Neural fingerprints of data driven cognitive subtypes across the psychosis spectrum: a B-SNIP study.

IF 5.8 1区 医学 Q1 PSYCHIATRY
Shashwath A Meda, Madison M Dykins, Scot K Hill, Brett A Clementz, Sarah K Keedy, Jennifer E McDowell, Elena I Ivleva, Elliot S Gershon, Matcheri S Keshavan, Carol Tamminga, Godfrey D Pearlson
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Abstract

Cognitive dysfunction is a prominent feature of psychotic spectrum disorders. Identifying neurocognitive subgroups and their neural underpinnings may help elucidate distinct pathophysiological mechanisms and inform targeted interventions. This study aimed to derive cognitive subtypes using latent profile analysis (LPA) of the Brief Assessment of Cognition in Schizophrenia (BACS) and investigate associated variations in resting-state functional connectivity among these cognitive profiles and biologically derived Biotypes. The BACS was administered to 1807 psychosis patients from the B-SNIP1 and 2 cohorts to perform LPA and identify cognitive subgroups. Regional homogeneity (ReHo), a measure of local functional connectivity, was computed from resting-state fMRI data in a subset (717 patients, 427 controls). Multivariate regression models examined associations between ReHo and cognitive LPA, Biotypes, and DSM diagnostic categories. LPA identified four cognitive profiles: cognitively comparable to controls (CCC), intermediate-1, intermediate-2, and severely impaired. These profiles showed unique dysconnectivity patterns, particularly within the striatal, default mode, salience, and executive control networks. The severely impaired group exhibited hyperconnectivity in basal ganglia and executive control networks. The intermediate groups showed default mode and salience network connectivity disruptions. The CCC group was the least impaired, with hyperconnectivity in sensory and auditory networks. Compared to Biotypes, LPA subgroups presented more domain-specific connectivity fingerprints. Psychosis patients exhibit heterogeneous cognitive profiles with divergent intrinsic functional dysconnectivity patterns. Cognitive LPA subgroups demonstrated more domain-localized neural signatures than DSM subtypes, potentially allowing for more targeted interventions. This approach highlights the utility of cognitive subtyping using standardized cognitive assessments in elucidating pathophysiological mechanisms in psychosis.

数据驱动认知亚型的神经指纹跨越精神病谱:一项B-SNIP研究。
认知功能障碍是精神病谱系障碍的一个显著特征。识别神经认知亚群及其神经基础可能有助于阐明不同的病理生理机制,并为有针对性的干预提供信息。本研究旨在利用精神分裂症认知简要评估(BACS)的潜在谱分析(LPA)得出认知亚型,并研究这些认知亚型和生物学衍生的生物型之间静息状态功能连通性的相关变化。对来自B-SNIP1和2队列的1807名精神病患者进行BACS,以进行LPA和识别认知亚组。区域同质性(ReHo)是衡量局部功能连通性的一种方法,该方法是根据一个子集(717名患者,427名对照)的静息状态fMRI数据计算得出的。多元回归模型检验了ReHo与认知LPA、生物型和DSM诊断类别之间的关系。LPA确定了四种认知概况:认知与对照组相当(CCC),中级1级,中级2级和严重受损。这些资料显示了独特的连接障碍模式,特别是在纹状体、默认模式、显著性和执行控制网络中。严重受损组表现出基底神经节和执行控制网络的超连通性。中间组表现出默认模式和显著的网络连接中断。CCC组损伤最小,感觉和听觉网络超连通性。与生物型相比,LPA亚群具有更多的域特异性连接指纹。精神病患者表现出异质性的认知特征,具有不同的内在功能连接障碍模式。认知LPA亚组比DSM亚型表现出更多的域定位神经特征,可能允许更有针对性的干预。这种方法强调了使用标准化认知评估的认知亚型在阐明精神病病理生理机制中的效用。
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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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