Evidence map›Paper›PMID 26091258›Full record

ArticlePloS one2015

Functional Connectivity Changes in Resting-State EEG as Potential Biomarker for Amyotrophic Lateral Sclerosis.

Parameswaran Mahadeva Iyer, Catriona Egan, Marta Pinto-Grau, Tom Burke, Marwa Elamin, Bahman Nasseroleslami, Niall Pender, Edmund C Lalor, Orla Hardiman

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04918251 (Investigation of EEG and TMS-based Biomarkers of Amyotrophic Lateral Sclerosis, Multiple Sclerosis and Frontotemporal Dementia), which is not on this map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.7field-weighted citation impact, top 5% 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.

NCT04918251 unknown statusnot on this map

Investigation of EEG and TMS-based Biomarkers of Amyotrophic Lateral Sclerosis, Multiple Sclerosis and Frontotemporal Dementia

TypeobservationalSponsorUniversity of Dublin, Trinity CollegeRan2012 to 2023Enrolled400ConditionsAmyotrophic Lateral Sclerosis, Frontotemporal Dementia, Multiple SclerosisArms128 electrode electroencephalography (EEG), Transcranial magnetic stimulation (TMS)
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
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  4. Functional Connectivity Is Dominated by Aperiodic, Rather Than Oscillatory, Coupling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Gamma activation spread reflects disease activity in amyotrophic lateral sclerosis.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  6. Review
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  8. Brain Connectivity During Walking and Obstacle Avoidance in Persons With Multiple Sclerosis and Healthy Controls: A Pilot EEG Study.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  9. Review
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  12. Temporal complexity of the BOLD-signal in preterm versus term infants.Cerebral cortex (New York, N.Y. : 1991) · 2024
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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

9 authors at 1 institution in 1 country.

Parameswaran Mahadeva IyerSchool of Medicine, Trinity College Dublin, Dublin 2, Ireland; Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland.
Catriona EganSchool of Engineering, Trinity College Dublin, Dublin 2, Ireland; Trinity Centre for Bioengineering, Trinity College Dublin, Dublin 2, Ireland.
Marta Pinto-GrauAcademic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland.
Tom BurkeAcademic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland.
Marwa ElaminSchool of Medicine, Trinity College Dublin, Dublin 2, Ireland; Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland.
Bahman NasseroleslamiAcademic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland.
Niall PenderAcademic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland.
Edmund C LalorSchool of Engineering, Trinity College Dublin, Dublin 2, Ireland; Trinity Centre for Bioengineering, Trinity College Dublin, Dublin 2, Ireland.
Orla HardimanAcademic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland.
Trinity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmyotrophic Lateral Sclerosis (ALS) is heterogeneous and overlaps with frontotemporal dementia. Spectral EEG can predict damage in structural and functional networks in frontotemporal dementia but has never been applied to ALS.

methods18 incident ALS patients with normal cognition and 17 age matched controls underwent 128 channel EEG and neuropsychology assessment. The EEG data was analyzed using FieldTrip software in MATLAB to calculate simple connectivity measures and scalp network measures. sLORETA was used in nodal analysis for source localization and same methods were applied as above to calculate nodal network measures. Graph theory measures were used to assess network integrity.

resultsCross spectral density in alpha band was higher in patients. In ALS patients, increased degree values of the network nodes was noted in the central and frontal regions in the theta band across seven of the different connectivity maps (p<0.0005). Among patients, clustering coefficient in alpha and gamma bands was increased in all regions of the scalp and connectivity were significantly increased (p=0.02). Nodal network showed increased assortativity in alpha band in the patients group. The Clustering Coefficient in Partial Directed Connectivity (PDC) showed significantly higher values for patients in alpha, beta, gamma, theta and delta frequencies (p=0.05). DISCUSSION: There is increased connectivity in the fronto-central regions of the scalp and areas corresponding to Salience and Default Mode network in ALS, suggesting a pathologic disruption of neuronal networking in early disease states. Spectral EEG has potential utility as a biomarker in ALS.

Indexed as

ConnectomeElectroencephalographyAdultAgedAmyotrophic Lateral SclerosisBiomarkersBrainFemaleHumansMaleMiddle AgedNeural PathwaysROC CurveBiomarkers

Identifiers

PMID26091258
PMCPMC4474889
OpenAlexW912131412

What OpenQuestion holds

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LicenceCC BY
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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.