ArticleNeuroImage. Clinical2017
Directional information flow in patients with Alzheimer's disease. A source-space resting-state MEG study.
Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Brain network analysis for the discrimination of dementia disorders using electrophysiology signals: A systematic review.Frontiers in aging neuroscience · 2023Pooled it
- A multifeature machine learning and resting-state EEG study reveals differences in beta oscillation in late-life depression with or without mild cognitive impairment.BMC psychiatry · 2026Article
- Recruitment patterns of hothubs and dark functional networks correlating activity and connectivity with magnetoencephalography.Scientific reports · 2026Article
- Linking EEG markers of oscillopathy and default mode network dysfunction in Alzheimer's disease.Frontiers in human neuroscience · 2026Review
- Causal role of medial superior frontal cortex on enhancing neural information flow and self-agency judgments in the self-agency network.NeuroImage · 2025Article
- Human Auditory-Motor Networks Show Frequency-Specific Phase-Based Coupling in Resting-State MEG.Human brain mapping · 2025Article
- Hub overload and failure as a final common pathway in neurological brain network disorders.Network neuroscience (Cambridge, Mass.) · 2024Review
- Decreasing alpha flow releases task-specific processing paths.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Alzheimer's disease as a fundamental disease of information processing systems: An information theory perspective.Frontiers in neuroscience · 2023Review
- Abnormal Information Flow in Schizophrenia Is Linked to Psychosis.Schizophrenia bulletin · 2022Article
- Edge-based network analysis reveals frequency-specific network dynamics in aberrant anxiogenic processing in rats.Network neuroscience (Cambridge, Mass.) · 2022Article
- Magnetoencephalography Imaging Reveals Abnormal Information Flow in Temporal Lobe Epilepsy.Brain connectivity · 2022Article
- Transcranial stimulation of alpha oscillations up-regulates the default mode network.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Direction of information flow between brain regions in ADHD and healthy children based on EEG by using directed phase transfer entropy.Cognitive neurodynamics · 2021Article
- Analysis of Effective Connectivity Strength in Children with Attention Deficit Hyperactivity Disorder Using Phase Transfer Entropy.Iranian journal of psychiatry · 2021Article
- A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks.IEEE transactions on bio-medical engineering · 2021Article
- Measuring robust functional connectivity from resting-state MEG using amplitude and entropy correlation across frequency bands and temporal scales.NeuroImage · 2021Article
- The relationship between physical activity, apolipoprotein E ε4 carriage, and brain health.Alzheimer's research & therapy · 2020Article
- Article
- The road ahead in clinical network neuroscience.Network neuroscience (Cambridge, Mass.) · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In a recent magnetoencephalography (MEG) study, we found posterior-to-anterior information flow over the cortex in higher frequency bands in healthy subjects, with a reversed pattern in the theta band. A disruption of information flow may underlie clinical symptoms in Alzheimer's disease (AD). In AD, highly connected regions (hubs) in posterior areas are mostly disrupted. We therefore hypothesized that in AD the information flow from these hub regions would be disturbed. We used resting-state MEG recordings from 27 early-onset AD patients and 26 healthy controls. Using beamformer-based virtual electrodes, we estimated neuronal oscillatory activity for 78 cortical regions of interest (ROIs) and 12 subcortical ROIs of the AAL atlas, and calculated the directed phase transfer entropy (dPTE) as a measure of information flow between these ROIs. Group differences were evaluated using permutation tests and, for the AD group, associations between dPTE and general cognition or CSF biomarkers were determined using Spearman correlation coefficients. We confirmed the previously reported posterior-to-anterior information flow in the higher frequency bands in the healthy controls, and found it to be disturbed in the beta band in AD. Most prominently, the information flow from the precuneus and the visual cortex, towards frontal and subcortical structures, was decreased in AD. These disruptions did not correlate with cognitive impairment or CSF biomarkers. We conclude that AD pathology may affect the flow of information between brain regions, particularly from posterior hub regions, and that changes in the information flow in the beta band indicate an aspect of the pathophysiological process in AD.
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.