Trial reportBioMed research international2018
Altered Functional Network Affects Amyloid and Structural Covariance in Alzheimer's Disease.
Trial report in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
11 citing papers in PubMed, 18 citations in OpenAlex.
- Alterations of gray matter volume and structural covariance network in unilateral frontal lobe low-grade gliomas.BMC medical imaging · 2025Article
- Intra-striatal dopaminergic inter-subject covariance in social drinkers and non-treatment-seeking alcohol use disorder participants.Addiction biology · 2024Article
- The spatial distribution of coupling between tau and neurodegeneration in amyloid-β positive mild cognitive impairment.Neurobiology of aging · 2024Article
- Depression Is Associated with the Aberration of Resting State Default Mode Network Functional Connectivity in Patients with Amyloid-Positive Mild Cognitive Impairment.Brain sciences · 2023Article
- Medial Temporal Lobe Networks in Alzheimer's Disease: Structural and Molecular Vulnerabilities.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Progressive structural and covariance connectivity abnormalities in patients with Alzheimer's disease.Frontiers in aging neuroscience · 2022Article
- Functional MRI andTherapeutic advances in neurological disorders · 2022Article
- Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum.Human brain mapping · 2021Article
- Divergent Connectivity Changes in Gray Matter Structural Covariance Networks in Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment, and Alzheimer's Disease.Frontiers in aging neuroscience · 2021Article
- Hippocampus co-atrophy pattern in dementia deviates from covariance patterns across the lifespan.Brain : a journal of neurology · 2020Article
- Lateralized memory circuit dropout in Alzheimer's disease patients.Brain communications · 2020Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe aimed to investigate how altered intrinsic connectivity networks (ICNs) affect pathologic changes of Alzheimer's disease (AD) at a network-based level.
methodsThirty normal controls (NCs), 23 patients with AD-mild cognitive impairment (MCI), and 20 patients with AD-dementia were enrolled. We compared the organization of grey matter structural covariance and functional connectivity in ICNs between NCs and all AD patients who were amyloid
resultsThe patients with AD had increased functional interregional covariance among the regions of the ICN anchored to dorsal caudate (DC) seeds compared to the NCs. The increased connectivity was associated with extended patterns of reduced A
conclusionsFunctional connectivity in ICNs affects the topographic spread of molecular pathologies. The temporal trajectory of pathologic alterations can be well demonstrated by pathologic covariance comparisons between different clinical stages. Pathologic covariance can provide critical support to pathologic interactions at network and molecular levels.
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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.