Evidence map›Paper›PMID 38356029›Full record

SynthesisGeroScience2024

Exploring the potential of combining transcranial magnetic stimulation and electroencephalography to investigate mild cognitive impairment and Alzheimer's disease: a systematic review.

J D Hall, Jacob M Green, Yu-Chin A Chen, Yilin Liu, Hangbin Zhang, Mark H Sundman, Ying-Hui Chou

Abstract readSystematic Review
In one paragraph

Synthesis in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
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.

J D HallBrain Imaging and TMS Laboratory, Department of Psychology, University of Arizona, 1230 N Cherry Ave., Tucson, AZ, USA.
Jacob M GreenBrain Imaging and TMS Laboratory, Department of Psychology, University of Arizona, 1230 N Cherry Ave., Tucson, AZ, USA.
Yu-Chin A ChenBrain Imaging and TMS Laboratory, Department of Psychology, University of Arizona, 1230 N Cherry Ave., Tucson, AZ, USA.
Yilin LiuBrain Imaging and TMS Laboratory, Department of Psychology, University of Arizona, 1230 N Cherry Ave., Tucson, AZ, USA.
Hangbin ZhangBrain Imaging and TMS Laboratory, Department of Psychology, University of Arizona, 1230 N Cherry Ave., Tucson, AZ, USA.
Mark H SundmanBrain Imaging and TMS Laboratory, Department of Psychology, University of Arizona, 1230 N Cherry Ave., Tucson, AZ, USA.
Ying-Hui ChouBrain Imaging and TMS Laboratory, Department of Psychology, University of Arizona, 1230 N Cherry Ave., Tucson, AZ, USA. yinghuichou@arizona.edu.ORCID 0000-0003-0707-286X

Funding

Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI ALIREZA ATRI · 2021 to 2026
$24.9M
Enhancement of Hippocampal Plasticity Using Repetitive Transcranial Magnetic StimulationR01AG062543 · NIA · UNIVERSITY OF ARIZONA · PI CHOU, YING-HUI · 2020 to 2024
$3.5M
Interleaved TMS-fMRI for Hippocampal Stimulation: Modeling Dose-Response Relationship in Amnestic Mild Cognitive ImpairmentR21AG077153 · NIA · UNIVERSITY OF ARIZONA · PI CHOU, YING-HUI · 2022 to 2023
$409k
NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG062543NIA NIH HHS R21 AG077153
6 · The paper itself

Abstract

Transcranial magnetic stimulation (TMS) and electroencephalography (EEG) are non-invasive techniques used for neuromodulation and recording brain electrical activity, respectively. The integration of TMS-EEG has emerged as a valuable tool for investigating the complex mechanisms involved in age-related disorders, such as mild cognitive impairment (MCI) and Alzheimer's disease (AD). By systematically synthesizing TMS-EEG studies, this review aims to shed light on the neurophysiological mechanisms underlying MCI and AD, while also exploring the practical applications of TMS-EEG in clinical settings. PubMed, ScienceDirect, and PsychInfo were selected as the databases for this review. The 22 eligible studies included a total of 592 individuals with MCI or AD as well as 301 cognitively normal adults. TMS-EEG assessments unveiled specific patterns of corticospinal excitability, plasticity, and brain connectivity that distinguished individuals on the AD spectrum from cognitively normal older adults. Moreover, the TMS-induced EEG features were observed to be correlated with cognitive performance and the presence of AD pathological biomarkers. The comprehensive examination of the existing studies demonstrates that the combination of TMS and EEG has yielded valuable insights into the neurophysiology of MCI and AD. This integration shows great potential for early detection, monitoring disease progression, and anticipating response to treatment. Future research is of paramount importance to delve into the potential utilization of TMS-EEG for treatment optimization in individuals with MCI and AD.

Indexed as

Alzheimer DiseaseCognitive DysfunctionElectroencephalographyTranscranial Magnetic StimulationAgedHumansAlzheimer’s diseaseBiomarkerElectroencephalographyMild cognitive impairmentTranscranial magnetic stimulation

Identifiers

PMID38356029
PMCPMC11226590

What OpenQuestion holds

Textmetadata
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.