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首页> 外文期刊>Neuropsychologia >Towards response success prediction: An integrative approach using high-resolution fMRI and autonomic indices
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Towards response success prediction: An integrative approach using high-resolution fMRI and autonomic indices

机译:反应成功预测:一种利用高分辨率FMRI和自主指标的一体化方法

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Brainstem and midbrain nuclei are closely linked to effective cognitive performance and autonomic function. In the present study, we aimed to investigate indices of successful and unsuccessful response inhibition paying particular attention to the interplay between locus coeruleus (LC), ventral tegmental area (VTA)/substantia nigra (SN) and, most importantly, peripheral markers. We aimed to get insight in the predictive value of neural and physiological signals in response inhibition.A total of 35 healthy controls were recruited from the local community and a typical task of behavioral response inhibition (Go/No-Go paradigm) was applied. We used high-resolution fMRI, advanced brainstem analyses and specifically corrected for respiratory signal and cardiac noise.Our main results characterize specific neural activation patterns during successful and unsuccessful response inhibition especially comprising the anterior cingulate as well as the medial and lateral prefrontal cortex. A significant activation of the dopaminergic nuclei (VTA/SN) was found during error processing, but not during response inhibition. Most remarkably, specific neural activation patterns (i.e., dorsal anterior cingulate cortex) as well as accompanying autonomic indices (i.e., skin conductance response (SCR)) were identified to hold predictive information on an individual's performance.In summary, the importance of the VTA/SN during error processing was shown. Furthermore, autonomic indices and specific neural activation patterns may contain valuable information to predict task performance.
机译:脑干和中脑核与有效认知性能和自主神经功能密切相关。在目前的研究中,我们旨在调查成功和不成功的反应抑制的指标予以特别注意基因座Coeruleus(LC),腹侧腹部区域(VTA)/ Implia Nigra(Sn)的相互作用,以及最重要的是外周标记。我们的目标是在反应抑制中获得神经和生理信号预测值的洞察力。从当地界招募了35种健康对照,并申请了行为反应抑制的典型任务(GO / No-Go Paradigm)。我们使用高分辨率FMRI,高级脑干分析,具体校正呼吸信号和心脏噪声。主要结果在成功和不成功的反应抑制期间特征在于在成功和不成功的反应抑制期间特异性神经激活模式,特别是包含前铰接以及内侧和横向前额定皮层。在误差处理期间发现多巴胺能细胞核(VTA / Sn)的显着激活,但在响应抑制期间没有。最重要的是,识别出特定的神经激活模式(即,背部铰接皮层)以及伴随自主义指数(即,皮肤导电响应(SCR))以保持有关个人性能的预测信息。总结,VTA的重要性显示错误处理期间的SN。此外,自主语指数和特定的神经激活模式可以包含有价值的信息来预测任务性能。

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