MXene Nanomaterial Interfaces: Pioneering Neural Signal Recording for Brain-Computer Interfaces and Cognitive Therapy.

Anila Mukhtiar, Nabisab Mujawar Mubarak, Mohamed Aly Saad Aly

Abstract readReview

In one paragraph

Review in Topics in current chemistry (Cham), 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

3 authors.

Anila MukhtiarDepartment of Chemistry, COMSATS University Islamabad, Islamabad, 45550, Pakistan.

Nabisab Mujawar MubarakDepartment of Chemical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia. MNSMujawar@imamu.edu.sa.

Mohamed Aly Saad AlySchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

Funding

Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University (IMSIU) IMSIU-DDRSP2601

6 · The paper itself

Abstract

The development of cost-effective, high-accuracy MXene-based electrode devices is a promising approach for monitoring brain activity. The high conductivity and controllable surface chemistry make MXenes viable for neural stimulation and recording applications. In this review article of MXene integration into neural devices, we analyze the role of MXenes in advancing next-generation brain-computer interfaces (BCIs). High-resolution neural interfaces can be studied through cognitive rehabilitation investigations that examine real-time signal decoding capabilities and feedback systems in these devices. In addition to a summary of recent experimental findings from in vitro and in vivo models, the article also discusses engineering strategies for optimizing MXene-based systems for neural applications. The clinical implementation of future technologies must address challenges related to material stability and compatibility with biological tissues, as well as device miniaturization requirements. This investigation aims to evaluate MXenes as transformative materials that could drive breakthroughs in neural interface technology while advancing brain-machine interface functionality.

Indexed as

Brain-Computer InterfacesNanostructuresAnimalsBrainHumansNitritesTransition ElementsMXeneNitritesTransition ElementsBioelectronicsCognitive therapeuticsIn vivo neuroengineeringMXenesNeural stimulationTunable surface chemistry

Identifiers

PMID41940909

DOI10.1021/acsomega.5c03258

What Socratic holds

Textmetadata

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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 Socratic graph.