Evidence map›Paper›PMID 36380885›Full record

ArticleNeurology. Clinical practice2022

Objective Neurophysiologic Markers of Cognition After Pediatric Brain Injury.

Nayoung Kim, William Watson, Eric Caliendo, Sophie Nowak, Nicholas D Schiff, Sudhin A Shah, N Jeremy Hill

Open access · hybridAbstract read
In one paragraph

Article in Neurology. Clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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.

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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Nayoung KimDepartment of Radiology (NK, EC, SAS), Weill Cornell Medicine, New York, New York; Blythedale Children's Hospital (WW, SN), Valhalla, New York; Department of Neurology and BMRI (NDS), Weill Cornell Medicine, New York, New York; and National Center for Adaptive Neurotechnologies (NJH), Stratton VA Medical Center, Albany, New York.
William WatsonDepartment of Radiology (NK, EC, SAS), Weill Cornell Medicine, New York, New York; Blythedale Children's Hospital (WW, SN), Valhalla, New York; Department of Neurology and BMRI (NDS), Weill Cornell Medicine, New York, New York; and National Center for Adaptive Neurotechnologies (NJH), Stratton VA Medical Center, Albany, New York.
Eric CaliendoDepartment of Radiology (NK, EC, SAS), Weill Cornell Medicine, New York, New York; Blythedale Children's Hospital (WW, SN), Valhalla, New York; Department of Neurology and BMRI (NDS), Weill Cornell Medicine, New York, New York; and National Center for Adaptive Neurotechnologies (NJH), Stratton VA Medical Center, Albany, New York.
Sophie NowakDepartment of Radiology (NK, EC, SAS), Weill Cornell Medicine, New York, New York; Blythedale Children's Hospital (WW, SN), Valhalla, New York; Department of Neurology and BMRI (NDS), Weill Cornell Medicine, New York, New York; and National Center for Adaptive Neurotechnologies (NJH), Stratton VA Medical Center, Albany, New York.
Nicholas D SchiffDepartment of Radiology (NK, EC, SAS), Weill Cornell Medicine, New York, New York; Blythedale Children's Hospital (WW, SN), Valhalla, New York; Department of Neurology and BMRI (NDS), Weill Cornell Medicine, New York, New York; and National Center for Adaptive Neurotechnologies (NJH), Stratton VA Medical Center, Albany, New York.
Sudhin A ShahDepartment of Radiology (NK, EC, SAS), Weill Cornell Medicine, New York, New York; Blythedale Children's Hospital (WW, SN), Valhalla, New York; Department of Neurology and BMRI (NDS), Weill Cornell Medicine, New York, New York; and National Center for Adaptive Neurotechnologies (NJH), Stratton VA Medical Center, Albany, New York.
N Jeremy HillDepartment of Radiology (NK, EC, SAS), Weill Cornell Medicine, New York, New York; Blythedale Children's Hospital (WW, SN), Valhalla, New York; Department of Neurology and BMRI (NDS), Weill Cornell Medicine, New York, New York; and National Center for Adaptive Neurotechnologies (NJH), Stratton VA Medical Center, Albany, New York.
Weill Cornell Medicine · USBlythedale Children's Hospital · USCornell University · US

Funding

Training and DisseminationP41EB018783 · NIBIB · WADSWORTH CENTER · PI Theresa M. Vaughan · 2014 to 2026
$15.4M
Dynamics and Causal Functions of Large-Scale Cortical and Subcortical NetworksU01NS108916 · NINDS · WADSWORTH CENTER · PI WOLPAW, JONATHAN RICKEL · 2018 to 2019
$1.4M
NIBIB NIH HHS P41 EB018783NINDS NIH HHS U01 NS108916
6 · The paper itself

Abstract

Background and Objectives: Following brain injury, clinical assessments of residual and emerging cognitive function are difficult and fraught with errors. In adults, recent American Academy of Neurology (AAN) practice guidelines recommend objective neuroimaging and neurophysiologic measures to support diagnosis. Equivalent measures are lacking in pediatrics-an especially great challenge due to the combined heterogeneity of both brain injury and pediatric development. Therefore, we aim to establish quantitative, clinically practicable measures of cognitive function following pediatric brain injury. Methods: Participants with and without brain injury were aged 8-18 years, clinically classified according to cognitive recovery state: N = 8 in disorders of consciousness (DoC), N = 7 in confusional state, N = 19 cognitively impaired, and N = 13 typically developing uninjured controls. We prospectively measured electroencephalographic markers of sensory processing and attention in an auditory oddball paradigm, and of covert movement attempts in a command-following paradigm. Results: In 3 participants with DoC, EEG markers of active attempted command following revealed cognitive function that clinical assessment had failed to detect. These same 3 individuals could also be distinguished from the rest of their group by 2 event-related potentials that correlate with sensory processing and orienting attention in the oddball paradigm. Considered across the whole participant group, magnitudes of these 2 ERP markers significantly increased as cognitive recovery progressed (ANOVA: each Discussion: Despite heterogeneity of brain injuries and brain development, our objective EEG markers reflected cognitive recovery independent of motor function. Two of these markers required no active participation. Together, they allowed us to identify 3 individuals who meet the criteria for cognitive-motor dissociation. To diagnose, prognose, and track cognitive recovery accurately, such markers should be used in pediatrics.

Identifiers

PMID36380885
PMCPMC9647802
OpenAlexW4294904891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.