scholarly journals Cognitive control of orofacial and vocal responses in the human frontal cortex

2019 ◽  
Author(s):  
Kep Kee Loh ◽  
Emmanuel Procyk ◽  
Remi Neveu ◽  
Franck Lamberton ◽  
William Hopkins ◽  
...  

AbstractThe frontal cortical areas critical for human speech production, i.e. the ventrolateral frontal cortex (cytoarchitectonic areas 44 and 45; VLF) and the dorsomedial frontal cortex (DMF) comprising the mid-cingulate cortex (MCC) and the pre-supplementary motor area (preSMA), exist in non-human primates and are implicated in cognitive vocal control functions. The present functional neuroimaging study seeks to define the basic roles of these VLF-DMF network regions in primate vocal production and how they might have been adapted for human speech. We demonstrate that area 44 and the MCC are respectively involved in the cognitive selection of orofacial, non-speech vocal and verbal responses, and the feedback-driven adaptation of these responses – roles that are likely preserved across primates. In contrast, area 45 and preSMA have roles that are specific to human speech: area 45 contributes to active verbal retrieval during learning, while preSMA is involved in processing verbal feedback during orofacial/vocal adaptations.

2020 ◽  
Vol 117 (9) ◽  
pp. 4994-5005 ◽  
Author(s):  
Kep Kee Loh ◽  
Emmanuel Procyk ◽  
Rémi Neveu ◽  
Franck Lamberton ◽  
William D. Hopkins ◽  
...  

In the primate brain, a set of areas in the ventrolateral frontal (VLF) cortex and the dorsomedial frontal (DMF) cortex appear to control vocalizations. The basic role of this network in the human brain and how it may have evolved to enable complex speech remain unknown. In the present functional neuroimaging study of the human brain, a multidomain protocol was utilized to investigate the roles of the various areas that comprise the VLF–DMF network in learning rule-based cognitive selections between different types of motor actions: manual, orofacial, nonspeech vocal, and speech vocal actions. Ventrolateral area 44 (a key component of the Broca’s language production region in the human brain) is involved in the cognitive selection of orofacial, as well as, speech and nonspeech vocal responses; and the midcingulate cortex is involved in the analysis of speech and nonspeech vocal feedback driving adaptation of these responses. By contrast, the cognitive selection of speech vocal information requires this former network and the additional recruitment of area 45 and the presupplementary motor area. We propose that the basic function expressed by the VLF–DMF network is to exert cognitive control of orofacial and vocal acts and, in the language dominant hemisphere of the human brain, has been adapted to serve higher speech function. These results pave the way to understand the potential changes that could have occurred in this network across primate evolution to enable speech production.


2018 ◽  
Vol 18 ◽  
pp. 325-334 ◽  
Author(s):  
Jian Kong ◽  
Zengjian Wang ◽  
Jaclyn Leiser ◽  
Domenic Minicucci ◽  
Robert Edwards ◽  
...  

2001 ◽  
Vol 11 ◽  
pp. S282-S283
Author(s):  
D. Marazziti ◽  
I. Masala ◽  
G. Giannaccini ◽  
E. Di Nasso ◽  
L. Betti ◽  
...  

Life Sciences ◽  
1999 ◽  
Vol 65 (22) ◽  
pp. 2315-2323 ◽  
Author(s):  
Hiroki Ozawa ◽  
Wataru Ukai ◽  
Johannes Kornhuber ◽  
Takafumi Yamaguchi ◽  
Lutz Froelich ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ellis Patrick ◽  
Marta Olah ◽  
Mariko Taga ◽  
Hans-Ulrich Klein ◽  
Jishu Xu ◽  
...  

AbstractMicroglial dysfunction has been proposed as one of the many cellular mechanisms that can contribute to the development of Alzheimer’s disease (AD). Here, using a transcriptional network map of the human frontal cortex, we identify five modules of co-expressed genes related to microglia and assess their role in the neuropathologic features of AD in 540 subjects from two cohort studies of brain aging. Two of these transcriptional programs—modules 113 and 114—relate to the accumulation of β-amyloid, while module 5 relates to tau pathology. We replicate these associations in brain epigenomic data and in two independent datasets. In terms of tau, we propose that module 5, a marker of activated microglia, may lead to tau accumulation and subsequent cognitive decline. We validate our model further by showing that three representative module 5 genes (ACADVL, TRABD, and VASP) encode proteins that are upregulated in activated microglia in AD.


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