Evidence map›Paper›PMID 28018987›Full record

ArticleNeurobiology of sleep and circadian rhythms2016

EEG slow waves in traumatic brain injury: Convergent findings in mouse and man.

Mo Modarres, Nicholas N Kuzma, Tracy Kretzmer, Allan I Pack, Miranda M Lim

Abstract read
In one paragraph

Article in Neurobiology of sleep and circadian rhythms, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Mo ModarresBrain Rehabilitation Research Center, North Florida/South Georgia Veterans Affairs Medical Center, Gainesville, FL.
Nicholas N KuzmaResearch Service, Veterans Affairs Portland Health Care System, Portland OR; Department of Physics, Portland State University, Portland, OR.
Tracy KretzmerDepartment of Mental Health and Behavioral Sciences, James A. Haley Veterans' Hospital, Tampa, FL.
Allan I PackCenter for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA.
Miranda M LimResearch Service, Veterans Affairs Portland Health Care System, Portland OR; Sleep Disorders Clinic, Division of Hospital and Specialty Medicine, Veterans Affairs Portland Health Care System, Portland OR; Departments of Medicine, Neurology and Behavioral Neuroscience, and Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, OR.

Funding

Ambulatory Sleepiness &Apnea Propensity Evaluation SystR43HL076986 · NHLBI · CLEVELAND MEDICAL DEVICES, INC. · PI MODARRES, MO · 2005 to 2005
$220k
Sleep-wake disturbances in traumatic brain injuryIK2BX002712 · VA · PORTLAND VA MEDICAL CENTER · PI LIM, MIRANDA M · 2016 to 2020
–
BLRD VA IK2 BX002712Intramural VA VA999999NHLBI NIH HHS R43 HL076986
6 · The paper itself

Abstract

objectiveEvidence from previous studies suggests that greater sleep pressure, in the form of EEG-based slow waves, accumulates in specific brain regions that are more active during prior waking experience. We sought to quantify the number and coherence of EEG slow waves in subjects with mild traumatic brain injury (mTBI).

methodsWe developed a method to automatically detect individual slow waves in each EEG channel, and validated this method using simulated EEG data. We then used this method to quantify EEG-based slow waves during sleep and wake states in both mouse and human subjects with mTBI. A modified coherence index that accounts for information from multiple channels was calculated as a measure of slow wave synchrony.

resultsBrain-injured mice showed significantly higher theta:alpha amplitude ratios and significantly more slow waves during spontaneous wakefulness and during prolonged sleep deprivation, compared to sham-injured control mice. Human subjects with mTBI showed significantly higher theta:beta amplitude ratios and significantly more EEG slow waves while awake compared to age-matched control subjects. We then quantified the global coherence index of slow waves across several EEG channels in human subjects. Individuals with mTBI showed significantly less EEG global coherence compared to control subjects while awake, but not during sleep. EEG global coherence was significantly correlated with severity of post-concussive symptoms (as assessed by the Neurobehavioral Symptom Inventory scale). CONCLUSION AND IMPLICATIONS: Taken together, our data from both mouse and human studies suggest that EEG slow wave quantity and the global coherence index of slow waves may represent a sensitive marker for the diagnosis and prognosis of mTBI and post-concussive symptoms.

Indexed as

coherenceEEGsleepslow wavestranslationalTraumatic brain injury

Identifiers

PMID28018987
PMCPMC5175467

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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.