Homologous specialization of arcuate fasciculus ventrolateral frontal connectivity in marmosets and humans

Y Yufan Wang (Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences) L Luqi Cheng (School of Life and Environmental Sciences, Guilin University of Electronic Technology) D Deying Li (Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences) Y Yuheng Lu (School of Biomedical Engineering, Tsinghua University) W William D. Hopkins (Department of Comparative Medicine, University of Texas MD Anderson Cancer Center) C Chet C. Sherwood (Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University) T Ting Xu C Cirong Liu (Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences) G George Paxinos (Neuroscience Research and The University of New South Wales) T Tianzi Jiang (Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences) C Congying Chu (Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences) L Lingzhong Fan (Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences)

Abstract

The arcuate fasciculus (af) is a crucial dorsal pathway underpinning human language, yet its weak frontal connectivity in macaques—the standard primate model—creates an evolutionary puzzle. Here, we investigate the common marmoset, a distantly related platyrrhine with high vocal complexity, to test for convergent neural adaptations. By integrating retrograde and anterograde tracing with ultra-high-resolution diffusion MRI, we identified a robust af homolog in marmosets that is anatomically distinct from the superior longitudinal fasciculus. Comparative mapping across marmosets, macaques, chimpanzees, and humans reveals a notable similarity in connectivity patterns: The marmoset af terminates extensively in the ventrolateral frontal cortex, exhibiting a connectivity profile significantly more similar to humans than to that of the phylogenetically closer macaque. Functionally, this pathway targets cortical regions activated during vocal exchanges, partially overlapping with the human speech network. These findings suggest that the frontal connectivity of the dorsal audio-motor pathway is not strictly determined by phylogenetic proximity but represents an evolutionarily labile scaffold that undergoes lineage-specific elaboration under pressure associated with complex vocal communication.

Article Details

Volume / Issue Vol. 123, Issue 18
Published May 05, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (12)

Y

Yufan Wang

Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences

L

Luqi Cheng

School of Life and Environmental Sciences, Guilin University of Electronic Technology

D

Deying Li

Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences

Y

Yuheng Lu

School of Biomedical Engineering, Tsinghua University

W

William D. Hopkins

Department of Comparative Medicine, University of Texas MD Anderson Cancer Center

C

Chet C. Sherwood

Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University

T

Ting Xu

C

Cirong Liu

Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences

G

George Paxinos

Neuroscience Research and The University of New South Wales

T

Tianzi Jiang

Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences

C

Congying Chu

Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences

L

Lingzhong Fan

Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences