Cassidy Clifford M, Van Snellenberg Jared X, Benavides Caridad, Slifstein Mark, Wang Zhishun, Moore Holly, Abi-Dargham Anissa, Horga Guillermo
Department of Psychiatry, Columbia University, New York, New York 10032, and New York State Psychiatric Institute, New York, New York 10032
Department of Psychiatry, Columbia University, New York, New York 10032, and New York State Psychiatric Institute, New York, New York 10032.
J Neurosci. 2016 Apr 13;36(15):4377-88. doi: 10.1523/JNEUROSCI.3296-15.2016.
Connectivity between brain networks may adapt flexibly to cognitive demand, a process that could underlie adaptive behaviors and cognitive deficits, such as those observed in neuropsychiatric conditions like schizophrenia. Dopamine signaling is critical for working memory but its influence on internetwork connectivity is relatively unknown. We addressed these questions in healthy humans using functional magnetic resonance imaging (during ann-back working-memory task) and positron emission tomography using the radiotracer [(11)C]FLB457 before and after amphetamine to measure the capacity for dopamine release in extrastriatal brain regions. Brain networks were defined by spatial independent component analysis (ICA) and working-memory-load-dependent connectivity between task-relevant pairs of networks was determined via a modified psychophysiological interaction analysis. For most pairs of task-relevant networks, connectivity significantly changed as a function of working-memory load. Moreover, load-dependent changes in connectivity between left and right frontoparietal networks (Δ connectivity lFPN-rFPN) predicted interindividual differences in task performance more accurately than other fMRI and PET imaging measures. Δ Connectivity lFPN-rFPN was not related to cortical dopamine release capacity. A second study in unmedicated patients with schizophrenia showed no abnormalities in load-dependent connectivity but showed a weaker relationship between Δ connectivity lFPN-rFPN and working memory performance in patients compared with matched healthy individuals. Poor working memory performance in patients was, in contrast, related to deficient cortical dopamine release. Our findings indicate that interactions between brain networks dynamically adapt to fluctuating environmental demands. These dynamic adaptations underlie successful working memory performance in healthy individuals and are not well predicted by amphetamine-induced dopamine release capacity.
It is unclear how communication between brain networks responds to changing environmental demands during complex cognitive processes. Also, unknown in regard to these network dynamics is the role of neuromodulators, such as dopamine, and whether their dysregulation could underlie cognitive deficits in neuropsychiatric illness. We found that connectivity between brain networks changes with working-memory load and greater increases predict better working memory performance; however, it was not related to capacity for dopamine release in the cortex. Patients with schizophrenia did show dynamic internetwork connectivity; however, this was more weakly associated with successful performance in patients compared with healthy individuals. Our findings indicate that dynamic interactions between brain networks may support the type of flexible adaptations essential to goal-directed behavior.
脑网络之间的连通性可能会灵活地适应认知需求,这一过程可能是适应性行为和认知缺陷的基础,比如在精神分裂症等神经精神疾病中观察到的情况。多巴胺信号传导对工作记忆至关重要,但其对网络间连通性的影响相对未知。我们在健康人类中利用功能磁共振成像(在一项n-back工作记忆任务期间)以及正电子发射断层扫描,使用放射性示踪剂[(11)C]FLB457在安非他明给药前后测量纹状体外脑区多巴胺释放能力,从而解决了这些问题。脑网络通过空间独立成分分析(ICA)来定义,并且通过改良的心理生理交互分析确定任务相关网络对之间与工作记忆负荷相关的连通性。对于大多数任务相关网络对,连通性随工作记忆负荷显著变化。此外,左右额顶叶网络之间连通性的负荷依赖性变化(Δ连通性lFPN-rFPN)比其他功能磁共振成像和正电子发射断层扫描成像测量更准确地预测了个体在任务表现上的差异。Δ连通性lFPN-rFPN与皮质多巴胺释放能力无关。第二项针对未用药精神分裂症患者的研究表明,负荷依赖性连通性没有异常,但与匹配的健康个体相比,患者中Δ连通性lFPN-rFPN与工作记忆表现之间的关系较弱。相比之下,患者较差的工作记忆表现与皮质多巴胺释放不足有关。我们的研究结果表明,脑网络之间的相互作用会动态地适应不断变化的环境需求。这些动态适应是健康个体成功工作记忆表现的基础,并且安非他明诱导的多巴胺释放能力并不能很好地预测它们。
目前尚不清楚在复杂认知过程中脑网络之间的通信如何响应不断变化 的环境需求。同样,关于这些网络动态,神经调节剂(如多巴胺)的作用以及它们的失调是否可能是神经精神疾病认知缺陷的基础也尚不清楚。我们发现脑网络之间的连通性随工作记忆负荷而变化,更大的增加预示着更好的工作记忆表现;然而,它与皮质中多巴胺释放能力无关。精神分裂症患者确实表现出动态的网络间连通性;然而,与健康个体相比,这在患者中与成功表现的关联较弱。我们的研究结果表明,脑网络之间的动态相互作用可能支持对目标导向行为至关重要的灵活适应类型。