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Aging01:26

Aging

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Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
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Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation
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Accelerated brain aging in chronic low back pain.

Gary Z Yu1, Maria Ly2, Helmet T Karim3

  • 1Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.

Brain Research
|January 10, 2021
PubMed
Summary

Chronic low back pain (CLBP) is linked to accelerated brain aging, especially in older adults. This brain age gap widens with age, indicating significant neurodegenerative changes in CLBP patients.

Keywords:
AgingChronic low back painMachine learningStructural neuroimaging

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Area of Science:

  • Neuroscience
  • Radiology
  • Gerontology

Background:

  • Chronic low back pain (CLBP) is a major cause of disability.
  • CLBP is associated with neurodegenerative brain changes, mimicking accelerated aging.
  • Brain aging patterns may offer insights into CLBP-related cognitive decline.

Purpose of the Study:

  • To investigate accelerated brain aging in CLBP patients using machine learning-based brain age estimation.
  • To determine the relationship between brain age, chronological age, and group status (CLBP vs. controls).
  • To explore differences in grey matter density between CLBP patients and healthy controls.

Main Methods:

  • Utilized structural neuroimaging data from 31 CLBP patients and 32 healthy controls.
  • Estimated brain age (BA) using a machine learning algorithm based on grey matter density.
  • Employed multivariable linear modeling and voxel-wise analyses to compare brain structure and BA.

Main Results:

  • An interaction effect showed a greater brain age discrepancy in older CLBP individuals.
  • CLBP patients exhibited reduced cerebellar grey matter density compared to controls.
  • Higher brain age was associated with lower grey matter density across multiple brain regions in CLBP patients.

Conclusions:

  • CLBP is associated with accelerated brain aging, particularly pronounced in older individuals.
  • Brain age serves as a sensitive metric for detecting widespread grey matter density differences in CLBP.
  • These findings highlight the neurodegenerative impact of CLBP and its potential to accelerate brain aging.