Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain
Instituto de Investigación Sanitaria Gregorio Marañón, 28007 Madrid, Spain.
J Neurosci. 2022 May 4;42(18):3704-3715. doi: 10.1523/JNEUROSCI.0606-21.2022. Epub 2022 Mar 22.
Scaling between subcomponents of folding and total brain volume (TBV) in healthy individuals (HIs) is allometric. It is unclear whether this is true in schizophrenia (SZ) or first-episode psychosis (FEP). This study confirmed normative allometric scaling norms in HIs using discovery and replication samples. Cross-sectional and longitudinal diagnostic differences in folding subcomponents were then assessed using an allometric framework. Structural imaging from a longitudinal (Sample 1: HI and SZ, n = 298, n = 169, n = 293, n = 168, totaling 1087 images, all individuals ≥ 2 images, age 16-69 years) and a cross-sectional sample (Sample 2: n = 61 and n = 89, age 10-30 years), all human males and females, is leveraged to calculate global folding and its nested subcomponents: sulcation index (SI, total sulcal/cortical hull area) and determinants of sulcal area: sulcal length and sulcal depth. Scaling of SI, sulcal area, and sulcal length with TBV in SZ and FEP was allometric and did not differ from HIs. Longitudinal age trajectories demonstrated steeper loss of SI and sulcal area through adulthood in SZ. Longitudinal allometric analysis revealed that both annual change in SI and sulcal area was significantly stronger related to change in TBV in SZ compared with HIs. Our results detail the first evidence of the disproportionate contribution of changes in SI and sulcal area to TBV changes in SZ. Longitudinal allometric analysis of sulcal morphology provides deeper insight into lifespan trajectories of cortical folding in SZ. Psychotic disorders are associated with deficits in cortical folding and brain size, but we lack knowledge of how these two morphometric features are related. We leverage cross-sectional and longitudinal samples in which we decompose folding into a set of nested subcomponents: sulcal and hull area, and sulcal depth and length. We reveal that, in both schizophrenia and first-episode psychosis, (1) scaling of subcomponents with brain size is different from expected scaling laws and (2) caution is warranted when interpreting results from traditional methods for brain size correction. Longitudinal allometric scaling points to loss of sulcal area as a principal contributor to loss of brain size in schizophrenia. These findings advance the understanding of cortical folding atypicalities in psychotic disorders.
在健康个体(HIs)中,折叠和总脑体积(TBV)的亚成分之间的缩放是异速的。在精神分裂症(SZ)或首发精神病(FEP)中是否如此尚不清楚。本研究使用发现和复制样本证实了 HIs 的正常异速缩放规范。然后使用异速框架评估折叠亚成分的横断面和纵向诊断差异。来自纵向(样本 1:HI 和 SZ,n = 298,n = 169,n = 293,n = 168,总计 1087 个图像,所有个体≥2 个图像,年龄 16-69 岁)和横断面样本(样本 2:n = 61 和 n = 89,年龄 10-30 岁)的结构成像被利用来计算全局折叠及其嵌套亚成分:脑回指数(SI,总脑回/皮质外壳面积)和脑回面积的决定因素:脑回长度和脑回深度。在 SZ 和 FEP 中,SI、脑回面积和脑回长度与 TBV 的缩放均为异速,与 HIs 无差异。纵向年龄轨迹显示 SZ 个体在成年期 SI 和脑回面积的损失更为陡峭。纵向异速分析显示,与 HIs 相比,SI 和脑回面积的年度变化与 TBV 的变化有更强的相关性。我们的研究结果详细说明了首次发现 SZ 中 SI 和脑回面积的变化对 TBV 变化的不成比例贡献。对脑回形态的纵向异速分析为 SZ 皮质折叠的寿命轨迹提供了更深入的了解。精神障碍与皮质折叠和大脑大小的缺陷有关,但我们缺乏关于这两个形态特征之间关系的知识。我们利用横断面和纵向样本,将折叠分解为一组嵌套的亚成分:脑回和外壳面积,以及脑回深度和长度。我们发现,在精神分裂症和首发精神病中,(1)亚成分与大脑大小的缩放与预期的缩放定律不同,(2)在解释大脑大小校正的传统方法的结果时需要谨慎。纵向异速缩放表明脑回面积的损失是精神分裂症大脑体积损失的主要原因。这些发现推进了对精神障碍中皮质折叠异常的理解。