Literature DB >> 35595058

Structural and functional variations in the prefrontal cortex are associated with learning in pre-adolescent common marmosets (Callithrix jacchus).

Hayley Ash1, Arnold Chang2, Richard J Ortiz3, Praveen Kulkarni2, Beth Rauch4, Ricki Colman5, Craig F Ferris2, Toni E Ziegler6.   

Abstract

There is substantial evidence linking the prefrontal cortex (PFC) to a variety of cognitive abilities, with adolescence being a critical period in its development. In the current study, we investigated the neural basis of differences in learning in pre-adolescent common marmosets. At 8 months old, marmosets were given anatomical and resting state MRI scans (n = 24). At 9 months old, association learning and inhibitory control was tested using a 'go/no go' visual discrimination (VD) task. Marmosets were grouped into 'learners' (n = 12) and "non-learners" (n = 12), and associations between cognitive performance and sub-regional PFC volumes, as well as PFC connectivity patterns, were investigated. "Learners" had significantly (p < 0.05) larger volumes of areas 11, 25, 47 and 32 than 'non-learners', although 'non-learners' had significantly larger volumes of areas 24a and 8 v than "learners". There was also a significant correlation between average % correct responses to the 'punished' stimulus and volume of area 47. Further, 'non-learners' had significantly greater global PFC connections, as well as significantly greater numbers of connections between the PFC and basal ganglia, cerebellum and hippocampus, compared to 'learners'. These results suggest that larger sub-regions of the orbitofrontal cortex and ventromedial PFC, as well more refined PFC connectivity patterns to other brain regions associated with learning, may be important in successful response inhibition. This study therefore offers new information on the neurodevelopment of individual differences in cognition during pre-adolescence in non-human primates.
Copyright © 2022. Published by Elsevier B.V.

Entities:  

Keywords:  Brain volume; Development; Learning; Marmoset; Prefrontal cortex; Resting state functional connectivity

Mesh:

Year:  2022        PMID: 35595058      PMCID: PMC9362994          DOI: 10.1016/j.bbr.2022.113920

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.352


  125 in total

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Journal:  Neuroimage       Date:  2013-01-26       Impact factor: 6.556

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4.  Encoding predictive reward value in human amygdala and orbitofrontal cortex.

Authors:  Jay A Gottfried; John O'Doherty; Raymond J Dolan
Journal:  Science       Date:  2003-08-22       Impact factor: 47.728

5.  Monoamine levels within the orbitofrontal cortex and putamen interact to predict reversal learning performance.

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Journal:  Biol Psychiatry       Date:  2013-01-16       Impact factor: 13.382

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Authors:  Carl E Schwartz; Pratap S Kunwar; Douglas N Greve; Lyndsey R Moran; Jane C Viner; Jennifer M Covino; Jerome Kagan; S Evelyn Stewart; Nancy C Snidman; Mark G Vangel; Stuart R Wallace
Journal:  Arch Gen Psychiatry       Date:  2010-01

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Authors:  Robin L Aupperle; Andrew J Melrose; Alex Francisco; Martin P Paulus; Murray B Stein
Journal:  Hum Brain Mapp       Date:  2014-09-15       Impact factor: 5.038

8.  Anatomical and functional investigation of the marmoset default mode network.

Authors:  Cirong Liu; Cecil Chern-Chyi Yen; Diego Szczupak; Frank Q Ye; David A Leopold; Afonso C Silva
Journal:  Nat Commun       Date:  2019-04-29       Impact factor: 14.919

9.  A connectional hub in the rostral anterior cingulate cortex links areas of emotion and cognitive control.

Authors:  Wei Tang; Saad Jbabdi; Ziyi Zhu; Michiel Cottaar; Giorgia Grisot; Julia F Lehman; Anastasia Yendiki; Suzanne N Haber
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10.  Trajectories and Milestones of Cortical and Subcortical Development of the Marmoset Brain From Infancy to Adulthood.

Authors:  S J Sawiak; Y Shiba; L Oikonomidis; C P Windle; A M Santangelo; H Grydeland; G Cockcroft; E T Bullmore; A C Roberts
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