ReviewFunctional neurology
Brain investigation and brain conceptualization.
Review in Functional neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed.
- Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA.Scientific reports · 2023Article
- Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population.Frontiers in neuroscience · 2021Article
- Medical Informatics Platform (MIP): A Pilot Study Across Clinical Italian Cohorts.Frontiers in neurology · 2020Article
- A comparison of automated segmentation and manual tracing in estimating hippocampal volume in ischemic stroke and healthy control participants.NeuroImage. Clinical · 2019Article
- Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease.NeuroImage. Clinical · 2019Article
- Hippocampal atrophy has limited usefulness as a diagnostic biomarker on the early onset Alzheimer's disease patients: A comparison between visual and quantitative assessment.NeuroImage. Clinical · 2019Article
- Assessment of longitudinal hippocampal atrophy in the first year after ischemic stroke using automatic segmentation techniques.NeuroImage. Clinical · 2019Article
- The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics.Alzheimer's research & therapy · 2018Article
- Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study.PloS one · 2015Article
- The connectomics challenge.Functional neurologyReview
- Realistic modeling of neurons and networks: towards brain simulation.Functional neurologyReview
- Neuroimaging-based methods for autism identification: a possible translational application?Functional neurologyReview
- The urgent need for a systems biology approach to neurology.Functional neurologyArticle
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 brain of a patient with Alzheimer's disease (AD) undergoes changes starting many years before the development of the first clinical symptoms. The recent availability of large prospective datasets makes it possible to create sophisticated brain models of healthy subjects and patients with AD, showing pathophysiological changes occurring over time. However, these models are still inadequate; representations are mainly single-scale and they do not account for the complexity and interdependence of brain changes. Brain changes in AD patients occur at different levels and for different reasons: at the molecular level, changes are due to amyloid deposition; at cellular level, to loss of neuron synapses, and at tissue level, to connectivity disruption. All cause extensive atrophy of the whole brain organ. Initiatives aiming to model the whole human brain have been launched in Europe and the US with the goal of reducing the burden of brain diseases. In this work, we describe a new approach to earlier diagnosis based on a multimodal and multiscale brain concept, built upon existing and well-characterized single modalities.
Indexed as
Identifiers
24139654PMC3812741What 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.