Evidence map›Paper›PMID 33897390›Full record

ArticleFrontiers in human neuroscience2021

Electroencephalography as a Biomarker for Functional Recovery in Spinal Cord Injury Patients.

Marcel Simis, Deniz Doruk Camsari, Marta Imamura, Thais Raquel Martins Filippo, Daniel Rubio De Souza, Linamara Rizzo Battistella, Felipe Fregni

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06725836 (Clinical Testing and Assessment of the Physiological Effects of Invasive Spinal Cord Stimulation Using Electroencephalography to Optimize Rehabilitation Programs and Develop Personalized Approaches for Recovery After Spinal Injury), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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.

NCT06725836 narecruitingnot on this mapstarted 2023, after this paper: background citation

Clinical Testing and Assessment of the Physiological Effects of Invasive Spinal Cord Stimulation Using Electroencephalography to Optimize Rehabilitation Programs and Develop Personalized Approaches for Recovery After Spinal Injury

TypeinterventionalSponsorArtur BiktimirovRan2023 to 2028Enrolled35ConditionsSpinal Cord Injuries (SCI), Spinal Cord InjuryArmsImplantation of electrodes into the epidural space for spinal cord stimulation, Selection of the optimal spinal cord stimulation program for spastic syndrome suppression, Selection of the optimal spinal cord stimulation program for volitional motor control, Resting electroencephalography for identifying neurocorrelates of spinal cord stimulation., Electroencephalography within the motor imagery paradigm
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 16 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 2 countries.

Marcel SimisHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Deniz Doruk CamsariDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States.
Marta ImamuraHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Thais Raquel Martins FilippoUniversidade Paulista and Universidade Nove de Julho, São Paulo, Brazil.
Daniel Rubio De SouzaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Linamara Rizzo BattistellaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Felipe FregniNeuromodulation Center, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA, United States.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRHarvard University · USUniversidade Paulista · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFunctional changes after spinal cord injury (SCI) are related to changes in cortical plasticity. These changes can be measured with electroencephalography (EEG) and has potential to be used as a clinical biomarker.

methodIn this longitudinal study participants underwent a total of 30 sessions of robotic-assisted gait training (RAGT) over a course of 6 weeks. The duration of each session was 30 min. Resting state EEG was recorded before and after 30-session rehabilitation therapy. To measure gait, we used the Walking Index for Spinal Cord Injury Scale, 10-Meter- Walking Test, Timed-Up-and-Go, and 6-Min-Walking Test. Balance was measured using Berg Balance Scale.

resultsFifteen participants with incomplete SCI who had AIS C or D injuries based on American Spinal Cord Injury Association Impairment Scale classification were included in this study. Mean age was 35.7 years (range 17-51) and the mean time since injury was 17.08 (range 4-37) months. All participants showed clinical improvement with the rehabilitation program. EEG data revealed that high beta EEG activity in the central area had a negative correlation with gait (

conclusionIn SCI, functional impairment and subsequent improvement following rehabilitation therapy with RAGT correlated with the change in cortical activity measured by EEG. Our results suggest that EEG alpha/theta ratio may be a potential surrogate marker of functional improvement during rehabilitation. Future studies are necessary to improve and validate these findings as a neurophysiological biomarker for SCI rehabilitation.

Indexed as

biomarkerselectroencephalographyneuroplasticityrehabilitationspinal cord injury

Identifiers

PMID33897390
PMCPMC8062968
OpenAlexW3154351883

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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.