Gender-based analysis of cortical thickness and structural connectivity in Parkinson’s disease

Yadav, Santosh K.; Kathiresan, Nagarajan; Mohan, Suyash; Vasileiou, Georgia; Singh, Anup; Kaura, Deepak; Melhem, Elias R.; Gupta, Rakesh Kumar; Wang, Ena; Marincola, Francesco M.; Borthakur, Arijitt; Haris, Mohammad

doi:10.1007/s00415-016-8265-2

Cited by 33 publications

(40 citation statements)

References 48 publications

(64 reference statements)

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“…For measuring the network difference between pediatric HIV patients and healthy controls, a non-parametric permutation test with 100 repetitions was performed. In each repetition, cortical and subcortical volumes (84 ROIs) were randomly reassigned to each individual from the two groups and association matrices were generated for each group ( Yadav et al, 2016 ). By thresholding the association matrices at a range of network densities, we estimated the binary adjacency matrices.…”

Section: Methodsmentioning

confidence: 99%

Altered structural brain changes and neurocognitive performance in pediatric HIV

Yadav¹,

Gupta²,

Garg³

et al. 2017

NeuroImage: Clinical

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Pediatric HIV patients often suffer with neurodevelopmental delay and subsequently cognitive impairment. While tissue injury in cortical and subcortical regions in the brain of adult HIV patients has been well reported there is sparse knowledge about these changes in perinatally HIV infected pediatric patients. We analyzed cortical thickness, subcortical volume, structural connectivity, and neurocognitive functions in pediatric HIV patients and compared with those of pediatric healthy controls. With informed consent, 34 perinatally infected pediatric HIV patients and 32 age and gender matched pediatric healthy controls underwent neurocognitive assessment and brain magnetic resonance imaging (MRI) on a 3 T clinical scanner. Altered cortical thickness, subcortical volumes, and abnormal neuropsychological test scores were observed in pediatric HIV patients. The structural network connectivity analysis depicted lower connection strengths, lower clustering coefficients, and higher path length in pediatric HIV patients than healthy controls. The network betweenness and network hubs in cortico-limbic regions were distorted in pediatric HIV patients. The findings suggest that altered cortical and subcortical structures and regional brain connectivity in pediatric HIV patients may contribute to deficits in their neurocognitive functions. Further, longitudinal studies are required for better understanding of the effect of HIV pathogenesis on brain structural changes throughout the brain development process under standard ART treatment.

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Section: Methodsmentioning

confidence: 99%

Altered structural brain changes and neurocognitive performance in pediatric HIV

Yadav¹,

Gupta²,

Garg³

et al. 2017

NeuroImage: Clinical

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“…Atrophy in basal ganglia, fronto-temporal regions, occipital lobe and cerebellum had been detected by DBM in PD patients with different stages (Borghammer et al, 2010 ; Zeighami et al, 2015 ) and, recently, DBM also explained the progressive atrophy of PD brains along disease exacerbation (Fereshtehnejad et al, 2017 ). Moreover, structural correlation network (SCN) proposes another sensitive avenue of research to explore brain development and diseases (He et al, 2007 , 2009 ; Zielinski et al, 2010 ; Pereira et al, 2015 ; Yadav et al, 2016 ). Reduced global efficiency and reorganization of network hub in SCN constructed by cortical thickness could be observed in PD patients with mild cognitive impairment (Pereira et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Brain Atrophy and Reorganization of Structural Network in Parkinson's Disease With Hemiparkinsonism

Guan

Guo

et al. 2018

Front. Hum. Neurosci.

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Hemiparkinsonism duration in patients with Parkinson's disease (PD) is a key time window to study early pathology of PD. We aimed to comprehensively explore the alterations of deformation and structural network in PD patients with hemiparkinsonism, which could potentially disclose the early biomarker for PD. Thirty-one PD patients with hemiparkinsonism and 37 age- and gender- matched normal controls were included in the present study. First of all, we normalized the left hemisphere of structural images as the contralateral side to the affected limbs. Deformation-based morphometry (DBM) was conducted to evaluate the brain atrophy and/or enlargement. structural networks were constructed by thresholding gray matter volume correlation matrices of 116 regions and analyzed using graph theoretical approaches (e.g., small-worldness, global, and nodal measures). Significantly decreased deformation values were observed in the temporoparietal regions like bilateral middle temporal gyri, ipsilateral precuneus and contralateral Rolandic operculum extending to supramarginal and postcentral gyri. Lower deformation values in contralateral middle temporal gyrus were negatively correlated with higher motor impairment which was dominated by akinesia/rigidity. Moreover, nodal reorganization of structural network mainly located in frontal, temporal, subcortex and cerebellum was bilaterally explored in PD patients with hemiparkinsonism. Increased nodal properties could be commonly observed in frontal lobes. Disruption of subcortex including basal ganglia and amygdala was detected by nodal local efficiency and nodal clustering coefficient. Twelve hubs, mainly from paralimbic-limbic and heteromodal networks, were disrupted and, alternatively, 14 hubs, most of which were located in frontal lobes, were additionally detected in PD patients with hemiparkinsonism. In conclusion, during hemiparkinsonism period, mild brain atrophy in the temporoparietal regions and widespread reorganization of structural network, e.g., enhanced frontal function and disruption of basal ganglia nodes, occurred in both hemispheres. With our data, we can also argue that MTG contralateral to the affected limbs (expressing clinically verified brain atrophy) might be a potential living biomarker to monitor disease progression. Therefore, the combination of DBM and structural network analyses can provide a comprehensive and sensitive evaluation for potential pathogenesis of early PD patients with hemiparkinsonism.

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“…Also, the effect of PD might differ between males and females (Gillies et al, 2014). Although adding age × disease and sex × disease interactions in the linear model did not reveal any significant interactions for the present data (not shown), several imaging studies have suggested that these interactions are non-negligible (Dean et al, 2016;Yadav et al, 2016). The absence of these FIGURE 9 | Correlation with UPDRS-III score in two representative ROIs.…”

Section: Discussionmentioning

confidence: 61%

Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding

et al. 2020

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Microstructure imaging by means of multidimensional diffusion encoding is increasingly applied in clinical research, with expectations that it yields a parameter that better correlates with clinical disability than current methods based on single diffusion encoding. Under the assumption that diffusion within a voxel can be well described by a collection of diffusion tensors, several parameters of this diffusion tensor distribution can be derived, including mean size, variance of sizes, orientational dispersion, and microscopic anisotropy. The information provided by multidimensional diffusion encoding also enables us to decompose the sources of the conventional fractional anisotropy and mean kurtosis. In this study, we explored the utility of the diffusion tensor distribution approach for characterizing white-matter degeneration in aging and in Parkinson disease by using double diffusion encoding. Data from 23 healthy older subjects and 27 patients with Parkinson disease were analyzed. Advanced age was associated with greater mean size and size variances, as well as smaller microscopic anisotropy. By analyzing the parameters underlying diffusion kurtosis, we found that the reductions of kurtosis in aging and Parkinson disease reported in the literature are likely driven by the reduction in microscopic anisotropy. Furthermore, microscopic anisotropy correlated with the severity of motor impairment in the patients with Parkinson disease. The present results support the use of multidimensional diffusion encoding in clinical studies and are encouraging for its future clinical implementation.

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Gender-based analysis of cortical thickness and structural connectivity in Parkinson’s disease

Cited by 33 publications

References 48 publications

Altered structural brain changes and neurocognitive performance in pediatric HIV

Altered structural brain changes and neurocognitive performance in pediatric HIV

Brain Atrophy and Reorganization of Structural Network in Parkinson's Disease With Hemiparkinsonism

Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding

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