Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years.
Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years.
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DOI：
10.1002/hbm.25364
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发表时间：
2022-01
影响因子：
4.8
通讯作者：
Dima D
中科院分区：
文献类型：
--
作者：
Frangou S;Modabbernia A;Williams SCR;Papachristou E;Doucet GE;Agartz I;Aghajani M;Akudjedu TN;Albajes-Eizagirre A;Alnaes D;Alpert KI;Andersson M;Andreasen NC;Andreassen OA;Asherson P;Banaschewski T;Bargallo N;Baumeister S;Baur-Streubel R;Bertolino A;Bonvino A;Boomsma DI;Borgwardt S;Bourque J;Brandeis D;Breier A;Brodaty H;Brouwer RM;Buitelaar JK;Busatto GF;Buckner RL;Calhoun V;Canales-Rodríguez EJ;Cannon DM;Caseras X;Castellanos FX;Cervenka S;Chaim-Avancini TM;Ching CRK;Chubar V;Clark VP;Conrod P;Conzelmann A;Crespo-Facorro B;Crivello F;Crone EA;Dale AM;Dannlowski U;Davey C;de Geus EJC;de Haan L;de Zubicaray GI;den Braber A;Dickie EW;Di Giorgio A;Doan NT;Dørum ES;Ehrlich S;Erk S;Espeseth T;Fatouros-Bergman H;Fisher SE;Fouche JP;Franke B;Frodl T;Fuentes-Claramonte P;Glahn DC;Gotlib IH;Grabe HJ;Grimm O;Groenewold NA;Grotegerd D;Gruber O;Gruner P;Gur RE;Gur RC;Hahn T;Harrison BJ;Hartman CA;Hatton SN;Heinz A;Heslenfeld DJ;Hibar DP;Hickie IB;Ho BC;Hoekstra PJ;Hohmann S;Holmes AJ;Hoogman M;Hosten N;Howells FM;Hulshoff Pol HE;Huyser C;Jahanshad N;James A;Jernigan TL;Jiang J;Jönsson EG;Joska JA;Kahn R;Kalnin A;Kanai R;Klein M;Klyushnik TP;Koenders L;Koops S;Krämer B;Kuntsi J;Lagopoulos J;Lázaro L;Lebedeva I;Lee WH;Lesch KP;Lochner C;Machielsen MWJ;Maingault S;Martin NG;Martínez-Zalacaín I;Mataix-Cols D;Mazoyer B;McDonald C;McDonald BC;McIntosh AM;McMahon KL;McPhilemy G;Meinert S;Menchón JM;Medland SE;Meyer-Lindenberg A;Naaijen J;Najt P;Nakao T;Nordvik JE;Nyberg L;Oosterlaan J;de la Foz VO;Paloyelis Y;Pauli P;Pergola G;Pomarol-Clotet E;Portella MJ;Potkin SG;Radua J;Reif A;Rinker DA;Roffman JL;Rosa PGP;Sacchet MD;Sachdev PS;Salvador R;Sánchez-Juan P;Sarró S;Satterthwaite TD;Saykin AJ;Serpa MH;Schmaal L;Schnell K;Schumann G;Sim K;Smoller JW;Sommer I;Soriano-Mas C;Stein DJ;Strike LT;Swagerman SC;Tamnes CK;Temmingh HS;Thomopoulos SI;Tomyshev AS;Tordesillas-Gutiérrez D;Trollor JN;Turner JA;Uhlmann A;van den Heuvel OA;van den Meer D;van der Wee NJA;van Haren NEM;van 't Ent D;van Erp TGM;Veer IM;Veltman DJ;Voineskos A;Völzke H;Walter H;Walton E;Wang L;Wang Y;Wassink TH;Weber B;Wen W;West JD;Westlye LT;Whalley H;Wierenga LM;Wittfeld K;Wolf DH;Worker A;Wright MJ;Yang K;Yoncheva Y;Zanetti MV;Ziegler GC;Karolinska Schizophrenia Project (KaSP);Thompson PM;Dima D
考虑到皮质厚度与认知和行为的关联，描绘健康个体中年龄和皮质厚度的关联是至关重要的。以前的研究表明，年龄和脑形态测量之间的关联的可靠估计需要大规模的研究。作为回应，我们使用了来自增强神经影像遗传学通过Meta-分析（ENIGMA）联盟的17，075名年龄在3-90岁之间的个体的横截面数据来推断皮质厚度的年龄相关变化。我们使用分数多项式（FP）回归来量化年龄和皮质厚度之间的关联，并使用参数Lambda，Mu和Sigma方法计算归一化生长百分位数。使用Meta分析和单因素方差分析估计个体间变异性。对于大多数地区，他们的最高皮质厚度值在儿童期观察。年龄和皮质厚度呈负相关;斜率在生命的第三个十年之前更陡，此后更平缓;这种一般模式的显着例外是内嗅、颞极和前扣带皮质。个体间的变异性是最大的在整个寿命的颞叶和额叶区域。年龄及其FP组合解释了高达59%的变异皮质厚度。这些结果可能构成进一步研究皮质厚度规范偏差及其对行为和认知结果的意义的基础。我们使用来自增强神经影像遗传学通过Meta-分析（ENIGMA）联盟的17，075名3-90岁个体的横断面数据来推断年龄相关的皮质厚度变化。
Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large‐scale studies. In response, we used cross‐sectional data from 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Consortium to infer age‐related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta‐analysis and one‐way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes. We used cross‐sectional data from 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Consortium to infer age‐related changes in cortical thickness.
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DOI：
10.1111/jon.12297
发表时间：
2016-05
期刊：
Journal of neuroimaging : official journal of the American Society of Neuroimaging
影响因子：
--
作者：
Hasan KM;Mwangi B;Cao B;Keser Z;Tustison NJ;Kochunov P;Frye RE;Savatic M;Soares J
通讯作者：
Soares J
DOI：
10.1093/cercor/bhp289
发表时间：
2010-09
期刊：
Cerebral cortex (New York, N.Y. : 1991)
影响因子：
--
作者：
Blaizot X;Mansilla F;Insausti AM;Constans JM;Salinas-Alamán A;Pró-Sistiaga P;Mohedano-Moriano A;Insausti R
通讯作者：
Insausti R
影响因子：
5.7
作者：
Ducharme S;Albaugh MD;Nguyen TV;Hudziak JJ;Mateos-Pérez JM;Labbe A;Evans AC;Karama S;Brain Development Cooperative Group
通讯作者：
Brain Development Cooperative Group
影响因子：
17.7
作者：
Hoogman, Martine;Muetzel, Ryan;Franke, Barbara
通讯作者：
Franke, Barbara
DOI：
10.3233/jad-2010-091069
发表时间：
2010
期刊：
Journal of Alzheimer's disease : JAD
影响因子：
--
作者：
Alegret M;Vinyes-Junqué G;Boada M;Martínez-Lage P;Cuberas G;Espinosa A;Roca I;Hernández I;Valero S;Rosende-Roca M;Mauleón A;Becker And JT;Tárraga L
通讯作者：
Tárraga L