Evidence map›Paper›PMID 40136982›Full record

ArticleBiosensors2025

Amplitude of Intracranial Induced Electric Fields Does Not Linearly Decrease with Age: A Computational Study of Anatomical Effects in Adults.

Jianxu Zhang, Zilong Yan, Anshun Kang, Jian Ouyang, Lihua Ma, Xinyue Wang, Jinglong Wu, Dingjie Suo, Shintaro Funahashi, Wei Meng and 2 more

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 2 mA is NOT 2 mA: Electric field variability in high-definition tDCS and its implications for precision neuromodulation in aging.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
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

12 authors.

Jianxu ZhangSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-7611-2418
Zilong YanSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Anshun KangSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Jian OuyangSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Lihua MaSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Xinyue WangSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Jinglong WuSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Dingjie SuoSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Shintaro FunahashiAdvanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China.
Wei MengRadiology Department, Harbin Medical University, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin 150081, China.ORCID 0000-0002-3745-4036
Li WangSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0001-9819-9051
Jian ZhangSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0003-1327-7896

Funding

Beijing Natural Science Foundation IS23114, IS23115, 7242274China Postdoctoral Science Foundation 2023TQ0027National Natural Science Foundation of China U20A20191, 62336002, 82071912, 12104049, 82202291, 62306035, 62373056STI 2030-Major Projects 2022ZD0208500
6 · The paper itself

Abstract

Transcranial electrical stimulation, as a means of neural modulation, is increasingly favored by researchers. The distribution and magnitude of the electric field generated within the brain may directly affect the results of neural modulation. Therefore, it is important to clarify the change trend of the cortical electric field and the determinants of the induced electric field in the endodermis at different ages during the adult life cycle. In this study, we used SimNIBS software to perform MR image segmentation and realistic head model reconstruction on 476 individuals (aged 18 to 88 years old) and calculated the cortical electric field of four electrode montages commonly used in cognitive tasks. We divided all participants into groups by age with a span of 10 years for each group and compared the electric field distribution patterns, electric field intensities, and focalities of the cortexes and regions of interest related to cognitive tasks within groups. The degree of influence of global and local anatomical parameters on the electric field was analyzed using a stepwise regression model. The results showed that, in the cortexes and regions of interest, the variability of electric field distribution patterns was highest in adolescents (<20 years old) and elderly individuals (>80 years old). Moreover, throughout the adult lifespan, the electric field induced by transcranial electrical stimulation did not decrease linearly with age but rather presented a U-shaped pattern. In terms of the entire adult life cycle, compared with global anatomical parameters (intracranial brain tissue volume), local anatomical parameters (such as scalp or skull thickness below the electrode) have a greater impact on the amplitude of the intracranial electric field. Our research results indicated that it is necessary to consider the effects caused by different brain tissues when using transcranial electrical stimulation to modulate or treat individuals of different ages.

Indexed as

AgingBrainTranscranial Direct Current StimulationAdolescentAdultAgedAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung Adultageanatomic parameterselectric fieldindividual variabilitytranscranial electrical stimulation (tES)

Identifiers

PMID40136982
PMCPMC11940117

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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.