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Nie J, Zhang Z, Wang B, Li H, Xu J, Wu S, Zhu C, Yang X, Liu B, Wu Y, Tan S, Wen Z, Zheng J, Shu S, Ma L. Different memory patterns of digits: a functional MRI study. J Biomed Sci 2019; 26:22. [PMID: 30832663 PMCID: PMC6398246 DOI: 10.1186/s12929-019-0516-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Accepted: 02/26/2019] [Indexed: 11/10/2022] Open
Abstract
Background Psychological investigations and functional imaging technology have been used to describe neural correlations of different types of memory with various stimuli. Memory with limited storage capacity and a short retention time can be classified as short-term memory (STM) while long-term memory (LTM) can be life-long without defined capacity. Methods To identify brain activation pattern associated with different modes of memory for numerical figures, we detected brain activities from twenty-two healthy subjects when performing three types of memory tasks for numbers, namely STM, LTM and working memory (WM), by using functional magnetic resonance imaging (fMRI) technique. Results The result revealed variable patterns of activation in different brain regions responding to different types of memory tasks. The activation regions with primary processing and transient maintenance of STM for numerical figures are located in the visual cortex and mainly encoded by visual representations, while LTM was encoded by semantics and mainly recruiting left frontal cortex. We also found that subcortical structures, such as the caudate nucleus and the marginal division of the striatum, plays important roles in working memory. Conclusions Activation of different brain regions in these three kinds of memories, indicating that different kinds of memories rely on different neural correlates and mental processes.
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Affiliation(s)
- Jingxin Nie
- School of Psychology, Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Zengqiang Zhang
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Bin Wang
- Pediatric Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Hong Li
- Pediatric Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Jianghua Xu
- Hangzhou Sanatorium of air force, 15th Yanggongdi Road, Hangzhou, 310007, China
| | - Sheng Wu
- Hangzhou Sanatorium of Army, 27 Yang-gong Di, Hangzhou, 310007, China
| | - Chunhua Zhu
- Hangzhou Sanatorium of Army, 27 Yang-gong Di, Hangzhou, 310007, China
| | - Xin Yang
- The first Sanatorium of PLA Navy, Qingdao, 266071, China
| | - Bin Liu
- Department of Emergency, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Yongming Wu
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Sheng Tan
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Zhibo Wen
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Jinlong Zheng
- Department of Neurology, Huai'an First People's Hospital, Nanjing Medical University, Huai'an Jiangsu, 223300, China
| | - Siyun Shu
- Pediatric Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
| | - Lin Ma
- Department of Radiology, The General Hospital of Chinese People's Liberation Army, Bejing, 100853, China.
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Huang S, Zhu Z, Zhang W, Chen Y, Zhen S. Trait impulsivity components correlate differently with proactive and reactive control. PLoS One 2017; 12:e0176102. [PMID: 28423021 PMCID: PMC5397062 DOI: 10.1371/journal.pone.0176102] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 04/05/2017] [Indexed: 11/20/2022] Open
Abstract
The relationship between impulsivity and cognitive control is still unknown. We hypothesized that trait impulsivity would differentially correlate with specific cognitive control processes. Trait impulsivity was measured by the Barratt Impulsiveness Scale, which assesses motor, attention, and non-planning impulsiveness components. Cognitive control was measured by a hybrid-designed Stroop task, which distinguishes proactive and reactive control. Thirty-three participants performed the Stroop task while they were scanned by functional magnetic resonance imaging. Proactive and reactive control involved increased activity in the fronto-parietal network, and brain activity was associated with impulsivity scores. Specifically, higher motor impulsiveness was associated with a larger proactive control effect in the inferior parietal lobule and a smaller reactive control effect in the right dorsolateral prefrontal cortex (DLPFC) and anterior cingulate contex. Higher attention impulsivity was associated with a smaller proactive control effect in the right DLPFC. Such a correlation pattern suggests that impulsivity trait components are attributable to different cognitive control subsystems.
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Affiliation(s)
- Shihua Huang
- School of Psychology, and Center for the Study of Applied Psychology, South China Normal University, Guangzhou, China
- School of Economic and Management, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zude Zhu
- School of Linguistics and Arts, and Collaborative Innovation Center for Language Competence, Jiangsu Normal University, Xuzhou, China
- * E-mail: (ZZ); (WZ)
| | - Wei Zhang
- School of Psychology, and Center for the Study of Applied Psychology, South China Normal University, Guangzhou, China
- * E-mail: (ZZ); (WZ)
| | - Yu Chen
- School of Psychology, and Center for the Study of Applied Psychology, South China Normal University, Guangzhou, China
| | - Shuangju Zhen
- School of Psychology, and Center for the Study of Applied Psychology, South China Normal University, Guangzhou, China
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Irlbacher K, Kraft A, Kehrer S, Brandt SA. Mechanisms and neuronal networks involved in reactive and proactive cognitive control of interference in working memory. Neurosci Biobehav Rev 2014; 46 Pt 1:58-70. [DOI: 10.1016/j.neubiorev.2014.06.014] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2013] [Revised: 06/22/2014] [Accepted: 06/27/2014] [Indexed: 11/17/2022]
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Yi Y, Friedman D. Age-related differences in working memory: ERPs reveal age-related delays in selection- and inhibition-related processes. AGING NEUROPSYCHOLOGY AND COGNITION 2013; 21:483-513. [PMID: 24015921 DOI: 10.1080/13825585.2013.833581] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Faulty inhibition is implicated in age-related working memory decline. ERP signs of selection and inhibition of items in working memory (WM) are, respectively, a cue-locked parietal positivity (∼ 350 ms) and a probe-locked frontal negativity (∼ 520 ms). To determine when in the older age range differences in selective and inhibitory processes might occur, ERPs were recorded in a WM task from 20 young (20-28), 20 young-old (60-70), and 20 old-old (71-82) adults. A 4-digit display was followed by a cue indicating which 2 of 4 digits were relevant. Proactive interference (PI), the reaction time difference between a matching and non-matching to-be-ignored digit was larger, relative to the young, in both older groups. Compared to the young, both the cue- and probe-locked activities were prolonged in the older groups. Although there were no topographic differences among the age groups, the prolonged PI and associated ERPs suggest a relative age-related deficit in inhibition.
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Affiliation(s)
- Yuji Yi
- a Cognitive Electrophysiology Laboratory, Division of Cognitive Neuroscience , New York State Psychiatric Institute , New York , NY , USA
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Rottschy C, Langner R, Dogan I, Reetz K, Laird AR, Schulz JB, Fox PT, Eickhoff SB. Modelling neural correlates of working memory: a coordinate-based meta-analysis. Neuroimage 2012; 60:830-46. [PMID: 22178808 PMCID: PMC3288533 DOI: 10.1016/j.neuroimage.2011.11.050] [Citation(s) in RCA: 651] [Impact Index Per Article: 54.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2011] [Revised: 11/10/2011] [Accepted: 11/17/2011] [Indexed: 11/28/2022] Open
Abstract
Working memory subsumes the capability to memorize, retrieve and utilize information for a limited period of time which is essential to many human behaviours. Moreover, impairments of working memory functions may be found in nearly all neurological and psychiatric diseases. To examine what brain regions are commonly and differently active during various working memory tasks, we performed a coordinate-based meta-analysis over 189 fMRI experiments on healthy subjects. The main effect yielded a widespread bilateral fronto-parietal network. Further meta-analyses revealed that several regions were sensitive to specific task components, e.g. Broca's region was selectively active during verbal tasks or ventral and dorsal premotor cortex were preferentially involved in memory for object identity and location, respectively. Moreover, the lateral prefrontal cortex showed a division in a rostral and a caudal part based on differential involvement in task set and load effects. Nevertheless, a consistent but more restricted "core" network emerged from conjunctions across analyses of specific task designs and contrasts. This "core" network appears to comprise the quintessence of regions, which are necessary during working memory tasks. It may be argued that the core regions form a distributed executive network with potentially generalized functions for focussing on competing representations in the brain. The present study demonstrates that meta-analyses are a powerful tool to integrate the data of functional imaging studies on a (broader) psychological construct, probing the consistency across various paradigms as well as the differential effects of different experimental implementations.
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Affiliation(s)
- C Rottschy
- Department of Neurology, RWTH Aachen University, Aachen, Germany
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