Resting-state EEG network change in alpha and beta bands after upper limb amputation

To investigate the reorganization of functional brain network following amputation, twenty-two right-hand amputees and twenty-four age- and education-matched controls participated in a resting-state EEG study. EEG networks in alpha and beta bands were constructed using phase synchronization. Both global and local network parameters were compared between amputees and healthy controls. In the aspect of global connectivity, amputees showed increased clustering coefficient (C), decreased characteristic path length (L) and increased small worldness (S) in alpha band, and an increase of L in beta band. Meanwhile, in comparison with the controls, the right-hand amputees have lower nodal degree (k) in the sensorimotor cortex but higher k in the parietal area in the right hemisphere in alpha band. These alterations of network following amputation implied a decreased inhibition from the intact sensorimotor area and increased connections in the right parietal area, which supported the unmasking theory. Such connectivity changes might also relate to the phantom limb phenomenon.

[1]  T. Elbert,et al.  Phantom-limb pain as a perceptual correlate of cortical reorganization following arm amputation , 1995, Nature.

[2]  T. Elbert,et al.  Plasticity of plasticity? Changes in the pattern of perceptual correlates of reorganization after amputation. , 1998, Brain : a journal of neurology.

[3]  F. L. D. Silva,et al.  Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.

[4]  H. Flor,et al.  A neural substrate for nonpainful phantom limb phenomena , 2000, Neuroreport.

[5]  V Latora,et al.  Efficient behavior of small-world networks. , 2001, Physical review letters.

[6]  Mark S. Cohen,et al.  Simultaneous EEG and fMRI of the alpha rhythm , 2002, Neuroreport.

[7]  H. Flor,et al.  Phantom limb pain: a case of maladaptive CNS plasticity? , 2006, Nature Reviews Neuroscience.

[8]  J. Klein,et al.  Human Motor Corpus Callosum: Topography, Somatotopy, and Link between Microstructure and Function , 2007, The Journal of Neuroscience.

[9]  W. M. van der Flier,et al.  Functional neural network analysis in frontotemporal dementia and Alzheimer's disease using EEG and graph theory , 2009, BMC Neuroscience.

[10]  Olaf Sporns,et al.  Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.

[11]  Bharat B. Biswal,et al.  Interhemispheric neuroplasticity following limb deafferentation detected by resting-state functional connectivity magnetic resonance imaging (fcMRI) and functional magnetic resonance imaging (fMRI) , 2010, NeuroImage.

[12]  C. Stam,et al.  r Human Brain Mapping 32:413–425 (2011) r Network Analysis of Resting State EEG in the Developing Young Brain: Structure Comes With Maturation , 2022 .

[13]  Roland R. Lee,et al.  Xenomelia: a new right parietal lobe syndrome , 2011, Journal of Neurology, Neurosurgery & Psychiatry.

[14]  Ivanei E. Bramati,et al.  Functional Expansion of Sensorimotor Representation and Structural Reorganization of Callosal Connections in Lower Limb Amputees , 2012, The Journal of Neuroscience.

[15]  Shanbao Tong,et al.  Phase Synchronization Analysis of EEG Signals: An Evaluation Based on Surrogate Tests , 2012, IEEE Transactions on Biomedical Engineering.

[16]  Irene Tracey,et al.  Network-level reorganisation of functional connectivity following arm amputation , 2015, NeuroImage.

[17]  H. Flor,et al.  Phantom limb perception interferes with motor imagery after unilateral upper-limb amputation , 2016, Scientific Reports.