ASL MRI informs blood flow to chronic stroke lesions in patients with aphasia

• Authors: Lisa Krishnamurthy, Emory University; Clara Glassman, Atlanta VA Health Care System; Joo H Han, Atlanta VA Health Care System; Serena E Song, Atlanta VA Health Care System; Chanse Denmon, Atlanta VA Health Care System; Maryanne Weatherill, Atlanta VA Health Care System; Amy D Rodriguez, Emory University; Bruce Crosson, Emory University; Venkatagiri Krishnamurthy, Emory University
• Journal Title: FRONTIERS IN PHYSIOLOGY
• Volume: Volume 14
• Publisher: FRONTIERS MEDIA SA | 2023-07-20, Pages 1240992-1240992
• Type of Work: Article | Final Publisher PDF
• Publisher DOI: http://doi.org/10.3389/fphys.2023.1240992
• Subjects: Biology, Physiology; Biology, Neuroscience; Health Sciences, Radiology; Physics, Astronomy and Astrophysics; Health Sciences, Medicine and Surgery
• Keywords: Science & Technology; Life Sciences & Biomedicine; Physiology; chronic stroke lesion; cerebral blood flow; TIGR MRI; brain-behavior maps; stroke rehabilitation targets; TO-NOISE RATIO; SPATIAL-RESOLUTION; PERFUSION; FMRI; RECOVERY; ANOMIA; MODEL

Abstract

Introduction: Response to post-stroke aphasia language rehabilitation is difficult to anticipate, mainly because few predictors can help identify optimal, individualized treatment options. Imaging techniques, such as Voxel-based Lesion Symptom Mapping have been useful in linking specific brain areas to language behavior; however, further development is required to optimize the use of structural and physiological information in guiding individualized treatment for persons with aphasia (PWA). In this study, we will determine if cerebral blood flow (CBF) mapped in patients with chronic strokes can be further used to understand stroke-related factors and behavior. Methods: We collected perfusion MRI data using pseudo-Continuous Arterial Spin Labeling (pCASL) using a single post-labeling delay of 2,200 ms in 14 chronic PWA, along with high-resolution structural MRI to compute maps of tissue damage using Tissue Integrity Gradation via T2w T1w Ratio (TIGR). To quantify the CBF in chronic stroke lesions, we tested at what point spatial smoothing should be applied in the ASL analysis pipeline. We then related CBF to tissue damage, time since stroke, age, sex, and their respective cross-terms to further understand the variability in lesion CBF. Finally, we assessed the feasibility of computing multivariate brain-behavior maps using CBF and compared them to brain-behavior maps extracted with TIGR MRI. Results: We found that the CBF in chronic stroke lesions is significantly reduced compared to its homologue grey and white matter regions. However, a reliable CBF signal (although smaller than expected) was detected to reveal a negative relationship between CBF and increasing tissue damage. Further, the relationship between the lesion CBF and age, sex, time since stroke, and tissue damage and cross-terms suggested an aging-by-disease interaction. This relationship was strongest when smoothing was applied in the template space. Finally, we show that whole-brain CBF relates to domain-general visuospatial functioning in PWA. The CBF-based brain-behavior maps provide unique and complementary information to structural (lesion-based) brain-behavior maps. Discussion: Therefore, CBF can be detected in chronic stroke lesions using a standard pCASL MRI acquisition and is informative at the whole-brain level in identifying stroke rehabilitation targets in PWAs due to its relationship with demographic factors, stroke-related factors, and behavior.