Relationship among neuroimaging indices of cerebral health during normal aging

Peter Kochunov, Paul M. Thompson, Thomas R. Coyle, Jack L Lancaster, Valeria Kochunov, Donald R Royall, Jean Fransçois Mangin, Denis Rivière, Peter T Fox

Research output: Contribution to journalArticle

70 Citations (Scopus)

Abstract

Sensitive measures of brain aging show great promise for gauging factors that affect aging and degenerative processes, such as risk genes or therapy. Here we examined age-related trends for three indices of cerebral health: gyral gray matter (GM) thickness, dilation of sulcal spaces with CSF, and the volume of T2-hyperintense white matter (HWM) lesions. The study involved 31 healthy adults age 57-82 years old. Measurements of average GM thickness, average sulcal span and HWM volume were performed using high-resolution 3D T1- and T2-weighted brain MR images. Age-related trends for the three cerebral health indices were consistent with previously published work though the analysis of their covariance led to a previously unreported relationship. Simultaneous multiple regression found that dilation of cortical sulci were primarily (t = 2.59, P < 0.01) related to the increases in HWM volume and secondarily related (t = -2.51, P < 0.01) to the reductions of the cortical GM thickness. The are-corrected correlation between reduction in GM thickness and increases in HWM volume, was not significant (P = 0.34). These findings are of interest in designing quantitative measures of brain aging for monitoring individual patients and in large-scale clinical trials.

Original languageEnglish (US)
Pages (from-to)36-45
Number of pages10
JournalHuman Brain Mapping
Volume29
Issue number1
DOIs
StatePublished - Jan 2008

Fingerprint

Neuroimaging
Health
Dilatation
Brain
Physiologic Monitoring
Genetic Therapy
Clinical Trials
White Matter
Gray Matter

Keywords

  • Aging
  • Cerebrum
  • Gray matter thickness
  • Morphology

ASJC Scopus subject areas

  • Clinical Neurology
  • Neuroscience(all)
  • Radiological and Ultrasound Technology

Cite this

Relationship among neuroimaging indices of cerebral health during normal aging. / Kochunov, Peter; Thompson, Paul M.; Coyle, Thomas R.; Lancaster, Jack L; Kochunov, Valeria; Royall, Donald R; Mangin, Jean Fransçois; Rivière, Denis; Fox, Peter T.

In: Human Brain Mapping, Vol. 29, No. 1, 01.2008, p. 36-45.

Research output: Contribution to journalArticle

Kochunov, P, Thompson, PM, Coyle, TR, Lancaster, JL, Kochunov, V, Royall, DR, Mangin, JF, Rivière, D & Fox, PT 2008, 'Relationship among neuroimaging indices of cerebral health during normal aging', Human Brain Mapping, vol. 29, no. 1, pp. 36-45. https://doi.org/10.1002/hbm.20369
Kochunov, Peter ; Thompson, Paul M. ; Coyle, Thomas R. ; Lancaster, Jack L ; Kochunov, Valeria ; Royall, Donald R ; Mangin, Jean Fransçois ; Rivière, Denis ; Fox, Peter T. / Relationship among neuroimaging indices of cerebral health during normal aging. In: Human Brain Mapping. 2008 ; Vol. 29, No. 1. pp. 36-45.
@article{40321cf036824265bb63588e06483be9,
title = "Relationship among neuroimaging indices of cerebral health during normal aging",
abstract = "Sensitive measures of brain aging show great promise for gauging factors that affect aging and degenerative processes, such as risk genes or therapy. Here we examined age-related trends for three indices of cerebral health: gyral gray matter (GM) thickness, dilation of sulcal spaces with CSF, and the volume of T2-hyperintense white matter (HWM) lesions. The study involved 31 healthy adults age 57-82 years old. Measurements of average GM thickness, average sulcal span and HWM volume were performed using high-resolution 3D T1- and T2-weighted brain MR images. Age-related trends for the three cerebral health indices were consistent with previously published work though the analysis of their covariance led to a previously unreported relationship. Simultaneous multiple regression found that dilation of cortical sulci were primarily (t = 2.59, P < 0.01) related to the increases in HWM volume and secondarily related (t = -2.51, P < 0.01) to the reductions of the cortical GM thickness. The are-corrected correlation between reduction in GM thickness and increases in HWM volume, was not significant (P = 0.34). These findings are of interest in designing quantitative measures of brain aging for monitoring individual patients and in large-scale clinical trials.",
keywords = "Aging, Cerebrum, Gray matter thickness, Morphology",
author = "Peter Kochunov and Thompson, {Paul M.} and Coyle, {Thomas R.} and Lancaster, {Jack L} and Valeria Kochunov and Royall, {Donald R} and Mangin, {Jean Frans{\cc}ois} and Denis Rivi{\`e}re and Fox, {Peter T}",
year = "2008",
month = "1",
doi = "10.1002/hbm.20369",
language = "English (US)",
volume = "29",
pages = "36--45",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",
number = "1",

}

TY - JOUR

T1 - Relationship among neuroimaging indices of cerebral health during normal aging

AU - Kochunov, Peter

AU - Thompson, Paul M.

AU - Coyle, Thomas R.

AU - Lancaster, Jack L

AU - Kochunov, Valeria

AU - Royall, Donald R

AU - Mangin, Jean Fransçois

AU - Rivière, Denis

AU - Fox, Peter T

PY - 2008/1

Y1 - 2008/1

N2 - Sensitive measures of brain aging show great promise for gauging factors that affect aging and degenerative processes, such as risk genes or therapy. Here we examined age-related trends for three indices of cerebral health: gyral gray matter (GM) thickness, dilation of sulcal spaces with CSF, and the volume of T2-hyperintense white matter (HWM) lesions. The study involved 31 healthy adults age 57-82 years old. Measurements of average GM thickness, average sulcal span and HWM volume were performed using high-resolution 3D T1- and T2-weighted brain MR images. Age-related trends for the three cerebral health indices were consistent with previously published work though the analysis of their covariance led to a previously unreported relationship. Simultaneous multiple regression found that dilation of cortical sulci were primarily (t = 2.59, P < 0.01) related to the increases in HWM volume and secondarily related (t = -2.51, P < 0.01) to the reductions of the cortical GM thickness. The are-corrected correlation between reduction in GM thickness and increases in HWM volume, was not significant (P = 0.34). These findings are of interest in designing quantitative measures of brain aging for monitoring individual patients and in large-scale clinical trials.

AB - Sensitive measures of brain aging show great promise for gauging factors that affect aging and degenerative processes, such as risk genes or therapy. Here we examined age-related trends for three indices of cerebral health: gyral gray matter (GM) thickness, dilation of sulcal spaces with CSF, and the volume of T2-hyperintense white matter (HWM) lesions. The study involved 31 healthy adults age 57-82 years old. Measurements of average GM thickness, average sulcal span and HWM volume were performed using high-resolution 3D T1- and T2-weighted brain MR images. Age-related trends for the three cerebral health indices were consistent with previously published work though the analysis of their covariance led to a previously unreported relationship. Simultaneous multiple regression found that dilation of cortical sulci were primarily (t = 2.59, P < 0.01) related to the increases in HWM volume and secondarily related (t = -2.51, P < 0.01) to the reductions of the cortical GM thickness. The are-corrected correlation between reduction in GM thickness and increases in HWM volume, was not significant (P = 0.34). These findings are of interest in designing quantitative measures of brain aging for monitoring individual patients and in large-scale clinical trials.

KW - Aging

KW - Cerebrum

KW - Gray matter thickness

KW - Morphology

UR - http://www.scopus.com/inward/record.url?scp=37849018688&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=37849018688&partnerID=8YFLogxK

U2 - 10.1002/hbm.20369

DO - 10.1002/hbm.20369

M3 - Article

C2 - 17290369

AN - SCOPUS:37849018688

VL - 29

SP - 36

EP - 45

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 1

ER -