» Articles » PMID: 34493677

Interspecies Activation Correlations Reveal Functional Correspondences Between Marmoset and Human Brain Areas

Overview
Specialty Science
Date 2021 Sep 8
PMID 34493677
Citations 18
Authors
Affiliations
Soon will be listed here.
Abstract

The common marmoset has enormous promise as a nonhuman primate model of human brain functions. While resting-state functional MRI (fMRI) has provided evidence for a similar organization of marmoset and human cortices, the technique cannot be used to map the functional correspondences of brain regions between species. This limitation can be overcome by movie-driven fMRI (md-fMRI), which has become a popular tool for noninvasively mapping the neural patterns generated by rich and naturalistic stimulation. Here, we used md-fMRI in marmosets and humans to identify whole-brain functional correspondences between the two primate species. In particular, we describe functional correlates for the well-known human face, body, and scene patches in marmosets. We find that these networks have a similar organization in both species, suggesting a largely conserved organization of higher-order visual areas between New World marmoset monkeys and humans. However, while face patches in humans and marmosets were activated by marmoset faces, only human face patches responded to the faces of other animals. Together, the results demonstrate that higher-order visual processing might be a conserved feature between humans and New World marmoset monkeys but that small, potentially important functional differences exist.

Citing Articles

An Open Access Resource for Marmoset Neuroscientific Apparatus.

Zimmermann Rollin I, Papoti D, Bishop M, Szczupak D, Corigliano M, Hitchens T bioRxiv. 2024; .

PMID: 39605348 PMC: 11601486. DOI: 10.1101/2024.11.12.623252.


State-specific Regulation of Electrical Stimulation in the Intralaminar Thalamus of Macaque Monkeys: Network and Transcriptional Insights into Arousal.

Zhang Z, Huang Y, Chen X, Li J, Yang Y, Lv L Adv Sci (Weinh). 2024; 11(33):e2402718.

PMID: 38938001 PMC: 11434125. DOI: 10.1002/advs.202402718.


Selective activations and functional connectivities to the sight of faces, scenes, body parts and tools in visual and non-visual cortical regions leading to the human hippocampus.

Rolls E, Feng J, Zhang R Brain Struct Funct. 2024; 229(6):1471-1493.

PMID: 38839620 PMC: 11176242. DOI: 10.1007/s00429-024-02811-6.


Domestic dogs as a comparative model for social neuroscience: Advances and challenges.

Boch M, Huber L, Lamm C Neurosci Biobehav Rev. 2024; 162:105700.

PMID: 38710423 PMC: 7616343. DOI: 10.1016/j.neubiorev.2024.105700.


Noninvasive focal transgene delivery with viral neuronal tracers in the marmoset monkey.

Parks T, Szczupak D, Choi S, Schaeffer D Cell Rep Methods. 2024; 4(2):100709.

PMID: 38359822 PMC: 10921014. DOI: 10.1016/j.crmeth.2024.100709.


References
1.
Peelen M, Atkinson A, Andersson F, Vuilleumier P . Emotional modulation of body-selective visual areas. Soc Cogn Affect Neurosci. 2008; 2(4):274-83. PMC: 2566760. DOI: 10.1093/scan/nsm023. View

2.
Schaeffer D, Gilbert K, Hori Y, Gati J, Menon R, Everling S . Integrated radiofrequency array and animal holder design for minimizing head motion during awake marmoset functional magnetic resonance imaging. Neuroimage. 2019; 193:126-138. DOI: 10.1016/j.neuroimage.2019.03.023. View

3.
Epstein R, Kanwisher N . A cortical representation of the local visual environment. Nature. 1998; 392(6676):598-601. DOI: 10.1038/33402. View

4.
Pitcher D, Dilks D, Saxe R, Triantafyllou C, Kanwisher N . Differential selectivity for dynamic versus static information in face-selective cortical regions. Neuroimage. 2011; 56(4):2356-63. DOI: 10.1016/j.neuroimage.2011.03.067. View

5.
Rajimehr R, Young J, Tootell R . An anterior temporal face patch in human cortex, predicted by macaque maps. Proc Natl Acad Sci U S A. 2009; 106(6):1995-2000. PMC: 2632713. DOI: 10.1073/pnas.0807304106. View