Article
Neuroimaging
Longfei Li, Wei Yang, Yu Wan, Hailong Shen, Ting Wang, Liangliang Ping, Chuanxin Liu, Min Chen, Hao Yu, Shushu Jin, Yuqi Cheng, Xiufeng Xu, Cong Zhou
Summary: This study used diffusion tensor imaging (DTI) to examine white matter microarchitecture alterations in patients with mild cognitive impairment (MCI). The results showed significant changes in multiple regions of the brain, including the corpus callosum and left striatum. These findings contribute to our understanding of the neuropathological mechanism underlying MCI.
BRAIN IMAGING AND BEHAVIOR
(2023)
Review
Geriatrics & Gerontology
Xia Wei, Chunyan Luo, Qian Li, Na Hu, Yuan Xiao, Nian Liu, Su Lui, Qiyong Gong
Summary: This study utilized meta-analysis to identify the most prominent and replicable white matter abnormalities in Parkinson's disease patients. Results showed FA reduction in the body of the corpus callosum and the left inferior fronto-occipital fasciculus. Additionally, a positive correlation between the percentage of male PD patients and FA values in the corpus callosum body was found.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Neurosciences
Harri Merisaari, Linnea Karlsson, Noora M. Scheinin, Satu J. Shulist, John D. Lewis, Hasse Karlsson, Jetro J. Tuulari
Summary: This study analyzed DTI images of 133 neonates, finding significant bias in ROI values when only 6 directions were used, while the difference to scalar values calculated from 54 direction DTI was negligible when using 24 directions and above. Therefore, DTI measurements from data with at least 24 directions may be used in comparisons with DTI measurements from data with higher numbers of directions.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2023)
Article
Geriatrics & Gerontology
Hikaru Sugimoto, Mihoko Otake-Matsuura
Summary: Diffusion tensor imaging (DTI) is used to investigate white matter properties in the brain. This study aims to examine the effects of a cognitive intervention program (PICMOR) on older adults' cognitive function and white matter fiber health. Results showed improved verbal fluency task scores in the intervention group compared to the control group. Tract-based spatial statistics analyses revealed higher FA values and lower MD, AD, or RD values in the intervention group across various fiber tracts. The findings suggest left frontal white matter structures may be responsible for the enhancement of verbal fluency.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Clinical Neurology
Shirui Cheng, Xiaohui Dong, Jun Zhou, Chenjian Tang, Wenhua He, Yang Chen, Xinyue Zhang, Peihong Ma, Tao Yin, Yimei Hu, Fang Zeng, Zhengjie Li, Fanrong Liang
Summary: Patients with knee osteoarthritis (KOA) exhibit structural and functional alterations in white matter, as revealed by magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI). Extensive white matter changes are observed in sensorimotor and pain-related regions in KOA patients. Additionally, a negative correlation is found between disease severity and white matter abnormalities in KOA.
FRONTIERS IN NEUROLOGY
(2022)
Article
Veterinary Sciences
Kiyotaka Arai, Takamasa Itoi, Natsuki Akashi, Masahiro Miyabe, Keisuke Sugimoto, Akira Matsuda, Noritaka Maeta, Teppei Kanda, Kenji Kutara
Summary: This study performed diffusion tensor imaging (DTI) scans on adult Beagle dogs and analyzed DTI parameters in different regions. The results showed that DTI parameters significantly decreased in the caudal direction, but were not significantly correlated with vertebral levels. These findings contribute to the development of a clinical reference for evaluating spinal cord in dogs using DTI parameters.
VETERINARY SCIENCES
(2023)
Review
Endocrinology & Metabolism
Cong Zhou, Jie Li, Man Dong, Liangliang Ping, Hao Lin, Yuxin Wang, Shuting Wang, Shuo Gao, Ge Yu, Yuqi Cheng, Xiufeng Xu
Summary: This meta-analysis examined white matter microstructural alterations in patients with type 2 diabetes mellitus and found reductions in fractional anisotropy in the left inferior network, corpus callosum, and left olfactory cortex. Additionally, a negative correlation was observed between fractional anisotropy in the corpus callosum and BMI in the patient group.
FRONTIERS IN ENDOCRINOLOGY
(2021)
Article
Psychology, Developmental
Jian Cui, Zhonggang Wang, Yinghong Xu, Ying Li, Hao Yu, Liangliang Ping, Shushu Jin, Yuqi Cheng, Xiufeng Xu, Yuebing Zhang, Cong Zhou
Summary: This study conducted an updated coordinate-based meta-analysis (CBMA) combined with tract-based spatial statistics (TBSS) to determine the most prominent and robust white matter abnormalities in ADHD patients. The results showed that age-related FA decrease in the splenium of corpus callosum (CC) was observed in ADHD individuals, and reduced FA clusters were found in the splenium and body of CC in adults with ADHD. This study provides new insights into the pathogenesis of ADHD.
JOURNAL OF ATTENTION DISORDERS
(2023)
Article
Clinical Neurology
Jian Yang, Xiaowei Jiang, Shengnan Wei, Xin Deng, Yue Zhu, Miao Chang, Zhiyang Yin, Haiyang Geng, Yanqing Tang, Xu Dai
Summary: Compared to DTI parameters, DKI parameters showed more sensitivity and stability in probing the local microstructure, especially in exploring cerebral alterations in BD patients.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Geriatrics & Gerontology
Yahui Ouyang, Dong Cui, Zilong Yuan, Zhipeng Liu, Qing Jiao, Tao Yin, Jianfeng Qiu
Summary: Population aging has led to a focus on changes in elderly brains, particularly in white matter fibers. This study used various parameters to analyze age-related changes in white matter fibers, finding significant differences in FA, MD, AD, and RD between young and middle-age groups. Deterministic fiber tracking showed a correlation between fiber length and age, with specific fibers identified as potential image markers for age-related white matter changes.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Clinical Neurology
Lin Mei, Xiaodan Li, Guifei Zhou, Tingting Ji, Jun Chen, Zhifei Xu, Yun Peng, Yue Liu, Hongbin Li, Jie Zhang, Shengcai Wang, Yamei Zhang, Wentong Ge, Yongli Guo, Yue Qiu, Xinbei Jia, Jinghong Tian, Li Zheng, Jiangang Liu, Jun Tai, Xin Ni
Summary: The study found that male children with severe OSA demonstrated more severe issues in neurocognition, attention, sleep quality, and brain white matter integrity compared to those with mild OSA, while no significant differences were observed in female children.
Article
Neurosciences
Xi Lan, Xin-Yi Zhu, Wei-Xian Bai, Hui-Ping Liu, Hui Wang, Wang-Huan Dun, Chen-Guang Guo, Ming Zhang, Xuan Niu
Summary: This study found extensive white matter changes in patients with chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS), which are involved in pain processing. Particularly, the FA, MD, and RD values in the left posterior limb of the internal capsule (PLIC-L) were correlated with the disease duration, indicating that the long-term course of CP/CPPS may affect the white matter microstructure of the pain perception pathways.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2023)
Article
Neurosciences
Yingteng Zhang, Feibiao Zhan
Summary: This study found that the corona radiata, corpus callosum and superior longitudinal fasciculus were the white matter fiber tracts mainly affected in AD patients. Additionally, the integration of FA, MD, and RD into multi-metric could effectively distinguish AD patients from healthy controls.
JOURNAL OF INTEGRATIVE NEUROSCIENCE
(2023)
Article
Clinical Neurology
Yeun Jie Yoo, So Yeon Jun, Eun Jin Park, Youngkook Kim
Summary: This study aimed to determine the measurement accuracy of the structural integrity of the corticospinal tract (CST) using diffusion tensor imaging. The results showed that the structural integrity measurements at the pontomedullary junction or entire CST demonstrated the highest accuracy in the subacute phase of stroke for assessing upper limb function.
Review
Neuroimaging
Rahil Rahimi, Mahsa Dolatshahi, Fatemeh Abbasi-Feijani, Sara Momtazmanesh, Giulia Cattarinussi, Mohammad Hadi Aarabi, Lorenzo Pini
Summary: The pathophysiology of migraine as a headache disorder is still undetermined, but DTI studies have provided valuable insights into the microstructural changes associated with this disease. Alterations in diffusion parameters have been observed in various brain regions, including white matter tracts, subcortical areas, and the cortex. These changes show variability across migraine cycle phases, and are also observed in patients with depressive/anxiety symptoms. However, there are inconsistent findings regarding the differences between chronic and episodic migraine. Overall, migraine is associated with microstructural changes in widespread regions of the brain, which may reflect neuronal damage and plasticity mechanisms.
BRAIN IMAGING AND BEHAVIOR
(2022)
Article
Psychology, Clinical
Scott W. Delaney, Yllza Xerxa, Ryan L. Muetzel, Tonya White, Sebastien Haneuse, Kerry J. Ressler, Henning Tiemeier, Laura D. Kubzansky
Summary: The study suggests that positive prenatal family environments may have lasting benefits on white matter neurodevelopment in preadolescence, which can reduce the risk of behavior problems.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Psychology, Developmental
Na Luo, Xiangsheng Luo, Suli Zheng, Dongren Yao, Min Zhao, Yue Cui, Yu Zhu, Vince D. Calhoun, Li Sun, Jing Sui
Summary: This study investigates the temporal and frequency abnormalities in ADHD and its subtypes using high-density EEG. The results show differences in the salience network and frequency power between ADHD patients and healthy controls. Subtype differences primarily exist in the visual network, with ADHD-C patients showing a more activated visual network. Furthermore, the support vector machine model achieves high accuracy in classifying ADHD and its subtypes.
EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
(2023)
Article
Neurosciences
Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, Theo G. M. van Erp, Vince D. Calhoun
Summary: Characterizing neuropsychiatric disorders is challenging, but combining structural and functional neuroimaging with genomic data in a multimodal classification framework can improve the classification of disorders and explore underlying neural and biological mechanisms. By developing neural networks for feature learning and implementing an adaptive control unit for fusion, we achieved high accuracy in schizophrenia prediction and identified critical neural features and genes/biological pathways associated with the disorder.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Kaicheng Li, Qingze Zeng, Xiao Luo, Shile Qi, Xiaopei Xu, Zening Fu, Luwei Hong, Xiaocao Liu, Zheyu Li, Yanv Fu, Yanxing Chen, Zhirong Liu, Vince D. Calhoun, Peiyu Huang, Minming Zhang
Summary: The study found that concomitant neuropsychiatric symptoms are associated with accelerated Alzheimer's disease progression. Using multimodal brain imaging, a pattern associated with these symptoms was identified and found to be correlated with the development of Alzheimer's disease. The pattern was also found to be associated with multiple cognitive domains and could predict cognitive decline.
HUMAN BRAIN MAPPING
(2023)
Article
Clinical Neurology
Jordan L. Schultz, Douglas R. Langbehn, Hend M. Al-Kaylani, Ellen van der Plas, Timothy R. Koscik, Eric A. Epping, Patricia B. Espe-Pfeifer, Erin P. Martin, David J. Moser, Vincent A. Magnotta, Peggy C. Nopoulos
Summary: This study aimed to quantify disease progression in juvenile-onset Huntington's disease (JOHD) and explore its application in clinical trials. The results demonstrate that structural brain imaging and clinical measures in JOHD may serve as potential biomarkers of disease progression.
MOVEMENT DISORDERS
(2023)
Article
Computer Science, Interdisciplinary Applications
Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tulay Adali
Summary: Identification of informative signatures from electrophysiological signals is important for understanding brain developmental patterns. This study proposes a tensor-based approach for extracting developmental signatures of multi-subject MEG data. The results demonstrate that this approach can produce descriptive features of the multidimensional MEG data and be used to study group differences in brain patterns and cognitive function of healthy children.
Article
Computer Science, Interdisciplinary Applications
Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kumaran Kalyanaraman, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivieres, Meera Purushottam, Dimitri Papadopoulos Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rudiger Bruhl, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Eric Artiges, Frauke Nees, Tomas Paus, Luise Poustka, Juliane H. Frohner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun
Summary: With the growth of decentralized/federated analysis approaches in neuroimaging, the opportunities to study brain disorders using data from multiple sites has grown multi-fold. One such initiative is the Neuromark, a fully automated spatially constrained independent component analysis (ICA) that is used to link brain network abnormalities among different datasets, studies, and disorders while leveraging subject-specific networks.
Article
Computer Science, Information Systems
Xiang Li, Sheri L. Towe, Ryan P. Bell, Rongtao Jiang, Shana A. Hall, Vince D. Calhoun, Christina S. Meade, Jing Sui
Summary: Neurocognitive impairment is common in people living with HIV, and identifying reliable biomarkers is crucial for understanding neural foundations and clinical care. This study used connectome-based predictive modeling to predict cognitive functioning in PLWH, achieving high prediction accuracy by combining multiple modalities and incorporating clinical measures.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Computer Science, Information Systems
Ying Xing, Peter Kochunov, Theo G. M. van Erp, Tianzhou Ma, Vince D. Calhoun, Yuhui Du
Summary: Feature selection is important in identifying biomarkers of mental disorders. In this study, a new method based on neighborhood rough set (NRS) was proposed to select biomarkers of schizophrenia using fMRI data. The method combined NRS with information entropy and multi-granularity fusion to obtain the most discriminative features. The method achieved higher classification accuracies compared to other methods, revealing meaningful substrates of schizophrenia. This study highlights the potential of exploring neuroimaging-based biomarkers using the NRS-based feature selection method.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Review
Clinical Neurology
Ashley D. Harris, Houshang Amiri, Mariana Bento, Ronald Cohen, Christopher R. K. Ching, Christina Cudalbu, Emily L. Dennis, Arne Doose, Stefan Ehrlich, Ivan I. Kirov, Ralf Mekle, Georg Oeltzschner, Eric Porges, Roberto Souza, Friederike I. Tam, Brian Taylor, Paul M. Thompson, Yann Quide, Elisabeth A. Wilde, John Williamson, Alexander P. Lin, Brenda Bartnik-Olson
Summary: Magnetic resonance spectroscopy (MRS) is a powerful and non-invasive imaging technique that quantitatively measures brain metabolites and has utility in diagnosing and characterizing neurological diseases. However, its impact has been limited by small sample sizes, methodological variability, and intrinsic limitations. This manuscript provides an overview of MRS data harmonization, including key considerations for retrospective and prospective studies, and various approaches to harmonization. The goal is to provide knowledge for conducting MRS data harmonization studies.
FRONTIERS IN NEUROLOGY
(2023)
Article
Biochemistry & Molecular Biology
Victoria-Luise Batury, Friederike I. Tam, Inger Hellerhoff, Marie-Louis Wronski, Katrin Borucki, Kerstin Weidner, Veit Roessner, Wei Gao, Stefan Ehrlich
Summary: Anorexia nervosa (AN) is a complex psychiatric disorder that affects endocrine system. Previous short-term measurement methods have shown altered levels of sex steroid hormones in AN patients. This study aimed to use hair-based assessments to investigate sex steroid hormone levels in underweight AN patients compared to healthy controls, as well as the changes in hormone levels during inpatient treatment. The results indicate that hair hormone levels of DHEA were similar between the groups, but progesterone was suppressed in underweight AN patients. There was no significant change in hair hormone levels during weight restoration. Hair analysis can be used to detect suppressed progesterone levels in severe AN patients.
Article
Neurosciences
Noah Lewis, Robyn Miller, Harshvardhan Gazula, Vince Calhoun
Summary: Deep learning is effective for classifying biological sex based on fMRI, but research on the most relevant brain features for this classification is lacking. Model interpretability is important for understanding deep learning models, but little work has been done on the relationship between temporal dimension of fMRI signals and sex classification. In this study, a methodology is provided to address underspecification and instability in feature explanation models, and sex differences in functional brain networks are explored using intrinsic connectivity networks.
Article
Psychiatry
Kuaikuai Duan, Jiayu Chen, Vince D. D. Calhoun, Wenhao Jiang, Kelly Rootes-Murdy, Gido Schoenmacker, Rogers F. F. Silva, Barbara Franke, Jan K. K. Buitelaar, Martine Hoogman, Jaap Oosterlaan, Pieter J. J. Hoekstra, Dirk Heslenfeld, Catharina A. A. Hartman, Emma Sprooten, Alejandro Arias-Vasquez, Jessica A. A. Turner, Jingyu Liu
Summary: In this study, a genomic pattern underlying the gray matter variation in the frontal cortex related to working memory deficit in ADHD was revealed through a multivariate analysis. The identified genes are involved in modulating neuronal substrates underlying high-level cognition in ADHD, providing insights into the pathology of ADHD persistence.
TRANSLATIONAL PSYCHIATRY
(2023)
Article
Psychology, Biological
Sobanawartiny Wijeakumar, Samuel H. Forbes, Vincent A. Magnotta, Sean Deoni, Kiara Jackson, Vinay P. Singh, Madhuri Tiwari, Aarti Kumar, John P. Spencer
Summary: Stunting in infancy has a negative impact on visual working memory and attention in infants, affecting their long-term cognitive outcomes. Intervention efforts should focus on improving working memory and reducing distractibility in infancy.
NATURE HUMAN BEHAVIOUR
(2023)
Article
Neurosciences
Victoria A. Mueller Ewald, Jessica R. Purnell, Joel E. Bruss, Ercole J. Barsotti, Amro S. Aldine, Kurayi G. Mahachi, John A. Wemmie, Vincent A. Magnotta, Aaron D. Boes, Krystal L. Parker, Jess G. Fiedorowicz
Summary: This study found a higher incidence of posterior fossa arachnoid cysts (PFACs) in bipolar disorder patients and suggested that those with PFACs may have milder symptoms. The findings align with prior research and suggest an association between PFACs and psychiatric symptoms.
