Additional file 1 of The neural substrates of transdiagnostic cognitive-linguistic heterogeneity in primary progressive aphasia
Creators: name: Ramanan, Siddharth
name: Halai, Ajay D.
name: Garcia-Penton, Lorna
name: Perry, Alistair G.
name: Patel, Nikil
name: Peterson, Katie A.
name: Ingram, Ruth U.
name: Storey, Ian
name: Cappa, Stefano F.
name: Catricala, Eleonora
name: Patterson, Karalyn
name: Rowe, James B.
name: Garrard, Peter
name: Ralph, Matthew A. Lambon
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Neuroscience
subject: Sociology
subject: FOS: Sociology

description: Additional file 1: Supplementary Figure 1. Root-mean-squared-error (RMSE) values derived from four-fold cross-validated (CV) component selection algorithm with venetian blind sampling on behavioural data. Findings suggest that a 4-component solution holds, on average, the lowest RMSE values across 10 iterations of the algorithm. Values &gt;2.975 are truncated for plotting. Supplementary Figure 2. Eigenvalues for each component derived from varimax PCA solution on behavioural data in PPA patients. Eigenvalues indicated, rounded to two decimal points. PCA=principal component analysis; PPA=primary progressive aphasia. Supplementary Figure 3. Component-specific (yellow) and cumulative variance (blue) explained by the varimax PCA solution on behavioural data in PPA patients. Variance explained amount indicated on top of each bar. PCA=principal component analysis; PPA=primary progressive aphasia. Supplementary Figure 4. VBM analyses of whole-brain grey matter atrophy. Panels indicate regions of significant grey matter intensity reduction in each PPA group compared to Controls. Coloured voxels indicate regions that emerged significant in the VBM analyses at p&lt;.05 corrected for Family-Wise Error with a cluster threshold of 100 contiguous voxels. Age, total intracranial volume and testing site were included as covariates in all analyses. Clusters are overlaid on the MNI standard brain with x, y, and z co-ordinates reported in MNI standard space. For each cluster, corresponding t-values and more details can be found in Supplementary Table 2. L=Left; svPPA=semantic variant primary progressive aphasia; nfvPPA=nonfluent variant primary progressive aphasia; lvPPA=logopenic variant primary progressive aphasia. Supplementary Figure 5. Network-based statistics of whole-brain streamline connectivity and fractional anisotropy changes in PPA relative to Controls. Spheres represent nodes from the AAL-116 atlas. Connections represent t-values (all surviving pfwe&lt;.05) with thicker lines indicating larger t-values. For Streamline Connectivity, all t-values exceed 1691.6 for svPPA vs. Controls, 1785.8 for nfvPPA vs. Controls, and 1951.5 for lvPPA vs. Controls. For Fractional Anisotropy, all t-values exceed 4311.1 for svPPA vs. Controls, 3889.2 for nfvPPA vs. Controls, and 3302.9 for lvPPA vs. Controls. Age and testing site were included as covariates in all analyses. L=Left; lvPPA=logopenic variant primary progressive aphasia; nfvPPA=nonfluent variant primary progressive aphasia; svPPA=semantic variant primary progressive aphasia. Supplementary Figure 6. Network-based statistics of whole-brain streamline connectivity and fractional anisotropy changes between PPA patients. Spheres represent nodes from the AAL-116 atlas. Connections represent t-values (all surviving pfwe&lt;.05) with thicker lines indicating larger t-values. For Streamline Connectivity, all t-values exceed 2934.9 for svPPA