利用 fMRI 预测个体大脑成熟度。
Prediction of individual brain maturity using fMRI.
机构信息
Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.
出版信息
Science. 2010 Sep 10;329(5997):1358-61. doi: 10.1126/science.1194144.
Abstract
Group functional connectivity magnetic resonance imaging (fcMRI) studies have documented reliable changes in human functional brain maturity over development. Here we show that support vector machine-based multivariate pattern analysis extracts sufficient information from fcMRI data to make accurate predictions about individuals' brain maturity across development. The use of only 5 minutes of resting-state fcMRI data from 238 scans of typically developing volunteers (ages 7 to 30 years) allowed prediction of individual brain maturity as a functional connectivity maturation index. The resultant functional maturation curve accounted for 55% of the sample variance and followed a nonlinear asymptotic growth curve shape. The greatest relative contribution to predicting individual brain maturity was made by the weakening of short-range functional connections between the adult brain's major functional networks.
摘要
群组功能连接磁共振成像 (fcMRI) 研究记录了人类功能大脑成熟度在发育过程中可靠的变化。在这里，我们表明基于支持向量机的多元模式分析从 fcMRI 数据中提取了足够的信息，可以准确预测个体在整个发育过程中的大脑成熟度。仅使用来自 238 名正常发育志愿者（7 至 30 岁）的 5 分钟静息状态 fcMRI 数据，就可以预测个体的大脑成熟度作为功能连接成熟指数。由此产生的功能成熟曲线解释了样本方差的 55%，并遵循非线性渐近增长曲线形状。预测个体大脑成熟度的最大相对贡献来自削弱成人大脑主要功能网络之间的短程功能连接。
相似文献
1
Prediction of individual brain maturity using fMRI.利用 fMRI 预测个体大脑成熟度。
Science. 2010 Sep 10;329(5997):1358-61. doi: 10.1126/science.1194144.
2
Decoding lifespan changes of the human brain using resting-state functional connectivity MRI.利用静息态功能连接磁共振成像解码人类大脑的寿命变化。
PLoS One. 2012;7(8):e44530. doi: 10.1371/journal.pone.0044530. Epub 2012 Aug 30.
3
Evaluating the Prediction of Brain Maturity From Functional Connectivity After Motion Artifact Denoising.评估运动伪影去噪后功能连接预测大脑成熟度。
Cereb Cortex. 2019 Jun 1;29(6):2455-2469. doi: 10.1093/cercor/bhy117.
4
Mapping continued brain growth and gray matter density reduction in dorsal frontal cortex: Inverse relationships during postadolescent brain maturation.绘制背侧前额叶皮质持续的脑生长和灰质密度降低情况：青春期后脑成熟过程中的反向关系。
J Neurosci. 2001 Nov 15;21(22):8819-29. doi: 10.1523/JNEUROSCI.21-22-08819.2001.
5
State and Trait Components of Functional Connectivity: Individual Differences Vary with Mental State.功能连接的状态和特质成分：个体差异随心理状态而变化。
J Neurosci. 2015 Oct 14;35(41):13949-61. doi: 10.1523/JNEUROSCI.1324-15.2015.
6
Frontoparietal and salience network synchronizations during nonsymbolic magnitude processing predict brain age and mathematical performance in youth.非符号数量加工过程中的额顶网络和突显网络同步可以预测青少年的大脑年龄和数学表现。
Hum Brain Mapp. 2024 Aug 1;45(11):e26777. doi: 10.1002/hbm.26777.
7
Control networks in paediatric Tourette syndrome show immature and anomalous patterns of functional connectivity.小儿抽动秽语综合征中的控制网络显示出功能连接的不成熟和异常模式。
Brain. 2009 Jan;132(Pt 1):225-38. doi: 10.1093/brain/awn223. Epub 2008 Oct 24.
8
The association between cerebrovascular reactivity and resting-state fMRI functional connectivity in healthy adults: The influence of basal carbon dioxide.健康成年人脑血管反应性与静息态功能磁共振成像功能连接之间的关联：基础二氧化碳的影响
Neuroimage. 2016 May 15;132:301-313. doi: 10.1016/j.neuroimage.2016.02.051. Epub 2016 Feb 23.
9
Prediction of brain maturity in infants using machine-learning algorithms.使用机器学习算法预测婴儿大脑成熟度。
Neuroimage. 2016 Aug 1;136:1-9. doi: 10.1016/j.neuroimage.2016.05.029. Epub 2016 May 11.
10
Gender differences in brain regional homogeneity of healthy subjects after normal sleep and after sleep deprivation: a resting-state fMRI study.健康受试者正常睡眠和睡眠剥夺后脑区局部一致性的性别差异：一项静息态 fMRI 研究。
Sleep Med. 2012 Jun;13(6):720-7. doi: 10.1016/j.sleep.2011.09.019. Epub 2012 Apr 13.
引用本文的文献
1
Single scan, subject-specific component extraction in dynamic functional connectivity using dictionary learning.使用字典学习在动态功能连接性中进行单次扫描、特定受试者成分提取。
Imaging Neurosci (Camb). 2025 Sep 2;3. doi: 10.1162/IMAG.a.125. eCollection 2025.
2
Mind the Gap: Does Brain Age Improve Alzheimer's Disease Prediction?注意差距：脑龄能否改善阿尔茨海默病的预测？
Hum Brain Mapp. 2025 Aug 15;46(12):e70276. doi: 10.1002/hbm.70276.
3
Stability and variation of brain-behavior correlation patterns across measures of social support.社会支持测量中脑-行为关联模式的稳定性与变异性。
Imaging Neurosci (Camb). 2024 Apr 18;2. doi: 10.1162/imag_a_00133. eCollection 2024.
4
Behavior can be decoded across the cortex when individual differences are considered.当考虑个体差异时，行为可以在整个皮层中被解码。
Imaging Neurosci (Camb). 2024 Nov 8;2. doi: 10.1162/imag_a_00359. eCollection 2024.
5
Edge-centric network control on the human brain structural network.人类脑结构网络上以边缘为中心的网络控制
Imaging Neurosci (Camb). 2024 Jun 10;2. doi: 10.1162/imag_a_00191. eCollection 2024.
6
Modeling differences in neurodevelopmental maturity of the reading network using support vector regression on functional connectivity data.利用支持向量回归对功能连接数据进行建模，以研究阅读网络神经发育成熟度的差异。
bioRxiv. 2025 Aug 5:2024.06.10.597945. doi: 10.1101/2024.06.10.597945.
7
Computational mechanisms of neuroimaging biomarkers uncovered by multicenter resting-state fMRI connectivity variation profile.多中心静息态功能磁共振成像连接性变异图谱揭示的神经影像生物标志物的计算机制
Mol Psychiatry. 2025 Aug 7. doi: 10.1038/s41380-025-03134-6.
8
Younger adult brain utilizes interhemispheric strategy via ipsilateral dorsal premotor cortex for fine control of dexterous finger movements, unlike the aging brain.与衰老的大脑不同，年轻成年人的大脑通过同侧背侧运动前皮层利用半球间策略来精细控制灵巧的手指运动。
Front Aging Neurosci. 2025 Jul 21;17:1501011. doi: 10.3389/fnagi.2025.1501011. eCollection 2025.
9
Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas.用于额叶胶质瘤个体化分级的全脑静息态功能磁共振成像特征的机器学习
Cancer Imaging. 2025 Aug 4;25(1):97. doi: 10.1186/s40644-025-00920-x.
10
Perinatal Maternal Depressive Symptoms and Brain Connectivity Among 9- to 15-Year-Old Offspring.9至15岁后代的围产期母亲抑郁症状与脑连接性
JAMA Netw Open. 2025 Jul 1;8(7):e2523978. doi: 10.1001/jamanetworkopen.2025.23978.
本文引用的文献
1
Functional connectivity density mapping.功能连接密度映射
Proc Natl Acad Sci U S A. 2010 May 25;107(21):9885-90. doi: 10.1073/pnas.1001414107. Epub 2010 May 10.
2
Developmental neurobiology of cognitive control and motivational systems.认知控制和动机系统的发展神经生物学。
Curr Opin Neurobiol. 2010 Apr;20(2):236-41. doi: 10.1016/j.conb.2010.01.006. Epub 2010 Feb 16.
3
Disease and the brain's dark energy.疾病与大脑的暗能量。
Nat Rev Neurol. 2010 Jan;6(1):15-28. doi: 10.1038/nrneurol.2009.198.
4
Age- and gender-related differences in the cortical anatomical network.年龄和性别相关的皮质解剖网络差异。
J Neurosci. 2009 Dec 16;29(50):15684-93. doi: 10.1523/JNEUROSCI.2308-09.2009.
5
Reproducibility distinguishes conscious from nonconscious neural representations.可重复性将有意识的神经表象与无意识的神经表象区分开来。
Science. 2010 Jan 1;327(5961):97-9. doi: 10.1126/science.1180029. Epub 2009 Nov 12.
6
Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI.基于 fMRI 的低维嵌入技术对精神分裂症静息态功能连接模式的判别分析。
Neuroimage. 2010 Feb 15;49(4):3110-21. doi: 10.1016/j.neuroimage.2009.11.011. Epub 2009 Nov 18.
7
Decoding the large-scale structure of brain function by classifying mental States across individuals.通过对个体的心理状态进行分类来解码大脑功能的大规模结构。
Psychol Sci. 2009 Nov;20(11):1364-72. doi: 10.1111/j.1467-9280.2009.02460.x. Epub 2009 Oct 30.
8
The maturation of task set-related activation supports late developmental improvements in inhibitory control.与任务集相关的激活成熟支持抑制控制的后期发育改善。
J Neurosci. 2009 Oct 7;29(40):12558-67. doi: 10.1523/JNEUROSCI.1579-09.2009.
9
Learning sculpts the spontaneous activity of the resting human brain.学习塑造静息状态下人类大脑的自发活动。
Proc Natl Acad Sci U S A. 2009 Oct 13;106(41):17558-63. doi: 10.1073/pnas.0902455106. Epub 2009 Oct 5.
10
Recollection, familiarity, and cortical reinstatement: a multivoxel pattern analysis.回忆、熟悉感与皮层恢复：一种多体素模式分析
Neuron. 2009 Sep 10;63(5):697-708. doi: 10.1016/j.neuron.2009.08.011.
Zotero 插件