Functional and structural correlates of the aging brain: Relating visual cortex (V1) gamma band responses to age‐related structural change

Human Brain Mapping - Tập 33 Số 9 - Trang 2035-2046 - 2012
William Gaetz1, Timothy P. L. Roberts1, Krish D. Singh2, Suresh Muthukumaraswamy2
1Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
2CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom

Tóm tắt

AbstractThe gamma band response is thought to be a key neural signature of information processing in the mammalian brain, yet little is known about how age‐related maturation influences the γ‐band response. Recent MRI‐based studies have shown that brain maturation is accompanied by clear structural changes in both gray and white matter, yet the correspondence of these changes to brain function is unclear. The objective of this study was to relate visual cortex (V1) γ‐band responses to age‐related structural change. We evaluated MEG measured γ‐band responses to contrast gratings stimuli and structural MRIs from participants observed from two separate research centers (MEG lab at CUBRIC, Cardiff University, UK, and the Lurie Family Foundations MEG Imaging Center, (CHOP) at the Children's Hospital of Philadelphia). Pooled participant data (N = 59) ranged in age from 8.7 to 45.3 years. We assessed linear associations between age and MEG γ‐band frequency and amplitude, as well as between age and MRI volumetric parameters of the occipital lobe. Our MEG findings revealed a significant negative correlation for gamma band frequency versus age. Volumetric brain analysis from the occipital lobe also revealed significant negative correlations between age and the cortical thickness of pericalcarine and cuneus areas. Our functional MEG and structural MRI findings shows regionally specific changes due to maturation and may thus be informative for understanding physiological processes of neural development, maturation, and age‐related decline. In addition, this study represents (to our knowledge), the first published demonstration of multicenter data sharing across MEG centers. Hum Brain Mapp 33:2035–2046, 2012. © 2011 Wiley Periodicals, Inc.

Từ khóa


Tài liệu tham khảo

10.1111/j.1460-9568.2004.03495.x

10.1016/S0165-3806(02)00534-5

10.1002/hbm.10072

10.1001/archpsyc.58.5.461

10.1001/archneur.60.3.393

10.1523/JNEUROSCI.5228-04.2006

10.1001/archpsyc.1994.03950060041004

10.1002/ana.410340511

10.1523/JNEUROSCI.18-16-06395.1998

10.1016/j.neuroimage.2008.04.178

10.1148/radiology.216.3.r00au37672

10.1162/jocn.1993.5.2.162

10.1006/nimg.1998.0395

10.1002/ana.410040410

10.1016/j.neuroimage.2006.01.021

10.1523/JNEUROSCI.4426-09.2009

10.1016/S0165-0173(03)00178-4

10.1073/pnas.200033797

10.1006/nimg.1998.0396

10.1109/42.906426

10.1016/S0896-6273(02)00569-X

10.1016/j.neuroimage.2004.07.016

10.1038/npp.2008.104

10.1146/annurev.neuro.051508.135603

10.1016/j.neuron.2008.04.020

10.1126/science.1055465

10.1016/S0304-3940(03)00108-3

10.1016/j.neuroimage.2010.01.077

10.1016/j.neuroimage.2010.12.077

Ge Y, 2002, Age‐related total gray matter and white matter changes in normal adult brain. I. Volumetric MR imaging analysis, Am J Neuroradiol, 23, 1327

10.1038/13158

10.1046/j.1471-4159.2001.00026.x

10.1073/pnas.86.5.1698

10.1126/science.1171402

10.1016/S0304-3940(01)02361-8

10.1016/j.neulet.2004.05.104

10.1016/j.neuroimage.2006.02.051

10.1152/jn.00919.2004

10.1016/j.neuroimage.2005.08.043

10.1111/j.1528-1167.2009.02491.x

10.1016/j.eplepsyres.2006.05.019

10.1523/JNEUROSCI.19-16-07152.1999

10.1001/archpsyc.60.9.878

10.1126/science.1082874

10.1038/nrn1648

10.1038/35084005

10.1523/JNEUROSCI.22-13-05630.2002

10.1038/17126

10.1016/S0167-8760(00)00171-9

10.1016/j.neuroimage.2008.01.052

10.1073/pnas.0900728106

10.1016/j.neuroimage.2009.11.045

10.1016/j.neuroimage.2010.03.020

10.1111/j.1471-4159.1991.tb08270.x

10.1017/S0952523801184038

10.1212/WNL.58.5.695

10.1016/j.neuroimage.2009.06.074

10.1152/jn.00548.2004

10.1109/TMI.2006.887364

10.1016/j.neuroimage.2004.03.032

10.1113/jphysiol.1975.sp011055

10.1016/S0896-6273(00)80821-1

10.1109/42.668698

10.1523/JNEUROSCI.21-22-08819.2001

10.1111/j.1469-8749.2002.tb00253.x

10.1038/nn1008

10.1523/JNEUROSCI.23-19-07407.2003

10.1093/cercor/bhm094

10.1152/jn.91044.2008

10.1038/nature01800

10.1523/JNEUROSCI.16-13-04240.1996

10.1523/JNEUROSCI.17-02-00722.1997

10.1523/JNEUROSCI.18-11-04244.1998

10.1093/schbul/sbl047

10.3389/neuro.07.017.2009

10.1016/j.tics.2009.12.002

10.1523/JNEUROSCI.1623-09.2010