Background and Purpose Post-stroke cognitive impairment (PSCI) is typified by prominent deficits in processing speed and executive function. However, the underlying neuroanatomical substrates of executive deficits are not well understood and further elucidation is needed. There may be utility in fractionating executive functions to delineate neural substrates. Methods One test amenable to fine delineation is the Trail Making Test (TMT), which emphasizes processing speed (TMT-A) and set-shifting (TMT-B-A difference, proportion, quotient scores and TMT-B set-shifting errors). The TMT was administered to two overt ischemic stroke cohorts from a multinational study: (i) a chronic stroke cohort (N=61) and (ii) an acute-sub-acute stroke cohort (N=45). Volumetric quantification of ischemic stroke and White Matter HyperIntensities (WMH) was done on MRI, along with ratings of involvement of cholinergic projections, using the previously published Cholinergic Hyperintensities Projections Scale (CHIPS). Damage to the superior longitudinal fasciculus (SLF), which co-localizes with some cholinergic projections, was also documented. Results Multiple linear regression analyses were completed. While larger infarcts (β=0.37, p<0.0001) were associated with slower processing speed, CHIPS severity (β=0.39, p<0.0001) was associated with all metrics of set shifting. Left SLF damage, however, was only associated with the difference score (β=0.17, p=0.03). These findings were replicated in both cohorts. Patients with ≥2 TMT-B set shifting errors also had greater CHIPS severity. Conclusions In this multinational stroke cohort study, damage to lateral cholinergic pathways and the SLF emerged as significant neuroanatomical correlates for executive deficits in set shifting.

Cerebral White Matter Hyperintensities (WMH) are associated with vascular risk factors and age-related cognitive decline. WMH have primarily been associated with global white matter and gray matter (GM) changes and less is known about regional effects in GM. The purpose of this study was to test for an association between WMH and two GM imaging measures: cerebral blood flow (CBF) and voxel-based morphometry (VBM). Twenty-six elderly adults with mild to severe WMH participated in this cross-sectional 3 Tesla magnetic resonance imaging (MRI) study. MRI measures of GM CBF and VBM were derived from arterial spin labeling (ASL) and T1-weighted images, respectively. Fluid-attenuated inversion recovery (FLAIR) images were used to quantify the WMH lesion burden (mL). GM CBF and VBM data were used as dependent variables. WMH lesion burden, age and sex were used in a regression model. Visual rating of WMH with the Fazekas method was used to compare the WMH lesion volume regression approach. WMH volume was normally distributed for this group (mean volume of 22.7 mL, range: 2.2–70.6 mL). CBF analysis revealed negative associations between WMH volume and CBF in the left anterior putamen, subcallosal, accumbens, anterior caudate, orbital frontal, anterior insula, and frontal pole (corrected p < 0.05). VBM analysis revealed negative associations between WMH and GM volume in lingual gyrus, intracalcarine, and bilateral hippocampus (corrected p < 0.05). The visual rating scale corroborated the regression findings (corrected p < 0.05). WMH lesion volume was associated with intra-group GM CBF and structural differences in this cohort of WMH adults with mild to severe lesion burden.