start-ver=1.4 cd-journal=joma no-vol=127 cd-vols= no-issue=5 article-no= start-page=1398 end-page=1406 dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20220509 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Tactile angle discriminability improvement: contributions of working memory training and continuous attended sensory input en-subtitle= kn-subtitle= en-abstract= kn-abstract=Perceptual learning is commonly assumed to enhance perception through continuous attended sensory input. However, learning is generalizable to performance in untrained stimuli and tasks. Although previous studies have observed a possible generalization effect across tasks as a result of working memory (WM) training, comparisons of the contributions of WM training and continuous attended sensory input to perceptual learning generalization are still rare. Therefore, we compared which factors contributed most to perceptual generalization and investigated which skills acquired during WM training led to tactile generalization across tasks. Here, a Braille-like dot pattern matching n-back WM task was used as the WM training task, with four workload levels (0, 1, 2, and 3-back levels). A tactile angle discrimination (TAD) task was used as a pre- and posttest to assess improvements in tactile perception. Between tests, four subject groups were randomly assigned to four different workload n-back tasks to consecutively complete three sessions of training. The results showed that tactile n-back WM training could enhance TAD performance, with the 3-back training group having the highest TAD threshold improvement rate. Furthermore, the rate of WM capacity improvement on the 3-back level across training sessions was correlated with the rate of TAD threshold improvement. These findings suggest that continuous attended sensory input and enhanced WM capacity can lead to improvements in TAD ability, and that greater improvements in WM capacity can predict greater improvements in TAD performance.
NEW & NOTEWORTHY Perceptual learning is not always specific to the trained task and stimuli. We demonstrate that both continuous attended sensory input and improved WM capacity can be used to enhance tactile angle discrimination (TAD) ability. Moreover, WM capacity improvement is important in generalizing the training effect to the TAD ability. These findings contribute to understanding the mechanism of perceptual learning generalization across tasks. en-copyright= kn-copyright= en-aut-name=WangWu en-aut-sei=Wang en-aut-mei=Wu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=LiHuazhi en-aut-sei=Li en-aut-mei=Huazhi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=LiuYulong en-aut-sei=Liu en-aut-mei=Yulong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=YuYiyang en-aut-sei=Yu en-aut-mei=Yiyang kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=YuJiabin en-aut-sei=Yu en-aut-mei=Jiabin kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=TangXiaoyu en-aut-sei=Tang en-aut-mei=Xiaoyu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=YangJingjing en-aut-sei=Yang en-aut-mei=Jingjing kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= affil-num=1 en-affil=School of Psychological and Cognitive Sciences, Peking University kn-affil= affil-num=2 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=3 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=5 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=College of Information Engineering, China Jiliang University kn-affil= affil-num=8 en-affil=School of Psychology, Liaoning Collaborative Innovation Center of Children and Adolescents Healthy Personality Assessment and Cultivation, Liaoning Normal University kn-affil= affil-num=9 en-affil=School of Computer Science and Technology, Changchun University of Science and Technology kn-affil= affil-num=10 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=11 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=12 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=continuous attended sensory input kn-keyword=continuous attended sensory input en-keyword=perceptual learning kn-keyword=perceptual learning en-keyword=tactile angle discriminability kn-keyword=tactile angle discriminability en-keyword=tactile generalization kn-keyword=tactile generalization en-keyword=working memory training kn-keyword=working memory training END start-ver=1.4 cd-journal=joma no-vol=240 cd-vols= no-issue=3 article-no= start-page=773 end-page=789 dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20220116 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Global surface features contribute to human haptic roughness estimations en-subtitle= kn-subtitle= en-abstract= kn-abstract=Previous studies have paid special attention to the relationship between local features (e.g., raised dots) and human roughness perception. However, the relationship between global features (e.g., curved surface) and haptic roughness perception is still unclear. In the present study, a series of roughness estimation experiments was performed to investigate how global features affect human roughness perception. In each experiment, participants were asked to estimate the roughness of a series of haptic stimuli that combined local features (raised dots) and global features (sinusoidal-like curves). Experiments were designed to reveal whether global features changed their haptic roughness estimation. Furthermore, the present study tested whether the exploration method (direct, indirect, and static) changed haptic roughness estimations and examined the contribution of global features to roughness estimations. The results showed that sinusoidal-like curved surfaces with small periods were perceived to be rougher than those with large periods, while the direction of finger movement and indirect exploration did not change this phenomenon. Furthermore, the influence of global features on roughness was modulated by local features, regardless of whether raised-dot surfaces or smooth surfaces were used. Taken together, these findings suggested that an objectfs global features contribute to haptic roughness perceptions, while local features change the weight of the contribution that global features make to haptic roughness perceptions. en-copyright= kn-copyright= en-aut-name=LiHuazhi en-aut-sei=Li en-aut-mei=Huazhi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=WangWu en-aut-sei=Wang en-aut-mei=Wu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=LiuYulong en-aut-sei=Liu en-aut-mei=Yulong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=ZhouMengni en-aut-sei=Zhou en-aut-mei=Mengni kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=LiQingqing en-aut-sei=Li en-aut-mei=Qingqing kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=YangJingjing en-aut-sei=Yang en-aut-mei=Jingjing kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=ShaoShiping en-aut-sei=Shao en-aut-mei=Shiping kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= affil-num=1 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=3 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=School of Psychological and Cognitive Sciences, Peking University kn-affil= affil-num=5 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=Department of Teacher Education, Wenzhou University kn-affil= affil-num=8 en-affil=School of Computer Science and Technology, Changchun University of Science and Technology kn-affil= affil-num=9 en-affil=School of Social Welfare, Yonsei University kn-affil= affil-num=10 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=11 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=12 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=Haptic roughness perception kn-keyword=Haptic roughness perception en-keyword=Raised-dot surface kn-keyword=Raised-dot surface en-keyword=Local feature kn-keyword=Local feature en-keyword=Global feature kn-keyword=Global feature END start-ver=1.4 cd-journal=joma no-vol=13 cd-vols= no-issue=7 article-no= start-page=992 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2023 dt-pub=20230624 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Audiovisual n-Back Training Alters the Neural Processes of Working Memory and Audiovisual Integration: Evidence of Changes in ERPs en-subtitle= kn-subtitle= en-abstract= kn-abstract=(1) Background: This study investigates whether audiovisual n-back training leads to training effects on working memory and transfer effects on perceptual processing. (2) Methods: Before and after training, the participants were tested using the audiovisual n-back task (1-, 2-, or 3-back), to detect training effects, and the audiovisual discrimination task, to detect transfer effects. (3) Results: For the training effect, the behavioral results show that training leads to greater accuracy and faster response times. Stronger training gains in accuracy and response time using 3- and 2-back tasks, compared to 1-back, were observed in the training group. Event-related potentials (ERPs) data revealed an enhancement of P300 in the frontal and central regions across all working memory levels after training. Training also led to the enhancement of N200 in the central region in the 3-back condition. For the transfer effect, greater audiovisual integration in the frontal and central regions during the post-test rather than pre-test was observed at an early stage (80-120 ms) in the training group. (4) Conclusion: Our findings provide evidence that audiovisual n-back training enhances neural processes underlying a working memory and demonstrate a positive influence of higher cognitive functions on lower cognitive functions. en-copyright= kn-copyright= en-aut-name=GuoAo en-aut-sei=Guo en-aut-mei=Ao kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangWeiping en-aut-sei=Yang en-aut-mei=Weiping kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YangXiangfu en-aut-sei=Yang en-aut-mei=Xiangfu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=LinJinfei en-aut-sei=Lin en-aut-mei=Jinfei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=LiZimo en-aut-sei=Li en-aut-mei=Zimo kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=RenYanna en-aut-sei=Ren en-aut-mei=Yanna kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= affil-num=1 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=2 en-affil=Department of Psychology, Faculty of Education, Hubei University kn-affil= affil-num=3 en-affil=Department of Psychology, Faculty of Education, Hubei University kn-affil= affil-num=4 en-affil=Department of Psychology, Faculty of Education, Hubei University kn-affil= affil-num=5 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Department of Psychology, College of Humanities and Management, Guizhou University of Traditional Chinese Medicine kn-affil= affil-num=7 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=8 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=audiovisual n-back kn-keyword=audiovisual n-back en-keyword=training kn-keyword=training en-keyword=audiovisual integration kn-keyword=audiovisual integration en-keyword=ERPs kn-keyword=ERPs en-keyword=training effect kn-keyword=training effect en-keyword=transfer effect kn-keyword=transfer effect END start-ver=1.4 cd-journal=joma no-vol=14 cd-vols= no-issue= article-no= start-page=1105824 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2023 dt-pub=20230503 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Auditory affective content facilitates time-to-contact estimation of visual affective targets en-subtitle= kn-subtitle= en-abstract= kn-abstract=Reacting to a moving object requires an ability to estimate when a moving object reaches its destination, also referred to as the time-to-contact (TTC) estimation. Although the TTC estimation of threatening visually moving objects is known to be underestimated, the effect of the affective content of auditory information on visual TTC estimation remains unclear. We manipulated the velocity and presentation time to investigate the TTC of a threat or non-threat target with the addition of auditory information. In the task, a visual or an audiovisual target moved from right to left and disappeared behind an occluder. Participants' task was to estimate the TTC of the target, they needed to press a button when they thought that the target contacted a destination behind the occluder. Behaviorally, the additional auditory affective content facilitated TTC estimation; velocity was a more critical factor than presentation time in determining the audiovisual threat facilitation effect. Overall, the results indicate that exposure to auditory affective content can influence TTC estimation and that the effect of velocity on TTC estimation will provide more information than presentation time. en-copyright= kn-copyright= en-aut-name=LuFeifei en-aut-sei=Lu en-aut-mei=Feifei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=LiYou en-aut-sei=Li en-aut-mei=You kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=WangAijun en-aut-sei=Wang en-aut-mei=Aijun kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=ZhangMing en-aut-sei=Zhang en-aut-mei=Ming kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= affil-num=1 en-affil=Department of Psychology, Research Center for Psychology and Behavioral Sciences, Soochow University kn-affil= affil-num=2 en-affil=College of Chinese Language and Culture, Jinan University kn-affil= affil-num=3 en-affil=Applied Brain Science Lab, Faculty of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=Department of Psychology, Research Center for Psychology and Behavioral Sciences, Soochow University kn-affil= affil-num=5 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=time-to-contact (TTC) estimation kn-keyword=time-to-contact (TTC) estimation en-keyword=threat kn-keyword=threat en-keyword=audiovisual integration kn-keyword=audiovisual integration en-keyword=velocity kn-keyword=velocity en-keyword=presentation time kn-keyword=presentation time END start-ver=1.4 cd-journal=joma no-vol=13 cd-vols= no-issue= article-no= start-page=1035690 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20221117 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Subliminal meaning-contingent attentional orienting: The role of attentional control setting based on displaywide features en-subtitle= kn-subtitle= en-abstract= kn-abstract=People's subjective factors can affect the spatial allocation of attention, and objects that are more in line with people's expectations are easier to attract attention. In the current study, we wanted to know whether the meaning-contingent spatial attentional orienting could occur at the subliminal level, that is, whether conscious awareness was needed, and which attentional control settings worked. The current study employed a modified spatial cueing paradigm and the cues were made imperceptible by backward masking. The results showed that the capture effects of the left and the right positions stemmed from the meaning-contingent attentional control setting based on displaywide features, while the inhibition effect of the lower position and the capture effect of the upper position stemmed from the abrupt onset of subliminal cues and their masks. It is concluded that the attentional orienting of meaning contingency could occur at the subliminal level, which was not restricted by conscious perception. In particular, the attentional control setting based on displaywide features played an important role in spatial attentional orienting, which was manifested in the consistent capture effects on the horizontal sides. This study refined and separated the spatial attentional orienting effects, supported the contingent involuntary attentional orienting hypothesis, and expanded its scope of application. en-copyright= kn-copyright= en-aut-name=WangHuiyuan en-aut-sei=Wang en-aut-mei=Huiyuan kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=GaoYulin en-aut-sei=Gao en-aut-mei=Yulin kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=ZhangMing en-aut-sei=Zhang en-aut-mei=Ming kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= affil-num=1 en-affil=Department of Psychology, Jilin University kn-affil= affil-num=2 en-affil=Faculty of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=3 en-affil=Department of Psychology, Jilin University kn-affil= affil-num=4 en-affil=Faculty of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=subliminal kn-keyword=subliminal en-keyword=meaning contingency kn-keyword=meaning contingency en-keyword=attentional orienting kn-keyword=attentional orienting en-keyword=displaywide features kn-keyword=displaywide features en-keyword=attentional control setting kn-keyword=attentional control setting END start-ver=1.4 cd-journal=joma no-vol=248 cd-vols= no-issue= article-no= start-page=118867 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=202203 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Layer-specific activation in human primary somatosensory cortex during tactile temporal prediction error processing en-subtitle= kn-subtitle= en-abstract= kn-abstract=The human brain continuously generates predictions of incoming sensory input and calculates corresponding prediction errors from the perceived inputs to update internal predictions. In human primary somatosensory cortex (area 3b), different cortical layers are involved in receiving the sensory input and generation of error signals. It remains unknown, however, how the layers in the human area 3b contribute to the temporal prediction error processing. To investigate prediction error representation in the area 3b across layers, we acquired layer specific functional magnetic resonance imaging (fMRI) data at 7T from human area 3b during a task of index finger poking with no-delay, short-delay and long-delay touching sequences. We demonstrate that all three tasks increased activity in both superficial and deep layers of area 3b compared to the random sensory input. The fMRI signal was differentially modulated solely in the deep layers rather than the superficial layers of area 3b by the delay time. Compared with the no-delay stimuli, activity was greater in the deep layers of area 3b during the short delay stimuli but lower during the long-delay stimuli. This difference activity features in the superficial and deep layers suggest distinct functional contributions of area 3b layers to tactile temporal prediction error processing. The functional segregation in area 3b across layers may reflect that the excitatory and inhibitory interplay in the sensory cortex contributions to flexible communication between cortical layers or between cortical areas. en-copyright= kn-copyright= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=HuberLaurentius en-aut-sei=Huber en-aut-mei=Laurentius kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=FukunagaMasaki en-aut-sei=Fukunaga en-aut-mei=Masaki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=ChaiYuhui en-aut-sei=Chai en-aut-mei=Yuhui kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=JangrawDavid C. en-aut-sei=Jangraw en-aut-mei=David C. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=ChenGang en-aut-sei=Chen en-aut-mei=Gang kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=HandwerkerDaniel A. en-aut-sei=Handwerker en-aut-mei=Daniel A. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=MolfesePeter J. en-aut-sei=Molfese en-aut-mei=Peter J. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=SadatoNorihiro en-aut-sei=Sadato en-aut-mei=Norihiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=12 ORCID= en-aut-name=BandettiniPeter A. en-aut-sei=Bandettini en-aut-mei=Peter A. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=13 ORCID= affil-num=1 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=2 en-affil=MR-Methods Group, MBIC, Cognitive Neuroscience Department, Faculty of Psychology and Neuroscience, University of Maastricht, Cognitive Neuroscience kn-affil= affil-num=3 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=Division of Cerebral Research, National Institute for Physiological Sciences kn-affil= affil-num=5 en-affil=Section on Functional Imaging Methods, National Institute of Mental Health kn-affil= affil-num=6 en-affil=Section on Functional Imaging Methods, National Institute of Mental Health kn-affil= affil-num=7 en-affil=Scientific and Statistical Computational Core, National Institute of Mental Health kn-affil= affil-num=8 en-affil=Section on Functional Imaging Methods, National Institute of Mental Health kn-affil= affil-num=9 en-affil=Section on Functional Imaging Methods, National Institute of Mental Health kn-affil= affil-num=10 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=11 en-affil=Division of Cerebral Research, National Institute for Physiological Sciences kn-affil= affil-num=12 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=13 en-affil=Section on Functional Imaging Methods, National Institute of Mental Health kn-affil= en-keyword=Layer-specific fMRI kn-keyword=Layer-specific fMRI en-keyword=Tactile prediction kn-keyword=Tactile prediction en-keyword=Primary somatosensory cortex kn-keyword=Primary somatosensory cortex en-keyword=Temporal prediction error kn-keyword=Temporal prediction error en-keyword=High-resolution CBV-fMRI kn-keyword=High-resolution CBV-fMRI END start-ver=1.4 cd-journal=joma no-vol=128 cd-vols= no-issue= article-no= start-page=467 end-page=478 dt-received= dt-revised= dt-accepted= dt-pub-year=2021 dt-pub=20219 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Linking cortical circuit models to human cognition with laminar fMRI en-subtitle= kn-subtitle= en-abstract= kn-abstract=Laboratory animal research has provided significant knowledge into the function of cortical circuits at the laminar level, which has yet to be fully leveraged towards insights about human brain function on a similar spatiotemporal scale. The use of functional magnetic resonance imaging (fMRI) in conjunction with neural models provides new opportunities to gain important insights from current knowledge. During the last five years, human studies have demonstrated the value of high-resolution fMRI to study laminar-specific activity in the human brain. This is mostly performed at ultra-high-field strengths (? 7 T) and is known as laminar fMRI. Advancements in laminar fMRI are beginning to open new possibilities for studying questions in basic cognitive neuroscience. In this paper, we first review recent methodological advances in laminar fMRI and describe recent human laminar fMRI studies. Then, we discuss how the use of laminar fMRI can help bridge the gap between cortical circuit models and human cognition. en-copyright= kn-copyright= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=HuberLaurentius en-aut-sei=Huber en-aut-mei=Laurentius kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=BandettiniPeter A. en-aut-sei=Bandettini en-aut-mei=Peter A. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= affil-num=1 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=2 en-affil=MR-Methods Group, Faculty of Psychology and Neuroscience, University of Maastricht kn-affil= affil-num=3 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=Section on Functional Imaging Methods, National Institute of Mental Health kn-affil= en-keyword=Cortical layers kn-keyword=Cortical layers en-keyword= Laminar fMRI kn-keyword= Laminar fMRI en-keyword=Cortical circuit models kn-keyword=Cortical circuit models en-keyword=Human brain function kn-keyword=Human brain function en-keyword=Cognition kn-keyword=Cognition END start-ver=1.4 cd-journal=joma no-vol=11 cd-vols= no-issue=15 article-no= start-page=7049 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2021 dt-pub=20210730 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=A New Method for Haptic Shape Discriminability Detection en-subtitle= kn-subtitle= en-abstract= kn-abstract=Touch shape discrimination is not only closely related to tactile mechanoreceptors but also higher cognitive function. However, previous shape discrimination methods are difficult to complete in a short time, and the devices are complicated to operate and not user-friendly for nonprofessionals. Here, we propose a new method, the evaluation quantity of which is the angle discrimination threshold. In addition, to make this method easy to use for nonprofessionals, we designed a haptic angle sorting system, including the device and software. To evaluate this method, the angle sorting and two-angle discrimination experiments were compared, and it was found that participants spent significantly less time in the former experiment than in the latter. At the same time, there is a strong correlation between the performance of angle sorting and two-angle discrimination, which shows that the angle threshold obtained by the new method can also be used to evaluate the ability of touch discrimination. Moreover, the angle sorting results of different age groups also further demonstrate the feasibility of the method. The efficiency of this new method and the effectiveness of the system also provide a convenient means for evaluating haptic shape discrimination, which may have potential clinical application value in the early diagnosis of peripheral neuropathy and even in the evaluation of cognitive function. en-copyright= kn-copyright= en-aut-name=LiuYulong en-aut-sei=Liu en-aut-mei=Yulong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=YuYiyang en-aut-sei=Yu en-aut-mei=Yiyang kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=WangWu en-aut-sei=Wang en-aut-mei=Wu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=LiHuazhi en-aut-sei=Li en-aut-mei=Huazhi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=WuQiong en-aut-sei=Wu en-aut-mei=Qiong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= affil-num=1 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=2 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=3 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=5 en-affil=The School of Psychological and Cognitive Sciences, Peking University kn-affil= affil-num=6 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=8 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=9 en-affil=Department of Psychology, Suzhou University of Science and Technology, kn-affil= affil-num=10 en-affil=Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences kn-affil= en-keyword=haptic angle discrimination kn-keyword=haptic angle discrimination en-keyword=angle sort kn-keyword=angle sort en-keyword=discrimination threshold kn-keyword=discrimination threshold en-keyword=haptic device kn-keyword=haptic device en-keyword=human haptics kn-keyword=human haptics END start-ver=1.4 cd-journal=joma no-vol=231 cd-vols= no-issue= article-no= start-page=117754 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2021 dt-pub=202105 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Different activation signatures in the primary sensorimotor and higher-level regions for haptic three-dimensional curved surface exploration en-subtitle= kn-subtitle= en-abstract= kn-abstract=Haptic object perception begins with continuous exploratory contact, and the human brain needs to accumulate sensory information continuously over time. However, it is still unclear how the primary sensorimotor cortex (PSC) interacts with these higher-level regions during haptic exploration over time. This functional magnetic resonance imaging (fMRI) study investigates time-dependent haptic object processing by examining brain activity during haptic 3D curve and roughness estimations. For this experiment, we designed sixteen haptic stimuli (4 kinds of curves x 4 varieties of roughness) for the haptic curve and roughness estimation tasks. Twenty participants were asked to move their right index and middle fingers along the surface twice and to estimate one of the two features -roughness or curvature -depending on the task instruction. We found that the brain activity in several higher-level regions (e.g., the bilateral posterior parietal cortex) linearly increased as the number of curves increased during the haptic exploration phase. Surprisingly, we found that the contralateral PSC was parametrically modulated by the number of curves only during the late exploration phase but not during the early exploration phase. In contrast, we found no similar parametric modulation activity patterns during the haptic roughness estimation task in either the contralateral PSC or in higher-level regions. Thus, our findings suggest that haptic 3D object perception is processed across the cortical hierarchy, whereas the contralateral PSC interacts with other higher-level regions across time in a manner that is dependent upon the features of the object. en-copyright= kn-copyright= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=MolfesePeter J. en-aut-sei=Molfese en-aut-mei=Peter J. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=HandwerkerDaniel A. en-aut-sei=Handwerker en-aut-mei=Daniel A. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=ChenGang en-aut-sei=Chen en-aut-mei=Gang kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=TaylorPaul A. en-aut-sei=Taylor en-aut-mei=Paul A. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=BandettiniPeter A. en-aut-sei=Bandettini en-aut-mei=Peter A. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= affil-num=1 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=2 en-affil=Section on Functional Imaging Methods, National Institute of Mental Health kn-affil= affil-num=3 en-affil=Section on Functional Imaging Methods, National Institute of Mental Health kn-affil= affil-num=4 en-affil=Section on Functional Imaging Methods, National Institute of Mental Health kn-affil= affil-num=5 en-affil=Scientific and Statistical Computational Core, National Institute of Mental Health kn-affil= affil-num=6 en-affil=Scientific and Statistical Computational Core, National Institute of Mental Health kn-affil= affil-num=7 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=8 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=9 en-affil=Section on Functional Imaging Methods, National Institute of Mental Health kn-affil= en-keyword=Haptic object perception kn-keyword=Haptic object perception en-keyword=Primary somatosensory cortex kn-keyword=Primary somatosensory cortex en-keyword=Primary motor cortex kn-keyword=Primary motor cortex en-keyword=fMRI kn-keyword=fMRI en-keyword=Parametric modulation kn-keyword=Parametric modulation en-keyword=Cortical hierarchy kn-keyword=Cortical hierarchy END start-ver=1.4 cd-journal=joma no-vol=11 cd-vols= no-issue=6 article-no= start-page=2041669520981096 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2020 dt-pub=20201231 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Semantic Congruency Modulates the Effect of Attentional Load on the Audiovisual Integration of Animate Images and Sounds en-subtitle= kn-subtitle= en-abstract= kn-abstract=Attentional processes play a complex and multifaceted role in the integration of input from different sensory modalities. However, whether increased attentional load disrupts the audiovisual (AV) integration of common objects that involve semantic content remains unclear. Furthermore, knowledge regarding how semantic congruency interacts with attentional load to influence the AV integration of common objects is limited. We investigated these questions by examining AV integration under various attentional-load conditions. AV integration was assessed by adopting an animal identification task using unisensory (animal images and sounds) and AV stimuli (semantically congruent AV objects and semantically incongruent AV objects), while attentional load was manipulated by using a rapid serial visual presentation task. Our results indicate that attentional load did not attenuate the integration of semantically congruent AV objects. However, semantically incongruent animal sounds and images were not integrated (as there was no multisensory facilitation), and the interference effect produced by the semantically incongruent AV objects was reduced by increased attentional-load manipulations. These findings highlight the critical role of semantic congruency in modulating the effect of attentional load on the AV integration of common objects. en-copyright= kn-copyright= en-aut-name=LiQingqing en-aut-sei=Li en-aut-mei=Qingqing kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=WuQiong en-aut-sei=Wu en-aut-mei=Qiong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YuYiyang en-aut-sei=Yu en-aut-mei=Yiyang kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=WuFengxia en-aut-sei=Wu en-aut-mei=Fengxia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= affil-num=1 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=2 en-affil=Department of Psychology, Suzhou University of Science and Technology kn-affil= affil-num=3 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=4 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=5 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=8 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=audiovisual integration kn-keyword=audiovisual integration en-keyword=common object kn-keyword=common object en-keyword=attentional load kn-keyword=attentional load en-keyword=semantic congruency kn-keyword=semantic congruency en-keyword=dual-task paradigm kn-keyword=dual-task paradigm END start-ver=1.4 cd-journal=joma no-vol=14 cd-vols= no-issue= article-no= start-page=571369 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2021 dt-pub=20210127 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Stimulus Intervals Modulate the Balance of Brain Activity in the Human Primary Somatosensory Cortex: An ERP Study en-subtitle= kn-subtitle= en-abstract= kn-abstract=Neuronal excitation and inhibition occur in the brain at the same time, and brain activation reflects changes in the sum of excitation and inhibition. This principle has been well-established in lower-level sensory systems, including vision and touch, based on animal studies. However, it is unclear how the somatosensory system processes the balance between excitation and inhibition. In the present ERP study, we modified the traditional spatial attention paradigm by adding double stimuli presentations at short intervals (i.e., 10, 30, and 100 ms). Seventeen subjects participated in the experiment. Five types of stimulation were used in the experiment: a single stimulus (one raised pin for 40 ms), standard stimulus (eight pins for 40 ms), and double stimuli presented at intervals of 10, 30, and 100 ms. The subjects were asked to attend to a particular finger and detect whether the standard stimulus was presented to that finger. The results showed a clear attention-related ERP component in the single stimulus condition, but the suppression components associated with the three interval conditions seemed to be dominant in somatosensory areas. In particular, we found the strongest suppression effect in the ISI-30 condition (interval of 30 ms) and that the suppression and enhancement effects seemed to be counterbalanced in both the ISI-10 and ISI-100 conditions (intervals of 10 and 100 ms, respectively). This type of processing may allow humans to easily discriminate between multiple stimuli on the same body part. en-copyright= kn-copyright= en-aut-name=LiuYang en-aut-sei=Liu en-aut-mei=Yang kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=DongBo en-aut-sei=Dong en-aut-mei=Bo kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=WuQiong en-aut-sei=Wu en-aut-mei=Qiong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=ZhangMing en-aut-sei=Zhang en-aut-mei=Ming kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil=Department of Psychology, Suzhou University of Science and Technology kn-affil= affil-num=2 en-affil=Department of Psychology, Suzhou University of Science and Technology kn-affil= affil-num=3 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=4 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=5 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=6 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=7 en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University kn-affil= en-keyword=traditional spatial attention paradigm kn-keyword=traditional spatial attention paradigm en-keyword=ERP kn-keyword=ERP en-keyword=interstimulus interval kn-keyword=interstimulus interval en-keyword=enhancement and suppression kn-keyword=enhancement and suppression en-keyword=primary somatosensory cortex kn-keyword=primary somatosensory cortex END start-ver=1.4 cd-journal=joma no-vol=11 cd-vols= no-issue=3 article-no= start-page=e02033 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2021 dt-pub=20210119 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Functional heterogeneity in the left lateral posterior parietal cortex during visual and haptic crossmodal dot-surface matching en-subtitle= kn-subtitle= en-abstract= kn-abstract=Background
Vision and touch are thought to contribute information to object perception in an independent but complementary manner. The left lateral posterior parietal cortex (LPPC) has long been associated with multisensory information processing, and it plays an important role in visual and haptic crossmodal information retrieval. However, it remains unclear how LPPC subregions are involved in visuo]haptic crossmodal retrieval processing.
Methods
In the present study, we used an fMRI experiment with a crossmodal delayed match]to]sample paradigm to reveal the functional role of LPPC subregions related to unimodal and crossmodal dot]surface retrieval.
Results
The visual]to]haptic condition enhanced the activity of the left inferior parietal lobule relative to the haptic unimodal condition, whereas the inverse condition enhanced the activity of the left superior parietal lobule. By contrast, activation of the left intraparietal sulcus did not differ significantly between the crossmodal and unimodal conditions. Seed]based resting connectivity analysis revealed that these three left LPPC subregions engaged distinct networks, confirming their different functions in crossmodal retrieval processing.
Conclusion
Taken together, the findings suggest that functional heterogeneity of the left LPPC during visuo]haptic crossmodal dot]surface retrieval processing reflects that the left LPPC does not simply contribute to retrieval of past information; rather, each subregion has a specific functional role in resolving different task requirements. en-copyright= kn-copyright= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YuYinghua en-aut-sei=Yu en-aut-mei=Yinghua kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=ShigemasuHiroaki en-aut-sei=Shigemasu en-aut-mei=Hiroaki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=KadotaHiroshi en-aut-sei=Kadota en-aut-mei=Hiroshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=NakaharaKiyoshi en-aut-sei=Nakahara en-aut-mei=Kiyoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=KochiyamaTakanori en-aut-sei=Kochiyama en-aut-mei=Takanori kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= affil-num=1 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=3 en-affil=Kochi University of Technology kn-affil= affil-num=4 en-affil=Kochi University of Technology kn-affil= affil-num=5 en-affil=Kochi University of Technology kn-affil= affil-num=6 en-affil=ATR Brain Activity Imaging Center kn-affil= affil-num=7 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=8 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=crossmodal processing kn-keyword=crossmodal processing en-keyword=fMRI kn-keyword=fMRI en-keyword=haptic dot-surface matching kn-keyword=haptic dot-surface matching en-keyword=lateral posterior parietal cortex kn-keyword=lateral posterior parietal cortex en-keyword=memory retrieval kn-keyword=memory retrieval END start-ver=1.4 cd-journal=joma no-vol=122 cd-vols= no-issue=5 article-no= start-page=1918 end-page=1927 dt-received= dt-revised= dt-accepted= dt-pub-year=2019 dt-pub=20191025 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Tactile angle discriminability improvement: roles of training time intervals and different types of training tasks en-subtitle= kn-subtitle= en-abstract= kn-abstract=Perceptual learning, which is not limited to sensory modalities such as vision and touch, emerges within a training session and between training sessions and is accompanied by the remodeling of neural connections in the cortex. However, limited knowledge exists regarding perceptual learning between training sessions. Although tactile studies have paid attention to between-session learning effects, there have been few studies asking fundamental questions regarding whether the time interval between training sessions affects tactile perceptual learning and generalization across tactile tasks. We investigated the effects of different training time intervals on the consecutive performance of a tactile angle discrimination (AD) task and a tactile orientation discrimination (OD) task training on tactile angle discriminability. The results indicated that in the short-interval training group, AD task performance significantly improved in the early stage of learning and nearly plateaued in the later stage, whereas in the long-interval training group, significant improvement was delayed and then also nearly plateaued in the later stage; additionally, improved OD task performance resulted in improved AD task performance. These findings suggest that training time interval affects the early stage of learning but not the later stage and that generalization occurs between different types of tactile tasks. en-copyright= kn-copyright= en-aut-name=WangWu en-aut-sei=Wang en-aut-mei=Wu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YangJiajia en-aut-sei=Yang en-aut-mei=Jiajia kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=WuQiong en-aut-sei=Wu en-aut-mei=Qiong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=YuJiabin en-aut-sei=Yu en-aut-mei=Jiabin kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TakahashiSatoshi en-aut-sei=Takahashi en-aut-mei=Satoshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=EjimaYoshimichi en-aut-sei=Ejima en-aut-mei=Yoshimichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=WuJinglong en-aut-sei=Wu en-aut-mei=Jinglong kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil=Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama kn-affil= affil-num=3 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=4 en-affil= Graduate School of Natural Science and Technology, Okayama University kn-affil= affil-num=5 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=6 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= affil-num=7 en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University kn-affil= en-keyword=between-session learning kn-keyword=between-session learning en-keyword=generalization kn-keyword=generalization en-keyword=tactile angle discriminability kn-keyword=tactile angle discriminability en-keyword=training time interval kn-keyword=training time interval END