Won Jeong

Novel diffusion tensor imaging methodology to detect and quantify injured regions and affected brain pathways in traumatic brain injury

PURPOSE To develop and apply diffusion tensor imaging (DTI)-based normalization methodology for the detection and quantification of sites of traumatic brain injury (TBI) and the impact of injury along specific brain pathways in (a) individual TBI subjects and (b) a TBI group. MATERIALS AND METHODS Normalized DTI tractography was conducted in the native space of 12 TBI and 10 age-matched control subjects using the same number of seeds in each subject, distributed at anatomically equivalent locations. Whole-brain tracts from the control group were mapped onto the head of each TBI subject. Differences in the fractional anisotropy (FA) maps between each TBI subject and the control group were computed in a common space using a t test, transformed back to the individual TBI subjects head space, and thresholded to form regions of interest (ROIs) that were used to sort tracts from the control group and the individual TBI subject. Tract counts for a given ROI in each TBI subject were compared to group mean for the same ROI to quantify the impact of injury along affected pathways. The same procedure was used to compare the TBI group to the control group in a common space. RESULTS Sites of injury within individual TBI subjects and affected pathways included hippocampal/fornix, inferior fronto-occipital, inferior longitudinal fasciculus, corpus callosum (genu and splenium), cortico-spinal tracts and the uncinate fasciculus. Most of these regions were also detected in the group study. CONCLUSIONS The DTI normalization methodology presented here enables automatic delineation of ROIs within the heads of individual subjects (or in a group). These ROIs not only localize and quantify the extent of injury, but also quantify the impact of injury on affected pathways in an individual or in a group of TBI subjects.

Congruence of happy and sad emotion in music and faces modifies cortical audiovisual activation.

BACKGROUND The powerful emotion inducing properties of music are well-known, yet music may convey differing emotional responses depending on environmental factors. We hypothesized that neural mechanisms involved in listening to music may differ when presented together with visual stimuli that conveyed the same emotion as the music when compared to visual stimuli with incongruent emotional content. METHODS We designed this study to determine the effect of auditory (happy and sad instrumental music) and visual stimuli (happy and sad faces) congruent or incongruent for emotional content on audiovisual processing using fMRI blood oxygenation level-dependent (BOLD) signal contrast. The experiment was conducted in the context of a conventional block-design experiment. A block consisted of three emotional ON periods, music alone (happy or sad music), face alone (happy or sad faces), and music combined with faces where the music excerpt was played while presenting either congruent emotional faces or incongruent emotional faces. RESULTS We found activity in the superior temporal gyrus (STG) and fusiform gyrus (FG) to be differentially modulated by music and faces depending on the congruence of emotional content. There was a greater BOLD response in STG when the emotion signaled by the music and faces was congruent. Furthermore, the magnitude of these changes differed for happy congruence and sad congruence, i.e., the activation of STG when happy music was presented with happy faces was greater than the activation seen when sad music was presented with sad faces. In contrast, incongruent stimuli diminished the BOLD response in STG and elicited greater signal change in bilateral FG. Behavioral testing supplemented these findings by showing that subject ratings of emotion in faces were influenced by emotion in music. When presented with happy music, happy faces were rated as more happy (p=0.051) and sad faces were rated as less sad (p=0.030). When presented with sad music, happy faces were rated as less happy (p=0.008) and sad faces were rated as sadder (p=0.002). INTERPRETATION Happy-sad congruence across modalities may enhance activity in auditory regions while incongruence appears to impact the perception of visual affect, leading to increased activation in face processing regions such as the FG. We suggest that greater understanding of the neural bases of happy-sad congruence across modalities can shed light on basic mechanisms of affective perception and experience and may lead to novel insights in the study of emotion regulation and therapeutic use of music.

Abnormal language pathway in children with Angelman syndrome.

Angelman syndrome is a genetic disorder characterized by pervasive developmental disability with failure to develop speech. We examined the basis for severe language delay in patients with Angelman syndrome by diffusion tensor imaging. Magnetic resonance imaging/diffusion tensor imaging was performed in 7 children with genetically confirmed Angelman syndrome (age 70 ± 26 months, 5 boys) and 4 age-matched control children to investigate the microstructural integrity of arcuate fasciculus and other major association tracts. Six of 7 children with Angelman syndrome had unidentifiable left arcuate fasciculus, while all control children had identifiable arcuate fasciculus. The right arcuate fasciculus was absent in 6 of 7 children with Angelman syndrome and 1 of 4 control children. Diffusion tensor imaging color mapping suggested aberrant morphology of the arcuate fasciculus region. Other association tracts, including uncinate fasciculus, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, and corticospinal tract, were identifiable but manifested decreased fractional anisotropy in children with Angelman syndrome. Increased apparent diffusion coefficient was seen in all tracts except uncinate fasciculus when compared to control children. Patients with Angelman syndrome have global impairment of white matter integrity in association tracts, particularly the arcuate fasciculus, which reveals severe morphologic changes. This finding could be the result of a potential problem with axon guidance during brain development, possibly due to loss of UBE3A gene expression.

Differentiation of Cancerous Lesions in Excised Human Breast Specimens Using Multiband Attenuation Profiles From Ultrasonic Transmission Tomography

This study examines the tissue differentiation capability of the recently developed high‐resolution ultrasonic transmission tomography (HUTT) system in the context of differentiating between benign and malignant tissue types in mastectomy specimens.

Evaluating the arcuate fasciculus with combined diffusion-weighted MRI tractography and electrocorticography

The conventional model of language‐related brain structure describing the arcuate fasciculus as a key white matter tract providing a direct connection between Wernickes region and Brocas area has been called into question. Specifically, the inferior precentral gyrus, possessing both primary motor (Brodmann Area [BA] 4) and premotor cortex (BA 6), has been identified as a potential alternative termination. The authors initially localized cortical sites involved in language using measurement of event‐related gamma‐activity on electrocorticography (ECoG). The authors then determined whether language‐related sites of the temporal lobe were connected, via white matter structures, to the inferior frontal gyrus more tightly than to the precentral gyrus. The authors found that language‐related sites of the temporal lobe were far more likely to be directly connected to the inferior precentral gyrus through the arcuate fasciculus. Furthermore, tractography was a significant predictor of frontal language‐related ECoG findings. Analysis of an interaction between anatomy and tractography in this model revealed tractrography to have the highest predictive value for language‐related ECoG findings of the precentral gyrus. This study failed to support the conventional model of language‐related brain structure. More feasible models should include the inferior precentral gyrus as a termination of the arcuate fasciculus. The exact functional significance of direct connectivity between temporal language‐related sites and the precentral gyrus requires further study. Hum Brain Mapp 35:2333–2347, 2014.

Sharp Curvature of Frontal Lobe White Matter Pathways in Children with Autism Spectrum Disorders: Tract-Based Morphometry Analysis

These authors had previously observed abnormalities in the frontal white matter tracts in autistic children and decided to investigate the curvature of these tracts. Thirty-four autistic and 14 control children were imaged and curvature, fractional anisotropy, and axial and radial diffusivity were assessed in 3 frontal lobe fiber tracts. Higher curvatures were found in autistic subjects than in controls. The authors propose that their findings may be the result of thinner axons in these locations. For more on neural phenotyping of autistic brains, see the Jou et al article. It is becoming clear that white matter tract arrangement and neuronal connectivity may be an important substrate of autism. BACKGROUND AND PURPOSE: Because we had previously observed geometric changes of frontal lobe association pathways in children with ASD, in the present study we analyzed the curvature of these white matter pathways by using an objective TBM analysis. MATERIALS AND METHODS: Diffusion tensor imaging was performed in 32 children with ASD and 14 children with typical development. Curvature, FA, AD, and RD of bilateral AF, UF, and gCC were investigated by using the TBM group analysis assessed by PFDR for multiple comparisons. RESULTS: Significantly higher curvatures were found in children with ASD, especially at the parietotemporal junction for AF (left, PFDR < .001; right, PFDR < .01), at the frontotemporal junction for UF (left, PFDR < .005; right, PFDR < .03), and at the midline of the gCC (PFDR < .0001). RD was significantly higher in children with ASD at the same bending regions of AF (left, PFDR < .03, right, PFDR < .02), UF (left, PFDR < .04), and gCC (PFDR < .01). CONCLUSIONS: Higher curvature and curvature-dependent RD changes in children with ASD may be the result of higher attenuation of thinner axons in these frontal lobe tracts.

Thalamocortical Connectivity in Healthy Children: Asymmetries and Robust Developmental Changes between Ages 8 and 17 Years

BACKGROUND AND PURPOSE: Thalamocortical connections play a crucial role in complex cognitive functioning, and several neuropsychiatric disorders may involve aberrant thalamocortical circuitry. Here, we quantified the cortical pattern and age-related changes of thalamocortical connections by using probabilistic tractography in children and adolescents. We hypothesized that detectable asymmetry (left>right) exists in thalamocortical fiber connections and the connectivity increases with age during maturation. MATERIALS AND METHODS: Diffusion tensor imaging was acquired in 15 normally developing children (age range, 8.3–17.3 years; 11 males), and fiber tracking was initiated from the thalami. The cortical distribution of ipsilateral thalamocortical fibers was quantified by using a landmark-constrained conformal mapping technique. Furthermore, hemispheric asymmetries and potential age-related changes in regional thalamocortical connections were assessed. RESULTS: The left thalamus had significantly higher overall cortical connectivity than the right thalamus (P < .001). Left prefrontal cortical areas showed significantly higher thalamic connectivity compared with homotopic regions of the right hemisphere (P < .001), regardless of the applied parameters. There was an increase of overall thalamocortical connectivity with age, with the most pronounced age-related increases in bilateral prefrontal areas (P < .002). However, thalamic connectivity of some other cortical regions (right sensorimotor, left inferior temporal) showed a decrease with age. CONCLUSIONS: Our results indicate a region-specific left>right asymmetry and robust developmental changes in thalamocortical (particularly thalamo-prefrontal) connectivity during late childhood and adolescence. These data further add to our knowledge about structural lateralizations and their development in the maturing brain.

Relationship between aberrant brain connectivity and clinical features in Angelman Syndrome: A new method using tract based spatial statistics of DTI color-coded orientation maps

AIM In order to relate brain structural abnormalities to clinical features of Angelman Syndrome (AS), we determined the locations of abnormal regional white matter architecture in AS children using a sensitive and objective whole brain approach to analyze diffusion tensor imaging (DTI) color-coded orientation maps. METHODS Using tract based spatial statistics (TBSS) of DTI color-coded orientation maps, the fraction of fibers oriented in the anteroposterior (AP), mediolateral (ML) and superioinferior (SI) directions were determined in whole brain white matter of 7 children with AS (mean age: 70±25.78 months, 5 males) and 7 children with typical development (TD, mean age: 79.8±17.25 months, 4 males). TBSS of FA map was also performed for comparison. RESULTS Children with AS had a significantly lower AP component than the TD group in 9 clusters (3 bilateral and 3 unilateral). Bilateral clusters were located in inferior fronto-occipital fasciculus, anterior thalamic radiation and arcuate fasciculus regions. Unilateral clusters involved left brainstem, left cingulum and right uncinate regions. Similarly, children with AS had significantly lower ML component than the TD group in 4 clusters (2 in corpus callosum and 2 unilateral clusters). Unilateral clusters were located in the left cingulum and left anterior thalamic radiation regions. SI component was lower in children with AS in two clusters compared to TD (corticospinal tract and corpus callosum). FA map clusters mostly corresponded with component clusters. INTERPRETATION Children with AS have a global impairment of white matter integrity including AP, ML and SI components in whole brain suggesting a potential underlying error with axon guidance mechanisms during brain development possibly due to loss of UBE3A gene expression. Some of this aberrant connectivity can be related to the clinical features of AS.

Aberrant Diffusion and Geometric Properties in the Left Arcuate Fasciculus of Developmentally Delayed Children: A Diffusion Tensor Imaging Study

BACKGROUND AND PURPOSE: One of the neurologic substrates of poor language in children with DD is the abnormal development of perisylvian language networks. We sought to determine whether this manifests as aberrant regional changes in diffusivity or geometry of the left AF. MATERIALS AND METHODS: We performed DTI studies in 16 young (age, 55.4 ± 18.95 months) patients with DD and 11 age- and sex-matched TD children (age, 60.09 ± 21.27 months). All children were right-handed. To detect the malformation of left AF structure in native or standard space, we proposed new methodology consisting of 2 complementary approaches, principal fiber orientation quantification in color-coded anisotropic maps and tract-based morphometry analysis. RESULTS: Patients with DD did not show the typical pattern of age-related maturity of the AP and ML pathways passing through the left AF (R2 of the AP pathway: DD versus TD = 0.002 versus 0.4542; R2 of the ML pathway: DD versus TD = 0.002 versus 0.4154). In addition, the patients with DD showed significantly reduced FA in the temporal portion of the AF (mean FA of DD versus TD = 0.37 ± 0.11 versus 0.48 ± 0.06, P < .001), and the AF showed higher curvatures in the parietotemporal junction, resulting in sharper bends to the Wernicke area (mean curvature of DD versus TD = 0.12 ± 0.03 versus 0.06 ± 0.02, P < .001). CONCLUSIONS: The proposed methods successfully revealed regional abnormalities in the axonal integrity of the left AF in the patients with DD. These abnormalities support the notion that the perisylvian language network is malformed in children with DD.

High-Resolution 3-D Imaging and Tissue Differentiation with Transmission Tomography

A three-dimensional High-resolution Ultrasonic Transmission Tomography (HUTT) system has been developed recently under the sponsorship of the Alfred Mann Institute at the University of Southern California that holds the promise of early detection of breast cancer (mm-size lesions) with greater sensitivity (true positives) and specificity (true negatives) than current x-ray mammograghy. In addition to sub-mm resolution in 3-D, the HUTT system has the unique capability of reliable tissue classification by means of the frequency-dependent attenuation characteristics of individual voxels that are extracted from the tomographic data through novel signal processing methods. These methods yield “multi-band signatures” of the various tissue types that are utilized to achieve reliable tissue differentiation via novel segmentation and classification algorithms. The unparalleled high-resolution and tissue differentiation capabilities of the HUTT system have been demonstrated so far with man-made and animal-tissue phantoms. Illustrative results are presented that corroborate these claims, although several challenges remain to make HUTT a clinically acceptable technology. The next critical step is to collect and analyze data from human subjects (female breasts) in order to demonstrate the key capability of the HUTT system to detect breast lesions early (at the mm-size stage) and to differentiate between malignant and benign lesions in a manner that is far superior (in terms of sensitivity and specificity) to the current x-ray mammography. The key initial application of the HUTT imaging technology is envisioned to be the early (at the mm-size) detection of breast cancer, which represents a major threat to the well-being of women around the world. The potential impact is estimated in hundreds of thousands lives saved, millions of unnecessary biopsies avoided, and billions of dollars saved in national health-care costs every year – to say nothing of the tens of thousands of relieved Radiologists worldwide, who will finally have at their disposal a reliable and effective diagnostic tool for early detection of breast cancer. Numerous other potential applications of this medical imaging technology are possible, following proper adjustments to the specific scanning requirements of each particular application