Brain volumetric analysis and cortical thickness in adults with saccadic intrusions (ocular flutter or opsoclonus-myoclonus syndrome)

Evaluation of Early Cerebral Atrophy in Mild Cognitive Impairment with Positive Amyloid PET using MRIVolumetric Measurement

Journal of the Medical Association of Thailand ◽

10.35755/jmedassocthai.2021.06.12427 ◽

2021 ◽

Vol 104 (6) ◽

pp. 969-974

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Cortical Thickness ◽

Gray Matter Volume ◽

Cerebral Atrophy ◽

Volumetric Analysis ◽

Amyloid Pet ◽

Volumetric Measurement ◽

Matter Volume ◽

Cortical Gray Matter

Objective: To identify early cerebral atrophy by using magnetic resonance imaging (MRI) volumetric measurement to distinguish mild cognitive impairment (MCI) from normal aging. Materials and Methods: A retrospective study in 29 Alzheimer’s disease (AD) patients (mean 75.6±7.3 years), 11 MCI patients (mean 68.8±3.9 years), and 27 healthy control (HC) subjects (mean 69.3±4.7 years) was performed with analysis of neurological and neuropsychiatric test, and underwent 3T MRI with high-resolution 3D-T1W. Quantitative volumetric analysis of brain including surface area, cortical gray matter volume, cortical thickness, and hippocampal subfields was performed by using FreeSurfer software. Results: The diminishment of cortical gray matter volume and cortical thickness were involved in most of brain regions, predominantly in temporal lobe with statistical significance in AD compared with MCI and HC. Comparison between amyloid positron emission tomography (PET) positive MCI subjects and HC has statistically significant difference in most regions of hippocampal subfield. The highest accuracy of 90.01% with sensitivity of 50% and specificity of 100% were found at subiculum. A comparison between amyloid PET positive MCI subjects and amyloid PET negative MCI subjects revealed significant differences at right molecular layer, right/average GC-ML-DG, right CA2/3, right CA4, and average CA4 with good accuracy, sensitivity, and specificity. Conclusion: The present study confirmed improved sensitivity of MRI volumetric measurement with hippocampal subfield analysis to identify early stage of AD in MCI patients, at least compared with positive amyloid PET MCI. Study with higher number of subjects using this method to discriminate MCI and normal aging control would provide benefits as the screening tool in older population. Keywords: Hippocampal subfield; Volumetric analysis; Alzheimer’s disease; Mild cognitive impairment

Download Full-text

Sequential fluctuating paraneoplastic ocular flutter-opsoclonus-myoclonus syndrome and Lambert-Eaton myasthenic syndrome in small-cell lung cancer

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp.2009.172684 ◽

2010 ◽

Vol 82 (3) ◽

pp. 344-346 ◽

Cited By ~ 6

Author(s):

R. J. Simister ◽

K. Ng ◽

B. Lang ◽

M. Beckles ◽

D. Chao ◽

...

Keyword(s):

Lung Cancer ◽

Small Cell Lung Cancer ◽

Cell Lung Cancer ◽

Small Cell ◽

Small Cell Lung ◽

Ocular Flutter ◽

Myasthenic Syndrome ◽

Opsoclonus Myoclonus Syndrome

Download Full-text

Spontaneous remission of paraneoplastic ocular flutter and saccadic intrusions

Neurology ◽

10.1212/wnl.38.3.499 ◽

1988 ◽

Vol 38 (3) ◽

pp. 499-499 ◽

Cited By ~ 8

Author(s):

J. M. R. Furman ◽

B. H. Eidelman ◽

G. H. Fromm

Keyword(s):

Spontaneous Remission ◽

Ocular Flutter ◽

Saccadic Intrusions

Download Full-text

QOL-53. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS

Neuro-Oncology ◽

10.1093/neuonc/noaa222.706 ◽

2020 ◽

Vol 22 (Supplement_3) ◽

pp. iii440-iii440

Author(s):

Cassie Kline ◽

Schuyler Stoller ◽

Lennox Byer ◽

Caleb Edwards ◽

Rachna Prasad ◽

...

Keyword(s):

Brain Tumor ◽

Cortical Thickness ◽

Brain Volume ◽

Pediatric Brain Tumor ◽

Volumetric Analysis ◽

Small Sample ◽

Psychomotor Function ◽

Gene Set ◽

Genome Wide ◽

Pediatric Brain

Abstract OBJECTIVE To identify genetic predictors of neurocognition, CMBs, brain volume, and WM changes in pediatric brain tumor survivors. METHODS Patients were selected from an existing cohort (RadART) if they had: 1) at least one neurocognitive evaluation using computer-based CogState; 2) available DNA; 3) standard imaging. Candidate gene or genome-wide genotyping was performed on all patients. CMBs were identified using a semi-automated algorithm developed in MATLAB. Volume of T2/FLAIR WM signal abnormality was measured using a semi-automated method based on a convolutional neural network. Brain volume and cortical thickness were measured using FreeSurfer volumetric analysis. Logistic and linear regression were done to compare phenotypes with candidate genotypes. Genome-wide efficient mixed-model analysis was done to compare neurocognition and CMBs. Gene set analysis was done using https://fuma.ctglab.nl/. RESULTS APOE4 was a candidate variant associated with non-lobar, larger volume CMBs (p<0.05). At the GWAS-level (n=225), specific genes trended with visual memory, psychomotor function, and CMB count (p<5x10-8). Using gene set analyses, there were gene set trends seen with CMB count and psychomotor function. Small sample size and low mutant allele frequency limited reliability of these findings. Preliminary volumetric analysis show reduced volume within the right parietal, medial occipital and inferior temporal lobes with increased cortical thickness in the left occipital and medial parietal lobe in patients carrying the ApoE4 allele. WM signal assessments are ongoing. CONCLUSION Genetic markers may be associated with neurocognition, CMBs, brain volume and WM changes in pediatric brain tumor survivors; however, larger cohorts are needed to confirm specific gene relevance.

Download Full-text

Cortical thickness and brain volumetric analysis in body dysmorphic disorder

Psychiatry Research Neuroimaging ◽

10.1016/j.pscychresns.2015.02.003 ◽

2015 ◽

Vol 232 (1) ◽

pp. 115-122 ◽

Cited By ~ 7

Author(s):

Sarah K. Madsen ◽

Alex Zai ◽

Tara Pirnia ◽

Donatello Arienzo ◽

Liang Zhan ◽

...

Keyword(s):

Cortical Thickness ◽

Body Dysmorphic Disorder ◽

Volumetric Analysis

Download Full-text

Towards Understanding Comprehensive Morphometric Changes and Its Correlation with Cognition and Exposure to Fighting in Active Professional Boxers

10.1101/2021.09.25.461817 ◽

2021 ◽

Author(s):

Virendra R. Mishra ◽

Xiaowei Zhuang ◽

Karthik R. Sreenivasan ◽

Dietmar Cordes ◽

Aaron Ritter ◽

...

Keyword(s):

Cortical Thickness ◽

Large Scale ◽

Chronic Traumatic Encephalopathy ◽

Volumetric Analysis ◽

Matter Density ◽

Machine Learning Algorithms ◽

Group Level ◽

Significant Group ◽

Brain Volumes ◽

Increased Risk

ABSTRACTProfessional athletes exposed to repetitive head impacts are at increased risk for developing a progressive neurological syndrome known as traumatic encephalopathy syndrome and neuropathology seen on autopsy called chronic traumatic encephalopathy (CTE). The early identification of individuals at increased risk for CTE is important and the search for biomarkers is underway. In this study, we utilized data from a large cohort study to compare differences in regional brain volumes, cortical thickness, voxel-based morphometric (VBM)-derived measures, and graph-theoretical measures derived from large-scale topographical maps in active professional boxers. We compared the above morphometric measures between active professional boxers with low cognitive scores (impaired boxers) and active professional boxers with intact cognitive scores (nonimpaired boxers). The cognitive scores were evaluated through neuropsychological evaluation. As an exploratory analysis, we also examined the power of various machine-learning algorithms to identify impaired and nonimpaired boxers using both group-level regression-driven analysis and previously identified hypothesis-driven cortical thickness and volumetric measures. We found significant group-level differences between impaired and nonimpaired boxers in cortical thickness in a single brain region (right precuneus), differences in VBM-derived gray matter density encompassing the caudate, putamen, and thalamus; and white matter density encompassing the right paracentral lobule, but no differences in any graph-theoretical network properties. Additionally, we found that a priori hypothesis-driven T1-derived cortical thickness and volumetric analysis performed better than traditional regression-based analysis. Overall, this study suggests that neuroanatomical differences exist between impaired and nonimpaired active professional boxers, and that hypothesis-driven techniques are likely necessary to become reliable biomarkers.

Download Full-text

NCOG-71. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS

Neuro-Oncology ◽

10.1093/neuonc/noaa215.609 ◽

2020 ◽

Vol 22 (Supplement_2) ◽

pp. ii145-ii145

Author(s):

Cassie Kline ◽

Schuyler Stoller ◽

Lennox Byer ◽

Caleb Edwards ◽

Rachna Prasad ◽

...

Keyword(s):

Brain Tumor ◽

Cortical Thickness ◽

Brain Volume ◽

Pediatric Brain Tumor ◽

Volumetric Analysis ◽

Small Sample ◽

Psychomotor Function ◽

Gene Set ◽

Genome Wide ◽

Pediatric Brain

Abstract OBJECTIVE To identify genetic predictors of neurocognition, CMBs, brain volume, and WM changes in pediatric brain tumor survivors. METHODS Patients were selected from an existing cohort (RadART) if they had: 1) at least one neurocognitive evaluation using computer-based CogState; 2) available DNA; 3) standard imaging. Candidate gene or genome-wide genotyping was performed on all patients. CMBs were identified using a semi-automated algorithm developed in MATLAB. Volume of T2/FLAIR WM signal abnormality was measured using a semi-automated method based on a convolutional neural network. Brain volume and cortical thickness were measured using FreeSurfer volumetric analysis. Logistic and linear regression were done to compare phenotypes with candidate genotypes. Genome-wide efficient mixed-model analysis was done to compare neurocognition and CMBs. Gene set analysis was done using https://fuma.ctglab.nl/. RESULTS APOE4 was a candidate variant associated with non-lobar, larger volume CMBs (p< 0.05). At the GWAS-level (n=225), specific genes trended with visual memory, psychomotor function, and CMB count (p< 5x10-8). Using gene set analyses, there were gene set trends seen with CMB count and psychomotor function. Small sample size and low mutant allele frequency limited reliability of these findings. Preliminary volumetric analysis show reduced volume within the right parietal, medial occipital and inferior temporal lobes with increased cortical thickness in the left occipital and medial parietal lobe in patients carrying the ApoE4 allele. WM signal assessments are ongoing. CONCLUSION Genetic markers may be associated with neurocognition, CMBs, brain volume and WM changes in pediatric brain tumor survivors; however, larger cohorts are needed to confirm specific gene relevance.

Download Full-text