al, 2016; Ma et al, 2017). It may be that higher neurocognitive function reflects increased integration within the structural brain network.…”

Section: Discussionmentioning

confidence: 73%

Structural connectome differences in HIV infection: brain network segregation associated with nadir CD4 cell count

et al. 2018

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This study investigated structural brain organization using diffusion tensor imaging (DTI) in 35 HIV-positive and 35 HIV-negative individuals. We used global and nodal graph theory metrics to investigate whether HIV was associated with differences in brain network organization based on fractional anisotropy (FA) and mean diffusivity (MD). Participants also completed a comprehensive neuropsychological testing battery. For global network metrics, HIV-positive individuals displayed a lower FA clustering coefficient relative to HIV-negative individuals. For nodal network metrics, HIV-positive individuals had less MD nodal degree in the left thalamus. Within HIV-positive individuals, the FA global clustering coefficient was positively correlated with nadir CD4 cell count. Across the sample, cognitive performance was negatively correlated with characteristic path length and positively correlated with global efficiency for FA. These results suggest that, despite management with combination antiretroviral therapy, HIV infection is associated with altered structural brain network segregation and thalamic centrality and that low nadir CD4 cell count may be a risk factor. These graph theory metrics may serve as neural biomarkers to identify individuals at risk for HIV-related neurological complications.

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“…No components significantly differed between groups during the No‐RAS or Fast tapping conditions. The results indicate that within‐network correlations were overall more strongly modulated by task conditions for Controls than for the PD group, which is consistent with studies that have found lower within network connectivity and decreased modular integrity in PD during the resting state (Zhang et al ., ; Ma et al ., ).…”

Section: Resultsmentioning

confidence: 97%

Rhythmic auditory cues shape neural network recruitment in Parkinson's disease during repetitive motor behavior

Braunlich

Seger

Jentink

et al. 2018

Eur J of Neuroscience

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It is well established clinically that rhythmic auditory cues can improve gait and other motor behaviors in Parkinson's disease (PD) and other disorders. However, the neural systems underlying this therapeutic effect are largely unknown. To investigate this question we scanned people with PD and age‐matched healthy controls using functional magnetic resonance imaging (fMRI). All subjects performed a rhythmic motor behavior (right hand finger tapping) with and without simultaneous auditory rhythmic cues at two different speeds (1 and 4 Hz). We used spatial independent component analysis (ICA) and regression to identify task‐related functional connectivity networks and assessed differences between groups in intra‐ and inter‐network connectivity. Overall, the control group showed greater intra‐network connectivity in perceptual and motor related networks during motor tapping both with and without rhythmic cues. The PD group showed greater inter‐network connectivity between the auditory network and the executive control network, and between the executive control network and the motor/cerebellar network associated with the motor task performance. We interpret our results as indicating that the temporal rhythmic auditory information may assist compensatory mechanisms through network‐level effects, reflected in increased interaction between auditory and executive networks that in turn modulate activity in cortico‐cerebellar networks.

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Altered modular organization of intrinsic brain functional networks in patients with Parkinson’s disease

Cited by 32 publications

References 69 publications

Functional Brain Connectome and Its Relation to Hoehn and Yahr Stage in Parkinson Disease

Functional Brain Connectome and Its Relation to Hoehn and Yahr Stage in Parkinson Disease

Structural connectome differences in HIV infection: brain network segregation associated with nadir CD4 cell count

Rhythmic auditory cues shape neural network recruitment in Parkinson's disease during repetitive motor behavior

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