Browsing by Author "Kragel, Philip A"
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Item Open Access Dynamic neural networks supporting memory retrieval.(Neuroimage, 2011-07-15) St Jacques, Peggy L; Kragel, Philip A; Rubin, David CHow do separate neural networks interact to support complex cognitive processes such as remembrance of the personal past? Autobiographical memory (AM) retrieval recruits a consistent pattern of activation that potentially comprises multiple neural networks. However, it is unclear how such large-scale neural networks interact and are modulated by properties of the memory retrieval process. In the present functional MRI (fMRI) study, we combined independent component analysis (ICA) and dynamic causal modeling (DCM) to understand the neural networks supporting AM retrieval. ICA revealed four task-related components consistent with the previous literature: 1) medial prefrontal cortex (PFC) network, associated with self-referential processes, 2) medial temporal lobe (MTL) network, associated with memory, 3) frontoparietal network, associated with strategic search, and 4) cingulooperculum network, associated with goal maintenance. DCM analysis revealed that the medial PFC network drove activation within the system, consistent with the importance of this network to AM retrieval. Additionally, memory accessibility and recollection uniquely altered connectivity between these neural networks. Recollection modulated the influence of the medial PFC on the MTL network during elaboration, suggesting that greater connectivity among subsystems of the default network supports greater re-experience. In contrast, memory accessibility modulated the influence of frontoparietal and MTL networks on the medial PFC network, suggesting that ease of retrieval involves greater fluency among the multiple networks contributing to AM. These results show the integration between neural networks supporting AM retrieval and the modulation of network connectivity by behavior.Item Open Access Neural networks supporting autobiographical memory retrieval in posttraumatic stress disorder.(Cogn Affect Behav Neurosci, 2013-09) St Jacques, Peggy L; Kragel, Philip A; Rubin, David CPosttraumatic stress disorder (PTSD) affects the functional recruitment and connectivity between neural regions during autobiographical memory (AM) retrieval that overlap with default and control networks. Whether such univariate changes relate to potential differences in the contributions of the large-scale neural networks supporting cognition in PTSD is unknown. In the present functional MRI study, we employed independent-component analysis to examine the influence of the engagement of neural networks during the recall of personal memories in a PTSD group (15 participants) as compared to non-trauma-exposed healthy controls (14 participants). We found that the PTSD group recruited similar neural networks when compared to the controls during AM recall, including default-network subsystems and control networks, but group differences emerged in the spatial and temporal characteristics of these networks. First, we found spatial differences in the contributions of the anterior and posterior midline across the networks, and of the amygdala in particular, for the medial temporal subsystem of the default network. Second, we found temporal differences within the medial prefrontal subsystem of the default network, with less temporal coupling of this network during AM retrieval in PTSD relative to controls. These findings suggest that the spatial and temporal characteristics of the default and control networks potentially differ in a PTSD group versus healthy controls and contribute to altered recall of personal memory.Item Open Access Taking tests in the magnet: Brain mapping standardized tests.(Human brain mapping, 2017-11) Rubin, David C; Li, Dawei; Hall, Shana A; Kragel, Philip A; Berntsen, DortheStandardized psychometric tests are sophisticated, well-developed, and consequential instruments; test outcomes are taken as facts about people that impact their lives in important ways. As part of an initial demonstration that human brain mapping techniques can add converging neural-level evidence to understanding standardized tests, our participants completed items from standardized tests during an fMRI scan. We compared tests for diagnosing posttraumatic stress disorder (PTSD) and the correlated measures of Neuroticism, Attachment, and Centrality of Event to a general-knowledge baseline test. Twenty-three trauma-exposed participants answered 20 items for each of our five tests in each of the three runs for a total of 60 items per test. The tests engaged different neural processes; which test a participant was taking was accurately predicted from other participants' brain activity. The novelty of the application precluded specific anatomical predictions; however, the interpretation of activated regions using meta-analyses produced encouraging results. For instance, items on the Attachment test engaged regions shown to be more active for tasks involving judgments of others than judgments of the self. The results are an initial demonstration of a theoretically and practically important test-taking neuroimaging paradigm and suggest specific neural processes in answering PTSD-related tests. Hum Brain Mapp 38:5706-5725, 2017. © 2017 Wiley Periodicals, Inc.