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      Resting-state neural activity and connectivity associated with subjective happiness

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          Abstract

          The majority of people throughout the world rate subjective happiness as the top of the important thing in life. A recent structural neuroimaging study exploring neurocognitive mechanisms underlying subjective happiness has suggested that the gray matter volume of the right precuneus is associated with Subjective Happiness Scale (SHS) scores. However, how the neural activity in this region, as well as the neural functional coupling between this and other regions, could be related to SHS scores remains unclear. To investigate these issues, we performed resting-state functional magnetic resonance imaging and analyzed the fractional amplitude of low-frequency fluctuation (fALFF) in participants, whose subjective happiness was evaluated using the SHS. Lower fALFF values in the right precuneus were associated with higher SHS scores. Furthermore, functional connectivity and spectral dynamic causal modeling analyses showed that both functional and effective connectivity of the right precuneus with the right amygdala were positively associated with SHS scores. These findings, together with other evidence on the information-processing functions of these brain regions, suggest the possibility that subjective happiness is associated with a reduction in self-referential mental processes, which are well integrated with emotional processing.

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          Searching for a baseline: functional imaging and the resting human brain.

          Functional brain imaging in humans has revealed task-specific increases in brain activity that are associated with various mental activities. In the same studies, mysterious, task-independent decreases have also frequently been encountered, especially when the tasks of interest have been compared with a passive state, such as simple fixation or eyes closed. These decreases have raised the possibility that there might be a baseline or resting state of brain function involving a specific set of mental operations. We explore this possibility, including the manner in which we might define a baseline and the implications of such a baseline for our understanding of brain function.
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            An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data.

            Several recent reports in large, independent samples have demonstrated the influence of motion artifact on resting-state functional connectivity MRI (rsfc-MRI). Standard rsfc-MRI preprocessing typically includes regression of confounding signals and band-pass filtering. However, substantial heterogeneity exists in how these techniques are implemented across studies, and no prior study has examined the effect of differing approaches for the control of motion-induced artifacts. To better understand how in-scanner head motion affects rsfc-MRI data, we describe the spatial, temporal, and spectral characteristics of motion artifacts in a sample of 348 adolescents. Analyses utilize a novel approach for describing head motion on a voxelwise basis. Next, we systematically evaluate the efficacy of a range of confound regression and filtering techniques for the control of motion-induced artifacts. Results reveal that the effectiveness of preprocessing procedures on the control of motion is heterogeneous, and that improved preprocessing provides a substantial benefit beyond typical procedures. These results demonstrate that the effect of motion on rsfc-MRI can be substantially attenuated through improved preprocessing procedures, but not completely removed. Copyright © 2012 Elsevier Inc. All rights reserved.
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              Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations.

              A previous report of correlations in low-frequency resting-state fluctuations between right and left hemisphere motor cortices in rapidly sampled single-slice echoplanar data is confirmed using a whole-body echoplanar MRI scanner at 1.5 T. These correlations are extended to lower sampling rate multislice echoplanar acquisitions and other right/left hemisphere-symmetric functional cortices. The specificity of the correlations in the lower sampling-rate acquisitions is lower due to cardiac and respiratory-cycle effects which are aliased into the pass-band of the low-pass filter. Data are combined for three normal right-handed male subjects. Correlations to left hemisphere motor cortex, visual cortex, and amygdala are measured in long resting-state scans.
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                Author and article information

                Contributors
                sato.wataru.4v@kyoto-u.ac.jp
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                20 August 2019
                20 August 2019
                2019
                : 9
                : 12098
                Affiliations
                [1 ]ISNI 0000 0004 0372 2033, GRID grid.258799.8, Kokoro Research Center, Kyoto University, Kyoto University, ; 46 Shimoadachi, Sakyo, Kyoto, 606-8501 Japan
                [2 ]ISNI 0000 0001 2291 1583, GRID grid.418163.9, Brain Activity Imaging Center, ATR-Promotions, ; 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0288 Japan
                [3 ]ISNI 0000 0004 0372 2033, GRID grid.258799.8, Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, , Kyoto University, ; 53 Shogoin-Kawaharacho, Sakyo, Kyoto, 606-8507 Japan
                [4 ]ISNI 0000 0001 0664 6513, GRID grid.412565.1, Health and Medical Services Center, Shiga University, ; 1-1-1, Baba, Hikone, Shiga, 522-8522 Japan
                [5 ]ISNI 0000 0004 0372 2033, GRID grid.258799.8, Faculty of Human Health Science, Graduate School of Medicine, Kyoto University, ; 53 Shogoin-Kawaharacho, Sakyo-ku, Kyoto, 606-8507 Japan
                [6 ]The Organization for Promoting Neurodevelopmental Disorder Research, 40 Shogoin-Sannocho, Sakyo, Kyoto, 606-8392 Japan
                Author information
                http://orcid.org/0000-0002-5335-1272
                Article
                48510
                10.1038/s41598-019-48510-9
                6702218
                31431639
                c37576be-c954-4144-9c65-210e8a0fea8b
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 July 2018
                : 7 August 2019
                Funding
                Funded by: Our study was supported by funds from the Japan Society for the Promotion of Science (JSPS) Funding Program for Next Generation World-Leading Researchers (LZ008), the JSPS KAKENHI (15K04185), and the Research Complex Program from Japan Science and Technology Agency.
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                © The Author(s) 2019

                Uncategorized
                consciousness,limbic system
                Uncategorized
                consciousness, limbic system

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