Spontaneous back-pain alters randomness in functional connections in large scale brain networks: A random matrix perspective

@article{Matharoo2019SpontaneousBA,
  title={Spontaneous back-pain alters randomness in functional connections in large scale brain networks: A random matrix perspective},
  author={Gurpreet S. Matharoo and Javeria Ali Hashmi},
  journal={Physica A: Statistical Mechanics and its Applications},
  year={2019}
}
  • G. MatharooJ. Hashmi
  • Published 31 October 2019
  • Psychology
  • Physica A: Statistical Mechanics and its Applications
2 Citations

Figures from this paper

Random matrix analysis of multiplex networks

Quantifying Nonrandomness in Evolving Networks

  • P. PandeyM. Singh
  • Computer Science
    IEEE Transactions on Computational Social Systems
  • 2020
This article empirically showcase severe limitations associated with the state-of-the-art graph spectral-based quantification approaches and introduces a novel graph signature (termed “cumulative spectral difference”) to visualize the nonrandomness in the network.

References

SHOWING 1-10 OF 58 REFERENCES

Brain resting state is disrupted in chronic back pain patients

Shape shifting pain: chronification of back pain shifts brain representation from nociceptive to emotional circuits.

Brain representation for a constant percept, back pain, can undergo large-scale shifts in brain activity with the transition to chronic pain, and these observations challenge long-standing theoretical concepts regarding brain and mind relationships.

Classification and characterisation of brain network changes in chronic back pain: A multicenter study

Brain network architecture is investigated using resting state fMRI data collected from chronic back pain patients in UK and Japan using a machine learning approach, and evidence of consistent and characteristic brain network changes in chronic pain is provided.

Classification and characterisation of brain network changes in chronic back pain: A multicenter study.

Brain network architecture is investigated using resting-state fMRI data in chronic back pain patients in the UK and Japan as well as open data from USA to find a consensus pattern of modular reorganisation involving extensive, bilateral regions of sensorimotor cortex.

Multiple brain networks mediating stimulus-pain relationships in humans

A new high-dimensional mediation analysis technique is introduced to estimate distributed, network-level patterns mediating the relationship between stimulus intensity and pain, and provides a new, broader view of the networks underlying pain experience, as well as distinct targets for interventions.

Beyond Feeling: Chronic Pain Hurts the Brain, Disrupting the Default-Mode Network Dynamics

It is proposed that long-term pain alters the functional connectivity of cortical regions known to be active at rest, i.e., the components of the “default mode network” (DMN), and suggested that disruptions of the DMN may underlie the cognitive and behavioral impairments accompanying chronic pain.

Brain Morphological Signatures for Chronic Pain

It is found that different chronic pain types exhibit unique anatomical ‘brain signatures’, and brain reorganization with pain chronicity was 6 times slower and twice as large in CBP in comparison to CRPS, relative to healthy controls.

Spectral properties of the temporal evolution of brain network structure.

This paper uses eigenvalue analysis to analyze the global properties of eigenvalues and the random matrix theory (RMT) method to measure the local properties, and provides deeper insight into the importance of spectral properties in the functional brain network, especially the incomparable role of RMT in revealing the intrinsic properties of complex systems.
...