Evidence map›Paper›PMID 42779704›Full record

ArticlebioRxiv : the preprint server for biology2026

High frame rate

Cooper Gray, Kaidi Hu, Dorothea H Tse, Kyle Dieterle, Silas Simpson, Thomas Ruhl, Kyle Duff, Daehyun Kim, Mahsa Mirzaee, Anika Volker and 2 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Cooper GrayDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0009-0007-0844-3323
Kaidi HuDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0009-0001-8851-1774
Dorothea H TseDepartment of Psychology, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0009-0000-4666-3801
Kyle DieterleDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Silas SimpsonDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA.
Thomas RuhlDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA.
Kyle DuffDepartment of Biochemistry, University of Minnesota, Minneapolis, MN 55455, USA.
Daehyun KimDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Mahsa MirzaeeDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Anika VolkerDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA.
Turki S AlturkiDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA.
Jeffrey TithofDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0003-2083-0901

Funding

Mechanistic underpinnings of trigeminal nerve stimulation as a therapeutic approach to TBIR21AT013325 · NCCIH · UNIVERSITY OF MINNESOTA · PI TITHOF, JEFFREY · 2025 to 2025
$391k
Experimentally-validated model of glymphatic disruption due to spreading depolarizationR21EB036217 · NIBIB · UNIVERSITY OF MINNESOTA · PI TITHOF, JEFFREY · 2024 to 2024
$367k
NCCIH NIH HHS R21 AT013325NIBIB NIH HHS R21 EB036217
6 · The paper itself

Abstract

Cerebrospinal fluid (CSF) flows through perivascular spaces (PVSs) surrounding brain vasculature, and impaired flow has been linked to neurodegenerative diseases such as Alzheimer's. However, the mechanisms driving CSF flow and its oscillatory dynamics remain poorly understood. Using high frame rate two-photon imaging (up to 113 Hz), we show that CSF flow is spatially heterogeneous and highly pulsatile, quantified using a regional CSF pulsatility index (PI). Reduced-order simulations with realistic domain length and Windkessel boundary conditions show that arterial pulsations generate peak CSF velocities but contribute negligibly to net transport. PI varies non-monotonically in space and substantially with downstream hydraulic resistance and compliance, indicating that CSF pulsatility is an emergent property of the hydraulic network rather than simply a consequence of local arterial wall motion. Measurements and simulations of the phase between arterial wall motion and CSF velocity further constrain proposed CSF driving mechanisms. Finally, we perform mouse-specific simulations to estimate average and peak wall shear stresses which support the potential role of pulsatile CSF flow in perivascular mechanotransduction. Together, these results establish CSF pulsatility as a measurable signature of network-scale CSF dynamics.

Identifiers

PMID42779704
PMCPMC13596135

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.