自引率: 4.7%
被引量: 17395
通过率: 暂无数据
审稿周期: 0.75
版面费用: 暂无数据
国人发稿量: 99
期刊描述简介:
Frontiers in Neuroscience is a leading journal in its field, publishing rigorously peer-reviewed research across a wide spectrum of specialties and disciplines. Field Chief Editor Idan Segev at the Hebrew University of Jerusalem is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. These are historical times for brain research - namely for the Brain itself. The convergence of novel molecular and optical techniques paves the way to the era of "causation neuroscience," whereby many thousands of cells composing the system studied can be recorded from and manipulated in a very specific manner (e.g. via "optogenetics") and the behavioral and functional consequences of these manipulations explored in vivo. It is also a new era of "anatomical neuroscience" - as recently developed techniques, both at the whole-brain level ("connectome") and the local circuit and synaptic level ("connectomics") become more widely used. These approaches allow us to link structure of specific brain regions and local circuits to function more astutely. New research fields have recently emerged, e.g. "neuroeconomics" and "neuroenergetics." In addition, and critically, in our information-generating world, new informatics-based methods are being developed to store the enormous amount of new “big data” in a systematic manner, for data-preservation, data-mining and for extracting key information from these data. And, importantly, theoretical and computational approaches are being developed for integrating this diverse data and for deriving principles of brain operations that may otherwise lie hidden within the intricacies of brain circuits. As the field is growing fast, we seek to integrate and cross-link studies and citations in related subfields, providing an overview of the state-of-the-art in these fields and the ways in which they complement each other. After all, we may each of us look at the brain from particular standpoints - all the way from "genes to behavior" - yet the brain integrates all these levels seamlessly; this journal should reflect this in the best possible way.
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Peak width of skeletonized mean diffusivity as a neuroimaging biomarker in first-episode schizophrenia.
Peak width of skeletonized mean diffusivity (PSMD), a fully automated diffusion tensor imaging (DTI) biomarker of white matter (WM) microstructure damage, has been shown to be associated with cognition in various WM pathologies. However, its application in schizophrenic disease remains unexplored. This study aims to investigate PSMD along with other DTI markers in first-episode schizophrenia patients compared to healthy controls (HCs), and explore the correlations between these metrics and clinical characteristics. A total of 56 first-episode drug-naive schizophrenia patients and 64 HCs were recruited for this study. Participants underwent structural imaging and DTI, followed by comprehensive clinical assessments, including the Positive and Negative Syndrome Scale (PANSS) for patients and cognitive function tests for all participants. We calculated PSMD, peak width of skeletonized fractional anisotropy (PSFA), axial diffusivity (PSAD), radial diffusivity (PSRD) values, skeletonized average mean diffusivity (MD), average fractional anisotropy (FA), average axial diffusivity (AD), and average radial diffusivity (RD) values as well as structural network global topological parameters, and examined between-group differences in these WM metrics. Furthermore, we investigated associations between abnormal metrics and clinical characteristics. Compared to HCs, patients exhibited significantly increased PSMD values (t = 2.467, p = 0.015), decreased global efficiency (Z = -2.188, p = 0.029), and increased normalized characteristic path length (lambda) (t = 2.270, p = 0.025). No significant differences were observed between the groups in the remaining metrics, including PSFA, PSAD, PSRD, average MD, FA, AD, RD, local efficiency, normalized cluster coefficient, small-worldness, assortativity, modularity, or hierarchy (p > 0.05). After adjusting for relevant variables, both PSMD and lambda values exhibited a significant negative correlation with reasoning and problem-solving scores (PSMD: r = -0.409, p = 0.038; lambda: r = -0.520, p = 0.006). No statistically significant correlations were observed between each PANSS score and the aforementioned metrics in the patient group (p > 0.05). Multivariate linear regression analysis revealed that increased PSMD (β = -0.426, t = -2.260, p = 0.034) and increased lambda (β = -0.490, t = -2.994, p = 0.007) were independently associated with decreased reasoning and problem-solving scores respectively ( R a d j 2 = 0.295, F = 2.951, p = 0.029). But these significant correlations did not withstand FDR correction (p_FDR > 0.05). PSMD can be considered as a valuable neuroimaging biomarker that complements conventional diffusion measurements for investigating abnormalities in WM microstructural integrity and cognitive functions in schizophrenia.
被引量：- 发表：1970
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Characterizing the adult zebrafish model of Parkinson's disease: a systematic review of dynamic changes in behavior and physiology post-MPTP administration.
被引量：- 发表：1970
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Neuromorphic engineering in wetware: the state of the art and its perspectives.
被引量：- 发表：1970
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Role of stress and early-life stress in the pathogeny of inflammatory bowel disease.
被引量：- 发表：1970
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Comprehensive MRI assessment reveals subtle brain findings in non-hospitalized post-COVID patients with cognitive impairment.
被引量：- 发表：1970
