Interpreting and Utilising Intersubject Variability in Brain Function.
Interpreting and Utilising Intersubject Variability in Brain Function.
复制标题
DOI：
10.1016/j.tics.2018.03.003
复制
发表时间：
2018-06
影响因子：
19.9
通讯作者：
Price CJ
中科院分区：
文献类型：
--
作者：
Seghier ML;Price CJ
我们认为脑功能的主体间差异是数据而不是噪声。我们将可变性描述为嘈杂的塑料系统（大脑）的自然输出，其中每个主体都体现了该系统的特定参数化。在这种情况下，可变性成为一个机会：(1)更好地表征典型与非典型的大脑功能；（ii）揭示能够维持类似任务的不同认知策略和处理网络；（iii）通过考虑受损和未受损的处理通路来预测脑损伤后的恢复能力。这对理解个人学习偏好和解释人类能力和残疾的巨大差异有许多影响。理解变异性可以提高神经影像学发现的转化潜力，特别是在临床和教育神经科学方面。当数据在受试者之间平均时，大量的科学和临床相关信息被隐藏，并且可能无效。人们对利用神经影像学来解释人类能力和残疾的差异越来越感兴趣。要想在这方面取得进展，我们就必须把主体间的可变性视为数据，而不是噪音。我们的可塑性和嘈杂的大脑从本质上改变了每个人大脑的参数化，为理解大脑功能的差异提供了丰富的机会。正常可变性可用于解码维持相同任务的不同神经通路（退化）。这对于理解为什么患者在看似相似的大脑区域受损后会有不同的结果至关重要。
We consider between-subject variance in brain function as data rather than noise. We describe variability as a natural output of a noisy plastic system (the brain) where each subject embodies a particular parameterisation of that system. In this context, variability becomes an opportunity to: (i) better characterise typical versus atypical brain functions; (ii) reveal the different cognitive strategies and processing networks that can sustain similar tasks; and (iii) predict recovery capacity after brain damage by taking into account both damaged and spared processing pathways. This has many ramifications for understanding individual learning preferences and explaining the wide differences in human abilities and disabilities. Understanding variability boosts the translational potential of neuroimaging findings, in particular in clinical and educational neuroscience. A wealth of scientifically and clinically relevant information is hidden, and potentially invalidated, when data are averaged across subjects. There is growing interest in using neuroimaging to explain differences in human abilities and disabilities. Progress in this endeavour requires us to treat intersubject variability as data rather than noise. Our plastic and noisy brains intrinsically change the parameterisation of each individual’s brain, providing a rich opportunity to understand differences in brain function. Normal variability can be used to decode different neural pathways that can sustain the same task (degeneracy). This is of paramount importance for understanding why patients have variable outcomes after damage to seemingly similar brain regions.
登录
查看更多内容
影响因子：
4.3
作者：
Bressler SL;Kelso JA
通讯作者：
Kelso JA
影响因子：
34.7
作者：
Alexander-Bloch, Aaron;Giedd, Jay N.;Bullmore, Edward T.
通讯作者：
Bullmore, Edward T.
影响因子：
2.5
作者：
Cummine, Jacqueline;Gould, Layla;Borowsky, Ron
通讯作者：
Borowsky, Ron
影响因子：
2.9
作者：
Sörös P;Stanton SG
通讯作者：
Stanton SG
影响因子：
5.7
作者：
Brown GG;Mathalon DH;Stern H;Ford J;Mueller B;Greve DN;McCarthy G;Voyvodic J;Glover G;Diaz M;Yetter E;Ozyurt IB;Jorgensen KW;Wible CG;Turner JA;Thompson WK;Potkin SG;Function Biomedical Informatics Research Network
通讯作者：
Function Biomedical Informatics Research Network