Diffusion Tensor Imaging Connectomics Reveals Preoperative Neural Connectivity Changes in Children with Postsurgical Posterior Fossa Syndrome

2020 ◽  
Vol 30 (2) ◽  
pp. 192-197 ◽  
Author(s):  
Avner Meoded ◽  
Lisa Jacobson ◽  
Ann Liu ◽  
Colleen Bauza ◽  
Thierry A. G. M. Huisman ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Posterior Fossa ◽  
Diffusion Tensor ◽  
Neural Connectivity ◽  
Posterior Fossa Syndrome

scholarly journals Longitudinal cerebellar diffusion tensor imaging changes in posterior fossa syndrome

2016 ◽  
Vol 12 ◽  
pp. 582-590 ◽  
Author(s):  
Sean D. McEvoy ◽  
Amy Lee ◽  
Andrew Poliakov ◽  
Seth Friedman ◽  
Dennis Shaw ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Posterior Fossa ◽  
Diffusion Tensor ◽  
Posterior Fossa Syndrome

Diffusion tensor imaging of the superior cerebellar peduncle identifies patients with posterior fossa syndrome

2013 ◽  
Vol 29 (11) ◽  
pp. 2071-2077 ◽  
Author(s):  
Jeffrey G. Ojemann ◽  
Savannah C. Partridge ◽  
Andrew V. Poliakov ◽  
Toba N. Niazi ◽  
Dennis W. Shaw ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Posterior Fossa ◽  
Diffusion Tensor ◽  
Superior Cerebellar Peduncle ◽  
Posterior Fossa Syndrome ◽  
Cerebellar Peduncle

scholarly journals NEURAL CONNECTIVITY OF THE AMYGDALA IN THE HUMAN BRAIN: A DIFFUSION TENSOR IMAGING STUDY

2014 ◽  
Vol 24 (6) ◽  
pp. 591-600 ◽  
Author(s):  
Sung Ho Jang ◽  
Hyeok Gyu Kwon
Keyword(s):  
Diffusion Tensor Imaging ◽  
Human Brain ◽  
Diffusion Tensor ◽  
Imaging Study ◽  
Neural Connectivity ◽  
Diffusion Tensor Imaging Study

Diffusion Tensor Imaging and Fiber Tractography of Pediatric Posterior Fossa Malformations

Neurographics ◽  
2017 ◽  
Vol 7 (4) ◽  
pp. 243-261 ◽  
Author(s):  
A. Meoded ◽  
T. Bosemani ◽  
E. Boltshauser ◽  
I. Scheer ◽  
T.A.G.M. Huisman ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Posterior Fossa ◽  
Diffusion Tensor ◽  
Fiber Tractography ◽  
Posterior Fossa Malformations

BRAINSTEM CORTICOSPINAL TRACT DIFFUSION TENSOR IMAGING IN PATIENTS WITH PRIMARY POSTERIOR FOSSA NEOPLASMS STRATIFIED BY TUMOR TYPE

Neurosurgery ◽  
2007 ◽  
Vol 61 (6) ◽  
pp. 1199-1208 ◽  
Author(s):  
Yvonne W. Lui ◽  
Meng Law ◽  
Jeena Chacko-Mathew ◽  
James S. Babb ◽  
Keren Tuvia ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Posterior Fossa ◽  
Corticospinal Tract ◽  
Diffusion Tensor ◽  
Tumor Type

scholarly journals Diffusion tensor imaging in evaluation of posterior fossa tumors in children on a 3T MRI scanner

2015 ◽  
Vol 25 (4) ◽  
pp. 445 ◽  
Author(s):  
ZarinaAbdul Assis ◽  
Jitender Saini ◽  
Manish Ranjan ◽  
ArunKumar Gupta ◽  
Paramveer Sabharwal ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Posterior Fossa ◽  
Diffusion Tensor ◽  
Posterior Fossa Tumors ◽  
3T Mri

scholarly journals Diffusion tensor imaging assessment of microstructural brainstem integrity in Chiari malformation Type I

2016 ◽  
Vol 125 (5) ◽  
pp. 1112-1119 ◽  
Author(s):  
Vibhor Krishna ◽  
Francesco Sammartino ◽  
Philip Yee ◽  
David Mikulis ◽  
Matthew Walker ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Posterior Fossa ◽  
Chiari Malformation ◽  
Diffusion Tensor ◽  
Structural Parameters ◽  
Ventricular Volume ◽  
Neurological Dysfunction ◽  
Type I ◽  
Tonsillar Herniation ◽  
Chiari Malformation Type I

OBJECTIVE The diagnosis of Chiari malformation Type I (CM-I) is primarily based on the degree of cerebellar tonsillar herniation even though it does not always correlate with symptoms. Neurological dysfunction in CM-I presumably results from brainstem compression. With the premise that conventional MRI does not reveal brain microstructural changes, this study examined both structural and microstructural neuroimaging metrics to distinguish patients with CM-I from age- and sex-matched healthy control subjects. METHODS Eight patients with CM-I and 16 controls were analyzed. Image postprocessing involved coregistration of anatomical T1-weighted with diffusion tensor images using 3D Slicer software. The structural parameters included volumes of the posterior fossa, fourth ventricle, and tentorial angle. Fractional anisotropy (FA) was calculated separately in the anterior and posterior compartments of the lower brainstem. RESULTS The mean age of patients in the CM-I cohort was 42.6 ± 10.4 years with mean tonsillar herniation of 12 mm (SD 0.7 mm). There were no significant differences in the posterior fossa volume (p = 0.06) or fourth ventricular volume between the 2 groups (p = 0.11). However, the FA in the anterior brainstem compartment was significantly higher in patients with CM-I preoperatively (p = 0.001). The FA values normalized after Chiari decompression except for persistently elevated FA in the posterior brainstem compartment in patients with CM-I and syrinx. CONCLUSIONS In this case-control study, microstructural alterations appear to be reliably associated with the diagnosis of CM-I, with a significantly elevated FA in the lower brainstem in patients with CM-I compared with controls. More importantly, the FA values normalized after decompressive surgery. These findings should be validated in future studies to determine the significance of diffusion tensor imaging–based assessment of brainstem microstructural integrity as an adjunct to the clinical assessment in patients with CM-I.

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