Evidence map›Paper›PMID 30804255›Full record

ArticleNeural regeneration research2019

Longitudinal quantitative electroencephalographic study in mono-hemispheric stroke patients.

Filippo Zappasodi, Franca Tecchio, Laura Marzetti, Vittorio Pizzella, Vincenzo Di Lazzaro, Giovanni Assenza

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Quantitative measures of the resting EEG in stroke: a systematic review on clinical correlation and prognostic value.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Pooled it
  3. Slow Oscillations Track Acute Stroke Injury but Not Functional Recovery.bioRxiv : the preprint server for biology · 2026
    Article
  4. Clinical Sensitivity of Fractal Neurodynamics.Advances in neurobiology · 2024
    Article
  5. EEG spectral exponent as a synthetic index for the longitudinal assessment of stroke recovery.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022
    Article
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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

6 authors at 3 institutions in 1 country.

Filippo ZappasodiDepartment of Neuroscience, Imaging and Clinical Sciences and Institute for Advanced Biomedical Imaging, "G. D'Annunzio" University, Chieti, Italy.
Franca TecchioLaboratory of Electrophysiology for Translational NeuroScience (LET'S), ISTC-CNR, and Fondazione Policlinico Gemelli IRCCS, Rome, Italy.
Laura MarzettiDepartment of Neuroscience, Imaging and Clinical Sciences and Institute for Advanced Biomedical Imaging, "G. D'Annunzio" University, Chieti, Italy.
Vittorio PizzellaDepartment of Neuroscience, Imaging and Clinical Sciences and Institute for Advanced Biomedical Imaging, "G. D'Annunzio" University, Chieti, Italy.
Vincenzo Di LazzaroUnit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Università Campus Bio-Medico di Roma, Rome, Italy.
Giovanni AssenzaUnit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Università Campus Bio-Medico di Roma, Rome, Italy.
University of Chieti-Pescara · ITUniversità Campus Bio-Medico · ITAgostino Gemelli University Polyclinic · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of individual factors modulating clinical recovery after a stroke is fundamental to personalize the therapeutic intervention to enhance the final clinical outcome. In this framework, electrophysiological factors are promising since are more directly related to neuroplasticity, which supports recovery in stroke patients, than neurovascular factors. In this retrospective observational study, we investigated brain neuronal activity assessed via spectral features and Higuchi's fractal dimension (HFD) of electroencephalographic signals in acute phase (2-10 days from symptom onset, T0) and sub-acute phase (2.5 months, T1) in 24 patients affected by unilateral middle cerebral artery stroke. Longitudinal assessment of the clinical deficits was performed using the National Institutes of Health Stroke Scale (NIHSS), together with the effective recovery calculated as the ratio between difference of NIHSS at T0 and T1 over the NIHSS value at T0. We observed that delta and alpha band electroencephalographic signal power changed between the two phases in both the hemispheres ipsilateral (ILH) and contralateral (CHL) to the lesion. Moreover, at T0, bilateral higher delta band power correlated with worse clinical conditions (Spearman's r

Indexed as

delta bandEEGfractal dimensioninter-hemispheric asymmetriesmono-hemispheric strokeplasticity

Identifiers

PMID30804255
PMCPMC6425833
OpenAlexW2916571121

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.