The Modern Lobotomy: Closed-Loop Neuromodulation, Normalization by Algorithm, and the Disappearance of the Deviant Mind.

Q1 Neuroscience
Andrew Joshua Parra
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引用次数: 0

Abstract

Closed-loop neuromodulation systems, particularly adaptive deep brain stimulation, mark a new phase in psychiatric intervention, extending from psychosurgery through pharmacological stabilization to automated algorithmic regulation. Drawing on Foucauldian genealogy and research on adaptive deep brain stimulation, this article develops the concept of "normalization by algorithm" to describe how algorithmic systems embed normative judgments about desirable cognition and affect within automated architectures operating below awareness. Their therapeutic potential for severe conditions like treatment-resistant depression and obsessive-compulsive disorder is assessed in full, while questioning whether the neural patterns these devices target are always separable symptoms rather than constitutive aspects of identity. Continuous modulation deepens this problem by eroding the evaluative standpoint consent requires, making withdrawal formally possible but substantively elusive as the device shapes the preferences through which it would be chosen. Institutional incentives then threaten diffusion beyond therapeutic settings, pressing the question of who defines neural norms and what becomes of agency when correction is continuous.

现代脑白质切除术:闭环神经调节,算法正常化,以及异常思维的消失。
闭环神经调节系统,特别是适应性深部脑刺激,标志着精神病学干预的一个新阶段,从精神外科到药物稳定再到自动算法调节。借鉴福柯谱系和对适应性深部脑刺激的研究,本文发展了“算法规范化”的概念,以描述算法系统如何在意识以下运行的自动化架构中嵌入关于理想认知和影响的规范性判断。他们对难治性抑郁症和强迫症等严重疾病的治疗潜力进行了全面评估,同时质疑这些设备针对的神经模式是否总是可分离的症状,而不是身份的组成部分。持续调制通过侵蚀同意所要求的评估立场而加深了这一问题,使退出在形式上成为可能,但在实质上却难以捉摸,因为设备塑造了选择它的偏好。然后,制度激励威胁到治疗环境之外的扩散,从而提出了由谁来定义神经规范以及当矫正持续进行时,代理会变成什么这样的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
AJOB Neuroscience
AJOB Neuroscience Neuroscience-Neuroscience (all)
CiteScore
12.20
自引率
0.00%
发文量
48
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