Perisylvian language networks of the human brain

作者
Marco Catani,Derek K. Jones,Dominic ffytche
出处
期刊:Annals of Neurology [Wiley]
卷期号:57 (1): 8-16 被引量:1864
标识
DOI:10.1002/ana.20319
摘要

Early anatomically based models of language consisted of an arcuate tract connecting Broca's speech and Wernicke's comprehension centers; a lesion of the tract resulted in conduction aphasia. However, the heterogeneous clinical presentations of conduction aphasia suggest a greater complexity of perisylvian anatomical connections than allowed for in the classical anatomical model. This article re-explores perisylvian language connectivity using in vivo diffusion tensor magnetic resonance imaging tractography. Diffusion tensor magnetic resonance imaging data from 11 right-handed healthy male subjects were averaged, and the arcuate fasciculus of the left hemisphere reconstructed from this data using an interactive dissection technique. Beyond the classical arcuate pathway connecting Broca's and Wernicke's areas directly, we show a previously undescribed, indirect pathway passing through inferior parietal cortex. The indirect pathway runs parallel and lateral to the classical arcuate fasciculus and is composed of an anterior segment connecting Broca's territory with the inferior parietal lobe and a posterior segment connecting the inferior parietal lobe to Wernicke's territory. This model of two parallel pathways helps explain the diverse clinical presentations of conduction aphasia. The anatomical findings are also relevant to the evolution of language, provide a framework for Lichtheim's symptom-based neurological model of aphasia, and constrain, anatomically, contemporary connectionist accounts of language.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xiaoniuma发布了新的文献求助10
刚刚
曲戈完成签到,获得积分10
1秒前
Orange应助张小小采纳,获得10
1秒前
wy发布了新的文献求助20
1秒前
Ava应助鸡毛菜采纳,获得10
2秒前
李健的小迷弟应助李麟采纳,获得10
2秒前
滚滚完成签到,获得积分10
2秒前
Mic应助朴素爆米花采纳,获得10
2秒前
可爱的函函应助柠檬采纳,获得10
3秒前
Yeah发布了新的文献求助10
3秒前
4秒前
4秒前
清城发布了新的文献求助10
4秒前
4秒前
酷波er应助任性的如南采纳,获得10
4秒前
想飞的猪发布了新的文献求助10
4秒前
5秒前
5秒前
乐乐应助莉子采纳,获得30
5秒前
陈皮糖完成签到 ,获得积分10
6秒前
6秒前
MSYzack发布了新的文献求助10
6秒前
7秒前
7秒前
天天快乐应助Run采纳,获得10
9秒前
9秒前
雨晴发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
Owen应助HUAMIAO采纳,获得10
10秒前
zzz应助此时此刻采纳,获得10
10秒前
10秒前
英俊的铭应助欣喜代秋采纳,获得10
10秒前
jingcheng发布了新的文献求助10
11秒前
稽TR完成签到,获得积分10
11秒前
11秒前
xiaoniuma完成签到,获得积分10
12秒前
13秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7609644
求助须知:如何正确求助?哪些是违规求助? 9185254
关于积分的说明 19676167
捐赠科研通 7183281
什么是DOI,文献DOI怎么找? 3270272
关于科研通互助平台的介绍 2433970
邀请新用户注册赠送积分活动 2264783