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      Resting States Are Resting Traits – An fMRI Study of Sex Differences and Menstrual Cycle Effects in Resting State Cognitive Control Networks

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          Abstract

          To what degree resting state fMRI is stable or susceptible to internal mind states of the individual is currently an issue of debate. To address this issue, the present study focuses on sex differences and investigates whether resting state fMRI is stable in men and women or changes within relative short-term periods (i.e., across the menstrual cycle). Due to the fact that we recently reported menstrual cycle effects on cognitive control based on data collected during the same sessions, the current study is particularly interested in fronto-parietal resting state networks. Resting state fMRI was measured in sixteen women during three different cycle phases (menstrual, follicular, and luteal). Fifteen men underwent three sessions in corresponding time intervals. We used independent component analysis to identify four fronto-parietal networks. The results showed sex differences in two of these networks with women exhibiting higher functional connectivity in general, including the prefrontal cortex. Menstrual cycle effects on resting states were non-existent. It is concluded that sex differences in resting state fMRI might reflect sexual dimorphisms in the brain rather than transitory activating effects of sex hormones on the functional connectivity in the resting brain.

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          Evidence for a frontoparietal control system revealed by intrinsic functional connectivity.

          Two functionally distinct, and potentially competing, brain networks have been recently identified that can be broadly distinguished by their contrasting roles in attention to the external world versus internally directed mentation involving long-term memory. At the core of these two networks are the dorsal attention system and the hippocampal-cortical memory system, a component of the brain's default network. Here spontaneous blood-oxygenation-level-dependent (BOLD) signal correlations were used in three separate functional magnetic resonance imaging data sets (n = 105) to define a third system, the frontoparietal control system, which is spatially interposed between these two previously defined systems. The frontoparietal control system includes many regions identified as supporting cognitive control and decision-making processes including lateral prefrontal cortex, anterior cingulate cortex, and inferior parietal lobule. Detailed analysis of frontal and parietal cortex, including use of high-resolution data, revealed clear evidence for contiguous but distinct regions: in general, the regions associated with the frontoparietal control system are situated between components of the dorsal attention and hippocampal-cortical memory systems. The frontoparietal control system is therefore anatomically positioned to integrate information from these two opposing brain systems.
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            Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain.

            During rest, multiple cortical brain regions are functionally linked forming resting-state networks. This high level of functional connectivity within resting-state networks suggests the existence of direct neuroanatomical connections between these functionally linked brain regions to facilitate the ongoing interregional neuronal communication. White matter tracts are the structural highways of our brain, enabling information to travel quickly from one brain region to another region. In this study, we examined both the functional and structural connections of the human brain in a group of 26 healthy subjects, combining 3 Tesla resting-state functional magnetic resonance imaging time-series with diffusion tensor imaging scans. Nine consistently found functionally linked resting-state networks were retrieved from the resting-state data. The diffusion tensor imaging scans were used to reconstruct the white matter pathways between the functionally linked brain areas of these resting-state networks. Our results show that well-known anatomical white matter tracts interconnect at least eight of the nine commonly found resting-state networks, including the default mode network, the core network, primary motor and visual network, and two lateralized parietal-frontal networks. Our results suggest that the functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain.
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              Organizing action of prenatally administered testosterone propionate on the tissues mediating mating behavior in the female guinea pig.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                24 July 2014
                : 9
                : 7
                : e103492
                Affiliations
                [1 ]Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
                [2 ]Department of Psychology, Durham University, Durham, United Kingdom
                [3 ]Bjørgvin District Psychiatric Centre, Haukeland University Hospital, Bergen, Norway
                [4 ]Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
                [5 ]Department of Medical Engineering, Haukeland University Hospital, Bergen, Norway
                Universiteit Gent, Belgium
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: HH KS MH RW. Performed the experiments: HH BO. Analyzed the data: HH KS. Wrote the paper: HH KS MH RW BO.

                Article
                PONE-D-14-04547
                10.1371/journal.pone.0103492
                4110030
                25057823
                b4bdb2e6-a7d7-4aeb-951d-c37abe5b686c
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 29 January 2014
                : 3 July 2014
                Page count
                Pages: 10
                Funding
                The work was supported by grants from the Bergen research foundation (Bergens Forskningsstiftelse: http://www.bfstiftelse.no/) and by grants STU 263/3–3 and HA 3285/4–1 of the Deutsche Forschungsgemeinschaft ( http://www.dfg.de/) to MH. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Hormones
                Neuroscience
                Neuroimaging
                Functional Magnetic Resonance Imaging
                Physiology
                Endocrine Physiology
                Medicine and Health Sciences
                Social Sciences
                Sociology
                Sexual and Gender Issues

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                Uncategorized

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