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Heritable changes in regional cortical thickness with age.
Chouinard-Decorte F, McKay DR, Reid A, Khundrakpam B, Zhao L, Karama S, Rioux P, Sprooten E, Knowles E, Kent JW Jr, Curran JE, Göring HH, Dyer TD, Olvera RL, Kochunov P, Duggirala R, Fox PT, Almasy L, Blangero J, Bellec P, Evans AC, Glahn DC. Chouinard-Decorte F, et al. Brain Imaging Behav. 2014 Jun;8(2):208-16. doi: 10.1007/s11682-014-9296-x. Epub 2014 Apr 22. Brain Imaging Behav. 2014. PMID: 24752552 Free PMC article.
It is now well established that regional indices of brain structure such as cortical thickness, surface area or grey matter volume exhibit spatially variable patterns of heritability. ...This suggests that different genetic factors account for corti
It is now well established that regional indices of brain structure such as cortical thickness, surface area or grey ma …
Associations between serotonin transporter gene (SLC6A4) methylation and clinical characteristics and cortical thickness in children with ADHD.
Park S, Lee JM, Kim JW, Cho DY, Yun HJ, Han DH, Cheong JH, Kim BN. Park S, et al. Psychol Med. 2015 Oct;45(14):3009-17. doi: 10.1017/S003329171500094X. Epub 2015 May 28. Psychol Med. 2015. PMID: 26017091
Here, we investigated whether serotonin transporter gene (SLC6A4) methylation patterns were associated with clinical characteristics and regional cortical thickness in children with ADHD. METHOD: In 102 children with ADHD (age 6-15 years), the methylat …
Here, we investigated whether serotonin transporter gene (SLC6A4) methylation patterns were associated with clinical characteristics and …
Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI study.
Madeira N, Duarte JV, Martins R, Costa GN, Macedo A, Castelo-Branco M. Madeira N, et al. Neuroimage Clin. 2020;26:102220. doi: 10.1016/j.nicl.2020.102220. Epub 2020 Feb 19. Neuroimage Clin. 2020. PMID: 32146321 Free PMC article.
While established biomarkers like cortical thickness and grey matter volume are heavily influenced by post-onset changes and thus provide limited possibility of accessing early pathologies, gyrification is assumed to be more specifically determined by genetic …
While established biomarkers like cortical thickness and grey matter volume are heavily influenced by post-onset changes
Genetic and environmental influences on cortical mean diffusivity.
Elman JA, Panizzon MS, Hagler DJ Jr, Fennema-Notestine C, Eyler LT, Gillespie NA, Neale MC, Lyons MJ, Franz CE, McEvoy LK, Dale AM, Kremen WS. Elman JA, et al. Neuroimage. 2017 Feb 1;146:90-99. doi: 10.1016/j.neuroimage.2016.11.032. Epub 2016 Nov 15. Neuroimage. 2017. PMID: 27864081 Free PMC article.
Magnetic resonance imaging (MRI) has become an important tool in the early detection of age-related and neuropathological brain changes. Recent studies suggest that changes in mean diffusivity (MD) of cortical gray matter derived from diffusion MRI sca …
Magnetic resonance imaging (MRI) has become an important tool in the early detection of age-related and neuropathological brain ch
Salivary cortisol and prefrontal cortical thickness in middle-aged men: A twin study.
Kremen WS, O'Brien RC, Panizzon MS, Prom-Wormley E, Eaves LJ, Eisen SA, Eyler LT, Hauger RL, Fennema-Notestine C, Fischl B, Grant MD, Hellhammer DH, Jak AJ, Jacobson KC, Jernigan TL, Lupien SJ, Lyons MJ, Mendoza SP, Neale MC, Seidman LJ, Thermenos HW, Tsuang MT, Dale AM, Franz CE. Kremen WS, et al. Neuroimage. 2010 Nov 15;53(3):1093-102. doi: 10.1016/j.neuroimage.2010.02.026. Epub 2010 Feb 13. Neuroimage. 2010. PMID: 20156572 Free PMC article.
We examined phenotypic and genetic associations of cortisol levels with the thickness of prefrontal and anterior cingulate cortex regions, and with hippocampal volume in a sample of 388 middle-aged male twins who were 51-59 years old. ...Moreover, the degree …
We examined phenotypic and genetic associations of cortisol levels with the thickness of prefrontal and anterior cingulate cortex
Neural correlates of polygenic risk score for autism spectrum disorders in general population.
Khundrakpam B, Vainik U, Gong J, Al-Sharif N, Bhutani N, Kiar G, Zeighami Y, Kirschner M, Luo C, Dagher A, Evans A. Khundrakpam B, et al. Brain Commun. 2020 Jul 8;2(2):fcaa092. doi: 10.1093/braincomms/fcaa092. eCollection 2020. Brain Commun. 2020. PMID: 32954337 Free PMC article.
We observed that children with higher polygenic risk for autism spectrum disorder exhibited greater cortical thickness for a large age span starting from 3 years up to 14 years in several cortical regions localized in bilateral precentral gyri a …
We observed that children with higher polygenic risk for autism spectrum disorder exhibited greater cortical thickness for a l …
A Comprehensive Quantitative Genetic Analysis of Cerebral Surface Area in Youth.
Schmitt JE, Neale MC, Clasen LS, Liu S, Seidlitz J, Pritikin JN, Chu A, Wallace GL, Lee NR, Giedd JN, Raznahan A. Schmitt JE, et al. J Neurosci. 2019 Apr 17;39(16):3028-3040. doi: 10.1523/JNEUROSCI.2248-18.2019. Epub 2019 Mar 4. J Neurosci. 2019. PMID: 30833512 Free PMC article.
The genetics of cortical arealization in youth is not well understood. In this study, we use a genetically informative sample of 677 typically developing children and adolescents (mean age 12.72 years), high-resolution MRI, and quantitative genetic methodology to ad …
The genetics of cortical arealization in youth is not well understood. In this study, we use a genetically informative sample of 677 …
The dynamic role of genetics on cortical patterning during childhood and adolescence.
Schmitt JE, Neale MC, Fassassi B, Perez J, Lenroot RK, Wells EM, Giedd JN. Schmitt JE, et al. Proc Natl Acad Sci U S A. 2014 May 6;111(18):6774-9. doi: 10.1073/pnas.1311630111. Epub 2014 Apr 21. Proc Natl Acad Sci U S A. 2014. PMID: 24753564 Free PMC article.
Using genetically informative latent growth curve modeling of 81,924 measures of cortical thickness, changes in the genetic contributions to cortical development could be visualized across the age range at high resolution. ...Dynamic modeling of …
Using genetically informative latent growth curve modeling of 81,924 measures of cortical thickness, changes in the gen …
Genetic and environmental influences on the size of specific brain regions in midlife: the VETSA MRI study.
Kremen WS, Prom-Wormley E, Panizzon MS, Eyler LT, Fischl B, Neale MC, Franz CE, Lyons MJ, Pacheco J, Perry ME, Stevens A, Schmitt JE, Grant MD, Seidman LJ, Thermenos HW, Tsuang MT, Eisen SA, Dale AM, Fennema-Notestine C. Kremen WS, et al. Neuroimage. 2010 Jan 15;49(2):1213-23. doi: 10.1016/j.neuroimage.2009.09.043. Epub 2009 Sep 26. Neuroimage. 2010. PMID: 19786105 Free PMC article.
They were 51-59 years old, and were similar to U.S. men in their age range in terms of sociodemographic and health characteristics. We measured thickness of cortical ROIs and volume of other ROIs. On average, genetic influences accounted for approximat …
They were 51-59 years old, and were similar to U.S. men in their age range in terms of sociodemographic and health characteris …
Genetic and environmental influences on structural- and diffusion-based Alzheimer's disease neuroimaging signatures across midlife and early old age.
Williams ME, Gillespie NA, Bell TR, Dale AM, Elman JA, Eyler LT, Fennema-Notestine C, Franz CE, Hagler DJ Jr, Lyons MJ, McEvoy LK, Neale MC, Panizzon MS, Reynolds CA, Sanderson-Cimino M, Kremen WS. Williams ME, et al. Biol Psychiatry Cogn Neurosci Neuroimaging. 2022 Jun 20:S2451-9022(22)00151-3. doi: 10.1016/j.bpsc.2022.06.007. Online ahead of print. Biol Psychiatry Cogn Neurosci Neuroimaging. 2022. PMID: 35738479
CONCLUSIONS: Cortical MD and thickness/volume AD signatures are heritable, and each signature captures unique variance that is also not explained by brain age. Moreover, results are in line with changes in MD emerging before changes in …
CONCLUSIONS: Cortical MD and thickness/volume AD signatures are heritable, and each signature captures unique variance …