Evidence map›Paper›PMID 31945877›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2019

Post-Traumatic Cerebral Microhemorrhages and their Effects Upon White Matter Connectivity in the Aging Human Brain.

Di Fan, Nikhil N Chaudhari, Kenneth A Rostowsky, Maria Calvillo, Sean K Lee, Nahian F Chowdhury, Fan Zhang, Lauren J O'Donnell, Andrei Irimia

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

9 authors.

Di Fan
Nikhil N Chaudhari
Kenneth A Rostowsky
Maria Calvillo
Sean K Lee
Nahian F Chowdhury
Fan Zhang
Lauren J O'Donnell
Andrei Irimia

Funding

Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI PUJOL, SONIA · 2012 to 2022
$20.9M
Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disordersR01MH119222 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN, RATHI, YOGESH · 2019 to 2023
$4.0M
Effects of blood-brain barrier disruption upon white matter connectivity subsequent to traumatic brain injuryR01NS100973 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI IRIMIA, ANDREI · 2017 to 2021
$1.6M
Open source diffusion MRI technology for brain cancer researchU01CA199459 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN · 2015 to 2017
$1.1M
NCI NIH HHS U01 CA199459NIBIB NIH HHS P41 EB015898NIBIB NIH HHS P41 EB015902NIMH NIH HHS R01 MH119222NINDS NIH HHS R01 NS100973
6 · The paper itself

Abstract

Cerebral microbleeds (CMBs), a common manifestation of mild traumatic brain injury (mTBI), have been sporadically implicated in the neurocognitive deficits of mTBI victims but their clinical significance has not been established adequately. Here we investigate the longitudinal effects of post-mTBI CMBs upon the fractional anisotropy (FA) of white matter (WM) in 21 older mTBI patients across the first ~6 months post-injury. CMBs were segmented automatically from susceptibility-weighted imaging (SWI) by leveraging the intensity gradient properties of SWI to identify CMB-related hypointensities using gradient-based edge detection. A detailed diffusion magnetic resonance imaging (dMRI) atlas of WM was used to segment and cluster tractography streamlines whose prototypes were then identified. The correlation coefficient was calculated between (A) FA values at vertices along streamline prototypes and (B) topological (along-streamline) distances between these vertices and the nearest CMB. Across subjects, the CMB identification approach achieved a sensitivity of 97.1% ± 4.7% and a precision of 72.4% ± 11.0% across subjects. The correlation coefficient was found to be negative and, additionally, statistically significant for 12.3% ± 3.5% of WM clusters (p <; 0.05, corrected), whose FA was found to decrease, on average, by 11.8% ± 5.3% across the first 6 months post-injury. These results suggest that CMBs can be associated with deleterious effects upon peri-lesional WM and highlight the vulnerability of older mTBI patients to neurovascular injury.

Indexed as

White MatterBrain ConcussionDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance Imaging

Identifiers

PMID31945877
PMCPMC7041304

What OpenQuestion holds

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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 OpenQuestion graph.