The Use of Physiological Signals in Brainstem/Midbrain fMRI.

The Use of Physiological Signals in Brainstem/Midbrain fMRI.
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DOI:
10.3389/fnins.2018.00718
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发表时间:
2018
影响因子:
4.3
通讯作者:
Bär KJ
Bär KJ
中科院分区:
医学2区
文献类型:
--
作者:
Schumann A;Köhler S;de la Cruz F;Güllmar D;Reichenbach JR;Wagner G;Bär KJ

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脑干和中脑核团与认知能力和自主神经功能密切相关。为了推进这一领域的定位,精确的功能成像是基础。在这项研究中,我们使用复杂的功能磁共振成像技术以及生理记录来研究脑干/中脑核在Stroop任务中参与认知控制的情况。时间信噪比(TSNR)由于生理性噪声校正(PNC)而增加,尤其是在邻近动脉和脑脊液的区域。在脑干/小脑模板内,同时应用高分辨率功能磁共振成像、专业联合配准和PNC后,平均tSNR达到68±16。对PNC数据的分析显示,在Stroop干扰对比中,黑质被激活,而在分析未经校正的数据时,在中脑或脑干没有得到明显的结果。此外,我们发现,瞳孔大小表明了认知努力的水平。Stroop干扰对瞳孔反应的影响与对反应时的影响相关(R2=0.464,p<0.05)。当Stroop刺激被瞳孔反应调制时,我们在Stroop干涉对比中观察到LC的显著激活。因此,在分析神经元对认知任务的反应时,我们展示了PNC对数据质量和统计结果的有利影响。利用瞳孔反应对任务事件进行参数调制,改进了Stroop干扰对比度下LC BOLD激活的模型。
Brainstem and midbrain nuclei are closely linked to cognitive performance and autonomic function. To advance the localization in this area, precise functional imaging is fundamental. In this study, we used a sophisticated fMRI technique as well as physiological recordings to investigate the involvement of brainstem/midbrain nuclei in cognitive control during a Stroop task. The temporal signal-to-noise ratio (tSNR) increased due to physiological noise correction (PNC) especially in regions adjacent to arteries and cerebrospinal fluid. Within the brainstem/cerebellum template an average tSNR of 68 ± 16 was achieved after the simultaneous application of a high-resolution fMRI, specialized co-registration, and PNC. The analysis of PNC data revealed an activation of the substantia nigra in the Stroop interference contrast whereas no significant results were obtained in the midbrain or brainstem when analyzing uncorrected data. Additionally, we found that pupil size indicated the level of cognitive effort. The Stroop interference effect on pupillary responses was correlated to the effect on reaction times (R2 = 0.464, p < 0.05). When Stroop stimuli were modulated by pupillary responses, we observed a significant activation of the LC in the Stroop interference contrast. Thus, we demonstrated the beneficial effect of PNC on data quality and statistical results when analyzing neuronal responses to a cognitive task. Parametric modulation of task events with pupillary responses improved the model of LC BOLD activations in the Stroop interference contrast.
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