| Computer # |
| 4406.
 | 81 | Pattern separation engages regions beyond the hippocampus among nondemented elderly subjects: a 7T task fMRI study Zhengshi Yang1, Xiaowei Zhuang1, Katherine A. Koenig2, James B. Leverenz2, Tim Curran3, Mark J. Lowe2, and Dietmar Cordes1,3
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2Cleveland Clinic, Cleveland, OH, United States, 3University of Colorado, Boulder, CO, United States Keywords: Task/Intervention Based fMRI, fMRI (task based), pattern separation, mnemonic similarity task Motivation: Investigating the ability to differentiate similar representations is extensively focused on hippocampus. The roles of cortical regions and their interaction with the hippocampus largely remain unclear. Goal(s): We aim to address this issue with whole-brain high-resolution fMRI data collected during a mnemonic similarity task. Approach: Whole-brain and hippocampal ROI analysis were conducted to examine brain activity during the task. Results: The right frontoparietal network showed increased activity when a lure or the same object was presented compared to a new object. The left anterior CA3/DG and left frontoparietal network had higher activity when a lure was correctly identified as “similar” instead of “same”. Impact: Besides the CA3/DG, left frontoparietal
regions were also involved in discriminating similar objects while right
frontoparietal regions were mainly involved in successful retrieval, suggesting
the functional lateralization of frontoparietal network. |
| 4407.
 | 82 | Selective Vulnerability of the Brain Regions in Neurodegenerative Disorders Atiyeh Fotoohinasab1, Chidi Patrick Ugonna1,2, and Nan-kuei Chen2
1Biomedical Engineering, The University Of Arizona, Tucson, AZ, United States, 2Biomedical Engineering, The university of Arizona, Tucson, AZ, United States Keywords: Functional Connectivity, Brain Connectivity, Virtual lesion Motivation: Understanding neurodegenerative diseases requires considering selective brain region vulnerability and progressive atrophy. Goal(s): We seek to develop a computational method to identify dynamic, selectively vulnerable brain regions affected by specific diseases. Approach: This study introduces a novel graph theory-based technique focusing on functional interactions in atrophy progression. Results: In Parkinson's disease, our approach demonstrated widespread chronological atrophy across motor and non-motor brain regions, showcasing its effectiveness. Impact: This pioneering study reveals selective vulnerability in functional brain networks, by employing graph theory and computational methods, advancing neurodegenerative disease understanding. These findings hold promise for tracking disease-specific atrophy patterns, enabling longitudinal assessment and the development of effective therapeutic strategies. |
| 4408.
 | 83 | Gray matter morphological abnormities are constrained by normal structural covariance network in OCD Baohong Wen1, Zijun Liu1, Jin Sun1, Ya Tian1, Wenqing Shi1, Qiuying Tao1, Yong Zhang1, Jingliang Cheng1, and Shaoqiang Han1
1the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China Keywords: fMRI Analysis, Psychiatric Disorders Motivation: Whether abnormal gray matter morphology is constrained by normal brain network architecture in in obsessive-compulsive disorder (OCD) remains unknown. Goal(s): We investigated the association between gray matter morphological abnormities and normal structural covariance network architecture. Approach: Ninety-eight first-episode and drag-naive patients with OCD and matched healthy controls (HCs) were included in this study. Results: Gray matter abnormities are constrained by structural connectome and provide new insights into the possible pathological progression in OCD. Impact: We investigated the association between gray matter morphological abnormities and normal structural covariance network architecture in OCD. We found that the structural abnormalities are constrained by structural covariance connectome of multiple disease epicenters in OCD. |
| 4409.
 | 84 | Frequency-dependent alterations in functional connectivity associated with the progression from aMCI to AD Hanjun Hu1,2, Luoyu Wang2, Qingqing Wen3, Qi Feng2, Xue Tang4, Zhengluan Liao5, and Zhongxiang Din2
1The Fourth Clinical College, Zhejiang Chinese Medical University, HangZhou, China, 2Hangzhou First People's Hospital, HangZhou, China, 3MR Research, GE Healthcare, Beijing, China, 4School of Medical Imaging, Hangzhou Medical College, HangZhou, China, 5Department of Psychiatry, Zhejiang Provincial People’s Hospital of Hangzhou Medical College, HangZhou, China Keywords: Functional Connectivity, fMRI (resting state) Motivation: In Alzheimer’s Disease (AD) spectrum disorders, rs-fMRI signals in the cerebral cortex may possess distinct characteristics across different frequency ranges. Goal(s): To investigate potential alterations in functional connectivity among patients with amnestic mild cognitive impairment (aMCI) and AD and to determine whether these changes vary across different frequency bands. Approach: The changes in functional connectivity were analyzed using the VMHC and DC metrics in patients with aMCI and AD across three frequency bands:classic, slow-5, and slow-4. Results: Notable changes in functional connectivity were observed across multiple brain regions in patients with aMCI and AD, with the most pronounced in slow-5 frequency band.
Impact: This study further advances our comprehension of the pathological and physiological mechanisms associated with AD. Furthermore, it highlights the significance of researchers taking into account various frequency bands in their investigations of brain function. |
| 4410.
 | 85 | Functional alterations in white-gray matters bipartite network in preclinical Alzheimer’s disease Lyuan Xu1,2, Yu Zhao1,3, Muwei Li1,3, Kurt G. Schilling1,3, Richard D. Lawless1, Soyoung Choi1,3, Baxter P. Rogers1,3,4,5, Zhaohua Ding1,2, Adam W. Anderson1,3,6, Bennett A. Landman1,2,3,4,5,6, John C. Gore1,3,6, and Yurui Gao1,6
1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 2Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States, 3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Computer Science, Vanderbilt University, Nashville, TN, United States, 6Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States Keywords: Functional Connectivity, Alzheimer's Disease, Preclinical AD Motivation: The significance of changes in functional connectivity (FC) measures involving white matter (WM) at preclinical stages of Alzheimer’s disease (AD) remains unclear. Goal(s): Our goal was to reveal alterations in correlations in BOLD signals between WM and gray matter (GM) in the AD continuum, focusing on preclinical AD. Approach: We used a novel bipartite graph model to evaluate network properties at multi-scales and compared preclinical AD, AD subjects with controls. Results: We found declines in local specific WM-GM FC and WM FC density, without a manifest decline in global efficiency of WM-involved functional networks in the preclinical AD group. Impact: Our observation of a decline in local WM-GM FC and WM FC density
but an intact global efficiency of functional networks in preclinical AD may
help explain why cognition remains normal despite the presence of pathology during
the preclinical stage. |
| 4411.
 | 86 | Functional Network-Based Statistics Reveal Abnormal Resting-State Functional Connectivity in Parkinson’s Disease with Apathy Haikun Xu1, Sha Sa1, Yueluan Jiang2, Mengchao Zhang1, and Lin Liu1
1The Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, China, 2MR Research Collaboration, Siemens Healthineers, Beijing, China Keywords: Functional Connectivity, fMRI (resting state), Parkinson’s disease, apathy, network-based statistics Motivation: Apathy is a common and disabling symptom of Parkinson’s disease (PD), yet brain networks involved in Patients with PD with apathy (PD-A) remain underexplored. Goal(s): The aim of our study was to identify brain networks of PD-A using network-based statistics (NBS). Approach: Resting-state fMRI data was obtained from twenty-eight patients with PD-A, 19 PD patients without apathy (PD-NA), and 32 healthy controls (HCs). A network-based statistic analysis was used to isolate networks of interconnected nodes that differ among the three groups. Results: PD-A showed decreased connectivities in control network, default network, attention network, somatomotor network, temporoparietal network, and visual network. Impact: We performed NBS
analysis to identify brain networks
related to PD-A at the whole-brain functional connectome level for the first
time. NBS is a validated
nonparametrical statistical approach for understanding the neural mechanisms of
PD-A. |
| 4412.
 | 87 | Spatio-temporal Consistency Analysis of Cerebral Small Vessel Disease: A fMRI study Jie Yang1, Yujian Liu1,2, Yantao Hang1, Hengping Wu1, Chunyan Zheng1, Meining Chen3, Qin Zhang4, and Jianquan Zhong1
1Department of Radiology, First People's Hospital of Zigong City, Zigong, China, 2Sichuan Vocational College of Health and Rehabilitation, Zigong, China, 3MR Research Collaboration, Siemens Healthineers, Chengdu, China, 4MRI clinical application, Customer Service Department, Siemens Digital Medical Technology Co., LTD, Shanghai, China Keywords: fMRI Analysis, fMRI (resting state), Cerebral small vessel disease; FOCA; SVD score Motivation: Cerebral small vessel disease (SVD) affects older adults, but traditional approaches have limited understanding of the neural mechanisms of SVD. Goal(s): To explore the effects of SVD on brain regions and its relationship to cognitive decline by FOCA method.
Approach: MRI data from 42 SVD patients and 38 controls were analyzed using FOCA values, and the correlation between FOCA values of SVD patients and SVD score was explored. Results: Different FOCA value changes in SVD patients were associated with regions of cognitive function. Impact: This
study has the potential to improve our understanding of the neural mechanisms
of SVD, suggesting that FOCA values provide a new method to analyzing changes
in cognitive function. |
| 4413.
 | 88 | Blood supply may affect the prognosis of meningiomas: a retrospective study based on Territorial Arterial Spin Labelling Yuqi Zhu1, Dongdong Wang1, Xuanxuan Li1, Yajing Zhao1, Nan Mei1, Yiping Lu1, and Bo Yin1,2
1Huashan Hospital, Fudan University, Shanghai, China, 2Radiology, Huashan Hospital North, Fudan University, Shanghai, China Keywords: fMRI Analysis, Brain Motivation: To explore the relationship between blood supply and prognosis of meningioma. Goal(s): Whether meningioma mainly supplied by the internal and external carotid artery (ICA and ECA) have different prognosis and symptoms, and the relationship between prognosis with blood supply and other clinical characteristics (including age, gender, tumor volume etc.). Approach: Territorial Arterial Spin Labelling was used to identify the feeding arteries of meningioma and divide patients into different blood supply groups. Results: Meningioma supplied by ICA had worse prognosis than ECA. Dizziness and headache were the most common symptoms in ICA and ECA groups, respectively. Age and pathological grading had effect on prognosis. Impact: Blood supply of meningioma was a prognosis-related factor, which was related to clinical symptoms and pathological results of patients, making it more crucial for neurosurgeons in planning surgery as well as evaluating prognosis.
|
| 4414.
 | 89 | Comparative analysis of brain network connectivity changes in Alzheimer's and Parkinson's disease with mild cognitive impairment: an ICA study Juzhou Wang1, Guoguang Fan1, and Yueluan Jiang2
1The first hospital of China Medical University, Shenyang, China, 2MR Research Collaboration,Siemens Healthineers,Beijing China, Beijing, China Keywords: fMRI Analysis, Alzheimer's Disease, Parkinson's Disease fMRI Motivation: The pathogenesis of cognitive dysfunction may be different, particularly in terms of macroscopic manifestations within neural transmission pathways, which still require further exploration. Goal(s): The aim of this study was to quantify changes in fMRI intra and inter-network connectivity in AD-MCI and PD-MCI using independent component analysis (ICA). Approach: Nine RSNs were identified in 33 AD-MCI, 55 PD-MCI and 34 HCs using ICA method, and further their intra-and inter-network FC were compared in three groups. Results: The results showed that the brain network changes in AD-MCI patients and PD-MCI patients were mainly concentrated in different brain network. Impact: By investigating
the pathways and compensatory mechanisms underlying cognitive dysfunction
arising from different etiologies, we aim to explore potential imaging-based
diagnostic approaches and therapeutic strategies for clinical treatment
strategy, which is enhancing the prognosis and quality of life for patients. |
| 4415.
 | 90 | Comparative Analysis of Interpretable Machine Learning Approaches for Major Depressive Disorder Discrimination using rsfMRI Wenting Jiang1, Chengcheng Zhang2, and Peng Cao1
1Department of Diagnostic Radiology, the University of Hong Kong, Hong Kong, Hong Kong, 2Department of Neurosurgery, Clinical Neuroscience Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Ruijin-miHoYo lab, Clinical Neuroscience Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ShangHai, China Keywords: fMRI Analysis, fMRI (resting state) Motivation: Resting-state functional magnetic resonance imaging (rsfMRI) holds significant promise as a predictive tool for assessing treatment response in individuals with major depressive disorder (MDD). Goal(s): We aim to assess the credibility of model predictions using various explainers and identify the most salient regions contributing to MDD discrimination. Approach: 3 representatives of explainable machine learning methods (CAM, LIME, SHAP) are employed in this study to explain model prediction in various views. Results: This study demonstrates the superiority of LIME and SHAP for model explanation in the task of MDD discrimination using rsfMRI. Impact: Our findings will provide effective guidance for the clinical diagnosis and treatment of MDD. |
| 4416.
 | 91 | Altered task-residual effective connectivity of motor and memory network in transient ischemic attack Truc Chu1,2, Seonjin Lee1,2, Il-Young Jung3, Youngkyu Song4, Hyun Ah Kim5, Anh Nguyen1,2, Jong Wook Shin6, and Sungho Tak1,2
1Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, Korea, Republic of, 2Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Korea, Republic of, 3Department of Rehabilitation Medicine, Chungnam National University Sejong Hospital, Sejong, Korea, Republic of, 4Bio-Chemical Analysis Team, Korea Basic Science Institute, Cheongju, Korea, Republic of, 5Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon, Korea, Republic of, 6Department of Neurology, Chungnam National University Sejong Hospital, Sejong, Korea, Republic of Keywords: Functional Connectivity, fMRI, Effective Connectivity Motivation: Little is known about underlying brain mechanisms that contribute to heightened risk of stroke and impairments in cognitive and motor functions of patients with transient ischemic attack (TIA). Goal(s): Our aim was to investigate abnormal effective connectivity in TIA during motor and working memory tasks. Approach: Spectral dynamic causal modelling with 7T fMRI was used to estimate the task-residual effective connectivity elicited during fist-closing and n-back tasks. Results: Patients with TIA showed increased effective connectivity toward the ipsilateral M1 and reduced connectivity to the SMA and PMC durn motor task, as well as increased connectivity among the PAR and CC during n-back tasks. Impact: The findings of aberrant
task-residual effective connectivity within the motor and working memory networks in
patients with TIA indicate potential
decreased neural efficiency and disrupted control of motor and working memory functions,
contributing to the physiological alterations in these individuals. |
| 4417.
 | 92 | Location matters: Altered interhemispheric homotopic connectivity in post-stroke dyskinesia Changjiang Zhao1,2, Haibo Xu1, Chengxin Yu2, Lei Gao1, Junlong Pan 2, Long Chen2, Can Zhang2, Jiangjin Chen2, Li Zhu2, Xiong Xiong2, and Xiance Zhao3
1Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China, 2Department of Radiology, The First College of Clinical Medical Science of China Three Gorges University, Yichang, China, 3Philips Healthcare, Shanghai, China Keywords: Functional Connectivity, Stroke, functional connectivity Motivation: How stroke at different locations affects homotopic connectivity remains incompletely understood. Goal(s): This study aimed to examine how motor deficits resulting from acute stroke in different brain regions impact homotopic connectivity. Approach: Patients with dyskinesia were included and divided into 4 demographically matched subgroups by stroke location: frontoparietal, radiation coronal, basal ganglia, and brain stem. Additional 37 matched healthy controls were also recruited. Interhemispheric homotopic functional and structural connectivity was obtained by resting-state functional MRI and diffusion tensor imaging. Results: Our results suggest that post-stroke motor deficits in different regions implicate different links from cortical to subcortical areas. Impact: Alterations in lesion topography and regional functional homotopy
provide new insights into the understanding of neural basis of motor disorders
and also inform potential individualized precisive targets. |
| 4418.
 | 93 | Evolution of resting-state network efficiency after stroke: an individual confrontation with the norm. Liesjet E.H. van Dokkum1, Jeremy Deverdun1, Guillaume Clain1, Nicolas Menjot de Champfleur2,3, Isabelle Laffont4,5, and Emmanuelle le Bars1
1I2FH, CHU Montpellier, Montpellier, France, 2Neuroradiology, CHU Montpellier, Montpellier, France, 3Charles Coulomb Laboratory, UM Montpellier, Montpellier, France, 4Physical Rehabilitation Medicine, CHU Montpellier, Montpellier, France, 5Euromov DHM, UM Montpellier, Montpellier, France Keywords: Functional Connectivity, fMRI (resting state), rehabilitation Motivation: To provide personalized rehabilitation after stroke, we need to identify brain biomarkers that inform us about what differs from a normal organization to target rehabilitation accordingly. Goal(s): Evaluate the potential of a norm-based functional brain network organization analysis in the individual follow-up post-stroke. Approach: Compare fMRI resting-state network functioning of 21 people post-stroke before and after rehabilitation with the norm, based on 569 controls, while taking into account the motor deficit. Results: Using a norm, we showed that targeted motor rehabilitation improves the motor network efficiency for recovering patients, whereas executive network efficiency remained suboptimal, potentially negatively interfering with motor recovery. Impact: Comparing
people with a norm, not only post-stroke but also with other central neurological
deficits, facilitates personalized medicine, for instance by providing targets
for non-invasive brain stimulation, or by identifying processes that require
specific training, like attention direction or proprioception. |
| 4419.
 | 94 | Regional impairments in cerebrovascular reactivity in Fontan patients: fMRI CO2 challenge Botian Xu1,2, Clio González-Zacarías2,3, Sneha Verma2, Emma Carpenter2, Jian Shen1,2, Soyoung Choi4, Silvie Suriany2, Peter Chiarelli5, Anand Joshi3, Richard Leahy3, and John Wood2,6
1Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 3Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California Viterbi School of Engineering, Los Angeles, CA, United States, 4Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 5Pediatric Neurosurgery, Children's Hospital Los Angeles, Los Angeles, CA, United States, 6Pediatrics CHLA, Keck School of Medicine of USC, Los Angeles, CA, United States Keywords: fMRI Analysis, fMRI (resting state), Fontan, cerebrovascular reserve, CVR, BOLD Motivation: Despite their high risk for cerebral injuries and neurocognitive deficits, cerebrovascular health in single ventricle heart disease (SVHD) patients is understudied. Goal(s): Quantifying cerebrovascular reserve (CVR) in SVHD patients will determine the susceptibility of these patients to acute interruptions in oxygen delivery or increased metabolic demand. Approach: In this study, we used blood oxygenation level-dependent BOLD-MRI under CO2 challenge to measure CVR in patients who underwent Fontan palliation and in control subjects. Results: Regional, but not global differences, were shown in CVR between Fontan versus healthy controls. Impact: An important prognostic indicator of cerebrovascular integrity is the ability of blood vessels to dilate or constrict in response to a stimulus, measured by CVR. Therefore, quantifying CVR in SVHD patients will determine their susceptibility to increased metabolic demands. |
| 4420.
 | 95 | Alterations in the Pain-Related Functional Matrix among RCVS Patients during Resting-State fMRI. Tun-Wei Hsu1,2,3, Hsiu-Mei Wu1,4, and Jiing-Feng Lirng1,4
1Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan, 2National Yang-Ming Chiao Tung University, Department of Biomedical Imaging and Radiological Sciences, Taipei, Taiwan, 3Department of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology, Hsinchu, Taiwan, 4School of Medicine, College of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan Keywords: Functional Connectivity, Brain Connectivity Motivation: Reversible cerebral vasoconstriction syndrome (RCVS) is a severe headache condition marked by recurrent explosive headaches. We investigate changes in the functional connectivity of brain regions associated with pain matrix in both RCVS patients and healthy controls. Goal(s): Our hypothesis the functional connectivity mechanisms underlying pain processing differ between two groups. Approach: We utilizing rs-fMRI imaging with graph theory analysis. Results: The findings contribute to a more profound comprehension of the activation processes occurring within brain regions responsible for pain perception RCVS patients.We ascertain whether the mechanisms of pain processing in RCVS patients deviate from those observed in healthy controls. Impact: We utilizing rs-fMRI imaging with graph theory to investigate functional connectivity mechanisms of pain matrix. The findings contribute comprehension of the activation processes occurring within brain regions responsible for pain perception RCVS patients deviate from those observed in healthy controls. |
| 4421. | 96 | Correlations between cognitive reserve, brain and cerebrospinal fluid volume in mild cognitive impairment patients Wenxia Yang1, Liang Zhou1, and Jing Zhang1
1lanzhou university second hospital, lanzhou, China Keywords: fMRI Analysis, Alzheimer's Disease, cognitive reserve, brain volume, cognitive function, cerebrospinal fluid, mild cognitive impairment Motivation: Cognitive reserve (CR), which can preserve cognitive function despite underlying neuropathology, explains at least some variability in cognitive performance. Goal(s): To explore the effect of CR on brain and CSF volume in patients with MCI and healthy elders (HC). Approach: The study population included 31 HC and 50 MCI patients were collected in this study to obtain high-resolution 3D-T1 structure images, cognitive function and composite CR scores. Results: The results showed that cognitive reserve was significantly associated with cognitive performance. Some brain and CSF volumes correlate with cognitive reserve. Cognitive reserve affects cognitive performance by reducing the volume of the right parahippocampal gyrus. Impact: Our study provides evidence that CR protects neurocognitive function in the preclinical stages of AD, particularly in the right parahippocampal gyrus, through mechanisms that modulate brain and CSF volume. |