Language processing following childhood poverty: Evidence for disrupted neural networks

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2024-04-18 DOI:10.1016/j.bandl.2024.105414
Suzanne C. Perkins , S. Shaun Ho , Gary W. Evans , Israel Liberzon , Meroona Gopang , James E. Swain
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Abstract

Childhood poverty is related to deficits in multiple cognitive domains including adult language function. It is unknown if the brain basis of language is disrupted in adults with childhood poverty backgrounds, controlling for current functioning. Fifty-one adults (age 24) from an existing longitudinal study of childhood poverty, beginning at age 9, were examined on behavioral phonological awareness (LP) and completed an event-related fMRI speech/print processing LP task. Adults from childhood poverty backgrounds exhibited lower LP in adulthood. The middle-income group exhibited greater activation of the bilateral IFG and hippocampus during language processing. In psychophysiological interaction (PPI) analyses, the childhood poverty group exhibited greater coupling between ventral Broca’s and the middle temporal gyrus (MTG) as well as coupling between Wernicke’s region and bilateralization. Childhood poverty disrupts language processing neural networks in adulthood, after controlling for LP, suggesting that poverty in childhood influences the neurophysiological basis for language processing into adulthood.

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童年贫困后的语言处理:神经网络紊乱的证据
童年贫困与包括成人语言功能在内的多个认知领域的缺陷有关。在控制当前功能的情况下,具有贫困童年背景的成年人的大脑语言基础是否会受到破坏,目前还不得而知。我们对现有的一项儿童贫困纵向研究中的 51 名成人(24 岁)(从 9 岁开始)进行了行为语音意识(LP)检查,并完成了一项与事件相关的 fMRI 语音/文字处理 LP 任务。来自贫困童年背景的成年人在成年后表现出较低的语音意识。中等收入组在语言处理过程中表现出更大的双侧 IFG 和海马激活。在心理生理学交互作用(PPI)分析中,童年贫困组表现出腹侧布洛卡区和颞中回(MTG)之间更强的耦合,以及韦尼克区和双侧化之间的耦合。童年时期的贫困会破坏成年后的语言处理神经网络,这表明童年时期的贫困会影响成年后语言处理的神经生理基础。
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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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