Distinctive whole-brain cell types predict tissue damage patterns in thirteen neurodegenerative conditions

  1. Veronika Pak
  2. Quadri Adewale
  3. Danilo Bzdok
  4. Mahsa Dadar
  5. Yashar Zeighami
  6. Yasser Iturria-Medina  Is a corresponding author
  1. Department of Neurology and Neurosurgery, McGill University, Canada
  2. McConnell Brain Imaging Centre, Montreal Neurological Institute, Canada
  3. Ludmer Centre for Neuroinformatics & Mental Health, Canada
  4. Department of Biomedical Engineering, McGill University, Canada
  5. School of Computer Science, McGill University, Canada
  6. Mila – Quebec Artificial Intelligence Institute, Canada
  7. The Douglas Research Center, Canada
  8. McGill Centre for Studies in Aging, Canada
3 figures and 4 additional files

Figures

Schematic approach for whole-brain cell type proportions vulnerability analysis in neurodegeneration.

(A) Microarray bulk gene expression levels in the Allen Human Brain Atlas (AHBA) were derived from 3072 distinct tissue samples of six postmortem healthy human brains. Missing gene expression data …

Spatial associations between tissue integrity and cell type proportions for 13 neurodegenerative conditions illustrated in the scatterplots and surface maps (left hemisphere; lateral view) of regional measures.

(A–M) Strongest Spearman’s correlations for early-onset Alzheimer’s disease (EOAD), late-onset Alzheimer’s disease (LOAD), dementia with Lewy bodies (DLB), presenilin-1 (PS1), FTLD-3Rtau, …

Figure 3 with 1 supplement
Cell and disorder similarities based on shared distributions.

(A) Dendrogram and unsupervised hierarchical clustering heatmap of Spearman’s correlations between cell type proportions and atrophy patterns across the 13 neurodegenerative conditions. (B) …

Figure 3—figure supplement 1
Spatial associations between tissue integrity and cell type proportions for 13 neurodegenerative conditions in the gray matter (GM) regions defined by the Desikan–Killiany–Tourville (DKT) parcellation.

Additional files

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