Dacosta-Aguayo R, Graña M, Savio A, Fernández-Andújar M, Millán M, López-Cancio E, Cáceres C, Bargalló N, Garrido C, Barrios M, Clemente I C, Hernández M, Munuera J, Dávalos A, Auer T, Mataró M
Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain; Department of CCIA, Group of Computational Intelligence, University of the Basque Country UPV/EHU, San Sebastian, Spain.
Hum Brain Mapp. 2014 Aug;35(8):3819-31. doi: 10.1002/hbm.22439. Epub 2014 Feb 12.
Resting-state studies conducted with stroke patients are scarce. First objective was to explore whether patients with good cognitive recovery showed differences in resting-state functional patterns of brain activity when compared to patients with poor cognitive recovery. Second objective was to determine whether such patterns were correlated with cognitive performance. Third objective was to assess the existence of prognostic factors for cognitive recovery. Eighteen right-handed stroke patients and eighteen healthy controls were included in the study. Stroke patients were divided into two groups according to their cognitive improvement observed at three months after stroke. Probabilistic independent component analysis was used to identify resting-state brain activity patterns. The analysis identified six networks: frontal, fronto-temporal, default mode network, secondary visual, parietal, and basal ganglia. Stroke patients showed significant decrease in brain activity in parietal and basal ganglia networks and a widespread increase in brain activity in the remaining ones when compared with healthy controls. When analyzed separately, patients with poor cognitive recovery (n=10) showed the same pattern as the whole stroke patient group, while patients with good cognitive recovery (n=8) showed increased activity only in the default mode network and fronto-temporal network, and decreased activity in the basal ganglia. We observe negative correlations between basal ganglia network activity and performance in Semantic Fluency test and Part A of the Trail Making Test for patients with poor cognitive recovery. A reverse pattern was observed between frontal network activity and the above mentioned tests for the same group. .
针对中风患者进行的静息态研究很少。首要目标是探究认知恢复良好的患者与认知恢复较差的患者相比，在静息态脑活动功能模式上是否存在差异。第二个目标是确定这些模式是否与认知表现相关。第三个目标是评估认知恢复的预后因素的存在情况。该研究纳入了18名右利手中风患者和18名健康对照者。中风患者根据中风后三个月观察到的认知改善情况分为两组。采用概率独立成分分析来识别静息态脑活动模式。分析确定了六个网络：额叶、额颞叶、默认模式网络、次级视觉、顶叶和基底神经节。与健康对照者相比，中风患者在顶叶和基底神经节网络中的脑活动显著降低，而在其余网络中的脑活动普遍增加。单独分析时，认知恢复较差的患者（n = 10）表现出与整个中风患者组相同的模式，而认知恢复良好的患者（n = 8）仅在默认模式网络和额颞叶网络中表现出活动增加，在基底神经节中表现出活动减少。我们观察到认知恢复较差的患者在语义流畅性测试和连线测验A部分中，基底神经节网络活动与表现之间呈负相关。对于同一组患者，在额叶网络活动与上述测试之间观察到相反的模式。
