Interregional causal influences of brain metabolic activity reveal the spread of aging effects during normal aging

Abstract

During healthy brain aging, different brain regions show anatomical or functional declines at different rates, and some regions may show compensatory increases in functional activity. However, few studies have explored interregional influences of brain activity during the aging process. We proposed a causality analysis framework combining high dimensionality independent component analysis (ICA), Granger causality, and least absolute shrinkage and selection operator regression on longitudinal brain metabolic activity data measured by Fludeoxyglucose positron emission tomography (FDG–PET). We analyzed FDG–PET images from healthy old subjects, who were scanned for at least five sessions with an averaged intersession interval of 1 year. The longitudinal data were concatenated across subjects to form a time series, and the first‐order autoregressive model was used to measure interregional causality among the independent sources of metabolic activity identified using ICA. Several independent sources with reduced metabolic activity in aging, including the anterior temporal lobe and orbital frontal cortex, demonstrated causal influences over many widespread brain regions. On the other hand, the influenced regions were more distributed, and had smaller age‐related declines or even relatively increased metabolic activity. The current data demonstrated interregional spreads of aging on metabolic activity at the scale of a year, and have identified key brain regions in the aging process that have strong influences over other regions.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 07, 2019
Source ID
10.1002/hbm.24728

Entities

People

  • Bernd J. Pichler
  • Bharat B. Biswal
  • Hans Wehrl
  • Marie Wölfer
  • Mario Amend
  • The Alzheimer’s Disease Neuroimaging Initiative*
  • Tudor M. Ionescu
  • Xin Di

Organizations

  • AbbVie
  • Alzheimer's Association
  • Alzheimer's Disease Neuroimaging Initiative
  • Alzheimer's Drug Discovery Foundation
  • BioClinica
  • Biogen
  • Bristol-Myers Squibb
  • Canadian Institutes of Health Research
  • Chiron Corporation
  • Eli Lilly and Company
  • Foundation for the National Institutes of Health
  • GE HealthCare
  • Hoffmann-La Roche
  • Laboratoires Servier
  • Leibniz Institute for Neurobiology
  • Lundbeck
  • Merck & Co.
  • National Institute of Biomedical Imaging and Bioengineering
  • National Institute on Aging
  • National Institutes of Health
  • New Jersey Institute of Technology
  • Norman Cousins Center for Psychoneuroimmunology
  • Northern California Institute for Research and Education
  • Pfizer
  • Roche (United States)
  • Takeda Pharmaceutical Company
  • United States Department of Defense
  • University of Electronic Science and Technology of China
  • University of Magdeburg
  • University of Tübingen

Tags

Readers

  • Neural Network Machine Learning.
  • Neuroscience
  • Statistical inference.

Technology Areas

  • Space