Transdiagnostic dimensions of psychopathology explain individuals' unique deviations from normative neurodevelopment in brain structure.

Transdiagnostic dimensions of psychopathology explain individuals' unique deviations from normative neurodevelopment in brain structure.
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DOI:
10.1038/s41398-021-01342-6
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发表时间:
2021-04-20
影响因子:
6.8
通讯作者:
Bassett DS
Bassett DS
中科院分区:
医学1区
文献类型:
--
作者:
Parkes L;Moore TM;Calkins ME;Cook PA;Cieslak M;Roalf DR;Wolf DH;Gur RC;Gur RE;Satterthwaite TD;Bassett DS

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精神病理学植根于神经发育。然而,临床和生物学的异质性,再加上对病例对照方法的关注,使得很难将精神病理学的维度与神经发育的异常联系起来。在这里,使用费城神经发育队列,我们建立了皮质体积的规范模型,并测试了与原始皮质体积相比,偏离这些模型是否能更好地预测精神症状。具体来说,借鉴的P-因子假设,我们蒸馏117临床症状的措施,六个正交的精神病理学维度:整体精神病理学,焦虑痛苦,外化障碍,恐惧,积极的精神病症状,和消极的精神病症状。我们发现,与原始皮质体积的多变量模式相比,偏差的多变量模式产生了改善的精神病理学维度的样本外预测。我们还发现,整体精神病理学与腹内侧前额叶、下颞叶和背侧前扣带皮层偏差之间的相关性比观察到的精神病理学特定维度(例如,焦虑-痛苦)。值得注意的是,这些相同的区域始终涉及一系列不同的疾病。最后,我们对一组抑郁症患者和一组注意缺陷多动障碍(ADHD)患者的偏差进行了常规病例对照比较。我们观察到这些组之间的空间重叠效应,当控制整体精神病理学时,这些效应会减弱。总之,我们的研究结果表明,将皮质脑功能建模为偏离正常神经发育,可以提高样本外测试中精神症状的预测,并且精神病理学的p因子模型可能有助于将一般疾病的生物标志物与特定疾病的生物标志物分开。
Psychopathology is rooted in neurodevelopment. However, clinical and biological heterogeneity, together with a focus on case-control approaches, have made it difficult to link dimensions of psychopathology to abnormalities of neurodevelopment. Here, using the Philadelphia Neurodevelopmental Cohort, we built normative models of cortical volume and tested whether deviations from these models better predicted psychiatric symptoms compared to raw cortical volume. Specifically, drawing on the p-factor hypothesis, we distilled 117 clinical symptom measures into six orthogonal psychopathology dimensions: overall psychopathology, anxious-misery, externalizing disorders, fear, positive psychosis symptoms, and negative psychosis symptoms. We found that multivariate patterns of deviations yielded improved out-of-sample prediction of psychopathology dimensions compared to multivariate patterns of raw cortical volume. We also found that correlations between overall psychopathology and deviations in ventromedial prefrontal, inferior temporal, and dorsal anterior cingulate cortices were stronger than those observed for specific dimensions of psychopathology (e.g., anxious-misery). Notably, these same regions are consistently implicated in a range of putatively distinct disorders. Finally, we performed conventional case-control comparisons of deviations in a group of individuals with depression and a group with attention-deficit hyperactivity disorder (ADHD). We observed spatially overlapping effects between these groups that diminished when controlling for overall psychopathology. Together, our results suggest that modeling cortical brain features as deviations from normative neurodevelopment improves prediction of psychiatric symptoms in out-of-sample testing, and that p-factor models of psychopathology may assist in separating biomarkers that are disorder-general from those that are disorder-specific.
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