ArticleFrontiers in aging neuroscience2015
Aberrant Brain Network Efficiency in Parkinson's Disease Patients with Tremor: A Multi-Modality Study.
Article in Frontiers in aging neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Altered brain connectivity in hyperkinetic movement disorders: A review of resting-state fMRI.NeuroImage. Clinical · 2023Pooled it
- Structural covariance analysis for neurodegenerative and neuroinflammatory brain disorders.Brain : a journal of neurology · 2025Review
- Changes of brain structure and structural covariance networks in Parkinson's disease with different sides of onset.Frontiers in aging neuroscience · 2025Article
- Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome.IEEE journal of translational engineering in health and medicine · 2024Article
- Unique Brain Network Identification Number for Parkinson's and Healthy Individuals Using Structural MRI.Brain sciences · 2023Article
- Locating causal hubs of memory consolidation in spontaneous brain network in male mice.Nature communications · 2023Article
- Age and sex differentially shape brain networks in Parkinson's disease.CNS neuroscience & therapeutics · 2023Article
- A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson's Disease: Past Studies and Future Perspectives.Diagnostics (Basel, Switzerland) · 2022Review
- Morphologic brain network predicts levodopa responsiveness in Parkinson disease.Frontiers in aging neuroscience · 2022Article
- Using deep learning to classify pediatric posttraumatic stress disorder at the individual level.BMC psychiatry · 2021Article
- Topologically convergent and divergent morphological gray matter networks in early-stage Parkinson's disease with and without mild cognitive impairment.Human brain mapping · 2021Article
- Combining Deep Learning and Graph-Theoretic Brain Features to Detect Posttraumatic Stress Disorder at the Individual Level.Diagnostics (Basel, Switzerland) · 2021Article
- Disrupted morphological grey matter networks in early-stage Parkinson's disease.Brain structure & function · 2021Article
- Exploring memory function in earthquake trauma survivors with resting-state fMRI and machine learning.BMC psychiatry · 2020Article
- Abnormal Topological Organization of Sulcal Depth-Based Structural Covariance Networks in Parkinson's Disease.Frontiers in aging neuroscience · 2020Article
- Rhythmic auditory cues shape neural network recruitment in Parkinson's disease during repetitive motor behavior.The European journal of neuroscience · 2019Article
- Levodopa response differs in Parkinson's motor subtypes: A task-based effective connectivity study.The Journal of comparative neurology · 2017Article
- Altered Topological Properties of Brain Networks in Social Anxiety Disorder: A Resting-state Functional MRI Study.Scientific reports · 2017Article
- Altered Functional Brain Connectomes between Sporadic and Familial Parkinson's Patients.Frontiers in neuroanatomy · 2017Article
- Prediction of Biological Motion Perception Performance from Intrinsic Brain Network Regional Efficiency.Frontiers in human neuroscience · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coordination of spontaneous brain activity is widely enhanced relative to compensation activity in Parkinson's disease (PD) with tremor; however, the associated topological organization remains unclear. This study collected magnetic resonance imaging data from 36 participants [i.e., 16 PD patients and 20 matched normal controls (NCs)] and constructed wavelet-based functional and morphological brain networks for individual participants. Graph-based network analysis indicated that the information translation efficiency in the functional brain network was disrupted within the wavelet scale 2 (i.e., 0.063-0.125 Hz) in PD patients. Compared with the NCs, the network local efficiency was decreased and the network global efficiency was increased in PD patients. Network local efficiency could effectively discriminate PD patients from the NCs using multivariate pattern analysis, and could also describe the variability of tremor based on a multiple linear regression model (MLRM). However, these observations were not identified in the network global efficiency. Notably, the global and local efficiency were both significantly increased in the morphological brain network of PD patients. We further found that the global and local network efficiency both worked well on PD classifications (i.e., using MVPA) and clinical performance descriptions (i.e., using MLRM). More importantly, functional and morphological brain networks were highly associated in terms of network local efficiency in PD patients. This study sheds lights on network disorganization in PD with tremor and helps for understanding the neural basis underlying this type of PD.
Indexed as
Identifiers
What OpenQuestion holds
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.