Joshi Yash B, Gonzalez Christopher E, Molina Juan L, MacDonald Laura R, Min Din Jenny, Minhas Jessica, Leposke Taylor, Nordberg Bethany, Li Francesca, Talledo Jo, Sprock Joyce, Swerdlow Neal R, Light Gregory A
VA San Diego Healthcare System, La Jolla, CA, USA; University of California, San Diego, Department of Psychiatry, La Jolla, CA, USA; Desert Pacific Mental Illness Research Education and Clinical Center, La Jolla, CA, USA.
VA San Diego Healthcare System, La Jolla, CA, USA; University of California, San Diego, Department of Psychiatry, La Jolla, CA, USA; Desert Pacific Mental Illness Research Education and Clinical Center, La Jolla, CA, USA.
Psychiatry Res. 2023 Sep;327:115215. doi: 10.1016/j.psychres.2023.115215. Epub 2023 Apr 20.
Auditory-based targeted cognitive training (ATCT) programs are emerging pro-cognitive therapeutic interventions which aim to improve auditory processing to attenuate cognitive impairment in a "bottom up" manner. Biomarkers of early auditory information processing (EAIP) like mismatch negativity (MMN) and P3a have been used successfully to predict gains from a full 40 h course of ATCT in schizophrenia (SZ). Here we investigated the ability of EAIP biomarkers to predict ATCT performance in a group of subjects (n = 26) across SZ, MDD, PTSD and GAD diagnoses. Cognition was assessed via the MATRICS Consensus Cognitive Battery (MCCB) and MMN/P3a were collected prior to completing 1 h of "Sound Sweeps," a representative ATCT exercise. Baseline and final performance over the first two levels of cognitive training served as the primary dependent variables. Groups had similar MMN, but the SZ group had attenuated P3a. MMN and MCCB cognitive domain t-scores, but not P3a, were strongly correlated with most ATCT performance measures, and explained up to 61% of variance in ATCT performance. Diagnosis was not a significant predictor for ATCT performance. These data suggest that MMN can predict ATCT performance in heterogeneous neuropsychiatric populations and should be considered in ATCT studies across diagnostically diverse cohorts.
基于听觉的靶向认知训练（ATCT）项目是新兴的促认知治疗干预措施，旨在改善听觉处理能力，以“自下而上”的方式减轻认知障碍。早期听觉信息处理（EAIP）的生物标志物，如失配负波（MMN）和P3a，已成功用于预测精神分裂症（SZ）患者接受40小时完整ATCT课程后的获益情况。在此，我们研究了EAIP生物标志物预测一组跨越SZ、重度抑郁症（MDD）、创伤后应激障碍（PTSD）和广泛性焦虑障碍（GAD）诊断的受试者（n = 26）ATCT表现的能力。通过MATRICS共识认知成套测验（MCCB）评估认知能力，并在完成1小时的“声音扫描”（一种具有代表性的ATCT练习）之前收集MMN/P3a。认知训练前两个阶段的基线和最终表现作为主要因变量。各小组的MMN相似，但SZ组的P3a减弱。MMN和MCCB认知领域t分数（而非P3a）与大多数ATCT表现指标密切相关，并解释了高达61%的ATCT表现差异。诊断并非ATCT表现的显著预测因素。这些数据表明，MMN可以预测异质性神经精神疾病人群的ATCT表现，在针对不同诊断队列的ATCT研究中应予以考虑。
