Review
Neurosciences
Tadashi Shiohama, Keita Tsujimura
Summary: This article discusses the neurological manifestations of congenital genetic disorders and the use of neuroimaging studies in diagnosing and evaluating these disorders.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ilaria Boscolo Galazzo, Lorenza Brusini, Muge Akinci, Federica Cruciani, Marco Pitteri, Stefano Ziccardi, Albulena Bajrami, Marco Castellaro, Ahmed M. A. Salih, Francesca B. Pizzini, Jorge Jovicich, Massimiliano Calabrese, Gloria Menegaz
Summary: This study investigated the morphometric and microstructural differences in gray matter between PPMS and RRMS using MRI, revealing significant alterations between the two phenotypes, particularly in the hippocampus. The support vector machine classifier based on selected features showed a 70% accuracy and 69% precision in discriminating between the two MS groups. These findings highlight the potential of dMRI in distinguishing between PPMS and RRMS and emphasize the central role of the hippocampus in MS pathology.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Neurosciences
Xing Yao, Benjamin Klugah-Brown, Hang Yang, Bharat Biswal
Summary: The study examines the genetic underpinnings of the human brain by comparing MRI data from twins and unrelated individuals. The results show that twins have a higher degree of similarity in brain structure and function, supporting the hypothesis of a genetic influence on these traits.
Article
Neurosciences
Martin Cole, Kyle Murray, Etienne St-Onge, Benjamin Risk, Jianhui Zhong, Giovanni Schifitto, Maxime Descoteaux, Zhengwu Zhang
Summary: There is increasing interest in studying the relationship between structural connectivity (SC) and functional connectivity (FC) using diffusion and functional MRI. A novel atlas-free approach called Surface-Based Connectivity Integration (SBCI) is proposed to accurately study the relationships between SC and FC. Using data from the Human Connectome Project, high-quality SC-FC coupling measures produced by SBCI were introduced and used to study sex differences in young adults, showing promise for future connectomics studies.
HUMAN BRAIN MAPPING
(2021)
Article
Clinical Neurology
Claire L. Maciver, Grace Bailey, Pedro Luque Laguna, Megan E. Wadon, Ann-Kathrin Schalkamp, Cynthia Sandor, Derek K. Jones, Chantal M. W. Tax, Kathryn J. Peall
Summary: Utilizing data from the UK Biobank, this study analyzed MRI images of individuals with primary dystonia and a control cohort, revealing microstructural differences in cerebellar and thalamic white matter connections, with less orientation dispersion being a potential component of the morphological changes implicated in dystonia.
JOURNAL OF NEUROLOGY
(2023)
Article
Neurosciences
Sara Touj, Daniel Gallino, Mallar M. Chakravarty, Gilles Bronchti, Mathieu Piche
Summary: This study investigates whole brain structural plasticity in a mouse model of congenital blindness using volumetric analyses on MRI images and histological sections. The results show smaller volumes in visual areas and larger volumes in olfactory areas, piriform cortex, orbital areas, and the amygdala in blind mice. The congruence of MRI and histological findings supports the use of MRI to investigate structural brain plasticity in mice.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Article
Psychology, Clinical
Tina Meller, Simon Schmitt, Ulrich Ettinger, Phillip Grant, Frederike Stein, Katharina Brosch, Dominik Grotegerd, Katharina Dohm, Susanne Meinert, Katharina Foerster, Tim Hahn, Andreas Jansen, Udo Dannlowski, Axel Krug, Tilo Kircher, Igor Nenadic
Summary: This study found the association between subclinical psychotic-like experiences and brain structural changes, supporting a dimensional model of the neural correlates of symptoms of the psychotic spectrum.
PSYCHOLOGICAL MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
M. O. Zubrikhina, O. V. Abramova, V. E. Yarkin, V. L. Ushakov, A. G. Ochneva, A. V. Bernstein, E. V. Burnaev, D. S. Andreyuk, V. B. Savilov, M. V. Kurmishev, T. S. Syunyakov, O. A. Karpenko, A. V. Andryushchenko, G. P. Kostyuk, M. G. Sharaev
Summary: Mild cognitive impairment (MCI) is a significant public health problem with profound effects on patients, their families, the healthcare system, and the economy. Early intervention for MCI can potentially delay or prevent the onset of dementia, thereby improving patients' quality of life. Therefore, our research aims to develop an MCI detection system using MRI-based measures.
COGNITIVE SYSTEMS RESEARCH
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shumei Li, Bin A. Wang, Cheng Li, Ying Feng, Meng Li, Tianyue Wang, Linghui Nie, Changhong Li, Wen Hua, Chulan Lin, Mengchen Liu, Xiaofen Ma, Jin Fang, Guihua Jiang
Summary: The study revealed gray matter volume changes in patients with insomnia disorder at different severity stages, which were related to sleep, mood, and cognitive measures. Increase in gray matter volume was observed in insomnia patients, with slight differences between subthreshold and clinical groups. In the clinical group, mood- and cognitive-related measures were positively correlated with GM volumes, while sleep-related measures showed a negative correlation.
EUROPEAN RADIOLOGY
(2021)
Article
Endocrinology & Metabolism
Jordan J. Wright, Aidan Dulaney, Jonathan M. Williams, Melissa A. Hilmes, Liping Du, Hakmook Kang, Alvin C. Powers, Daniel J. Moore, John Virostko
Summary: This study monitored the changes in pancreas size and shape after the diagnosis of type 1 diabetes (T1D) using magnetic resonance imaging (MRI). It found that pancreas volume and volume index declined in the first year after diagnosis and continued to decline in the fifth year. The shape of the pancreas was also altered in individuals with T1D. Additionally, the combined analysis of pancreas size and shape better distinguished individuals with T1D from controls.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Critical Care Medicine
Eun Namgung, Woo-Jung Song, Yong-Hwan Kim, Jin An, You Sook Cho, Dong-Wha Kang
Summary: The study found that patients with chronic refractory cough exhibited structural and functional alterations in the left frontal brain regions, which were associated with cough duration, severity, and psychological/social impact.
Article
Anatomy & Morphology
Stephanie Seidenbecher, Maria Schoene, Joern Kaufmann, Kolja Schiltz, Bernhard Bogerts, Thomas Frodl
Summary: The present study examined the structural brain characteristics in two healthy samples differing only in their propensity for aggressive behavior, revealing brain structural differences between the two groups in frontal and parietal brain areas critical for emotion processing/inhibition and empathy processes.
BRAIN STRUCTURE & FUNCTION
(2023)
Article
Neurosciences
Chunlian Chen, Bo Li, Shufen Zhang, Zhe Liu, Yu Wang, Minghe Xu, Yuqing Ji, Shuang Wang, Gang Sun, Kai Liu
Summary: In this study, brain structural alterations and relevant functional changes in patients with postpartum depression (PPD) were investigated. The findings revealed increased gray matter volume in the left dorsolateral prefrontal cortex, right precentral gyrus, and orbitofrontal cortex of PPD patients compared to healthy postnatal women. The functional connectivity between these regions also showed enhancement. Additionally, the increased gray matter volume in the left dorsolateral prefrontal cortex and the functional connectivity between the right precentral gyrus and right median cingulate gyrus were positively correlated with the severity of depression symptoms.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Pablo Mallaroni, Natasha L. Mason, Lilian Kloft, Johannes T. Reckweg, Kim van Oorsouw, Johannes G. Ramaekers
Summary: The study explored the relationship between repeated ayahuasca use and changes in brain morphology, finding that ayahuasca usage was associated with spatially distributed cortical patterning of both structural differentiation in sensorimotor areas and de-differentiation in transmodal areas. The cortical remodelling was correlated with dysregulation of 5-HT2A gene expression and a broader set of genes encoding target receptors relevant to ayahuasca effects.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Valerie Karl, Tim Rohe
Summary: Emotion recognition declines with age, but it is unclear whether this is due to structural brain changes. A study using voxel-based morphometry analysis found no correlation between gray matter volume changes and age-related decline in emotion recognition. However, exploratory analysis suggested that gray matter volume may be related to overall emotion recognition, although the effect size is small.
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
(2023)
Article
Biochemistry & Molecular Biology
Yuan Zhang, Longfei Du, Ying Bai, Bing Han, Cancan He, Liang Gong, Rongrong Huang, Ling Shen, Jie Chao, Pei Liu, Hongxing Zhang, Haisan Zhang, Ling Gu, Junxu Li, Gang Hug, Chunming Xie, Zhijun Zhang, Honghong Yao
MOLECULAR PSYCHIATRY
(2020)
Article
Neurosciences
Liang Gong, Huaisu Li, Dan Yang, Yinwei Peng, Duan Liu, Ming Zhong, Bei Zhang, Ronghua Xu, Jian Kang
FRONTIERS IN NEUROSCIENCE
(2020)
Article
Neuroimaging
Xi-Jian Dai, Na Wang, Si-Zhi Ai, Liang Gong, Weiqun Tao, Jingyi Fan, Jiubao Liu, Yongjun Wang
Summary: This study investigated the relationship between sleep-related networks in patients with chronic insomnia and good sleepers, finding that frequency-frequency couplings could serve as a useful biomarker for addressing insomnia-related brain networks. Functional deficits and network segregation may underlie the etiology of patients with chronic insomnia.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Clinical Neurology
Liang Gong, Ronghua Xu, Duan Liu, Chuantao Zhang, Qun Huang, Bei Zhang, Chunhua Xi
JOURNAL OF AFFECTIVE DISORDERS
(2020)
Editorial Material
Biochemistry & Molecular Biology
Yuan Zhang, Longfei Du, Ying Bai, Bing Han, Cancan He, Liang Gong, Rongrong Huang, Ling Shen, Jie Chao, Pei Liu, Hongxing Zhang, Haisan Zhang, Ling Gu, Junxu Li, Gang Hu, Chunming Xie, Zhijun Zhang, Honghong Yao
MOLECULAR PSYCHIATRY
(2020)
Article
Neuroimaging
Liang Gong, Siyi Yu, Ronghua Xu, Duan Liu, Xijian Dai, Zhengyan Wang, Youping Hu, Bohua Yan, Yu Kui, Bei Zhang, Fen Feng
Summary: Chronic insomnia disorder (CID) patients showed altered reward network connectivity in the salience and limbic networks, as well as decreased connectivity in the default mode network and within the reward circuit. Additionally, changes in reward network connectivity were associated with depression symptoms in CID patients, emphasizing the need to consider both insomnia and depression symptoms in future studies of CID.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Medicine, General & Internal
You-Cai Bi, Liang Gong
WORLD JOURNAL OF CLINICAL CASES
(2020)
Article
Medicine, Research & Experimental
Wei Peng, Xiaojuan Hong, Yaru Huangfu, Zhao Sun, Wei Shen, Fen Feng, Liang Gong, Zhifu Shen, Baojun Guo, Leixiao Zhang, Yanan Wang, Ying Zhao, Tianmin Zhu, Youping Hu, Siyi Yu
Summary: This study aims to provide scientific evidence for the mechanism of acupuncture in treating CID with GI disorder using multimodal MRI imaging data on brain structure, function, and metabolism.
Article
Neurosciences
Liang Gong, Min Shi, Jian Wang, Ronghua Xu, Siyi Yu, Duan Liu, Xin Ding, Bei Zhang, Xingping Zhang, Chunhua Xi
Summary: The study found abnormal LC-NE functional network in patients with CID, and the altered LC-NE function in dACC was associated with anxiety symptoms in CID. This extends the understanding of the neuropathological basis of CID and provides a potential treatment target for CID patients with anxiety.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Psychiatry
Liang Gong, Ronghua Xu, Dan Yang, Jian Wang, Xin Ding, Bei Zhang, Xingping Zhang, Zhengjun Hu, Chunhua Xi
Summary: This study used a machine learning approach to differentiate chronic insomnia disorder (CID) patients with depressive symptoms from those without depressive symptoms based on orbital frontal cortex (OFC) functional connectivity. The classification model based on OFC functional connectivity showed a total accuracy of 76.92%.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Neurosciences
Liang Gong, Kewu He, Fang Cheng, Zhenping Deng, Kang Cheng, Xi'e Zhang, Wenjun Zhou, Jing Ou, Jian Wang, Bei Zhang, Xin Ding, Ronghua Xu, Chunhua Xi
Summary: This study investigates alterations in the ascending arousal network (AAN) and its connections with cortical networks in chronic insomnia disorder (CID). The findings suggest that patients with CID exhibit increased functional connectivity within the AAN and between the AAN and several cortical networks. These AAN-related connectivity patterns can be used to differentiate CID patients from good sleeper controls (GSCs) with a high level of accuracy. Additionally, machine learning techniques were employed to predict insomnia and anxiety symptoms in CID patients, indicating the potential of fMRI-based markers and machine learning in evaluating insomnia and comorbid mental symptoms.
HUMAN BRAIN MAPPING
(2023)
Article
Clinical Neurology
Yang Yang, Wei Liang, Yongjun Wang, Dechang Peng, Liang Gong, Na Wang, Zhongjie Huang, Weikang Yang
Summary: The study aimed to investigate the pattern of volume changes in neurofunctional hippocampal subfields in patients with insomnia and their associations with risk of development of insomnia. Results showed that hippocampal volume atrophy in specific neurofunctional subfields was not only associated with insomnia but also a significant risk factor predicting the development of insomnia. The study also developed a practical and visual competing risk-nomogram tool for individual prediction of insomnia risk with high accuracy.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Liang Gong, Ronghua Xu, Minhuang Qin, Duan Liu, Bei Zhang, Youcai Bi, Chunhua Xi
Article
Geriatrics & Gerontology
Liang Gong, Ronghua Xu, Duan Liu, Lin Lan, Bei Zhang, Chuantao Zhang
FRONTIERS IN AGING NEUROSCIENCE
(2020)