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伽马振荡可预测精神分裂症患者对基于听觉的认知训练的认知改善和临床反应。

Gamma oscillations predict pro-cognitive and clinical response to auditory-based cognitive training in schizophrenia.

机构信息

Department of Psychiatry, University of California, San Diego, San Diego, CA, USA.

Department of Psychology, Colorado State University, Fort Collins, CO, USA.

出版信息

Transl Psychiatry. 2020 Nov 23;10(1):405. doi: 10.1038/s41398-020-01089-6.

Abstract

Cognitive impairments are pervasive and disabling features of schizophrenia. Targeted cognitive training (TCT) is a "bottom-up" cognitive remediation intervention with efficacy for neurocognitive outcomes in schizophrenia, yet individual responses are variable. Gamma oscillatory measures are leading candidate biomarkers in the development of biologically informed pro-cognitive therapeutics. Forty-two schizophrenia patients were recruited from a long-term residential treatment facility. Participants were randomized to receive either 1 h of cognitive training (TCT, n = 21) or computer games (TAU, n = 21). All participants received standard-of-care treatment; the TCT group additionally completed 30 h of cognitive training. The auditory steady-state response paradigm was used to elicit gamma oscillatory power and synchrony during electroencephalogram recordings. Detailed clinical and cognitive assessments were collected at baseline and after completion of the study. Baseline gamma power predicted cognitive gains after a full course of TCT (MCCB, R = 0.31). A change in gamma power after 1-h TCT exposure predicted improvement in both positive (SAPS, R = 0.40) and negative (SANS, R = 0.30) symptoms. These relationships were not observed in the TAU group (MCCB, SAPS, and SANS, all R < 0.06). The results indicate that the capacity to support gamma oscillations, as well as the plasticity of the underlying ASSR circuitry after acute exposure to 1 h of TCT, reflect neural mechanisms underlying the efficacy of TCT, and may be used to predict individualized treatment outcomes. These findings suggest that gamma oscillatory biomarkers applied within the context of experimental medicine designs can be used to personalize individual treatment options for pro-cognitive interventions in patients with schizophrenia.

摘要

认知障碍是精神分裂症普遍存在且致残的特征。靶向认知训练(TCT)是一种“自下而上”的认知矫正干预措施,对精神分裂症的神经认知结果有效,但个体反应各不相同。伽马振荡测量是生物启发的促认知治疗发展的主要候选生物标志物。42 名精神分裂症患者从长期住宿治疗机构招募。参与者被随机分配接受 1 小时认知训练(TCT,n=21)或电脑游戏(TAU,n=21)。所有参与者均接受标准护理治疗;TCT 组还完成了 30 小时的认知训练。使用听觉稳态反应范式在脑电图记录期间引出伽马振荡功率和同步性。在基线和研究完成后收集详细的临床和认知评估。基线伽马功率预测 TCT 全疗程后的认知增益(MCCB,R=0.31)。1 小时 TCT 暴露后的伽马功率变化预测阳性(SAPS,R=0.40)和阴性(SANS,R=0.30)症状的改善。在 TAU 组中未观察到这些关系(MCCB、SAPS 和 SANS,所有 R<0.06)。结果表明,支持伽马振荡的能力以及在 1 小时 TCT 急性暴露后 ASSR 电路的可塑性反映了 TCT 疗效的神经机制,并可用于预测个体化治疗结果。这些发现表明,伽马振荡生物标志物在实验医学设计的背景下应用,可以用于为精神分裂症患者的促认知干预措施个性化治疗选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1da6/7684295/c5547d8c385b/41398_2020_1089_Fig1_HTML.jpg

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