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相关概念视频

¹H NMR: Long-Range Coupling01:27

¹H NMR: Long-Range Coupling

2.6K
The coupling interactions of nuclei across four or more bonds are usually weak, with J values less than 1 Hz. While these are usually not observed in spectra, the presence of multiple bonds along the coupling pathway can result in observable long-range coupling.
In alkenes, spin information is communicated via σ–π overlap, as seen in allylic (four-bond) and homoallylic (five-bond) couplings. These coupling interactions are stronger when the σ bond is parallel to the alkene...
2.6K
Spin–Spin Coupling: Three-Bond Coupling (Vicinal Coupling)01:22

Spin–Spin Coupling: Three-Bond Coupling (Vicinal Coupling)

1.5K
Vicinal or three-bond coupling is commonly observed between protons attached to adjacent carbons. Here, nuclear spin information is primarily transferred via electron spin interactions between adjacent C‑H bond orbitals. This generally favors the antiparallel arrangement of spins, so 3J values are usually positive.
The extent of coupling depends on the C‑C bond length, the two H‑C‑C angles, any electron-withdrawing substituents, and the dihedral angle between the involved orbitals. The...
1.5K
Frequency Response of a Circuit01:20

Frequency Response of a Circuit

629
Inductive circuits present intriguing challenges in electrical engineering, particularly during the transition from the time domain to the frequency domain. This transformation involves converting inductors into impedances and utilizing phasor representation.
The transfer function is pivotal in characterizing how these circuits react to various frequencies, facilitating a profound understanding of their behavior. An essential parameter is the time constant, signifying the...
629
NMR Spectroscopy: Spin–Spin Coupling01:08

NMR Spectroscopy: Spin–Spin Coupling

3.0K
The spin state of an NMR-active nucleus can have a slight effect on its immediate electronic environment. This effect propagates through the intervening bonds and affects the electronic environments of NMR-active nuclei up to three bonds away; occasionally, even farther. This phenomenon is called spin–spin coupling or J-coupling. Coupling interactions are mutual and result in small changes in the absorption frequencies of both nuclei involved. While nuclei of the same element are involved...
3.0K
Oscillations In An LC Circuit01:30

Oscillations In An LC Circuit

3.0K
An idealized LC circuit of zero resistance can oscillate without any source of emf by shifting the energy stored in the circuit between the electric and magnetic fields. In such an LC circuit, if the capacitor contains a charge q before the switch is closed, then all the energy of the circuit is initially stored in the electric field of the capacitor. This energy is given by
3.0K
¹H NMR Signal Multiplicity: Splitting Patterns01:13

¹H NMR Signal Multiplicity: Splitting Patterns

6.5K
When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
6.5K

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相关实验视频

Updated: Jan 15, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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功能连接是由非周期性的,而不是振荡性的合主导的.

N Monchy1, J Duprez1, J-F Houvenaghel1,2

  • 1Univ Rennes, LTSI - U1099, Rennes F-35000, France.

The Journal of neuroscience : the official journal of the Society for Neuroscience
|October 8, 2025
PubMed
概括

大多数功能连接 (FC) 研究可能是分析无周期性大脑活动,而不是真正的神经振荡. 这项研究强调,非周期信号主导着三角形,三角形,马和β网络,影响对大脑功能的解释.

关键词:
没有周期性的活动.功能连接性的功能连接性振荡的振荡是如何发生的

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Last Updated: Jan 15, 2026

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科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.
  • 脑部成像 脑部成像

背景情况:

  • 功能连接 (FC) 分析对于理解健康和疾病中的大脑电路至关重要.
  • 传统的FC方法假设信号反映神经振荡,但可能会将它们与非振荡性无周期活动混为一谈.

研究的目的:

  • 在人脑电图 (EEG) 数据中量化无周期性神经活动对重建的振荡功能网络的贡献.
  • 调查静止状态和基于任务的FC是否主要反映振荡或非周期性过程.

主要方法:

  • 分析了两个人类EEG数据库 (休息状态和认知任务记录).
  • 量化非周期性活动对不同频段 (delta,theta,alpha,beta,gamma) 的功能网络的贡献.

主要成果:

  • 周期性活动驱动大约99%的三角形,三角形和马网络,超过90%的β网络.
  • 23%至61%的α功能网络也是由非周期性活动驱动的.
  • 振荡功能网络可能比通常认为的稀少得多.

结论:

  • 大多数使用静止状态数据的当前FC研究可能反映的是无周期网络,而不是振荡网络.
  • 研究人员应该在估计统计合之前验证无周期性无偏的神经振荡的存在,以提高FC研究的稳定性和可解释性.