Results for ' gray matter volume'

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  1.  11
    Specific Gray Matter Volume Changes of the Brain in Unipolar and Bipolar Depression.Junyan Wang, Penghong Liu, Aixia Zhang, Chunxia Yang, Sha Liu, Jizhi Wang, Yong Xu & Ning Sun - 2021 - Frontiers in Human Neuroscience 14.
    To identify the common and specific structural basis of bipolar depression and unipolar depression is crucial for clinical diagnosis. In this study, a total of 85 participants, including 22 BD patients, 36 UD patients, and 27 healthy controls, were enrolled. A voxel-based morphology method was used to identify the common and specific changes of the gray matter volume to determine the structural basis. Significant differences in GMV were found among the three groups. Compared with healthy controls, UD (...)
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  2.  53
    Altered Gray Matter Volume and White Matter Integrity in College Students with Mobile Phone Dependence.Yongming Wang, Zhiling Zou, Hongwen Song, Xiaodan Xu, Huijun Wang, Federico D’Oleire Uquillas & Xiting Huang - 2016 - Frontiers in Psychology 7.
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  3.  13
    Gray Matter Volume and Functional Connectivity in Hypochondriasis: A Magnetic Resonance Imaging and Support Vector Machine Analysis.Zhe Shen, Liang Yu, Zhiyong Zhao, Kangyu Jin, Fen Pan, Shaohua Hu, Shangda Li, Yi Xu, Dongrong Xu & Manli Huang - 2020 - Frontiers in Human Neuroscience 14.
    Objective: Patients with hypochondriasis hold unexplainable beliefs and a fear of having a lethal disease, with poor compliances and treatment response to psychotropic drugs. Although several studies have demonstrated that patients with hypochondriasis demonstrate abnormalities in brain structure and function, gray matter volume and functional connectivity in hypochondriasis still remain unclear.Methods: The present study collected T1-weighted and resting-state functional magnetic resonance images from 21 hypochondriasis patients and 22 well-matched healthy controls. We first analyzed the difference in the (...)
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  4.  12
    Increased Gray Matter Volume Induced by Chinese Language Acquisition in Adult Alphabetic Language Speakers.Liu Tu, Fangyuan Zhou, Kei Omata, Wendi Li, Ruiwang Huang, Wei Gao, Zhenzhen Zhu, Yanyan Li, Chang Liu, Mengying Mao, Shuyu Zhang & Takashi Hanakawa - 2022 - Frontiers in Psychology 13.
    It is interesting to explore the effects of second language acquisition on anatomical change in brain at different stages for the neural structural adaptations are dynamic. Short-term Chinese training effects on brain anatomical structures in alphabetic language speakers have been already studied. However, little is known about the adaptations of the gray matter induced by acquiring Chinese language for a relatively long learning period in adult alphabetic language speakers. To explore this issue, we recruited 38 Indian overseas students (...)
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  5.  88
    Gray Matter Volume of a Region in the Thalamic Pulvinar Is Specifically Associated with Novelty Seeking.Daphne Stam, Yun-An Huang & Jan Van den Stock - 2018 - Frontiers in Psychology 9.
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  6.  22
    Gray Matter Volume Changes in the Apathetic Elderly.Hongjie Yan, Keiichi Onoda & Shuhei Yamaguchi - 2015 - Frontiers in Human Neuroscience 9.
  7.  21
    Brain Gray Matter Volume and Functional Connectivity Are Associated With Smoking Cessation Outcomes.Wei Qian, Peiyu Huang, Zhujing Shen, Chao Wang, Yihong Yang & Minming Zhang - 2019 - Frontiers in Human Neuroscience 13.
  8.  21
    Regional Gray Matter Volume Mediates the Relationship Between Conscientiousness and Expressive Suppression.Cheng Chen, Yu Mao, Jie Luo, Li He & Qiu Jiang - 2018 - Frontiers in Human Neuroscience 12.
  9.  5
    Dynamic Effects of Immersive Bilingualism on Cortical and Subcortical Grey Matter Volumes.Lidón Marin-Marin, Victor Costumero, César Ávila & Christos Pliatsikas - 2022 - Frontiers in Psychology 13.
    Bilingualism has been shown to induce neuroplasticity in the brain, but conflicting evidence regarding its specific effects in grey matter continues to emerge, probably due to methodological differences between studies, as well as approaches that may miss the variability and dynamicity of bilingual experience. In our study, we devised a continuous score of bilingual experiences and we investigated their non-linear effects on regional GM volume in a sample of young healthy participants from an immersive and naturalistic bilingual environment. (...)
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  10.  34
    Impulsivity relates to striatal gray matter volumes in humans: evidence from a delay discounting paradigm.Melanie Tschernegg, Belinda Pletzer, Philipp Schwartenbeck, Philipp Ludersdorfer, Uta Hoffmann & Martin Kronbichler - 2015 - Frontiers in Human Neuroscience 9.
  11.  15
    Association of body mass index and its classifications with gray matter volume in individuals with a wide range of body mass index group: A whole-brain magnetic resonance imaging study.Shinsuke Hidese, Miho Ota, Junko Matsuo, Ikki Ishida, Yuuki Yokota, Kotaro Hattori, Yukihito Yomogida & Hiroshi Kunugi - 2022 - Frontiers in Human Neuroscience 16:926804.
    AimTo examine the association of body mass index (BMI) [kg/m2] and its classifications (underweight [BMI < 18.5], normal [18.5 ≤ BMI < 25], overweight [25 ≤ BMI < 30], and obese [BMI ≥ 30]) with brain structure in individuals with a wide range of BMI group.Materials and methodsThe participants included 382 right-handed individuals (mean age: 46.9 ± 14.3 years, 142 men and 240 women). The intelligence quotient was assessed using the Japanese Adult Reading Test. Voxel-based morphometry (VBM) and diffusion tensor (...)
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  12.  34
    The Relationship between Regional Gray Matter Volume of Social Exclusion Regions and Personal Self-Esteem Is Moderated by Collective Self-Esteem.Xin Wu, Yujie Chen, Bing Chen, Lili Guan & Yufang Zhao - 2017 - Frontiers in Psychology 8.
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  13.  6
    Sex Differences in Gray Matter Volume of the Right Anterior Hippocampus Explain Sex Differences in Three-Dimensional Mental Rotation.Wei Wei, Chuansheng Chen, Qi Dong & Xinlin Zhou - 2016 - Frontiers in Human Neuroscience 10.
  14.  19
    Changes in gray matter volume after microsurgical lumbar discectomy: a longitudinal analysis.Michael Luchtmann, Sebastian Baecke, Yvonne Steinecke, Johannes Bernarding, Claus Tempelmann, Patrick Ragert & Raimund Firsching - 2015 - Frontiers in Human Neuroscience 9.
  15.  12
    Exploratory Analyses of Cerebral Gray Matter Volumes After Out-of-Hospital Cardiac Arrest in Good Outcome Survivors.Aziza Byron-Alhassan, Heather E. Tulloch, Barbara Collins, Bonnie Quinlan, Zhuo Fang, Santanu Chakraborty, Michel Le May, Lloyd Duchesne & Andra M. Smith - 2020 - Frontiers in Psychology 11.
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  16.  11
    Atypical Brain Structures as a Function of Gray Matter Volume (GMV) and Gray Matter Density (GMD) in Young Adults Relating to Autism Spectrum Traits.Yu Yaxu, Zhiting Ren, Jamie Ward & Qiu Jiang - 2020 - Frontiers in Psychology 11.
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  17.  24
    Interaction Effect of Sex and Body Mass Index on Gray Matter Volume.Yufei Huang, Xianjie Li, Todd Jackson, Shuaiyu Chen, Jie Meng, Jiang Qiu & Hong Chen - 2019 - Frontiers in Human Neuroscience 13.
  18.  34
    Subjectivity of the Anomalous Sense of Self Is Represented in Gray Matter Volume in the Brain.Noriaki Kanayama, Tomohisa Asai, Takashi Nakao, Kai Makita, Ryutaro Kozuma, Takuto Uyama, Toshiyuki Yamane, Hiroshi Kadota & Shigeto Yamawaki - 2017 - Frontiers in Human Neuroscience 11.
  19.  45
    Age of second language acquisition in multilinguals has an impact on gray matter volume in language-associated brain areas.Anelis Kaiser, Leila S. Eppenberger, Renata Smieskova, Stefan Borgwardt, Esther Kuenzli, Ernst-Wilhelm Radue, Cordula Nitsch & Kerstin Bendfeldt - 2015 - Frontiers in Psychology 6.
  20.  23
    Individual Differences in the Accuracy of Judgments of Learning Are Related to the Gray Matter Volume and Functional Connectivity of the Left Mid-Insula.Xiao Hu, Zhaomin Liu, Wen Chen, Jun Zheng, Ningxin Su, Wenjing Wang, Chongde Lin & Liang Luo - 2017 - Frontiers in Human Neuroscience 11.
  21.  14
    Association Between Food Patterns and Gray Matter Volume.Keisuke Kokubun & Yoshinori Yamakawa - 2019 - Frontiers in Human Neuroscience 13.
  22.  25
    Associations Between Daily Mood States and Brain Gray Matter Volume, Resting-State Functional Connectivity and Task-Based Activity in Healthy Adults.Elmira Ismaylova, Jessica Di Sante, Jean-Philippe Gouin, Florence B. Pomares, Frank Vitaro, Richard E. Tremblay & Linda Booij - 2018 - Frontiers in Human Neuroscience 12.
  23.  13
    Parallel Changes in Cognitive Function and Gray Matter Volume After Multi-Component Training of Cognitive Control in Adolescents.Dasom Lee, Seyul Kwak & Jeanyung Chey - 2019 - Frontiers in Human Neuroscience 13.
  24.  30
    Preliminary Evidence for the Impact of Combat Experiences on Gray Matter Volume of the Posterior Insula.Ashley N. Clausen, Sandra A. Billinger, Jason-Flor V. Sisante, Hideo Suzuki & Robin L. Aupperle - 2017 - Frontiers in Psychology 8.
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  25.  12
    Trait Respect Is Linked to Reduced Gray Matter Volume in the Anterior Temporal Lobe.Hironori Nakatani, Yulri Nonaka, Sera Muto, Michiko Asano, Tomomi Fujimura, Tomoya Nakai & Kazuo Okanoya - 2020 - Frontiers in Human Neuroscience 14.
  26.  18
    Brain Gray Matter Alterations in Hepatic Encephalopathy: A Voxel-Based Meta-Analysis of Whole-Brain Studies.Licheng Zhu, Weihua Zhang, Lei Chen, Yanqiao Ren, Yanyan Cao, Tao Sun, Bo Sun, Jia Liu, Jing Wang & Chuansheng Zheng - 2022 - Frontiers in Human Neuroscience 16.
    BackgroundPrevious studies on voxel-based morphometry have found that there were gray matter alterations in patients with hepatic encephalopathy. However, the reported results were inconsistent and lack a quantitative review. Therefore, this study aims for a quantitative meta-analysis of VBM analysis on patients with HE.MethodsThe studies in our meta-analysis were collected from Pubmed, Web of Science, and Embase, which were published from January 1947 to October 2021. The seed-based d mapping method was applied to quantitatively estimate the regional (...) matter abnormalities in patients with HE. A meta-regression analysis was applied to evaluate the relationship between plasma ammonia and gray matter alteration.ResultsThere were nine studies, with sixteen datasets consisting of 333 participants with HE and 429 healthy controls. The pooled and subgroup meta-analyses showed an increase in gray matter volume in the bilateral thalamus and the calcarine fissure but a decrease in the GMV in the bilateral insula, the basal ganglia, the anterior cingulate gyrus, and the cerebellum. The meta-regression showed that plasma ammonia was positively associated with the GMV in the left thalamus but was negatively associated with the GMV in the cerebellum and the bilateral striatum.ConclusionGray matter volume in patients with HE largely varied and could be affected by plasma ammonia. The findings of this study could help us to better understand the pathophysiology of cognitive dysfunction in patients with HE. (shrink)
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  27.  40
    The effects of six-month exercise programs on structural changes in gray and white matter volume and balance abilities in senior citizens: the case for dance training.Rehfeld Kathrin, Hoekelmann Anita, Lueders Angie, Kaufmann Joern & Mueller Notger - 2015 - Frontiers in Human Neuroscience 9.
  28.  13
    Hippocampal morphological atrophy and distinct patterns of structural covariance network in Alzheimer’s disease and mild cognitive impairment.Dawei Miao, Xiaoguang Zhou & Xiaoyuan Wu - 2022 - Frontiers in Psychology 13:980954.
    Elucidating distinct morphological atrophy patterns of Alzheimer’s disease and its prodromal stage, namely, mild cognitive impairment helps to improve early diagnosis and medical intervention of AD. On that account, we aimed to obtain distinct patterns of voxel-wise morphological atrophy and its further perturbation on structural covariance network in AD and MCI compared with healthy controls. T1-weighted anatomical images of matched AD, MCI, and HCs were included in this study. Gray matter volume was obtained using voxel-based morphometry and (...)
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  29.  12
    Anomalous cerebral morphology of pregnant women with cleft fetuses.Zhen Li, Chunlin Li, Yuting Liang, Keyang Wang, Li Wang, Xu Zhang & Qingqing Wu - 2022 - Frontiers in Human Neuroscience 16:959710.
    ObjectivePregnancy leads to long-lasting changes in brain structure for healthy women; however, little is known regarding alterations in the cortical features of pregnant women with malformed fetuses. Isolated clefts of the lip and/or palate (ICL/P) are the most common congenital anomaly in the craniofacial region, which is highly gene-associated. We speculated that pregnant women carrying fetuses with ICL/P may have associated risk genes and specific brain changes during pregnancy.MethodsIn this study, we investigated T1-weighted brain magnetic resonance imaging data from 48 (...)
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  30.  7
    Effect of Season of Birth on Hippocampus Volume in a Transdiagnostic Sample of Patients With Depression and Schizophrenia.Nora Schaub, Nina Ammann, Frauke Conring, Thomas Müller, Andrea Federspiel, Roland Wiest, Robert Hoepner, Katharina Stegmayer & Sebastian Walther - 2022 - Frontiers in Human Neuroscience 16.
    Psychiatric disorders share an excess of seasonal birth in winter and spring, suggesting an increase of neurodevelopmental risks. Evidence suggests season of birth can serve as a proxy of harmful environmental factors. Given that prenatal exposure of these factors may trigger pathologic processes in the neurodevelopment, they may consequently lead to brain volume alterations. Here we tested the effects of season of birth on gray matter volume in a transdiagnostic sample of patients with schizophrenia and depression (...)
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  31.  5
    The Personal Trait of Spiritual Growth Is Correlated With the White Matter Integrity of the Brain.Masahiro Fujino, Keita Watanabe & Yoshinori Yamakawa - 2022 - Frontiers in Human Neuroscience 16.
    Determining the relationship between the entire brain structure and individual differences is important in extending healthy life expectancy, which can be affected by brain atrophy. The entire brain structure has been gradually known to be correlated not only with age but also with individual differences, such as quality of life, general intelligence, and lifestyle. However, little attention has been paid to the relationship between the entire brain structure and personal traits. We herein focused on one personal trait, namely spiritual growth, (...)
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  32.  10
    Impact of Early-Commenced and Continued Sports Training on the Precuneus in Older Athletes.Masatoshi Yamashita, Maki Suzuki, Toshikazu Kawagoe, Kohei Asano, Masatoshi Futada, Ryusuke Nakai, Nobuhito Abe & Kaoru Sekiyama - 2021 - Frontiers in Human Neuroscience 15.
    Intervention studies on sedentary older adults have demonstrated that commencing physical exercise at an older age has a positive effect on brain structure. Although this suggests that older athletes with lifelong sports training have larger gray matter volume in some brain regions compared to age-matched non-athletes, evidence in the literature is scarce. Moreover, it remains unclear whether a larger GMV is associated with training intensity or period of training in life. To address these gaps in the literature, (...)
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  33.  18
    Neural Advantages of Older Musicians Involve the Cerebellum: Implications for Healthy Aging Through Lifelong Musical Instrument Training.Masatoshi Yamashita, Chie Ohsawa, Maki Suzuki, Xia Guo, Makiko Sadakata, Yuki Otsuka, Kohei Asano, Nobuhito Abe & Kaoru Sekiyama - 2022 - Frontiers in Human Neuroscience 15.
    This study compared 30 older musicians and 30 age-matched non-musicians to investigate the association between lifelong musical instrument training and age-related cognitive decline and brain atrophy. Although previous research has demonstrated that young musicians have larger gray matter volume in the auditory-motor cortices and cerebellum than non-musicians, little is known about older musicians. Music imagery in young musicians is also known to share a neural underpinning [the supramarginal gyrus and cerebellum] with music performance. Thus, we hypothesized that (...)
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  34.  13
    Exercise Intensity and Brain Plasticity: What’s the Difference of Brain Structural and Functional Plasticity Characteristics Between Elite Aerobic and Anaerobic Athletes?Keying Zhang, Yih-Kuen Jan, Yu Liu, Tao Zhao, Lingtao Zhang, Ruidong Liu, Jianxiu Liu & Chunmei Cao - 2022 - Frontiers in Human Neuroscience 16.
    This study investigated the differences in morphometry and functional plasticity characteristics of the brain after long-term training of different intensities. Results showed that an aerobic group demonstrated higher gray matter volume in the cerebellum and temporal lobe, while an anaerobic group demonstrated higher gray matter volume in the region of basal ganglia. In addition, the aerobic group also showed significantly higher fractional amplitude of low-frequency fluctuation and degree centrality in the motor area of the (...)
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  35.  28
    Common and Specific Alterations of Amygdala Subregions in Major Depressive Disorder With and Without Anxiety: A Combined Structural and Resting-State Functional MRI Study.Yao Yao Li, Xiao Kang Ni, Ya Feng You, Yan hua Qing, Pei Rong Wang, Jia shu Yao, Ke Ming Ren, Lei Zhang, Zhi wei Liu, Tie jun Song, Jinhui Wang, Yu-Feng Zang, Yue di Shen & Wei Chen - 2021 - Frontiers in Human Neuroscience 15.
    Anxious major depressive disorder is a common subtype of major depressive disorder; however, its unique neural mechanism is not well-understood currently. Using multimodal MRI data, this study examined common and specific alterations of amygdala subregions between patients with and without anxiety. No alterations were observed in the gray matter volume or intra-region functional integration in either patient group. Compared with the controls, both patient groups showed decreased functional connectivity between the left superficial amygdala and the left putamen, (...)
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  36.  57
    Virtual reality for neurorehabilitation and cognitive enhancement.Danko D. Georgiev, Iva Georgieva, Zhengya Gong, Vijayakumar Nanjappan & Georgi V. Georgiev - 2021 - Brain Sciences 11 (2):221.
    Our access to computer-generated worlds changes the way we feel, how we think, and how we solve problems. In this review, we explore the utility of different types of virtual reality, immersive or non-immersive, for providing controllable, safe environments that enable individual training, neurorehabilitation, or even replacement of lost functions. The neurobiological effects of virtual reality on neuronal plasticity have been shown to result in increased cortical gray matter volumes, higher concentration of electroencephalographic beta-waves, and enhanced cognitive performance. (...)
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  37.  23
    Neuroanatomical Alterations in Patients With Tinnitus Before and After Sound Therapy: A Combined VBM and SCN Study.Xuan Wei, Han Lv, Qian Chen, Zhaodi Wang, Chunli Liu, Pengfei Zhao, Shusheng Gong, Zhenghan Yang & Zhenchang Wang - 2021 - Frontiers in Human Neuroscience 14.
    Many neuroanatomical alterations have been detected in patients with tinnitus in previous studies. However, little is known about the morphological and structural covariance network changes before and after long-term sound therapy. This study aimed to explore alterations in brain anatomical and SCN changes in patients with idiopathic tinnitus using voxel-based morphometry analysis 24 weeks before and after sound therapy. Thirty-three tinnitus patients underwent magnetic resonance imaging scans at baseline and after 24 weeks of sound therapy. Twenty-six age- and sex-matched healthy (...)
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  38.  19
    Alteration of Cortical and Subcortical Structures in Children With Profound Sensorineural Hearing Loss.Hang Qu, Hui Tang, Jiahao Pan, Yi Zhao & Wei Wang - 2020 - Frontiers in Human Neuroscience 14.
    Profound sensorineural hearing loss is an auditory disability associated with auditory and cognitive dysfunction. Due to distinct pathogenesis, some associated structural and functional changes within the brain have been investigated in previous studies, but whole-brain structural alterations are incompletely understood. We extended the exploration of neuroanatomic differences in whole-brain structure in children with profound SNHL who are primarily users of Chinese sign language. We employed surface-based morphometry and subcortical analyses. T1-weighted magnetic resonance images of 26 children with profound SNHL and (...)
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  39.  17
    Neural Basis and Motor Imagery Intervention Methodology Based on Neuroimaging Studies in Children With Developmental Coordination Disorders: A Review.Keisuke Irie, Amiri Matsumoto, Shuo Zhao, Toshihiro Kato & Nan Liang - 2021 - Frontiers in Human Neuroscience 15.
    Although the neural bases of the brain associated with movement disorders in children with developmental coordination disorder are becoming clearer, the information is not sufficient because of the lack of extensive brain function research. Therefore, it is controversial about effective intervention methods focusing on brain function. One of the rehabilitation techniques for movement disorders involves intervention using motor imagery. MI is often used for movement disorders, but most studies involve adults and healthy children, and the MI method for children with (...)
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  40.  16
    Structural and Functional Changes Are Related to Cognitive Status in Wilson’s Disease.Sheng Hu, Chunsheng Xu, Ting Dong, Hongli Wu, Yi Wang, Anqin Wang, Hongxing Kan & Chuanfu Li - 2021 - Frontiers in Human Neuroscience 15.
    Patients with Wilson’s disease suffer from prospective memory impairment, and some of patients develop cognitive impairment. However, very little is known about how brain structure and function changes effect PM in WD. Here, we employed multimodal neuroimaging data acquired from 22 WD patients and 26 healthy controls who underwent three-dimensional T1-weighted, diffusion tensor imaging, and resting state functional magnetic resonance imaging. We investigated gray matter volumes with voxel-based morphometry, DTI metrics using the fiber tractography method, and RS-fMRI using (...)
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  41.  11
    Identifying and validating subtypes of Parkinson's disease based on multimodal MRI data via hierarchical clustering analysis.Kaiqiang Cao, Huize Pang, Hongmei Yu, Yingmei Li, Miaoran Guo, Yu Liu & Guoguang Fan - 2022 - Frontiers in Human Neuroscience 16.
    ObjectiveWe wished to explore Parkinson's disease subtypes by clustering analysis based on the multimodal magnetic resonance imaging indices amplitude of low-frequency fluctuation and gray matter volume. Then, we analyzed the differences between PD subtypes.MethodsEighty-six PD patients and 44 healthy controls were recruited. We extracted ALFF and GMV according to the Anatomical Automatic Labeling partition using Data Processing and Analysis for Brain Imaging software. The Ward linkage method was used for hierarchical clustering analysis. DPABI was employed to compare (...)
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  42.  11
    Morphological Changes in Cortical and Subcortical Structures in Multiple System Atrophy Patients With Mild Cognitive Impairment.Chenghao Cao, Qi Wang, Hongmei Yu, Huaguang Yang, Yingmei Li, Miaoran Guo, Huaibi Huo & Guoguang Fan - 2021 - Frontiers in Human Neuroscience 15.
    ObjectiveThis study aimed to investigate the morphometric alterations in the cortical and subcortical structures in multiple system atrophy patients with mild cognitive impairment, and to explore the association with cognitive deficits.MethodsA total of 45 MSA patients and 29 healthy controls were recruited. FreeSurfer software was used to analyze cortical thickness, and voxel-based morphometry was used to analyze the gray matter volumes. Cortical thickness and gray matter volume changes were correlated with cognitive scores.ResultsCompared to healthy controls, (...)
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  43.  11
    Functional Deficits and Structural Changes Associated With the Visual Attention Network During Resting State in Adult Strabismic and Anisometropic Amblyopes.Hao Wang, Minglong Liang, Sheila G. Crewther, Zhengqin Yin, Jian Wang, David P. Crewther & Tao Yu - 2022 - Frontiers in Human Neuroscience 16.
    Our previous study has shown impaired blood oxygen level-dependent /functional magnetic resonance imaging activation of the visual attention network in strabismic amblyopia. However, there has been no comparison of resting state fMRI activation and functional connectivity in brain regions of interest along the visual attention network including visual cortex, intraparietal sulcus, and frontal eye fields during closed eye resting across the SA, or anisometropic amblyopes groups. Hence, we compared, gray matter volume, amplitude of low frequency fluctuations, regional (...)
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  44.  15
    Musical Activity During Life Is Associated With Multi-Domain Cognitive and Brain Benefits in Older Adults.Adriana Böttcher, Alexis Zarucha, Theresa Köbe, Malo Gaubert, Angela Höppner, Slawek Altenstein, Claudia Bartels, Katharina Buerger, Peter Dechent, Laura Dobisch, Michael Ewers, Klaus Fliessbach, Silka Dawn Freiesleben, Ingo Frommann, John Dylan Haynes, Daniel Janowitz, Ingo Kilimann, Luca Kleineidam, Christoph Laske, Franziska Maier, Coraline Metzger, Matthias H. J. Munk, Robert Perneczky, Oliver Peters, Josef Priller, Boris-Stephan Rauchmann, Nina Roy, Klaus Scheffler, Anja Schneider, Annika Spottke, Stefan J. Teipel, Jens Wiltfang, Steffen Wolfsgruber, Renat Yakupov, Emrah Düzel, Frank Jessen, Sandra Röske, Michael Wagner, Gerd Kempermann & Miranka Wirth - 2022 - Frontiers in Psychology 13.
    Regular musical activity as a complex multimodal lifestyle activity is proposed to be protective against age-related cognitive decline and Alzheimer’s disease. This cross-sectional study investigated the association and interplay between musical instrument playing during life, multi-domain cognitive abilities and brain morphology in older adults from the DZNE-Longitudinal Cognitive Impairment and Dementia Study study. Participants reporting having played a musical instrument across three life periods were compared to controls without a history of musical instrument playing, well-matched for reserve proxies of education, (...)
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  45.  14
    Identifying and Predicting Autism Spectrum Disorder Based on Multi-Site Structural MRI With Machine Learning.YuMei Duan, WeiDong Zhao, Cheng Luo, XiaoJu Liu, Hong Jiang, YiQian Tang, Chang Liu & DeZhong Yao - 2022 - Frontiers in Human Neuroscience 15.
    Although emerging evidence has implicated structural/functional abnormalities of patients with Autism Spectrum Disorder, definitive neuroimaging markers remain obscured due to inconsistent or incompatible findings, especially for structural imaging. Furthermore, brain differences defined by statistical analysis are difficult to implement individual prediction. The present study has employed the machine learning techniques under the unified framework in neuroimaging to identify the neuroimaging markers of patients with ASD and distinguish them from typically developing controls. To enhance the interpretability of the machine learning model, (...)
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  46.  21
    Executive function and grey matter atrophy in healthy aging: A voxel-based morphometry analysis.Manard Marine, François Sarah, Salmon Eric, Collette Fabienne & Bahri Mohamed Ali - 2014 - Frontiers in Human Neuroscience 8.
  47.  5
    Cerebellar and brainstem differences in children with developmental coordination disorder: A voxel-based morphometry study.Kamaldeep K. Gill, Donna Lang & Jill G. Zwicker - 2022 - Frontiers in Human Neuroscience 16.
    Developmental coordination disorder is a neurodevelopmental disorder that significantly impairs a child’s ability to learn motor skills and to perform everyday activities. The cause of DCD is unknown; however, evidence suggests that children with DCD have altered brain structure and function. While the cerebellum has been hypothesised to be involved in developmental coordination disorder, no studies have specifically examined cerebellar structure in this population. The purpose of our study was to examine cerebellar differences in children with DCD compared to typically-developing (...)
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  48. Introduction: Consciousness research at the end of the twentieth century.Thomas Metzinger - 2000 - In T. Metzinger (ed.), Neural Correlates of Consciousness: Empirical and Conceptual Questions. MIT Press.
    conscious content like ``the self in the act of In 1989 the philosopher Colin McGinn asked the knowing'' (see, e.g., chapters 7 and 20 in this following question: ``How can technicolor phe- volume) or high-level phenomenal properties like nomenology arise from soggy gray matter?'' ``coherence'' or ``holism'' (e.g., chapters 8 and 9 (1989: 349). Since then many authors in the ®eld in this volume). But what, precisely, does it mean of consciousness research have quoted this ques- (...)
     
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  49.  97
    Music and consciousness: philosophical, psychological, and cultural perspectives.David Clarke & Eric Clarke (eds.) - 2011 - New York: Oxford University Press.
    What is consciousness? Why and when do we have it? Where does it come from, and how does it relate to the lump of squishy grey matter in our heads, or to our material and social worlds? While neuroscientists, philosophers, psychologists, historians, and cultural theorists offer widely different perspectives on these fundamental questions concerning what it is like to be human, most agree that consciousness represents a 'hard problem'. -/- The emergence of consciousness studies as a multidisciplinary discourse addressing (...)
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  50.  13
    Variation of cerebrospinal fluid in specific regions regulates focality in transcranial direct current stimulation.Rajan Kashyap, Sagarika Bhattacharjee, Rose Dawn Bharath, Ganesan Venkatasubramanian, Kaviraja Udupa, Shahid Bashir, Kenichi Oishi, John E. Desmond, S. H. Annabel Chen & Cuntai Guan - 2022 - Frontiers in Human Neuroscience 16:952602.
    BackgroundConventionally, transcranial direct current stimulation (tDCS) aims to focalize the current reaching the target region-of-interest (ROI). The focality can be quantified by the dose-target-determination-index (DTDI). Despite having a uniform tDCS setup, some individuals receive focal stimulation (high DTDI) while others show reduced focality (“non-focal”). The volume of cerebrospinal fluid (CSF), gray matter (GM), and white matter (WM) underlying each ROI govern the tDCS current distribution inside the brain, thereby regulating focality.AimTo determine the regional volume parameters (...)
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