Evidence map›Paper›PMID 38103453›Full record

ArticleCortex; a journal devoted to the study of the nervous system and behavior2024

Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks.

Phoebe Imms, Nahian F Chowdhury, Nikhil N Chaudhari, Anar Amgalan, Govinda Poudel, Karen Caeyenberghs, Andrei Irimia

Abstract read
In one paragraph

Article in Cortex; a journal devoted to the study of the nervous system and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Phoebe ImmsLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA. Electronic address: imms@usc.edu.
Nahian F ChowdhuryLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA. Electronic address: nfchowdh@usc.edu.
Nikhil N ChaudhariLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA; Corwin D. Denney Research Center, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA USA. Electronic address: nikhilc@usc.edu.
Anar AmgalanLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA. Electronic address: amgalan@usc.edu.
Govinda PoudelMary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Australia. Electronic address: govinda.poudel@acu.edu.au.
Karen CaeyenberghsCognitive Neuroscience Unit, School of Psychology, Deakin University, Melbourne Burwood Campus, Burwood, VIC, Australia. Electronic address: kcaeyenberghs@deakin.edu.au.
Andrei IrimiaLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA; Corwin D. Denney Research Center, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA USA; Department of Quantitative & Computational Biology, Dana and David Dornsife College of Arts & Sciences, University of Southern California, Los Angeles, CA USA. Electronic address: irimia@usc.edu.

Funding

Interpretable machine learning to synergize brain age estimation and neuroimaging geneticsR01AG079957 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Andrei Irimia · 2023 to 2026
$3.2M
Neurovascular calcification, Alzheimer’s disease and related dementias in two Native South American populationsRF1AG082201 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI IRIMIA, ANDREI · 2023 to 2023
$2.5M
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
NIA NIH HHS R01 AG079957NIA NIH HHS RF1 AG082201NINDS NIH HHS R01 NS100973
6 · The paper itself

Abstract

A considerable but ill-defined proportion of patients with mild traumatic brain injury (mTBI) experience persistent cognitive sequelae; the ability to identify such individuals early can help their neurorehabilitation. Here we tested the hypothesis that acute measures of efficient communication within brain networks are associated with patients' risk for unfavorable cognitive outcome six months after mTBI. Diffusion and T

Indexed as

Brain ConcussionBrain InjuriesAdultBrainCognitionHumansLanguageMaleBrain injuryExecutive functionNeurocognitive deficit prognosisOutcome predictionStructural connectomics

Identifiers

PMID38103453
PMCPMC10922490

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.