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Cerebro spinal fluid dynamic in front of cardiac and breathing influence

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Olivier Baledent (CHIMERE), Pan Liu (CHIMERE), Serge Metanbou, Cyrille Capel (CHIMERE), Sidy Fall (UPJV), Roger Bouzerar

Signal Processing · Submitted 28 Jul 2022

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The aim of this work is to quantify CSF dynamics change in the aqueduct and in the spinal canal during the breathing and cardiac period using EPI-PC.

how it is stated · asserted 0.83 read the record →

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arXiv ID2207.13949 (version 1)
Pith IDQLE4JRE3, Pith's permanent record of this paper and its review
CitationCyrille Capel (CHIMERE), Olivier Baledent (CHIMERE), Pan Liu (CHIMERE), Roger Bouzerar, Serge Metanbou, Sidy Fall (UPJV). "Cerebro spinal fluid dynamic in front of cardiac and breathing influence." arXiv:2207.13949 (2022). https://pith.science/paper/QLE4JRE3
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,529 input tokens.

What the abstract itself states, as probabilities: claims first 0.49 · states limitation 0.11 · human participants 0.63 · controlled comparison 0.06 · randomized assignment 0.01 · states quantitative result 0.10 · compares with prior results 0.10 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

It is still debated how breathing interacts with the CSF. New Phase contrast MRI sequence based on Echo Planar imaging (EPI-PC) can now produce continuously during minutes a velocity map, more or less every 100 ms. We did not found in the literature quantitative evaluation of the CSF stroke volume change during breathing. The aim of this work is to quantify CSF dynamics change in the aqueduct and in the spinal canal during the breathing and cardiac period using EPI-PC.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 It is still debated how breathing interacts with the CSF. background 0.95 0.03 0.02 asserted 0.77
s1 New Phase contrast MRI sequence based on Echo Planar imaging (EPI-PC) can now produce continuously during minutes a velocity map, more or less every 100 ms. method 0.70 0.15 0.02 asserted 0.88
s2 We did not found in the literature quantitative evaluation of the CSF stroke volume change during breathing. gap 1.00 0.34 0.03 asserted 1.00
s3 The aim of this work is to quantify CSF dynamics change in the aqueduct and in the spinal canal during the breathing and cardiac period using EPI-PC. contribution 0.99 0.22 0.05 asserted 0.83

What kind of paper the classifier reports this is: empirical study 0.97 · evidence from observation or experiment 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

It is still debated how breathing interacts with the CSF. New Phase contrast MRI sequence based on Echo Planar imaging (EPI-PC) can now produce continuously during minutes a velocity map, more or less every 100 ms. We did not found in the literature quantitative evaluation of the CSF stroke volume change during breathing. The aim of this work is to quantify CSF dynamics change in the aqueduct and in the spinal canal during the breathing and cardiac period using EPI-PC.

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