| Computer # |
| 2920.
 | 1 | Correlation Between Cortical Thickness and Motor Functions in Individuals with Cerebral Small Vessel Disease Burdens pengcheng liang1, lingfei guo1, changhu liang1, meng li2, jing li3, yian gao1, chaofan sui1, yiwen chen1, and zhenyu cheng4
1Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, jinan, China, 2Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Germany, 3Department of Radiology, Beijing Tsinghua Changgung Hospital, beijing, China, 4School of Medical Imaging, Binzhou Medical University, No. 346 Guanhai Road, Yantai, jinan, China Keywords: Gray Matter, Gray Matter, Cerebral small vessel disease, timed up and go, cortical thickness, motor impairment, right insular cortex Motivation: Delve into the cortical territories most vulnerable to cerebral small vessel disease (CSVD) Goal(s): Determine the pivotal cortical zones that play a crucial role in mediating motor dysfunction in patients affected by CSVD, and scrutinize the risk factors that could potentially influence these pertinent cerebral areas. Approach: Cortical thickness measurements were acquired utilizing an integrated approach of magnetic resonance imaging (MRI) and FreeSurfer technology. Results: The right insular cortex holds a crucial position in the cascade of motor impairments observed in individuals diagnosed with CSVD. Body Mass Index (BMI) emerges as a potentially vital risk factor. Impact: Focusing on the cortical thickness of the right insular cortex in individuals with CSVD and the risk factors that influence it (such as BMI) may lead to a better understanding and early intervention for motor impairment in individuals with CSVD. |
| 2921.
 | 2 | Evaluating R1 and T1w/T2w as myelin-sensitive measures compared to macromolecular proton fraction Yu Veronica Sui1,2,3, Pippa Storey1,2, Alexey Samsonov4, and Mariana Lazar1,2
1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 3Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY, United States, 4Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States Keywords: Gray Matter, Quantitative Imaging Motivation: In vivo myelin mapping of the human brain holds great research significance due to the critical role that myelin health plays in both normal and neuropathological conditions. Goal(s): To quantitatively assess the relationship and concordance between MRI-based myelin-sensitive metrics, which are not well understood in current literature. Approach: Using the macromolecular proton fraction (MPF) as a standard myelin marker, we compared the longitudinal relaxation rate (R1) and T1w/T2w image ratio and their reliability across tissue types. Results: We show that R1 corresponds well with MPF across the brain while T1w/T2w is reasonably reliable in only limited areas. Impact: By quantitatively comparing R1 and T1w/T2w with more established myelin marker MPF, we highlight their varying levels of concordance across tissue types, which informs future studies planning to use R1 or T1w/T2w as myelin proxies in the brain. |
| 2922.
 | 3 | Altered cortical morphology and morphological similarity network patterns in classical trigeminal neuralgia patients Pengfei Zhang1,2,3, Kai AI4, Laiyang Ma1,2,3, Yanli Jiang1,2,3, Wanjun Hu1,2,3, Jun Wang1,2,3, Guangyao Liu1,3, and Jing Zhang1,2,3
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Second Clinical School, Lanzhou University, Lanzhou, China, 3Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China, 4Philips Healthcare, Xi'an, China Keywords: Gray Matter, Neuroscience, trigeminal neuralgia, grey-matter morphology, structural covariance network Motivation: Morphological covariance in classical trigeminal neuralgia is not well understood. Goal(s): To characterize the brain morphometry, and further construct individual-level morphological similarity networks. Approach: We performed volume and surface-based morphometry analyses respectively. Using cortical indicators combined with Kullback-Leibler divergence, we further investigated the topological properties of structural covariance network. Results: Patients presented decreased cortical indicators in salience and default mode network, along with increased volume and cortical complexity. Topological analysis revealed impaired information integration of the fractal dimension and sulcus depth networks, and the opposite trend in cortical thickness network. Gray matter covariation provides connectome evidence for central plasticity in chronic pain. Impact: The present study, for the first time, revealed the impairments of individual-level morphological covariance networks in CTN chronic pain patients, highlighting the combined effects of pain and mood disorders. Additionally, volume and surface integration analyses help to provide complementary information. |
| 2923.
 | 4 | Brain Cortical Changes in Pediatric and Adolescent Patients with Intermittent Exotropia Basic Type: SBM Analysis on MRI Morphological Data Xin-zhi Zhao1,2, Qing-lei Shi1,3, Wan Yi Chen4, Yi Fang5, Huixin Li6, Jie Mao4, Ren-zhi Wang1, Zhaohui Liu7, and Xiang Wan3
1School of Medicine, Chinese University of Hong Kong(Shenzhen), Shenzhen, China, 2Siemens Healthineers (China), Shanghai, China, 3Shenzhen Research Institute of Big Data, Shenzhen, China, 4School of data science, Chinese University of Hong Kong(Shenzhen), Shenzhen, China, 5Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 6Department of Ophthalmology, Beijing Tongren Hospital, Beijing, China, 7Department of Radiology, Beijing Tongren Hospital, Beijing, China Keywords: Gray Matter, Head & Neck/ENT, strabismus, ophthalmology, SBM Motivation: Basic type of intermittent exotropia (IXT) is one of the most common strabismus subtypes in children and adolescents, yet a clear consensus of its etiology and treatment approach is still lacking. Goal(s): To discover abnormal brain cortical structures related to this disease and explore the central nervous system mechanisms of IXT. Approach: Basic type IXT patients and healthy volunteers were recruited, cortical structures extracted from their whole-brain MRI morphological data were compared using the SBM method. Results: Distinct differences of cortical thickness and curvature between the two groups were found, located in the right rostral middle frontal cortex and the left precuneus.
Impact: Our results suggesting that the primary pathological changes in this disease may differ from traditional perspectives. Based on these findings, we have proposed a new pathogenic hypothesis and introduced novel treatment recommendations. |
| 2924.
 | 5 | Regional gray matter atrophy mediates white matter hyperintensity-induced cognitive decline following carbon monoxide poisoning Yanli Zhang1, Tianhong Wang1, Shuaiwen Wang1, Xin Zhuang1, Jianlin Li1, Shunlin Guo1, and Junqiang Lei1
1The first hospital of Lanzhou university, Lanzhou, China Keywords: Gray Matter, Dementia Motivation: To reveal the underlying neuroimaging pathology mechanisms of cognitive impairment in patients with delayed neurologic sequelae (DNS) following carbon monoxide (CO) poisoning. Goal(s): To investigate the relationship among white matter hyperintensities (WMH), gray matter (GM) volume and cortical thickness alteration, and cognitive impairment severities in patients with DNS following CO poisoning. Approach: Clinical retrospective observational study Results: The DNS patients with dementia (DNS-D) group showed more severe GM atrophy and higher WMH load than those with mild cognitive impairment (DNS-MCI) group. Reduced GM volume in 16 subregions of the bilateral prefrontal, left occipital, bilateral temporal, and cerebellar regions mediated the WMH-induced cognitive decline. Impact: Using the neuroimaging methods to explore the pathophysiological mechanism of DNS with cognitive impairment could provide a theoretical basis for exploring new therapeutic approaches. Our results provide preliminary evidence that the role of regional GM atrophy in WMH-induced cognitive decline. |
| 2925.
 | 6 | Decreased cortical thickness in obsessive compulsive disorder: a meta-analysis of brain structural magnetic resonance imaging studies. Yufei Chen1, Fenghua Long1, Qian Li1, Yitian Wang1, Yaxuan Wang1, and Fei Li1
1Department of Radiology and Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China Keywords: Gray Matter, Nervous system, obsessive compulsive disorder; structure MRI; whole brain Motivation: Although studies indicate abnormalities in cingulo-opercular and default mode networks in obsessive-compulsive disorder (OCD), neuroimaging evidence of brain structural alterations is still limited and contradictory. Goal(s): To compare cortical thickness (CTh) between patients with OCD and healthy controls. Approach: We performed a meta-analysis on CTh and conducted subgroup analyses and meta-regression analyses to explore the effects of confounding factors on CTh. Results: Our study found decreased CTh in the left posterior cingulate cortex (PCC), left dorsal anterior cingulate cortex (dACC), and right pars opercularis in OCD. Medicated-subgroup analysis showed no between-group differences in dACC, though reduced CTh of PCC and pars opercularis remained. Impact: Our study found decreased
CTh in cingulo-opercular and
default mode networks
in patients with OCD, which helped explore the neural mechanism of OCD, and
also suggested that medication might have an impact on CTh alterations in OCD. |
| 2926.
 | 7 | Brain gray matter alterations in individuals with convergence insufficiency Yuxia Wang1,2, Ye Wu3, Yanglei Wu4, Huaiqiang Sun1, and Fei Li1
1Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China, 2Department of Radiology, Suining Central Hospital, Suining, Sichuan 629099, China, 3Department of Ophthalmology, Laboratory of Optometry and Vision Sciences, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China, 4MR Research Collaboration, Siemens Healthineers, Beijing, China Keywords: Gray Matter, Nervous system, Convergence insufficiency;Brain;Structure Motivation: Whether abnormal visual experiences in individuals with convergence insufficiency (CI) would be associated with brain structural alterations. Goal(s): To explore altered cortical structural characteristics in individuals with CI and its relationship with visual measures and clinical symptoms. Approach: All participants underwent high-resolution T1-weighted brain magnetic resonance imaging scanning and cortical thickness, surface area, and volume were calculated and compared between two groups. Results: There are altered cortical gray matter volume and surface area in the brain regions related to the function of eye movement in CI than healthy controls, one of which was correlated with near point of convergence. Impact: Our results shed light on the impact of binocular vision dysfunctions on human brain structure, explicate the neural mechanism of CI, and reveal the potential utility of brain MRI in assessing the neural mechanism of ocular diseases. |
| 2927.
 | 8 | Segmentation of Deep Gray Matter Nuclei with Imperfect Annotations and Anatomy A Priori Embedded in Template Yida Wang1, Naying He2, Chenglong Wang1, Xiance Zhao3, Yang Song4, Ying Wang5, Ewart Mark Haacke2,6, Fuhua Yan2, and Guang Yang1
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Philips Healthcare, Shanghai, China, 4Siemens Healthineers Ltd., Shanghai, China, 5Radiology, Wayne State University, Detroit, MI, United States, 6Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States Keywords: Gray Matter, Neuro Motivation: Automated segmentation enables objective and repeatable quantitative analysis of deep gray matter nuclei, which is essential to Parkinson’s disease (PD) studies. Goal(s): To combine the strengths of a classic segmentation algorithm and deep learning to achieve robust segmentation of deep gray matter nuclei without manual annotation. Approach: A brain nuclei template was created to generate template-based ROIs containing anatomical priori information. A classic segmentation algorithm was used to create imperfect algorithm-based ROIs, which were combined with template-based ROIs for training of a segmentation deep learning (DL) model. Results: The proposed model has achieved encouraging results, and still has room for improvement. Impact: Accurate and automatic segmentation
for deep gray matter nuclei is essential to PD studies. The proposed DL
segmentation model requires no manual annotations and may make the automatic
segmentation more accessible for large datasets. |
| 2928.
 | 9 | Volumetric brain analysis and associated retinal thinning in autosomal dominant optic atrophy plus syndrome Punpath Pajareeyapong1, Sasi Thammasarnsophon1, Sittaya Buathong1, Kanchalika Sathianvichitr2, Natthapon Rattanathamsakul3, Niphon Chirapapaisan2, and Chanon Ngamsombat1
1Radiology, Faculty of Medicine, Siriraj Hospital, Madidol University, Bangkok, Thailand, 2Ophthalmology, Faculty of Medicine, Siriraj Hospital, Madidol University, Bangkok, Thailand, 3Medicine, Faculty of Medicine, Siriraj Hospital, Madidol University, Bangkok, Thailand Keywords: Gray Matter, Brain, Dominant Optic Atrophy, OPA1, Primary visual cortex, occipital lobe, atrophy Motivation: Dominant optic atrophy plus patients have retinal thinning like in glaucoma patients that have associated structural atrophy of primary visual cortex. Goal(s): To evaluate the cerebral atrophy of DOA-plus patients compared with normal healthy group and analyse correlation between the retinal thinning and primary visual cortex atrophy. Approach: Recruited DOA-plus and normal healthy patients were examed with OCT test for retinal abnormality, imaged with 3T MRI and analyse the images using Freesurfer software for data including gray matter volume. Results: DOA-plus patients have significant cerebral atrophy, more pronounce at primary visual cortex with positive correlation between retinal thinning and primary visual cortex. Impact: For better understanding of structural brain change in DOA-plus patients and may help in the study of pathophysiology of primary visual cortex atrophy in DOA-plus patient by advanced MRI techniques. |
| 2929.
 | 10 | Thalamic Morphometry Abnormalities in Trigeminal Neuralgia Using Deformation-Based Shape Analysis Siping Luo1, Fan Lin1, Xiaoying Tang2, Pinyuan Zhong2, and Haodong Qin3
1Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China, 2Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China, 3MR Research Collaboration, Siemens Healthineers, Guangzhou, China Keywords: Gray Matter, Visualization, thalamic morphometry, trigeminal neuralgia, biomarker Motivation: The potential pathophysiologic mechanisms related to trigeminal neuralgia (TN) needed elucidation, and alternative biomarkers of TN needed to be identified. Goal(s): To explore atrophy in specific subregions of the thalamus, which may contribute to the pathophysiology of TN. Approach: We used vertex-based shape analysis to evaluate the differences in thalamus volume and shape in patients with TN and determine the location of regional thalamic atrophy. Results: The analysis revealed distinct brain structural disparities between patients with TN exhibiting symptoms on the right and left sides. Compared with controls, patients with TN showed atrophy in specific subregions of the thalamus. Impact: This study used an
advanced deformation-based statistical shape analysis pipeline to investigate
localized morphometric abnormalities in the thalamus, rather than relying on
global volume measurements. It may help us understand the pathologic mechanism
of trigeminal neuralgia. |
| 2930.
 | 11 | The effect of shift working on workers brain morphometric changes from a voxel-wise comparison Sungmin Kim1, Dohyeon Kim1, Wonpil Jang1, Cheol-woon Kim1, Wanhyung Lee2, and Joon Yul Choi1
1Department of Biomedical Engineering, Yonsei University, Wonju, Korea, Republic of, 2Department of Preventive Medicine, College of Medicine, Chung-Ang University, Seoul, Korea, Republic of Keywords: Gray Matter, Neuroscience Motivation: Compared to non-shift workers, shift workers are more likely to be at risk for accidents due to decreased performance, attention to work, and concentration. Goal(s): We aim to examine the health effects of shift work from a neuroscientific perspective. Approach: T1w-MPRAGEs were utilized to generate VBM maps to investigate regional volumetric changes between shift and non-shift workers. GLM was created to compare VBM between two groups. Results: The cerebellum region was found to be significantly larger in non-shift work compared to shift work while shift workers had larger volume of the inferior parietal region compared to non-shift workers. Impact: In this study, our aim was to examine the neuroscientific evidence explaining various health issues among shift workers. To the best of our knowledge, this is the first study to investigate structural differences between shift and non-shift workers. |
| 2931.
 | 12 | Assessments of brain volume and cerebral perfusion across ages in patients with Duchenne muscular dystrophy Rosanne Govaarts1, Nathalie Doorenweerd1,2, Emma M Broek1, Lena Václavů1, Kieren G Hollingsworth3, Erik H Niks1,2, Volker Straub3,4, and Hermien E Kan1,2
1Leiden University Medical Center, Leiden, Netherlands, 2Duchenne center Netherlands, Leiden, Netherlands, 3Newcastle University, Newcastle upon Tyne, United Kingdom, 4Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom Keywords: Gray Matter, Brain Motivation: Lower total brain and grey matter volume and reduced cerebral perfusion have been shown cross-sectionally in Duchenne muscular dystrophy (DMD) patients compared to healthy controls (8-18 years old). Goal(s): We aimed to assess changes of these findings over time. Approach: We analyzed both; data from adults with DMD and longitudinal data. Results: Our results show that the difference in total brain volume, grey matter volume and perfusion persist into adulthood, but that the rate of change over ~3 years did not differ between DMD and healthy controls. This suggests that structural brain changes in DMD are not progressive over this timeframe. Impact: Widespread brain alterations have been observed
in the progressive muscle wasting condition DMD, along with neurocognitive and
behavioral changes. In contrast to the muscle phenotype, our study showed
stable reductions in brain volume and perfusion indicative of non-progressive
pathology. |
| 2932.
 | 13 | Brain Iron Content Changes after Neoadjuvant Chemotherapy in Breast Cancer using Quantitative Susceptibility Mapping Meng Lin1, Jing Zhang2, Yong Tan2, Jiuquan Zhang2, and Ting Yin3
1Radiology department, Chongqing University Cancer Hospital, Chongqing, China, 2Chongqing University Cancer Hospital, Chongqing, China, 3MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China Keywords: Gray Matter, Cancer, Neoadjuvant chemotherapy, Breast cancer, Chemotherapy-related cognitive impairment Motivation: Chemotherapy-related cognitive impairments (CRCIs) are common in patients with breast cancer undergoing neoadjuvant chemotherapy (NAC). However, the mechanisms of CRCI are still unclear. Excess brain iron accumulation might be a potential mechanism for cognitive impairment. Goal(s): Evaluating the longitudinal changes in brain iron content in participants with breast cancer after NAC using quantitative susceptibility mapping (QSM) Approach: 53 women with breast cancer were enrolled, and each was imaged with T1WI and QSM and performed before and after NAC. Results: Brain iron content derived from QSM changed in participants with breast cancer after NAC, and was related to cognitive performance. Impact: Iron content changes derived from QSM may providing
a new objective basis for the mechanism of CRCI. |
| 2933.
 | 14 | Visualization of Human Brain Cortical Layers Using Quantitative Parameter Mapping on a 3 Tesla Scanner Yuki Kanazawa1, Yo Taniguchi2, Masafumi Harada1, Kosuke Ito2, and Yoshitaka Bito2
1Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan, 2FUJIFILM Healthcare Corporation, Tokyo, Japan Keywords: Gray Matter, Microstructure Motivation: To observe the cortical layer in detail using MRI. Goal(s): To evaluate the visualization of cortical layers in humans using quantitative parameter mapping (QPM)-MRI. Approach: Using T1, T2, and R1·R2* derived from QPM-MRI, each measured value in the motor cortex and the putamen was compared. Additionally, the line profile curves of the cortex for R1, R2* and R1·R2* images were plotted. Results: There are significant differences between the motor cortex and the putamen in T1 and T2* (P < 0.05). Visualization using R1·R2* leads to emphasis on the susceptibility effect of iron and myelin in addition to T1 differences. Impact: Visualization using R1·R2* derived from QMP-MRI leads to emphasis on the susceptibility effect of iron and myelin in addition to T1 differences based on myelin content in the cortex. |
| 2934.
 | 15 | Impact of socioeconomic status and parental stress on infant regional brain development Cheng En Lee1, Kay Laura Sindabizera1, Ruolin Li1,2, Wentao Wu1,2, Minhui Ouyang1,3, and Hao Huang1,3
1Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States Keywords: Gray Matter, Brain, Screening, Infant, Early Development, Structural MRI Motivation: Human brain development is suggested to rely on a complex interplay between biological and environmental factors. For the latter, socioeconomic status (SES) and parental stress can significantly impact the development of cognitive and social skills. However, their links to infant brain development are not well understood. Goal(s): Our goal is to identify regional brain development critically affected by environmental influences. Approach: High-resolution structural MRI of 95 infants aged 0-22 months, and the corresponding SES, and parental perceived stress scales (PSS) were utilized to investigate how they are associated. Results: Higher SES is associated with larger volumes in prefrontal cortex and inferior frontal gyrus. Impact: The significant,
positive correlations between socioeconomic status and prefrontal cortical,
inferior frontal gyral volume underscore environmental impact on brain
development during the critical period of infancy. Further investigation of brain
regions related to emotion, executive function, and memory is warranted. |