Topographic patterns of white matter hyperintensities are associated with multimodal neuroimaging biomarkers of Alzheimer’s disease

Table 3 Relationships of AV45-SUVR, FDG-SUVR, and GMV with WMH at voxel level

Regression WMH with	Label	Hemisphere	Cluster		Peak of cluster
			p	Size	z value	MNI coordinates
			p	Size	z value	x	y	z
AV45-SUVR	Splenium corpus callosum^a	Left	.392	199	3.45	− 6	− 32	18
FDG-SUVR	Splenium corpus callosum^a,b	Left	.004	2321	7.37	− 4	− 33	20
	Corticospinal tract^a,b	Right	.01	1803	6.09	30	− 18	33
	Inferior occipital^a	Left	.205	361	4.28	− 20	− 87	2
	Superior frontal-occipital fasciculus^a	Right	.255	288	3.33	24	14	22
	Superior frontal-occipital fasciculus^a	Left	.173	419	3.07	− 22	3	22
GMV	Body corpus callosum^a	Both	.044	1031	7.68	0	27	4
	Anterior corona radiata^a,b	Right	< .001	6449	6.89	15	30	− 10
	Anterior corona radiata^a,b	Left	< .001	4264	6.54	− 18	33	− 8

SUVR standardized uptake value ratio, AV45 florbetapir, FDG fluorodeoxyglucose, GMV gray matter volume, MNI Montreal Neurologic Institute, TIV total intracranial volume
Results of linear regression analysis between AV45-SUVR, FDG-SUVR, and GMV and the smoothed WMH probability maps, adjusted for age, sex, education, systolic blood pressure, and TIV (only for GMV). Anatomical labels, coordinates in MNI template space, and z values of the cluster peak are provided as well as cluster p value and cluster size. ^aSignificant result at p < .005 uncorrected. ^bSignificant result at p < .005 uncorrected with family-wise error correction (p < .05) at the cluster level

ISSN: 1758-9193