A Comparative Mechanistic Analysis of Neuralink in Neurological and Psychiatric Disorders: Evaluating Efficacy and Limitations

Over the past decades, brain-computer interface (BCI) technology has evolved from rudimentary attempts of recording neuronal firing rates to sophisticated systems capable of high-resolution data, but continued to face limitations regarding biocompatibility, flexibility, and signal fidelity. Addressing these challenges, Elon Musk introduced Neuralink in 2019, merging all the key elements into one integrated platform. Neuralink has outlined objectives of treating multiple neuropathologies including movement disorders (paralysis), neurodegenerative diseases (Alzheimer’s, Parkinson’s), psychiatric conditions (depression, addiction), and sensory impairments (blindness). While experts have remained skeptical about Neuralink’s wide range of proposed applications, most commentaries tend to extrapolate the result broadly, making premature generalization. This paper addresses that gap through a comparative mechanistic analysis of Neuralink’s three proposed applications, examining its key technological elements—thin-film polymer probes, high-density electrodes, robotic insertion, and machine-learning algorithms—and comparing them with existing research. By highlighting both reactive and proactive approaches demonstrated in the PRIME study, this paper evaluates how three disorder categories align with Neuralink’s existing technological framework, concluding that sensory impairments represent the most feasible application. The result offers guidance for future research and therapeutic efforts that expand upon Nueralink’s design, identifying the most promising directions for advancing Neuralink's design. However, based solely on theoretical mechanisms, this paper has limited discussion regarding the practical and ethical aspects, and lack robust empirical evidence supporting the conclusion drawn. In-depth, long-term clinical trials remain essential for truly validating the viability of Neuralink across the various disorders.

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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2025-06-27
DOI
https://doi.org/10.54097/hj7cqe37
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comparative Mechanistic Analysis of Neuralink in Neurological and Psychiatric Disorders: Evaluating Efficacy and Limitations

Qian Ren
Highlights in Science Engineering and Technology
EEG and Brain-Computer Interfaces
article

A Comparative Mechanistic Analysis of Neuralink in Neurological and Psychiatric Disorders: Evaluating Efficacy and Limitations

Qian Ren
article en

Abstract

Over the past decades, brain-computer interface (BCI) technology has evolved from rudimentary attempts of recording neuronal firing rates to sophisticated systems capable of high-resolution data, but continued to face limitations regarding biocompatibility, flexibility, and signal fidelity. Addressing these challenges, Elon Musk introduced Neuralink in 2019, merging all the key elements into one integrated platform. Neuralink has outlined objectives of treating multiple neuropathologies including movement disorders (paralysis), neurodegenerative diseases (Alzheimer’s, Parkinson’s), psychiatric conditions (depression, addiction), and sensory impairments (blindness). While experts have remained skeptical about Neuralink’s wide range of proposed applications, most commentaries tend to extrapolate the result broadly, making premature generalization. This paper addresses that gap through a comparative mechanistic analysis of Neuralink’s three proposed applications, examining its key technological elements—thin-film polymer probes, high-density electrodes, robotic insertion, and machine-learning algorithms—and comparing them with existing research. By highlighting both reactive and proactive approaches demonstrated in the PRIME study, this paper evaluates how three disorder categories align with Neuralink’s existing technological framework, concluding that sensory impairments represent the most feasible application. The result offers guidance for future research and therapeutic efforts that expand upon Nueralink’s design, identifying the most promising directions for advancing Neuralink's design. However, based solely on theoretical mechanisms, this paper has limited discussion regarding the practical and ethical aspects, and lack robust empirical evidence supporting the conclusion drawn. In-depth, long-term clinical trials remain essential for truly validating the viability of Neuralink across the various disorders.

Highlights in Science Engineering and TechnologyVol. 144
Tabor College (US)
Openalex Percentile: Top 86%
EEG and Brain-Computer Interfaces
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A Comparative Mechanistic Analysis of Neuralink in Neurological and Psychiatric Disorders: Evaluating Efficacy and Limitations — Qian Ren · Highlights in Science Engineering and Technology (2025) | TGRS Research Map | TGRS