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Статті в журналах з теми "A task"

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Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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1

PATTHEY-CHAVEZ, G. GENEVIEVE, and LINDSAY CLARE. "Task, Talk, and Text." Written Communication 13, no. 4 (October 1996): 515–63. http://dx.doi.org/10.1177/0741088396013004003.

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2

Meloth, Michael S., and Paul D. Deering. "Task Talk and Task Awareness Under Different Cooperative Learning Conditions." American Educational Research Journal 31, no. 1 (March 1994): 138–65. http://dx.doi.org/10.3102/00028312031001138.

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3

Philipp, Andrea M., and Iring Koch. "Task inhibition and task repetition in task switching." European Journal of Cognitive Psychology 18, no. 4 (July 2006): 624–39. http://dx.doi.org/10.1080/09541440500423269.

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4

Bai, Xilian, George J. Bugg, Susan L. Greenwood, Jocelyn D. Glazier, Colin P. Sibley, Philip N. Baker, Michael J. Taggart, and Gregor K. Fyfe. "Expression of TASK and TREK, two-pore domain K+ channels, in human myometrium." Reproduction 129, no. 4 (April 2005): 525–30. http://dx.doi.org/10.1530/rep.1.00442.

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Анотація:

Two-pore domain K+channels are an emerging family of K+channels that may contribute to setting membrane potential in both electrically excitable and non-excitable cells and, as such, influence cellular function. The human uteroplacental unit contains both excitable (e.g. myometrial) and non-excitable cells, whose function depends upon the activity of K+channels. We have therefore investigated the expression of two members of this family, TWIK (two-pore domain weak inward rectifying K+channel)-related acid-sensitive K+channel (TASK) and TWIK-related K+channel (TREK) in human myometrium. Using RT-PCR the mRNA expression of TASK and TREK isoforms was examined in myometrial tissue from pregnant women. mRNAs encoding TASK1, 4 and 5 and TREK1 were detected whereas weak or no signals were observed for TASK2, TASK3 and TREK2. Western blotting for TASK1 gave two bands of approximately 44 and 65 kDa, whereas TREK1 gave bands of approximately 59 and 90 kDa in myometrium from pregnant women. TASK1 and TREK1 immunofluorescence was prominent in intracellular and plasmalemmal locations within myometrial cells. Therefore, we conclude that the human myometrium is a site of expression for the two-pore domain K+channel proteins TASK1 and TREK1.

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5

Theodorakis, Yannis, Stiliani Chroni, Kostas Laparidis, Vagelis Bebetsos, and Irini Douma. "Self-Talk in a Basketball-Shooting Task." Perceptual and Motor Skills 92, no. 1 (February 2001): 309–15. http://dx.doi.org/10.2466/pms.2001.92.1.309.

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Анотація:

This study examined the effectiveness of two different types of self-talk on the performance of a basketball-shooting task. 60 physical education and sports sciences students were organized into one control and two treatment groups which used self-talk. During the experiment, the control group performed with the general instructions, whereas the self-talk groups used the cue-words “relax” and “fast,” respectively. Analysis showed that only the participants of the self-talk group who used the word “relax” improved their performance significantly as compared to the other two groups. It appears that self-talk can positively affect performance if its content is appropriate for the task performed.

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6

Brice, Lynn. "Deliberative Discourse Enacted: Task, Text, and Talk." Theory & Research in Social Education 30, no. 1 (January 2002): 66–87. http://dx.doi.org/10.1080/00933104.2002.10473179.

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7

Ortega-Sáenz, Patricia, Konstantin L. Levitsky, María T. Marcos-Almaraz, Victoria Bonilla-Henao, Alberto Pascual, and José López-Barneo. "Carotid body chemosensory responses in mice deficient of TASK channels." Journal of General Physiology 135, no. 4 (March 29, 2010): 379–92. http://dx.doi.org/10.1085/jgp.200910302.

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Анотація:

Background K+ channels of the TASK family are believed to participate in sensory transduction by chemoreceptor (glomus) cells of the carotid body (CB). However, studies on the systemic CB-mediated ventilatory response to hypoxia and hypercapnia in TASK1- and/or TASK3-deficient mice have yielded conflicting results. We have characterized the glomus cell phenotype of TASK-null mice and studied the responses of individual cells to hypoxia and other chemical stimuli. CB morphology and glomus cell size were normal in wild-type as well as in TASK1−/− or double TASK1/3−/− mice. Patch-clamped TASK1/3-null glomus cells had significantly higher membrane resistance and less hyperpolarized resting potential than their wild-type counterpart. These electrical parameters were practically normal in TASK1−/− cells. Sensitivity of background currents to changes of extracellular pH was drastically diminished in TASK1/3-null cells. In contrast with these observations, responsiveness to hypoxia or hypercapnia of either TASK1−/− or double TASK1/3−/− cells, as estimated by the amperometric measurement of catecholamine release, was apparently normal. TASK1/3 knockout cells showed an enhanced secretory rate in basal (normoxic) conditions compatible with their increased excitability. Responsiveness to hypoxia of TASK1/3-null cells was maintained after pharmacological blockade of maxi-K+ channels. These data in the TASK-null mouse model indicate that TASK3 channels contribute to the background K+ current in glomus cells and to their sensitivity to external pH. They also suggest that, although TASK1 channels might be dispensable for O2/CO2 sensing in mouse CB cells, TASK3 channels (or TASK1/3 heteromers) could mediate hypoxic depolarization of normal glomus cells. The ability of TASK1/3−/− glomus cells to maintain a powerful response to hypoxia even after blockade of maxi-K+ channels, suggests the existence of multiple sensor and/or effector mechanisms, which could confer upon the cells a high adaptability to maintain their chemosensory function.

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8

MORI, Kazuo. "Analog Task and Digital Task." Japanese journal of ergonomics 29, Supplement (1993): 30–31. http://dx.doi.org/10.5100/jje.29.supplement_30.

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9

You, Wanqing, Kai Qian, and Ying Qian. "Hierarchical Queue-Based Task Scheduling." Journal of Advances in Computer Networks 2, no. 2 (2014): 138–41. http://dx.doi.org/10.7763/jacn.2014.v2.98.

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10

Peck, Gail J. "Task." English Journal 90, no. 6 (July 2001): 117. http://dx.doi.org/10.2307/822072.

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11

Rubdy, R. "Task." ELT Journal 52, no. 3 (July 1, 1998): 264–65. http://dx.doi.org/10.1093/elt/52.3.264.

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12

Moser, J., J. Harris, and J. Carle. "Improving teacher talk through a task-based approach." ELT Journal 66, no. 1 (April 15, 2011): 81–88. http://dx.doi.org/10.1093/elt/ccr016.

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13

Dutta, Addie, Richard Schweickert, Sangsup Choi, and Robert W. Proctor. "Cross-task cross talk in memory and perception." Acta Psychologica 90, no. 1-3 (November 1995): 49–62. http://dx.doi.org/10.1016/0001-6918(95)00021-l.

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14

Koch, Iring. "Sequential task predictability in task switching." Psychonomic Bulletin & Review 12, no. 1 (February 2005): 107–12. http://dx.doi.org/10.3758/bf03196354.

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15

Hsieh, Shulan. "Task Shifting in Dual-Task Settings." Perceptual and Motor Skills 94, no. 2 (April 2002): 407–14. http://dx.doi.org/10.2466/pms.2002.94.2.407.

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Анотація:

When a participant is asked to perform two tasks in alternation, their mean reaction times were slower than when they performed the same tasks repeatedly. This “shift cost” has been hypothesized to reflect the time course of a single central executive that exerts control over thought and actions in task shifting. This study attempted to test this hypothesis using dual-task methodology. Participants were asked to carry out both a subtracting task and a rule-shifting task simultaneously. The main interest is to examine the effect of dual task on the magnitude of shift cost. The results showed that performing a concurrent subtracting task significantly interfered with the shifting operation resulting in over-additive time cost for shifting of task set. We further suggest that such interference may arise from the competition between activations of various rules.

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16

Gade, Miriam, and Iring Koch. "Cue–task associations in task switching." Quarterly Journal of Experimental Psychology 60, no. 6 (June 2007): 762–69. http://dx.doi.org/10.1080/17470210701268005.

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Анотація:

Cognitive flexibility can be studied using the task-switching paradigm. This paradigm requires subjects to adapt behaviour to changing contexts as indicated by a cue. In our study, we addressed the question of how cue-based implementation of mental “task sets” occurs. We assumed that cues build up associations to the tasks that they indicate. These associations lead to retrieval of the associated task set once the cue shows up again. In three experiments, we tested this assumption using a negative transfer paradigm. First participants were exposed to one cue–task mapping. After a training phase, the cue–task mapping changed in either of two ways. Whereas one group of participants got new cues, the other experienced a reversal of the learnt cue–task mapping. Our results show that participants build up cue–task associations and that these formerly learnt associations can hamper the implementation of new cue–task mappings (particular with mapping reversal). Prolonged preparation time decreased the cost of changing the cue–task mapping but did not change the overall pattern of results.

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17

Dreisbach, Gesine, Thomas Goschke, and Hilde Haider. "Implicit task sets in task switching?" Journal of Experimental Psychology: Learning, Memory, and Cognition 32, no. 6 (2006): 1221–33. http://dx.doi.org/10.1037/0278-7393.32.6.1221.

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18

Braverman, Ami, and Nachshon Meiran. "Task conflict effect in task switching." Psychological Research 74, no. 6 (March 23, 2010): 568–78. http://dx.doi.org/10.1007/s00426-010-0279-2.

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19

JONO, YASUTOMO, SHUSAKU KANAI, TAKUYA GOTO, RYO HARADA, YUTA HUJITAKA, YASUSHI DANIIDE, MSMASAKI HASEGAWA, and AKIRA OTSUKA. "Effect of dual task interference between motor task and cognitive task." Japanese Journal of Health Promotion and Physical Therapy 3, no. 2 (2013): 47–51. http://dx.doi.org/10.9759/hppt.3.47.

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20

Sohn, Myeong-Ho, and John R. Anderson. "Task preparation and task repetition: Two-component model of task switching." Journal of Experimental Psychology: General 130, no. 4 (2001): 764–78. http://dx.doi.org/10.1037/0096-3445.130.4.764.

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21

Battiste, Vernol. "Part-Task vs. Whole-Task Training on a Supervisory Control Task." Proceedings of the Human Factors Society Annual Meeting 31, no. 12 (September 1987): 1365–69. http://dx.doi.org/10.1177/154193128703101214.

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Анотація:

The primary aim of training is to improve performance. Part-task training may be the more economical method, because full mission training simulators often cost more than the vehicles they simulate. However, the skills learned may not transfer effectively to performance of the complete task. This study investigated the effectiveness of Part-task training on the psychomotor portion of a supervisory control simulation. Twelve subjects were divided into Part-task and Whole-task groups and told to perform the task as quickly as possible. Part-task training was provided with the cursor-control device (a magnetic pen and pad), prior to transition to the Whole-task. Some distinct advantages of the Part-task training were: (1) The Part-task group learned the task faster; (2) The Part-task group's scores and task times continued to improve, while the Whole-task group's did not; and (3) A significant increase in speed of response for the Part-task group and almost no improvement in speed for the Whole-task group.

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22

Yonge, Charlotte, and Andrew Stables. "'I am It the Clown': Problematising the Distinction Between 'Off Task' and 'On Task' Classroom Talk." Language and Education 12, no. 1 (March 1998): 55–70. http://dx.doi.org/10.1080/09500789808666739.

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23

Chao, Naipeng, Cheng Wang, and Yi Li. "Task Switching in Online Multitasking Behaviors." Journal of Advances in Computer Networks 4, no. 1 (2016): 75–79. http://dx.doi.org/10.18178/jacn.2016.4.1.207.

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24

Meuth, Sven G., Tatyana Kanyshkova, Patrick Meuth, Peter Landgraf, Thomas Munsch, Andreas Ludwig, Franz Hofmann, Hans-Christian Pape, and Thomas Budde. "Membrane Resting Potential of Thalamocortical Relay Neurons Is Shaped by the Interaction Among TASK3 and HCN2 Channels." Journal of Neurophysiology 96, no. 3 (September 2006): 1517–29. http://dx.doi.org/10.1152/jn.01212.2005.

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Анотація:

By combining molecular biological, electrophysiological, immunological, and computer modeling techniques, we here demonstrate a counterbalancing contribution of TASK channels, underlying hyperpolarizing K+ leak currents, and HCN channels, underlying depolarizing Ih, to the resting membrane potential of thalamocortical relay (TC) neurons. RT-PCR experiments revealed the expression of TASK1, TASK3, and HCN1–4. Quantitative determination of mRNA expression levels and immunocytochemical staining demonstrated that TASK3 and HCN2 channels represent the dominant thalamic isoforms and are coexpressed in TC neurons. Extracellular acidification, a standard procedure to inhibit TASK channels, blocked a TASK current masked by additional action on HCN channels. Only in the presence of the HCN blocker ZD7288 was the pH-sensitive component typical for a TASK current, i.e., outward rectification and current reversal at the K+ equilibrium potential. In a similar way extracellular acidification was able to shift the activity pattern of TC neurons from burst to tonic firing only during block of Ih or genetic knock out of HCN channels. A single compartmental computer model of TC neurons simulated the counterbalancing influence of TASK and HCN on the resting membrane potential. It is concluded that TASK3 and HCN2 channels stabilize the membrane potential by a mutual functional interaction, that the most efficient way to regulate the membrane potential of TC neurons is the converse modulation of TASK and HCN channels, and that TC neurons are potentially more resistant to insults accompanied by extracellular pH shifts in comparison to other CNS regions.

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25

Gargroetzi, Emma C., Rosa D. Chavez, Jen Munson, Jennifer M. Langer-Osuna, and Kimiko E. Lange. "Can off-task be on-track?" Phi Delta Kappan 100, no. 8 (April 29, 2019): 62–66. http://dx.doi.org/10.1177/0031721719846892.

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Анотація:

Collaborative learning requires a lot of talk. Although not all student talk may be related to the task at hand, some off-task talk is actually productive, as it enables students to negotiate how they will work together, gain attention of fellow group members, and draw others into joining the work. Emma C. Gargroetzi, Rosa D. Chavez, Jen Munson, Jennifer M. Langer-Osuna, and Kimiko E. Lange observed 4th-grade students working in groups on math exercises and saw multiple seemingly off-task conversations that, in fact, ended up bringing the group together. For example, students who were excluded used off-task talk to get others in the group to pay attention to them. Groups also used off-task talk to ensure that everyone in the group had a role in the solution. The authors offer guidelines for determining when to intervene when students engage in off-task talk.

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26

ISHII, Kentaro, and Michita IMAI. "Collaborative Task Casting: A Task Selection Technique for Multi-Task Autonomous Robots." SICE Journal of Control, Measurement, and System Integration 6, no. 2 (2013): 157–65. http://dx.doi.org/10.9746/jcmsi.6.157.

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27

Hotama, Christianus Frederick, Hanung Adi Nugroho, Indah Soesanti, and Widhia KZ Oktoeberza. "Interference effect during word-task and colour-task in incongruent stroop-task." Communications in Science and Technology 2, no. 2 (December 2017): 47–52. http://dx.doi.org/10.21924/cst.2.2.2017.59.

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28

Aykin, Nuray, and Turgut Aykin. "Complex Task Performance under Speed-Accuracy Tradeoff: Single Task versus Dual Task." Proceedings of the Human Factors Society Annual Meeting 31, no. 2 (September 1987): 161–65. http://dx.doi.org/10.1177/154193128703100205.

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Анотація:

The effects of speed and accuracy conditions on single and double stimulation task performance were investigated and compared along with the effects of the stimulus complexity and interstimulus interval. The proportion of error responses increased when the complexity of the stimuli increased under speed and accuracy conditions in both single and double stimulation tasks. There was, however, no trend in the proportion of error responses as a function of ISI under speed and accuracy emphases.

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29

BRYCK, R. L., and U. MAYR. "Task selection cost asymmetry without task switching." Psychonomic Bulletin & Review 15, no. 1 (February 1, 2008): 128–34. http://dx.doi.org/10.3758/pbr.15.1.128.

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30

Schneider, Darryl W. "Task-set inhibition in chunked task sequences." Psychonomic Bulletin & Review 14, no. 5 (October 2007): 970–76. http://dx.doi.org/10.3758/bf03194130.

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31

Ezercan Kayır, H. Hilal. "EXPERIENCED TASK-BASED MULTI ROBOT TASK ALLOCATION." ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering 18, no. 4 (October 31, 2017): 864–75. http://dx.doi.org/10.18038/aubtda.340101.

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32

Koch, Iring, Andrea M. Philipp, and Miriam Gade. "Chunking in Task Sequences Modulates Task Inhibition." Psychological Science 17, no. 4 (April 2006): 346–50. http://dx.doi.org/10.1111/j.1467-9280.2006.01709.x.

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33

Fath, Janet L., and Randolph G. Bias. "Taking the “Task” Out of Task Analysis." Proceedings of the Human Factors Society Annual Meeting 36, no. 4 (October 1992): 379–83. http://dx.doi.org/10.1177/154193129203600425.

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Анотація:

Task analysis is a well-accepted component of user-centered design. It is often left out of the design process, however, due to a lack of practical methods, the difficulty in predicting the amount of resource required to perform it, and a short supply of people with the appropriate skills. A solution to these problems is a structured set of activities that compose a task analysis and relate to the overall design process. The general framework into which these activities fit has three phases: Data Collection, Data Analysis, and Design. During the Data Collection phase, user and task data are collected and validated. The Data Analysis phase requires analyzing the user and task data in a way that results in suggestions for information representation, navigation, terminology, and consistency. Finally, the Design phase requires translating the suggestions from the Data Analysis phase into a viable product. A prototype task analysis workbook was developed to assess the feasibility of the structured approach to task analysis. The workbook includes tools for data collection, data analysis, and design, as well as instructions for how to use the tools. Over a period of two years, the workbook was used in five different development projects. A representative from each group was interviewed to determine how the workbook was used and which parts were most useful. Results of the interviews indicate that the workbook approach has merit.

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34

Liu, Jingjing, Jacek Gwizdka, Chang Liu, and Nicholas J. Belkin. "Predicting task difficulty for different task types." Proceedings of the American Society for Information Science and Technology 47, no. 1 (November 2010): 1–10. http://dx.doi.org/10.1002/meet.14504701173.

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35

Seitz, Aaron R., and Takeo Watanabe. "Is Task-Irrelevant Learning Really Task-Irrelevant?" PLoS ONE 3, no. 11 (November 24, 2008): e3792. http://dx.doi.org/10.1371/journal.pone.0003792.

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36

Mizoguchi, R. "Task analysis interview based on task ontology." Expert Systems with Applications 9, no. 1 (1995): 15–25. http://dx.doi.org/10.1016/0957-4174(94)00044-v.

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37

Zeuner, K. E., and J. Volkmann. "How task specific is task specific dystonia?" Clinical Neurophysiology 125, no. 4 (April 2014): 655–56. http://dx.doi.org/10.1016/j.clinph.2013.10.007.

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38

Thornborrow, Joanna. "The Organization of Primary School Children's On-Task and Off-Task Talk in a Small Group Setting." Research on Language & Social Interaction 36, no. 1 (January 2003): 7–32. http://dx.doi.org/10.1207/s15327973rlsi3601_2.

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39

Kitamura, Takuya, and Tsukasa Hirashima. "Difference in Task Difficulty Level Based on Task Order of Structuring Task of Logic Structure and Segmentation Task." Transactions of the Japanese Society for Artificial Intelligence 34, no. 5 (September 1, 2019): C—I73_1–5. http://dx.doi.org/10.1527/tjsai.c-i73.

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40

Bonnin, Camille A., Daniel Gaonac'h, and Cédric A. Bouquet. "Adjustments of task-set control processes: Effect of task switch frequency on task-mixing and task-switching costs." Journal of Cognitive Psychology 23, no. 8 (December 2011): 985–97. http://dx.doi.org/10.1080/20445911.2011.594435.

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41

Park, Sung Jin, Yang Yu, Brittany Wagner, William C. Valinsky, Alan E. Lomax, and Michael J. Beyak. "Increased TASK channel-mediated currents underlie high-fat diet induced vagal afferent dysfunction." American Journal of Physiology-Gastrointestinal and Liver Physiology 315, no. 4 (October 1, 2018): G592—G601. http://dx.doi.org/10.1152/ajpgi.00335.2017.

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Анотація:

We have previously demonstrated that satiety sensing vagal afferent neurons are less responsive to meal-related stimuli in obesity because of reduced electrical excitability. As leak K+ currents are key determinants of membrane excitability, we hypothesized that leak K+ currents are increased in vagal afferents during obesity. Diet-induced obesity was induced by feeding C57Bl/6J mice a high-fat diet (HFF) (60% energy from fat) for 8–10 wk. In vitro extracellular recordings were performed on jejunal afferent nerves. Whole cell patch-clamp recordings were performed on mouse nodose ganglion neurons. Leak K+ currents were isolated using ion substitution and pharmacological blockers. mRNA for TWIK-related acid-sensitive K+ (TASK) subunits was measured using quantitative real-time PCR. Intestinal afferent responses to nutrient (oleate) and non-nutrient (ATP) stimuli were significantly decreased in HFF mice. Voltage clamp experiments revealed the presence of a voltage-insensitive resting potassium conductance that was increased by external alkaline pH and halothane, known properties of TASK currents. In HFF neurons, leak K+ current was approximately doubled and was reduced by TASK1 and TASK3 inhibitors. The halothane sensitive current was similarly increased. Quantitative PCR revealed the presence of mRNA encoding TASK1 (KCNK3) and TASK3 (KCNK9) channels in nodose neurons. TASK3 transcript was significantly increased in HFF mice. The reduction in vagal afferent excitability in obesity is due in part to an increase of resting (leak) K+ conductance. TASK channels may account for the impairment of satiety signaling in diet-induced obesity and thus is a therapeutic target for obesity treatment. NEW & NOTEWORTHY This study characterized the electrophysiological properties and gene expression of the TWIK-related acid-sensitive K+ (TASK) channel in vagal afferent neurons. TASK conductance was increased and contributed to decreased excitability in diet-induced obesity. TASK channels may account for the impairment of satiety signaling in diet-induced obesity and thus is a promising therapeutic target.

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42

Arthur, Kevin W., Kellogg S. Booth, and Colin Ware. "Evaluating 3D task performance for fish tank virtual worlds." ACM Transactions on Information Systems 11, no. 3 (July 1993): 239–65. http://dx.doi.org/10.1145/159161.155359.

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Westgate, David, and Maureen Hughes. "Identifying 'Quality' in Classroom Talk: An Enduring Research Task." Language and Education 11, no. 2 (May 1997): 125–39. http://dx.doi.org/10.1080/09500789708666723.

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Xuan, Qi, Premkumar Devanbu, and Vladimir Filkov. "Converging Work-Talk Patterns in Online Task-Oriented Communities." PLOS ONE 11, no. 5 (May 3, 2016): e0154324. http://dx.doi.org/10.1371/journal.pone.0154324.

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Arrington, Catherine M., and Kaitlin M. Reiman. "Task frequency influences stimulus-driven effects on task selection during voluntary task switching." Psychonomic Bulletin & Review 22, no. 4 (June 24, 2015): 1089–95. http://dx.doi.org/10.3758/s13423-014-0777-0.

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Meiran, Nachshon, and Alex Daichman. "Advance task preparation reduces task error rate in the cuing task-switching paradigm." Memory & Cognition 33, no. 7 (October 2005): 1272–88. http://dx.doi.org/10.3758/bf03193228.

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Weaver, Starla M., and Catherine M. Arrington. "The effect of hierarchical task representations on task selection in voluntary task switching." Journal of Experimental Psychology: Learning, Memory, and Cognition 39, no. 4 (2013): 1128–41. http://dx.doi.org/10.1037/a0031677.

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Di, Xin, and Bharat B. Biswal. "Toward Task Connectomics: Examining Whole-Brain Task Modulated Connectivity in Different Task Domains." Cerebral Cortex 29, no. 4 (June 21, 2018): 1572–83. http://dx.doi.org/10.1093/cercor/bhy055.

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Анотація:

Abstract Human brain anatomical and resting-state functional connectivity have been comprehensively portrayed using MRI, which are termed anatomical and functional connectomes. A systematic examination of tasks modulated whole brain functional connectivity, which we term as task connectome, is still lacking. We analyzed 6 block-designed and 1 event-related designed functional MRI data, and examined whole-brain task modulated connectivity in various task domains, including emotion, reward, language, relation, social cognition, working memory, and inhibition. By using psychophysiological interaction between pairs of regions from the whole brain, we identified statistically significant task modulated connectivity in 4 tasks between their experimental and respective control conditions. Task modulated connectivity was found not only between regions that were activated during the task but also regions that were not activated or deactivated, suggesting a broader involvement of brain regions in a task than indicated by simple regional activations. Decreased functional connectivity was observed in all the 4 tasks and sometimes reduced connectivity was even between regions that were both activated during the task. This suggests that brain regions that are activated together do not necessarily work together. The current study demonstrates the comprehensive task connectomes of 4 tasks, and suggested complex relationships between regional activations and connectivity changes.

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