Developmental trajectories of macroanatomical structures in common marmoset brain

Seki, Fumiko; Hikishima, Keigo; Komaki, Yuji; Hata, Junichi; Uematsu, Akiko; Okahara, Norio; Yamamoto, Masafumi; Shinohara, Haruka; Sasaki, Erika

doi:10.1016/j.neuroscience.2017.09.021

Cited by 24 publications

(19 citation statements)

References 88 publications

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“…Although GM increases before puberty are not consistently reported in humans ( Walhovd et al 2017 ), there is broad agreement that GM declines during development, whereas WM increases throughout infancy and puberty and post pubertal adolescence. This has been shown in humans ( Giedd et al 1996 ; Gogtay et al 2004 ; Shaw et al 2008 ) and more recently marmosets ( Seki et al 2017 ); and, in both species, differences in the timing of peak GM volume and rate of decline distinguish cortical brain regions. This overall pattern is also seen in the present study.…”

Section: Discussionmentioning

confidence: 76%

“…In recently published marmoset studies ( Seki et al 2017 ; Uematsu et al 2017 ) the MRI is at a lower spatial resolution than the present study and importantly a biexponential model (i.e.,

, for the volume

of a brain region at age

) is fitted to the data after removing subject effects, in contrast to the cubic spline approach used here. The biexponential growth model can only support a single turning point (at age

) with all brain structures showing rapid initial postnatal volume growth with relative stability in adulthood.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, this model is unable to capture the additional features that we have shown clearly differentiate growth patterns of primary and association areas of cortex. Other studies in the marmoset have a more limited scope, for example, focussing exclusively on corpus callosum measurements ( Sakai et al 2017 ) or gross cortical divisions ( Seki et al 2017 ).…”

Section: Discussionmentioning

confidence: 99%

“…They are an excellent primate species for neurobiological ( Oikonomidis et al 2017 ) and genetic studies ( Kishi et al 2014 ). Accordingly there have been a number of recent neuroimaging studies focusing on both prenatal and postnatal marmoset brain development ( Hikishima et al 2013 ; Seki et al 2017 ) and histological studies of postnatal developmental changes ( Bourne and Rosa 2006 ; Burman et al 2007 ; Oga et al 2013 ; Sasaki et al 2015 ). Cortical grey matter volume in the marmoset brain demonstrates a similar inverted-U sequence of increase, plateau and decrease over developmental time as previously described for macaque and human brains.…”

Section: Introductionmentioning

confidence: 99%

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Trajectories and Milestones of Cortical and Subcortical Development of the Marmoset Brain From Infancy to Adulthood

et al. 2018

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With increasing attention on the developmental causes of neuropsychiatric disorders, appropriate animal models are crucial to identifying causes and assessing potential interventions. The common marmoset is an ideal model as it has sophisticated social/emotional behavior, reaching adulthood within 2 years of birth. Magnetic resonance imaging was used in an accelerated longitudinal cohort (n = 41; aged 3–27 months; scanned 2–7 times over 2 years). Splines were used to model nonlinear trajectories of grey matter volume development in 53 cortical areas and 16 subcortical nuclei. Generally, volumes increased before puberty, peaked, and declined into adulthood. We identified 3 milestones of grey matter development: I) age at peak volume; II) age at onset of volume decline; and III) age at maximum rate of volume decline. These milestones differentiated growth trajectories of primary sensory/motor cortical areas from those of association cortex but also revealed distinct trajectories between association cortices. Cluster analysis of trajectories showed that prefrontal cortex was the most heterogenous of association regions, comprising areas with distinct milestones and developmental trajectories. These results highlight the potential of high-field structural MRI to define the dynamics of primate brain development and importantly to identify when specific prefrontal circuits may be most vulnerable to environmental impact.

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Section: Discussionmentioning

confidence: 76%

“…In recently published marmoset studies ( Seki et al 2017 ; Uematsu et al 2017 ) the MRI is at a lower spatial resolution than the present study and importantly a biexponential model (i.e.,

, for the volume

of a brain region at age

) is fitted to the data after removing subject effects, in contrast to the cubic spline approach used here. The biexponential growth model can only support a single turning point (at age

) with all brain structures showing rapid initial postnatal volume growth with relative stability in adulthood.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Trajectories and Milestones of Cortical and Subcortical Development of the Marmoset Brain From Infancy to Adulthood

et al. 2018

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“…31,32 This project aims to establish a basis for elucidation of the structure and function of the human brain to help develop new treatments for psychiatric and neurological disorders using common marmosets as an animal model. 33,34…”

Section: Introductionmentioning

confidence: 99%

MR Imaging Properties of <i>ex vivo</i> Common Marmoset Brain after Formaldehyde Fixation

Haga

Hata

Uematsu

et al. 2019

MRMS

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Purpose:Ex vivo brains have different MRI properties than in vivo brains because of chemical changes caused by fixative solutions, which change the signal intensity and/or tissue contrast on MR images. In this study, we investigated and compared the MRI properties of in vivo and ex vivo brains.Methods:Using a Bruker 9.4T experimental scanner unit for animals (Biospin GmbH, Ettlingen, Germany), we performed this study on the common marmoset. We measured the relaxation and diffusion values in the white matter and cortex of common marmosets and compared these values between in vivo brains (n = 20) and ex vivo brains (n = 20). Additionally, we observed the relationship between the tissue fixation duration and MRI properties by imaging a brain that underwent long-term fixation in a preliminary examination (n = 1).Results:The T1 values of ex vivo brains were decreased compared with those of in vivo brains; however, there were no significant difference in the T2 and T2* values of in vivo and ex vivo brains. Axial, radial, and mean diffusivity values of ex vivo brains decreased to approximately 65% and 52% of those of in vivo brains in the cortex and white matter, respectively. Conversely, fractional anisotropy values were not significantly different between in vivo and ex vivo brains.Conclusion:The T1 values and diffusion coefficient values of the ex vivo brains were strikingly different than those of the in vivo brains. Conversely, there were no significant changes in the T2, T2* or fractional anisotropy values. Altogether, the dehydration caused by tissue fixation and the reduction in brain temperature were involved in changing the relaxation and diffusion coefficient values. Here, it was difficult to specify all factors causing these changes. Further detailed study is needed to examine changes in MRI properties.

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

Ash

Chang

Ortiz

et al. 2022

Behavioural Brain Research

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Developmental trajectories of macroanatomical structures in common marmoset brain

Cited by 24 publications

References 88 publications

Trajectories and Milestones of Cortical and Subcortical Development of the Marmoset Brain From Infancy to Adulthood

Trajectories and Milestones of Cortical and Subcortical Development of the Marmoset Brain From Infancy to Adulthood

MR Imaging Properties of <i>ex vivo</i> Common Marmoset Brain after Formaldehyde Fixation

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

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