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MINI REVIEW article

Front. Pharmacol.

Sec. Neuropharmacology

Bridging the Translational Gap in Systems Neuroscience: From 1 Circuit Mechanisms to Clinical Therapeutics

Provisionally accepted
Anyin  WangAnyin Wang1Jiale  YeJiale Ye2Jie  LiJie Li2Xiaoqin  ChenXiaoqin Chen1Qiaoyan  WangQiaoyan Wang3Kunwei  WuKunwei Wu2*
  • 1Chongqing Liangping District People's Hospital, Chongqing, China
  • 2Xuzhou Medical University, Xuzhou, China
  • 3The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China

The final, formatted version of the article will be published soon.

The advent of optogenetics, chemogenetics, and high-density neural recording technologies has propelled 18 systems neuroscience into a golden age, generating unprecedented mechanistic insights into how defined neural 19 circuits orchestrate behaviour. These tools have allowed us to move beyond correlational observations to establish 20 causal links between specific circuit dynamics and behavioural states. However, a profound and disheartening 21 translational dilemma has emerged: the pace at which these foundational discoveries in model organisms have 22 yielded novel, effective therapeutics for human neuropsychiatric disorders remains glacial. This review argues that 23 this dilemma is not a failure of the science itself but a consequence of a multi-layered gulf between basic discovery 24 and clinical application. This gulf encompasses technological, phenomenological, and biological disparities. We 25 analyse the roots of this impasse and propose a concerted, multi-pronged strategy to bridge it, focusing on 26 back-translation, cross-species behavioural dimensionalization, the development of non-invasive neuromodulation, 27 and the fostering of deeply integrated interdisciplinary collaborations. The path forward requires a fundamental shift 28 in how we design, interpret, and prioritize neural circuit research with translation in mind.

Keywords: Deep Brain Stimulation, Neural Network, Neuromodulation, optogenetics, Therapeutics, Translational Neuroscience

Received: 20 Jan 2026; Accepted: 11 Feb 2026.

Copyright: © 2026 Wang, Ye, Li, Chen, Wang and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Kunwei Wu

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