Behaviour-correlated profiles of cerebellar-cerebral functional connectivity observed in independent neurodevelopmental disorder cohorts

IF 5.8 1区 医学 Q1 PSYCHIATRY
Felipe Morgado, Marlee M. Vandewouw, Christopher Hammill, Elizabeth Kelley, Jennifer Crosbie, Russell Schachar, Muhammad Ayub, Robert Nicolson, Stelios Georgiades, Paul Arnold, Alana Iaboni, Azadeh Kushki, Margot J. Taylor, Evdokia Anagnostou, Jason P. Lerch
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引用次数: 0

Abstract

The cerebellum, through its connectivity with the cerebral cortex, plays an integral role in regulating cognitive and affective processes, and its dysregulation can result in neurodevelopmental disorder (NDD)-related behavioural deficits. Identifying cerebellar-cerebral functional connectivity (FC) profiles in children with NDDs can provide insight into common connectivity profiles and their correlation to NDD-related behaviours. 479 participants from the Province of Ontario Neurodevelopmental Disorders (POND) network (typically developing = 93, Autism Spectrum Disorder = 172, Attention Deficit/Hyperactivity Disorder = 161, Obsessive-Compulsive Disorder = 53, mean age = 12.2) underwent resting-state functional magnetic resonance imaging and behaviour testing (Social Communication Questionnaire, Toronto Obsessive-Compulsive Scale, and Child Behaviour Checklist – Attentional Problems Subscale). FC components maximally correlated to behaviour were identified using canonical correlation analysis. Results were then validated by repeating the investigation in 556 participants from an independent NDD cohort provided from a separate consortium (Healthy Brain Network (HBN)). Replication of canonical components was quantified by correlating the feature vectors between the two cohorts. The two cerebellar-cerebral FC components that replicated to the greatest extent were correlated to, respectively, obsessive-compulsive behaviour (behaviour feature vectors, rPOND-HBN = −0.97; FC feature vectors, rPOND-HBN = −0.68) and social communication deficit contrasted against attention deficit behaviour (behaviour feature vectors, rPOND-HBN = −0.99; FC feature vectors, rPOND-HBN = −0.78). The statistically stable (|z| > 1.96) features of the FC feature vectors, measured via bootstrap re-sampling, predominantly comprised of correlations between cerebellar attentional and control network regions and cerebral attentional, default mode, and control network regions. In both cohorts, spectral clustering on FC loading values resulted in subject clusters mixed across diagnostic categories, but no cluster was significantly enriched for any given diagnosis as measured via chi-squared test (p > 0.05). Overall, two behaviour-correlated components of cerebellar-cerebral functional connectivity were observed in two independent cohorts. This suggests the existence of generalizable cerebellar network differences that span across NDD diagnostic boundaries.

在独立的神经发育障碍队列中观察到的小脑-大脑功能连接的行为相关特征
小脑通过与大脑皮层的连接,在调节认知和情感过程中发挥着不可或缺的作用,其失调可能导致与神经发育障碍(NDD)相关的行为缺陷。在患有神经发育障碍的儿童中识别小脑-大脑功能连接(FC)特征,可以深入了解常见的连接特征及其与神经发育障碍相关行为的相关性。来自安大略省神经发育障碍(POND)网络的479名参与者(典型发育障碍=93人、自闭症谱系障碍=172人、注意力缺陷/过度活跃障碍=161人、强迫症=53人,平均年龄=12.2岁)接受了静息态功能磁共振成像和行为测试(社会交流问卷、多伦多强迫症量表和儿童行为检查表--注意力问题分量表)。通过典型相关分析,确定了与行为最大相关的 FC 成分。然后,对来自另一个联盟(健康大脑网络(HBN))的独立 NDD 队列中的 556 名参与者进行重复调查,以验证结果。通过对两个队列之间的特征向量进行关联,对典型成分的复制进行了量化。复制程度最高的两个小脑-大脑FC成分分别与强迫症行为(行为特征向量,rPOND-HBN = -0.97;FC特征向量,rPOND-HBN = -0.68)和社会交流缺陷与注意力缺陷行为(行为特征向量,rPOND-HBN = -0.99;FC特征向量,rPOND-HBN = -0.78)相关。FC特征向量的统计稳定(|z| >1.96)特征是通过引导重采样测量的,主要包括小脑注意和控制网络区域之间的相关性,以及大脑注意、默认模式和控制网络区域之间的相关性。在两个队列中,FC载荷值的频谱聚类导致了不同诊断类别的受试者聚类,但通过秩方检验(p >0.05),没有任何聚类对任何特定诊断有显著的富集作用。总体而言,在两个独立队列中观察到了小脑-大脑功能连接的两个行为相关成分。这表明小脑网络差异具有普遍性,跨越了NDD诊断的界限。
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来源期刊
CiteScore
11.50
自引率
2.90%
发文量
484
审稿时长
23 weeks
期刊介绍: Psychiatry has suffered tremendously by the limited translational pipeline. Nobel laureate Julius Axelrod''s discovery in 1961 of monoamine reuptake by pre-synaptic neurons still forms the basis of contemporary antidepressant treatment. There is a grievous gap between the explosion of knowledge in neuroscience and conceptually novel treatments for our patients. Translational Psychiatry bridges this gap by fostering and highlighting the pathway from discovery to clinical applications, healthcare and global health. We view translation broadly as the full spectrum of work that marks the pathway from discovery to global health, inclusive. The steps of translation that are within the scope of Translational Psychiatry include (i) fundamental discovery, (ii) bench to bedside, (iii) bedside to clinical applications (clinical trials), (iv) translation to policy and health care guidelines, (v) assessment of health policy and usage, and (vi) global health. All areas of medical research, including — but not restricted to — molecular biology, genetics, pharmacology, imaging and epidemiology are welcome as they contribute to enhance the field of translational psychiatry.
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