Clinical applications of the functional connectome.

Clinical applications of the functional connectome.
复制标题

DOI:
10.1016/j.neuroimage.2013.04.083
复制
发表时间:
2013-10-15
期刊:
影响因子:
5.7
通讯作者:
Milham, Michael P.
Milham, Michael P.
中科院分区:
医学1区
文献类型:
--
作者:
Castellanos, F. Xavier;Di Martino, Adriana;Craddock, R. Cameron;Mehta, Ashesh D.;Milham, Michael P.

文献摘要

参考文献

被引文献

相似文献

在神经病学和精神病学中,功能连接组学临床应用发展的核心是生物标志物的发现和验证。静息态功能磁共振成像(R - fMRI)正逐渐成为基于成像的生物标志物识别的主流方法,它可检测出可归因于临床变量(例如诊断状态)的功能连接组的变化。尽管人们的热情日益高涨,但仍存在许多挑战。在此,我们通过用于评估临床试验的标准(即有效性、可靠性、敏感性、特异性和适用性)来评估基于R - fMRI的功能连接组学在实现具有临床意义的生物标志物识别方面的准备情况的证据。我们关注当前基于R - fMRI的预测工作,并综述用于神经外科规划的R - fMRI。我们确定了基于R - fMRI的生物标志物识别的差距和需求,强调了新兴的概念、分析和文化创新(例如研究领域标准项目(RDoC)、开放科学倡议和大数据)解决这些问题的潜力。此外,我们注意到有必要将未来的工作扩展到不仅仅是识别疾病状态的生物标志物,还应包括与风险、预期治疗反应和预后相关的临床变量。
Central to the development of clinical applications of functional connectomics for neurology and psychiatry is the discovery and validation of biomarkers. Resting state fMRI (R-fMRI) is emerging as a mainstream approach for imaging-based biomarker identification, detecting variations in the functional connectome that can be attributed to clinical variables (e.g., diagnostic status). Despite growing enthusiasm, many challenges remain. Here, we assess evidence of the readiness of R-fMRI based functional connectomics to lead to clinically meaningful biomarker identification through the lens of the criteria used to evaluate clinical tests (i.e., validity, reliability, sensitivity, specificity, and applicability). We focus on current R-fMRI-based prediction efforts, and survey R-fMRI used for neurosurgical planning. We identify gaps and needs for R-fMRI-based biomarker identification, highlighting the potential of emerging conceptual, analytical and cultural innovations (e.g., the Research Domain Criteria Project (RDoC), open science initiatives, and Big Data) to address them. Additionally, we note the need to expand future efforts beyond identification of biomarkers for disease status alone to include clinical variables related to risk, expected treatment response and prognosis.
DOI: 10.1177/1073858411403316
发表时间: 2012-06
期刊: The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
影响因子: --
作者:
Andrews-Hanna JR
通讯作者: Andrews-Hanna JR
DOI: 10.1016/j.neuroimage.2008.10.034
发表时间: 2009-03-01
期刊: NeuroImage
影响因子: 5.7
作者:
Bianciardi M;Fukunaga M;van Gelderen P;Horovitz SG;de Zwart JA;Duyn JH
通讯作者: Duyn JH
DOI: 10.1016/j.neuroimage.2011.10.002
发表时间: 2012-02-01
期刊: NEUROIMAGE
影响因子: 5.7
作者:
Bassett, Danielle S.;Nelson, Brent G.;Mueller, Bryon A.;Camchong, Jazmin;Lim, Kelvin O.
通讯作者: Lim, Kelvin O.
DOI: 10.1371/journal.pone.0003984
发表时间: 2008
期刊: PloS one
影响因子: 3.7
作者:
Ben-Simon E;Podlipsky I;Arieli A;Zhdanov A;Hendler T
通讯作者: Hendler T
DOI: 10.1016/j.cub.2009.04.028
发表时间: 2009-06-23
期刊: Current biology : CB
影响因子: --
作者:
Albert NB;Robertson EM;Miall RC
通讯作者: Miall RC