Validation of the anisotropy index ellipsoidal area ratio in diffusion tensor imaging

Investigating the structure-function relationship of the corticomotor system early after stroke using machine learning

BACKGROUND

Motor outcomes after stroke can be predicted using structural and functional biomarkers of the descending corticomotor pathway, typically measured using magnetic resonance imaging and transcranial magnetic stimulation, respectively. However, the precise structural determinants of intact corticomotor function are unknown. Identifying structure-function links in the corticomotor pathway could provide valuable insight into the mechanisms of post-stroke motor impairment. This study used supervised machine learning to classify upper limb motor evoked potential status using MRI metrics obtained early after stroke.

METHODS

Retrospective data from 91 patients (49 women, age 35-97 years) with moderate to severe upper limb weakness within a week after stroke were included in this study. Support vector machine classifiers were trained using metrics from T1- and diffusion-weighted MRI to classify motor evoked potential status, empirically measured using transcranial magnetic stimulation.

RESULTS

Support vector machine classification of motor evoked potential status was 81% accurate, with false positives more common than false negatives. Important structural MRI metrics included diffusion anisotropy asymmetry in the supplementary and pre-supplementary motor tracts, maximum cross-sectional lesion overlap in the sensorimotor tract and ventral premotor tract, and mean diffusivity asymmetry in the posterior limbs of the internal capsule.

INTERPRETATIONS

MRI measures of corticomotor structure are good but imperfect predictors of corticomotor function. Residual corticomotor function after stroke depends on both the extent of cross-sectional macrostructural tract damage and preservation of white-matter microstructural integrity. Analysing the corticomotor pathway using a multivariable MRI approach across multiple tracts may yield more information than univariate biomarker analyses.

A diffusion tensor imaging study of brain microstructural changes related to religion and spirituality in families at high risk for depression

INTRODUCTION

Previously in a three-generation study of families at high risk for depression, we found that belief in the importance of religion/spirituality (R/S) was associated with thicker cortex in bilateral parietal and occipital regions. In the same sample using functional magnetic resonance imaging and electroencephalograph (EEG), we found that offspring at high familial risk had thinner cortices, increased default mode network connectivity, and reduced EEG power. These group differences were significantly diminished in offspring at high risk who reported high importance of R/S beliefs, suggesting a protective effect.

METHODS

This study extends previous work examining brain microstructural differences associated with risk for major depressive disorder (MDD) and tests whether these are normalized in at-risk offspring who report high importance of R/S beliefs. Diffusion tensor imaging (DTI) data were selected from 99 2nd and 3rd generation offspring of 1st generation depressed (high-risk, HR) or nondepressed (low-risk, LR) parents. Whole-brain and region-of-interest analyses were performed, using ellipsoidal area ratio (EAR, an alternative diffusion anisotropy index comparable to fractional anisotropy). We examined microstructural differences associated with familial risk for depression within the groups of high and low importance of R/S beliefs (HI, LI).

RESULTS

In the LI group, HR individuals showed significantly decreased EAR in white matter regions neighboring the precuneus, superior parietal lobe, superior and middle frontal gyrus, and bilateral insula, supplementary motor area, and postcentral gyrus. In the HI group, HR individuals showed reduced EAR in white matter surrounding the left superior, and middle frontal gyrus, left superior parietal lobule, and right supplementary motor area. Microstructural differences associated with familial risk for depression in precuneus, frontal lobe, and temporal lobe were nonsignificant or less significant in the HI group.

CONCLUSION

R/S beliefs may affect microstructure in brain regions associated with R/S, potentially conferring resilience to depression among HR individuals.

PET molecular imaging to investigate higher brain dysfunction in patients with neurotrauma

INTRODUCTION

Many neurotrauma patients suffer from higher brain dysfunction even when focal brain damage is not detected with MRI. We performed functional imaging with positron emission tomography (PET) to clarify the relationship between the functional deficit and symptoms of such patients.

METHODS

Patients who complain of higher brain dysfunction without apparent morphological cortical damage were recruited. Thirteen patients underwent PET study to image glucose metabolism by (18)F-FDG, and central benzodiazepine receptor (cBZD-R) by (11)C-flumazenil, together with measurement of cognition.

RESULTS

Diffuse axonal injury (DAI) patients have a significant decrease in glucose metabolism and cBZD-R distribution in the cingulated cortex than normal controls. Score of cognition test was variable among patients. The degree of decreased glucose metabolism and cBZD-R in the dominant hemisphere corresponded well to the severity of cognitive disturbance. Patients with a milder type of diffuse brain injury (i.e., cerebral concussion) also showed abnormal glucose metabolism and cBZD-R distribution when they suffered from cognitive deficit.

CONCLUSION

PET molecular imaging was useful for depicting the cortical dysfunction of neurotrauma patients even when morphological change was not apparent. This method may be promising in clarifying the pathophysiology of higher brain dysfunction of patients with neurotrauma, but without morphological abnormality.

Regional variation, hemispheric asymmetries and gender differences in pericortical white matter

Brain white matter tissue composition can be quantified using Diffusion Tensor Imaging (DTI) and Magnetization Transfer Imaging (MTI). Fractional Anisotropy (FA), derived from DTI, indexes the integrity, density and organization of axons. Magnetization Transfer Ratio (MTR), derived from MTI, indexes to the presence of cell membranes and myelin. The combined use of FA and MTR provides a more complete picture of white matter structure than either imaging modality in isolation. Here we describe the regional distribution of FA and MTR measurements of pericortical white matter in 56 young, healthy right-handed subjects. Significant regional and lobar differences are seen for both measures along with a significant gender difference in FA. Highly consistent hemispheric asymmetries in FA and MTR were observed, suggesting that the greater fiber coherence and increased myelination of fibers in left hemisphere perisylvian regions may provide a structural basis for left-hemisphere language dominance.