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Toward discovery science of human brain function
文献类型：期刊论文
| 作者 | Biswal, Bharat B.2; Mennes, Maarten1; Zuo, Xi-Nian1 ; Gohel, Suril2; Kelly, Clare1; Smith, Steve M.3; Beckmann, Christian F.3; Adelstein, Jonathan S.1; Buckner, Randy L.4; Colcombe, Stan5
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| 刊名 | PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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| 出版日期 | 2010-03-09 |
| 卷号 | 107期号:10页码:4734-4739 |
| 关键词 | database neuroimaging open access reproducibility resting state |
| ISSN号 | 0027-8424 |
| 文献子类 | Article |
| 英文摘要 | Although it is being successfully implemented for exploration of the genome, discovery science has eluded the functional neuroimaging community. The core challenge remains the development of common paradigms for interrogating the myriad functional systems in the brain without the constraints of a priori hypotheses. Resting-state functional MRI (R-fMRI) constitutes a candidate approach capable of addressing this challenge. Imaging the brain during rest reveals large-amplitude spontaneous low-frequency (< 0.1 Hz)fluctuations in the fMRI signal that are temporally correlated across functionally related areas. Referred to as functional connectivity, these correlations yield detailed maps of complex neural systems, collectively constituting an individual's "functional connectome." Reproducibility across datasets and individuals suggests the functional connectome has a common architecture, yet each individual's functional connectome exhibits unique features, with stable, meaningful interindividual differences in connectivity patterns and strengths. Comprehensive mapping of the functional connectome, and its subsequent exploitation to discern genetic influences and brain-behavior relationships, will require multicenter collaborative datasets. Here we initiate this endeavor by gathering R-fMRI data from 1,414 volunteers collected independently at 35 international centers. We demonstrate a universal architecture of positive and negative functional connections, as well as consistent loci of inter-individual variability. Age and sex emerged as significant determinants. These results demonstrate that independent R-fMRI datasets can be aggregated and shared. High-throughput R-fMRI can provide quantitative phenotypes for molecular genetic studies and biomarkers of developmental and pathological processes in the brain. To initiate discovery science of brain function, the 1000 Functional Connectomes Project dataset is freely accessible at www.nitrc.org/projects/fcon_1000/. |
| 学科主题 | 认知神经科学 |
| 资助项目 | 二室翁旭初课题组 |
| 语种 | 英语 |
| WOS记录号 | WOS:000275368400045 |
| 公开日期 | 2011-12-02 |
| 源URL | [http://ir.psych.ac.cn/handle/311026/7271]  |
| 专题 | 心理研究所_中国科学院心理研究所回溯数据库(1956-2010) |
| 通讯作者 | Michael P. Milhamb |
| 作者单位 | 1.NYU, Phyllis Green & Randolph Cowen Inst Pediat Neuros, Ctr Child Study, Langone Med Ctr, New York, NY 10016 USA 2.Univ Med & Dent New Jersey, New Jersey Med Sch, Dept Radiol, Newark, NJ 07103 USA 3.Univ Oxford, FMRIB Ctr, Oxford OX3 9DU, England 4.Harvard Univ, Howard Hughes Med Inst, Cambridge, MA 02138 USA 5.Univ Wales, Sch Psychol, Bangor, Gwynedd, Wales 6.Univ Copenhagen, Hvidovre Hosp, Danish Res Ctr Magnet Resonance, DK-2650 Hvidovre, Denmark 7.NIMH, Mood & Anxiety Disorders Program, NIH, Dept Hlth & Human Serv, Bethesda, MD 20892 USA 8.Oregon Hlth & Sci Univ, Dept Behav Neurosci, Portland, OR 97239 USA 9.Yale Univ, Sch Med, Dept Diagnost Radiol, New Haven, CT 06511 USA 10.Nathan S Kline Inst Psychiat Res, Div Clin Res, Orangeburg, NY 10962 USA |
| 推荐引用方式 GB/T 7714 | Biswal, Bharat B.,Mennes, Maarten,Zuo, Xi-Nian,et al. Toward discovery science of human brain function[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2010,107(10):4734-4739. |
| APA | Biswal, Bharat B..,Mennes, Maarten.,Zuo, Xi-Nian.,Gohel, Suril.,Kelly, Clare.,...&Michael P. Milhamb.(2010).Toward discovery science of human brain function.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,107(10),4734-4739. |
| MLA | Biswal, Bharat B.,et al."Toward discovery science of human brain function".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 107.10(2010):4734-4739. |
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来源：心理研究所
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