Behavior-iEEG-Spectral-Power-Correlation: Defining Neural Substrates of Naturalistic Behavior.

IF 7.7 1区 医学 Q1 CLINICAL NEUROLOGY
Brian Ervin, Clayton Frink, Jason Buroker, Paul S Horn, Anna W Byars, Craig Scholle, Hansel M Greiner, Francesco T Mangano, Katherine D Holland, Gregory Hickok, Nathan E Crone, Ravindra Arya
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引用次数: 0

Abstract

Objective: Intracranial language localization with electrical stimulation mapping (ESM) and high-gamma modulation (HGM) mapping relies on artificial, repetitive tasks, requiring sustained cooperation from patients. Herein, we tested the validity of unstructured, interpersonal, naturalistic conversation for language localization, using a novel methodology: Behavior-iEEG-Spectral-Power correlation (BESPoC). We first validated BESPoC against ESM, HGM, and neuropsychological outcomes using well-established language tasks, then demonstrated the validity of naturalistic conversation.

Methods: We included 134 patients (59 females), aged 2-29 years, undergoing standard-of-care stereo-electroencephalography monitoring who engaged in picture naming, auditory naming, story listening, and conversed with a family member. ESM and HGM analysis were performed using established methods. BESPoC methodology quantified correlation between stereo-electroencephalography spectral power from task recordings, obviating the need for any trial-based epochs, and behavioral markers. The large sample size allowed mixed-effects modeling to compare BESPoC with HGM and ESM.

Results: BESPoC showed high specificity (0.79-0.83) and sensitivity (0.64-0.86) for localizing HGM language sites across the tasks. BESPoC also compared well with HGM across all language tasks for localizing ESM speech/language sites. With conventional tasks, BESPoC was superior to HGM for modeling neuropsychological deficits seen, despite preserving ESM speech/language sites. Naturalistic conversation compared well with standard tasks for localization of HGM and ESM language sites, and determined neuropsychological outcomes better than conventional tasks.

Interpretation: Using BESPoC methodology naturalistic conversation is shown to produce valid cortical language maps of both expressive and receptive language, and determine neuropsychological outcomes after epilepsy surgery. ANN NEUROL 2025.

行为- eeg -频谱-功率相关性:定义自然行为的神经基础。
目的:颅内语言定位的电刺激映射(ESM)和高伽马调制(HGM)映射依赖于人工的、重复的任务,需要患者的持续合作。在此,我们使用一种新颖的方法:行为- eeg -频谱-功率相关(BESPoC)来测试非结构化、人际关系、自然对话对语言定位的有效性。我们首先通过完善的语言任务验证了BESPoC对ESM、HGM和神经心理学结果的影响,然后证明了自然对话的有效性。方法:我们纳入134例患者(59例女性),年龄2-29岁,接受标准护理立体脑电图监测,参与图片命名,听觉命名,故事听,并与家庭成员交谈。采用既定方法进行ESM和HGM分析。BESPoC方法量化了任务记录的立体脑电图频谱功率与行为标记之间的相关性,避免了任何基于试验的时代的需要。大样本量允许混合效应建模来比较BESPoC与HGM和ESM。结果:BESPoC在跨任务定位HGM语言位点方面具有较高的特异性(0.79-0.83)和敏感性(0.64-0.86)。在ESM语音/语言站点本地化的所有语言任务中,与HGM相比,BESPoC也表现良好。在常规任务中,尽管保留了ESM语音/语言位点,但BESPoC在模拟神经心理缺陷方面优于HGM。与标准任务相比,自然对话在HGM和ESM语言位点定位方面表现良好,并比传统任务更好地确定了神经心理结果。解释:使用BESPoC方法,自然对话可以产生有效的表达性语言和接受性语言的皮层语言图,并确定癫痫手术后的神经心理学结果。Ann neurol 2025。
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来源期刊
Annals of Neurology
Annals of Neurology 医学-临床神经学
CiteScore
18.00
自引率
1.80%
发文量
270
审稿时长
3-8 weeks
期刊介绍: Annals of Neurology publishes original articles with potential for high impact in understanding the pathogenesis, clinical and laboratory features, diagnosis, treatment, outcomes and science underlying diseases of the human nervous system. Articles should ideally be of broad interest to the academic neurological community rather than solely to subspecialists in a particular field. Studies involving experimental model system, including those in cell and organ cultures and animals, of direct translational relevance to the understanding of neurological disease are also encouraged.
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