Evidence map›Paper›PMID 33810206›Full record

ReviewBrain sciences2021

Contribution of TMS and TMS-EEG to the Understanding of Mechanisms Underlying Physiological Brain Aging.

Andrea Guerra, Lorenzo Rocchi, Alberto Grego, Francesca Berardi, Concetta Luisi, Florinda Ferreri

Open access · goldAbstract readReview
In one paragraph

Review in Brain sciences, 2021. 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
1.7field-weighted citation impact, top 16% 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, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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 3 countries.

Andrea GuerraIRCCS Neuromed, 86077 Pozzilli (IS), Italy.
Lorenzo RocchiDepartment of Clinical and Movements Neurosciences, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK.
Alberto GregoDepartment of Neuroscience, University of Padua, 35122 Padua, Italy.
Francesca BerardiDepartment of Neuroscience, University of Padua, 35122 Padua, Italy.
Concetta LuisiDepartment of Neuroscience, University of Padua, 35122 Padua, Italy.ORCID 0000-0003-2310-9992
Florinda FerreriDepartment of Neuroscience, University of Padua, 35122 Padua, Italy.ORCID 0000-0002-7938-905X
University of Padua · ITIstituto Neurologico Mediterraneo · ITUniversity of Cagliari · IT

Funding

Agenzia Italiana del Farmaco, Ministero della Salute GR-2016-02361802
6 · The paper itself

Abstract

In the human brain, aging is characterized by progressive neuronal loss, leading to disruption of synapses and to a degree of failure in neurotransmission. However, there is increasing evidence to support the notion that the aged brain has a remarkable ability to reorganize itself, with the aim of preserving its physiological activity. It is important to develop objective markers able to characterize the biological processes underlying brain aging in the intact human, and to distinguish them from brain degeneration associated with many neurological diseases. Transcranial magnetic stimulation (TMS), coupled with electromyography or electroencephalography (EEG), is particularly suited to this aim, due to the functional nature of the information provided, and thanks to the ease with which it can be integrated with behavioral manipulation. In this review, we aimed to provide up to date information about the role of TMS and TMS-EEG in the investigation of brain aging. In particular, we focused on data about cortical excitability, connectivity and plasticity, obtained by using readouts such as motor evoked potentials and transcranial evoked potentials. Overall, findings in the literature support an important potential contribution of TMS to the understanding of the mechanisms underlying normal brain aging. Further studies are needed to expand the current body of information and to assess the applicability of TMS findings in the clinical setting.

Indexed as

agingconnectivityEEGexcitabilityplasticitytranscranial magnetic stimulation

Identifiers

PMID33810206
PMCPMC8004753
OpenAlexW3136228979

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.