个人基于连接的分片反映了人类听觉皮层的功能性质
M Hakonen1,2, L Dahmani1,2, K Lankinen1,2
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Charlestown, MA, USA.
bioRxiv : the preprint server for biology
|January 31, 2024
概括
这项研究表明,使用功能网络分析和高分辨率fMRI进行个体脑部扫描,可以可靠地绘制独特的听觉皮层组织. 个体特定的大脑图更好地反映了个人听觉功能,而不是群体平均值.
科学领域:
- 神经成像是一种神经成像.
- 听觉神经科学 听觉神经科学
- 人类大脑绘制地图
背景情况:
- 听力皮层的传统神经成像研究依赖于小组分析,可能会掩盖个体差异.
- 了解人类上皮层 (STC) 的功能组织对于听觉处理研究至关重要.
研究的目的:
- 用个人特定的功能网络分片来绘制人类STC中的听觉区域.
- 调查这些分片在个人和会话中的可靠性和可变性.
- 为了确定个人特定的分片是否比组级分析更好地代表听觉功能.
主要方法:
- 在30名参与者中利用1毫米同otropic分辨率的7特斯拉功能磁共振成像 (fMRI).
- 在休息状态和听觉/视听语音定位器fMRI数据上使用功能网络分析.
- 创建并评估基于网络的功能分片,选择基于子和轮值的4,6和11网络的解决方案.
主要成果:
- 听力皮层的分片显示出高的个体内可重复性 (Dice:69-78%的休息状态,62-73%的休息状态与任务).
- 分片中的个人间的变化明显大于个人内部的变化 (Dice:57-68%).
- 个人特定的分片显示出与任务响应地形和更高的连接同质性的优越对齐,优于组级方法.
结论:
- 基于功能网络的分片可靠地在单个层面上对STC中的听觉区域进行细分.
- 个体特定的分片捕捉了听觉皮层组织中的有意义的特异性,反映了听觉功能中的个体差异.
- 观察到的功能变异性并不能通过宏观解剖学相似性来解释,这凸显了功能映射的重要性.
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