Literature DB >> 22612125

Changes in diffusion path length with old age in diffuse optical tomography.

Clément Bonnéry1, Paul-Olivier Leclerc, Michèle Desjardins, Rick Hoge, Louis Bherer, Philippe Pouliot, Frédéric Lesage.   

Abstract

Diffuse, optical near infrared imaging is increasingly being used in various neurocognitive contexts where changes in optical signals are interpreted through activation maps. Statistical population comparison of different age or clinical groups rely on the relative homogeneous distribution of measurements across subjects in order to infer changes in brain function. In the context of an increasing use of diffuse optical imaging with older adult populations, changes in tissue properties and anatomy with age adds additional confounds. Few studies investigated these changes with age. Duncan et al. measured the so-called diffusion path length factor (DPF) in a large population but did not explore beyond the age of 51 after which physiological and anatomical changes are expected to occur [Pediatr. Res. 39(5), 889-894 (1996)]. With increasing interest in studying the geriatric population with optical imaging, we studied changes in tissue properties in young and old subjects using both magnetic resonance imaging (MRI)-guided Monte-Carlo simulations and time-domain diffuse optical imaging. Our results, measured in the frontal cortex, show changes in DPF that are smaller than previously measured by Duncan et al. in a younger population. The origin of these changes are studied using simulations and experimental measures.

Mesh:

Year:  2012        PMID: 22612125     DOI: 10.1117/1.JBO.17.5.056002

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  8 in total

1.  Effect of probe geometry and optical properties on the sampling depth for diffuse reflectance spectroscopy.

Authors:  Ricky Hennessy; Will Goth; Manu Sharma; Mia K Markey; James W Tunnell
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

2.  Quantification of extra-cerebral and cerebral hemoglobin concentrations during physical exercise using time-domain near infrared spectroscopy.

Authors:  Héloïse Auger; Louis Bherer; Étienne Boucher; Richard Hoge; Frédéric Lesage; Mathieu Dehaes
Journal:  Biomed Opt Express       Date:  2016-09-01       Impact factor: 3.732

3.  Algorithm for automated selection of application-specific fiber-optic reflectance probes.

Authors:  Andrew J Gomes; Vadim Backman
Journal:  J Biomed Opt       Date:  2013-02       Impact factor: 3.170

4.  Investigation of the sensitivity of functional near-infrared spectroscopy brain imaging to anatomical variations in 5- to 11-year-old children.

Authors:  Ashley C Whiteman; Hendrik Santosa; Daniel F Chen; Susan Perlman; Theodore Huppert
Journal:  Neurophotonics       Date:  2017-09-18       Impact factor: 3.593

5.  Brain atrophy can introduce age-related differences in BOLD response.

Authors:  Xueqing Liu; Raphael T Gerraty; Jack Grinband; David Parker; Qolamreza R Razlighi
Journal:  Hum Brain Mapp       Date:  2017-04-11       Impact factor: 5.038

6.  Continuous correction of differential path length factor in near-infrared spectroscopy.

Authors:  Tanveer Talukdar; Jason H Moore; Solomon G Diamond
Journal:  J Biomed Opt       Date:  2013-05       Impact factor: 3.170

7.  Age and Vascular Burden Determinants of Cortical Hemodynamics Underlying Verbal Fluency.

Authors:  Sebastian Heinzel; Florian G Metzger; Ann-Christine Ehlis; Robert Korell; Ahmed Alboji; Florian B Haeussinger; Isabel Wurster; Kathrin Brockmann; Ulrike Suenkel; Gerhard W Eschweiler; Walter Maetzler; Daniela Berg; Andreas J Fallgatter
Journal:  PLoS One       Date:  2015-09-22       Impact factor: 3.240

8.  An Exploration of the Effect of Hemodynamic Changes Due to Normal Aging on the fNIRS Response to Semantic Processing of Words.

Authors:  Mahnoush Amiri; Philippe Pouliot; Clément Bonnéry; Paul-Olivier Leclerc; Michèle Desjardins; Frédéric Lesage; Yves Joanette
Journal:  Front Neurol       Date:  2014-12-01       Impact factor: 4.003

  8 in total

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