Evidence map›Paper›PMID 42328496›Full record

ArticleIEEE open journal of engineering in medicine and biology2026

Transcranial Temporal Interference Stimulation: A Brief Review of Architectures, Circuits, and Application Challenges.

Arnau Diez-Clos, Simona Losacco, Alejandro D Fernandez Schrunder, Stephane Emery, Friedhelm C Hummel, Mahsa Shoaran, Komail Badami

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Arnau Diez-ClosCSEM 8005 Zurich Switzerland.ORCID https://orcid.org/0009-0008-9171-7483
Simona LosaccoNeuro-X Institutecole Polytechnique Fdrale de Lausanne 1202 Geneva Switzerland.ORCID https://orcid.org/0009-0004-5389-5140
Alejandro D Fernandez SchrunderCSEM 8005 Zurich Switzerland.
Stephane EmeryCSEM 8005 Zurich Switzerland.ORCID https://orcid.org/0000-0001-9201-8459
Friedhelm C HummelNeuro-X Institutecole Polytechnique Fdrale de Lausanne 1015 Geneva Switzerland.ORCID https://orcid.org/0000-0002-4746-4633
Mahsa ShoaranInstitute of Electrical and Micro Engineeringcole Polytechnique Fdrale de Lausanne 1015 Lausanne Switzerland.ORCID https://orcid.org/0000-0002-6426-4799
Komail BadamiCSEM 8005 Zurich Switzerland.ORCID https://orcid.org/0009-0007-3511-6686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninvasive neuromodulation methods are promising for treating neurological diseases, but generally have limited ability to selectively target deep brain structures such as the basal ganglia or hippocampus. Transcranial temporal Interference Stimulation (tTIS) overcomes this limitation by superimposing high-frequency electric fields to create low-frequency amplitude-modulated envelopes that can preferentially target deep brain structures. This review explores the operation principles and recent advances of tTIS aimed at improving its spatial accuracy and versatility. Additionally, we analyze the key aspects of tTIS system design, including waveform generation, high-voltage-compliant output stage, and real-time charge balancing, which collectively enable safe and efficient stimulation delivery. We further discuss key challenges such as safety, standardization, and long-term efficacy, and outline future directions toward personalized tTIS.

Indexed as

Deep brain neuromodulationintegrated circuitsneuromodulation systemsnoninvasive stimulationtemporal interference stimulation

Identifiers

PMID42328496
PMCPMC13278750

What OpenQuestion holds

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LicenceCC BY
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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.