节奏
神经生理学
神经科学
瞬态(计算机编程)
建筑
计算机科学
神经活动
动力学(音乐)
人脑
认知
维数(图论)
脑电图
信号(编程语言)
光谱分析
人工智能
认知科学
特征(语言学)
感知
神经集成
神经系统
振荡(细胞信号)
心理学
大脑活动与冥想
语音识别
基础(线性代数)
人工神经网络
模式识别(心理学)
沟通
物理
系列(地层学)
大脑皮层
神经网络
作者
Golan Karvat,Maité Crespo‐García,Gal Vishne,Michael C. Anderson,Ayelet Landau
标识
DOI:10.1038/s41467-026-73553-8
摘要
Understanding the organizing principles of brain activity can advance neurotechnology and medical diagnosis. Traditionally, neural activity is viewed as consisting oscillations in distinct frequency bands. However, emerging evidence suggests these oscillations often manifest as transient bursts rather than sustained rhythms. We examine the hypothesis that rhythmicity (sustained vs bursty) adds a further dimension to brain organization. Using a rhythmicity measure, we segment neurophysiological spectra from 859 participants across datasets, species, recording techniques, ages 18-88, sexes, brain regions, and cognitive states in health and disease. Our results reveal a universal rhythmicity-resolved spectral architecture with two categories: high-rhythmicity bands exhibiting sustained oscillations and new low-rhythmicity bands dominated by brief bursts. This architecture reflects two modes of operation: sustained bands suitable for maintaining ongoing activity, and transient bands which can signal responses to change. The rhythmicity-resolved architecture provides a unifying framework that bridges human and non-human findings, enables individualized spectral definitions, and offers a principled basis for understanding brain activity.
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