在异声声症中改变了内在的大脑连接,有或没有超声
Shagun Ajmera1, Rafay A Khan1, Gibbeum Kim2
1Neuroscience Program, University of Illinois Urbana-Champaign, Champaign, IL, USA; Beckman Institute for Advanced Science & Technology, University of Illinois Urbana-Champaign, Champaign, IL, USA.
Hearing research
|December 31, 2025
概括
失声症和听力过度症涉及不同的大脑连接模式. 识别这些神经标志物有助于开发针对声音不耐受症的向治疗方法.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 医疗成像医学成像
背景情况:
- 杂音声和噪音过敏是声音不耐受症的情况,具有显著的重叠.
- 区分这些疾病的明确神经支仍然不清楚.
- 了解这些差异对于有效治疗至关重要.
研究的目的:
- 为了识别神经连接标记,区分失声症和失声症.
- 为了研究失声症的神经基础,无论是孤立的还是与超声症共存时.
- 探索神经科学信息的干预措施的潜在目标.
主要方法:
- 使用了静止状态功能磁共振成像 (fMRI) 数据.
- 采用机器学习框架来分析超过85,000个功能连接.
- 通过结构化访谈将参与者分类为只有失声症 (MI),失声症与声音过高 (MH) 和控制 (CTR) 组.
主要成果:
- 机器学习模型准确地将MI和MH与CTR组区分开来 (分别准确率为63%和67%).
- 共同的神经变化在异声症观察到突出,体运动,和前对对面网络.
- 鉴定出了不同的连接模式:基础质/皮质下对心脏病发作,高阶视觉网络对MH.
结论:
- 建立了基于大脑连接的失声症和超声症之间的神经生物学分离.
- 强调诊断分离对于研究和临床实践的重要性.
- 确定了特定的大脑网络 ( Salience,控制电路) 作为基于心理学的错听症干预的潜在目标.
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