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Saccaro LF, Tassone M, Tozzi F, Rutigliano G. Proton magnetic resonance spectroscopy of N-acetyl aspartate in first depressive episode and chronic major depressive disorder: A systematic review and meta-analysis. J Affect Disord 2024; 355:265-282. [PMID: 38554884 DOI: 10.1016/j.jad.2024.03.150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 03/20/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024]
Abstract
N-acetyl aspartate (NAA) is a marker of neuronal integrity and metabolism. Deficiency in neuronal plasticity and hypometabolism are implicated in Major Depressive Disorder (MDD) pathophysiology. To test if cerebral NAA concentrations decrease progressively over the MDD course, we conducted a pre-registered meta-analysis of Proton Magnetic Resonance Spectroscopy (1H-MRS) studies comparing NAA concentrations in chronic MDD (n = 1308) and first episode of depression (n = 242) patients to healthy controls (HC, n = 1242). Sixty-two studies were meta-analyzed using a random-effect model for each brain region. NAA concentrations were significantly reduced in chronic MDD compared to HC within the frontal lobe (Hedges' g = -0.330; p = 0.018), the occipital lobe (Hedges' g = -0.677; p = 0.007), thalamus (Hedges' g = -0.673; p = 0.016), and frontal (Hedges' g = -0.471; p = 0.034) and periventricular white matter (Hedges' g = -0.478; p = 0.047). We highlighted a gap of knowledge regarding NAA levels in first episode of depression patients. Sensitivity analyses indicated that antidepressant treatment may reverse NAA alterations in the frontal lobe. We highlighted field strength and correction for voxel grey matter as moderators of NAA levels detection. Future studies should assess NAA alterations in the early stages of the illness and their longitudinal progression.
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Affiliation(s)
- Luigi F Saccaro
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Campus Biotech, 9 Chemin des Mines, 1202 Geneva, Switzerland; Department of Psychiatry, Geneva University Hospital, 1205 Geneva, Switzerland.
| | - Matteo Tassone
- Department of Pathology, University of Pisa, via Savi 10, 56126 Pisa, Italy
| | - Francesca Tozzi
- Bio@SNS laboratory, Scuola Normale Superiore, 56124 Pisa, Italy
| | - Grazia Rutigliano
- Department of Pathology, University of Pisa, via Savi 10, 56126 Pisa, Italy; Institute of Clinical Sciences, Imperial College London, MRI Steiner Unit, Hammersmith Hospital Campus, Du Cane Road, W12 0NN London, United Kingdom of Great Britain and Northern Ireland
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Dubol M, Stiernman L, Sundström-Poromaa I, Bixo M, Comasco E. Cortical morphology variations during the menstrual cycle in individuals with and without premenstrual dysphoric disorder. J Affect Disord 2024; 355:470-477. [PMID: 38552916 DOI: 10.1016/j.jad.2024.03.130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 02/16/2024] [Accepted: 03/23/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Premenstrual dysphoric disorder (PMDD) is hypothesized to stem from maladaptive neural sensitivity to ovarian steroid hormone fluctuations. Recently, we found thinner cortices in individuals with PMDD, compared to healthy controls, during the symptomatic phase. Here, we aimed at investigating whether such differences illustrate state-like characteristics specific to the symptomatic phase, or trait-like features defining PMDD. METHODS Patients and controls were scanned using structural magnetic resonance imaging during the mid-follicular and late-luteal phase of the menstrual cycle. Group-by-phase interaction effects on cortical architecture metrics (cortical thickness, gyrification index, cortical complexity, and sulcal depth) were assessed using surface-based morphometry. RESULTS Independently of menstrual cycle phase, a main effect of diagnostic group on surface metrics was found, primarily illustrating thinner cortices (0.3 < Cohen's d > 1.1) and lower gyrification indices (0.4 < Cohen's d > 1.0) in patients compared to controls. Furthermore, menstrual cycle-specific effects were detected across all participants, depicting a decrease in cortical thickness (0.4 < Cohen's d > 1.7) and region-dependent changes in cortical folding metrics (0.4 < Cohen's d > 2.2) from the mid-follicular to the late luteal phase. LIMITATIONS Small effects (d = 0.3) require a larger sample size to be accurately characterized. CONCLUSIONS These findings provide initial evidence of trait-like cortical characteristics of the brain of individuals with premenstrual dysphoric disorder, together with indications of menstrual cycle-related variations in cortical architecture in patients and controls. Further investigations exploring whether these differences constitute stable vulnerability markers or develop over the years may help understand PMDD etiology.
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Affiliation(s)
- Manon Dubol
- Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Sweden
| | | | | | - Marie Bixo
- Department of Clinical Sciences, Umeå University, Sweden
| | - Erika Comasco
- Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Sweden.
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Chen X, Ouyang F, Liang J, Huang W, Zeng J, Xing S. Cerebral asymmetry in adult Macaca fascicularis as revealed by voxel-based MRI and DTI analysis. Brain Res 2024; 1830:148818. [PMID: 38387715 DOI: 10.1016/j.brainres.2024.148818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 01/28/2024] [Accepted: 02/19/2024] [Indexed: 02/24/2024]
Abstract
Investigating cerebral asymmetries in non-human primates would facilitate to understand the evolutional traits of the human brain specialization related to language and other high-level cognition. However, brain asymmetrical studies of monkeys produced controversial results. Here, we investigated the cerebral asymmetries using a combination of the optimized voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) protocols in monkeys. The study-specific MRI and DTI-based templates were created in 66 adult Macaca fascicularis, and the asymmetrical index of grey and white matter was subsequently examined. The VBM analysis detected the well-known frontal and occipital petalias and confirmed the presence of leftward asymmetry in the ventral frontal cortex. A marked leftward asymmetry of anterior superior temporal gyrus but not posterior portion were found. We also identified grey matter asymmetries in some regions that were not previously reported including rightward anterior cingulate, insular cortex and thalamus, and leftward caudate. In contrast, the results of TBSS analysis for the first time revealed the robust leftwards asymmetries of corpus callosum (splenium and body), internal/external capsule, and white matter in middle temporal gyrus, adjacent thalamus and amygdala whereas the rightwards in uncinate fasciculus, posterior thalamic radiation and cerebral peduncle. These findings provide robust evidence of grey and white matter asymmetries in the brain of monkeys, which may extend the understanding of brain evolution in cerebral specialization.
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Affiliation(s)
- Xinran Chen
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Fubing Ouyang
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Jiahui Liang
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Weixian Huang
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Jinsheng Zeng
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China.
| | - Shihui Xing
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China.
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Li J, Wang X, Liu M, Yin Y, Wu Y, Xu G, Ma X. Sex-specific grey matter abnormalities in individuals with chronic insomnia. Neurol Sci 2024; 45:2301-2310. [PMID: 38063921 DOI: 10.1007/s10072-023-07224-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 11/23/2023] [Indexed: 04/17/2024]
Abstract
Previous studies have reported sex differences in altered brain function in patients with chronic insomnia (CI). However, sex-related alterations in brain morphology have rarely been investigated. This study aimed to investigate sex-specific grey matter (GM) alterations in patients with CI and to examine the relationship between GM alterations and neuropsychological assessments. Ninety-three (65 females and 28 males) patients and 78 healthy (50 females and 28 males) controls were recruited. Structural magnetic resonance imaging data were analysed using voxel-based morphometry to test for interactions between sex and diagnosis. Spearman's correlation was used to assess the associations among structure, disease duration, and sleep-, mood-, and cognition-related assessments. Males with CI showed reduced GM volume in the left inferior parietal lobe, left middle cingulate cortex, and right supramarginal gyrus. Females with CI showed increased GM volume in the right Rolandic operculum. Moreover, mood-related assessments were negatively correlated with GM volumes in the right supramarginal gyrus and left inferior parietal lobe in the male patients, and cognitive-related assessments were positively correlated with GM volumes in the Rolandic operculum in the female patients. Our findings indicate sex-specific alterations in brain morphology in CI, thereby broadening our understanding of sex differences in CI and potentially providing complementary evidence for the development of more effective therapies and individual treatments.
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Affiliation(s)
- Jingwen Li
- Department of Nuclear medicine, Guangdong Second Provincial General Hospital, No.466 Road XinGang, Guangzhou, 510317, P. R. China
- The Second School of Clinical Medicine, Southern Medial University, No. 253 Industrial Avenue Central, Guangzhou, 510260, P. R. China
| | - Xinzhi Wang
- Department of Nuclear medicine, Guangdong Second Provincial General Hospital, No.466 Road XinGang, Guangzhou, 510317, P. R. China
| | - Mengchen Liu
- Department of Nuclear medicine, Guangdong Second Provincial General Hospital, No.466 Road XinGang, Guangzhou, 510317, P. R. China
| | - Yi Yin
- Department of Nuclear medicine, Guangdong Second Provincial General Hospital, No.466 Road XinGang, Guangzhou, 510317, P. R. China
| | - Yunfan Wu
- Department of Nuclear medicine, Guangdong Second Provincial General Hospital, No.466 Road XinGang, Guangzhou, 510317, P. R. China
| | - Guang Xu
- Department of Neurology, Guangdong Second Provincial General Hospital, No.466 Road XinGang, Guangzhou, 510317, P. R. China
| | - Xiaofen Ma
- Department of Nuclear medicine, Guangdong Second Provincial General Hospital, No.466 Road XinGang, Guangzhou, 510317, P. R. China.
- The Second School of Clinical Medicine, Southern Medial University, No. 253 Industrial Avenue Central, Guangzhou, 510260, P. R. China.
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Rajagopalan V, Pioro EP. Differing patterns of cortical grey matter pathology identified by multifractal analysis in UMN-predominant ALS patients with and without corticospinal tract hyperintensity. J Neurol Sci 2024; 459:122945. [PMID: 38564847 DOI: 10.1016/j.jns.2024.122945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 01/30/2024] [Accepted: 02/27/2024] [Indexed: 04/04/2024]
Abstract
The pathological hallmarks of amyotrophic lateral sclerosis (ALS) are degeneration of the primary motor cortex grey matter (GM) and corticospinal tract (CST) resulting in upper motor neuron (UMN) dysfunction. Conventional brain magnetic resonance imaging (MRI) shows abnormal CST hyperintensity in some UMN-predominant ALS patients (ALS-CST+) but not in others (ALS-CST-). In addition to the CST differences, we aimed to determine whether GM degeneration differs between ALS-CST+ and ALS-CST- patients by cortical thickness (CT), voxel-based morphometry (VBM) and fractal dimension analyses. We hypothesized that MRI multifractal (MF) measures could differentiate between neurologic controls (n = 14) and UMN-predominant ALS patients as well as between patient subgroups (ALS-CST+, n = 21 vs ALS-CST-, n = 27). No significant differences were observed in CT or GM VBM in any brain regions between patients and controls or between ALS subgroups. MF analyses were performed separately on GM of the whole brain, of frontal, parietal, occipital, and temporal lobes as well as of cerebellum. Estimating MF measures D (Q = 0), D (Q = 1), D (Q = 2), Δf, Δα of frontal lobe GM classified neurologic controls, ALS-CST+ and ALS-CST- groups with 98% accuracy and > 95% in F1, recall, precision and specificity scores. Classification accuracy was only 74% when using whole brain MF measures and < 70% for other brain lobes. We demonstrate that MF analysis can distinguish UMN-predominant ALS subgroups based on GM changes, which the more commonly used quantitative approaches of CT and VBM cannot.
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Affiliation(s)
- Venkateswaran Rajagopalan
- Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, Hyderabad Campus, Hyderabad 500078, India
| | - Erik P Pioro
- Neuromuscular Center, Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Medicine (Neurology), University of British Columbia, Mowafaghian Centre for Brain Health, Vancouver, BC V6T 1Z3, Canada.
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Cadenas-Sanchez C, Migueles JH, Torres-Lopez LV, Verdejo-Román J, Jiménez-Pavón D, Hillman CH, Catena A, Ortega FB. Sleep Behaviors and the Shape of Subcortical Brain Structures in Children with Overweight/Obesity: A Cross-Sectional Study. Indian J Pediatr 2024:10.1007/s12098-024-05094-1. [PMID: 38573449 DOI: 10.1007/s12098-024-05094-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 03/01/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVES To examine the relationship between sleep and subcortical brain structures using a shape analysis approach. METHODS A total of 98 children with overweight/obesity (10.0 ± 1.1 y, 59 boys) were included in the cross-sectional analyses. Sleep behaviors (i.e., wake time, sleep onset time, total time in bed, total sleep time, sleep efficiency, and wakening after sleep onset) were estimated with wrist-worn accelerometers. The shape of the subcortical brain structures was acquired by magnetic resonance imaging. A partial correlation permutation approach was used to examine the relationship between sleep behaviors and brain shapes. RESULTS Among all the sleep variables studied, only total time in bed was significantly related to pallidum and putamen structure, such that those children who spent more time in bed had greater expansions in the right and left pallidum (211-751 voxels, all p's <0.04) and right putamen (1783 voxels, p = 0.03). CONCLUSIONS These findings suggest that more time in bed was related to expansions on two subcortical brain regions in children with overweight/obesity.
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Affiliation(s)
- Cristina Cadenas-Sanchez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain.
| | - Jairo H Migueles
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Lucia V Torres-Lopez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Juan Verdejo-Román
- Department of Personality, Assessment & Psychological Treatment, Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain
| | - David Jiménez-Pavón
- MOVE-IT Research Group, Department of Physical Education, Faculty of Education Sciences University of Cádiz, Cádiz, Spain
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital University of Cádiz, Cádiz, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES) Madrid, Madrid, Spain
| | - Charles H Hillman
- Department of Psychology, Northeastern University, Boston, USA
- Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, USA
| | - Andrés Catena
- School of Psychology, University of Granada, Granada, Spain
| | - Francisco B Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain.
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
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Köhncke Y, Kühn S, Düzel S, Sander MC, Brandmaier AM, Lindenberger U. Grey-matter structure in cortical and limbic regions correlates with general cognitive ability in old age. Aging Brain 2023; 5:100103. [PMID: 38186748 PMCID: PMC10770753 DOI: 10.1016/j.nbas.2023.100103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 01/09/2024] Open
Abstract
According to the maintenance hypothesis (Nyberg et al., 2012), structural integrity of the brain's grey matter helps to preserve cognitive functioning into old age. A corollary of this hypothesis that can be tested in cross-sectional data is that grey-matter structural integrity and general cognitive ability are positively associated in old age. Building on Köhncke et al. (2021), who found that region-specific latent factors of grey-matter integrity are positively associated with episodic memory ability among older adults, we examine associations between general factors of grey-matter integrity and a general factor of cognitive ability in a cross-sectional sample of 1466 participants aged 60-88 years, 319 of whom contributed imaging data. Indicator variables based on T1-weighted images (voxel-based morphometry, VBM), magnetization-transfer imaging (MT), and diffusion tensor imaging-derived mean diffusivity (MD) had sufficient portions of variance in common to establish latent factors of grey-matter structure for a comprehensive set of regions of interest (ROI). Individual differences in grey-matter factors were positively correlated across neocortical and limbic areas, allowing for the definition of second-order, general factors for neocortical and limbic ROI, respectively. Both general grey-matter factors were positively correlated with general cognitive ability. For the basal ganglia, the three modality-specific indicators showed heterogenous loading patterns, and no reliable associations of the general grey-matter factor to general cognitive ability were found. To provide more direct tests of the maintenance hypothesis, we recommend applying the present structural modeling approach to longitudinal data, thereby enhancing the physiological validity of latent constructs of brain structure.
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Affiliation(s)
- Ylva Köhncke
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Simone Kühn
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Myriam C. Sander
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Andreas M. Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK, & Berlin, Germany
- Department of Psychology, MSB Medical School Berlin, Berlin, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK, & Berlin, Germany
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Zhai H, Fan W, Xiao Y, Zhu Z, Ding Y, He C, Zhang W, Xu Y, Zhang Y. Voxel-based morphometry of grey matter structures in Parkinson's Disease with wearing-off. Brain Imaging Behav 2023; 17:725-737. [PMID: 37735325 PMCID: PMC10733201 DOI: 10.1007/s11682-023-00793-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/28/2023] [Indexed: 09/23/2023]
Abstract
Our study aimed to investigate the grey matter (GM) changes using voxel-based morphometry (VBM) in Parkinson's disease (PD) patients with wearing-off (WO). 3D-T1-weighted imaging was performed on 48 PD patients without wearing-off (PD-nWO), 39 PD patients with wearing-off (PD-WO) and 47 age and sex-matched healthy controls (HCs). 3D structural images were analyzed by VBM procedure with Statistical Parametric Mapping (SPM12) to detect grey matter volume. Widespread areas of grey matter changes were found in patients among three groups (in bilateral frontal, temporal lobes, lingual gyrus, inferior occipital gyrus, right precuneus, right superior parietal gyrus and right cerebellum). Grey matter reductions were found in frontal lobe (right middle frontal gyrus, superior frontal gyrus and precentral gyrus), right parietal lobe (precuneus, superior parietal gyrus, postcentral gyrus), right temporal lobe (superior temporal gyrus, middle temporal gyrus), bilateral lingual gyrus and inferior occipital gyrus in PD-WO group compared with the PD-nWO group. Our results suggesting that wearing-off may be associated with grey matter atrophy in the cortical areas. These findings may aid in a better understanding of the brain degeneration process in PD with wearing-off.
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Affiliation(s)
- Heng Zhai
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
| | - Wenliang Fan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, Hubei Province, China
| | - Yan Xiao
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, Hubei Province, China
| | - Zhipeng Zhu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, Hubei Province, China
| | - Ying Ding
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, Hubei Province, China
| | - Chentao He
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China
| | - Wei Zhang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, Hubei Province, China
| | - Yan Xu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
| | - Yuhu Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China.
- Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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Donatelli G, Emmi A, Costagli M, Cecchi P, Macchi V, Biagi L, Lancione M, Tosetti M, Porzionato A, De Caro R, Cosottini M. Brainstem anatomy with 7-T MRI: in vivo assessment and ex vivo comparison. Eur Radiol Exp 2023; 7:71. [PMID: 37968363 PMCID: PMC10651583 DOI: 10.1186/s41747-023-00389-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 09/01/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND The brainstem contains grey matter nuclei and white matter tracts to be identified in clinical practice. The small size and the low contrast among them make their in vivo visualisation challenging using conventional magnetic resonance imaging (MRI) sequences at high magnetic field strengths. Combining higher spatial resolution, signal- and contrast-to-noise ratio and sensitivity to magnetic susceptibility (χ), susceptibility-weighted 7-T imaging could improve the assessment of brainstem anatomy. METHODS We acquired high-resolution 7-T MRI of the brainstem in a 46-year-old female healthy volunteer (using a three-dimensional multi-echo gradient-recalled-echo sequence; spatial resolution 0.3 × 0.3 × 1.2 mm3) and in a brainstem sample from a 48-year-old female body donor that was sectioned and stained. Images were visually assessed; nuclei and tracts were labelled and named according to the official nomenclature. RESULTS This in vivo imaging revealed structures usually evaluated through light microscopy, such as the accessory olivary nuclei, oculomotor nucleus and the medial longitudinal fasciculus. Some fibre tracts, such as the medial lemniscus, were visible for most of their course. Overall, in in vivo acquisitions, χ and frequency maps performed better than T2*-weighted imaging and allowed for the evaluation of a greater number of anatomical structures. All the structures identified in vivo were confirmed by the ex vivo imaging and histology. CONCLUSIONS The use of multi-echo GRE sequences at 7 T allowed the visualisation of brainstem structures that are not visible in detail at conventional magnetic field and opens new perspectives in the diagnostic and therapeutical approach to brain disorders. RELEVANCE STATEMENT In vivo MR imaging at UHF provides detailed anatomy of CNS substructures comparable to that obtained with histology. Anatomical details are fundamentals for diagnostic purposes but also to plan a direct targeting for a minimally invasive brain stimulation or ablation. KEY POINTS • The in vivo brainstem anatomy was explored with ultrahigh field MRI (7 T). • In vivo T2*-weighted magnitude, χ, and frequency images revealed many brainstem structures. • Ex vivo imaging and histology confirmed all the structures identified in vivo. • χ and frequency imaging revealed more brainstem structures than magnitude imaging.
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Affiliation(s)
- Graziella Donatelli
- Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
- Imago7 Research Foundation, Pisa, Italy
| | - Aron Emmi
- Department of Neuroscience, Institute of Human Anatomy, University of Padua, Padua, Italy
- Center for Neurodegenerative Disease Research (CESNE), University of Padova, Padua, Italy
| | - Mauro Costagli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genoa, Italy
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy
| | - Paolo Cecchi
- Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
- Imago7 Research Foundation, Pisa, Italy
| | - Veronica Macchi
- Department of Neuroscience, Institute of Human Anatomy, University of Padua, Padua, Italy
- Center for Neurodegenerative Disease Research (CESNE), University of Padova, Padua, Italy
| | - Laura Biagi
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy
| | - Marta Lancione
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy
| | - Michela Tosetti
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy
| | - Andrea Porzionato
- Department of Neuroscience, Institute of Human Anatomy, University of Padua, Padua, Italy
- Center for Neurodegenerative Disease Research (CESNE), University of Padova, Padua, Italy
| | - Raffaele De Caro
- Department of Neuroscience, Institute of Human Anatomy, University of Padua, Padua, Italy
- Center for Neurodegenerative Disease Research (CESNE), University of Padova, Padua, Italy
| | - Mirco Cosottini
- Department of Translational Research On New Technologies in Medicine and Surgery, Neuroradiology Unit, University of Pisa, 56124, Pisa, Italy.
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10
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Lefort-Besnard J, Naveau M, Delcroix N, Decker LM, Cignetti F. Grey matter volume and CSF biomarkers predict neuropsychological subtypes of MCI. Neurobiol Aging 2023; 131:196-208. [PMID: 37689017 DOI: 10.1016/j.neurobiolaging.2023.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 07/05/2023] [Accepted: 07/06/2023] [Indexed: 09/11/2023]
Abstract
There is increasing evidence of different subtypes of individuals with mild cognitive impairment (MCI). An important line of research is whether neuropsychologically-defined subtypes have distinct patterns of neurodegeneration and cerebrospinal fluid (CSF) biomarker composition. In our study, we demonstrated that MCI participants of the ADNI database (N = 640) can be discriminated into 3 coherent neuropsychological subgroups. Our clustering approach revealed amnestic MCI, mixed MCI, and cluster-derived normal subgroups. Furthermore, classification modeling revealed that specific predictive features can be used to differentiate amnestic and mixed MCI from cognitively normal (CN) controls: CSF Aβ142 concentration for the former and CSF Aβ1-42 concentration, tau concentration as well as grey matter atrophy (especially in the temporal and occipital lobes) for the latter. In contrast, participants from the cluster-derived normal subgroup exhibited an identical profile to CN controls in terms of cognitive performance, brain structure, and CSF biomarker levels. Our comprehensive data analytics strategy provides further evidence that multimodal neuropsychological subtyping is both clinically and neurobiologically meaningful.
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Affiliation(s)
| | - Mikael Naveau
- Normandie Univ, UNICAEN, CNRS, CEA, INSERM, GIP Cyceron, Caen, France
| | - Nicolas Delcroix
- Normandie Univ, UNICAEN, CNRS, CEA, INSERM, GIP Cyceron, Caen, France
| | - Leslie Marion Decker
- Normandie Univ, UNICAEN, INSERM, COMETE, Caen, France; Normandie Univ, UNICAEN, CIREVE, Caen, France.
| | - Fabien Cignetti
- Univ. Grenoble Alpes, CNRS, VetAgro Sup, Grenoble INP, TIMC, Grenoble, France.
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11
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Zareba MR, Scislewska P, Fafrowicz M, Marek T, Oginska H, Szatkowska I, Beldzik E, Domagalik A. The subjective amplitude of the diurnal rhythm matters - Chronobiological insights for neuroimaging studies. Behav Brain Res 2023; 454:114640. [PMID: 37640270 DOI: 10.1016/j.bbr.2023.114640] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/04/2023] [Accepted: 08/24/2023] [Indexed: 08/31/2023]
Abstract
Multiple aspects of human psychophysiology, including mood and cognition, are subjected to diurnal rhythms. While the previous magnetic resonance imaging (MRI) studies have focused solely on the morningness-eveningness (ME) preference dichotomy, i.e. the circadian phase, the second key dimension of the diurnal rhythms, i.e. the strength of these preferences (amplitude; AM), has been completely overlooked. Uncovering the neural correlates of AM is especially important considering its link with negative emotionality. Structural T1-weighted neuroimaging data from 79 early (EC) and 74 late (LC) chronotypes were analysed to compare grey matter (GM) volume and cortical thickness. The study aimed to elucidate whether the subjective AM and its interaction with ME was a significant predictor of individual brain structure. Both GM volume and cortical thickness of the left primary visual cortex was negatively correlated with AM scores across the entire sample. Furthermore, EC and LC differed in their association between AM scores and the GM volume in the right middle temporal gyrus, with the positive and negative correlations reported respectively in the two groups. The current study underlines the importance of the visual system in circadian rhythmicity and provides possible neural correlates for AM-related differences in negative affect processing. Furthermore, the presence of the opposite correlations between brain anatomy and AM in the two groups suggests that the behavioural and neuronal chronotype differences might become more pronounced in individuals with extreme diurnal differences in mood and cognition, highlighting the necessity to additionally account for AM in neuroimaging studies.
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Affiliation(s)
- Michal Rafal Zareba
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, 12-006 Castellon de la Plana, Spain.
| | - Patrycja Scislewska
- Department of Animal Physiology, Institute of Functional Biology and Ecology, Faculty of Biology, University of Warsaw, Warsaw, Poland; Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
| | - Magdalena Fafrowicz
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, 30-348 Kraków, Poland
| | - Tadeusz Marek
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, 30-348 Kraków, Poland
| | - Halszka Oginska
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, 30-348 Kraków, Poland
| | - Iwona Szatkowska
- Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Ewa Beldzik
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, 30-348 Kraków, Poland; Department of Biomedical Engineering, Boston University, 02215 Boston, MA, USA
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12
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Aviv EC, Cardenás SI, León G, Waizman YH, Gonzales C, Flores G, Martínez-García M, Saxbe DE. Prenatal prolactin predicts postnatal parenting attitudes and brain structure remodeling in first-time fathers. Psychoneuroendocrinology 2023; 156:106332. [PMID: 37478587 PMCID: PMC10529357 DOI: 10.1016/j.psyneuen.2023.106332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 07/02/2023] [Accepted: 07/06/2023] [Indexed: 07/23/2023]
Abstract
Despite the important contributions that fathers make to parenting, the neurobiological underpinnings of men's adaptation to parenthood are still not well understood. The current study focuses on prolactin, a hormone that has been extensively linked with reproduction, lactation, and parental behavior in mothers. There is preliminary evidence that prolactin may also reflect the transition to sensitive fatherhood. We sampled prolactin in 91 first-time expectant fathers who participated in a laboratory visit along with their pregnant partners. Fathers' prolactin levels were correlated with their partners' prolactin levels. Men's prolactin levels during their partner's pregnancy were associated with their self-reported antenatal bonding to the unborn infant. Prenatal prolactin levels in fathers also predicted more positive attitudes toward fatherhood at three months postpartum, including lower parenting stress, greater enjoyment of the infant, and a more attunement-oriented parenting style. Within a smaller sample of 32 men who participated in MRI scanning before and after their child's birth, prenatal prolactin also predicted greater reductions in grey matter volume in the left posterior cingulate, left insula, and left nucleus accumbens. In conclusion, men's prenatal prolactin may reflect their perceptions of fatherhood and changes to their perinatal brain structure.
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Affiliation(s)
- Elizabeth C Aviv
- University of Southern California, Department of Psychology, Los Angeles, CA, USA.
| | - Sofia I Cardenás
- University of Southern California, Department of Psychology, Los Angeles, CA, USA
| | - Gabriel León
- University of Southern California, Department of Psychology, Los Angeles, CA, USA
| | - Yael H Waizman
- University of Southern California, Department of Psychology, Los Angeles, CA, USA
| | - Cassin Gonzales
- University of Southern California, Department of Psychology, Los Angeles, CA, USA
| | - Genesis Flores
- University of Southern California, Department of Psychology, Los Angeles, CA, USA
| | - Magdalena Martínez-García
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Darby E Saxbe
- University of Southern California, Department of Psychology, Los Angeles, CA, USA
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13
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Ma Y, Fu S, Ye X, Yang Y, Yin Y, Xu G, Liu M, Jiang G. Aberrant single-subject morphological cerebellar connectome in chronic insomnia. Neuroimage Clin 2023; 39:103492. [PMID: 37603949 PMCID: PMC10458694 DOI: 10.1016/j.nicl.2023.103492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/24/2023] [Accepted: 08/06/2023] [Indexed: 08/23/2023]
Abstract
BACKGROUND To systematically investigate the topological organisation of morphological networks of the cerebellum using structural MRI and examine their clinical relevance in chronic insomnia (CI). METHODS One hundred and one patients with CI and 102 healthy controls (HCs) were recruited in this study. Individual morphological networks of the cerebellum were constructed based on regional grey matter volume, and topologically characterised using weighted graph theory-based network approaches. Between-group comparisons were performed using permutation tests, and Spearman's correlation was used to examine the relationships between topological alterations and clinical variables. RESULTS Compared with HCs, patients with CI exhibited a lower normalised clustering coefficient. Locally, CI patients exhibited lower nodal efficiency in the cerebellar lobule VIIb and vermis regions, but higher nodal efficiency in the right cerebellar lobule VIIIa regions. No correlations were observed between network alterations and clinical variables. CONCLUSIONS Individual morphological network analysis provides a new strategy for investigating cerebellar morphometric changes in CI, and our findings may have important implications in establishing diagnostic and categorical biomarkers.
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Affiliation(s)
- Yuqin Ma
- Guangzhou Medical University, Guangzhou 51495, PR China
| | - Shishun Fu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR China
| | - Xi Ye
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR China
| | - Yuping Yang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510317, PR China
| | - Yi Yin
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR China
| | - Guang Xu
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR China
| | - Mengchen Liu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR China
| | - Guihua Jiang
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR China.
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14
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Vipin A, Kumar D, Soo SA, Zailan FZ, Leow YJ, Koh CL, Ng ASL, Ng KP, Kandiah N. APOE4 carrier status determines association between white matter disease and grey matter atrophy in early-stage dementia. Alzheimers Res Ther 2023; 15:103. [PMID: 37270543 DOI: 10.1186/s13195-023-01251-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 05/29/2023] [Indexed: 06/05/2023]
Abstract
BACKGROUND White matter hyperintensities, a neuroimaging marker of small-vessel cerebrovascular disease and apolipoprotein ε4 (APOE4) allele, are important dementia risk factors. However, APOE4 as a key effect modifier in the relationship between white matter hyperintensities and grey matter volume needs further exploration. METHODS One hundred ninety-two early-stage dementia (including mild cognitive impairment and mild dementia) and 259 cognitively unimpaired participants from a neurocognitive research cohort with neuroimaging data, APOE genotyping, and neuropsychological assessments were studied. We investigated independent and interactive effects of white matter hyperintensities and APOE4 on whole-brain voxel-wise grey matter volume using voxel-based morphometry (uncorrected p < 0.001; minimum cluster size = 100 voxels). We further assessed interactive effects between APOE4 and white matter hyperintensities on global cognition, memory, and executive function in early-stage dementia and cognitively unimpaired participants. RESULTS Independent of APOE4 status, higher white matter hyperintensity load was associated with greater grey matter atrophy across frontal, parietal, temporal, and occipital lobes in cognitively unimpaired and early-stage dementia subjects. However, interaction analyses and independent sample analyses revealed that APOE4 non-carriers demonstrated greater white matter hyperintensity-associated grey matter atrophy compared to APOE4 carriers in both cognitively unimpaired and early-stage dementia groups. Additional confirmatory analyses among APOE4 non-carriers demonstrated that white matter hyperintensities resulted in widespread grey matter loss. Analyses of cognitive function demonstrated that higher white matter hyperintensity load was associated with worse global (Mini-Mental State Examination, Montreal Cognitive Assessment) and executive function (Color Trails 2) in APOE4 non-carriers compared to APOE4 carriers in early-stage dementia but not cognitively unimpaired participants. CONCLUSIONS The association between white matter hyperintensities and grey matter loss is more pronounced in APOE4 non-carriers than APOE4 carriers in the cognitively unimpaired and early-stage dementia stages. Furthermore, white matter hyperintensity presence results in poorer executive function in APOE4 non-carriers compared to APOE4 carriers. This finding may have significant impact on the design of clinical trials with disease modifying therapies.
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Grants
- MOE AcRF Tier 3 Award MOE2017-T3-1-002 Ministry of Education - Singapore
- MOE AcRF Tier 3 Award MOE2017-T3-1-002 Ministry of Education - Singapore
- MOE AcRF Tier 3 Award MOE2017-T3-1-002 Ministry of Education - Singapore
- MOE AcRF Tier 3 Award MOE2017-T3-1-002 Ministry of Education - Singapore
- MOE AcRF Tier 3 Award MOE2017-T3-1-002 Ministry of Education - Singapore
- MOE AcRF Tier 3 Award MOE2017-T3-1-002 Ministry of Education - Singapore
- NMRC/CIRG/1415/2015, NMRC/CSA/063/2014, MOH-CSAINV18nov-0007, NMRC/CIRG/14MAY025 National Medical Research Council
- NMRC/CIRG/1415/2015, NMRC/CSA/063/2014, MOH-CSAINV18nov-0007, NMRC/CIRG/14MAY025 National Medical Research Council
- NMRC/CIRG/1415/2015, NMRC/CSA/063/2014, MOH-CSAINV18nov-0007, NMRC/CIRG/14MAY025 National Medical Research Council
- NMRC/CIRG/1415/2015, NMRC/CSA/063/2014, MOH-CSAINV18nov-0007, NMRC/CIRG/14MAY025 National Medical Research Council
- NMRC/CIRG/1415/2015, NMRC/CSA/063/2014, MOH-CSAINV18nov-0007, NMRC/CIRG/14MAY025 National Medical Research Council
- NMRC/CIRG/1415/2015, NMRC/CSA/063/2014, MOH-CSAINV18nov-0007, NMRC/CIRG/14MAY025 National Medical Research Council
- Reference Number: 991016 National Neuroscience Institute-Health Research Endowment Fund (NNI-HREF), Singapore
- Reference Number: 991016 National Neuroscience Institute-Health Research Endowment Fund (NNI-HREF), Singapore
- Reference Number: 991016 National Neuroscience Institute-Health Research Endowment Fund (NNI-HREF), Singapore
- Reference Number: 991016 National Neuroscience Institute-Health Research Endowment Fund (NNI-HREF), Singapore
- Reference Number: 991016 National Neuroscience Institute-Health Research Endowment Fund (NNI-HREF), Singapore
- Reference Number: 991016 National Neuroscience Institute-Health Research Endowment Fund (NNI-HREF), Singapore
- Reference Number: 991016 National Neuroscience Institute-Health Research Endowment Fund (NNI-HREF), Singapore
- Reference Number: 991016 National Neuroscience Institute-Health Research Endowment Fund (NNI-HREF), Singapore
- Reference Number: 991016 National Neuroscience Institute-Health Research Endowment Fund (NNI-HREF), Singapore
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Affiliation(s)
- Ashwati Vipin
- Dementia Research Centre - Lee Kong Chian School of Medicine, Nanyang Technology University, 11 Mandalay Road, Singapore, 308232, Singapore
- National Neuroscience Institute, Singapore, Singapore
| | - Dilip Kumar
- Dementia Research Centre - Lee Kong Chian School of Medicine, Nanyang Technology University, 11 Mandalay Road, Singapore, 308232, Singapore
- National Neuroscience Institute, Singapore, Singapore
| | - See Ann Soo
- Dementia Research Centre - Lee Kong Chian School of Medicine, Nanyang Technology University, 11 Mandalay Road, Singapore, 308232, Singapore
- National Neuroscience Institute, Singapore, Singapore
| | - Fatin Zahra Zailan
- Dementia Research Centre - Lee Kong Chian School of Medicine, Nanyang Technology University, 11 Mandalay Road, Singapore, 308232, Singapore
- National Neuroscience Institute, Singapore, Singapore
| | - Yi Jin Leow
- Dementia Research Centre - Lee Kong Chian School of Medicine, Nanyang Technology University, 11 Mandalay Road, Singapore, 308232, Singapore
- National Neuroscience Institute, Singapore, Singapore
| | - Chen Ling Koh
- National Neuroscience Institute, Singapore, Singapore
| | - Adeline Su Lyn Ng
- National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Kok Pin Ng
- Dementia Research Centre - Lee Kong Chian School of Medicine, Nanyang Technology University, 11 Mandalay Road, Singapore, 308232, Singapore
- National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Nagaendran Kandiah
- Dementia Research Centre - Lee Kong Chian School of Medicine, Nanyang Technology University, 11 Mandalay Road, Singapore, 308232, Singapore.
- National Neuroscience Institute, Singapore, Singapore.
- Duke-NUS Medical School, Singapore, Singapore.
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15
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Gutteridge DS, Segal A, McNeil JJ, Beilin L, Brodtmann A, Chowdhury EK, Egan GF, Ernst ME, Hussain SM, Reid CM, Robb CE, Ryan J, Woods RL, Keage HA, Jamadar S. The relationship between long-term blood pressure variability and cortical thickness in older adults. Neurobiol Aging 2023; 129:157-167. [PMID: 37331246 DOI: 10.1016/j.neurobiolaging.2023.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/02/2023] [Accepted: 05/17/2023] [Indexed: 06/20/2023]
Abstract
High blood pressure variability (BPV) is a risk factor for cognitive decline and dementia, but its association with cortical thickness is not well understood. Here we use a topographical approach, to assess links between long-term BPV and cortical thickness in 478 (54% men at baseline) community dwelling older adults (70-88 years) from the ASPirin in Reducing Events in the Elderly NEURO sub-study. BPV was measured as average real variability, based on annual visits across three years. Higher diastolic BPV was significantly associated with reduced cortical thickness in multiple areas, including temporal (banks of the superior temporal sulcus), parietal (supramarginal gyrus, post-central gyrus), and posterior frontal areas (pre-central gyrus, caudal middle frontal gyrus), while controlling for mean BP. Higher diastolic BPV was associated with faster progression of cortical thinning across the three years. Diastolic BPV is an important predictor of cortical thickness, and trajectory of cortical thickness, independent of mean blood pressure. This finding suggests an important biological link in the relationship between BPV and cognitive decline in older age.
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Affiliation(s)
- D S Gutteridge
- Cognitive Ageing and Impairment Neuroscience Laboratory (CAIN), University of South Australia, Adelaide, South Australia, Australia.
| | - A Segal
- Turner Institute for Brain & Mental Health, Monash University, Melbourne, Victoria, Australia
| | - J J McNeil
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - L Beilin
- School of Medicine, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia, Australia
| | - A Brodtmann
- Cognitive Health Initiative, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - E K Chowdhury
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - G F Egan
- Turner Institute for Brain & Mental Health, Monash University, Melbourne, Victoria, Australia; Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
| | - M E Ernst
- Department of Family Medicine, Carver College of Medicine. The University of Iowa, Iowa City, IA, USA; Department of Pharmacy Practice and Science, College of Pharmacy, Carver College of Medicine. The University of Iowa, Iowa City, IA, USA
| | - S M Hussain
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia; Department of Medical Education, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
| | - C M Reid
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia; School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - C E Robb
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - J Ryan
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - R L Woods
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - H A Keage
- Cognitive Ageing and Impairment Neuroscience Laboratory (CAIN), University of South Australia, Adelaide, South Australia, Australia
| | - S Jamadar
- Turner Institute for Brain & Mental Health, Monash University, Melbourne, Victoria, Australia; Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
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16
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Frantsuzov R, Mondal S, Walsh CM, Reynolds JP, Dooley D, MacManus DB. A finite element model of contusion spinal cord injury in rodents. J Mech Behav Biomed Mater 2023; 142:105856. [PMID: 37087955 DOI: 10.1016/j.jmbbm.2023.105856] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/02/2023] [Accepted: 04/12/2023] [Indexed: 04/25/2023]
Abstract
Traumatic spinal cord injuries result from high impact forces acting on the spine and are proceeded by an extensive secondary inflammatory response resulting in motor, sensory, and autonomic dysfunction. Experimental in vivo traumatic spinal cord injuries in rodents using a contusion model have been extremely useful in elucidating the underlying pathophysiology of these injuries. However, the relationship between the pathophysiology and the biomechanical factors is still not well understood. Therefore, the aim of this research is to provide a comprehensive analysis of the biomechanics of traumatic spinal cord injury in a rat contusion model. This is achieved through the development and validation of a finite element model of the thoracic rat spinal cord and subsequently simulating controlled cortical impact-induced traumatic spinal cord injury. The effects of impactor velocity, depth, and geometry on the resulting stresses and strains within the spinal cord are investigated. Our results show that increasing impactor depth results in larger stresses and strains within the spinal cord tissue as expected. Further, for the first time ever our results show that impactor geometry (spherical versus cylindrical) plays an important role in the distribution and magnitude of stresses and strains within the cord. Therefore, finite element modelling can be a powerful tool used to predict stresses and strains that occur in spinal cord tissue during trauma.
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Affiliation(s)
- Roman Frantsuzov
- School of Mechanical & Manufacturing Engineering, Dublin City University, Dublin, Ireland
| | - Subrata Mondal
- School of Mechanical & Manufacturing Engineering, Dublin City University, Dublin, Ireland
| | - Ciara M Walsh
- School of Medicine, University College Dublin, Dublin, Ireland; Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland
| | - James P Reynolds
- School of Medicine, University College Dublin, Dublin, Ireland; Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland
| | - Dearbhaile Dooley
- School of Medicine, University College Dublin, Dublin, Ireland; Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland
| | - David B MacManus
- School of Mechanical & Manufacturing Engineering, Dublin City University, Dublin, Ireland; MEDeng Research Centre, Dublin City University, Dublin, Ireland; Biodesign Europe, Dublin City University, Dublin, Ireland; School of Mechanical & Materials Engineering, University College Dublin, Dublin, Ireland.
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17
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Ghomroudi PA, Scaltritti M, Grecucci A. Decoding reappraisal and suppression from neural circuits: A combined supervised and unsupervised machine learning approach. Cogn Affect Behav Neurosci 2023:10.3758/s13415-023-01076-6. [PMID: 36977965 PMCID: PMC10400700 DOI: 10.3758/s13415-023-01076-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/06/2023] [Indexed: 03/30/2023]
Abstract
Emotion regulation is a core construct of mental health and deficits in emotion regulation abilities lead to psychological disorders. Reappraisal and suppression are two widely studied emotion regulation strategies but, possibly due to methodological limitations in previous studies, a consistent picture of the neural correlates related to the individual differences in their habitual use remains elusive. To address these issues, the present study applied a combination of unsupervised and supervised machine learning algorithms to the structural MRI scans of 128 individuals. First, unsupervised machine learning was used to separate the brain into naturally grouping grey matter circuits. Then, supervised machine learning was applied to predict individual differences in the use of different strategies of emotion regulation. Two predictive models, including structural brain features and psychological ones, were tested. Results showed that a temporo-parahippocampal-orbitofrontal network successfully predicted the individual differences in the use of reappraisal. Differently, insular and fronto-temporo-cerebellar networks successfully predicted suppression. In both predictive models, anxiety, the opposite strategy, and specific emotional intelligence factors played a role in predicting the use of reappraisal and suppression. This work provides new insights regarding the decoding of individual differences from structural features and other psychologically relevant variables while extending previous observations on the neural bases of emotion regulation strategies.
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Affiliation(s)
- Parisa Ahmadi Ghomroudi
- Clinical and Affective Neuroscience Lab, Department of Psychology and Cognitive Sciences - DiPSCo, University of Trento, Rovereto, Italy.
| | - Michele Scaltritti
- Clinical and Affective Neuroscience Lab, Department of Psychology and Cognitive Sciences - DiPSCo, University of Trento, Rovereto, Italy
| | - Alessandro Grecucci
- Clinical and Affective Neuroscience Lab, Department of Psychology and Cognitive Sciences - DiPSCo, University of Trento, Rovereto, Italy
- Center for Medical Sciences - CISMed, University of Trento, Trento, Italy
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18
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Kaltsouni E, Dubol M, Wikström J, Lanzenberger R, Sundström-Poromaa I, Comasco E. Grey matter morphology in women with premenstrual dysphoric disorder treated with a selective progesterone receptor modulator. Eur Neuropsychopharmacol 2022; 65:35-43. [PMID: 36343426 DOI: 10.1016/j.euroneuro.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 10/05/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022]
Abstract
Premenstrual dysphoric disorder (PMDD) is characterized by severe cyclic mood symptoms emerging in the luteal phase of the menstrual cycle. The variation in progesterone levels and its metabolites during the luteal phase seems critical to the occurrence of PMDD symptoms. Notably, the efficacy of selective progesterone receptor modulator (SPRM) treatment on the mental symptoms of PMDD has been recently demonstrated. In the present study, structural magnetic resonance imaging was used to assess the effects of SPRM treatment, compared with placebo, on grey matter morphology in women with PMDD. In total, 35 women were scanned during the luteal phase, before and after three months of treatment with SPRM or placebo. Symptom severity was assessed using the Daily Record of Severity of Problems (DRSP), while gonadal hormone levels were measured by liquid chromatography-tandem mass spectrometry. Region-of-interest and whole-brain approaches were employed to perform voxel-based morphometry analyses, subcortical volumetric analyses, and surface-based morphometry analyses. No interaction or main effects of treatment and time were observed on grey matter volume and cortical surface measures (cortical thickness, gyrification index, sulcal depth, and fractal dimension). The relationship between change in brain morphology and symptom severity was also explored but no treatment-dependant grey matter structure change was related to symptom severity change. These findings suggest that SPRM treatment does not impart macrostructural changes onto grey matter structure, at least in the short term.
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Faridi F, Seyedebrahimi A, Khosrowabadi R. Brain Structural Covariance Network in Asperger Syndrome Differs From Those in Autism Spectrum Disorder and Healthy Controls. Basic Clin Neurosci 2022; 13:815-838. [PMID: 37323949 PMCID: PMC10262285 DOI: 10.32598/bcn.2021.2262.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 06/06/2020] [Accepted: 06/14/2020] [Indexed: 11/02/2023] Open
Abstract
Introduction Autism is a heterogeneous neurodevelopmental disorder associated with social, cognitive and behavioral impairments. These impairments are often reported along with alteration of the brain structure such as abnormal changes in the grey matter (GM) density. However, it is not yet clear whether these changes could be used to differentiate various subtypes of autism spectrum disorder (ASD). Method We compared the regional changes of GM density in ASD, Asperger's Syndrome (AS) individuals and a group of healthy controls (HC). In addition to regional changes itself, the amount of GM density changes in one region as compared to other brain regions was also calculated. We hypothesized that this structural covariance network could differentiate the AS individuals from the ASD and HC groups. Therefore, statistical analysis was performed on the MRI data of 70 male subjects including 26 ASD (age=14-50, IQ=92-132), 16 AS (age=7-58, IQ=93-133) and 28 HC (age=9-39, IQ=95-144). Result The one-way ANOVA on the GM density of 116 anatomically separated regions showed significant differences among the groups. The pattern of structural covariance network indicated that covariation of GM density between the brain regions is altered in ASD. Conclusion This changed structural covariance could be considered as a reason for less efficient segregation and integration of information in the brain that could lead to cognitive dysfunctions in autism. We hope these findings could improve our understanding about the pathobiology of autism and may pave the way towards a more effective intervention paradigm.
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Affiliation(s)
- Farnaz Faridi
- Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
| | - Afrooz Seyedebrahimi
- Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
| | - Reza Khosrowabadi
- Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
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Binnewies J, Nawijn L, Brandmaier AM, Baaré WFC, Bartrés-Faz D, Drevon CA, Düzel S, Fjell AM, Han LKM, Knights E, Lindenberger U, Milaneschi Y, Mowinckel AM, Nyberg L, Plachti A, Madsen KS, Solé-Padullés C, Suri S, Walhovd KB, Zsoldos E, Ebmeier KP, Penninx BWJH. Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium. Neuroimage Clin 2022; 36:103180. [PMID: 36088843 PMCID: PMC9467888 DOI: 10.1016/j.nicl.2022.103180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/08/2022] [Accepted: 08/30/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Major depressive disorder has been associated with lower prefrontal thickness and hippocampal volume, but it is unknown whether this association also holds for depressive symptoms in the general population. We investigated associations of depressive symptoms and depression status with brain structures across population-based and patient-control cohorts, and explored whether these associations are similar over the lifespan and across sexes. METHODS We included 3,447 participants aged 18-89 years from six population-based and two clinical patient-control cohorts of the European Lifebrain consortium. Cross-sectional meta-analyses using individual person data were performed for associations of depressive symptoms and depression status with FreeSurfer-derived thickness of bilateral rostral anterior cingulate cortex (rACC) and medial orbitofrontal cortex (mOFC), and hippocampal and total grey matter volume (GMV), separately for population-based and clinical cohorts. RESULTS Across patient-control cohorts, depressive symptoms and presence of mild-to-severe depression were associated with lower mOFC thickness (rsymptoms = -0.15/ rstatus = -0.22), rACC thickness (rsymptoms = -0.20/ rstatus = -0.25), hippocampal volume (rsymptoms = -0.13/ rstatus = 0.13) and total GMV (rsymptoms = -0.21/ rstatus = -0.25). Effect sizes were slightly larger for presence of moderate-to-severe depression. Associations were similar across age groups and sex. Across population-based cohorts, no associations between depression and brain structures were observed. CONCLUSIONS Fitting with previous meta-analyses, depressive symptoms and depression status were associated with lower mOFC, rACC thickness, and hippocampal and total grey matter volume in clinical patient-control cohorts, although effect sizes were small. The absence of consistent associations in population-based cohorts with mostly mild depressive symptoms, suggests that significantly lower thickness and volume of the studied brain structures are only detectable in clinical populations with more severe depressive symptoms.
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Affiliation(s)
- Julia Binnewies
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands.
| | - Laura Nawijn
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck, UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany; Department of Psychology, MSB Medical School Berlin, Berlin, Germany
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona and Institut de Neurociències, Universitat de Barcelona, Spain
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo & Vitas Ltd, Oslo Science Park, Oslo, Norway
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck, UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Laura K M Han
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Ethan Knights
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck, UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Yuri Milaneschi
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands
| | | | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Anna Plachti
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark; Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona and Institut de Neurociències, Universitat de Barcelona, Spain
| | - Sana Suri
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom; Department of Psychiatry, University of Oxford, United Kingdom
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Enikő Zsoldos
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom; Department of Psychiatry, University of Oxford, United Kingdom
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, United Kingdom
| | - Brenda W J H Penninx
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands
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Zhang R, Tomasi D, Shokri-Kojori E, Manza P, Feldman DE, Kroll DS, Biesecker CL, McPherson KL, Schwandt M, Wang GJ, Wiers CE, Volkow ND. Effect of detoxification on N3 sleep correlates with brain functional but not structural changes in alcohol use disorder. Drug Alcohol Depend 2022; 238:109545. [PMID: 35779511 PMCID: PMC9444901 DOI: 10.1016/j.drugalcdep.2022.109545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 06/21/2022] [Accepted: 06/22/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Sleep disturbances are very common in alcohol use disorder (AUD) and contribute to relapse. Detoxification appears to have limited effects on sleep problems. However, inter-individual differences and related brain mechanisms have not been closely examined. METHODS We examined N3 sleep and the associated brain functional and structural changes in 30 AUD patients (9 Females, mean age: 42 years) undergoing a 3-week inpatient detoxification. Patients' N3 sleep, resting state functional connectivity (RSFC), grey matter volume (GMV) and negative mood were measured on week 1 and week 3. RESULTS AUD patients did not show significant N3 sleep recovery after 3-weeks of detoxification. However, we observed large variability among AUD patients. Inter-individual variations in N3 increases were associated with increases in midline default mode network (DMN) RSFC but not with GMV using a whole-brain approach. Exploratory analyses revealed significant sex by detoxification effects on N3 sleep such that AUD females showed greater N3 increases than AUD males. Further, N3 increases fully mediated the effect of mood improvement on DMN RSFC increases. CONCLUSIONS We show a significant relationship between N3 and DMN functional changes in AUD over time/abstinence. The current findings may have clinical implications for monitoring brain recovery in AUD using daily sleep measures, which might help guide individualized treatments. Future investigations on sex differences with a larger sample and with longitudinal data for a longer period of abstinence are needed.
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Affiliation(s)
- Rui Zhang
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA.
| | - Dardo Tomasi
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Ehsan Shokri-Kojori
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Peter Manza
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Dana E Feldman
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Danielle S Kroll
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Catherine L Biesecker
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Katherine L McPherson
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Melanie Schwandt
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Corinde E Wiers
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA; National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD 20892-1013, USA.
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22
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Rajagopalan V, Pioro EP. Graph theory network analysis provides brain MRI evidence of a partial continuum of neurodegeneration in patients with UMN-predominant ALS and ALS-FTD. Neuroimage Clin 2022; 35:103037. [PMID: 35597032 PMCID: PMC9123271 DOI: 10.1016/j.nicl.2022.103037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 04/20/2022] [Accepted: 05/04/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Our routine clinical neuroimaging showed hyperintense signal along the corticospinal tract only in some but not all patients with upper motor neuron (UMN)-predominant ALS. ALS patients with CST hyperintensity (ALS-CST+) and those without CST hyperintensity (ALS-CST-) present with nearly identical clinical UMN-predominant symptoms. Some previous studies have suggested that ALS patients with frontotemporal dementia (FTD) are on a continuum with ALS patients without FTD, while others have not. We aimed to determine whether: (a) ALS-CST+, ALS-CST-, and ALS-FTD patients show differential sites of predominant neurodegeneration occurring primarily cortically in the perikaryon or subcortically in the white matter (WM), or (b) UMN-predominant ALS is on a continuum with ALS-FTD. METHODS Exploratory whole brain grey matter (GM) voxel-based morphometry and WM network analysis using graph theory approach were performed. In this exploratory study, MRI data from 58 ALS patients (ALS-FTD, n = 15; ALS-CST+, n = 19; ALS-CST-, n = 24) and 14 neurological controls were obtained. RESULTS Significant differences in degree measures (evaluating WM networks) were observed between ALS patients and controls in frontal, motor, extra-motor, subcortical, and cerebellar regions. GM atrophy was observed only in the ALS-FTD subgroup and not in the other ALS subgroups. CONCLUSION Although WM network disruption by the ALS disease process showed different patterns between ALS-CST+, ALS-CST-, and ALS-FTD subgroups, there were some overlaps, particularly in prefrontal regions and between ALS-CST+ and ALS-FTD patients. Our preliminary findings suggest a partial continuum of, at least, WM degeneration between these subgroups with predominance of cortical pathology ("neuronopathy") in ALS-FTD patients and subcortical WM pathology ("axonopathy") in ALS-CST+ and ALS-CST- patients.
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Affiliation(s)
- Venkateswaran Rajagopalan
- Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, Hyderabad Campus, Hyderabad 500078, India
| | - Erik P Pioro
- Neuromuscular Center, Department of Neurology, Neurological Institute, United States; Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, United States; Neuromuscular Division, The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, United States.
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23
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Shang X, Zhang X, Huang Y, Zhu Z, Zhang X, Liu J, Wang W, Tang S, Yu H, Ge Z, Yang X, He M. Association of a wide range of individual chronic diseases and their multimorbidity with brain volumes in the UK Biobank: A cross-sectional study. EClinicalMedicine 2022; 47:101413. [PMID: 35518119 PMCID: PMC9065617 DOI: 10.1016/j.eclinm.2022.101413] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/27/2022] [Accepted: 04/05/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Little is known regarding associations of conventional and emerging diseases and their multimorbidity with brain volumes. METHODS This cross-sectional study included 36,647 European ancestry individuals aged 44-81 years with brain magnetic resonance imaging data from UK Biobank. Brain volumes were measured between 02 May 2014 and 31 October 2019. General linear regression models were used to associate 57 individual major diseases with brain volumes. Latent class analysis was used to identify multimorbidity patterns. A multimorbidity score for brain volumes was computed based on the estimates for individual groups of diseases. FINDINGS Out of 57 major diseases, 16 were associated with smaller volumes of total brain, 14 with smaller volumes of grey matter, and six with smaller hippocampus volumes, and four major diseases were associated with higher white matter hyperintensity (WMH) load after adjustment for all other diseases. The leading contributors to the variance of total brain volume were hypertension (R2=0·0229), dyslipidemia (0·0190), cataract (0·0176), coronary heart disease (0·0107), and diabetes (0·0077). We identified six major multimorbidity patterns and multimorbidity patterns of cardiometabolic disorders (CMD), and CMD-multiple disorders, and metabolic disorders were independently associated with smaller volumes of total brain (β (95% CI): -6·6 (-8·9, -4·3) ml, -7·3 (-10·4, -4·1) ml, and -10·4 (-13·5, -7·3) ml, respectively), grey matter (-7·1 (-8·5, -5·7) ml, -9·0 (-10·9, -7·1) ml, and -11·8 (-13·6, -9·9) ml, respectively), and higher WMH load (0·23 (0·19, 0·27), 0·25 (0·19, 0·30), and 0·33 (0·27, 0·39), respectively) after adjustment for geographic, socioeconomic, and lifestyle factors (all P-values<0·0001). The percentage of the variance of total brain volume explained by multimorbidity patterns, multimorbidity defined by the number of diseases, and multimorbidity score was 1·2%, 3·1%, and 7·2%, respectively. Associations between CMD-multiple disorders pattern, and metabolic disorders pattern and volumes of total brain, grey matter, and WMH were stronger in men than in women. Associations between multimorbidity and brain volumes were stronger in younger than in older individuals. INTERPRETATION Besides conventional diseases, we found an association between numerous emerging diseases and smaller brain volumes. CMD-related multimorbidity patterns are associated with smaller brain volumes. Men or younger adults with multimorbidity are more in need of care for promoting brain health. These findings are from an association study and will need confirmation. FUNDING The Fundamental Research Funds of the State Key Laboratory of Ophthalmology, Project of Investigation on Health Status of Employees in Financial Industry in Guangzhou, China (Z012014075), Science and Technology Program of Guangzhou, China (202,002,020,049).
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Key Words
- AD, Alzheimer’s disease
- APOE4, Apolipoprotein E ε4
- BMI, body mass index
- Brain volume
- CHD, coronary heart disease
- CI, confidence interval
- CKD, chronic kidney disease
- CMD, cardiometabolic disorders
- COPD, chronic obstructive pulmonary disease
- CVD, cardiovascular disease
- FDR, false discovery rate
- Grey matter
- Hippocampus
- Major diseases
- Moderation analysis
- Multimorbidity
- OLS, ordinary least squares
- WMH, white matter hyperintensity
- White matter hyperintensity
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Affiliation(s)
- Xianwen Shang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Centre for Eye Research Australia, The University of Melbourne, Level 7, 32 Gisborne Street, Melbourne, VIC 3002, Australia
- Corresponding authors at: Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China.
| | - Xueli Zhang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China
| | - Yu Huang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhuoting Zhu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Centre for Eye Research Australia, The University of Melbourne, Level 7, 32 Gisborne Street, Melbourne, VIC 3002, Australia
| | - Xiayin Zhang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jiahao Liu
- Centre for Eye Research Australia, The University of Melbourne, Level 7, 32 Gisborne Street, Melbourne, VIC 3002, Australia
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou 510060, China
| | - Shulin Tang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China
| | - Honghua Yu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China
| | - Zongyuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne, VIC 3800, Australia
| | - Xiaohong Yang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China
| | - Mingguang He
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China
- Centre for Eye Research Australia, The University of Melbourne, Level 7, 32 Gisborne Street, Melbourne, VIC 3002, Australia
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou 510060, China
- Corresponding authors at: Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong 510080, China.
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Soldevila-Matías P, Schoretsanitis G, Tordesillas-Gutierrez D, Cuesta MJ, de Filippis R, Ayesa-Arriola R, González-Vivas C, Setién-Suero E, Verdolini N, Sanjuán J, Radua J, Crespo-Facorro B. Neuroimaging correlates of insight in non-affective psychosis: A systematic review and meta-analysis. Rev Psiquiatr Salud Ment (Engl Ed) 2022; 15:117-133. [PMID: 35840278 DOI: 10.1016/j.rpsmen.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 07/01/2021] [Indexed: 06/15/2023]
Abstract
OBJECTIVE Neurological correlates of impaired insight in non-affective psychosis remain unclear. This study aimed to review and meta-analyze the studies assessing the grey matter volumetric correlates of impaired insight in non-affective psychosis. METHODS This study consisted of a systematic review of 23 studies, and a meta-analysis with SDM-PSI of the 11 studies that were whole-brain and reported maps or peaks of correlation of studies investigating the grey matter volumetric correlates of insight assessments of non-affective psychosis, PubMed and OVID datasets were independently reviewed for articles reporting neuroimaging correlates of insight in non-affective psychosis. Quality assessment was realized following previous methodological approaches for the ABC quality assessment test of imaging studies, based on two main criteria: the statistical power and the multidimensional assessment of insight. Study peaks of correlation between grey matter volume and insight were used to recreate brain correlation maps. RESULTS A total of 418 records were identified through database searching. Of these records, twenty-three magnetic resonance imaging (MRI) studies that used different insight scales were included. The quality of the evidence was high in 11 studies, moderate in nine, and low in three. Patients with reduced insight showed decreases in the frontal, temporal (specifically in superior temporal gyrus), precuneus, cingulate, insula, and occipital lobes cortical grey matter volume. The meta-analysis indicated a positive correlation between grey matter volume and insight in the right insula (i.e., the smaller the grey matter, the lower the insight). CONCLUSION Several brain areas might be involved in impaired insight in patients with non-affective psychoses. The methodologies employed, such as the applied insight scales, may have contributed to the considerable discrepancies in the findings.
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Affiliation(s)
- Pau Soldevila-Matías
- Department of Basic Psychology, Faculty of Psychology, University of Valencia, Valencia, Spain; Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; National Reference Center for Psychosocial Care for People with Serious Mental Disorder (CREAP), Valencia, Spain
| | - Georgios Schoretsanitis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA
| | - Diana Tordesillas-Gutierrez
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain.
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Renato de Filippis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA; Psychiatry Unit Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Rosa Ayesa-Arriola
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Carlos González-Vivas
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain
| | - Esther Setién-Suero
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel Street, 12-0, 08036 Barcelona, Spain
| | - Julio Sanjuán
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Department of Psychiatric, University of Valencia, School of Medicine, Valencia, Spain
| | - Joaquim Radua
- CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Benedicto Crespo-Facorro
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
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Lie IA, Kerklingh E, Wesnes K, van Nederpelt DR, Brouwer I, Torkildsen Ø, Myhr KM, Barkhof F, Bø L, Vrenken H. The effect of gadolinium-based contrast-agents on automated brain atrophy measurements by FreeSurfer in patients with multiple sclerosis. Eur Radiol 2022; 32:3576-87. [PMID: 34978580 DOI: 10.1007/s00330-021-08405-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 09/07/2021] [Accepted: 10/12/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To determine whether reliable brain atrophy measures can be obtained from post-contrast 3D T1-weighted images in patients with multiple sclerosis (MS) using FreeSurfer. METHODS Twenty-two patients with MS were included, in which 3D T1-weighted MR images were obtained during the same scanner visit, with the same acquisition protocol, before and after administration of gadolinium-based contrast agents (GBCAs). Two FreeSurfer versions (v.6.0.1 and v.7.1.1.) were applied to calculate grey matter (GM) and white matter (WM) volumes and global and regional cortical thickness. The consistency between measures obtained in pre- and post-contrast images was assessed by intra-class correlation coefficient (ICC), the difference was investigated by paired t-tests, and the mean percentage increase or decrease was calculated for total WM and GM matter volume, total deep GM and thalamus volume, and mean cortical thickness. RESULTS Good to excellent reliability was found between all investigated measures, with ICC ranging from 0.926 to 0.996, all p values < 0.001. GM volumes and cortical thickness measurements were significantly higher in post-contrast images by 3.1 to 17.4%, while total WM volume decreased significantly by 1.7% (all p values < 0.001). CONCLUSION The consistency between values obtained from pre- and post-contrast images was excellent, suggesting it may be possible to extract reliable brain atrophy measurements from T1-weighted images acquired after administration of GBCAs, using FreeSurfer. However, absolute values were systematically different between pre- and post-contrast images, meaning that such images should not be compared directly. Potential systematic effects, possibly dependent on GBCA dose or the delay time after contrast injection, should be investigated. TRIAL REGISTRATION Clinical trials.gov. identifier: NCT00360906. KEY POINTS • The influence of gadolinium-based contrast agents (GBCAs) on atrophy measurements is still largely unknown and challenges the use of a considerable source of historical and prospective real-world data. • In 22 patients with multiple sclerosis, the consistency between brain atrophy measurements obtained from pre- and post-contrast images was excellent, suggesting it may be possible to extract reliable atrophy measurements in T1-weighted images acquired after administration of GBCAs, using FreeSurfer. • Absolute values were systematically different between pre- and post-contrast images, meaning that such images should not be compared directly, and measurements extracted from certain regions (e.g., the temporal pole) should be interpreted with caution.
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Benedetti F, Palladini M, Paolini M, Melloni E, Vai B, De Lorenzo R, Furlan R, Rovere-Querini P, Falini A, Mazza MG. Brain correlates of depression, post-traumatic distress, and inflammatory biomarkers in COVID-19 survivors: A multimodal magnetic resonance imaging study. Brain Behav Immun Health 2021; 18:100387. [PMID: 34746876 PMCID: PMC8562046 DOI: 10.1016/j.bbih.2021.100387] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 10/31/2021] [Indexed: 01/08/2023] Open
Abstract
Psychiatric sequelae substantially contribute to the post-acute burden of disease associated with COVID-19, persisting months after clearance of the virus. Brain imaging shows white matter (WM) hypodensities/hyperintensities, and the involvement of grey matter (GM) in prefrontal, anterior cingulate (ACC) and insular cortex after COVID, but little is known about brain correlates of persistent psychopathology. With a multimodal approach, we studied whole brain voxel-based morphometry, diffusion-tensor imaging, and resting-state connectivity, to correlate MRI measures with depression and post-traumatic distress (PTSD) in 42 COVID-19 survivors without brain lesions, at 90.59 ± 54.66 days after COVID. Systemic immune-inflammation index (SII) measured in the emergency department, which reflects the immune response and systemic inflammation based on peripheral lymphocyte, neutrophil, and platelet counts, predicted worse self-rated depression and PTSD, widespread lower diffusivity along the main axis of WM tracts, and abnormal functional connectivity (FC) among resting state networks. Self-rated depression and PTSD inversely correlated with GM volumes in ACC and insula, axial diffusivity, and associated with FC. We observed overlapping associations between severity of inflammation during acute COVID-19, brain structure and function, and severity of depression and post-traumatic distress in survivors, thus warranting interest for further study of brain correlates of the post-acute COVID-19 syndrome. Beyond COVID-19, these findings support the hypothesis that regional GM, WM microstructure, and FC could mediate the relationship between a medical illness and its psychopathological sequelae, and are in agreement with current perspectives on the brain structural and functional underpinnings of depressive psychopathology.
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Affiliation(s)
- Francesco Benedetti
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Mariagrazia Palladini
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Marco Paolini
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
- PhD Program in Molecular Medicine, University Vita-Salute San Raffaele, Milan, Italy
| | - Elisa Melloni
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Benedetta Vai
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Rebecca De Lorenzo
- Vita-Salute San Raffaele University, Milano, Italy
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Roberto Furlan
- Clinical Neuroimmunology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Patrizia Rovere-Querini
- Vita-Salute San Raffaele University, Milano, Italy
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Andrea Falini
- Vita-Salute San Raffaele University, Milano, Italy
- Department of Neuroradiology, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Mario Gennaro Mazza
- Vita-Salute San Raffaele University, Milano, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
- PhD Program in Cognitive Neuroscience, University Vita-Salute San Raffaele, Milan, Italy
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Milos G, Kaufmann LK, Jäncke L, Piccirelli M, Blatow M, Martin-Soelch C, von Känel R, Hänggi J, Baur V. Does local cerebellar volume predict treatment success in anorexia nervosa? Psychiatry Res Neuroimaging 2021; 317:111355. [PMID: 34450453 DOI: 10.1016/j.pscychresns.2021.111355] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 07/29/2021] [Accepted: 08/03/2021] [Indexed: 12/21/2022]
Abstract
Anorexia nervosa (AN) is difficult to treat with up to half of patients failing to gain weight during treatment. Neurobiological factors predicting treatment response in AN are poorly understood. In this longitudinal study, we aimed to identify morphological characteristics in the grey matter which predict treatment success in patients with AN. Fifty patients with severe AN participated in an eating disorder-specific inpatient treatment. On admission, T1-weighted magnetic resonance images were acquired from all patients. Half of the patients successfully gained weight, reaching a body-mass index ≥ 17.5 kg/m2. Using voxel-based morphometry, local grey matter volumes were compared between the two groups of patients who gained weight and those who did not. This approach allowed us to identify anatomical characteristics which predict treatment success in terms of post-treatment weight status. Patients who did not reach the weight threshold at discharge had a smaller volume in the right cerebellar crus I at the time of admission. In this group, smaller volume was associated with a greater alexithymia score. The findings suggest that a trophic state within the cerebellum before treatment might be prognostic for treatment success. Consistent with previous reports, this result further substantiates the possible role of the cerebellum in the psychopathology of AN.
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Affiliation(s)
- Gabriella Milos
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Lisa-Katrin Kaufmann
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, Zurich, Switzerland; Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland.
| | - Lutz Jäncke
- Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland; University Research Priority Program (URPP) "Dynamic of Healthy Aging", University of Zurich, Zurich, Switzerland
| | - Marco Piccirelli
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
| | - Maria Blatow
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
| | - Chantal Martin-Soelch
- Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Roland von Känel
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Jürgen Hänggi
- Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Volker Baur
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, Zurich, Switzerland
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Arunachalam Chandran V, Pliatsikas C, Neufeld J, O'Connell G, Haffey A, DeLuca V, Chakrabarti B. Brain structural correlates of autistic traits across the diagnostic divide: A grey matter and white matter microstructure study. Neuroimage Clin 2021; 32:102897. [PMID: 34911200 PMCID: PMC8641248 DOI: 10.1016/j.nicl.2021.102897] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 10/25/2021] [Accepted: 11/22/2021] [Indexed: 12/02/2022]
Abstract
Autism Spectrum Disorders (ASD) are a set of neurodevelopmental conditions characterised by difficulties in social interaction and communication as well as stereotyped and restricted patterns of interest. Autistic traits exist in a continuum across the general population, whilst the extreme end of this distribution is diagnosed as clinical ASD. While many studies have investigated brain structure in autism using a case-control design, few have used a dimensional approach. To add to this growing body of literature, we investigated the structural brain correlates of autistic traits in a mixed sample of adult participants (25 ASD and 66 neurotypicals; age: 18-60 years). We examined the relationship between regional brain volumes (using voxel-based morphometry and surface-based morphometry) and white matter microstructure properties (using Diffusion Tensor Imaging) and autistic traits (using Autism Spectrum Quotient). Our findings show grey matter differences in regions including the orbitofrontal cortex and lingual gyrus, and suggestive evidence for white matter microstructure differences in tracts including the superior longitudinal fasciculus being related to higher autistic traits. These grey matter and white matter microstructure findings from our study are consistent with previous reports and support the brain structural differences in ASD. These findings provide further support for shared aetiology for autistic traits across the diagnostic divide.
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Affiliation(s)
- Varun Arunachalam Chandran
- Centre for Autism, School of Psychology and Clinical Language Sciences (SPCLS), University of Reading, UK; Center for Mind and Brain, University of California Davis, Davis, CA, USA.
| | - Christos Pliatsikas
- School of Psychology and Clinical Language Sciences, University of Reading, Harry Pitt Building, Earley Gate, Whiteknights Road, Reading RG6 6AL, UK; Centro de Ciencia Cognitiva, Facultad de Lenguas y Educación, Universidad Antonio de Nebrija, Calle de Sta. Cruz de Marcenado, 27, 28015 Madrid, Spain
| | - Janina Neufeld
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
| | | | - Anthony Haffey
- Centre for Autism, School of Psychology and Clinical Language Sciences (SPCLS), University of Reading, UK
| | - Vincent DeLuca
- Department of Language and Culture, UiT- The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway
| | - Bhismadev Chakrabarti
- Centre for Autism, School of Psychology and Clinical Language Sciences (SPCLS), University of Reading, UK; Department of Psychology, Ashoka University, Sonipat, India; India Autism Center, Kolkata, India
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McEwen AM, Burgess DTA, Hanstock SEC, Hanstock CC, Seres P, Khalili P, Newman SC, Baker GB, Mitchell ND, Allen PS, Le Melledo JM. Glutamate levels in the medial prefrontal cortex of healthy pregnant women compared to non-pregnant controls. Psychoneuroendocrinology 2021; 133:105382. [PMID: 34419762 DOI: 10.1016/j.psyneuen.2021.105382] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 04/20/2021] [Accepted: 08/04/2021] [Indexed: 11/21/2022]
Abstract
Very little is known about maternal cerebral changes during pregnancy. Since there is an increased risk for major depression during pregnancy and postpartum, it is important to understand the structural and neurochemical changes that occur in the brain during pregnancy. Using proton magnetic resonance spectroscopy (1H-MRS) (3 T field strength), glutamate (Glu) levels were measured in the medial prefrontal cortex (MPFC) of 21 healthy gravid subjects 2-3 weeks before their due date (6.74 ± 1.39), and in 14 non-pregnant healthy controls during their follicular phase (8.53 ± 1.55). Water quantified MPFC Glu levels were decreased in pregnant women (p < 0.01). We also observed a 13.9% decrease in percentage grey matter (%GM) (p < 0.01) in our MPFC voxel. As Glu is mostly found in GM, we repeated the statistical analysis after adjustment for %GM and found that the difference in Glu levels was no longer statistically significant when adjusted for %GM (p = 0.10). This investigation is the only systematic direct investigation of brain tissue composition and Glu levels in pregnant women. The main finding of this investigation is the decreased %GM in healthy pregnant women compared to non-pregnant women. These findings of decreased %GM in pregnancy may be responsible for the frequent complaints by pregnant women of cognitive difficulties also described as pregnesia.
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Zhou HY, Shi LJ, Shen YM, Fang YM, He YQ, Li HB, Luo XR, Cheung EFC, Chan RCK. Altered topographical organization of grey matter structural network in early-onset schizophrenia. Psychiatry Res Neuroimaging 2021; 316:111344. [PMID: 34358964 DOI: 10.1016/j.pscychresns.2021.111344] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 05/18/2021] [Accepted: 06/10/2021] [Indexed: 01/21/2023]
Abstract
Schizophrenia is characterized by both disrupted neurodevelopmental processes and abnormal brain connectivity. However, few studies have examined the atypical features of brain network topography associated with schizophrenia during childhood and adolescence. We used graph theory to compare the grey matter structural networks of individuals (aged 10-15 years) with early-onset schizophrenia (EOS) (n = 25) and a typically-developing (TD) comparison group (n = 31). Compared with the TD group, EOS patients showed significantly increased clustering and local efficiency across a range of network densities (0.3 - 0.4). The network of EOS patients also had more modules (6 modules in EOS vs. 3 modules in controls), indicating a more segregated network at the cost of functional integration. Although our results were preliminary and failed to survive corrections for multiple comparisons, EOS patients might be characterized by altered nodal centrality in several higher-order associative regions including the prefrontal cortex, the hippocampus and the cerebellum. The EOS structural network also lacked the typical left-hemispheric-dominant hub distribution compared with the TD group. These findings suggest that brain structural network was not only globally but also regionally altered in EOS patients.
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Affiliation(s)
- Han-Yu Zhou
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Li-Juan Shi
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; School of Education, Hunan University of Science and Technology, Xiangtan, Hunan, China
| | - Yan-Mei Shen
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yu-Min Fang
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yu-Qiong He
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hua-Bing Li
- Medical Imaging Department, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xue-Rong Luo
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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31
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Pietracupa S, Bologna M, Tommasin S, Berardelli A, Pantano P. The Contribution of Neuroimaging to the Understanding of Essential Tremor Pathophysiology: a Systematic Review. Cerebellum 2021; 21:1029-1051. [PMID: 34657271 DOI: 10.1007/s12311-021-01335-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/10/2021] [Indexed: 12/14/2022]
Abstract
Essential tremor (ET) is one of the most common movement disorders. Over the last 10 years, magnetic resonance imaging (MRI) has shed light on the structural and functional abnormalities possibly involved in ET pathophysiology. In this systematic review, we aimed to identify the cortical and subcortical structures involved and the role that different brain areas play in the pathophysiology of motor and non-motor ET features. We found that structural (grey and white matter) cerebellar damage and connectivity alterations between the cerebellum and various cortical areas play a role in both motor and non-motor symptoms of ET. In particular, many studies found an association between MRI findings and non-motor symptoms.
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Affiliation(s)
| | - Matteo Bologna
- IRCCS Neuromed, Via Atinense 18, Pozzilli, IS, Italy.,Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Silvia Tommasin
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Alfredo Berardelli
- IRCCS Neuromed, Via Atinense 18, Pozzilli, IS, Italy.,Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Patrizia Pantano
- IRCCS Neuromed, Via Atinense 18, Pozzilli, IS, Italy.,Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
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Fekonja LS, Wang Z, Doppelbauer L, Vajkoczy P, Picht T, Pulvermüller F, Dreyer FR. Lesion-symptom mapping of language impairments in patients suffering from left perisylvian gliomas. Cortex 2021; 144:1-14. [PMID: 34537591 DOI: 10.1016/j.cortex.2021.08.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 05/10/2021] [Accepted: 08/02/2021] [Indexed: 11/30/2022]
Abstract
Brain tumors cause local structural impairments of the cerebral network. Moreover, brain tumors can also affect functional brain networks more distant from the lesion. In this study, we analyzed the impact of glioma WHO grade II-IV tumors on grey and white matter in relation to impaired language function. In a retrospective analysis of 60 patients, 14 aphasic and 46 non-aphasic, voxel-based lesion-symptom mapping (VLSM) was used to identify tumor induced lesions in grey (GM) and white matter (WM) related to patients' performance in subtests of the Aachen Aphasia Test (AAT). Significant clusters were analyzed for atlas-based grey and white matter involvements in relation to different linguistic modalities. VLSM analysis indicated significant contribution of a posterior perisylvian cluster covering WM and GM to AAT performance averaged across subtests. When considering individual AAT subtests, a substantial overlap between significant clusters for analysis of the token test, picture naming and language comprehension results could be observed. The WM-cluster intersections reflect the overall importance of the perisylvian area in language function, similarly to GM participations. Especially the constant high percentages of Heschl's gyrus, superior temporal gyrus, inferior longitudinal and middle longitudinal fascicles, but also arcuate and inferior fronto-occipital fascicles highlight the importance of the posterior perisylvian area for language function.
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Affiliation(s)
- Lucius S Fekonja
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany; Cluster of Excellence: "Matters of Activity. Image Space Material", Humboldt University, Berlin, Germany.
| | - Ziqian Wang
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lea Doppelbauer
- Freie Universität Berlin, Brain Language Laboratory, Department of Philosophy and Humanities, Berlin, Germany
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Thomas Picht
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany; Cluster of Excellence: "Matters of Activity. Image Space Material", Humboldt University, Berlin, Germany
| | - Friedemann Pulvermüller
- Cluster of Excellence: "Matters of Activity. Image Space Material", Humboldt University, Berlin, Germany; Freie Universität Berlin, Brain Language Laboratory, Department of Philosophy and Humanities, Berlin, Germany
| | - Felix R Dreyer
- Cluster of Excellence: "Matters of Activity. Image Space Material", Humboldt University, Berlin, Germany; Freie Universität Berlin, Brain Language Laboratory, Department of Philosophy and Humanities, Berlin, Germany; Medical School OWL, Bielefeld University, Bielefeld, Germany
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Zhu J, Xu C, Zhang X, Qiao L, Wang X, Zhang X, Yan X, Ni D, Yu T, Zhang G, Li Y. Grey and white matter microstructure changes in epilepsy patients with vagus nerve stimulators. Clin Neurol Neurosurg 2021; 209:106918. [PMID: 34500340 DOI: 10.1016/j.clineuro.2021.106918] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 08/15/2021] [Accepted: 08/25/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVES Vagus nerve stimulation (VNS) has been widely used as an effective treatment for patients with drug-resistant epilepsy (DRE). However, little is known about grey matter (GM) and white matter (WM) microstructure changes caused by VNS. This study aimed to detect consistent GM and WM alterations in epilepsy patients with vagus nerve stimulators. METHODS The diffusion tensor imaging data was acquired from 15 patients who underwent VNS implantation. The voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) were used to detect group differences in GM and WM microstructure and explore their correlation with postoperative seizure reduction. RESULTS After 3 months of stimulation, GM density reduced in right cerebellum, left superior temporal gyrus, right inferior temporal gyrus and left thalamus, and increased in left cerebellum, left inferior parietal lobule, left middle occipital gyrus and left gyrus rectus. No significant volume changes had been found in 14 subcortical nuclei. The fractional anisotropy (FA) values reduced in left superior longitudinal fasciculus and left corticospinal tract, and increased in bilateral cingulum and body of corpus callosum. The mean diffusivity (MD) values reduced in right retrolenticular part of internal capsule, right posterior corona radiata and right superior longitudinal fasciculus. The seizure reduction had positive correlation trends with the volume reduction in left nucleus accumbens and right amygdala, and MD reduction in right medial lemniscus and right posterior corona radiata. CONCLUSIONS The results showed that VNS could cause changes of GM density, WM FA and MD values in epilepsy patients. The volume and MD reduction in some subcortical structures might participate in the seizure frequency reduction of VNS.
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Su S, Chen Y, Dai Y, Lin L, Qian L, Zhou Q, Zou M, Zhang H, Liu M, Xiang X, Yang Z. Quantitative synthetic MRI reveals grey matter abnormalities in children with drug-naïve attention-deficit/hyperactivity disorder. Brain Imaging Behav 2021; 16:406-414. [PMID: 34491528 DOI: 10.1007/s11682-021-00514-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2021] [Indexed: 12/20/2022]
Abstract
To investigate the quantitative profiles of brain grey matter (GM) in pediatric drug-naïve ADHD patients using synthetic magnetic resonance imaging (SyMRI). A total of 37 drug-naïve pediatric ADHD and 27 age- and gender-matched healthy controls (HC) were enrolled in this study. Each subject underwent both SyMRI and conventional 3D T1-FSPGR scans. Quantitative parameters, T1 and T2 maps, were extracted from the SyMRI data. Between-group quantitative maps were compared using a general linear model analysis. Pearson correlation analysis was conducted to assess the association between significantly altered MR indices and clinical measurements in ADHD. Compared with the HC group, altered T1 and T2 relaxometry times in the ADHD group were mainly distributed in GM regions of the cerebellum, attention and execution control network, default mode network, and limbic areas. Moreover, the T1 value of the right cerebellum 8 was negatively correlated with the attention concentration level in ADHD (R = 0.140, P = 0.0225). With regards to T2 map, the associations were observed between the attention level of ADHD patients and left fusiform gyrus (R = 0.251, P = 0.0016), and right cerebellum crus2 (R = 0.142, P = 0.0214). Altered T1, T2 values found in specific regions of GM, including cerebellum, attention and execution control network, default mode network, and limbic areas, may reveal widespread micromorphology changes, i.e., brain iron deficiency, low myelin content, and enlarged vascular interstitial space in ADHD patients. Thus, T1, T2 values might be promising imaging markers for future ADHD studies.
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Affiliation(s)
- Shu Su
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Yingqian Chen
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Yan Dai
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Liping Lin
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Long Qian
- MR Research, GE Healthcare, Beijing, People's Republic of China
| | - Qin Zhou
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Mengsha Zou
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Hongyu Zhang
- Department of Pediatric, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Meina Liu
- Department of Pediatric, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Xianhong Xiang
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
| | - Zhiyun Yang
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
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Payne M, Mali I, McKinnell ZE, Vangsness L, Shrestha TB, Bossmann SH, Plakke B. Increased volumes of lobule VI in a valproic acid model of autism are associated with worse set-shifting performance in male Long-Evan rats. Brain Res 2021; 1765:147495. [PMID: 33894224 PMCID: PMC8205983 DOI: 10.1016/j.brainres.2021.147495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/15/2021] [Accepted: 04/17/2021] [Indexed: 11/27/2022]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a skewed sex-based diagnostic ratio. While males are at a higher risk for ASD, it is critical to understand the neurobiology of the disorder to develop better treatments for both males and females. Our prior work has demonstrated that VPA (valproic acid) treated offspring had impaired performance on an attentional set-shifting task. The current study used MRI and regions of interest analyses to measure the volumes of cerebellar subregions in VPA and controls rats that had participated in the attentional set-shifting task. VPA males had significantly more volume in lobule VI compared to male controls. VPA female rats had significantly less volume in lobules I, IV and X compared to female controls. In addition, it was revealed that decreases in volume for VPA females was associated with worse performance. Males with increases in lobule VI were also impaired on the set-shifting task. Similar volumetric differences within the cerebellum have been observed in humans with ASD, which suggests that the VPA model is capturing some of the same brain changes observed in humans with ASD, and that these changes in volume may be impacting cognition.
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Affiliation(s)
- Macy Payne
- Department of Chemistry, Kansas State University, Manhattan, KS, USA
| | - Ivina Mali
- Department of Chemistry, Kansas State University, Manhattan, KS, USA
| | - Zach E McKinnell
- Department of Psychological Sciences, Kansas State University, Manhattan, KS, USA
| | - Lisa Vangsness
- Department of Psychology, Wichita State University, Wichita, KS, USA
| | - Tej B Shrestha
- Department of Anatomy & Physiology, Nanotechnology Innovation Center of Kansas State-NICKS, KS, USA
| | - Stefan H Bossmann
- Department of Chemistry, Kansas State University, Manhattan, KS, USA
| | - Bethany Plakke
- Department of Psychological Sciences, Kansas State University, Manhattan, KS, USA.
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Ianus A, Alexander DC, Zhang H, Palombo M. Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. Neuroimage 2021; 241:118424. [PMID: 34311067 PMCID: PMC8961003 DOI: 10.1016/j.neuroimage.2021.118424] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 07/13/2021] [Accepted: 07/21/2021] [Indexed: 01/18/2023] Open
Abstract
This paper investigates the impact of cell body (namely soma) size and branching of cellular projections on diffusion MR imaging (dMRI) and spectroscopy (dMRS) signals for both standard single diffusion encoding (SDE) and more advanced double diffusion encoding (DDE) measurements using numerical simulations. The aim is to investigate the ability of dMRI/dMRS to characterize the complex morphology of brain cells focusing on these two distinctive features of brain grey matter. To this end, we employ a recently developed computational framework to create three dimensional meshes of neuron-like structures for Monte Carlo simulations, using diffusion coefficients typical of water and brain metabolites. Modelling the cellular structure as realistically connected spherical soma and cylindrical cellular projections, we cover a wide range of combinations of sphere radii and branching order of cellular projections, characteristic of various grey matter cells. We assess the impact of spherical soma size and branching order on the b-value dependence of the SDE signal as well as the time dependence of the mean diffusivity (MD) and mean kurtosis (MK). Moreover, we also assess the impact of spherical soma size and branching order on the angular modulation of DDE signal at different mixing times, together with the mixing time dependence of the apparent microscopic anisotropy (μA), a promising contrast derived from DDE measurements. The SDE results show that spherical soma size has a measurable impact on both the b-value dependence of the SDE signal and the MD and MK diffusion time dependence for both water and metabolites. On the other hand, we show that branching order has little impact on either, especially for water. In contrast, the DDE results show that spherical soma size has a measurable impact on the DDE signal's angular modulation at short mixing times and the branching order of cellular projections significantly impacts the mixing time dependence of the DDE signal's angular modulation as well as of the derived μA, for both water and metabolites. Our results confirm that SDE based techniques may be sensitive to spherical soma size, and most importantly, show for the first time that DDE measurements may be more sensitive to the dendritic tree complexity (as parametrized by the branching order of cellular projections), paving the way for new ways of characterizing grey matter morphology, non-invasively using dMRS and potentially dMRI.
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Affiliation(s)
- A Ianus
- Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom; Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - D C Alexander
- Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom
| | - H Zhang
- Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom
| | - M Palombo
- Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom.
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Soldevila-Matías P, Schoretsanitis G, Tordesillas-Gutierrez D, Cuesta MJ, de Filippis R, Ayesa-Arriola R, González-Vivas C, Setién-Suero E, Verdolini N, Sanjuán J, Radua J, Crespo-Facorro B. Neuroimaging correlates of insight in non-affective psychosis: A systematic review and meta-analysis. Rev Psiquiatr Salud Ment (Engl Ed) 2021; 15:S1888-9891(21)00067-7. [PMID: 34271162 DOI: 10.1016/j.rpsm.2021.07.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/28/2021] [Accepted: 07/01/2021] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Neurological correlates of impaired insight in non-affective psychosis remain unclear. This study aimed to review and meta-analyze the studies assessing the grey matter volumetric correlates of impaired insight in non-affective psychosis. METHODS This study consisted of a systematic review of 23 studies, and a meta-analysis with SDM-PSI of the 11 studies that were whole-brain and reported maps or peaks of correlation of studies investigating the grey matter volumetric correlates of insight assessments of non-affective psychosis, PubMed and OVID datasets were independently reviewed for articles reporting neuroimaging correlates of insight in non-affective psychosis. Quality assessment was realized following previous methodological approaches for the ABC quality assessment test of imaging studies, based on two main criteria: the statistical power and the multidimensional assessment of insight. Study peaks of correlation between grey matter volume and insight were used to recreate brain correlation maps. RESULTS A total of 418 records were identified through database searching. Of these records, twenty-three magnetic resonance imaging (MRI) studies that used different insight scales were included. The quality of the evidence was high in 11 studies, moderate in nine, and low in three. Patients with reduced insight showed decreases in the frontal, temporal (specifically in superior temporal gyrus), precuneus, cingulate, insula, and occipital lobes cortical grey matter volume. The meta-analysis indicated a positive correlation between grey matter volume and insight in the right insula (i.e., the smaller the grey matter, the lower the insight). CONCLUSION Several brain areas might be involved in impaired insight in patients with non-affective psychoses. The methodologies employed, such as the applied insight scales, may have contributed to the considerable discrepancies in the findings.
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Affiliation(s)
- Pau Soldevila-Matías
- Department of Basic Psychology, Faculty of Psychology, University of Valencia, Valencia, Spain; Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; National Reference Center for Psychosocial Care for People with Serious Mental Disorder (CREAP), Valencia, Spain
| | - Georgios Schoretsanitis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA
| | - Diana Tordesillas-Gutierrez
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain.
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Renato de Filippis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA; Psychiatry Unit Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Rosa Ayesa-Arriola
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Carlos González-Vivas
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain
| | - Esther Setién-Suero
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel Street, 12-0, 08036 Barcelona, Spain
| | - Julio Sanjuán
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Department of Psychiatric, University of Valencia, School of Medicine, Valencia, Spain
| | - Joaquim Radua
- CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Benedicto Crespo-Facorro
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
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Charroud C, Turella L. Subcortical grey matter changes associated with motor symptoms evaluated by the Unified Parkinson's disease Rating Scale (part III): A longitudinal study in Parkinson's disease. Neuroimage Clin 2021; 31:102745. [PMID: 34225020 PMCID: PMC8264213 DOI: 10.1016/j.nicl.2021.102745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 03/26/2021] [Accepted: 06/23/2021] [Indexed: 01/18/2023]
Abstract
Decreased grey matter volume over time suggests a subcortical alteration in PD. Decreased volume in the thalamus may be related to the decline in motor skills. Increased volume in the pallidum may contribute to motor impairment. Structural changes in line with the model of basal ganglia-thalamocortical circuits. VBM and volumetry might capture complementary aspects of structural changes in PD.
Parkinson disease (PD) is characterized by motor deficits related to structural changes in the basal ganglia-thalamocortical circuits. However, it is still unclear the exact nature of the association between grey matter alterations and motor symptoms. Therefore, the aim of our investigation was to identify the subcortical modifications associated with motor symptoms of PD over time - adopting voxel-based morphometry (VBM) and automated volumetry methods. We selected fifty subjects with PD from the Parkinson’s Progression Markers Initiative (PPMI) database, who performed an MRI session at two time points: at baseline (i.e. at maximum 2 years after clinical diagnosis of PD) and after 48 months. Motor symptoms were assessed using the part III of the Unified Parkinson’s Disease Rating Scale at the two time points. Our VBM and volumetric analyses showed a general atrophy in all subcortical regions when comparing baseline with 48 months. These findings confirmed previous observations indicating a subcortical alteration over time in PD. Furthermore, our findings supported the idea that a reduced volume in the thalamus and an increased volume in pallidum may be related to the decline in motor skills. These structural modifications are in accordance with the functional model of the basal ganglia-thalamocortical circuits controlling movements. Moreover, VBM and volumetry provided partially overlapping results, suggesting that these methods might capture complementary aspects of brain degeneration in PD.
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Affiliation(s)
- Céline Charroud
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto (TN), Italy.
| | - Luca Turella
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto (TN), Italy
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Koch K, Rodriguez-Manrique D, Rus-Oswald OG, Gürsel DA, Berberich G, Kunz M, Zimmer C. Homogeneous grey matter patterns in patients with obsessive-compulsive disorder. Neuroimage Clin 2021; 31:102727. [PMID: 34146774 PMCID: PMC8220095 DOI: 10.1016/j.nicl.2021.102727] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 05/19/2021] [Accepted: 06/09/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Changes in grey matter volume have frequently been reported in patients with obsessive-compulsive disorder (OCD). Most studies performed whole brain or region-of-interest based analyses whereas grey matter volume based on structural covariance networks has barely been investigated up to now. Therefore, the present study investigated grey matter volume within structural covariance networks in a sample of 228 participants (n = 117 OCD patients, n = 111 healthy controls). METHODS First, an independent component analysis (ICA) was performed on all subjects' preprocessed T1 images to derive covariance-dependent morphometric networks. Then, grey matter volume from each of the ICA-derived morphometric networks was extracted and compared between the groups. In addition, we performed logistic regressions and receiver operating characteristic (ROC) analyses to investigate whether network-related grey matter volume could serve as a characteristic that allows to differentiate patients from healthy volunteers. Moreover, we assessed grey matter pattern organization by correlating grey matter volume in all networks across all participants. Finally, we explored a potential association between grey matter volume or whole-brain grey matter pattern organization and clinical characteristics in terms of symptom severity and duration of illness. RESULTS There were only subtle group differences in network-related grey matter volume. Network-related grey matter volume had moreover a very poor discrimination performance. We found, however, significant group differences with regard to grey matter pattern organization. When correlating grey matter volume in all networks across all participants, patients showed a significantly higher homogeneity across all networks and a significantly lower heterogeneity, as assessed by the coefficient of variation across all networks as well as in several single networks. There was no association with clinical characteristics. CONCLUSION The findings of the present study suggest that the pathological mechanisms of OCD reduce interindividual grey matter variability. We assume that common characteristics associated with the disorder may lead to a more uniform, disorder-specific morphometry.
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Affiliation(s)
- Kathrin Koch
- Department of Neuroradiology & TUM-Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany; Graduate School of Systemic Neurosciences GSN, Ludwig-Maximilians-Universität, Biocenter, Groβhaderner Strasse 2, 82152 Munich, Germany.
| | - Daniela Rodriguez-Manrique
- Department of Neuroradiology & TUM-Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany; Graduate School of Systemic Neurosciences GSN, Ludwig-Maximilians-Universität, Biocenter, Groβhaderner Strasse 2, 82152 Munich, Germany
| | | | - Deniz A Gürsel
- Department of Neuroradiology & TUM-Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany
| | - Götz Berberich
- Windach Institute and Hospital of Neurobehavioural Research and Therapy (WINTR), Schützenstr. 100, 86949 Windach, Germany
| | - Miriam Kunz
- Department of Medical Psychology, University of Augsburg, 86156 Augsburg, Germany
| | - Claus Zimmer
- Department of Neuroradiology & TUM-Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany
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Fujimori J, Nakashima I. Serum neurofilament light is a sensitive biomarker that reflects grey matter volume in Japanese patients with multiple sclerosis. J Neurol Sci 2021; 427:117528. [PMID: 34098375 DOI: 10.1016/j.jns.2021.117528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/13/2021] [Accepted: 05/31/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To evaluate the degree of neuroaxonal injury in Japanese multiple sclerosis (MS) patients using serum neurofilament light (sNfL) and to investigate the relationship of sNFL with the degree of brain volume. METHODS sNfL levels in 82 consecutive Japanese MS patients in remission were cross-sectionally evaluated using a single molecule array assay. Within this sample, cross-sectional volumetric brain MRI data was evaluated in 80 patients, and longitudinal data was evaluated in 63 patients. RESULTS MS patients (female/male = 61/21), including those with relapsing-remitting MS (82%), secondary progressive MS (17%), and primary progressive MS (1%), were studied. The mean age of the patients was 41.2 ± 8.7 years, and 77 of the MS patients (94%) were treated with disease-modifying therapy (DMT). Their median sNfL level was 7.985 (IQR, 5.959-10.9), and their sNfL levels were significantly correlated with their grey matter volume and their age. A standard least squares regression model revealed that approximately 57% of the variation in grey matter volume could be explained by a regression equation using three explanatory variables: sNfL concentration, age, and sex. Moreover, the sNfL level multiplied by disease duration was significantly correlated with the Expanded Disability Status Scale (EDSS) scores and whole and grey matter volumes. CONCLUSION Although neuroaxonal injury appeared to be mild in our Japanese MS patients, their sNfL levels significantly reflected grey matter volume. Moreover, when multiplied by the disease duration, sNfL can reflect disability and brain volume.
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Affiliation(s)
- Juichi Fujimori
- Division of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
| | - Ichiro Nakashima
- Division of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
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Li L, Yu H, Liu Y, Meng YJ, Li XJ, Zhang C, Liang S, Li ML, Guo W, QiangWang, Deng W, Ma X, Coid J, Li T. Lower regional grey matter in alcohol use disorders: evidence from a voxel-based meta-analysis. BMC Psychiatry 2021; 21:247. [PMID: 33975595 PMCID: PMC8111920 DOI: 10.1186/s12888-021-03244-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 04/28/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Previous research using whole-brain neuroimaging techniques has revealed structural differences of grey matter (GM) in alcohol use disorder (AUD) patients. However, some of the findings diverge from other neuroimaging studies and require further replication. The quantity of relevant research has, thus far, been limited and the association between GM and abstinence duration of AUD patients has not yet been systematically reviewed. METHODS The present research conducted a meta-analysis of voxel-based GM studies in AUD patients published before Jan 2021. The study utilised a whole brain-based d-mapping approach to explore GM changes in AUD patients, and further analysed the relationship between GM deficits, abstinence duration and individual differences. RESULTS The current research included 23 studies with a sample size of 846 AUD patients and 878 controls. The d-mapping approach identified lower GM in brain regions including the right cingulate gyrus, right insula and left middle frontal gyrus in AUD patients compared to controls. Meta-regression analyses found increasing GM atrophy in the right insula associated with the longer mean abstinence duration of the samples in the studies in our analysis. GM atrophy was also found positively correlated with the mean age of the samples in the right insula, and positively correlated with male ratio in the left middle frontal gyrus. CONCLUSIONS GM atrophy was found in the cingulate gyrus and insula in AUD patients. These findings align with published meta-analyses, suggesting they are potential deficits for AUD patients. Abstinence duration, age and gender also affect GM atrophy in AUD patients. This research provides some evidence of the underlying neuroanatomical nature of AUD.
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Affiliation(s)
- Lei Li
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Hua Yu
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yihao Liu
- grid.8391.30000 0004 1936 8024Department of Psychology, College of Life and Environmental Science, University of Exeter, Exeter, UK
| | - Ya-jing Meng
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiao-jing Li
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Chengcheng Zhang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Sugai Liang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Ming-li Li
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wanjun Guo
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - QiangWang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Deng
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaohong Ma
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Jeremy Coid
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Tao Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China. .,Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China. .,Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.
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Liu X, Dounavi ME, Ritchie K, Wells K, Ritchie CW, Su L, Muniz-Terrera G, O’Brien JT. Higher midlife CAIDE score is associated with increased brain atrophy in a cohort of cognitively healthy middle-aged individuals. J Neurol 2021; 268:1962-1971. [PMID: 33423129 PMCID: PMC8068701 DOI: 10.1007/s00415-020-10383-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/18/2020] [Accepted: 12/19/2020] [Indexed: 12/03/2022]
Abstract
BACKGROUND Structural brain changes associated with Alzheimer's disease (AD) can occur decades before the onset of symptoms. The Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) score has been suggested to be associated with accelerated brain atrophy in middle-aged subjects but the regional specificity of atrophic areas remains to be elucidated. METHODS 3T T1-weighted magnetic resonance imaging scans of 160 cognitively healthy middle-aged participants (mean age = 52) in the PREVENT-Dementia cohort, from baseline and from follow-up after 2 years, were examined. Images were preprocessed using Computational Anatomy Toolbox 12. Voxel-based morphometry was performed in FSL 6.0.1 to identify areas of grey matter (GM) volume differences both cross-sectionally and longitudinally between subjects with high and low baseline CAIDE score (CAIDE score was dichotomized at cohort-median). A GM percentage of change map was created for each subject for evaluation of atrophy over 2 years. Analyses were adjusted for age, gender, education and total intracranial volume. RESULTS Compared to subjects with CAIDE score ≤ 6 (low risk), subjects with CAIDE score > 6 (high risk) showed lower GM volume in the temporal, occipital, and fusiform cortex and lingual gyrus at baseline, and greater percentage of GM loss over 2 years in the supramarginal gyrus, angular gyrus, precuneus, lateral occipital cortex, superior parietal lobule and cingulate gyrus (corrected P < 0.05). CONCLUSION This study demonstrated accelerated GM atrophy concentrated in several AD signature cortical regions in healthy middle-aged subjects with high CAIDE scores.
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Affiliation(s)
- Xulin Liu
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Level E4 Cambridge Biomedical Campus, Cambridge, CB2 0SP UK
| | - Maria-Eleni Dounavi
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Level E4 Cambridge Biomedical Campus, Cambridge, CB2 0SP UK
| | - Karen Ritchie
- Centre for Dementia Prevention, University of Edinburgh Centre for Clinical Brain Sciences, Edinburgh, UK
- INSERM, University of Montpellier, Montpellier, France
| | - Katie Wells
- The Centre for Psychiatry, Imperial College London, London, UK
| | - Craig W. Ritchie
- Centre for Dementia Prevention, University of Edinburgh Centre for Clinical Brain Sciences, Edinburgh, UK
| | - Li Su
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Level E4 Cambridge Biomedical Campus, Cambridge, CB2 0SP UK
| | - Graciela Muniz-Terrera
- Centre for Dementia Prevention, University of Edinburgh Centre for Clinical Brain Sciences, Edinburgh, UK
| | - John T. O’Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Level E4 Cambridge Biomedical Campus, Cambridge, CB2 0SP UK
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Singh A, Arya A, Agarwal V, Shree R, Kumar U. Grey and white matter alteration in euthymic children with bipolar disorder: a combined source-based morphometry (SBM) and voxel-based morphometry (VBM) study. Brain Imaging Behav 2021. [PMID: 33846953 DOI: 10.1007/s11682-021-00473-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 03/18/2021] [Indexed: 01/01/2023]
Abstract
Bipolar disorder (BPD) is a psychiatric condition driving frequent mood swings between periodic extremes of happiness and depression in patients. In this study, a source-based morphometry (SBM) and voxel-based morphometry (VBM) analysis was utilized to measure the differences in the white matter (WM) and grey matter (GM) between euthymic children with BPD and typically developing (TD) children. We adapted both multivariate (SBM) and univariate (VBM) analysis in 20 children with BPD euthymia /remission and compared to the same number of TD age-matched children. The VBM did not reveal any increase in GM and WM voxel values in children with BPD. However, a decrease in the GM voxel values in the bilateral middle frontal and WM voxels in the left hippocampus, left caudate, left orbitofrontal and right inferior parietal cortices was identified. Conversely, SBM analysis in BPD displayed a high GM value in bilateral angular gyrus, bilateral inferior temporal, left supplementary motor area and left middle temporal region, while a low value was observed in left inferior and middle occipital, cerebellum, thalamus, left premotor area and left lingual gyrus. These findings suggested a crucial GM and WM alteration in multiple neural regions in BPD children even during sustained and substantial remission.
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Wen F, Yan J, Yu L, Wang F, Liu J, Li Y, Cui Y. Grey matter abnormalities in Tourette syndrome: an activation likelihood estimation meta-analysis. BMC Psychiatry 2021; 21:184. [PMID: 33827505 PMCID: PMC8028086 DOI: 10.1186/s12888-021-03187-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 03/29/2021] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Tourette syndrome (TS) is a neurodevelopmental disorder defined by the continual presence of primary motor and vocal tics. Grey matter abnormalities have been identified in numerous studies of TS, but conflicting results have been reported. This study was an unbiased statistical meta-analysis of published neuroimaging studies of TS structures. METHODS A voxel quantitative meta-analysis technique called activation likelihood estimation (ALE) was used. The meta-analysis included six neuroimaging studies involving 247 TS patients and 236 healthy controls. A statistical threshold of p < 0.05 was established based on the false discovery rate and a cluster extent threshold of 50 voxels. RESULTS We found that grey matter volumes were significantly increased in the bilateral thalamus, right hypothalamus, right precentral gyrus, left postcentral gyrus, left inferior parietal lobule, right lentiform nucleus, and left insula of TS patients compared to those of healthy controls. In contrast, grey matter volumes were significantly decreased in the bilateral postcentral gyrus, bilateral anterior cingulate, bilateral insula, left posterior cingulate and left postcentral gyrus of TS patients compared to those of healthy controls. CONCLUSIONS Our present meta-analysis primarily revealed significant increases in grey matter volumes in the thalamus and lentiform nucleus, and decreased grey matter volumes in the anterior cingulate gyrus, of TS patients compared to those in healthy controls. Most of these identified regions are associated with cortico-striato-thalamo-cortical circuits. Further studies with larger sample sizes are needed to confirm these changes in grey matter volumes in TS patients.
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Affiliation(s)
- Fang Wen
- grid.24696.3f0000 0004 0369 153XDepartment of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China
| | - Junjuan Yan
- grid.24696.3f0000 0004 0369 153XDepartment of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China
| | - Liping Yu
- grid.24696.3f0000 0004 0369 153XDepartment of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China
| | - Fang Wang
- grid.24696.3f0000 0004 0369 153XDepartment of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China
| | - Jingran Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Psychiatry, Beijing Children’s Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China
| | - Ying Li
- Department of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China.
| | - Yonghua Cui
- Department of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children Healthy, 56 Nanlishi Road, Beijing, China.
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Stezin A, Bhardwaj S, Hegde S, Jain S, Bharath RD, Saini J, Pal PK. Cognitive impairment and its neuroimaging correlates in spinocerebellar ataxia 2. Parkinsonism Relat Disord 2021; 85:78-83. [PMID: 33756405 DOI: 10.1016/j.parkreldis.2021.02.028] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 02/04/2021] [Accepted: 02/22/2021] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Cognitive impairment (CI) is reported but is poorly explored in spinocerebellar ataxia 2 (SCA2). This study was undertaken to evaluate and classify cognitive impairment in patients with SCA2 and to identify their grey matter (GM) correlates. METHODS We evaluated the neurocognitive profile of 35 SCA2 and 30 age-, gender- and education-matched healthy controls using tests for attention, executive functions, learning and memory, language and fluency, and visuomotor constructive ability. Patients were classified into SCA2 with and without CI based on normative data from population and healthy controls. Furthermore, patients with CI were sub-classified based on the number of impaired domains into multi-domain CI (≥3 domains; MDCI) and limited domain CI (≤2 domains; LDCI). The underlying GM changes were identified using voxel based morphometry. RESULTS The mean age at onset, duration of disease, and ataxia score was 28.7 ± 8.51 years, 66.7 ± 44.1 months, and 16.1 ± 4.9 points, respectively. CI was present in 71.4% of SCA2 subjects (MDCI: 42.7%; LDCI: 28.5%). Patients with CI had significant atrophy of the posterior cerebellum, sensorimotor cortex, and superior frontal gyrus (FWE p-value <0.05). Patients with MDCI had significant GM atrophy of the angular gyrus compared to LDCI (FWE p-value <0.05). CONCLUSION Patients with CI had significant GM involvement of the posterior cerebellum and frontal lobe, suggestive of impairment in the cerebello-fronto-cortical circuitry.
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Affiliation(s)
- Albert Stezin
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India; Clinical Neurosciences, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India
| | - Sujas Bhardwaj
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India
| | - Shantala Hegde
- Clinical Neuropsychology, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India
| | - Sanjeev Jain
- Psychiatry, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India
| | - Rose Dawn Bharath
- Neuroimaging and Interventional Radiology, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India
| | - Jitender Saini
- Neuroimaging and Interventional Radiology, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India.
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Mundorf A, Schmitz J, Hünten K, Fraenz C, Schlüter C, Genç E, Ocklenburg S, Freund N. MORC1 methylation and BDI are associated with microstructural features of the hippocampus and medial prefrontal cortex. J Affect Disord 2021; 282:91-7. [PMID: 33401128 DOI: 10.1016/j.jad.2020.12.056] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 12/14/2020] [Accepted: 12/17/2020] [Indexed: 01/16/2023]
Abstract
BACKGROUND Alterations in the hippocampus and prefrontal cortex (PFC) have frequently been reported in depressed patients. These parameters might prove to be a consistent finding in depression. In addition, peripheral DNA methylation of the MORC1 gene promoter showed stable associations with depression across independent samples. However, the question arises whether MORC1, supposedly acting as transcription factor, might also be involved in neurobiological alterations accompanying depression. This study further analyses the role of MORC1 in depression by investigating a potential correlation between peripheral MORC1 DNA methylation and neuronal structural properties previously associated with depression in humans. METHODS Beck Depression Inventory (BDI) was assessed in 52 healthy participants. DNA was extracted from buccal cells and MORC1 methylation correlated with micro- and macrostructural properties derived from magnetic resonance imaging (MRI) and neurite orientation dispersion and density imaging (NODDI) in the hippocampus and medial prefrontal cortex (mPFC). RESULTS MORC1 methylation was associated with volume reduction and neurite orientation dispersion and density markers in the hippocampus and mPFC. BDI was positively associated with neurite orientation dispersion and density markers in the hippocampus. LIMITATIONS The study was conducted in a small sample of healthy participants with subclinical depressive symptoms. Peripheral tissue was analyzed. CONCLUSION We found significant negative associations between peripheral MORC1 methylation and macro- and microstructural markers in the hippocampus and mPFC. Thus, MORC1 might be involved in neurobiological properties. Studies investigating neuronal methylation patterns of MORC1 are needed to support this hypothesis.
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Pernet CR, Belov N, Delorme A, Zammit A. Mindfulness related changes in grey matter: a systematic review and meta-analysis. Brain Imaging Behav 2021; 15:2720-2730. [PMID: 33624219 PMCID: PMC8500886 DOI: 10.1007/s11682-021-00453-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 12/17/2020] [Accepted: 01/04/2021] [Indexed: 12/01/2022]
Abstract
Knowing target regions undergoing strfuncti changes caused by behavioural interventions is paramount in evaluating the effectiveness of such practices. Here, using a systematic review approach, we identified 25 peer-reviewed magnetic resonance imaging (MRI) studies demonstrating grey matter changes related to mindfulness meditation. An activation likelihood estimation (ALE) analysis (n = 16) revealed the right anterior ventral insula as the only significant region with consistent effect across studies, whilst an additional functional connectivity analysis indicates that both left and right insulae, and the anterior cingulate gyrus with adjacent paracingulate gyri should also be considered in future studies. Statistical meta-analyses suggest medium to strong effect sizes from Cohen’s d ~ 0.8 in the right insula to ~ 1 using maxima across the whole brain. The systematic review revealed design issues with selection, information, attrition and confirmation biases, in addition to weak statistical power. In conclusion, our analyses show that mindfulness meditation practice does induce grey matter changes but also that improvements in methodology are needed to establish mindfulness as a therapeutic intervention.
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Affiliation(s)
- Cyril R Pernet
- Centre for Clinical Brain Sciences, Edinburgh Imaging, The University of Edinburgh, Edinburgh, UK.
| | - Nikolai Belov
- Department of Psychology, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Arnaud Delorme
- CerCo, CNRS, Paul Sabatier University, Toulouse, France.,SCCN, INC, University of California San Diego, La Jolla, CA, USA
| | - Alison Zammit
- Centre for Clinical Brain Sciences, Edinburgh Imaging, The University of Edinburgh, Edinburgh, UK
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Abstract
BACKGROUND Aquaporin-4 (AQP4) is in growing recognition as potential marker for cancer progression, differentiation and therapeutic intervention. No information is available about AQP4 expression in the normal canine brain. The aim of this histopathological study is to confirm the presence of AQP4 by immunohistochemistry technique in a group of non-pathological canine brains and to describe its expression and distribution across the brain. RESULTS Twelve non-pathological canine brains of various ages (ranging from 21 days to 17 years) and breeds were included in the study. Immunohistochemical expression of AQP4 was analyzed using formalin-fixed paraffin-embedded brain tissue sections. The findings were correlated between AQP4 expressing cells and astrocytes using glial fibrillary acidic protein (GFAP). AQP4 expression was more marked in the astrocyte foot processes of subpial, perivascular and periventricular surfaces in all specimens. The majority of the canine brain sections (9/12) presented with an AQP4 predilection for white matter tracts. Interestingly, the two youngest dogs (21 days and 3 months old) were characterized by diffuse AQP4 labelling in both grey and white matter tracts. This result may suggest that brain development and ageing may play a role in the AQP4 distribution throughout the canine brain. CONCLUSIONS This is the first study to describe immunohistochemical distribution of AQP4 in normal canine brains. The AQP4 expression and distribution in non-pathological canine brains was comparable to other species. Larger studies are needed to substantiate the influence of breed and ageing on AQP4 expression in the normal canine brain.
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Affiliation(s)
- Patricia Álvarez
- Neurology and Neurosurgery Service, Pride Veterinary Centre, Derby, UK
| | - Ester Blasco
- Unit of Murine and Comparative Pathology (UPMiC), Department of Animal Medicine and Surgery, Veterinary Faculty, Autonomous University of Barcelona, Barcelona, Spain
| | - Martí Pumarola
- Unit of Murine and Comparative Pathology (UPMiC), Department of Animal Medicine and Surgery, Veterinary Faculty, Autonomous University of Barcelona, Barcelona, Spain.,Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN) Networking Research, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Annette Wessmann
- Neurology and Neurosurgery Service, Pride Veterinary Centre, Derby, UK.
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Waller J, Miao T, Ikedionwu I, Lin KK. Reviewing applications of structural and functional MRI for bipolar disorder. Jpn J Radiol 2021; 39:414-23. [PMID: 33389525 DOI: 10.1007/s11604-020-01074-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 11/19/2020] [Indexed: 02/07/2023]
Abstract
Bipolar disorders (BDs) represent one of the leading causes of disability and morbidity globally. The use of functional magnetic resonance imaging (fMRI) is being increasingly studied as a tool to improve the diagnosis and treatment of BDs. While morphological biomarkers can be identified through the use of structural magnetic resonance imaging (sMRI), recent studies have demonstrated that varying degrees of both structural and functional impairments indicate differing bipolar subtypes. Within fMRI, resting-state fMRI has specifically drawn increased interest for its capability to detect different neuronal activation patterns compared to task-based fMRI. This study aims to review recently published literature regarding the use of fMRI to investigate structural-functional relationships in BD diagnosis and specifically resting-state fMRI to provide an opinion on fMRI's modern clinical application. All sources in this literature review were collected through searches on both PubMed and Google Scholar databases for terms such as 'resting-state fMRI' and 'functional neuroimaging biomarkers of bipolar disorder'. While there are promising results supporting the use of fMRI for improving differential accuracy and establishing clinically relevant biomarkers, additional evidence will be required before fMRI is considered a dependable component of the overall BD diagnostic process.
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Vai B, Cazzetta S, Scalisi R, Donati A, Bechi M, Poletti S, Sforzini L, Visintini R, Maffei C, Benedetti F. Neuropsychological deficits correlate with symptoms severity and cortical thickness in Borderline Personality Disorder. J Affect Disord 2021; 278:181-188. [PMID: 32961414 DOI: 10.1016/j.jad.2020.09.060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 06/15/2020] [Accepted: 09/11/2020] [Indexed: 01/30/2023]
Abstract
BACKGROUND Neuropsychological abnormalities have been proposed to contribute to the development and maintenance of Borderline Personality Disorder (BPD). Previous meta-analyses and reviews confirmed deficits in a broad range of cognitive domains, including attention, cognitive flexibility, memory, executive functions, planning, information processing, and visuospatial abilities, often suggested to underlie brain abnormalities. However, no study directly explored the structural neural correlates of these deficits in BPD, also accounting for the possible confounding effect of pharmacological treatments, often used as adjunctive symptom-targeted therapy in clinical setting. METHODS In this study we compared the performance of 24 BPD patients to 24 healthy controls obtained at the neuropsychological battery "Brief Assessment and Cognition in Schizophrenia", exploring the relationship between the cognitive impairments and current symptomatology, brain grey matter volumes and cortical thickness, controlling for medications load. RESULTS Data revealed deficits in verbal memory and fluency, working memory, attention and speed of information processing and psychomotor speed and coordination when medication load was not in the model. Correcting for this variable, only the impairment in psychomotor abilities remained significant. A multiple regression confirmed the effect of this neuropsychological domain on the severity of BPD symptomatology (Borderline Evaluation of Severity Over Time). In BPD, the performance at psychomotor speed and coordination was also directly associated to cortical thickness in postcentral gyrus. LIMITATIONS Relatively small sample size, especially for neuroimaging. CONCLUSIONS Our study highlighted an influence of BPD neuropsychological impairments on symptomatology, and cortical thickness, prompting the potential clinical utility of a cognitive remediation program in BPD.
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Affiliation(s)
- Benedetta Vai
- Division of Neuroscience, Psychiatry and Clinical Psychobiology, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy; Fondazione Centro San Raffaele, Milan, Italy.
| | - Silvia Cazzetta
- Division of Neuroscience, Psychiatry and Clinical Psychobiology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Rosalia Scalisi
- Division of Neuroscience, Psychiatry and Clinical Psychobiology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessia Donati
- Division of Neuroscience, Psychiatry and Clinical Psychobiology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Margherita Bechi
- Department of Clinical Neurosciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sara Poletti
- Division of Neuroscience, Psychiatry and Clinical Psychobiology, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Laura Sforzini
- Division of Neuroscience, Psychiatry and Clinical Psychobiology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Raffaele Visintini
- Division of Neuroscience, Clinical Psychology and Psychotherapy Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Clinical Psychology and Psychotherapy, San Raffaele-Turro Hospital, Milan, Italy
| | - Cesare Maffei
- Vita-Salute San Raffaele University, Milan, Italy; Division of Neuroscience, Clinical Psychology and Psychotherapy Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Clinical Psychology and Psychotherapy, San Raffaele-Turro Hospital, Milan, Italy
| | - Francesco Benedetti
- Division of Neuroscience, Psychiatry and Clinical Psychobiology, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
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