Evidence map›Paper›PMID 32349614›Full record

ArticleJournal of neurotrauma2020

Relationship of Cerebral Blood Flow to Cognitive Function and Recovery in Early Chronic Traumatic Brain Injury.

Jeffrey B Ware, Sudipto Dolui, Jeffrey Duda, Naomi Gaggi, Robin Choi, John Detre, John Whyte, Ramon Diaz-Arrastia, Junghoon J Kim

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of neurotrauma, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06480838 (Cerebral Autoregulation, Brain Perfusion, and Neurocognitive Outcomes After Traumatic Brain Injury), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 10% of its field
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.

NCT06480838 recruitingnot on this mapstarted 2023, after this paper: background citation

Cerebral Autoregulation, Brain Perfusion, and Neurocognitive Outcomes After Traumatic Brain Injury

TypeobservationalSponsorUniversity of Texas Southwestern Medical CenterRan2023 to 2029Enrolled130ConditionsTraumatic Brain Injury With Loss of Consciousness, Brain Injury Traumatic Severe, Brain Injury Traumatic Moderate, TBI (Traumatic Brain Injury)
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Characterizing Brain-Cardiovascular Aging Using Multiorgan Imaging and Machine Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Deformation-based morphometry: a sensitive imaging approach to detect radiation-induced brain injury?Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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 at 3 institutions in 1 country.

Jeffrey B WareDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sudipto DoluiDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jeffrey DudaDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Naomi GaggiDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Robin ChoiDepartment of Molecular, Cellular, and Biomedical Sciences, City University of New York School of Medicine, New York, New York, USA.
John DetreMoss Rehabilitation Research Institute, Philadelphia, Pennsylvania, USA.
John WhyteDepartment of Molecular, Cellular, and Biomedical Sciences, City University of New York School of Medicine, New York, New York, USA.
Ramon Diaz-ArrastiaMoss Rehabilitation Research Institute, Philadelphia, Pennsylvania, USA.
Junghoon J KimDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
University of Pennsylvania · USCity University of New York · USMoss Rehabilitation Hospital · US

Funding

A Longitudinal Multi-modal Neuroimaging Investigation of Functional Recovery afteR01NS065980 · NINDS · CITY COLLEGE OF NEW YORK · PI KIM, JUNGHOON JOHN · 2011 to 2015
$1.4M
Cerebral Blood Flow trajectory in the Alzheimer's Disease continuumR03AG063213 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DOLUI, SUDIPTO · 2019 to 2020
$323k
NIA NIH HHS R03 AG063213NINDS NIH HHS R01 NS065980
6 · The paper itself

Abstract

Traumatic brain injury (TBI) is a leading cause of morbidity worldwide, for which biomarkers are needed to better understand the underlying pathophysiology. Microvascular injury represents a subset of pathological mechanisms contributing to cognitive dysfunction after TBI, which may also impair subsequent neural repair thereby inhibiting cognitive recovery. Magnetic resonance imaging (MRI)-based measurement of cerebral blood flow (CBF) by arterial spin labeling (ASL) provides an appealing means of assessing microvascular disruption in TBI; however, the relationship between CBF alterations in the early chronic post-TBI setting and cognitive dysfunction as well as subsequent cognitive recovery remain poorly understood. Structural MRI and ASL were performed in 42 TBI subjects 3 months post-injury and 35 matched healthy controls. Neuropsychological testing was performed in each subject, as well as in a subset of TBI patients (

Indexed as

AdultAgedBrain Injuries, TraumaticBrain Injury, ChronicCerebrovascular CirculationCognitionCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRecovery of Functionadult brain injuryASLblood flowCBFcognitive functionMRITBIvascular injury

Identifiers

PMID32349614
PMCPMC7580632
OpenAlexW3022929507

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.