The effect of pre-body donor quizzes on student performance in a hybrid anatomy course.

Learning human anatomy is essential for Doctor of Physical Therapy (DPT) education. Body donors are traditionally utilized to understand content, but in a hybrid learning environment, students have limited time to use body donors. To improve body donor access and learning, we created online synchronous pre-body donor activities. The impact of these online strategies on students' subsequent exams and final grade were investigated in a non-randomized, observational study. These activities were hypothesized to positively influence students' anatomy performance. In a 16-week semester, DPT students (case [n = 91], control [n = 22]) participated in a hybrid program of asynchronous/synchronous online learning and two in-person immersions. Measures included student course grades and teaching surveys. Spearman's rho correlations analyzed the relationship between four pre-body donor quizzes to body donor exams, written exams, and final course grade. Mann-Whitney U tests assessed differences in grades between cohorts. A linear regression model examined the influence of pre-body donor quizzing on exams/final grades. Correlation tests revealed a strong relationship between the average pre-body donor quiz score and both the first written exam and final course grade (p = 0.0001). The case group achieved significantly higher scores than the control group on the first in-person body donor exam (p = 0.011), the second written exam (p = 0.0001), and the final grade (p = 0.004). The pre-body donor quizzes predicted performance on the subsequent in-person body donor exams, written exams, and the final grade. Implementation of online pre-body donor learning activities was associated with increased academic performance among hybrid DPT students and may aid in learning anatomy concepts for clinical practice.

Structurofunctional resting-state networks correlate with motor function in chronic stroke.

PURPOSE: Motor function and recovery after stroke likely rely directly on the residual anatomical connections in the brain and its resting-state functional connectivity. Both structural and functional properties of cortical networks after stroke are revealed using multimodal magnetic resonance imaging (MRI). Specifically, functional connectivity MRI (fcMRI) can extract functional networks of the brain at rest, while structural connectivity can be estimated from white matter fiber orientations measured with high angular-resolution diffusion imaging (HARDI). A model that marries these two techniques may be the key to understanding functional recovery after stroke. In this study, a novel set of voxel-level measures of structurofunctional correlations (SFC) was developed and tested in a group of chronic stroke subjects. METHODS: A fully automated method is presented for modeling the structure-function relationship of brain connectivity in individuals with stroke. Brains from ten chronic stroke subjects and nine age-matched controls were imaged with a structural T1-weighted scan, resting-state fMRI, and HARDI. Each subject's T1-weighted image was nonlinearly registered to a T1-weighted 152-brain MNI template using a local histogram-matching technique that alleviates distortions caused by brain lesions. Fractional anisotropy maps and mean BOLD images of each subject were separately registered to the individual's T1-weighted image using affine transformations. White matter fiber orientations within each voxel were estimated with the q-ball model, which approximates the orientation distribution function (ODF) from the diffusion-weighted measurements. Deterministic q-ball tractography was performed in order to obtain a set of fiber trajectories. The new structurofunctional correlation method assigns each voxel a new BOLD time course based on a summation of its structural connections with a common fiber length interval. Then, the voxel's original time-course was correlated with this fiber-distance BOLD signal to derive a novel structurofunctional correlation coefficient. These steps were repeated for eight fiber distance intervals, and the maximum of these correlations was used to define an intrinsic structurofunctional correlation (iSFC) index. A network-based SFC map (nSFC) was also developed in order to enhance resting-state functional networks derived from conventional functional connectivity analyses. iSFC and nSFC maps were individually compared between stroke subjects and controls using a voxel-based two-tailed Student's t-test (alpha = 0.01). A linear regression was also performed between the SFC metrics and the Box and Blocks Score, a clinical measure of arm motor function. RESULTS: Significant decreases (p < 0.01) in iSFC were found in stroke subjects within functional hubs of the brain, including the precuneus, prefrontal cortex, posterior parietal cortex, and cingulate gyrus. Many of these differences were significantly correlated with the Box and Blocks Score. The nSFC maps of prefrontal networks in control subjects revealed localized increases within the cerebellum, and these enhancements were diminished in stroke subjects. This finding was further supported by a reduction in functional connectivity between the prefrontal cortex and cerebellum. Default-mode network nSFC maps were higher in the contralesional hemisphere of lower-functioning stroke subjects. CONCLUSION: The results demonstrate that changes after a stroke in both intrinsic and network-based structurofunctional correlations at rest are correlated with motor function, underscoring the importance of residual structural connectivity in cortical networks.

Sex Differences in Neuromuscular Fatigability of the Knee Extensors Post-Stroke.

BACKGROUND AND PURPOSE: Despite the implications of optimizing strength training post-stroke, little is known about the differences in fatigability between men and women with chronic stroke. The purpose of this study was to determine the sex differences in knee extensor muscle fatigability and potential mechanisms in individuals with stroke. METHODS: Eighteen participants (10 men, eight women) with chronic stroke (≥6 months) and 23 (12 men, 11 women) nonstroke controls participated in the study. Participants performed an intermittent isometric contraction task (6 s contraction, 3 s rest) at 30% of maximal voluntary contraction (MVC) torque until failure to maintain the target torque. Electromyography was used to determine muscle activation and contractile properties were assessed with electrical stimulation of the quadriceps muscles. RESULTS: Individuals with stroke had a briefer task duration (greater fatigability) than nonstroke individuals (24.1 ± 17 min vs. 34.9 ± 16 min). Men were more fatigable than women for both nonstroke controls and individuals with stroke (17.9 ± 9 min vs. 41.6 ± 15 min). Individuals with stroke had less fatigue-related changes in muscle contractile properties and women with stroke differed in their muscle activation strategy during the fatiguing contractions. CONCLUSIONS: Men and women fatigue differently post-stroke and this may be due to the way they neurally activate muscle groups.