Preprint 7 Tesla MRI links poorer cognitive function to higher perivascular space burden in neuroPASC, 2026, Herb et al

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7 Tesla MRI links poorer cognitive function to higher perivascular space burden in neuroPASC

Herb, Mackenzie T.; Becker, Jacqueline H.; O’Connor, David; Perez, Matthew R.; Saju, Sera; Zhu, Yijuan; Verma, Gaurav; Jette, Nathalie; Delman, Bradley N.; Balchandani, Priti; Seifert, Alan C.

Purpose
Post-acute sequalae of SARS-CoV-2 (PASC) are associated with persistent neurological symptoms (neuroPASC). Perivascular spaces (PVS) in the brain may enlarge in the context of inflammation and vascular dysfunction, reflecting impaired glymphatic clearance, and have been linked to cognitive decline. SARS-CoV-2 may disrupt the blood-brain barrier and impair glymphatic function, contributing to PVS burden.

This study used 7 Tesla MRI to segment and quantify PVS in neuroPASC participants and uninfected comparators and examined associations with cognitive performance.

Methods
Adult participants (36 neuroPASC (44.3 ± 12.7 years) and 33 comparators (38.4 ± 13.0 years)) underwent a 7 Tesla MRI scan. White matter masks of the whole brain and four lobes were segmented, and semi-automated segmentation was used to quantify PVS count and volume.

All participants completed cognitive testing including Trails A and B sequencing tasks; neuroPASC participants also self-reported brain fog, fatigue, anxiety, and depression.

PVS count, PVS volume, and total white matter volume (WMV) between groups were compared and associations between PVS metrics and cognitive function were assessed controlling for age, sex, and intracranial volume and corrected for multiple comparisons.

Results
Among neuroPASC participants, those reporting anxiety ( p =0.009) and depression ( p =0.01) had higher WMV than those without.

Greater PVS burden was associated with worse cognitive performance in PASC, particularly processing speed (Trails A) and executive function (Trails B). Specifically, processing speed was negatively associated with whole-brain PVS count ( p-FDR = 0.008, R 2 = 0.27), frontal PVS count ( p-FDR = 0.03, R 2 = 0.25), and frontal PVS volume ( p-FDR = 0.04, R 2 = 0.23). Trails B was also negatively associated with whole-brain PVS count ( p-FDR = 0.005, R 2 = 0.26).

In comparators, higher PVS burden (volume and count) across multiple lobes was associated with worse semantic fluency (Animal Naming).

There were no other significant associations between PVS measures and neuropsychiatric tests among participants within any of the subgroups to report.

Conclusion
Although group-level differences in PVS were not observed, PVS burden was meaningfully negatively associated with cognitive performance in neuroPASC, with the strongest effects in frontal regions. These findings suggest that microvascular and glymphatic alterations may contribute to the characteristic processing speed and executive dysfunction seen in neuroPASC.

Elevated WMV in those with anxiety and depression may reflect heightened inflammatory vulnerability. PVS may serve as a sensitive imaging marker of glymphatic dysfunction and neuroinflammation in neuroPASC, offering insight into the mechanisms underlying cognitive impairment and potential intervention targets.

Web | DOI | PMC | PDF | medRxiv | Preprint
 
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Competing Interest Statement
Dr. Priti Balchandani (the lead researcher in this study) is a named inventor on patents related to magnetic resonance imaging (MRI) and RF (radiofrequency) pulse design. These patents have been filed through Stanford University and licensed to GE Healthcare, Siemens AG, and Philips International. Dr. Balchandani receives royalty payments related to these patents. A variant of these inventions may be used in the current project. In addition, Dr. Balchandani is a named inventor on additional patents related to MRI and RF techniques that have been filed through Mount Sinai and licensed to Siemens. A variant of these inventions may also be used in the current project. Dr. Alan Seifert (a researcher in this study) is the inventor of a device that improves MRI image quality. This invention is filed through Mount Sinai and it is currently unlicensed. A variant of these inventions may also be used in the current project.
 
Adult participants (36 neuroPASC (44.3 ± 12.7 years) and 33 comparators (38.4 ± 13.0 years))
We recruited 51 neuroPASC participants and 43 comparators through the Mount Sinai health system (Table 1).
Sixteen neuroPASC participants and ten comparators were excluded due to excessive motion during MRI scan.
36 + 16 = 52, not 51. One of the numbers is wrong. It’s correct for the controls.

I can’t find any info about how they measured anxiety or depression.
 
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