Altered Dynamic Functional Connectivity in de novo Parkinson’s Disease Patients With Depression

Xu, Jianxia; Yu, Miao; Wang, Hui; Li, Yuqian; Li, Lanting; Ren, Jingru; Pan, Chenxi; Liu, Weiguo

doi:10.3389/fnagi.2021.789785

Cited by 12 publications

(15 citation statements)

References 65 publications

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“…For example, Parkinson’s and associated diseases (i.e. Parkinson’s disease mild cognitive impairment – PDM; Parkinson’s disease dementia - PDD) are characterized by altered temporal properties in dynamic connectivity (Díez-Cirarda et al, 2018; Fiorenzato et al, 2019; Kim et al, 2017; Xu et al, 2021). Previous work found decreased mean dwell time in segregated within-network connectivity states and increased brain state transitions in PD and PDM compared to matched control participants (Díez-Cirarda et al, 2018; Kim et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Next, we obtained the global and local efficiency at each sparsity threshold. We applied an area under the curve (AUC) approach to avoid specific threshold selection (Kim et al, 2017; Navalpotro-Gomez et al, 2020; Xu et al, 2021). Finally, as suggested by Kim et al (Kim et al, 2017), we calculated the variance of the global and local efficiency over time to examine dynamic graph properties differences of younger and older participants and compared these metrics using Wilcoxon rank-sum test.…”

Section: Methodsmentioning

confidence: 99%

Section: Dynamic Topological Metrics: Global and Local Efficiency Dif...mentioning

confidence: 99%

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Age-dependent changes in the dynamic functional organization of the brain at rest – a cross-cultural replication approach

Yang¹,

Zhou

Xin

et al. 2022

Preprint

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Age-associated changes in brain function play an important role in the development of neurodegenerative diseases. Although previous work has examined age-related changes in static functional connectivity (FC), accumulating evidence suggests that advancing age is especially associated with alterations in the dynamic interactions and transitions between different brain states, which hitherto has received less attention. Moreover, conclusions of previous studies in this domain are limited by suboptimal replicability of resting state fMRI and culturally homogenous cohorts. Here, we investigate the robustness of age-associated changes in dynamic functional connectivity (dFC) by capitalizing on the availability of fMRI cohorts from two cultures (Western European and Chinese). In both cohorts we consistently identify two distinct connectivity states: a more frequent segregated within-network connectivity state (state I) and a less frequent integrated between-network connectivity state (state II). In both cohorts, older (55-80 years) compared to younger participants (20-35 years) exhibited lower occurrence of and spent less time in state I. Moreover, older participants tended to exhibit more transitions between networks and greater variance in global efficiency. Overall, our cross-cultural replication of age-associated changes in key dFC metrics implies that advancing age is robustly associated with a reorganization of dynamic brain activation that favors the use of less functionally-specific networks.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Age-dependent changes in the dynamic functional organization of the brain at rest – a cross-cultural replication approach

Yang¹,

Zhou

Xin

et al. 2022

Preprint

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show abstract

“…Our findings showed abnormal temporal property of local neural activity in the visual, sensorimotor, and cognitive systems in PD, which was consistent with the previous studies. For example, the previous fMRI studies that calculated the variability of brain signal across time found abnormal variance in visual [47][48][49] , sensorimotor 47,50 , and frontal 51,52 regions in PD. Some studies also found that the symptom severity of PD significantly correlated with such abnormal variability in the visual and sensorimotor regions.…”

Section: Discussionmentioning

confidence: 99%

Abnormal intrinsic neural timescale and reduced grey matter volume in Parkinson’s disease

Wei

Zhang

Peng

et al. 2022

Preprint

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Background: The intrinsic neural timescale in a local brain area has been specialized, and the sensory and prefrontal areas have shorter and longer timescales, respectively. Parkinson's disease (PD) is a progressive neurological disorder that also exhibits with abnormal neural activity in sensorimotor, visual, and cognitive-related areas. However, it was unclear whether PD patients exhibited abnormal intrinsic timescales and whether PD patients exhibited different temporal feature at different stages. Methods: Here, we estimated the intrinsic timescales using the magnitude of the autocorrelation of intrinsic neural signals by resting state functional magnetic resonance imaging data in 74 PD patients, including 44 patients in the early stage (PD-ES) and 30 patients in the late stage (PD-LS), and 73 healthy controls (HC). Results: We identified that the PD group had shorter timescales in bilateral lingual and calcarine gyri, bilateral postcentral and precentral gyri, and the right middle cingulum gyrus than the HC group, which correlated with the age, but not in the HC group. Moreover, shorter timescales in the PD group also correlated with the symptom severity and reduced grey matter volume (GMV). Longer timescale in the right middle frontal gyrus was also found in the PD group than that in the HC group. Increasingly, compared to the HC group, the PD-ES group had longer timescales in the anterior cortical regions, including the left superior and inferior frontal gyri, and the right middle frontal gyrus, whereas the PD-LS group had shorter timescales in the posterior cortical regions, including bilateral calcarine and lingual gyri, which accompanied with more serious cognitive impairments and reduced GMV. Conclusions: Our findings suggest that PD patients exhibit abnormal intrinsic timescales in visual, sensorimotor, and cognitive systems, which might provide new insights for the neural substrate of PD. Distinct patterns of intrinsic timescales in cerebral cortex between the PD-LS and PD-ES groups indicate that intrinsic timescale might be a new neuroimaging biomarker across disease stage in PD.

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“…In de novo PD patients with depression, altered network connection involving the default mode network and cognitive executive network may contribute to depression (Xu et al 2022b ). Likewise, altered neural network connectivity within the ventral attention network in the left middle temporal cortex, the auditory and default mode networks may predict depression in de novo PD (Xu et al 2022a ).…”

Section: Dpd and Brain Circuit Disturbancesmentioning

confidence: 99%

The pathobiological basis of depression in Parkinson disease: challenges and outlooks

Ka¹

2022

J Neural Transm

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Depression, with an estimated prevalence of about 40% is a most common neuropsychiatric disorder in Parkinson disease (PD), with a negative impact on quality of life, cognitive impairment and functional disability, yet the underlying neurobiology is poorly understood. Depression in PD (DPD), one of its most common non-motor symptoms, can precede the onset of motor symptoms but can occur at any stage of the disease. Although its diagnosis is based on standard criteria, due to overlap with other symptoms related to PD or to side effects of treatment, depression is frequently underdiagnosed and undertreated. DPD has been related to a variety of pathogenic mechanisms associated with the underlying neurodegenerative process, in particular dysfunction of neurotransmitter systems (dopaminergic, serotonergic and noradrenergic), as well as to disturbances of cortico-limbic, striato-thalamic-prefrontal, mediotemporal-limbic networks, with disruption in the topological organization of functional mood-related, motor and other essential brain network connections due to alterations in the blood–oxygen-level-dependent (BOLD) fluctuations in multiple brain areas. Other hypothetic mechanisms involve neuroinflammation, neuroimmune dysregulation, stress hormones, neurotrophic, toxic or metabolic factors. The pathophysiology and pathogenesis of DPD are multifactorial and complex, and its interactions with genetic factors, age-related changes, cognitive disposition and other co-morbidities awaits further elucidation.

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Altered Dynamic Functional Connectivity in de novo Parkinson’s Disease Patients With Depression

Cited by 12 publications

References 65 publications

Age-dependent changes in the dynamic functional organization of the brain at rest – a cross-cultural replication approach

Age-dependent changes in the dynamic functional organization of the brain at rest – a cross-cultural replication approach

Abnormal intrinsic neural timescale and reduced grey matter volume in Parkinson’s disease

The pathobiological basis of depression in Parkinson disease: challenges and outlooks

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