A unified neurocognitive model of semantics language social behaviour and face recognition in semantic dementia

Junhua Ding, Keliang Chen, Haoming Liu, Lin Huang, Yan Chen, Yingru Lv, Qing Yang, Qihao Guo (), Zaizhu Han () and Matthew. A. Lambon Ralph ()
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Junhua Ding: Beijing Normal University
Keliang Chen: Huashan Hospital, Fudan University
Haoming Liu: Ca’ Foscari University of Venice
Lin Huang: Shanghai Jiaotong University Affiliated Sixth People’s Hospital
Yan Chen: Beijing Normal University
Yingru Lv: Huashan Hospital, Fudan University
Qing Yang: Huashan Hospital, Fudan University
Qihao Guo: Shanghai Jiaotong University Affiliated Sixth People’s Hospital
Zaizhu Han: Beijing Normal University
Matthew. A. Lambon Ralph: University of Cambridge

Nature Communications, 2020, vol. 11, issue 1, 1-14

Abstract: Abstract The anterior temporal lobes (ATL) have become a key brain region of interest in cognitive neuroscience founded upon neuropsychological investigations of semantic dementia (SD). The purposes of this investigation are to generate a single unified model that captures the known cognitive-behavioural variations in SD and map these to the patients’ distribution of frontotemporal atrophy. Here we show that the degree of generalised semantic impairment is related to the patients’ total, bilateral ATL atrophy. Verbal production ability is related to total ATL atrophy as well as to the balance of left > right ATL atrophy. Apathy is found to relate positively to the degree of orbitofrontal atrophy. Disinhibition is related to right ATL and orbitofrontal atrophy, and face recognition to right ATL volumes. Rather than positing mutually-exclusive sub-categories, the data-driven model repositions semantics, language, social behaviour and face recognition into a continuous frontotemporal neurocognitive space.

Date: 2020
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DOI: 10.1038/s41467-020-16089-9

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