Diverging functional connectivity timescales: Capturing distinct aspects of cognitive performance in early psychosis

被引:0
|
作者
Hirsch, Fabian [1 ]
Bumanglag, Angelo [1 ]
Zhang, Yifei [1 ]
Wohlschlaeger, Afra [1 ]
机构
[1] Tech Univ Munich, Klinikum Rd Isar, Dept Diagnost & Intervent Neuroradiol, Ismaninger Str 22, D-81675 Munich, Germany
基金
美国国家卫生研究院;
关键词
fMRI; Resting-state; Time-varying connectivity; Psychosis; Cognition; Neurotransmitters; RESTING-STATE FMRI; 1ST-EPISODE SCHIZOPHRENIA; SENSORIMOTOR CORTEX; BRAIN NETWORKS; HYPOTHESIS; DOPAMINE; NOREPINEPHRINE; MEMORY; TIME; ORGANIZATION;
D O I
10.1016/j.nicl.2024.103657
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
Background: Psychosis spectrum disorders (PSDs) are marked by cognitive impairments, the neurobiological correlates of which remain poorly understood. Here, we investigate the entropy of time-varying functional connectivity (TVFC) patterns from resting-state functional magnetic resonance imaging (rs-fMRI) as potential biomarker for cognitive performance in PSDs. By combining our results with multimodal reference data, we hope to generate new insights into the mechanisms underlying cognitive dysfunction in PSDs. We hypothesized that low-entropy TVFC patterns (LEN) would be more behaviorally informative than high-entropy TVFC patterns (HEN), especially for tasks that require extensive integration across diverse cognitive subdomains. Methods: rs-fMRI and behavioral data from 97 patients in the early phases of psychosis and 53 controls were analyzed. Positron emission tomography (PET) and magnetoencephalography (MEG) data were taken from a public repository (Hansen et al., 2022). Multivariate analyses were conducted to examine relationships between TVFC patterns at multiple spatial scales and cognitive performance in patients. Results: Compared to HEN, LEN explained significantly more cognitive variance on average in PSD patients, driven by superior encoding of information on psychometrically more integrated tasks. HEN better captured information in specific subdomains of executive functioning. Nodal HEN-LEN transitions were spatially aligned with neurobiological gradients reflecting monoaminergic transporter densities and MEG beta-power. Exploratory analyses revealed a close statistical relationship between LEN and positive symptom severity in patients. Conclusion: Our entropy-based analysis of TVFC patterns dissociates distinct aspects of cognition in PSDs. By linking topographies of neurotransmission and oscillatory dynamics with cognitive performance, it enhances our understanding of the mechanisms underlying cognitive deficits in PSDs.
引用
收藏
页数:16
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