About Makliya Mamat
Research Interests
My research is in theoretical neuroscience, studying the structure, function, and dynamics of the brain. I am interested in the principles underlying how complex neural networks give rise to cognition and behavior.
I have primarily worked on quantifying cortical complexity through fractal dimension analysis and integrated neuroimaging transcriptomics to link molecular signatures with structural changes across brain regions. My research connects neuroscience, mathematics, and computational methods.
Currently, I am working on the characteristics of graph topological properties of morphometric brain networks.
More about the research.
Conference
Mamat, M., Li, L., Chen, Y. Cortical structural changes of morphometric inverse divergence network in autism spectrum disorder and their associated transcriptional signatures. Poster Presentation at the Annual Meeting of Chinese Neuroscience Society (CNS). September 2024, Suzhou, Jiangsu. Poster
Mamat, M., Chen, Y., Wen, Shen., Li, L. Cortical complexity changes are associated with gene expression patterns in autism spectrum disorder. Oral presentation at the International Society for Magnetic Resonance in Medicine (ISMRM) Endorsed Workshop on MR for Psychiatry. July 2024, Chengdu, Sichuan.
Mamat, M., Li, L., Chen, Y. Exploring fractal dimension and cognition relationship, genetic underpinnings of FD-based network in the human brain. Oral Presentation at the Chinese Society for Anatomical Sciences (CSAS) 37th Annual Conference. July 2023, Chengdu, Sichuan.
Attended: Beijing Brain Conference (2024), Visiting The Brain Cognition and Brain Disease Institute of Chinese Academy Sciences (2024), China Computer Federation Symposium (2023)
Publications
Mamat, M., Chen, Y., Shen, W. & Li, L. (2024). Molecular architecture of the altered cortical complexity in autism. Molecular Autism (In review). BioRxiv. https://doi.org/10.1101/2024.07.28.605533
Mamat, M., Wang, Z., Jin, L., He, K., Li, L. & Chen, Y. (2024). Beyond nodes and edges: A bibliometric analysis on graph theory and neuroimaging modalities. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2024.1373264
Mamat, M., Li, L., Kang, S., & Chen, Y. (2024). Emerging trends on the anatomy teaching reforms in the last 10 years: Based on VOSviewer and CiteSpace. Anatomical sciences education. https://doi.org/10.1002/ase.2405
Chen, C., Mamat, M., & Yu, R. (2023). Analysis of the anti-tumor effect and molecular mechanism of inducing apoptosis of CB-5083 in prostate cancer cells. Modern practical medicine. doi:10.3969/j.issn.16710800.2023.03.004
Grants and Awards
ISMRM Endorsed Workshop Young Investigator Award (July 2024)
Jiang Xinghao Research Grant for Excellence (June 2024)
Jiang Xinghao Research Achievement Award (May 2024)
Teaching Research Key Project Fund (Mar 2024)
Research and Innovation Program Grant (May 2023)
Languages
English, French, Chinese, Uyghur
Computer – MATLAB, R, Python
