Outputs (3)

Accelerated brain ageing during the COVID-19 pandemic (2025)
Journal Article
Mohammadi-Nejad, A.-R., Craig, M., Cox, E., Chen, X., Jenkins, R. G., Francis, S., Sotiropoulos, S. N., & Auer, D. P. (2025). Accelerated brain ageing during the COVID-19 pandemic. Nature Communications, 16, Article 6411. https://doi.org/10.1038/s41467-025-61033-4

Abstract
The impact of SARS-CoV-2 and the COVID-19 pandemic on brain health is recognised, yet specific effects remain understudied. We investigate the pandemic’s impact on brain ageing using longitudinal neuroimaging data from the UK Biobank. Brain... Read More about Accelerated brain ageing during the COVID-19 pandemic.

White Matter Microstructural Alterations in Type 2 Diabetes: A Combined UK Biobank Study of Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging (2025)
Journal Article
Alotaibi, A., Alqarras, M., Podlasek, A., Almanaa, A., AlTokhis, A., Aldhebaib, A., Aldebasi, B., Almutairi, M., Tench, C. R., Almanaa, M., Mohammadi-Nejad, A.-R., Constantinescu, C. S., Dineen, R. A., & Lee, S. (2025). White Matter Microstructural Alterations in Type 2 Diabetes: A Combined UK Biobank Study of Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging. Medicina, 61(3), Article 455. https://doi.org/10.3390/medicina61030455

Background and objectives:

Type 2 diabetes mellitus (T2DM) affects brain white matter microstructure. While diffusion tensor imaging (DTI) has been used to study white matter abnormalities in T2DM, it lacks specificity for complex white matter tr... Read More about White Matter Microstructural Alterations in Type 2 Diabetes: A Combined UK Biobank Study of Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging.

On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations (2024)
Journal Article
Helmer, M., Warrington, S., Mohammadi-Nejad, A.-R., Ji, J. L., Howell, A., Rosand, B., Anticevic, A., Sotiropoulos, S. N., & Murray, J. D. (2024). On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations. Communications Biology, 7(1), Article 217. https://doi.org/10.1038/s42003-024-05869-4

Associations between datasets can be discovered through multivariate methods like Canonical Correlation Analysis (CCA) or Partial Least Squares (PLS). A requisite property for interpretability and generalizability of CCA/PLS associations is stability... Read More about On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations.