Division of Oncology/Neuro-Oncology, Children's Hospital of Philadelphia, 3535 Market Street, Philadelphia, PA 19104, USA.
Brain Imaging Behav. 2011 Dec;5(4):262-73. doi: 10.1007/s11682-011-9130-7.
To understand how normal variations in white matter relate to cognition, magnetization transfer imaging ratios (MTR) of a hypothesized neural network were associated with a test of visual selective attention (VST). Healthy adults (N = 16) without abnormal signal on brain scans viewed a version of DeSchepper and Treisman's test of VST (1996) with two levels of processing (novel shape matching with and without distractors, contingency feedback). A hypothesized neural network and component regions was significantly associated with accuracy and response times when distractors were present, with betas predicting 55% of variance in accuracy, and 59% of response times. MTR for anterior and posterior cingulate, prefrontal region, and thalami comprised a model predicting 55% of accuracy when distractors were present, and the anterior cingulate accounted for the majority of this effect. Prefrontal MTR predicted longer response times which was associated with increased accuracy. Distal neural areas involved in complex, processing-driven tasks (error processing, response selection, and variable response competition and processing load) may be dependent on white matter fibers to connect distal brain regions/nuclei of a macronetwork, including prefrontal executive functions.
为了了解正常的白质变化与认知之间的关系，我们将假设的神经网络的磁化转移成像比（MTR）与视觉选择性注意测试（VST）相关联。健康成年人（N=16）在脑部扫描中没有异常信号，他们观看了 DeSchepper 和 Treisman 视觉选择性注意测试（1996 年）的一个版本，该测试有两个处理水平（新颖形状匹配，有和没有分心物，条件反馈）。当存在分心物时，假设的神经网络和组成区域与准确性和反应时间显著相关，beta 预测了准确性的 55%，反应时间的 59%。在存在分心物时，前扣带回、前额叶区域和丘脑的 MTR 构成了一个预测准确率为 55%的模型，而前扣带回解释了大部分效果。前额叶 MTR 预测反应时间延长，这与准确性提高有关。参与复杂的、以处理为驱动的任务的远侧神经区域（错误处理、反应选择以及可变的反应竞争和处理负荷）可能依赖于白质纤维将远侧脑区/核连接到宏网络，包括前额叶执行功能。
