Interpolation of orientation distribution functions in diffusion weighted imaging using multi-tensor model

Afzali, Maryam; Fatemizadeh, Emad; Soltanian-Zadeh, Hamid

doi:10.1016/j.jneumeth.2015.06.007

Cited by 4 publications

(3 citation statements)

References 39 publications

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“…This ODF is a function of the distribution of water movement and its peaks are a suitable estimate for the orientation of track at a voxel. Afterward, a deterministic local fiber tracking algorithm was used just in the white matter, [16] with the following set of parameters: min separation angle = 30°, step size = 1, and number of seed in each voxel = 8. Three parts of the ARAS were reconstructed similarly to.…”

Section: Case Reportmentioning

confidence: 99%

Structural and functional connectivity of ascending reticular activating system in a patient with impaired consciousness after a cardiac arrest

et al. 2019

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Rationale: Diffusion tensor imaging (DTI), diffusion tensor tractography (DTT), as well as resting-state-functional magnetic resonance imaging (rsfMRI) are promising methods for assessing patients with disorders of consciousness (DOCs). Patient concerns: This work describes the main findings using DTI, DTT, and rsfMRI in a patient with a DOC secondary to an anoxic encephalopathy who had a fatal outcome. She was an 85-year-old woman who presented a cardiac arrest and underwent cardiopulmonary resuscitation for 20 minutes then returning to spontaneous circulation. After sedation withdrawal, 2 days after the event, she remained with a Glasgow Coma Scale score of 3/15 and with an absence of brainstem reflexes. Diagnoses: DOC secondary to an anoxic encephalopathy after cardiovascular resuscitation. Interventions: A complete brain MRI scan was performed 72 hours after the initial event, including DTI, DTT, and rsfMRI. DTT demonstrated disruption of both ventral and dorsal tegmental tracts bilaterally. DTI showed a reduction of fractional anisotropic level in the mesencephalic nuclei. Moreover, changes in the number of fiber tracts were not evidenced in any portions of the ascending reticular activating system (ARAS). Finally, an increase in the anticorrelated and correlated association among the nuclei in the ARAS and the cortex was evidenced. Outcomes: Patient deceased. Lessons: Neuroimaging demonstrated low FA values in the ARAS, destruction of dorsal and ventral tegmental tracts, as well as hyper-connective (highly correlated or anti-correlated) association among ARAS and cortical nuclei compared with 3 healthy control subjects.

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Section: Case Reportmentioning

confidence: 99%

Structural and functional connectivity of ascending reticular activating system in a patient with impaired consciousness after a cardiac arrest

et al. 2019

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“…This ODF is a function of the distribution of water movement, and its peaks are a suitable estimate for the orientation of each tract at each voxel. Afterwards, a deterministic local fiber tracking algorithm was applied for the WM 61 , with the following set of parameters: min separation angle = 30°, step size = 1 and number of seeds in each voxel = 8. Subsequently, the number of tracts that may connect every possible pair of nuclei between the AAN and the cortex was calculated (8 AAN nuclei 14 × 48 cortical nuclei 57 ).…”

Section: Methodsmentioning

confidence: 99%

Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness

Enciso-Olivera

Ordóñez-Rubiano

Casanova-Libreros

et al. 2021

Sci Rep

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To determine the role of early acquisition of blood oxygen level-dependent (BOLD) signals and diffusion tensor imaging (DTI) for analysis of the connectivity of the ascending arousal network (AAN) in predicting neurological outcomes after acute traumatic brain injury (TBI), cardiopulmonary arrest (CPA), or stroke. A prospective analysis of 50 comatose patients was performed during their ICU stay. Image processing was conducted to assess structural and functional connectivity of the AAN. Outcomes were evaluated after 3 and 6 months. Nineteen patients (38%) had stroke, 18 (36%) CPA, and 13 (26%) TBI. Twenty-three patients were comatose (44%), 11 were in a minimally conscious state (20%), and 16 had unresponsive wakefulness syndrome (32%). Univariate analysis demonstrated that measurements of diffusivity, functional connectivity, and numbers of fibers in the gray matter, white matter, whole brain, midbrain reticular formation, and pontis oralis nucleus may serve as predictive biomarkers of outcome depending on the diagnosis. Multivariate analysis demonstrated a correlation of the predicted value and the real outcome for each separate diagnosis and for all the etiologies together. Findings suggest that the above imaging biomarkers may have a predictive role for the outcome of comatose patients after acute TBI, CPA, or stroke.

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“…This ODF is a function of the distribution of water movement, and its peaks are a suitable estimate for the orientation of each tract at each voxel. Afterwards, a deterministic local ber tracking algorithm was applied for the WM 58 , with the following set of parameters: min separation angle = 30°, step size = 1 and number of seeds in each voxel = 8. Subsequently, the number of tracts that may connect every possible pair of nuclei between the AAN and the cortex was calculated (8 AAN nuclei x 48 cortical nuclei).…”

Section: Aan Structural Connectivitymentioning

confidence: 99%

Structural and Functional Connectivity of the Ascending Arousal Network for Prediction of Outcome in Patients with Acute Disorders of Consciousness

Enciso-Olivera

Ordóñez-Rubiano

Casanova-Libreros

et al. 2021

Preprint

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Object: To determine the role of early acquisition of blood oxygen level-dependent (BOLD) signals and diffusion tensor imaging (DTI) for analysis of the connectivity of the ascending arousal network (AAN) in predicting neurological outcomes after acute traumatic brain injury (TBI), cardiopulmonary arrest (CPA), or stroke.Methods: A prospective analysis of 50 comatose patients was performed during their ICU stay. Image processing was conducted to assess structural and functional connectivity of the AAN. Outcomes were evaluated after 3 and 6 months.Results: Nineteen patients (38%) had stroke, 18 (36%) CPA, and 13 (26%) TBI. Twenty-three patients were comatose (44%), 11 were in a minimally conscious state (20%), and 16 had unresponsive wakefulness syndrome (32%). Univariate analysis demonstrated that measurements of diffusivity, functional connectivity, and numbers of fibers in the gray matter, white matter, whole brain, midbrain reticular formation, and pontis oralis nucleus may serve as predictive biomarkers of outcome depending on the diagnosis. Multivariate analysis demonstrated a correlation of the predicted value and the real outcome for each separate diagnosis and for all the etiologies together.Conclusion: Findings suggest that the above imaging biomarkers may have a predictive role for the outcome of comatose patients after acute TBI, CPA, or stroke.

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Interpolation of orientation distribution functions in diffusion weighted imaging using multi-tensor model

Cited by 4 publications

References 39 publications

Structural and functional connectivity of ascending reticular activating system in a patient with impaired consciousness after a cardiac arrest

Structural and functional connectivity of ascending reticular activating system in a patient with impaired consciousness after a cardiac arrest

Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness

Structural and Functional Connectivity of the Ascending Arousal Network for Prediction of Outcome in Patients with Acute Disorders of Consciousness

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