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Dive into the research topics where Tyler M. Seibert is active.

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Featured researches published by Tyler M. Seibert.


Radiology | 2012

Interregional Correlations in Parkinson Disease and Parkinson-related Dementia with Resting Functional MR Imaging

Tyler M. Seibert; Elizabeth Murphy; Erik J. Kaestner; James B. Brewer

PURPOSE To apply a recently developed native-space (or native-surface) method to compare resting functional magnetic resonance (MR) imaging correlations (functional connectivity) measured in patients with Parkinson-related dementia (PRD) to those measured in cognitively unimpaired, age-matched control subjects with or without Parkinson disease (PD). MATERIALS AND METHODS The study was approved by the institutional review board and complied with HIPAA regulations. Participants included cognitively unimpaired elderly individuals (n = 19), cognitively unimpaired patients with PD (n = 19), and patients with PRD (n = 18). Resting functional MR data were assessed by calculating correlation coefficients between blood oxygen level-dependent time series of a seed region and of other regions of interest selected a priori. Two seeds were used: a medial parietal region that contributes to the default network affected in Alzheimer disease and the caudate, which is affected by loss of dopaminergic inputs in PD. Correlation analyses were performed in the native space of individual subjects to avoid confounds from transformation to an average brain. Two-sample t tests were applied to data from each native-surface region of interest, and vertex-wise comparisons were made by using two-sample t tests at each vertex on the group surface; statistical results were corrected for multiple comparisons. Cortical thickness and striatal volumes were also compared across groups for the regions of interest. RESULTS Corticostriatal functional correlations were decreased in PRD patients relative to elderly control subjects in bilateral prefrontal regions; largest difference was observed in the right caudal middle frontal region (r = 0.48 in PRD patients and 0.81 in elderly control subjects, uncorrected P = .001). Conversely, there was no significant difference across groups in the strength of default-network correlations. There was also no significant difference across groups in cortical thickness or striatal volume. CONCLUSION PRD was associated with selective disruption of corticostriatal resting functional MR imaging correlations, which suggests that resting functional MR imaging analyzed in subject-native space may be a useful biomarker in this disease. Additionally, at least in the present cohort, this technique was more sensitive to PRD changes than was quantitative structural MR imaging.


NeuroImage | 2012

Stability of resting fMRI interregional correlations analyzed in subject-native space: A one-year longitudinal study in healthy adults and premanifest Huntington's disease

Tyler M. Seibert; D. S. Adnan Majid; Adam R. Aron; Jody Corey-Bloom; James B. Brewer

The pattern of interregional functional MRI correlations at rest is being actively considered as a potential noninvasive biomarker in multiple diseases. Before such methods can be used in clinical studies it is important to establish their usefulness in three ways. First, the long-term stability of resting correlation patterns should be characterized, but there have been very few such studies. Second, analysis of resting correlations should account for the unique neuroanatomy of each subject by taking measurements in native space and avoiding transformation of functional data to a standard volume space (e.g., Talairach-Tournox or Montreal Neurological Institute atlases). Transformation to a standard volume space has been shown to variably influence the measurement of functional correlations, and this is a particular concern in diseases which may cause structural changes in the brain. Third, comparisons within the patient population of interest and comparisons between patients and age-matched controls, should demonstrate sensitivity to any disease-related disruption of resting functional correlations. Here we examine the test-retest stability of resting fMRI correlations over a period of one year in a group of healthy adults and in a group of cognitively intact individuals who are gene-positive for Huntingtons disease. A recently-developed method is used to measure functional correlations in the native space of individual subjects. The utility of resting functional correlations as a biomarker in premanifest Huntingtons disease is also investigated. Results in control and premanifest Huntingtons populations were both highly consistent at the group level over one year. We thus show that when resting fMRI analysis is performed in native space (to reduce confounds in registration between subjects and groups) it has good long-term stability at the group level. Individual-subject level results were less consistent between visit 1 and visit 2, suggesting further work is required before resting fMRI correlations can be useful diagnostically for individual patients. No significant effect of premanifest Huntingtons disease on prespecified interregional fMRI correlations was observed relative to the control group using either baseline or longitudinal measures. Within the premanifest Huntingtons group, though, there was evidence that decreased striatal functional correlations might be associated with disease severity, as gauged by estimated years to symptom onset or by striatal volume.


International Journal of Radiation Oncology Biology Physics | 2016

Dose-Dependent Cortical Thinning After Partial Brain Irradiation in High-Grade Glioma.

Roshan Karunamuni; Hauke Bartsch; Nathan S. White; Vitali Moiseenko; Ruben Carmona; D.C. Marshall; Tyler M. Seibert; Carrie R. McDonald; Nikdokht Farid; A. Krishnan; Joshua M. Kuperman; Loren K. Mell; James B. Brewer; Anders M. Dale; Jona A. Hattangadi-Gluth

PURPOSE Radiation-induced cognitive deficits may be mediated by tissue damage to cortical regions. Volumetric changes in cortex can be reliably measured using high-resolution magnetic resonance imaging (MRI). We used these methods to study the association between radiation therapy (RT) dose and change in cortical thickness in high-grade glioma (HGG) patients. METHODS AND MATERIALS We performed a voxel-wise analysis of MRI from 15 HGG patients who underwent fractionated partial brain RT. Three-dimensional MRI was acquired pre- and 1 year post RT. Cortex was parceled with well-validated segmentation software. Surgical cavities were censored. Each cortical voxel was assigned a change in cortical thickness between time points, RT dose value, and neuroanatomic label by lobe. Effects of dose, neuroanatomic location, age, and chemotherapy on cortical thickness were tested using linear mixed effects (LME) modeling. RESULTS Cortical atrophy was seen after 1 year post RT with greater effects at higher doses. Estimates from LME modeling showed that cortical thickness decreased by -0.0033 mm (P<.001) for every 1-Gy increase in RT dose. Temporal and limbic cortex exhibited the largest changes in cortical thickness per Gy compared to that in other regions (P<.001). Age and chemotherapy were not significantly associated with change in cortical thickness. CONCLUSIONS We found dose-dependent thinning of the cerebral cortex, with varying neuroanatomical regional sensitivity, 1 year after fractionated partial brain RT. The magnitude of thinning parallels 1-year atrophy rates seen in neurodegenerative diseases and may contribute to cognitive decline following high-dose RT.


Journal of Cognitive Neuroscience | 2010

Going their separate ways: Dissociation of hippocampal and dorsolateral prefrontal activation during episodic retrieval and post-retrieval processing

Sarah L. Israel; Tyler M. Seibert; Michelle L. Black; James B. Brewer

Hippocampal activity is modulated during episodic memory retrieval. Most consistently, a relative increase in activity during confident retrieval is observed. Dorsolateral prefrontal cortex (DLPFC) is also activated during retrieval, but may be more generally activated during cognitive-control processes. The “default network,” regions activated during rest or internally focused tasks, includes the hippocampus, but not DLPFC. Therefore, DLPFC and the hippocampus should diverge during difficult tasks suppressing the default network. It is unclear, however, whether a difficult episodic memory retrieval task would suppress the default network due to difficulty or activate it due to internally directed attention. We hypothesized that a task requiring episodic retrieval followed by rumination on the retrieved item would increase DLPFC activity, but paradoxically reduce hippocampal activity due to concomitant suppression of the default network. In the present study, blocked and event-related fMRI were used to examine hippocampal activity during episodic memory recollection and postretrieval processing of paired associates. Subjects were asked to make living/nonliving judgments about items visually presented (classify) or items retrieved from memory (recall–classify). Active and passive baselines were used to differentiate task-related activity from default-network activity. During the “recall–classify” task, anterior hippocampal activity was selectively reduced relative to “classify” and baseline tasks, and this activity was inversely correlated with DLPFC. Reaction time was positively correlated with DLPFC activation and default-network/hippocampal suppression. The findings demonstrate that frontal and hippocampal activity are dissociated during difficult episodic retrieval tasks and reveal important considerations for interpreting hippocampal activity associated with successful episodic retrieval.


NeuroImage | 2011

Parietal activity in episodic retrieval measured by fMRI and MEG

Tyler M. Seibert; Sarah I. Gimbel; Donald J. Hagler; James B. Brewer

Understanding the functional role of the left lateral parietal cortex in episodic retrieval requires characterization of both spatial and temporal features of activity during memory tasks. In a recent study using magnetoencephalography (MEG), we described an early parietal response in a cued-recall task. This response began within 100 milliseconds (ms) of the retrieval cue and lasted less than 400 ms. Spatially, the effect reached significance in all three anatomically defined left lateral parietal subregions included in the study. Here we present a multimodal analysis of both hemodynamic and electrophysiologic responses in the same cued-recall paradigm. Functional MRI (fMRI) was used to more precisely reveal the portion of the parietal cortex with the greatest response. The MEG data set was then reanalyzed to show the early MEG time course of the region identified by fMRI. We found that the hemodynamic response is greatest within the intraparietal sulcus. Further, the MEG pattern in this region shows a strong response during the first 300 ms following the cue to retrieve. Finally, when individual-dipole MEG activity is analyzed for the left cortical surface over the early 300-millisecond time window, significant recall-related activity is limited to a relatively small portion of the left hemisphere that overlaps the region identified by fMRI in the intraparietal sulcus.


Radiotherapy and Oncology | 2016

Dose-dependent white matter damage after brain radiotherapy

Michael Connor; Roshan Karunamuni; Carrie R. McDonald; Nathan S. White; Niclas Pettersson; Vitali Moiseenko; Tyler M. Seibert; D.C. Marshall; L Cervino; Hauke Bartsch; Joshua M. Kuperman; Vyacheslav Murzin; Anitha Priya Krishnan; Nikdokht Farid; Anders M. Dale; Jona A. Hattangadi-Gluth

BACKGROUND AND PURPOSE Brain radiotherapy is limited in part by damage to white matter, contributing to neurocognitive decline. We utilized diffusion tensor imaging (DTI) with multiple b-values (diffusion weightings) to model the dose-dependency and time course of radiation effects on white matter. MATERIALS AND METHODS Fifteen patients with high-grade gliomas treated with radiotherapy and chemotherapy underwent MRI with DTI prior to radiotherapy, and after months 1, 4-6, and 9-11. Diffusion tensors were calculated using three weightings (high, standard, and low b-values) and maps of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (λ∥), and radial diffusivity (λ⊥) were generated. The region of interest was all white matter. RESULTS MD, λ∥, and λ⊥ increased significantly with time and dose, with corresponding decrease in FA. Greater changes were seen at lower b-values, except for FA. Time-dose interactions were highly significant at 4-6months and beyond (p<.001), and the difference in dose response between high and low b-values reached statistical significance at 9-11months for MD, λ∥, and λ⊥ (p<.001, p<.001, p=.005 respectively) as well as at 4-6months for λ∥ (p=.04). CONCLUSIONS We detected dose-dependent changes across all doses, even <10Gy. Greater changes were observed at low b-values, suggesting prominent extracellular changes possibly due to vascular permeability and neuroinflammation.


Radiotherapy and Oncology | 2016

Radiation sparing of cerebral cortex in brain tumor patients using quantitative neuroimaging

Roshan Karunamuni; K Moore; Tyler M. Seibert; Nan Li; Nathan S. White; Hauke Bartsch; Ruben Carmona; D.C. Marshall; Carrie R. McDonald; Nikdokht Farid; A. Krishnan; Joshua M. Kuperman; Loren K. Mell; James B. Brewer; Anders M. Dale; Vitali Moiseenko; Jona A. Hattangadi-Gluth

BACKGROUND AND PURPOSE Neurocognitive decline in brain tumor patients treated with radiotherapy (RT) may be linked to cortical atrophy. We developed models to determine radiation treatment-planning objectives for cortex, which were tested on a sample population to identify the dosimetric cost of cortical sparing. MATERIAL AND METHODS The relationship between the probability of cortical atrophy in fifteen high-grade glioma patients at 1-year post-RT and radiation dose was fit using logistic mixed effects modeling. Cortical sparing was implemented using two strategies: region-specific sparing using model parameters, and non-specific sparing of all normal brain tissue. RESULTS A dose threshold of 28.6 Gy was found to result in a 20% probability of severe atrophy. Average cortical sparing at 30 Gy was greater for region-specific dose avoidance (4.6%) compared to non-specific (3.6%). Cortical sparing resulted in an increase in heterogeneity index of the planning target volume (PTV) with an average increase of 1.9% (region-specific) and 0.9% (non-specific). CONCLUSIONS We found RT doses above 28.6 Gy resulted in a greater than 20% probability of cortical atrophy. Cortical sparing can be achieved using region-specific or non-specific dose avoidance strategies at the cost of an increase in the dose heterogeneity of the PTV.


Human Brain Mapping | 2011

Early parietal response in episodic retrieval revealed with MEG.

Tyler M. Seibert; Donald J. Hagler; James B. Brewer

Recent neuroimaging and lesion studies have led to competing hypotheses for potential roles of the left lateral parietal lobe in episodic memory retrieval. These hypotheses may be dissociated by whether they imply a role in preretrieval or postretrieval processes. For example, one hypothesis is the left parietal cortex (particularly in more ventral subregions) forms part of an “episodic buffer” that supports the online representation of the retrieved target, a role that is, by definition, postretrieval. An alternate view maintains parietal activity (particularly in more dorsal subregions) contributes to top‐down orientation of attention to retrieval search, a preretrieval role. The present investigation seeks to reveal the earliest onset of lateral parietal activity in three anatomically‐defined subregions of the left lateral parietal cortex to identify any preretrieval activation. Subjects performed a pair‐cued recall task while neural activity was recorded with magnetoencephalography (MEG) at millisecond temporal resolution. MEG data were then mapped to each subjects cortical surface using dynamic statistical parametric mapping (dSPM). Both dorsal and ventral regions showed retrieval‐related activations beginning within ∼100 ms of the cue to retrieve and lasting up to 400 ms. We conclude that this early and transient pattern of activity in lateral parietal cortex is most consistent with a preretrieval role, possibly in directing attention to episodic memory retrieval. Hum Brain Mapp, 2011.


Journal of Magnetic Resonance Imaging | 2017

Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI.

Ryan L. Brunsing; Natalie M. Schenker-Ahmed; Nathan S. White; J. Kellogg Parsons; Christopher J. Kane; Joshua M. Kuperman; Hauke Bartsch; Andrew Karim Kader; Rebecca Rakow-Penner; Tyler M. Seibert; Daniel Margolis; Steven S. Raman; Carrie R. McDonald; Nikdokht Farid; Santosh Kesari; Donna E. Hansel; Ahmed Shabaik; Anders M. Dale; David S. Karow

Restriction spectrum imaging (RSI) is a novel diffusion‐weighted MRI technique that uses the mathematically distinct behavior of water diffusion in separable microscopic tissue compartments to highlight key aspects of the tissue microarchitecture with high conspicuity. RSI can be acquired in less than 5 min on modern scanners using a surface coil. Multiple field gradients and high b‐values in combination with postprocessing techniques allow the simultaneous resolution of length‐scale and geometric information, as well as compartmental and nuclear volume fraction filtering. RSI also uses a distortion correction technique and can thus be fused to high resolution T2‐weighted images for detailed localization, which improves delineation of disease extension into critical anatomic structures. In this review, we discuss the acquisition, postprocessing, and interpretation of RSI for prostate MRI. We also summarize existing data demonstrating the applicability of RSI for prostate cancer detection, in vivo characterization, localization, and targeting.


Radiotherapy and Oncology | 2017

Regional susceptibility to dose-dependent white matter damage after brain radiotherapy

Michael Connor; Roshan Karunamuni; Carrie R. McDonald; Tyler M. Seibert; Nathan S. White; Vitali Moiseenko; Hauke Bartsch; Nikdokht Farid; Joshua M. Kuperman; Anitha Priya Krishnan; Anders M. Dale; Jona A. Hattangadi-Gluth

BACKGROUND AND PURPOSE Regional differences in sensitivity to white matter damage after brain radiotherapy (RT) are not well-described. We characterized the spatial heterogeneity of dose-response across white matter tracts using diffusion tensor imaging (DTI). MATERIALS AND METHODS Forty-nine patients with primary brain tumors underwent MRI with DTI before and 9-12months after partial-brain RT. Maps of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were generated. Atlas-based white matter tracts were identified. A secondary analysis using skeletonized tracts was also performed. Linear mixed-model analysis of the relationship between mean and max dose and percent change in DTI metrics was performed. RESULTS Tracts with the strongest correlation of FA change with mean dose were the fornix (-0.46 percent/Gy), cingulum bundle (-0.44 percent/Gy), and body of corpus callosum (-0.23 percent/Gy), p<.001. These tracts also showed dose-sensitive changes in MD and RD. In the skeletonized analysis, the fornix and cingulum bundle remained highly dose-sensitive. Maximum and mean dose were similarly predictive of DTI change. CONCLUSIONS The corpus callosum, cingulum bundle, and fornix show the most prominent dose-dependent changes following RT. Future studies examining correlation with cognitive functioning and potential avoidance of critical white matter regions are warranted.

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Nikdokht Farid

University of California

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Anders M. Dale

University of California

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Hauke Bartsch

University of California

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D.C. Marshall

University of California

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