McLaren Donald G, Sperling Reisa A, Atri Alireza
Department of Neurology, Massachusetts General Hospital, 15 Parkman Street, WACC 715, Boston, MA 02114, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, MA 02129, USA; Geriatric Research, Education and Clinical Center, ENRM VA Medical Center, 200 Springs Road, Bedford, MA 01730, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
Department of Neurology, Massachusetts General Hospital, 15 Parkman Street, WACC 715, Boston, MA 02114, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, MA 02129, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA; Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, 221 Longwood Avenue, Boston, MA 02115, USA.
Neuroimage. 2014 Oct 15;100:544-57. doi: 10.1016/j.neuroimage.2014.05.032. Epub 2014 May 20.
Functional neuroimaging tools, such as fMRI methods, may elucidate the neural correlates of clinical, behavioral, and cognitive performance. Most functional imaging studies focus on regional task-related activity or resting state connectivity rather than how changes in functional connectivity across conditions and tasks are related to cognitive and behavioral performance. To investigate the promise of characterizing context-dependent connectivity-behavior relationships, this study applies the method of generalized psychophysiological interactions (gPPI) to assess the patterns of associative-memory-related fMRI hippocampal functional connectivity in Alzheimer's disease (AD) associated with performance on memory and other cognitively demanding neuropsychological tests and clinical measures. Twenty-four subjects with mild AD dementia (ages 54-82, nine females) participated in a face-name paired-associate encoding memory study. Generalized PPI analysis was used to estimate the connectivity between the hippocampus and the whole brain during encoding. The difference in hippocampal-whole brain connectivity between encoding novel and encoding repeated face-name pairs was used in multiple-regression analyses as an independent predictor for 10 behavioral, neuropsychological and clinical tests. The analysis revealed connectivity-behavior relationships that were distributed, dynamically overlapping, and task-specific within and across intrinsic networks; hippocampal-whole brain connectivity-behavior relationships were not isolated to single networks, but spanned multiple brain networks. Importantly, these spatially distributed performance patterns were unique for each measure. In general, out-of-network behavioral associations with encoding novel greater than repeated face-name pairs hippocampal-connectivity were observed in the default-mode network, while correlations with encoding repeated greater than novel face-name pairs hippocampal-connectivity were observed in the executive control network (p<0.05, cluster corrected). Psychophysiological interactions revealed significantly more extensive and robust associations between paired-associate encoding task-dependent hippocampal-whole brain connectivity and performance on memory and behavioral/clinical measures than previously revealed by standard activity-behavior analysis. Compared to resting state and task-activation methods, gPPI analyses may be more sensitive to reveal additional complementary information regarding subtle within- and between-network relations. The patterns of robust correlations between hippocampal-whole brain connectivity and behavioral measures identified here suggest that there are 'coordinated states' in the brain; that the dynamic range of these states is related to behavior and cognition; and that these states can be observed and quantified, even in individuals with mild AD.
功能神经成像工具,如功能磁共振成像(fMRI)方法,可能会阐明临床、行为和认知表现的神经关联。大多数功能成像研究关注与任务相关的区域活动或静息状态连接,而非不同条件和任务下功能连接的变化如何与认知和行为表现相关。为了探究表征上下文依赖的连接-行为关系的前景,本研究应用广义心理生理交互作用(gPPI)方法,来评估阿尔茨海默病(AD)中与记忆及其他认知要求较高的神经心理学测试和临床测量表现相关的、与联想记忆有关的功能磁共振成像海马体功能连接模式。24名轻度AD痴呆患者(年龄54 - 82岁,9名女性)参与了一项面孔-名字配对联想编码记忆研究。广义PPI分析用于估计编码过程中海马体与全脑之间的连接。编码新面孔-名字对和编码重复面孔-名字对时海马体-全脑连接的差异,在多元回归分析中用作10项行为、神经心理学和临床测试的独立预测指标。分析揭示了在内在网络内部和之间分布的、动态重叠且特定于任务的连接-行为关系;海马体-全脑连接-行为关系并非局限于单个网络,而是跨越多个脑网络。重要的是,这些空间分布的表现模式对每项测量而言都是独特的。一般来说,在默认模式网络中观察到与编码新面孔-名字对比重复面孔-名字对时海马体连接更强的网络外行为关联,而在执行控制网络中观察到与编码重复面孔-名字对比新面孔-名字对时海马体连接更强的相关性(p<0.05,聚类校正)。心理生理交互作用揭示,与标准活动-行为分析相比,配对联想编码任务依赖的海马体-全脑连接与记忆及行为/临床测量表现之间存在显著更广泛和更强有力的关联。与静息状态和任务激活方法相比,gPPI分析可能对揭示有关网络内和网络间细微关系的额外补充信息更敏感。此处确定的海马体-全脑连接与行为测量之间的强相关模式表明,大脑中存在“协调状态”;这些状态的动态范围与行为和认知相关;并且即使在轻度AD个体中也能观察和量化这些状态。