ReviewInternational journal of molecular sciences2022
Transport in the Brain Extracellular Space: Diffusion, but Which Kind?
Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 21 citations in OpenAlex.
- From Design to Bedside: Brain-Targeted Engineered Nanoparticles and Predictive Modeling for Neurodegenerative Diseases Therapeutics.Pharmaceutical research · 2026Review
- DoE-Optimized Chitosan-Coated pH-Sensitive Liposomes for Targeted Nose-to-Brain Delivery of Temozolomide.AAPS PharmSciTech · 2026Article
- Nanoscopic Mapping of the Extracellular Space in Amyloid Plaque-rich Cortex.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Transport in the brain studied withNeurophotonics · 2025Review
- Programming-Assisted Imaging of Cellular Nitric Oxide Efflux Gradients and Directionality via Carbon Nanotube Sensors.Small science · 2025Article
- Mimicking Marker Spread After Disruption of the Blood-Brain Barrier with a Collagen-Based Hydrogel Phantom.Biomimetics (Basel, Switzerland) · 2024Article
- Barriers of the CNS transfer rate dynamics in patients with vascular cognitive impairment and dementia.Frontiers in aging neuroscience · 2024Article
- Review
- Deep learning for diffusion in porous media.Scientific reports · 2023Article
- Universal Evolution of Fickian Non-Gaussian Diffusion in Two- and Three-Dimensional Glass-Forming Liquids.International journal of molecular sciences · 2023Article
- Mechanical nanosurgery of chemoresistant glioblastoma using magnetically controlled carbon nanotubes.Science advances · 2023Article
- Brains are Probabilistic, Electrophysiologically Intricate and Triune: A Biased- Random Walk Perspective on Computational Neuroscience.International journal of psychological researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
The mechanisms of transport of substances in the brain parenchyma have been a hot topic in scientific discussion in the past decade. This discussion was triggered by the proposed glymphatic hypothesis, which assumes a directed flow of cerebral fluid within the parenchyma, in contrast to the previous notion that diffusion is the main mechanism. However, when discussing the issue of "diffusion or non-diffusion", much less attention was given to the question that diffusion itself can have a different character. In our opinion, some of the recently published results do not fit into the traditional understanding of diffusion. In this regard, we outline the relevant new theoretical approaches on transport processes in complex random media such as concepts of diffusive diffusivity and time-dependent homogenization, which expands the understanding of the forms of transport of substances based on diffusion.
Indexed as
Identifiers
What Socratic 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 Socratic graph.