分布式神经网络的多重摄动分析：空间忽视的案例。
Multiperturbation analysis of distributed neural networks: the case of spatial neglect.
机构信息
Interdisciplinary Center for Neural Computation, Hebrew University, Jerusalem, Israel.
出版信息
Hum Brain Mapp. 2009 Nov;30(11):3687-95. doi: 10.1002/hbm.20797.
Abstract
This study assesses the feasibility of using a multiperturbation analysis (MPA) approach for lesion-symptom mapping. We analyze the relative contribution of damage in different brain regions to the expression of spatial neglect, as revealed in line-bisection performance. The data set comprised of normalized lesion information and bisection test results from 23 first-event right-hemisphere stroke patients. Obtaining quantitative measures of task relevance for different regions of interest (ROIs), the following ROIs were found to be the most contributing: the supramarginal and angular gyri of the inferior parietal lobule, the superior parietal lobule, the anterior part of the temporo-parietal junction connecting the superior temporal and supramarginal gyri, and the thalamus. MPA is likely to play an important role in elucidating the anatomical substrate of complex functions.
摘要
本研究评估了使用多扰动分析（MPA）方法进行病变-症状映射的可行性。我们分析了不同脑区损伤对空间忽略表达的相对贡献，这是通过线二分测试结果揭示的。该数据集包括 23 例首次右侧半球中风患者的归一化损伤信息和二分测试结果。为了获得不同感兴趣区域（ROI）的任务相关性的定量测量，发现以下 ROI 贡献最大：下顶叶的缘上回和角回、顶叶上回、连接上颞叶和缘上回的颞顶交界处的前部，以及丘脑。MPA 可能在阐明复杂功能的解剖学基础方面发挥重要作用。
相似文献
1
Multiperturbation analysis of distributed neural networks: the case of spatial neglect.分布式神经网络的多重摄动分析：空间忽视的案例。
Hum Brain Mapp. 2009 Nov;30(11):3687-95. doi: 10.1002/hbm.20797.
2
Peripersonal and extrapersonal visuospatial neglect in different frames of reference: A brain lesion-symptom mapping study.不同参照系中的个人周边和个人空间外视觉空间忽视：一项脑损伤-症状映射研究。
Behav Brain Res. 2019 Jan 1;356:504-515. doi: 10.1016/j.bbr.2018.06.010. Epub 2018 Jun 22.
3
How many forms of perseveration? Evidence from cancellation tasks in right hemisphere patients.有多少种持续状态？来自右脑损伤患者删除任务的证据。
Neuropsychologia. 2013 Dec;51(14):2960-75. doi: 10.1016/j.neuropsychologia.2013.10.023. Epub 2013 Nov 4.
4
Neuroanatomy of hemispatial neglect and its functional components: a study using voxel-based lesion-symptom mapping.半空间忽略的神经解剖及其功能成分：基于体素的病变-症状映射研究。
Brain. 2010 Mar;133(Pt 3):880-94. doi: 10.1093/brain/awp305. Epub 2009 Dec 22.
5
The attention network of the human brain: relating structural damage associated with spatial neglect to functional imaging correlates of spatial attention.人类大脑的注意网络：将与空间忽视相关的结构损伤与空间注意的功能成像相关物联系起来。
Neuropsychologia. 2011 Sep;49(11):3063-70. doi: 10.1016/j.neuropsychologia.2011.07.008. Epub 2011 Jul 19.
6
Parietal versus temporal lobe components in spatial cognition: Setting the mid-point of a horizontal line.空间认知中顶叶与颞叶的组成部分：确定水平线的中点。
J Neuropsychol. 2009 Sep;3(Pt 2):201-11. doi: 10.1348/174866408X388197. Epub 2008 Dec 16.
7
Neural correlates of visuospatial bias in patients with left hemisphere stroke: a causal functional contribution analysis based on game theory.基于博弈论的左半球卒中患者视空间偏倚的神经相关因素：因果功能贡献分析。
Neuropsychologia. 2018 Jul 1;115:142-153. doi: 10.1016/j.neuropsychologia.2017.10.013. Epub 2017 Oct 12.
8
Damage to white matter pathways in subacute and chronic spatial neglect: a group study and 2 single-case studies with complete virtual "in vivo" tractography dissection.亚急性和慢性空间忽略症患者的白质通路损伤：一项群组研究和两项完全虚拟“活体”追踪解剖的单病例研究。
Cereb Cortex. 2014 Mar;24(3):691-706. doi: 10.1093/cercor/bhs351. Epub 2012 Nov 15.
9
Neuronal substrates of Corsi Block span: Lesion symptom mapping analyses in relation to attentional competition and spatial bias.科西方块跨度的神经元基质：与注意力竞争和空间偏差相关的损伤症状映射分析
Neuropsychologia. 2014 Nov;64:240-51. doi: 10.1016/j.neuropsychologia.2014.09.038. Epub 2014 Oct 2.
10
Behavioral deficits in left hemispatial neglect are related to a reduction of spontaneous neuronal activity in the right superior parietal lobule.左空间忽视行为缺陷与右侧顶叶上叶自发性神经元活动减少有关。
Neuropsychologia. 2020 Feb 17;138:107356. doi: 10.1016/j.neuropsychologia.2020.107356. Epub 2020 Jan 20.
引用本文的文献
1
Analysis of clinical anatomical correlates of motor deficits in stroke by multivariate lesion inference based on game theory.基于博弈论的多变量损伤推断对中风运动功能障碍的临床解剖学相关性分析
Front Neurosci. 2025 Apr 17;19:1409107. doi: 10.3389/fnins.2025.1409107. eCollection 2025.
2
Use of multi-perturbation Shapley analysis in lesion studies of functional networks: The case of upper limb paresis.使用多扰动 Shapley 分析研究功能网络病变：以上肢瘫痪为例。
Hum Brain Mapp. 2023 Mar;44(4):1320-1343. doi: 10.1002/hbm.26105. Epub 2022 Oct 7.
3
Game theoretical mapping of white matter contributions to visuospatial attention in stroke patients with hemineglect.运用博弈论绘制脑卒中单侧忽略患者的脑白质对视觉空间注意力的贡献图。
Hum Brain Mapp. 2020 Aug 1;41(11):2926-2950. doi: 10.1002/hbm.24987. Epub 2020 Apr 3.
4
Game theoretical mapping of causal interactions underlying visuo-spatial attention in the human brain based on stroke lesions.基于中风损伤的人脑视觉空间注意力潜在因果交互作用的博弈论映射。
Hum Brain Mapp. 2017 Jul;38(7):3454-3471. doi: 10.1002/hbm.23601. Epub 2017 Apr 17.
5
Technical considerations of a game-theoretical approach for lesion symptom mapping.用于病变症状映射的博弈论方法的技术考量。
BMC Neurosci. 2016 Jun 27;17(1):40. doi: 10.1186/s12868-016-0275-6.
6
Mapping causal functional contributions derived from the clinical assessment of brain damage after stroke.绘制中风后脑损伤临床评估得出的因果功能贡献图。
Neuroimage Clin. 2015 Aug 1;9:83-94. doi: 10.1016/j.nicl.2015.07.009. eCollection 2015.
7
Spatially distributed encoding of covert attentional shifts in human thalamus.人类丘脑对隐蔽注意力转移的空间分布编码。
J Neurophysiol. 2010 Dec;104(6):3644-56. doi: 10.1152/jn.00303.2010. Epub 2010 Sep 15.
本文引用的文献
1
Does monocular viewing improve target detection in hemispatial neglect?单眼观察是否能改善半侧空间忽略中的目标检测？
Restor Neurol Neurosci. 1995 Jan 1;9(2):77-83. doi: 10.3233/RNN-1995-9202.
2
Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect.额顶叶网络中功能连接性的破坏是空间忽视行为缺陷的基础。
Neuron. 2007 Mar 15;53(6):905-18. doi: 10.1016/j.neuron.2007.02.013.
3
Space and the parietal cortex.空间与顶叶皮层。
Trends Cogn Sci. 2007 Jan;11(1):30-6. doi: 10.1016/j.tics.2006.10.011. Epub 2006 Nov 28.
4
Neural bases of personal and extrapersonal neglect in humans.人类个人及空间忽视的神经基础。
Brain. 2007 Feb;130(Pt 2):431-41. doi: 10.1093/brain/awl265. Epub 2006 Sep 28.
5
Inferring functional pathways from multi-perturbation data.从多扰动数据中推断功能通路。
Bioinformatics. 2006 Jul 15;22(14):e539-46. doi: 10.1093/bioinformatics/btl204.
6
Axiomatic scalable neurocontroller analysis via the Shapley value.基于夏普利值的公理可扩展神经控制器分析
Artif Life. 2006 Summer;12(3):333-52. doi: 10.1162/artl.2006.12.3.333.
7
Disturbed line bisection is associated with posterior brain lesions.直线二等分障碍与脑后部病变有关。
Brain Res. 2006 Mar 29;1080(1):17-25. doi: 10.1016/j.brainres.2004.10.071. Epub 2006 Mar 7.
8
Multi-knockout genetic network analysis: the Rad6 example.多重基因敲除遗传网络分析：以Rad6为例。
Proc IEEE Comput Syst Bioinform Conf. 2004:332-40.
9
Quantitative analysis of genetic and neuronal multi-perturbation experiments.基因和神经元多扰动实验的定量分析
PLoS Comput Biol. 2005 Nov;1(6):e64. doi: 10.1371/journal.pcbi.0010064. Epub 2005 Nov 25.
10
Assessment of spatial attention after brain damage with a dynamic reaction time test.采用动态反应时间测试评估脑损伤后的空间注意力。
J Int Neuropsychol Soc. 2005 Oct;11(6):697-707. doi: 10.1017/S1355617705050824.
Zotero 插件