中国神经再生研究(英文版) ›› 2023, Vol. 18 ›› Issue (7): 1489-1490.doi: 10.4103/1673-5374.361541

• 观点:脑损伤修复保护与再生 • 上一篇    下一篇

与脑部疾病有关的功能超连接性:适应不良的过程还是复原力的要素?

  


  • 出版日期:2023-07-15 发布日期:2023-01-11

Functional hyperconnectivity related to brain disease: maladaptive process or element of resilience?

Markus Aswendt, Mathias Hoehn*   

  1. Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany (Aswendt M)
    Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Juelich, Juelich, Germany (Aswendt M, Hoehn M)
  • Online:2023-07-15 Published:2023-01-11
  • Contact: Mathias Hoehn, MD, m.hoehn@fz-juelich.de.
  • Supported by:
    MA gratefully acknowledges financial support by the Friebe Foundation: project ID T0498/28960/16 and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation): project ID 431549029–SFB 1451.

摘要: https://orcid.org/0000-0001-5996-7572 (Mathias Hoehn)
https://orcid.org/0000-0003-1423-0934 (Markus Aswendt)

Abstract: Neuroimaging techniques such as magnetic resonance imaging (MRI) and positron emission tomography provide unique in vivo data to analyze structural and functional connectivity of the whole brain. Recent advances in small animal neuroimaging have opened new opportunities for the study of structure-function interactions in healthy and diseased brain networks, which are essential to develop therapies targeting network reorganization associated with functional improvement. Based on clinical studies, a common network response to acute neurological insult (e.g., stroke) and neurodegeneration (e.g., Alzheimer’s disease) is hyperconnectivity, i.e., an increase of functional connectivity strength above (healthy) control levels, a process which is, however, not well understood. For example, in resting-state functional MRI (rs-fMRI), which measures the hemodynamic response to neuronal activity, hyperconnectivity would refer to a drastic increase in the correlation between two regional time series. In absence of an absolute threshold defining hyperconnectivity, it relates to a control group or baseline measurement before intervention. It was hypothesized that hyperconnectivity follows a nonlinear distribution  representing an interaction between actual demands, injury severity, and resource availability  (Hillary and Grafman, 2017). Hyperconnectivity is significantly larger than transient variability in functional networks. The increase in connectivity follows a nonlinear distribution that reaches a maximum and transitions to a state of hypo-connectivity when a critical loss of structural resources is reached (Figure 1). As an extension of this hypothesis, we consider hyperconnectivity as part of an understudied and not well understood compensatory mechanism, which is embedded in the framework of the brain’s resilience capacity to respond to (network) disturbances.