ArticleFrontiers in neuroscience2022
Altered Neural Network Connectivity Predicts Depression in
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Early functional network alterations predict motor and cognitive decline in parkinson's disease.Scientific reports · 2025Article
- Serum sirtuin 3 levels and multimodal abnormalities in brain structure and function in Parkinson's disease patients with depression.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Resting-State Functional MRI Approaches to Parkinsonisms and Related Dementia.Current neurology and neuroscience reports · 2024Review
- Shared and unique alterations of large-scale network connectivity in drug-free adolescent-onset and adult-onset major depressive disorder.Translational psychiatry · 2024Article
- Drooling disrupts the brain functional connectivity network in Parkinson's disease.CNS neuroscience & therapeutics · 2023Article
- Disruption of locus coeruleus-related functional networks in Parkinson's disease.NPJ Parkinson's disease · 2023Article
- The pathobiological basis of depression in Parkinson disease: challenges and outlooks.Journal of neural transmission (Vienna, Austria : 1996) · 2022Review
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Depression, one of the most frequent non-motor symptoms in Parkinson's disease (PD), was proposed to be related to neural network dysfunction in advanced PD patients. However, the underlying mechanisms in the early stage remain unclear. The study was aimed to explore the alterations of large-scale neural networks in Methods: We performed independent component analysis (ICA) on the data of resting-state functional magnetic resonance imaging from 21 Results: We observed an ordered decrease of connectivity among groups within the ventral attention network (VAN) (dPD < ndPD < HCs), mainly located in the left middle temporal cortex. Besides, dPD patients exhibited hypoconnectivity between the auditory network (AUD) and default mode network (DMN) or VAN compared to ndPD patients or healthy controls. Correlation analysis revealed that depression severity was negatively correlated with connectivity value within VAN and positively correlated with the connectivity value of AUD-VAN in dPD patients, respectively. Further analysis showed that the area under the curve (AUC) for dPD prediction was 0.863 when combining the intranetwork connectivity in VAN and internetwork connectivity in AUD-DMN and AUD-VAN. Conclusion: Our results demonstrated that early dPD may be associated with abnormality of attention bias and especially auditory attention processing. Altered neural network connectivity is expected to be a potential neuroimaging biomarker to predict depression in PD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.