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Russo M, Dono F, Onofrj M, Sensi SL. Circulatory shock associated with left insular stroke and chronic steroid treatment. Eur J Neurol 2024; 31:e16225. [PMID: 38299386 DOI: 10.1111/ene.16225] [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: 11/20/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND Damage to the insula has been associated with various types of cardiovascular dysfunction, including arrhythmias and blood pressure imbalances. Acute neuroendocrine disturbances following insular damage have also been described. CASE PRESENTATION A 50-year-old right-handed man with a left insular ischemic lesion exhibited aphasia and right central VII nerve palsy. Five days after the stroke, the patient exhibited severe bradycardia and hypotension. He had been treated for ocular trauma with prednisone for the preceding 3 weeks. Cortisol and adrenocorticotropic hormone levels indicated secondary adrenal insufficiency. Despite adequate fluid intake, the patient's blood pressure dropped, requiring norepinephrine administration. Midodrine was also initiated, leading to clinical improvement. The therapy was gradually discontinued as vital signs normalized. By Day 24, electrocardiogram monitoring was unremarkable, hormonal levels normalized, and the neurological examination revealed only mild residual speech fluency impairment. Computed tomography scans confirmed a recovering ischemic lesion of the left insula. CONCLUSIONS This case reveals the inhibitory effect exerted by a left-sided insular stroke on the autonomic system. It also highlights the still largely unexplored neuroendocrine complications of damage to this brain region.
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Affiliation(s)
- Mirella Russo
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
- Center for Advanced Studies and Technology (CAST), "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
- Institute of Neurology, University Hospital of Chieti, Chieti, Italy
| | - Fedele Dono
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
- Center for Advanced Studies and Technology (CAST), "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
- Institute of Neurology, University Hospital of Chieti, Chieti, Italy
| | - Marco Onofrj
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
- Center for Advanced Studies and Technology (CAST), "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
- Institute of Neurology, University Hospital of Chieti, Chieti, Italy
| | - Stefano L Sensi
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
- Center for Advanced Studies and Technology (CAST), "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
- Institute of Neurology, University Hospital of Chieti, Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
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Chang M, Lei Y, Zhang J, Xu J, Wu H, Tang S, Yang H. Effect of Naoxintong Capsule on Microglia and Proteomics of Cortex After Myocardial Infarction in Rats. Mol Neurobiol 2024; 61:2904-2920. [PMID: 37948003 DOI: 10.1007/s12035-023-03724-x] [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: 05/31/2023] [Accepted: 09/16/2023] [Indexed: 11/12/2023]
Abstract
Neuroinflammation caused by microglia in the central nervous system (CNS) is observed after myocardial infarction (MI). However, the inflammatory response mechanism remains unclear. BuChang Naoxintong capsule (NXT) is a Chinese medicine for treating ischemic cardio-cerebrovascular diseases, requiring more studies to understand the pharmacodynamic mechanism. Permanent ligation of the left anterior descending coronary artery (LAD) was performed in rats. Additionally, histopathological staining in the left ventricular (LV) and immunofluorescence within the brain cortex after 1 d and 7 d of MI were performed to determine the NXT pharmacodynamic action and best administration dosage. Proteomics helped obtain the essential proteins related to neuroinflammation and MI in the heart and brain tissue after 7 d of MI. Based on TTC, HE, Masson, and immunofluorescence staining results of CD206 and IBA-1, NXT demonstrated a better pharmacodynamic action towards myocardial injury and neuroinflammation after 7 d of MI. Moreover, the human equivalent dosage of NXT (220 mg/kg) became the best administration dose. The proteome bioinformatics analysis in the LV and brain cortex was performed. Thus, the elongation of very long-chain fatty acids protein 5 (ELOVL5) and ATP-binding cassette subfamily G member 4 (ABCG4) became critical proteins related to MI and neuroinflammation. The western blotting results indicated that ABCG4 expression possessed the same trend as the proteomics results. The auto-dock results revealed that ABCG4 had a good binding ability with Ferulic acid, Paeoniflorin, and Tanshinone II A, the key ingredients of NXT. The cellular thermal shift assay results demonstrated that ABCG4 showed better thermal stability post-NXT treatment. NXT can improve myocardial injury, such as heart infarct size, pathological injury, myocardial fibrosis, and inflammatory cell infiltration. Additionally, brain neuroinflammation induced by microglia after MI affects the expression and structure of ABCG4. Thus, ABCG4 could be the key protein associated with MI and neuroinflammation.
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Affiliation(s)
- Mengli Chang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Yuxin Lei
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Jing Zhang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Jing Xu
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
| | - Hongwei Wu
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
| | - Shihuan Tang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
| | - Hongjun Yang
- Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing, 100700, 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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Viaene AN. A role for immunohistochemical stains in perinatal brain autopsies. J Neuropathol Exp Neurol 2024; 83:345-356. [PMID: 38441171 PMCID: PMC11029462 DOI: 10.1093/jnen/nlae019] [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] [Indexed: 04/20/2024] Open
Abstract
Identification of central nervous system injury is a critical part of perinatal autopsies; however, injury is not always easily identifiable due to autolysis and immaturity of the developing brain. Here, the role of immunohistochemical stains in the identification of perinatal brain injury was investigated. Blinded semiquantitative scoring of injury was performed on sections of frontal lobe from 76 cases (51 liveborn and 25 stillborn) using H&E, GFAP, Iba-1, and β-APP stains. Digital image analysis was used to quantify GFAP and Iba-1 staining. Commonly observed pathologies included diffuse white matter gliosis (DWMG) and white matter necrosis (WMN). DWMG scores were very similar on H&E and GFAP stains for liveborn subjects. For stillborn subjects, DWMG scores were significantly higher on GFAP stain than H&E. β-APP was needed for identification of WMN in 71.4% of stillborn subjects compared to 15.4% of liveborn subjects. Diffuse staining for Iba-1 within cortex and white matter was positively correlated with subject age. Staining quantification on digital image analysis was highly correlated to semiquantitative scoring. Overall, GFAP and β-APP stains were most helpful in identifying white matter injury not seen on H&E in stillborn subjects. Immunostains may therefore be warranted as an integral part of stillborn brain autopsies.
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Affiliation(s)
- Angela N Viaene
- Department of Pathology and Laboratory Medicine, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pathology and Laboratory Medicine, The University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Tisserand A, Blanc F, Mondino M, Muller C, Durand H, Demuynck C, Loureiro de Sousa P, Ravier A, Sanna L, Botzung A, Philippi N. Who am I with my Lewy bodies? The insula as a core region of the self-concept networks. Alzheimers Res Ther 2024; 16:85. [PMID: 38641653 PMCID: PMC11027417 DOI: 10.1186/s13195-024-01447-2] [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: 07/04/2023] [Accepted: 04/01/2024] [Indexed: 04/21/2024]
Abstract
BACKGROUND Dementia with Lewy bodies (DLB) is characterized by insular atrophy, which occurs at the early stage of the disease. Damage to the insula has been associated with disorders reflecting impairments of the most fundamental components of the self, such as anosognosia, which is a frequently reported symptom in patients with Lewy bodies (LB). The purpose of this study was to investigate modifications of the self-concept (SC), another component of the self, and to identify neuroanatomical correlates, in prodromal to mild DLB. METHODS Twenty patients with prodromal to mild DLB were selected to participate in this exploratory study along with 20 healthy control subjects matched in terms of age, gender, and level of education. The Twenty Statements Test (TST) was used to assess the SC. Behavioral performances were compared between LB patients and control subjects. Three-dimensional magnetic resonance images (MRI) were acquired for all participants and correlational analyses were performed using voxel-based morphometry (VBM) in whole brain and using a mask for the insula. RESULTS The behavioral results on the TST showed significantly impaired performances in LB patients in comparison with control subjects (p < .0001). Correlational analyses using VBM revealed positive correlations between the TST and grey matter volume within insular cortex, right supplementary motor area, bilateral inferior temporal gyri, right inferior frontal gyrus, and left lingual gyrus, using a threshold of p = .001 uncorrected, including total intracranial volume (TIV), age, and MMSE as nuisance covariates. Additionally, correlational analysis using a mask for the insula revealed positive correlation with grey matter volume within bilateral insular cortex, using a threshold of p = .005. CONCLUSIONS The behavioral results confirm the existence of SC impairments in LB patients from the prodromal stage of the disease, compared to matched healthy controls. As we expected, VBM analyses revealed involvement of the insula, among that of other brain regions, already known to be involved in other self-components. While this study is exploratory, our findings provide important insights regarding the involvement of the insula within the self, confirming the insula as a core region of the self-networks, including for high-order self-representations such as the SC.
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Affiliation(s)
- Alice Tisserand
- University of Strasbourg and CNRS, ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS team and IRIS platform, Strasbourg, France.
- University Hospitals of Strasbourg,CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Strasbourg, France.
| | - Frédéric Blanc
- University of Strasbourg and CNRS, ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS team and IRIS platform, Strasbourg, France
- University Hospitals of Strasbourg,CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Strasbourg, France
| | - Mary Mondino
- University of Strasbourg and CNRS, ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS team and IRIS platform, Strasbourg, France
| | - Candice Muller
- University Hospitals of Strasbourg,CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Strasbourg, France
| | - Hélène Durand
- University Hospitals of Strasbourg,CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Strasbourg, France
| | - Catherine Demuynck
- University Hospitals of Strasbourg,CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Strasbourg, France
| | - Paulo Loureiro de Sousa
- University of Strasbourg and CNRS, ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS team and IRIS platform, Strasbourg, France
| | - Alix Ravier
- University Hospitals of Strasbourg,CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Strasbourg, France
| | - Léa Sanna
- University Hospitals of Strasbourg,CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Strasbourg, France
| | - Anne Botzung
- University Hospitals of Strasbourg,CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Strasbourg, France
| | - Nathalie Philippi
- University of Strasbourg and CNRS, ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), IMIS team and IRIS platform, Strasbourg, France
- University Hospitals of Strasbourg,CM2R (Research and Resources Memory Centre), Geriatric Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Strasbourg, France
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6
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Maboudian SA, Willbrand EH, Kelly JP, Jagust WJ, Weiner KS. Defining Overlooked Structures Reveals New Associations between the Cortex and Cognition in Aging and Alzheimer's Disease. J Neurosci 2024; 44:e1714232024. [PMID: 38383497 PMCID: PMC11026365 DOI: 10.1523/jneurosci.1714-23.2024] [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: 09/10/2023] [Revised: 01/05/2024] [Accepted: 01/27/2024] [Indexed: 02/23/2024] Open
Abstract
Recent work suggests that indentations of the cerebral cortex, or sulci, may be uniquely vulnerable to atrophy in aging and Alzheimer's disease (AD) and that the posteromedial cortex (PMC) is particularly vulnerable to atrophy and pathology accumulation. However, these studies did not consider small, shallow, and variable tertiary sulci that are located in association cortices and are often associated with human-specific aspects of cognition. Here, we manually defined 4,362 PMC sulci in 432 hemispheres in 216 human participants (50.5% female) and found that these smaller putative tertiary sulci showed more age- and AD-related thinning than larger, more consistent sulci, with the strongest effects for two newly uncovered sulci. A model-based approach relating sulcal morphology to cognition identified that a subset of these sulci was most associated with memory and executive function scores in older adults. These findings lend support to the retrogenesis hypothesis linking brain development and aging and provide new neuroanatomical targets for future studies of aging and AD.
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Affiliation(s)
- Samira A Maboudian
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
- Department of Neuroscience, University of California Berkeley, Berkeley, California 94720
| | - Ethan H Willbrand
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53726
| | - Joseph P Kelly
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
- Department of Neuroscience, University of California Berkeley, Berkeley, California 94720
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Kevin S Weiner
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
- Department of Neuroscience, University of California Berkeley, Berkeley, California 94720
- Department of Psychology, University of California Berkeley, Berkeley, California 94720
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Corriveau-Lecavalier N, Barnard LR, Botha H, Graff-Radford J, Ramanan VK, Lee J, Dicks E, Rademakers R, Boeve BF, Machulda MM, Fields JA, Dickson DW, Graff-Radford N, Knopman DS, Lowe VJ, Petersen RC, Jack CR, Jones DT. Uncovering the distinct macro-scale anatomy of dysexecutive and behavioural degenerative diseases. Brain 2024; 147:1483-1496. [PMID: 37831661 PMCID: PMC10994526 DOI: 10.1093/brain/awad356] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 08/28/2023] [Accepted: 10/03/2023] [Indexed: 10/15/2023] Open
Abstract
There is a longstanding ambiguity regarding the clinical diagnosis of dementia syndromes predominantly targeting executive functions versus behaviour and personality. This is due to an incomplete understanding of the macro-scale anatomy underlying these symptomatologies, a partial overlap in clinical features and the fact that both phenotypes can emerge from the same pathology and vice versa. We collected data from a patient cohort of which 52 had dysexecutive Alzheimer's disease, 30 had behavioural variant frontotemporal dementia (bvFTD), seven met clinical criteria for bvFTD but had Alzheimer's disease pathology (behavioural Alzheimer's disease) and 28 had amnestic Alzheimer's disease. We first assessed group-wise differences in clinical and cognitive features and patterns of fluorodeoxyglucose (FDG) PET hypometabolism. We then performed a spectral decomposition of covariance between FDG-PET images to yield latent patterns of relative hypometabolism unbiased by diagnostic classification, which are referred to as 'eigenbrains'. These eigenbrains were subsequently linked to clinical and cognitive data and meta-analytic topics from a large external database of neuroimaging studies reflecting a wide range of mental functions. Finally, we performed a data-driven exploratory linear discriminant analysis to perform eigenbrain-based multiclass diagnostic predictions. Dysexecutive Alzheimer's disease and bvFTD patients were the youngest at symptom onset, followed by behavioural Alzheimer's disease, then amnestic Alzheimer's disease. Dysexecutive Alzheimer's disease patients had worse cognitive performance on nearly all cognitive domains compared with other groups, except verbal fluency which was equally impaired in dysexecutive Alzheimer's disease and bvFTD. Hypometabolism was observed in heteromodal cortices in dysexecutive Alzheimer's disease, temporo-parietal areas in amnestic Alzheimer's disease and frontotemporal areas in bvFTD and behavioural Alzheimer's disease. The unbiased spectral decomposition analysis revealed that relative hypometabolism in heteromodal cortices was associated with worse dysexecutive symptomatology and a lower likelihood of presenting with behaviour/personality problems, whereas relative hypometabolism in frontotemporal areas was associated with a higher likelihood of presenting with behaviour/personality problems but did not correlate with most cognitive measures. The linear discriminant analysis yielded an accuracy of 82.1% in predicting diagnostic category and did not misclassify any dysexecutive Alzheimer's disease patient for behavioural Alzheimer's disease and vice versa. Our results strongly suggest a double dissociation in that distinct macro-scale underpinnings underlie predominant dysexecutive versus personality/behavioural symptomatology in dementia syndromes. This has important implications for the implementation of criteria to diagnose and distinguish these diseases and supports the use of data-driven techniques to inform the classification of neurodegenerative diseases.
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Affiliation(s)
| | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Vijay K Ramanan
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Jeyeon Lee
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Ellen Dicks
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
- Center for Molecular Neurology, Antwerp University, Antwerp, Belgium
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
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8
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Wiesman AI, da Silva Castanheira J, Fon EA, Baillet S. Alterations of Cortical Structure and Neurophysiology in Parkinson's Disease Are Aligned with Neurochemical Systems. Ann Neurol 2024; 95:802-816. [PMID: 38146745 PMCID: PMC11023768 DOI: 10.1002/ana.26871] [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: 08/09/2023] [Revised: 12/23/2023] [Accepted: 12/23/2023] [Indexed: 12/27/2023]
Abstract
OBJECTIVE Parkinson's disease (PD) affects the structural integrity and neurophysiological signaling of the cortex. These alterations are related to the motor and cognitive symptoms of the disease. How these changes are related to the neurochemical systems of the cortex is unknown. METHODS We used T1-weighted magnetic resonance imaging (MRI) and magnetoencephalography (MEG) to measure cortical thickness and task-free neurophysiological activity in patients with idiopathic PD (nMEG = 79, nMRI = 65) and matched healthy controls (nMEG = 65, nMRI = 37). Using linear mixed-effects models, we examined the topographical alignment of cortical structural and neurophysiological alterations in PD with cortical atlases of 19 neurotransmitter receptor and transporter densities. RESULTS We found that neurophysiological alterations in PD occur primarily in brain regions rich in acetylcholinergic, serotonergic, and glutamatergic systems, with protective implications for cognitive and psychiatric symptoms. In contrast, cortical thinning occurs preferentially in regions rich in noradrenergic systems, and the strength of this alignment relates to motor deficits. INTERPRETATION This study shows that the spatial organization of neurophysiological and structural alterations in PD is relevant for nonmotor and motor impairments. The data also advance the identification of the neurochemical systems implicated. The approach uses novel nested atlas modeling methodology that is transferrable to research in other neurological and neuropsychiatric diseases and syndromes. ANN NEUROL 2024;95:802-816.
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Affiliation(s)
- Alex I. Wiesman
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | | | - Edward A. Fon
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Sylvain Baillet
- Montreal Neurological Institute, McGill University, Montreal, Canada
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9
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Fang W, Yin B, Fang Z, Tian M, Ke L, Ma X, Di Q. Heat stroke-induced cerebral cortex nerve injury by mitochondrial dysfunction: A comprehensive multi-omics profiling analysis. Sci Total Environ 2024; 919:170869. [PMID: 38342446 DOI: 10.1016/j.scitotenv.2024.170869] [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: 10/26/2023] [Revised: 01/20/2024] [Accepted: 02/07/2024] [Indexed: 02/13/2024]
Abstract
In recent years, global warming has led to frequent instances of extremely high temperatures during summer, arousing significant concern about the adverse effects of high temperature. Among these, heat stroke is the most serious, which has detrimental effects on the all organs of human body, especially on brain. However, the comprehensive pathogenesis leading to brain damage remains unclear. In this study, we constructed a mouse model of heat stroke and conducted multi-omics profiling to identify relevant pathogenesis induced by heat stroke. The mice were placed in a constant temperature chamber at 42 °C with a humidity of 50 %, and the criteria for success in modeling were that the rectal temperature reached 42 °C and that the mice were trembling. Then the mice were immediately taken out for further experiments. Firstly, we conducted cFos protein localization and identified the cerebral cortex, especially the anterior cingulate cortex as the region exhibiting the most pronounced damage. Secondly, we performed metabolomics, transcriptomics, and proteomics analysis on cerebral cortex. This multi-omics investigation unveiled noteworthy alterations in proteins and metabolites within pathways associated with neurotransmitter systems, heatstroke-induced mitochondrial dysfunction, encompassing histidine and pentose phosphate metabolic pathways, as well as oxidative stress. In addition, the cerebral cortex exhibited pronounced Reactive Oxygen Species (ROS) production, alongside significant downregulation of the mitochondrial outer membrane protein Tomm40 and mitochondrial permeability transition pore, implicating cerebral cortex mitochondrial dysfunction as the primary instigator of neural impairment. This study marks a significant milestone as the first to employ multi-omics analysis in exploring the molecular mechanisms underlying heat stroke-induced damage in cerebral cortex neurons. It comprehensively identifies all potentially impacted pathways by heat stroke, laying a solid foundation for ensuing research endeavors. Consequently, this study introduces a fresh angle to clinical approaches in heatstroke prevention and treatment, as well as establishes an innovative groundwork for shaping future-forward environmental policies.
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Affiliation(s)
- Wen Fang
- Division of Sports Science& Physical Education, Tsinghua University, Beijing, China; Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, UK; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China
| | - Bo Yin
- School of Medicine, Tsinghua University, Beijing, China
| | - Zijian Fang
- Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, UK
| | - Mengyi Tian
- School of Medicine, Tsinghua University, Beijing, China; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China
| | - Limei Ke
- School of Medicine, Tsinghua University, Beijing, China
| | - Xindong Ma
- Division of Sports Science& Physical Education, Tsinghua University, Beijing, China; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute for Healthy China, Tsinghua University, Beijing, China.
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10
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Selcuk OT, Aydenizoz D, Genc F, Ozkan MB, Turkoglu Selcuk N, Cekic B, Cetinkaya EA, Taga Senirli R, Eyigor H. Are there any differences at gray matter sites between severe obstructive sleep apnea patients and healthy controls? Sleep Med 2024; 116:27-31. [PMID: 38412571 DOI: 10.1016/j.sleep.2024.02.021] [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: 11/25/2023] [Revised: 02/05/2024] [Accepted: 02/11/2024] [Indexed: 02/29/2024]
Abstract
OBJECTIVES Obstructive sleep apnea (OSA) is a disease that may cause many medical conditions. Neurocognitive disorders may be triggered by OSA. In recent studies, selectively decreased gray matter tissue was observed in patients with OSA. We aimed to determine if there was a substantial difference in patients with extreme OSA by comparing the microstructural changes in different gray matter sub-areas with healthy controls using diffusion-weighted imaging methods. METHODS We studied 15 diagnosed severe OSA subjects before any treatment and 32 healthy control subjects. High resolution Magnetic Resonance Imaging (MRI) T1 and T2-weighted scans were visually examined to assess any major brain lesions. RESULTS There were no statistically significant differences of age and gender between the groups.The left and right globus pallidus, putamen and thalamus values did not differ significantly between OSA and control subjects. Right putamen values was negatively correlated with Apnea Hypopnea Index (AHI), supine AHI and non-REM AHI in OSA subjects, but no correlations appeared with left putamen values. The other gray matter parameters did not show any correlations with PSG parameters. AHI, Supine AHI, Non-Supine AHI, REM and NON-REM AHI values was not show any correlation with Right and Left Putamen volume sizes. CONCLUSIONS We made a morphological comparison of various gray matter areas of OSA patients and healthy volunteers in our study. We observed a significant decrease in right putamen gray matter volumes in patients with higher AHI values. Decreased cognitive functions are found in patients with OSA. In order to demonstrate this cognitive loss in patients with morphologically there is a need for further prospective studies with larger sample sizes.
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Affiliation(s)
- O T Selcuk
- University of Health Sciences, Antalya Training and Research Hospital, Otorhinolaryngology and Head and Neck Surgery Clinic, Turkey.
| | - D Aydenizoz
- University of Health Sciences, Antalya Training and Research Hospital, Otorhinolaryngology and Head and Neck Surgery Clinic, Turkey.
| | - F Genc
- University of Health Sciences, Antalya Training and Research Hospital, Neurology Clinic, Turkey.
| | - M B Ozkan
- University of Health Sciences, Antalya Training and Research Hospital, Radiology Clinic, Turkey.
| | - N Turkoglu Selcuk
- University of Health Sciences, Antalya Training and Research Hospital, Pulmonology Clinic, Turkey.
| | - B Cekic
- University of Health Sciences, Antalya Training and Research Hospital, Radiology Clinic, Turkey.
| | - E A Cetinkaya
- University of Health Sciences, Antalya Training and Research Hospital, Otorhinolaryngology and Head and Neck Surgery Clinic, Turkey.
| | - R Taga Senirli
- University of Health Sciences, Antalya Training and Research Hospital, Otorhinolaryngology and Head and Neck Surgery Clinic, Turkey.
| | - H Eyigor
- University of Health Sciences, Antalya Training and Research Hospital, Otorhinolaryngology and Head and Neck Surgery Clinic, Turkey.
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11
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Kasper BS, Archer J, Bernhardt BC, Caciagli L, Cendes F, Chinvarun Y, Concha L, Federico P, Gaillard W, Kobayashi E, Ogbole G, Vaudano AE, Wang I, Wang S, Winston GP, Rampp S. ILAE neuroimaging task force highlight: Subcortical laminar heterotopia. Epileptic Disord 2024; 26:225-232. [PMID: 38353525 DOI: 10.1002/epd2.20206] [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: 12/04/2023] [Revised: 02/01/2024] [Accepted: 02/01/2024] [Indexed: 04/13/2024]
Abstract
The ILAE Neuroimaging Task Force publishes educational case reports that highlight basic aspects of neuroimaging in epilepsy consistent with the ILAE's educational mission. Subcortical laminar heterotopia, also known as subcortical band heterotopia (SBH) or "double cortex," is an intriguing and rare congenital malformation of cortical development. SBH lesions are part of a continuum best designated as agyria-pachygyria-band-spectrum. The malformation is associated with epilepsy that is often refractory, as well as variable degrees of developmental delay. Moreover, in an increasing proportion of cases, a distinct molecular-genetic background can be found. Diagnosing SBH can be a major challenge for many reasons, including more subtle lesions, and "non-classic" or unusual MRI-appearances. By presenting an illustrative case, we address the challenges and needs of diagnosing and treating SBH patients in epilepsy, especially the value of high-resolution imaging and specialized MRI-protocols.
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Affiliation(s)
- Burkhard S Kasper
- Department of Neurology, Epilepsy Center, University Hospital Erlangen, Erlangen, Germany
| | - John Archer
- Department Medicine, Austin Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Boris C Bernhardt
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | | | - Fernando Cendes
- Department of Neurology, University of Campinas-UNICAMP, São Paulo, Brazil
| | - Yotin Chinvarun
- Department of Neurology, Phramongkutklao Hospital, Bangkok, Thailand
| | - Luis Concha
- Institute of Neurobiology, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Paolo Federico
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - William Gaillard
- Center for Neuroscience Research, Children's National Hospital, George Washington University, Washington, District of Columbia, USA
| | - Eliane Kobayashi
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Godwin Ogbole
- Department of Radiology, University of Ibadan, Nigeria
| | | | - Irene Wang
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Shuang Wang
- Department of Neurology and Epilepsy Center, Zhejiang University, Hangzhou, China
| | - Gavin P Winston
- Department of Medicine, Division of Neurology, Queen's University, Kingston, Ontario, Canada
| | - Stefan Rampp
- Department of Neurosurgery and Department of Neuroradiology, University Hospital Erlangen, Erlangen, Germany
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12
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Chen Y, Chen Y, Zheng R, Xue K, Li S, Pang J, Li H, Zhang Y, Cheng J, Han S. Identifying two distinct neuroanatomical subtypes of first-episode depression using heterogeneity through discriminative analysis. J Affect Disord 2024; 349:479-485. [PMID: 38218252 DOI: 10.1016/j.jad.2024.01.091] [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: 10/16/2023] [Revised: 12/06/2023] [Accepted: 01/07/2024] [Indexed: 01/15/2024]
Abstract
BACKGROUND Neurobiological heterogeneity in depression remains largely unknown, leading to inconsistent neuroimaging findings. METHODS Here, we adopted a novel proposed machine learning method ground on gray matter volumes (GMVs) to investigate neuroanatomical subtypes of first-episode treatment-naïve depression. GMVs were obtained from high-resolution T1-weighted images of 195 patients with first-episode, treatment-naïve depression and 78 matched healthy controls (HCs). Then we explored distinct subtypes of depression by employing heterogeneity through discriminative analysis (HYDRA) with regional GMVs as features. RESULTS Two prominently divergent subtypes of first-episode depression were identified, exhibiting opposite structural alterations compared with HCs but no different demographic features. Subtype 1 presented widespread increased GMVs mainly located in frontal, parietal, temporal cortex and partially located in limbic system. Subtype 2 presented widespread decreased GMVs mainly located in thalamus, cerebellum, limbic system and partially located in frontal, parietal, temporal cortex. Subtype 2 had smaller TIV and longer illness duration than Subtype 1. And TIV in Subtype 1 was positively correlated with age of onset while not in Subtype 2, probably implying the different potential neuropathological mechanisms. LIMITATIONS Despite results obtained in this study were validated by employing another brain atlas, the conclusions were acquired from a single dataset. CONCLUSIONS This study revealed two distinguishing neuroanatomical subtypes of first-episode depression, which provides new insights into underlying biological mechanisms of the heterogeneity in depression and might be helpful for accurate clinical diagnosis and future treatment.
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Affiliation(s)
- Yuan Chen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China; Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Brain Function Development and Application of Henan Province, Zhengzhou, Henan 450000, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, Henan 450000, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, Henan 450000, China
| | - Yi Chen
- Clinical Research Service Center, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan 450000, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China; Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Brain Function Development and Application of Henan Province, Zhengzhou, Henan 450000, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, Henan 450000, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, Henan 450000, China
| | - Kangkang Xue
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China; Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Brain Function Development and Application of Henan Province, Zhengzhou, Henan 450000, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, Henan 450000, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, Henan 450000, China
| | - Shuying Li
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China
| | - Jianyue Pang
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China
| | - Hengfen Li
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China; Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Brain Function Development and Application of Henan Province, Zhengzhou, Henan 450000, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, Henan 450000, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, Henan 450000, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China; Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Brain Function Development and Application of Henan Province, Zhengzhou, Henan 450000, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, Henan 450000, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, Henan 450000, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China; Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan 450000, China; Engineering Research Center of Brain Function Development and Application of Henan Province, Zhengzhou, Henan 450000, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, Henan 450000, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, Zhengzhou, Henan 450000, China.
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13
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Aznarez-Sanado M, Romero-Garcia R, Li C, Morris RC, Price SJ, Manly T, Santarius T, Erez Y, Hart MG, Suckling J. Brain tumour microstructure is associated with post-surgical cognition. Sci Rep 2024; 14:5646. [PMID: 38454017 PMCID: PMC10920778 DOI: 10.1038/s41598-024-55130-5] [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: 06/14/2023] [Accepted: 02/20/2024] [Indexed: 03/09/2024] Open
Abstract
Brain tumour microstructure is potentially predictive of changes following treatment to cognitive functions subserved by the functional networks in which they are embedded. To test this hypothesis, intra-tumoural microstructure was quantified from diffusion-weighted MRI to identify which tumour subregions (if any) had a greater impact on participants' cognitive recovery after surgical resection. Additionally, we studied the role of tumour microstructure in the functional interaction between the tumour and the rest of the brain. Sixteen patients (22-56 years, 7 females) with brain tumours located in or near speech-eloquent areas of the brain were included in the analyses. Two different approaches were adopted for tumour segmentation from a multishell diffusion MRI acquisition: the first used a two-dimensional four group partition of feature space, whilst the second used data-driven clustering with Gaussian mixture modelling. For each approach, we assessed the capability of tumour microstructure to predict participants' cognitive outcomes after surgery and the strength of association between the BOLD signal of individual tumour subregions and the global BOLD signal. With both methodologies, the volumes of partially overlapped subregions within the tumour significantly predicted cognitive decline in verbal skills after surgery. We also found that these particular subregions were among those that showed greater functional interaction with the unaffected cortex. Our results indicate that tumour microstructure measured by MRI multishell diffusion is associated with cognitive recovery after surgery.
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Affiliation(s)
- Maite Aznarez-Sanado
- School of Education and Psychology, University of Navarra, 31009, Pamplona, Spain
| | - Rafael Romero-Garcia
- Department of Medical Physiology and Biophysics, Instituto de Biomedicina de Sevilla (IBiS), HUVR/CSIC/Universidad de Sevilla/CIBERSAM, ISCIII, 41013, Sevilla, Spain.
- Department of Psychiatry, University of Cambridge, Herchel Smith Bldg, Robinson Way, Cambridge, CB2 0SZ, UK.
| | - Chao Li
- Cambridge Brain Tumour Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
- Department of Applied Mathematics and Theoretical Physics, The Centre for Mathematical Imaging in Healthcare, Cambridge, CB3 0WA, UK
- School of Medicine & School of Science and Engineering, University of Dundee, Dundee, DD1 4HN, UK
| | - Rob C Morris
- Academic Neurosurgery Division, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Stephen J Price
- Cambridge Brain Tumour Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Thomas Manly
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK
| | - Thomas Santarius
- Academic Neurosurgery Division, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Yaara Erez
- Faculty of Engineering, Bar-Ilan University, 5290002, Ramat Gan, Israel
- The Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
| | - Michael G Hart
- St George's, University of London and St George's University Hospitals NHS Foundation Trust, Institute of Molecular and Clinical Sciences, Neurosciences Research Centre, Cranmer Terrace, London, SW17 0RE, UK
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Herchel Smith Bldg, Robinson Way, Cambridge, CB2 0SZ, UK
- Cambridge and Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK
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14
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Sone D, Young A, Shinagawa S, Tsugawa S, Iwata Y, Tarumi R, Ogyu K, Honda S, Ochi R, Matsushita K, Ueno F, Hondo N, Koreki A, Torres-Carmona E, Mar W, Chan N, Koizumi T, Kato H, Kusudo K, de Luca V, Gerretsen P, Remington G, Onaya M, Noda Y, Uchida H, Mimura M, Shigeta M, Graff-Guerrero A, Nakajima S. Disease Progression Patterns of Brain Morphology in Schizophrenia: More Progressed Stages in Treatment Resistance. Schizophr Bull 2024; 50:393-402. [PMID: 38007605 PMCID: PMC10919766 DOI: 10.1093/schbul/sbad164] [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] [Indexed: 11/27/2023]
Abstract
BACKGROUND AND HYPOTHESIS Given the heterogeneity and possible disease progression in schizophrenia, identifying the neurobiological subtypes and progression patterns in each patient may lead to novel biomarkers. Here, we adopted data-driven machine-learning techniques to identify the progression patterns of brain morphological changes in schizophrenia and investigate the association with treatment resistance. STUDY DESIGN In this cross-sectional multicenter study, we included 177 patients with schizophrenia, characterized by treatment response or resistance, with 3D T1-weighted magnetic resonance imaging. Cortical thickness and subcortical volumes calculated by FreeSurfer were converted into z scores using 73 healthy controls data. The Subtype and Stage Inference (SuStaIn) algorithm was used for unsupervised machine-learning analysis. STUDY RESULTS SuStaIn identified 3 different subtypes: (1) subcortical volume reduction (SC) type (73 patients), in which volume reduction of subcortical structures occurs first and moderate cortical thinning follows, (2) globus pallidus hypertrophy and cortical thinning (GP-CX) type (42 patients), in which globus pallidus hypertrophy initially occurs followed by progressive cortical thinning, and (3) cortical thinning (pure CX) type (39 patients), in which thinning of the insular and lateral temporal lobe cortices primarily happens. The remaining 23 patients were assigned to baseline stage of progression (no change). SuStaIn also found 84 stages of progression, and treatment-resistant schizophrenia showed significantly more progressed stages than treatment-responsive cases (P = .001). The GP-CX type presented earlier stages than the pure CX type (P = .009). CONCLUSIONS The brain morphological progressions in schizophrenia can be classified into 3 subtypes, and treatment resistance was associated with more progressed stages, which may suggest a novel biomarker.
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Affiliation(s)
- Daichi Sone
- Department of Psychiatry, Jikei University School of Medicine, Tokyo, Japan
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, University College London, London, UK
| | - Alexandra Young
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | | | - Sakiko Tsugawa
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Yusuke Iwata
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Ryosuke Tarumi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kamiyu Ogyu
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Shiori Honda
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Ryo Ochi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Karin Matsushita
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Fumihiko Ueno
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Nobuaki Hondo
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Akihiro Koreki
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | | | - Wanna Mar
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Nathan Chan
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Teruki Koizumi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Hideo Kato
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Keisuke Kusudo
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Vincenzo de Luca
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Philip Gerretsen
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Gary Remington
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Mitsumoto Onaya
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Yoshihiro Noda
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Hiroyuki Uchida
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Shigeta
- Department of Psychiatry, Jikei University School of Medicine, Tokyo, Japan
| | | | - Shinichiro Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
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15
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Schollaert J, Van der Planken D, Mampaey S, Breen M, Foo FY, Jain R, Van Goethem JWM. Multinodular and Vacuolating Neuronal Tumor-like Lesion of the Spinal Cord: Two Case Reports. AJNR Am J Neuroradiol 2024; 45:358-360. [PMID: 38331962 DOI: 10.3174/ajnr.a8133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/05/2023] [Indexed: 02/10/2024]
Abstract
We describe 2 cases of a spinal cord lesion with imaging features closely resembling those described in supratentorial multinodular and vacuolating neuronal tumor (MVNT) or infratentorial multinodular and vacuolating posterior fossa lesions of unknown significance. Multiple well-delineated nonenhancing T2-hyperintense intramedullary cystic ovoid nodules were visualized within the white matter of the spinal cord, including some immediately abutting the gray matter. No alterations in signal intensity or morphology were detected in a follow-up. Moreover, no relevant clinical symptoms attributable to the lesions were present. We describe these lesions as presumed MVNT, and we therefore use the term MVNT-like spinal cord lesions.
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Affiliation(s)
- Joris Schollaert
- From the Department of Radiology (J.S., S.M., J.W.M.V.G.), VITAZ General hospital, Sint-Niklaas, Belgium
| | - David Van der Planken
- Department of Neurosurgery (D.V.d.P.), VITAZ General Hospital, Sint-Niklaas, Belgium
| | - Sam Mampaey
- From the Department of Radiology (J.S., S.M., J.W.M.V.G.), VITAZ General hospital, Sint-Niklaas, Belgium
| | - Matthew Breen
- Department of Radiology (M.B., R.J.), NY University Grossman School of Medicine, New York, New York
| | - Farng-Yang Foo
- Department of Neurology (F.-Y.F.), New York University Grossman School of Medicine, New York, New York
| | - Rajan Jain
- Department of Radiology (M.B., R.J.), NY University Grossman School of Medicine, New York, New York
- Department of Neurosurgery (R.J.), New York University Grossman School of Medicine, New York, New York
| | - Johan W M Van Goethem
- From the Department of Radiology (J.S., S.M., J.W.M.V.G.), VITAZ General hospital, Sint-Niklaas, Belgium
- Department of Radiology (J.W.M.V.G.), University Hospital of Antwerp (UZA), Antwerp, Belgium
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16
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Kim EJ, Lee M, Yum MS. Specific inhibitor of Wnt/beta-catenin pathway can alter behavioral responses in young rats with malformed cortices. Behav Brain Res 2024; 460:114801. [PMID: 38070690 DOI: 10.1016/j.bbr.2023.114801] [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: 08/03/2023] [Revised: 11/24/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023]
Abstract
The Wnt/beta-catenin pathway plays a crucial role in regulating cellular processes and has been implicated in neural activity-dependent learning as well as anxiety. However, the role of this pathway in young children with abnormal cortical development is unknown. Cortical malformations at early development, behavioral abnormalities, and a susceptibility to seizures have been reported in rats prenatally exposed to methylazoxymethanol. In this study, we aimed to investigate whether we could improve the behavioral deficits in young rats with malformed cerebral cortices by modulation of the Wnt/beta-catenin pathway. We found a small molecule Wnt/beta-catenin inhibitor (CWP) that increased exploratory behavior in the open field test (P9, CWP 100 ug treatment, peripheral exploration, P = 0.011) and social behavior test (P12, CWP 250 ug treatment, distance traveled in center, P = 0.033) and decreased anxiety in fear conditioning. However, it did not reduce the susceptibility to seizures. After high dose (250 ug) CWP treatment at P12, phosphocreatine and glutathione (GSH) were decreased in the cortex at P15 (P = 0.021). These findings suggest that the role of Wnt/beta-catenin signaling in exploratory behavior and anxiety during early development warrants further investigation.
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Affiliation(s)
- Eun-Jin Kim
- Department of Pediatrics, University of Ulsan College of Medicine, Seoul 05505, South Korea; Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, South Korea
| | - Minyoung Lee
- Department of Pediatrics, University of Ulsan College of Medicine, Seoul 05505, South Korea; Asan Institute for Life Sciences, Asan Medical Center, Seoul 05505, South Korea
| | - Mi-Sun Yum
- Department of Pediatrics, University of Ulsan College of Medicine, Seoul 05505, South Korea; Department of Pediatrics, Asan Medical Center Children's Hospital, 88 Olympic-ro, Songpa-ku, Seoul 05505, South Korea.
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17
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Collantoni E, Alberti F, Dahmen B, von Polier G, Konrad K, Herpertz-Dahlmann B, Favaro A, Seitz J. Intra-individual cortical networks in Anorexia Nervosa: Evidence from a longitudinal dataset. Eur Eat Disord Rev 2024; 32:298-309. [PMID: 37876109 DOI: 10.1002/erv.3043] [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: 03/20/2023] [Revised: 10/14/2023] [Accepted: 10/16/2023] [Indexed: 10/26/2023]
Abstract
OBJECTIVE This work investigates cortical thickness (CT) and gyrification patterns in Anorexia Nervosa (AN) before and after short-term weight restoration using graph theory tools. METHODS 38 female adolescents with AN underwent structural magnetic resonance imaging scans at baseline and after - on average - 3.5 months following short-term weight restoration while 53 age-matched healthy controls (HCs) were scanned once. Graph measures were compared between groups and longitudinally within the AN group. Associations with clinical measures such as age of onset, duration of illness, BMI standard deviation score (BMI-SDS), and longitudinal weight changes were tested via stepwise regression. RESULTS Cortical thickness graphs of patients with acute AN displayed lower modularity and small-world index (SWI) than HCs. Modularity recovered after weight gain. Reduced global efficiency and SWI were observed in patients at baseline compared to HCs based on gyrification networks. Significant associations between local clustering of CT at admission and BMI-SDS, and clustering/global efficiency of gyrification and duration of illness emerged. CONCLUSIONS Our results indicate a shift towards less organised CT networks in patients with acute AN. After weight recovery, the disarrangement seems to be partially reduced. However, longer-term follow-ups are needed to determine whether cortical organizational patterns fully return to normal.
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Affiliation(s)
- Enrico Collantoni
- Department of Neurosciences, University of Padua, Padova, Italy
- Padua Neuroscience Center, University of Padua, Padova, Italy
| | | | - Brigitte Dahmen
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
| | - Georg von Polier
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
- Child and Adolescent Psychiatry, University Hospital, Frankfurt, Germany
| | - Kerstin Konrad
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
- Section Neuropsychology, Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
| | | | - Angela Favaro
- Department of Neurosciences, University of Padua, Padova, Italy
- Padua Neuroscience Center, University of Padua, Padova, Italy
| | - Jochen Seitz
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
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18
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Jellinger KA. The enigma of depression in corticobasal degeneration, a frequent but poorly understood co-morbidity. J Neural Transm (Vienna) 2024; 131:195-202. [PMID: 38216704 DOI: 10.1007/s00702-023-02731-5] [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: 11/03/2023] [Accepted: 12/15/2023] [Indexed: 01/14/2024]
Abstract
Depression is one of the most frequent neuropsychiatric symptoms in corticobasal degeneration (CBD), a rare, sporadic, and late-onset progressive neurodegenerative disorder of unknown etiology. It is clinically characterized by a levodopa-poorly responsible akinetic-rigid syndrome, apraxia, limb dystonia, cognitive, mood, behavioral, and language disorders. This 4-repeat (4R) tauopathy is morphologically featured by asymmetric frontoparietal atrophy, neuronal loss, and gliosis in cortex and subcortex including substantia nigra, ballooned/achromatic neurons with filamentous 4R tau aggregates in cortex and striatum, widespread thread-like structures, pathognomonic "astroglial plaques", "tufted astrocytes", and numerous "coiled bodies" (in astrocytes and oligodendroglia) in cerebral white matter. CBD is non-specific, as pathologically proven cases include several clinical phenotypes. Pubmed and Google Scholar were systematically analyzed until October 2023, with focus on the prevalence, clinical manifestation, neuroimaging data, and treatment options of depression in CBD. Its prevalence is about 30-40% which is more frequent than in most other atypical parkinsonian syndromes. Depression usually does not correlate with motor and other clinical parameters, suggesting different pathophysiological mechanisms. Asymmetric atrophy and hypometabolism of frontoparietal cortical areas are associated with disruption of fronto-subcortical circuits, nigrostriatal dopaminergic, and cholinergic deficiency. Since no specific neuroimaging, neuropathological, or biomarker studies of depression in CBD are available, its pathobiological mechanisms and pathogenesis are poorly understood. Antidepressive therapy may be useful, but is often poorly tolerated. Depression in CBD, like in other parkinsonian syndromes, may be related to multi-regional patterns of cerebral disturbances and complex pathogenic mechanisms that deserve further elucidation as a basis for early diagnosis and adequate treatment to improve the quality of life in this fatal disease.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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19
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Gingele S, Möllenkamp TM, Henkel F, Schröder L, Hümmert MW, Skripuletz T, Stangel M, Gudi V. Automated analysis of gray matter damage in aged mice reveals impaired remyelination in the cuprizone model. Brain Pathol 2024; 34:e13218. [PMID: 37927164 PMCID: PMC10901622 DOI: 10.1111/bpa.13218] [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: 10/14/2023] [Indexed: 11/07/2023] Open
Abstract
Multiple sclerosis is a chronic autoimmune disease of the central nervous system characterized by myelin loss, axonal damage, and glial scar formation. Still, the underlying processes remain unclear, as numerous pathways and factors have been found to be involved in the development and progression of the disease. Therefore, it is of great importance to find suitable animal models as well as reliable methods for their precise and reproducible analysis. Here, we describe the impact of demyelination on clinically relevant gray matter regions of the hippocampus and cerebral cortex, using the previously established cuprizone model for aged mice. We could show that bioinformatic image analysis methods are not only suitable for quantification of cell populations, but also for the assessment of de- and remyelination processes, as numerous objective parameters can be considered for reproducible measurements. After cuprizone-induced demyelination, subsequent remyelination proceeded slowly and remained incomplete in all gray matter areas studied. There were regional differences in the number of mature oligodendrocytes during remyelination suggesting region-specific differences in the factors accounting for remyelination failure, as, even in the presence of oligodendrocytes, remyelination in the cortex was found to be impaired. Upon cuprizone administration, synaptic density and dendritic volume in the gray matter of aged mice decreased. The intensity of synaptophysin staining gradually restored during the subsequent remyelination phase, however the expression of MAP2 did not fully recover. Microgliosis persisted in the gray matter of aged animals throughout the remyelination period, whereas extensive astrogliosis was of short duration as compared to white matter structures. In conclusion, we demonstrate that the application of the cuprizone model in aged mice mimics the impaired regeneration ability seen in human pathogenesis more accurately than commonly used protocols with young mice and therefore provides an urgently needed animal model for the investigation of remyelination failure and remyelination-enhancing therapies.
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Affiliation(s)
- Stefan Gingele
- Department of NeurologyHannover Medical SchoolHannoverGermany
| | | | - Florian Henkel
- Department of NeurologyHannover Medical SchoolHannoverGermany
| | | | | | | | - Martin Stangel
- Department of NeurologyHannover Medical SchoolHannoverGermany
- Department of Translational Medicine NeuroscienceNovartis Institute for BioMedical ResearchBaselSwitzerland
| | - Viktoria Gudi
- Department of NeurologyHannover Medical SchoolHannoverGermany
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20
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Murdock MH, Yang CY, Sun N, Pao PC, Blanco-Duque C, Kahn MC, Kim T, Lavoie NS, Victor MB, Islam MR, Galiana F, Leary N, Wang S, Bubnys A, Ma E, Akay LA, Sneve M, Qian Y, Lai C, McCarthy MM, Kopell N, Kellis M, Piatkevich KD, Boyden ES, Tsai LH. Multisensory gamma stimulation promotes glymphatic clearance of amyloid. Nature 2024; 627:149-156. [PMID: 38418876 PMCID: PMC10917684 DOI: 10.1038/s41586-024-07132-6] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 01/25/2024] [Indexed: 03/02/2024]
Abstract
The glymphatic movement of fluid through the brain removes metabolic waste1-4. Noninvasive 40 Hz stimulation promotes 40 Hz neural activity in multiple brain regions and attenuates pathology in mouse models of Alzheimer's disease5-8. Here we show that multisensory gamma stimulation promotes the influx of cerebrospinal fluid and the efflux of interstitial fluid in the cortex of the 5XFAD mouse model of Alzheimer's disease. Influx of cerebrospinal fluid was associated with increased aquaporin-4 polarization along astrocytic endfeet and dilated meningeal lymphatic vessels. Inhibiting glymphatic clearance abolished the removal of amyloid by multisensory 40 Hz stimulation. Using chemogenetic manipulation and a genetically encoded sensor for neuropeptide signalling, we found that vasoactive intestinal peptide interneurons facilitate glymphatic clearance by regulating arterial pulsatility. Our findings establish novel mechanisms that recruit the glymphatic system to remove brain amyloid.
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Affiliation(s)
- Mitchell H Murdock
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Cheng-Yi Yang
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Na Sun
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ping-Chieh Pao
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Cristina Blanco-Duque
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Martin C Kahn
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - TaeHyun Kim
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Nicolas S Lavoie
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Matheus B Victor
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Md Rezaul Islam
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Fabiola Galiana
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Noelle Leary
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Sidney Wang
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Adele Bubnys
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Emily Ma
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Leyla A Akay
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Madison Sneve
- Departments of Biological Engineering and Brain and Cognitive Sciences, McGovern Institute, Cambridge, MA, USA
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yong Qian
- Departments of Biological Engineering and Brain and Cognitive Sciences, McGovern Institute, Cambridge, MA, USA
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Cuixin Lai
- School of Life Sciences, Westlake University, Westlake Laboratory of Life Sciences and Biomedicine, and Westlake Institute for Advanced Study, Hangzhou, China
| | - Michelle M McCarthy
- Department of Mathematics and Statistics, Boston University, Boston, MA, USA
| | - Nancy Kopell
- Department of Mathematics and Statistics, Boston University, Boston, MA, USA
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kiryl D Piatkevich
- Departments of Biological Engineering and Brain and Cognitive Sciences, McGovern Institute, Cambridge, MA, USA
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- School of Life Sciences, Westlake University, Westlake Laboratory of Life Sciences and Biomedicine, and Westlake Institute for Advanced Study, Hangzhou, China
| | - Edward S Boyden
- Departments of Biological Engineering and Brain and Cognitive Sciences, McGovern Institute, Cambridge, MA, USA
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Li-Huei Tsai
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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21
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Srikanth UK, Marinaik CB, Rao S, Gomes AR, Rathnamma D, Isloor S, T. Lakshmikanth B, K. Siddaramegowda C, Rizwan A, Byregowda SM, Venkatesha MD, Munivenkatarayappa A, Hegde R. Studies on the sequential pathology of Kyasanur Forest Disease (KFD) in Mouse brain: KFD virus induces apoptosis of neurons in cerebrum and hippocampus. PLoS One 2024; 19:e0297143. [PMID: 38427645 PMCID: PMC10906829 DOI: 10.1371/journal.pone.0297143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 12/28/2023] [Indexed: 03/03/2024] Open
Abstract
The sequential pathology of Kyasanur forest disease (KFD) in mouse brain was assessed in this study. Kyasanur forest disease virus (KFDV) strain P9605 used in this study was confirmed by real-time reverse transcriptase-polymerase chain reaction targeting the NS5 gene. Mouse Lethal Dose 50 (MLD50) of the virus was determined by in-vivo mice inoculation test. One MLD50 of the KFDV was inoculated intra-cerebrally into 36 mice aged 2-3 weeks. Another group of 36 age-matched mice that served as control group were inoculated with plain media. Six mice each from infected and control groups were euthanized every 24 hrs intervals for six days. Brain tissues were collected in 10% NBF. The collected brain tissues were processed and subjected to histopathological studies by Hematoxylin and Eosin staining. Grossly, the infected mice showed symptoms of dullness, hunched back appearance, weakness, sluggish movements with indication of hind quarter paralysis on day four post-infection. These symptoms got aggravated with complete paralysis of the hind quarters, inability to move and death on 5th and 6th day post-infection. Microscopically, the brain showed apoptosis of neurons, perivascular cuffing, gliosis, congestion, neuropil vacuolation, meningitis, degeneration, and necrotic neurons. The real-time RT-PCR on hippocampus of the KFDV-infected mouse brain showed three-fold higher expression levels of Caspase 3, a crucial mediator of apoptosis. The cerebral cortex, cerebellum and hippocampus that control the motor neuron activities and muscle tone were primarily affected, possibly correlating with the gross symptoms of hind quarter paralysis, ataxia, and other motor neuron dysfunctions noticed. Taken together, these findings reveal that KFDV induces apoptosis of neurons in the cerebrum and hippocampus of KFDV infected mice. Further studies are needed to confirm if the lesions noticed in mice brain simulate the brain lesions in humans since gross motor-neuron symptoms are similar in mice as well as humans.
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Affiliation(s)
- Ullasgowda K. Srikanth
- Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India
- Veterinary College, KVAFSU, Bangalore, India
| | | | - Suguna Rao
- Veterinary College, KVAFSU, Bangalore, India
| | - Amitha Reena Gomes
- Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India
| | | | | | - Bharath T. Lakshmikanth
- Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India
- Veterinary College, KVAFSU, Bangalore, India
| | - Chinmayie K. Siddaramegowda
- Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India
- Veterinary College, KVAFSU, Bangalore, India
| | - Apsana Rizwan
- Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India
| | | | | | | | - Raveendra Hegde
- Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India
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22
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Oltra J, Habich A, Schwarz CG, Nedelska Z, Przybelski SA, Inguanzo A, Diaz‐Galvan P, Lowe VJ, Oppedal K, Gonzalez MC, Philippi N, Blanc F, Barkhof F, Lemstra AW, Hort J, Padovani A, Rektorova I, Bonanni L, Massa F, Kramberger MG, Taylor J, Snædal JG, Walker Z, Antonini A, Dierks T, Segura B, Junque C, Westman E, Boeve BF, Aarsland D, Kantarci K, Ferreira D. Sex differences in brain atrophy in dementia with Lewy bodies. Alzheimers Dement 2024; 20:1815-1826. [PMID: 38131463 PMCID: PMC10947875 DOI: 10.1002/alz.13571] [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: 07/19/2023] [Revised: 10/13/2023] [Accepted: 11/10/2023] [Indexed: 12/23/2023]
Abstract
INTRODUCTION Sex influences neurodegeneration, but it has been poorly investigated in dementia with Lewy bodies (DLB). We investigated sex differences in brain atrophy in DLB using magnetic resonance imaging (MRI). METHODS We included 436 patients from the European-DLB consortium and the Mayo Clinic. Sex differences and sex-by-age interactions were assessed through visual atrophy rating scales (n = 327; 73 ± 8 years, 62% males) and automated estimations of regional gray matter volume and cortical thickness (n = 165; 69 ± 9 years, 72% males). RESULTS We found a higher likelihood of frontal atrophy and smaller volumes in six cortical regions in males and thinner olfactory cortices in females. There were significant sex-by-age interactions in volume (six regions) and cortical thickness (seven regions) across the entire cortex. DISCUSSION We demonstrate that males have more widespread cortical atrophy at younger ages, but differences tend to disappear with increasing age, with males and females converging around the age of 75. HIGHLIGHTS Male DLB patients had higher odds for frontal atrophy on radiological visual rating scales. Male DLB patients displayed a widespread pattern of cortical gray matter alterations on automated methods. Sex differences in gray matter measures in DLB tended to disappear with increasing age.
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Affiliation(s)
- Javier Oltra
- Medical Psychology UnitDepartment of MedicineInstitute of NeuroscienceUniversity of BarcelonaBarcelonaCataloniaSpain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS)BarcelonaCataloniaSpain
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Annegret Habich
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
- University Hospital of Psychiatry and Psychotherapy Bern, University of BernBernSwitzerland
| | | | - Zuzana Nedelska
- Memory ClinicDepartment of NeurologyCharles University2nd Faculty of Medicine and Motol University HospitalPragueCzech Republic
| | | | - Anna Inguanzo
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | | | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | - Ketil Oppedal
- Center for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Stavanger Medical Imaging Laboratory (SMIL)Department of RadiologyStavanger University HospitalStavangerNorway
- The Norwegian Centre for Movement DisordersStavanger University HospitalStavangerNorway
| | - Maria C. Gonzalez
- Center for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Stavanger Medical Imaging Laboratory (SMIL)Department of RadiologyStavanger University HospitalStavangerNorway
- The Norwegian Centre for Movement DisordersStavanger University HospitalStavangerNorway
- Department of Quality and Health TechnologyFaculty of Health SciencesUniversity of StavangerStavangerNorway
| | - Nathalie Philippi
- Geriatrics and Neurology UnitsResearch and Resources Memory Center (CM2R)Hôpitaux Universitaires de StrasbourgStrasbourgFrance
- ICube Laboratory (CNRS, UMR 7357)StrasbourgFrance
| | - Frederic Blanc
- Geriatrics and Neurology UnitsResearch and Resources Memory Center (CM2R)Hôpitaux Universitaires de StrasbourgStrasbourgFrance
- ICube Laboratory (CNRS, UMR 7357)StrasbourgFrance
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine (AMC)Amsterdam UMC, Vrije UniversiteitAmsterdamthe Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC)University College LondonLondonUK
| | - Afina W. Lemstra
- Alzheimer Center AmsterdamNeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VumcAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegeneration, Vrije Universiteit Amsterdam, Amsterdam UMC location VumcAmsterdamThe Netherlands
| | - Jakub Hort
- Memory ClinicDepartment of NeurologyCharles University2nd Faculty of Medicine and Motol University HospitalPragueCzech Republic
| | - Alessandro Padovani
- Neurology UnitDepartment of Clinical and Experimental Sciences (DSCS)University of BresciaBresciaItaly
| | - Irena Rektorova
- Brain and Mind ResearchCentral European Institute of Technology (CEITET)Masaryk UniversityBrnoCzech Republic
| | - Laura Bonanni
- Department of Medicine and Aging Sciences University G. d'Annunzio of Chieti‐Pescara ChietiChietiItaly
| | - Federico Massa
- Department of NeuroscienceRehabilitationOphthalmology, Genetics, Maternal and Child HealthUniversity of GenovaGenovaItaly
| | | | - John‐Paul Taylor
- Translational and Clinical Research InstituteFaculty of Medical SciencesNewcastle UniversityNewcastle upon TyneUK
| | | | - Zuzana Walker
- Division of PsychiatryUniversity College LondonLondonUK
- St Margaret's HospitalEssex Partnership University NHS Foundation TrustEssexUK
| | - Angelo Antonini
- Parkinson and Movement Disorders UnitStudy Center on Neurodegeneration (CESNE)PadovaItaly
| | - Thomas Dierks
- University Hospital of Psychiatry and Psychotherapy Bern, University of BernBernSwitzerland
| | - Barbara Segura
- Medical Psychology UnitDepartment of MedicineInstitute of NeuroscienceUniversity of BarcelonaBarcelonaCataloniaSpain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS)BarcelonaCataloniaSpain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED: CB06/05/0018‐ISCIII)BarcelonaCataloniaSpain
| | - Carme Junque
- Medical Psychology UnitDepartment of MedicineInstitute of NeuroscienceUniversity of BarcelonaBarcelonaCataloniaSpain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS)BarcelonaCataloniaSpain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED: CB06/05/0018‐ISCIII)BarcelonaCataloniaSpain
| | - Eric Westman
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | | | - Dag Aarsland
- Center for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Department of Old Age PsychiatryInstitute of PsychiatryPsychology & Neuroscience (IoPPN)King's College LondonLondonUK
| | | | - Daniel Ferreira
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
- Facultad de Ciencias de la SaludUniversidad Fernando Pessoa CanariasLas PalmasEspaña
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23
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Shao J, Qin J, Wang H, Sun Y, Zhang W, Wang X, Wang T, Xue L, Yao Z, Lu Q. Capturing the Individual Deviations From Normative Models of Brain Structure for Depression Diagnosis and Treatment. Biol Psychiatry 2024; 95:403-413. [PMID: 37579934 DOI: 10.1016/j.biopsych.2023.08.005] [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: 04/19/2023] [Revised: 07/20/2023] [Accepted: 08/03/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND The high heterogeneity of depression prevents us from obtaining reproducible and definite anatomical maps of brain structural changes associated with the disorder, which limits the individualized diagnosis and treatment of patients. In this study, we investigated the clinical issues related to depression according to individual deviations from normative ranges of gray matter volume. METHODS We enrolled 1092 participants, including 187 patients with depression and 905 healthy control participants. Structural magnetic resonance imaging data of healthy control participants from the Human Connectome Project (n = 510) and REST-meta-MDD Project (n = 229) were used to establish a normative model across the life span in adults 18 to 65 years old for each brain region. Deviations from the normative range for 187 patients and 166 healthy control participants recruited from two local hospitals were captured as normative probability maps, which were used to identify the disease risk and treatment-related latent factors. RESULTS In contrast to case-control results, our normative modeling approach revealed highly individualized patterns of anatomic abnormalities in depressed patients (less than 11% extreme deviation overlapping for any regions). Based on our classification framework, models trained with individual normative probability maps (area under the receiver operating characteristic curve range, 0.7146-0.7836) showed better performance than models trained with original gray matter volume values (area under the receiver operating characteristic curve range, 0.6800-0.7036), which was verified in an independent external test set. Furthermore, different latent brain structural factors in relation to antidepressant treatment were revealed by a Bayesian model based on normative probability maps, suggesting distinct treatment response and inclination. CONCLUSIONS Capturing personalized deviations from a normative range could help in understanding the heterogeneous neurobiology of depression and thus guide clinical diagnosis and treatment of depression.
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Affiliation(s)
- Junneng Shao
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China; Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China
| | - Jiaolong Qin
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
| | - Huan Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China; Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China
| | - Yurong Sun
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China; Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China
| | - Wei Zhang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China; Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China
| | - Xinyi Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China; Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China
| | - Ting Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China; Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China
| | - Li Xue
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China; Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China
| | - Zhijian Yao
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China; Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, China.
| | - Qing Lu
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China; Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China.
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24
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Dervinis M, Crunelli V. Spike-and-wave discharges of absence seizures in a sleep waves-constrained corticothalamic model. CNS Neurosci Ther 2024; 30:e14204. [PMID: 37032628 PMCID: PMC10915988 DOI: 10.1111/cns.14204] [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: 11/02/2022] [Revised: 03/18/2023] [Accepted: 03/24/2023] [Indexed: 04/11/2023] Open
Abstract
AIMS Recurrent network activity in corticothalamic circuits generates physiological and pathological EEG waves. Many computer models have simulated spike-and-wave discharges (SWDs), the EEG hallmark of absence seizures (ASs). However, these models either provided detailed simulated activity only in a selected territory (i.e., cortical or thalamic) or did not test whether their corticothalamic networks could reproduce the physiological activities that are generated by these circuits. METHODS Using a biophysical large-scale corticothalamic model that reproduces the full extent of EEG sleep waves, including sleep spindles, delta, and slow (<1 Hz) waves, here we investigated how single abnormalities in voltage- or transmitter-gated channels in the neocortex or thalamus led to SWDs. RESULTS We found that a selective increase in the tonic γ-aminobutyric acid type A receptor (GABA-A) inhibition of first-order thalamocortical (TC) neurons or a selective decrease in cortical phasic GABA-A inhibition is sufficient to generate ~4 Hz SWDs (as in humans) that invariably start in neocortical territories. Decreasing the leak conductance of higher-order TC neurons leads to ~7 Hz SWDs (as in rodent models) while maintaining sleep spindles at 7-14 Hz. CONCLUSION By challenging key features of current mechanistic views, this simulated ictal corticothalamic activity provides novel understanding of ASs and makes key testable predictions.
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Affiliation(s)
- Martynas Dervinis
- Neuroscience Division, School of BioscienceCardiff UniversityMuseum AvenueCardiffCF10 3AXUK
- Present address:
School of Physiology, Pharmacology and NeuroscienceBiomedical BuildingBristolBS8 1TDUK
| | - Vincenzo Crunelli
- Neuroscience Division, School of BioscienceCardiff UniversityMuseum AvenueCardiffCF10 3AXUK
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25
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Ruis C, Robe PA, Dijkerman HC. Preserving the ability to discriminate between left and right; A case study. J Neuropsychol 2024; 18 Suppl 1:85-90. [PMID: 37771271 DOI: 10.1111/jnp.12348] [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: 12/09/2022] [Revised: 08/29/2023] [Accepted: 09/20/2023] [Indexed: 09/30/2023]
Abstract
Left-right orientation, a function related to the parietal lobe, is important for many daily activities. Here, we describe a left-handed patient with a right parietal brain tumour. During awake surgery, electric stimulation of the right inferior parietal lobe resulted in mistakes in his left-right orientation. Postoperatively our patient had no problems in discriminating left right. This case report shows that monitoring of left-right orientation during awake brain tumour surgery is feasible so that this function can be preserved.
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Affiliation(s)
- Carla Ruis
- Helmholtz Institute, Experimental Psychology, Utrecht University, Utrecht, The Netherlands
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Pierre A Robe
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - H Chris Dijkerman
- Helmholtz Institute, Experimental Psychology, Utrecht University, Utrecht, The Netherlands
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26
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Xiong Y, Yang L, Wang C, Zhao C, Luo J, Wu D, Ouyang Y, de Thiebaut de Schotten M, Gong G. Cortical mapping of callosal connections in healthy young adults. Hum Brain Mapp 2024; 45:e26629. [PMID: 38379508 PMCID: PMC10879906 DOI: 10.1002/hbm.26629] [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: 05/17/2023] [Revised: 01/28/2024] [Accepted: 02/04/2024] [Indexed: 02/22/2024] Open
Abstract
The corpus callosum (CC) is the principal white matter bundle supporting communication between the two brain hemispheres. Despite its importance, a comprehensive mapping of callosal connections is still lacking. Here, we constructed the first bidirectional population-based callosal connectional atlas between the midsagittal section of the CC and the cerebral cortex of the human brain by means of diffusion-weighted imaging tractography. The estimated connectional topographic maps within this atlas have the most fine-grained spatial resolution, demonstrate histological validity, and were reproducible in two independent samples. This new resource, a complete and comprehensive atlas, will facilitate the investigation of interhemispheric communication and come with a user-friendly companion online tool (CCmapping) for easy access and visualization of the atlas.
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Affiliation(s)
- Yirong Xiong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDGMcGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Liyuan Yang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDGMcGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Changtong Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDGMcGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Chenxi Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDGMcGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Junhao Luo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDGMcGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Di Wu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDGMcGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Yiping Ouyang
- The Queen's University of Belfast Joint CollegeChina Medical UniversityShenyangChina
| | - Michel de Thiebaut de Schotten
- Brain Connectivity and Behaviour LaboratorySorbonne UniversitéParisFrance
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives‐UMR 5293, Centre National de la Recherche Scienti que, Commissariat à l'Energie AtomiqueUniversity of BordeauxBordeauxFrance
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDGMcGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
- Beijing Key Laboratory of Brain Imaging and ConnectomicsBeijing Normal UniversityBeijingChina
- Chinese Institute for Brain ResearchBeijingChina
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27
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González-Alemañy E, Ostrosky F, Lozano A, Lujan A, Perez M, Castañeda D, Diaz K, Lara R, Sacristan E, Bobes MA. Brain structural change associated with Cognitive Behavioral Therapy in maltreated children. Brain Res 2024; 1825:148702. [PMID: 38070819 DOI: 10.1016/j.brainres.2023.148702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 01/28/2024]
Abstract
BACKGROUND Severely maltreatment child is a harmful social factor that can disrupt normal neurodevelopment. Two commonly reported effects of maltreatment are post-traumatic stress disorder (PTSD) symptoms and brain structural and functional alteration. While Trauma-Focused Cognitive-Behavioral Therapy (TF-CBT) is effectively used to reduce PTSD symptoms in maltreated children, yet, its impact on brain structural alterations has not been fully explored. This study investigated whether TF-CBT can attenuate alterations in brain structures associated with PTSD in middle childhood. METHODS The study evaluated the longitudinal effects of Trauma-Focused Cognitive-Behavioral Therapy (TF-CBT) on post-traumatic stress disorder (PTSD) symptoms and gray matter volume (GMV) in two groups of children under 12 years old: maltreated children (MC) and healthy non- maltreatmentd children (HC). Structural magnetic resonance images T1 were obtained before and after TF-CBT in the MC group, while the HC group was scanned twice within the same time interval. Voxel-based morphometry (VBM) was used to analyze GMV changes over time. RESULTS After TF-CBT, maltreated children showed significantly reduced PTSD symptoms. Furthermore, a significant group-by-time interaction effect was observed in certain areas of the Left Temporal, Left Occipital, and bilateral Frontal Cortex, the Basal Ganglia and Cerebellum. These interaction effects were driven by a GMV decrease in the MC group compared to the HC group. GMV changes can be predicted with clinical improvement in the left Middle Temporal gyrus, left Precuneus, and Cerebellum. CONCLUSIONS Our results suggest that TF-CBT intervention in very young maltreated children may have an effect on gray matter. This evidence demonstrates the importance of timely intervention when neuroplasticity mechanisms may be activated.
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Affiliation(s)
| | | | | | | | | | | | | | - Rafael Lara
- Centro Nacional de Investigación en Imagenología e instrumentación Médica (CI3M, Universidad Nacional Autónoma de México UNAM), México.
| | - Emilio Sacristan
- Centro Nacional de Investigación en Imagenología e instrumentación Médica (CI3M, Universidad Nacional Autónoma de México UNAM), México.
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28
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Wen B, Xu Y, Fang K, Guo HR, Liu H, Liu L, Wei Y, Zhang Y, Cheng J, Han S. Gray matter morphological abnormities are constrained by normal structural covariance network in OCD. Prog Neuropsychopharmacol Biol Psychiatry 2024; 129:110884. [PMID: 37863170 DOI: 10.1016/j.pnpbp.2023.110884] [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: 07/16/2023] [Revised: 10/02/2023] [Accepted: 10/17/2023] [Indexed: 10/22/2023]
Abstract
A growing body of evidences reveal that abnormal gray matter morphology is constrained by normal brain network architecture in neurodegenerative and psychiatric disorders. However, whether this finding holds true in obsessive-compulsive disorder (OCD) remains unknown. In the current study, we aimed to investigate the association between gray matter morphological abnormities and normal structural covariance network architecture in OCD. First, gray matter morphological abnormities were obtained between 98 medicine-naive and first-episode patients with OCD and 130 healthy controls (HCs). Then, putative disease epicenters whose structural connectome profiles in HCs most resembled the morphological differences pattern were identified using a backfoward stepwise regression analysis. A set of brain regions were identified as putative disease epicenters whose structural connectome architecture significantly explained 59.94% variance of morphological abnormalities. These disease epicenters comprised brain regions implicated in high-order cognitive functions and sensory/motor processing. Other brain regions with stronger structural connections to disease epicenters exhibited greater vulnerability to disease. Together, these results suggest that gray matter abnormities are constrained by structural connectome and provide new insights into the possible pathological progression in OCD.
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Affiliation(s)
- Baohong Wen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Engineering Technology Research Center for Detection and Application of brain function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Yinhuan Xu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Engineering Technology Research Center for Detection and Application of brain function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Keke Fang
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, China
| | - Hui-Rong Guo
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, China
| | - Hao Liu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Engineering Technology Research Center for Detection and Application of brain function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Liang Liu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Engineering Technology Research Center for Detection and Application of brain function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Engineering Technology Research Center for Detection and Application of brain function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Engineering Technology Research Center for Detection and Application of brain function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China; Henan Engineering Research Center of Brain Function Development and Application, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Engineering Technology Research Center for Detection and Application of brain function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China; Henan Engineering Research Center of Brain Function Development and Application, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Engineering Technology Research Center for Detection and Application of brain function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China; Henan Engineering Research Center of Brain Function Development and Application, China.
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29
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Cornwell H, Toschi N, Hamilton-Giachritsis C, Staginnus M, Smaragdi A, Gonzalez-Madruga K, Mackes N, Rogers J, Martinelli A, Kohls G, Raschle NM, Konrad K, Stadler C, Freitag CM, De Brito SA, Fairchild G. Identifying cortical structure markers of resilience to adversity in young people using surface-based morphometry. Soc Cogn Affect Neurosci 2024; 19:nsae006. [PMID: 38287706 PMCID: PMC10868125 DOI: 10.1093/scan/nsae006] [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: 06/26/2023] [Revised: 11/28/2023] [Accepted: 01/23/2024] [Indexed: 01/31/2024] Open
Abstract
Previous research on the neurobiological bases of resilience in youth has largely used categorical definitions of resilience and voxel-based morphometry methods that assess gray matter volume. However, it is important to consider brain structure more broadly as different cortical properties have distinct developmental trajectories. To address these limitations, we used surface-based morphometry and data-driven, continuous resilience scores to examine associations between resilience and cortical structure. Structural MRI data from 286 youths (Mage = 13.6 years, 51% female) who took part in the European multi-site FemNAT-CD study were pre-processed and analyzed using surface-based morphometry. Continuous resilience scores were derived for each participant based on adversity exposure and levels of psychopathology using the residual regression method. Vertex-wise analyses assessed for correlations between resilience scores and cortical thickness, surface area, gyrification and volume. Resilience scores were positively associated with right lateral occipital surface area and right superior frontal gyrification and negatively correlated with left inferior temporal surface area. Moreover, sex-by-resilience interactions were observed for gyrification in frontal and temporal regions. Our findings extend previous research by revealing that resilience is related to surface area and gyrification in frontal, occipital and temporal regions that are implicated in emotion regulation and face or object recognition.
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Affiliation(s)
- Harriet Cornwell
- Department of Psychology, University of Bath, 10 West, Claverton Down, Bath, Somerset BA2 7AY, UK
| | - Nicola Toschi
- Department of Biomedicine and Prevention, University of Rome ‘Tor Vergata’, Facoltà di Medicina e Chirurgia, Viale Montpellier, Rome 1 – 00133, Italy
- Martinos Center for Biomedical Imaging and Harvard Medical School, 149 13th Street Charlestown, Boston, MA 02129, USA
| | | | - Marlene Staginnus
- Department of Psychology, University of Bath, 10 West, Claverton Down, Bath, Somerset BA2 7AY, UK
| | - Areti Smaragdi
- Child Development Institute, 197 Euclid Ave., Toronto, Ontario, M6J 2J8, Canada
| | - Karen Gonzalez-Madruga
- Department of Psychology, Middlesex University, The Burroughs, Hendon, London NW4 4BT, UK
| | - Nuria Mackes
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, De Crespigny Park, London SE5 8AF, UK
| | - Jack Rogers
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Anne Martinelli
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Deutschordenstrasse 50, Frankfurt am Main 60528, Germany
- Fresenius University of Applied Sciences, School of Psychology, Marienburgstrasse 6, Frankfurt am Main 60528, Germany
| | - Gregor Kohls
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, RWTH Aachen, Pauwelsstrasse 30, Aachen 52074, Germany
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Fetscherstrasse 74, Dresden 01307, Germany
| | - Nora Maria Raschle
- Department of Child and Adolescent Psychiatry, University of Basel, Psychiatric University Hospital, Wilhelm Klein-Strasse 27, Basel 4002, Switzerland
- Jacobs Center for Productive Youth Development at the University of Zurich, Andreasstrasse 15, Zurich 8050, Switzerland
| | - Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, RWTH Aachen, Pauwelsstrasse 30, Aachen 52074, Germany
- JARA-Brain Institute II, Molecular Neuroscience and Neuroimaging, RWTH Aachen and Research Centre Juelich, Wilhelm-Johnen-Straße, Juelich 52425, Germany
| | - Christina Stadler
- Department of Child and Adolescent Psychiatry, University of Basel, Psychiatric University Hospital, Wilhelm Klein-Strasse 27, Basel 4002, Switzerland
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Deutschordenstrasse 50, Frankfurt am Main 60528, Germany
| | - Stephane A De Brito
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Graeme Fairchild
- Department of Psychology, University of Bath, 10 West, Claverton Down, Bath, Somerset BA2 7AY, UK
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30
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Blondiaux E, Diamantaras A, Schumacher R, Blanke O, Müri R, Heydrich L. The neural correlates of topographical disorientation-a lesion analysis study. Ann Clin Transl Neurol 2024; 11:520-524. [PMID: 38234234 PMCID: PMC10863913 DOI: 10.1002/acn3.51967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/24/2023] [Accepted: 11/28/2023] [Indexed: 01/19/2024] Open
Abstract
Topographical disorientation refers to the selective inability to orient oneself in familiar surroundings. However, to date its neural correlates remain poorly understood. Here we use quantitative lesion analysis and a lesion network mapping approach in order to investigate seven patients with topographical disorientation. Our findings link not only the posterior parahippocampal gyrus (PHG) and retrosplenial cortex but also the lingual gyrus, the precuneus and the fusiform gyrus to topographical disorientation. We propose that topographical disorientation is due to the inability to integrate familiar landmarks within a framework of allocentric and egocentric orientation, supported by a neural network including the posterior PHG, the retrosplenial and the lingual cortex.
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Affiliation(s)
- Eva Blondiaux
- Laboratory of Cognitive NeuroscienceBrain‐Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale de LausanneLausanneSwitzerland
- Center for NeuroprostheticsSchool of Life Sciences, Ecole Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Andreas Diamantaras
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- CORE Lab, Psychosomatic Competence Center, Department of NeurologyInselspital. Bern University Hospital, University of BernBernSwitzerland
| | - Rahel Schumacher
- Department of NeurologyInselspital, University Neurorehabilitation, Bern University Hospital, University of BernBernSwitzerland
| | - Olaf Blanke
- Laboratory of Cognitive NeuroscienceBrain‐Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale de LausanneLausanneSwitzerland
- Center for NeuroprostheticsSchool of Life Sciences, Ecole Polytechnique Fédérale de LausanneLausanneSwitzerland
- Department of NeurologyUniversity Hospital GenevaGenevaSwitzerland
| | - René Müri
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of NeurologyInselspital, University Neurorehabilitation, Bern University Hospital, University of BernBernSwitzerland
| | - Lukas Heydrich
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- CORE Lab, Psychosomatic Competence Center, Department of NeurologyInselspital. Bern University Hospital, University of BernBernSwitzerland
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31
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Boban M, Golubić AT. E-mail as an early indicator of posterior cortical atrophy. Neurol Sci 2024; 45:787-790. [PMID: 37828388 DOI: 10.1007/s10072-023-07109-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 09/30/2023] [Indexed: 10/14/2023]
Affiliation(s)
- Marina Boban
- School of Medicine, University of Zagreb, Zagreb, Croatia.
- Department of Neurology, Referral Centre for Cognitive Neurology and Neurophysiology, University Hospital Centre Zagreb, Zagreb, Croatia.
| | - Anja Tea Golubić
- Department of Nuclear Medicine and Radiation Protection, University Hospital Centre Zagreb, Zagreb, Croatia
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32
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Greenberg ABW, Mekbib KY, Mehta NH, Kiziltug E, Duy PQ, Smith HR, Junkkari A, Leinonen V, Hyman BT, Chan D, Curry Jr WT, Arnold SE, Barker II FG, Frosch MP, Kahle KT. Utility of cortical tissue analysis in normal pressure hydrocephalus. Cereb Cortex 2024; 34:bhae001. [PMID: 38275188 PMCID: PMC10839843 DOI: 10.1093/cercor/bhae001] [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: 11/26/2023] [Revised: 12/28/2023] [Accepted: 12/29/2023] [Indexed: 01/27/2024] Open
Abstract
Clinical improvement following neurosurgical cerebrospinal fluid shunting for presumed idiopathic normal pressure hydrocephalus is variable. Idiopathic normal pressure hydrocephalus patients may have undetected Alzheimer's disease-related cortical pathology that confounds diagnosis and clinical outcomes. In this study, we sought to determine the utility of cortical tissue immuno-analysis in predicting shunting outcomes in idiopathic normal pressure hydrocephalus patients. We performed a pooled analysis using a systematic review as well as analysis of a new, original patient cohort. Of the 2707 screened studies, 3 studies with a total of 229 idiopathic normal pressure hydrocephalus patients were selected for inclusion in this meta-analysis alongside our original cohort. Pooled statistics of shunting outcomes for the 229 idiopathic normal pressure hydrocephalus patients and our new cohort of 36 idiopathic normal pressure hydrocephalus patients revealed that patients with Aβ + pathology were significantly more likely to exhibit shunt nonresponsiveness than patients with negative pathology. Idiopathic normal pressure hydrocephalus patients with Alzheimer's disease -related cortical pathology may be at a higher risk of treatment facing unfavorable outcomes following cerebrospinal fluid shunting. Thus, cortical tissue analysis from living patients may be a useful diagnostic and prognostic adjunct for patients with presumed idiopathic normal pressure hydrocephalus and potentially other neurodegenerative conditions affecting the cerebral cortex.
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Affiliation(s)
- Ana B W Greenberg
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, United States
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, United States
| | - Kedous Y Mekbib
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, United States
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, United States
| | - Neel H Mehta
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Emre Kiziltug
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, United States
| | - Phan Q Duy
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, United States
| | - Hannah R Smith
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Antti Junkkari
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States
| | - Ville Leinonen
- Department of Neurosurgery, Kuopio University Hospital, Kuopio 70211, Finland
| | - Bradley T Hyman
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Diane Chan
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States
| | - William T Curry Jr
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Steven E Arnold
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Frederick G Barker II
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Matthew P Frosch
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Kristopher T Kahle
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, United States
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States
- Harvard Center for Hydrocephalus and Neurodevelopmental Disorders, Massachusetts General Hospital, Boston, MA 02114, United States
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33
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Sokołowski A, Bhagwat N, Chatelain Y, Dugré M, Hanganu A, Monchi O, McPherson B, Wang M, Poline JB, Sharp M, Glatard T. Longitudinal brain structure changes in Parkinson's disease: A replication study. PLoS One 2024; 19:e0295069. [PMID: 38295031 PMCID: PMC10830012 DOI: 10.1371/journal.pone.0295069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 11/13/2023] [Indexed: 02/02/2024] Open
Abstract
CONTEXT An existing major challenge in Parkinson's disease (PD) research is the identification of biomarkers of disease progression. While magnetic resonance imaging is a potential source of PD biomarkers, none of the magnetic resonance imaging measures of PD are robust enough to warrant their adoption in clinical research. This study is part of a project that aims to replicate 11 PD studies reviewed in a recent survey (JAMA neurology, 78(10) 2021) to investigate the robustness of PD neuroimaging findings to data and analytical variations. OBJECTIVE This study attempts to replicate the results in Hanganu et al. (Brain, 137(4) 2014) using data from the Parkinson's Progression Markers Initiative (PPMI). METHODS Using 25 PD subjects and 18 healthy controls, we analyzed the rate of change of cortical thickness and of the volume of subcortical structures, and we measured the relationship between structural changes and cognitive decline. We compared our findings to the results in the original study. RESULTS (1) Similarly to the original study, PD patients with mild cognitive impairment (MCI) exhibited increased cortical thinning over time compared to patients without MCI in the right middle temporal gyrus, insula, and precuneus. (2) The rate of cortical thinning in the left inferior temporal and precentral gyri in PD patients correlated with the change in cognitive performance. (3) There were no group differences in the change of subcortical volumes. (4) We did not find a relationship between the change in subcortical volumes and the change in cognitive performance. CONCLUSION Despite important differences in the dataset used in this replication study, and despite differences in sample size, we were able to partially replicate the original results. We produced a publicly available reproducible notebook allowing researchers to further investigate the reproducibility of the results in Hanganu et al. (2014) when more data is added to PPMI.
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Affiliation(s)
- Andrzej Sokołowski
- Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
| | - Nikhil Bhagwat
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Yohan Chatelain
- Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
| | - Mathieu Dugré
- Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
| | - Alexandru Hanganu
- Département de Psychologie, Université de Montréal, Montréal, Canada
| | - Oury Monchi
- Département de Radiologie, Radio-Oncologie et Médecine Nucléaire, Université de Montréal, Montréal, Canada
| | - Brent McPherson
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Michelle Wang
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | | | - Madeleine Sharp
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Tristan Glatard
- Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
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Kobayashi H, Sasabayashi D, Takahashi T, Furuichi A, Kido M, Takayanagi Y, Noguchi K, Suzuki M. The relationship between gray/white matter contrast and cognitive performance in first-episode schizophrenia. Cereb Cortex 2024; 34:bhae009. [PMID: 38265871 DOI: 10.1093/cercor/bhae009] [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: 02/10/2023] [Revised: 01/04/2024] [Accepted: 01/04/2024] [Indexed: 01/26/2024] Open
Abstract
Previous postmortem brain studies have revealed disturbed myelination in the intracortical regions in patients with schizophrenia, possibly reflecting anomalous brain maturational processes. However, it currently remains unclear whether this anomalous myelination is already present in early illness stages and/or progresses during the course of the illness. In this magnetic resonance imaging study, we examined gray/white matter contrast (GWC) as a potential marker of intracortical myelination in 63 first-episode schizophrenia (FESz) patients and 77 healthy controls (HC). Furthermore, we investigated the relationships between GWC findings and clinical/cognitive variables in FESz patients. GWC in the bilateral temporal, parietal, occipital, and insular regions was significantly higher in FESz patients than in HC, which was partly associated with the durations of illness and medication, the onset age, and lower executive and verbal learning performances. Because higher GWC implicates lower myelin in the deeper layers of the cortex, these results suggest that schizophrenia patients have less intracortical myelin at the time of their first psychotic episode, which underlies lower cognitive performance in early illness stages.
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Affiliation(s)
- Haruko Kobayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
- Research Center for idling Brain Science, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
- Research Center for idling Brain Science, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
- Research Center for idling Brain Science, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
- Research Center for idling Brain Science, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
- Kido Clinic, 244 Honoki, Imizu City, Toyama, 934-0053, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
- Arisawabashi Hospital, 5-5 Hane-Shin, Fuchu-Machi, Toyama, 939-2704, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
- Research Center for idling Brain Science, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
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Abstract
My first encounter with prion diseases dates to 1986. As a clinical resident in neuropathology, I was tasked with performing autopsies of patients who died of mysterious brain diseases. In his early 60s, my patient had developed a form of dementia that progressed at a terrifyingly rapid pace and eventually led to his death. I sampled the patient's brain and processed it for histological examination. The microscope revealed an eerie landscape of destruction. All that was left in the patient's cortex were astrocytes and microglia, and the few remaining neurons showed extensive vacuolation of their bodies and processes. Such blazing destruction of the brain was indicative of just one diagnosis: Creutzfeldt-Jakob disease, a spongiform encephalopathy caused by enigmatic infectious agents called prions.
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Affiliation(s)
- Adriano Aguzzi
- Institute of Neuropathology, University of Zurich, CH-8092 Zurich, Switzerland.
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Zhou Y, Zhu Y, Ye H, Jiang W, Zhang Y, Kong Y, Yuan Y. Abnormal changes of dynamic topological characteristics in patients with major depressive disorder. J Affect Disord 2024; 345:349-357. [PMID: 37884195 DOI: 10.1016/j.jad.2023.10.143] [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: 03/17/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Most studies have detected abnormalities of static topological characteristics in major depressive disorder (MDD). However, whether dynamic alternations in brain topology are influenced by MDD remains unknown. METHODS An approach was proposed to capture the dynamic topological characteristics with sliding-window and graph theory for a large data sample from the REST-meta-MDD project. RESULTS It was shown that patients with MDD were characterized by decreased nodal efficiency of the left orbitofrontal cortex. The temporal variability of topological characteristics was focused on the left opercular part of inferior frontal gyrus, and the right part of middle frontal gyrus, inferior parietal gyrus, precuneus and thalamus. LIMITATIONS Future studies need larger and diverse samples to explore the relationship between dynamic topological network characteristics and MDD symptoms. CONCLUSIONS The results support that the altered dynamic topology in cortex of frontal and parietal lobes and thalamus during resting-state activity may be involved in the neuropathological mechanism of MDD.
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Affiliation(s)
- Yue Zhou
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Yihui Zhu
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu Province 210096, China
| | - Hongting Ye
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu Province 210096, China
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Yubo Zhang
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Youyong Kong
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu Province 210096, China.
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China; Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing 210009, China.
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Zhang X, Xie M, Li W, Xu Z, Wang Z, Jiang W, Wu Y, Liu N. Abnormalities of structural covariance of insular subregions in drug-naïve OCD patients. Cereb Cortex 2024; 34:bhad469. [PMID: 38102948 DOI: 10.1093/cercor/bhad469] [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: 09/09/2023] [Revised: 11/08/2023] [Accepted: 11/22/2023] [Indexed: 12/17/2023] Open
Abstract
The insula plays a significant role in the neural mechanisms of obsessive-compulsive disorder. Previous studies have identified functional and structural abnormalities in insula in obsessive-compulsive disorder patients. The predictive coding model in the context of interoception can explain the psychological and neuropathological manifestations observed in obsessive-compulsive disorder. The model is based on the degree of laminar differentiation of cerebral cortex. The interindividual differences in a local measure of brain structure often covary with interindividual differences in other brain regions. We investigated the anatomical network involving the insula in a drug-naïve obsessive-compulsive disorder sample. We recruited 58 obsessive-compulsive disorder patients and 84 matched health controls. The cortical thickness covariance maps between groups were compared at each vertex. We also evaluated the modulation of Yale-Brown Obsessive-Compulsive Scale scores and obsessive-compulsive disorder duration on thickness covariance. Our findings indicated that the thickness covariance seeded from granular and dysgranular insula are different compared with controls. The duration and severity of obsessive-compulsive disorder can modulate the thickness covariance of granular and dysgranular insula with posterior cingulate cortex and rostral anterior cingulate cortex. Our results revealed aberrant insular structural characteristics and cortical thickness covariance in obsessive-compulsive disorder patients, contributing to a better understanding of the involvement of insula in the pathological mechanisms underlying obsessive-compulsive disorder.
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Affiliation(s)
- Xuedi Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Minyao Xie
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Wangyue Li
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Zhihan Xu
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Zhongqi Wang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Wenjing Jiang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Yu Wu
- School of Psychology, Nanjing Normal University, Nanjing 210023, China
| | - Na Liu
- Department of Medical Psychology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
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Seidenbecher S, Schöne M, Kaufmann J, Schiltz K, Bogerts B, Frodl T. Neuroanatomical correlates of aggressiveness: a case-control voxel- and surface-based morphometric study. Brain Struct Funct 2024; 229:31-46. [PMID: 37819409 PMCID: PMC10827843 DOI: 10.1007/s00429-023-02715-x] [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: 04/24/2023] [Accepted: 09/20/2023] [Indexed: 10/13/2023]
Abstract
Aggression occurs across the population ranging on a symptom continuum. Most previous studies have used magnetic resonance imaging in clinical/forensic samples, which is associated with several confounding factors. The present study examined structural brain characteristics in two healthy samples differing only in their propensity for aggressive behavior. Voxel- and surface-based morphometry (SBM) analyses were performed on 29 male martial artists and 32 age-matched male controls. Martial artists had significantly increased mean gray matter volume in two frontal (left superior frontal gyrus and bilateral anterior cingulate cortex) and one parietal (bilateral posterior cingulate gyrus and precuneus) brain clusters compared to controls (whole brain: p < 0.001, cluster level: family-wise error (FWE)-corrected). SBM analyses revealed a trend for greater gyrification indices in martial artists compared to controls in the left lateral orbital frontal cortex and the left pars orbitalis (whole brain: p < 0.001, cluster level: FWE-corrected). The results indicate brain structural differences between martial artists and controls in frontal and parietal brain areas critical for emotion processing/inhibition of emotions as well as empathic processes. The present study highlights the importance of studying healthy subjects with a propensity for aggressive behavior in future structural MRI research on aggression.
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Affiliation(s)
- Stephanie Seidenbecher
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany.
| | - Maria Schöne
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Jörn Kaufmann
- Department of Neurology, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Kolja Schiltz
- Department of Forensic Psychiatry, Psychiatric Hospital of the Ludwig-Maximilians-University, Munich, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Bernhard Bogerts
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto von Guericke University Magdeburg, Magdeburg, Germany
- Salus-Institute, Salus gGmbH, Magdeburg, Germany
| | - Thomas Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto von Guericke University Magdeburg, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, RWTH Aachen University, Aachen, Germany
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Neuhaus E, Bitzer F, Held NR, Bauer T, Gaubatz J, von Wrede R, Baumgartner T, Rácz A, Becker V, Surges R, Rüber T. Volumetric gray matter findings in autonomic network regions of people with focal epilepsy. J Neuroimaging 2024; 34:55-60. [PMID: 37840190 DOI: 10.1111/jon.13164] [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: 07/18/2023] [Revised: 10/06/2023] [Accepted: 10/07/2023] [Indexed: 10/17/2023] Open
Abstract
BACKGROUND AND PURPOSE Voxel-based morphometry (VBM) studies of people with focal epilepsies revealed gray matter (GM) alterations in brain regions involved in cardiorespiratory regulation, which have been linked to the risk of sudden unexpected death in epilepsy (SUDEP). It remains unclear whether the type and localization of epileptogenic lesions influence the occurrence of such alterations. METHODS To test the hypothesis that VBM alterations of autonomic network regions are independent of epileptogenic lesions and that they reveal structural underpinnings of SUDEP risk, VBM was performed in 100 people with focal epilepsies without an epileptogenic lesion identifiable on MRI (mean age ± standard deviation = 35 ± 11 years, 56 female). The group was further stratified in high (sample size n = 29) and low risk of SUDEP (n = 71). GM volumes were compared between these two subgroups and to 100 matched controls. RESULTS People with epilepsy displayed higher GM volume in both amygdalae and parahippocampal gyri and lower GM volume in the cerebellum and occipital (p<.05, familywise error corrected). There were no significant volumetric differences between high and low SUDEP risk subgroups. CONCLUSION Our findings confirm that autonomic networks are structurally altered in people with focal epilepsy and they question VBM as a suitable method to show structural correlates of the SUDEP risk score.
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Affiliation(s)
- Elisabeth Neuhaus
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neurology, Epilepsy Center Frankfurt Rhine-Main, Goethe University Frankfurt, Frankfurt am Main, Germany
- Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
- Institute of Neuroradiology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Felix Bitzer
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Nina R Held
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Tobias Bauer
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Jennifer Gaubatz
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Randi von Wrede
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | | | - Atilla Rácz
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Vitali Becker
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Rainer Surges
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Theodor Rüber
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
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Abstract
Cerebral microinfarcts (CMIs) are small ischemic lesions invisible to the naked eye at brain autopsy, while the larger ones (0.5-4 mm in diameter) have been visualized in-vivo on magnetic resonance imaging (MRI). CMIs can be detected on diffusion-weighted imaging (DWI) as incidental small DWI-positive lesions (ISDPLs) and on structural MRI for those confined to the cortex and in the chronic phase. ISDPLs may evolve into old cortical-CMIs, white matter hyperintensities or disappear depending on their location and size. Novel techniques in neuropathology and neuroimaging facilitate the detection of CMIs, which promotes understanding of these lesions. CMIs have heterogeneous causes, involving both cerebral small- and large-vessel disease as well as heart diseases such as atrial fibrillation and congestive heart failure. The underlying mechanisms incorporate vascular remodeling, inflammation, blood-brain barrier leakage, penetrating venule congestion, cerebral hypoperfusion, and microembolism. CMIs lead to clinical outcomes, including cognitive decline, a higher risk of stroke and mortality, and accelerated neurobehavioral disturbances. It has been suggested that CMIs can impair brain function and connectivity beyond the microinfarct core and are also associated with perilesional and global cortical atrophy. This review aims to summarize recent progress in studies involving both cortical-CMIs and ISDPLs since 2017, including their detection, etiology, risk factors, MRI correlates, and clinical consequences.
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Affiliation(s)
- Jiannan Huang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Yuichiro Ii
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
- Department of Neuroimaging and Pathophysiology, Mie University School of Medicine, Tsu, Japan
| | - Ingmar Skoog
- Institute of Neuroscience and Physiology and Centre for Ageing and Health, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry Cognition and Old Age Psychiatry, Sahlgrenska University Hospital, Region Västra Götaland, Mölndal, Sweden
| | - Vincent Mok
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong
- Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese and Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Christopher Chen
- Memory Aging and Cognition Centre, National University Health System, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Saima Hilal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Saushkina AO, Averkin NS. [Qualitative and quantitative characteristics of structures of cerebral cortex structure in young people under conditions of chronic alcohol intoxication]. Sud Med Ekspert 2024; 67:10-13. [PMID: 38353008 DOI: 10.17116/sudmed20246701110] [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] [Indexed: 02/16/2024]
Abstract
OBJECTIVE To study morphological changes of cerebral cortex in young people under the conditions of chronic alcohol intoxication (CAI). MATERIAL AND METHODS Morphometric examination of cerebral cortex fragments obtained from 28 persons who died with a CAI diagnosis (average age was 38 years), and 25 subjects who died from other causes, which are not associated with alcohol consumption (average age was 39 years), was carried out. RESULTS It was shown that neurons of pathological shapes, including hypo- and hyperchromic, pyknotic and «shadow-like», were dominant in group of CAI. There was an increase in the glial index and a greater intensity of perivascular and pericellular edema compared to the control group. CONCLUSION Morphological changes of cerebral cortex under the conditions of CAI are non-specific and largely similar to neurodegenerative alterations in other pathological conditions, senile dementia. Clearer histological criteria for alcoholic encephalopathy are needed, including with the use of immunohistochemical methods.
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Liang J, Yu Q, Liu Y, Qiu Y, Tang R, Yan L, Zhou P. Gray matter abnormalities in patients with major depressive disorder and social anxiety disorder: a voxel-based meta-analysis. Brain Imaging Behav 2023; 17:749-763. [PMID: 37725323 PMCID: PMC10733224 DOI: 10.1007/s11682-023-00797-z] [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] [Accepted: 08/30/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND Major depressive and social anxiety disorders have a high comorbidity rate and similar cognitive patterns. However, their unique and shared neuroanatomical characteristics have not been fully identified. METHODS Voxel-based morphometric studies comparing gray matter volume between patients with major depressive disorder/social anxiety disorder and healthy controls were searched using 4 electronic databases from the inception to March 2022. Stereotactic data were extracted and subsequently tested for convergence and differences using activation likelihood estimation. In addition, based on the result of the meta-analysis, behavioral analysis was performed to assess the functional roles of the regions affected by major depressive disorder and/or social anxiety disorder. RESULTS In total, 34 studies on major depressive disorder with 2873 participants, and 10 studies on social anxiety disorder with 1004 subjects were included. Gray matter volume conjunction analysis showed that the right parahippocampal gyrus region, especially the amygdala, was smaller in patients compared to healthy controls. The contrast analysis of major depressive disorder and social anxiety disorder revealed lower gray matter volume in the right lentiform nucleus and medial frontal gyrus in social anxiety disorder and lower gray matter volume in the left parahippocampal gyrus in major depressive disorder. Behavioral analysis showed that regions with lower gray matter volume in social anxiety disorder are strongly associated with negative emotional processes. CONCLUSIONS The shared and unique patterns of gray matter volume abnormalities in patients with major depressive and social anxiety disorder may be linked to the underlying neuropathogenesis of these mental illnesses and provide potential biomarkers. PROSPERO registration number: CRD42021277546.
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Affiliation(s)
- Junquan Liang
- Shenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, 518101, Guangdong, China
- The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, Guangdong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Qiaoyun Yu
- Jingzhou Traditional Chinese Medicine Hospital, Jingzhou, Hubei, China
| | - Yuchen Liu
- Shenzhen Luohu District Hospital of TCM, Shenzhen, Guangdong, China
| | - Yidan Qiu
- Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, Guangdong, China
| | - Rundong Tang
- Shenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, 518101, Guangdong, China
| | - Luda Yan
- Shenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, 518101, Guangdong, China
| | - Peng Zhou
- Shenzhen Bao'an Chinese Medicine Hospital, The Seventh Clinical Medical School of Guangzhou University of Chinese Medicine, Shenzhen, 518101, Guangdong, China.
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Xu S, Yang L. Diagnosis and treatment status of suprasellar optic pathway cavernous malformations. J Int Med Res 2023; 51:3000605231219167. [PMID: 38147640 PMCID: PMC10752090 DOI: 10.1177/03000605231219167] [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: 07/11/2023] [Accepted: 11/17/2023] [Indexed: 12/28/2023] Open
Abstract
Cerebral cavernous malformations constitute a subtype of cerebral vascular malformation typically located in the cerebral cortex. However, their occurrence in the suprasellar optic pathway is relatively rare. There is some uncertainty surrounding the clinical diagnostic methods and optimal treatment strategies specific to suprasellar optic pathway cavernous malformations. In this narrative review, we retrospectively analyzed relevant literature related to suprasellar visual pathway cavernous malformations. We conducted a study involving 90 patients who were postoperatively diagnosed with cavernous malformations, including the 16-year-old male patient mentioned in this article. We have summarized crucial clinical data, including the patient age distribution, sex ratio, lesion locations, primary symptoms, and surgical approaches. The comprehensive analysis of this clinical information underscores the critical importance of timely intervention in relieving symptoms and improving neurological deficits in affected patients. These findings provide valuable guidance and insight for clinical practitioners and researchers dealing with this specific medical condition.
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Affiliation(s)
- Songbai Xu
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, Jilin, P.R. China
| | - Liu Yang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, Jilin, P.R. China
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Shushanyan R, Grigoryan A, Abgaryan T, Karapetyan A. Histological and cytochemical analysis of the brain under conditions of hypobaric hypoxia-induced oxygen deficiency in albino rats. Acta Histochem 2023; 125:152114. [PMID: 37980852 DOI: 10.1016/j.acthis.2023.152114] [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: 06/25/2023] [Revised: 11/01/2023] [Accepted: 11/03/2023] [Indexed: 11/21/2023]
Abstract
High altitude sickness is a life-threatening disease that occurs among acclimatized individuals working or living at a high altitude accompanied by hypobaric hypoxia exposure. The prolonged influence of hypobaric hypoxia on the brain may trigger neuronal damage and cell death due to an oxygen deficiency. The purpose of the current study was to investigate the histomorphological changes in the hippocampus, cerebral cortex, cerebellar cortex, and striatum of the rat's brain following chronic hypobaric hypoxia. Fourteen albino rats were used for this investigation. The animals were exposed to chronic hypobaric hypoxia in the special decompression chamber at an altitude of 7000 m for 7 days. The histological analysis was conducted via toluidine staining and silver impregnation. DNA damage and cell apoptosis were assessed via Feulgen staining. The histochemical assessment revealed increased dark neurons in the hippocampus with cell swelling. Silver impregnation showed increased argyrophilic neurons in the cerebellar cortex, striatum, CA1 subfield of the hippocampus, and cerebral cortex. The cytochemical analysis determined the increased apoptotic cells with hyperchromatic condensation and pyknosis in the hippocampus subfields and cerebral cortex. In addition, it has been observed that hypoxia has resulted in small hemorrhages and perivascular edema within the cerebellar and cerebral cortex. The results indicate brain injury observed in the various parts of the brain towards hypobaric hypoxia, however, the hippocampus showed greater vulnerability against hypoxic exposure in comparison to the striatum, cerebellum, and cerebral cortex. These changes support our insights regarding brain intolerance under conditions of hypoxia-induced oxygen deficiency and its histomorphological manifestations.
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Affiliation(s)
- Ruzanna Shushanyan
- Department of Human and Animal Physiology, Yerevan State University, Yerevan, Armenia.
| | - Anna Grigoryan
- Department of Human and Animal Physiology, Yerevan State University, Yerevan, Armenia.
| | - Tamara Abgaryan
- Department of Human and Animal Physiology, Yerevan State University, Yerevan, Armenia.
| | - Anna Karapetyan
- Department of Human and Animal Physiology, Yerevan State University, Yerevan, Armenia.
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Gao J, Jiang R, Tang X, Chen J, Yu M, Zhou C, Wang X, Zhang H, Huang C, Yang Y, Zhang X, Cui Z, Zhang X. A neuromarker for deficit syndrome in schizophrenia from a combination of structural and functional magnetic resonance imaging. CNS Neurosci Ther 2023; 29:3774-3785. [PMID: 37288482 PMCID: PMC10651988 DOI: 10.1111/cns.14297] [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: 01/09/2023] [Revised: 05/26/2023] [Accepted: 05/26/2023] [Indexed: 06/09/2023] Open
Abstract
AIM Deficit schizophrenia (DS), defined by primary and enduring negative symptoms, has been proposed as a promising homogeneous subtype of schizophrenia. It has been demonstrated that unimodal neuroimaging characteristics of DS were different from non-deficit schizophrenia (NDS), however, whether multimodal-based neuroimaging features could identify deficit syndrome remains to be determined. METHODS Functional and structural multimodal magnetic resonance imaging of DS, NDS and healthy controls were scanned. Voxel-based features of gray matter volume, fractional amplitude of low-frequency fluctuations, and regional homogeneity were extracted. The support vector machine classification models were constructed using these features separately and jointly. The most discriminative features were defined as the first 10% of features with the greatest weights. Moreover, relevance vector regression was applied to explore the predictive values of these top-weighted features in predicting negative symptoms. RESULTS The multimodal classifier achieved a higher accuracy (75.48%) compared with the single modal model in distinguishing DS from NDS. The most predictive brain regions were mainly located in the default mode and visual networks, exhibiting differences between functional and structural features. Further, the identified discriminative features significantly predicted scores of diminished expressivity factor in DS but not NDS. CONCLUSIONS The present study demonstrated that local properties of brain regions extracted from multimodal imaging data could distinguish DS from NDS with a machine learning-based approach and confirmed the relationship between distinctive features and the negative symptoms subdomain. These findings may improve the identification of potential neuroimaging signatures and improve the clinical assessment of the deficit syndrome.
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Affiliation(s)
- Ju Gao
- Institute of Mental HealthSuzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow UniversitySuzhouChina
- Department of Geriatric PsychiatryNanjing Brain Hospital Affiliated to Nanjing Medical UniversityNanjingChina
| | - Rongtao Jiang
- Department of Radiology & Biomedical ImagingYale School of MedicineNew HavenConnecticutUSA
| | - Xiaowei Tang
- Department of PsychiatryWutaishan Hospital of YangzhouYangzhouChina
| | - Jiu Chen
- Department of Geriatric PsychiatryNanjing Brain Hospital Affiliated to Nanjing Medical UniversityNanjingChina
| | - Miao Yu
- Department of Geriatric PsychiatryNanjing Brain Hospital Affiliated to Nanjing Medical UniversityNanjingChina
| | - Chao Zhou
- Department of Geriatric PsychiatryNanjing Brain Hospital Affiliated to Nanjing Medical UniversityNanjingChina
| | - Xiang Wang
- Medical Psychological Institute of the Second Xiangya HospitalChangshaChina
| | - Hongying Zhang
- Department of RadiologySubei People's Hospital of Jiangsu ProvinceYangzhouChina
| | - Chengbing Huang
- Department of Geriatric PsychiatryNanjing Brain Hospital Affiliated to Nanjing Medical UniversityNanjingChina
- Department of PsychiatryHuai'an No. 3 People's HospitalHuai'anChina
| | - Yong Yang
- Institute of Mental HealthSuzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow UniversitySuzhouChina
| | - Xiaobin Zhang
- Institute of Mental HealthSuzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow UniversitySuzhouChina
| | - Zaixu Cui
- Chinese Institute for Brain ResearchBeijingChina
| | - Xiangrong Zhang
- Department of Geriatric PsychiatryNanjing Brain Hospital Affiliated to Nanjing Medical UniversityNanjingChina
- Department of PsychiatryThe Affiliated Xuzhou Oriental Hospital of Xuzhou Medical UniversityXuzhouChina
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Colato E, Prados F, Stutters J, Bianchi A, Narayanan S, Arnold DL, Wheeler-Kingshott C, Barkhof F, Ciccarelli O, Chard DT, Eshaghi A. Networks of microstructural damage predict disability in multiple sclerosis. J Neurol Neurosurg Psychiatry 2023; 94:992-1003. [PMID: 37468305 DOI: 10.1136/jnnp-2022-330203] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 06/13/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Network-based measures are emerging MRI markers in multiple sclerosis (MS). We aimed to identify networks of white (WM) and grey matter (GM) damage that predict disability progression and cognitive worsening using data-driven methods. METHODS We analysed data from 1836 participants with different MS phenotypes (843 in a discovery cohort and 842 in a replication cohort). We calculated standardised T1-weighted/T2-weighted (sT1w/T2w) ratio maps in brain GM and WM, and applied spatial independent component analysis to identify networks of covarying microstructural damage. Clinical outcomes were Expanded Disability Status Scale worsening confirmed at 24 weeks (24-week confirmed disability progression (CDP)) and time to cognitive worsening assessed by the Symbol Digit Modalities Test (SDMT). We used Cox proportional hazard models to calculate predictive value of network measures. RESULTS We identified 8 WM and 7 GM sT1w/T2w networks (of regional covariation in sT1w/T2w measures) in both cohorts. Network loading represents the degree of covariation in regional T1/T2 ratio within a given network. The loading factor in the anterior corona radiata and temporo-parieto-frontal components were associated with higher risks of developing CDP both in the discovery (HR=0.85, p<0.05 and HR=0.83, p<0.05, respectively) and replication cohorts (HR=0.84, p<0.05 and HR=0.80, p<0.005, respectively). The decreasing or increasing loading factor in the arcuate fasciculus, corpus callosum, deep GM, cortico-cerebellar patterns and lesion load were associated with a higher risk of developing SDMT worsening both in the discovery (HR=0.82, p<0.01; HR=0.87, p<0.05; HR=0.75, p<0.001; HR=0.86, p<0.05 and HR=1.27, p<0.0001) and replication cohorts (HR=0.82, p<0.005; HR=0.73, p<0.0001; HR=0.80, p<0.005; HR=0.85, p<0.01 and HR=1.26, p<0.0001). CONCLUSIONS GM and WM networks of microstructural changes predict disability and cognitive worsening in MS. Our approach may be used to identify patients at greater risk of disability worsening and stratify cohorts in treatment trials.
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Affiliation(s)
- Elisa Colato
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Ferran Prados
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- e-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Jonathan Stutters
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Alessia Bianchi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Douglas L Arnold
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Claudia Wheeler-Kingshott
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, location Vrije Universiteit, Amsterdam, Netherlands
- Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Declan T Chard
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Arman Eshaghi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
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Zhang X, Zhong Y, He K. The causal effects between selenium levels and the brain cortical structure: A two-sample Mendelian randomization study. Brain Behav 2023; 13:e3296. [PMID: 37904336 PMCID: PMC10726828 DOI: 10.1002/brb3.3296] [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: 06/26/2023] [Revised: 10/03/2023] [Accepted: 10/12/2023] [Indexed: 11/01/2023] Open
Abstract
Extensive research has demonstrated the critical role of selenium (Se) and selenoproteins in brain function and cognition. However, the impact of Se on brain cortical structure remains enigmatic. Therefore, this study used Mendelian randomization (MR) analysis to investigate the causal effect between Se levels and brain cortical structure. METHODS This study utilizes 11 genetic variants associated with Se level variations, extracted from a large-scale genome-wide association study (GWAS) encompassed circulating Se levels (n = 5477) and toenail Se levels (n = 4162) in the European population. Outcome data were sourced from the summary statistics of the ENIGMA Consortium, comprising GWAS data from 51,666 individuals. The variables include cortical surface area (SA), thickness (TH) at the global level, and 34 functional cortical regions evaluated by magnetic resonance imaging. The inverse-variance-weighted method was used as the primary estimate. Additionally, sensitivity analyses were conducted to detect potential violations of assumptions underlying MR. RESULTS At the global level, Se levels were not correlated with SA but showed a significant negative correlation with TH (β = -0.00485 mm, SE = 0.00192, p = .0115). Heterogeneity was observed across different brain regions, with positive correlations found between Se levels and the TH of the parahippocampal gyrus, superior frontal gyrus, and frontal pole, whereas negative correlations were found with the TH of the inferior parietal lobe and middle temporal lobe. Regarding SA, Se levels exhibit positive correlations with the pars triangularis, caudal anterior cingulate, inferior parietal lobe, and banks of the superior temporal sulcus. Conversely, negative correlations were observed with the medial orbitofrontal cortex, posterior cingulate gyrus, insula, and the middle, superior, and transverse gyrus of the temporal lobe. No pleiotropy was detected. RESULTS This MR study indicated that Se levels causally influence the brain cortical structure.
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Affiliation(s)
- Xiaowei Zhang
- Department of NeurosurgeryThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouChina
| | - Yuqing Zhong
- The First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouChina
| | - Kejun He
- Department of NeurosurgeryThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouChina
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Ge J, Jiao X, Li H. MicroRNA-126-3P targets PIK3R2 to ameliorate autophagy and apoptosis of cortex in hypoxia-reoxygenation treated neonatal rats. Cell Mol Biol (Noisy-le-grand) 2023; 69:210-217. [PMID: 38063094 DOI: 10.14715/cmb/2023.69.12.34] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Indexed: 12/18/2023]
Abstract
Here, we explored a possible mechanism of microRNA-126-3p (miR-126-3p) on neonatal rats with hypoxia-reoxygenation injury (HI). After administering HI to newborn Sprague-Dawley rats, the expression of miR-126-3p in the brain injury was assessed by RT-PCR. A miR-126-3p mimic and inhibitor were treated in the HI neonatal rats. The water maze test, TTC, HE, Nissl and TUNEL staining were separately implemented to test the effects of miR-126-3p on the HI-treated neonatal rats. At the same time, the phosphoinositide-3-kinase regulatory subunit 2 (PIK3R2) expression in the damaged cortex region was analyzed. In vitro, cortical neurons were cultured and treated with oxygen and glucose deprivation (OGD), then transfected miR-126-3p mimic, PIK3R2 overexpression lentivirus vector or silence of PIK3R2. The cell viability was observed by CCK-8. The autophagy of neurons was detected by acridine orange staining. In contrast to the sham-operated rats, the miR-126-3p expression significantly decreased, but PIK3R2 expression markedly rose in the cortex of HI rats. Injection of miR-126-3p mimic raised the learning and memory abilities through down-regulating the cerebral ischemic area, improving pathological damage of the cortex, reducing the neurons apoptosis of the cortex and down-regulating the autophagy-related and apoptosis-related proteins. Overexpression of PIK3R2, a miR-126-3p target, may reduce cell viability and boost autophagy and apoptosis. Silence of PIK3R2 promoted cell viability and inhibited cell apoptosis and autophagy. The consequences of miR-126-3p were comparable to those of PIK3R2 silencing. A new therapeutic target for HI injury in newborn rats is provided by the overexpression of miR-126-3p, which inhibits autophagy and death of cortical neurons by targeting PIK3R2 in HI-treated neonatal rats.
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Affiliation(s)
- Jingjing Ge
- Pediatric Internal Medicine, Yantai Yuhuangding Hospital, Yantai 264000, Shandong, China.
| | - Xiaoling Jiao
- Pediatric Internal Medicine, Yantai Yuhuangding Hospital, Yantai 264000, Shandong, China.
| | - Hui Li
- Pediatric Internal Medicine, Yantai Yuhuangding Hospital, Yantai 264000, Shandong, China.
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Du C, Dang M, Chen K, Chen Y, Zhang Z. Divergent brain regional atrophy and associated fiber disruption in amnestic and non-amnestic MCI. Alzheimers Res Ther 2023; 15:199. [PMID: 37957768 PMCID: PMC10642051 DOI: 10.1186/s13195-023-01335-1] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 10/17/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND Understanding the pathological characteristics of various mild cognitive impairment (MCI) subtypes is crucial for the differential diagnosis of dementia. The purpose of this study was to feature divergent symptom-deficit profiles in amnestic MCI (aMCI) and non-amnestic MCI (naMCI). METHODS T1 and DTI MRI data from a total of 158 older adults with 50 normal controls, 56 aMCI, and 52 naMCI were included. The voxel-wise gray matter volumes and the number of seed-based white matter fiber bundles were compared among these three groups. Furthermore, correlation and mediation analyses between the neuroimaging indices and cognitive measures were performed. RESULTS The aMCI with specific memory abnormalities was characterized by volumetric atrophy of the left hippocampus but not by damage in the linked white matter fiber bundles. Conversely, naMCI was characterized by both the altered volume of the right inferior frontal gyrus and the significant damage to fiber bundles traversing the region in all three directions, not only affecting fibers around the atrophied area but also distant fibers. Mediation analyses of gray matter-white matter-cognition showed that gray matter atrophy affects the number of fiber bundles and further affects attention and executive function. Meanwhile, fiber bundle damage also affects gray matter volume, which further affects visual processing and language. CONCLUSIONS The divergent structural damage patterns of the MCI subtypes and cognitive dysfunctions highlight the importance of detailed differential diagnoses in the early stages of pathological neurodegenerative diseases to deepen the understanding of dementia subtypes and inform targeted early clinical interventions.
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Affiliation(s)
- Chao Du
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing, 100875, China
- Research Institute of Intelligent and Complex Systems, Fudan University, Shanghai, 200433, China
| | - Mingxi Dang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing, 100875, China
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ, 85006, USA
- Arizona State University, Temple, AZ, 85281, USA
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
- Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing, 100875, China.
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
- Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing, 100875, China.
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Whitlock JH, Soelter TM, Howton TC, Wilk EJ, Oza VH, Lasseigne BN. Cell-type-specific gene expression and regulation in the cerebral cortex and kidney of atypical Setbp1 S858R Schinzel Giedion Syndrome mice. J Cell Mol Med 2023; 27:3565-3577. [PMID: 37872881 PMCID: PMC10660642 DOI: 10.1111/jcmm.18001] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/27/2023] [Accepted: 10/05/2023] [Indexed: 10/25/2023] Open
Abstract
Schinzel Giedion Syndrome (SGS) is an ultra-rare autosomal dominant Mendelian disease presenting with abnormalities spanning multiple organ systems. The most notable phenotypes involve severe developmental delay, progressive brain atrophy, and drug-resistant seizures. SGS is caused by spontaneous variants in SETBP1, which encodes for the epigenetic hub SETBP1 transcription factor (TF). SETBP1 variants causing classical SGS cluster at the degron, disrupting SETBP1 protein degradation and resulting in toxic accumulation, while those located outside cause milder atypical SGS. Due to the multisystem phenotype, we evaluated gene expression and regulatory programs altered in atypical SGS by snRNA-seq of the cerebral cortex and kidney of Setbp1S858R heterozygous mice (corresponds to the human likely pathogenic SETBP1S867R variant) compared to matched wild-type mice by constructing cell-type-specific regulatory networks. Setbp1 was differentially expressed in excitatory neurons, but known SETBP1 targets were differentially expressed and regulated in many cell types. Our findings suggest molecular drivers underlying neurodevelopmental phenotypes in classical SGS also drive atypical SGS, persist after birth, and are present in the kidney. Our results indicate SETBP1's role as an epigenetic hub leads to cell-type-specific differences in TF activity, gene targeting, and regulatory rewiring. This research provides a framework for investigating cell-type-specific variant impact on gene expression and regulation.
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Affiliation(s)
- Jordan H. Whitlock
- Department of Cell, Developmental and Integrative Biology, Heersink School of MedicineThe University of Alabama at BirminghamBirminghamAlabamaUSA
| | - Tabea M. Soelter
- Department of Cell, Developmental and Integrative Biology, Heersink School of MedicineThe University of Alabama at BirminghamBirminghamAlabamaUSA
| | - Timothy C. Howton
- Department of Cell, Developmental and Integrative Biology, Heersink School of MedicineThe University of Alabama at BirminghamBirminghamAlabamaUSA
| | - Elizabeth J. Wilk
- Department of Cell, Developmental and Integrative Biology, Heersink School of MedicineThe University of Alabama at BirminghamBirminghamAlabamaUSA
| | - Vishal H. Oza
- Department of Cell, Developmental and Integrative Biology, Heersink School of MedicineThe University of Alabama at BirminghamBirminghamAlabamaUSA
| | - Brittany N. Lasseigne
- Department of Cell, Developmental and Integrative Biology, Heersink School of MedicineThe University of Alabama at BirminghamBirminghamAlabamaUSA
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