Back

Vessel-Resolved Mapping of Perivascular Spaces Reveals Hierarchical Neurofluid Organization In Vivo

Zhou, X. A.; Liu, X.; Man, W.; Choi, S. C.; Hike, D.; Wang, X.; Jiang, Y.; Nedergaard, M.; Kahle, K. T.; Bacskai, B.; Yu, X.

2026-05-05 neuroscience
10.64898/2026.05.01.722268 bioRxiv
Show abstract

Perivascular spaces (PVS) are central to cerebrospinal fluid (CSF)-interstitial fluid (ISF) exchange in the brain, yet their brain-wide organization and in vivo accessibility remain poorly resolved due to limited spatial resolution and contrast specificity of existing imaging approaches. Prior gadolinium (Gd)-enhanced MRI studies demonstrate global tracer distribution but yield spatially diffuse signals that do not resolve PVS at the level of individual vessels. Here we introduce an ultra-high-resolution dual-contrast MRI framework that enables vessel-resolved mapping of PVS across the whole brain in vivo. This approach combines ultra-high-field imaging, an implantable radiofrequency coil for enhanced local sensitivity, and intraventricular Gd delivery to achieve sufficient contrast and spatial specificity for detecting vessel-associated perivascular signal. Using this framework, we show that PVS are hierarchically organized along vascular trees, extending from major surface arteries into deep cortical and subcortical regions. Signal patterns along arterial branches and junctions indicate that PVS follows vascular topology. Quantitative analysis reveals that only a subset of penetrating vessels ([~]6%) exhibits detectable PVS signal, indicating heterogeneous organization across vascular networks independent of vessel caliber. Widespread detection of PVS, including in the hippocampus, further demonstrates that ventricularly delivered tracers access a distributed, vessel-associated perivascular network in vivo. These results establish an anatomical framework for mapping perivascular transport pathways across the brain, bridging global tracer imaging with vessel-resolved organization, and enabling investigation of how vascular architecture and fluid dynamics shape CSF-ISF exchange.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
NeuroImage
813 papers in training set
Top 0.8%
14.4%
2
Nature Communications
4913 papers in training set
Top 18%
10.1%
3
Advanced Science
249 papers in training set
Top 3%
6.4%
4
eLife
5422 papers in training set
Top 13%
6.4%
5
Neuron
282 papers in training set
Top 3%
4.9%
6
Science Advances
1098 papers in training set
Top 4%
4.0%
7
Nature Methods
336 papers in training set
Top 3%
3.6%
8
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 20%
3.6%
50% of probability mass above
9
Scientific Reports
3102 papers in training set
Top 36%
3.6%
10
Nature Neuroscience
216 papers in training set
Top 3%
3.1%
11
The Journal of Neuroscience
928 papers in training set
Top 5%
2.4%
12
Cell Reports
1338 papers in training set
Top 21%
2.1%
13
Optica
25 papers in training set
Top 0.4%
2.1%
14
Imaging Neuroscience
242 papers in training set
Top 2%
1.9%
15
Clinical Cancer Research
58 papers in training set
Top 0.9%
1.8%
16
Nature Biomedical Engineering
42 papers in training set
Top 0.9%
1.7%
17
Communications Biology
886 papers in training set
Top 12%
1.3%
18
Nature Biotechnology
147 papers in training set
Top 5%
1.3%
19
PLOS ONE
4510 papers in training set
Top 58%
1.3%
20
Nature
575 papers in training set
Top 14%
1.1%
21
IEEE Transactions on Medical Imaging
18 papers in training set
Top 0.4%
1.0%
22
ACS Nano
99 papers in training set
Top 3%
0.9%
23
Fluids and Barriers of the CNS
21 papers in training set
Top 0.3%
0.9%
24
Science
429 papers in training set
Top 18%
0.9%
25
Cell
370 papers in training set
Top 16%
0.8%
26
PLOS Biology
408 papers in training set
Top 18%
0.8%
27
Brain
154 papers in training set
Top 5%
0.7%
28
JCI Insight
241 papers in training set
Top 8%
0.7%
29
iScience
1063 papers in training set
Top 37%
0.6%
30
Journal of Cerebral Blood Flow & Metabolism
43 papers in training set
Top 0.8%
0.6%