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Van Hoornweder S, Geraerts M, Verstraelen S, Nuyts M, Caulfield KA, Meesen R. Differences in scalp-to-cortex tissues across age groups, sexes and brain regions: Implications for neuroimaging and brain stimulation techniques. Neurobiol Aging 2024; 138:45-62. [PMID: 38531217 DOI: 10.1016/j.neurobiolaging.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 02/20/2024] [Accepted: 02/21/2024] [Indexed: 03/28/2024]
Abstract
Aging affects the scalp-to-cortex distance (SCD) and the comprising tissues. This is crucial for noninvasive neuroimaging and brain stimulation modalities as they rely on traversing from the scalp to the cortex or vice versa. The specific relationship between aging and these tissues has not been comprehensively investigated. We conducted a study on 250 younger and older adults to examine age-related differences in SCD and its constituent tissues. We identified region-specific differences in tissue thicknesses related to age and sex. Older adults exhibit larger SCD in the frontocentral regions compared to younger adults. Men exhibit greater SCD in the inferior scalp regions, while women show similar-to-greater SCD values in regions closer to the vertex compared to men. Younger adults and men have thicker soft tissue layers, whereas women and older adults exhibit thicker compact bone layers. CSF is considerably thicker in older adults, particularly in men. These findings emphasize the need to consider age, sex, and regional differences when interpreting SCD and its implications for noninvasive neuroimaging and brain stimulation.
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Affiliation(s)
- Sybren Van Hoornweder
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium.
| | - Marc Geraerts
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium
| | - Stefanie Verstraelen
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium
| | - Marten Nuyts
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium
| | - Kevin A Caulfield
- Brain Stimulation Laboratory, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
| | - Raf Meesen
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium; Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
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2
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Ayyash S, Davis AD, Alders GL, MacQueen G, Strother SC, Hassel S, Zamyadi M, Arnott SR, Harris JK, Lam RW, Milev R, Müller DJ, Kennedy SH, Rotzinger S, Frey BN, Minuzzi L, Hall GB. Assessing remission in major depressive disorder using a functional-structural data fusion pipeline: A CAN-BIND-1 study. IBRO Neurosci Rep 2024; 16:135-146. [PMID: 38293679 PMCID: PMC10826332 DOI: 10.1016/j.ibneur.2023.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 12/30/2023] [Indexed: 02/01/2024] Open
Abstract
Neural network-level changes underlying symptom remission in major depressive disorder (MDD) are often studied from a single perspective. Multimodal approaches to assess neuropsychiatric disorders are evolving, as they offer richer information about brain networks. A FATCAT-awFC pipeline was developed to integrate a computationally intense data fusion method with a toolbox, to produce a faster and more intuitive pipeline for combining functional connectivity with structural connectivity (denoted as anatomically weighted functional connectivity (awFC)). Ninety-three participants from the Canadian Biomarker Integration Network for Depression study (CAN-BIND-1) were included. Patients with MDD were treated with 8 weeks of escitalopram and adjunctive aripiprazole for another 8 weeks. Between-group connectivity (SC, FC, awFC) comparisons contrasted remitters (REM) with non-remitters (NREM) at baseline and 8 weeks. Additionally, a longitudinal study analysis was performed to compare connectivity changes across time for REM, from baseline to week-8. Association between cognitive variables and connectivity were also assessed. REM were distinguished from NREM by lower awFC within the default mode, frontoparietal, and ventral attention networks. Compared to REM at baseline, REM at week-8 revealed increased awFC within the dorsal attention network and decreased awFC within the frontoparietal network. A medium effect size was observed for most results. AwFC in the frontoparietal network was associated with neurocognitive index and cognitive flexibility for the NREM group at week-8. In conclusion, the FATCAT-awFC pipeline has the benefit of providing insight on the 'full picture' of connectivity changes for REMs and NREMs while making for an easy intuitive approach.
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Affiliation(s)
- Sondos Ayyash
- School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Andrew D Davis
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
- Rotman Research Institute, Baycrest, Toronto, Ontario, Canada
| | - Gésine L Alders
- Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada
| | - Glenda MacQueen
- Hotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Ontario, Canada
| | - Stefanie Hassel
- Hotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest, Toronto, Ontario, Canada
| | | | - Jacqueline K Harris
- Department of Computer Science, University of Alberta, Edmonton, Alberta, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roumen Milev
- Departments of Psychiatry and Psychology, Queen's University, Providence Care Hospital, Kingston, Ontario, Canada
| | - Daniel J Müller
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Sidney H Kennedy
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Centre for Mental Health, University Health Network, Toronto, Ontario, Canada
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
- Centre for Depression and Suicide Studies, and Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Susan Rotzinger
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
- Centre for Depression and Suicide Studies, and Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada
- Mood Disorders Treatment and Research Centre and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, Ontario, Canada
| | - Luciano Minuzzi
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada
- Mood Disorders Treatment and Research Centre and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, Ontario, Canada
| | - Geoffrey B Hall
- School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada
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Mohammadi H, Ariaei A, Ghobadi Z, Gorgich EAC, Rustamzadeh A. Which neuroimaging and fluid biomarkers method is better in theranostic of Alzheimer's disease? An umbrella review. IBRO Neurosci Rep 2024; 16:403-417. [PMID: 38497046 PMCID: PMC10940808 DOI: 10.1016/j.ibneur.2024.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 02/24/2024] [Indexed: 03/19/2024] Open
Abstract
Biomarkers are measured to evaluate physiological and pathological processes as well as responses to a therapeutic intervention. Biomarkers can be classified as diagnostic, prognostic, predictor, clinical, and therapeutic. In Alzheimer's disease (AD), multiple biomarkers have been reported so far. Nevertheless, finding a specific biomarker in AD remains a major challenge. Three databases, including PubMed, Web of Science, and Scopus were selected with the keywords of Alzheimer's disease, neuroimaging, biomarker, and blood. The results were finalized with 49 potential CSF/blood and 35 neuroimaging biomarkers. To distinguish normal from AD patients, amyloid-beta42 (Aβ42), plasma glial fibrillary acidic protein (GFAP), and neurofilament light (NFL) as potential biomarkers in cerebrospinal fluid (CSF) as well as the serum could be detected. Nevertheless, most of the biomarkers fairly change in the CSF during AD, listed as kallikrein 6, virus-like particles (VLP-1), galectin-3 (Gal-3), and synaptotagmin-1 (Syt-1). From the neuroimaging aspect, atrophy is an accepted biomarker for the neuropathologic progression of AD. In addition, Magnetic resonance spectroscopy (MRS), diffusion weighted imaging (DWI), diffusion tensor imaging (DTI), tractography (DTT), positron emission tomography (PET), and functional magnetic resonance imaging (fMRI), can be used to detect AD. Using neuroimaging and CSF/blood biomarkers, in combination with artificial intelligence, it is possible to obtain information on prognosis and follow-up on the different stages of AD. Hence physicians could select the suitable therapy to attenuate disease symptoms and follow up on the efficiency of the prescribed drug.
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Affiliation(s)
- Hossein Mohammadi
- Department of Bioimaging, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences (MUI), Isfahan, Islamic Republic of Iran
| | - Armin Ariaei
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Zahra Ghobadi
- Advanced Medical Imaging Ward, Pars Darman Medical Imaging Center, Karaj, Islamic Republic of Iran
| | - Enam Alhagh Charkhat Gorgich
- Department of Anatomy, School of Medicine, Iranshahr University of Medical Sciences, Iranshahr, Islamic Republic of Iran
| | - Auob Rustamzadeh
- Cellular and Molecular Research Center, Research Institute for Non-communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
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Romero-Martínez Á, Beser-Robles M, Cerdá-Alberich L, Aparici F, Martí-Bonmatí L, Sarrate-Costa C, Lila M, Moya-Albiol L. The contribution of brain volume to explain autonomous imbalance during recovery from acute stress in batterers. Brain Struct Funct 2024; 229:797-808. [PMID: 38441643 DOI: 10.1007/s00429-024-02772-w] [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: 11/17/2023] [Accepted: 01/30/2024] [Indexed: 04/10/2024]
Abstract
AIM Many authors have suggested that intimate partner violence (IPV) perpetrators present an imbalance between both branches of the autonomous nervous system when coping with acute stress. Concretely, there is a predominance of the sympathetic branches over the parasympathetic ones when recovering from stress. This imbalance can be explained by their tendency toward anger rumination, and more concretely, by their focus on thoughts of revenge during this period. Unfortunately, there is a gap in the scientific literature in terms of using magnetic resonance imaging (MRI) techniques to assess which brain structures would explain this tendency of IPV perpetrators when coping with acute stress. METHOD The main objective of this study was to assess whether the gray matter volume (GMV) of relevant brain structures, signaled in previous scientific literature, moderates the association between thoughts of revenge and sympathetic activation during the recovery period, based on skin conductance levels (SCL) after being exposed to stress, in a group of IPV perpetrators (n = 58) and non-violent men (n = 61). RESULTS This study highlighted that the GMV of the left nucleus accumbens, right lobules of the cerebellum, and inferior temporal gyrus in IPV perpetrators moderated the association between thoughts of revenge and SCL during the recovery period. Accordingly, the higher the thoughts of revenge, the higher the sympathetic predominance (or higher SCL levels), especially among IPV perpetrators with the lowest GMV of these brain structures. Nonetheless, those variables were unrelated in the control group. CONCLUSIONS Our study highlights the involvement of certain brain structures and how they explain the tendency of some IPV perpetrators to ruminate anger or, more precisely, to focus on thoughts of revenge when they recover from acute stress. These results reinforce the need to incorporate neuroimaging techniques during screening processes to properly understand how IPV perpetrators deal with stress, which in turn helps target their needs and design concrete intervention modules.
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Affiliation(s)
- Ángel Romero-Martínez
- Department of Psychobiology, University of Valencia, Avenida Blasco Ibañez, 21, 46010, Valencia, Spain.
| | - María Beser-Robles
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, Valencia, Spain
| | - Leonor Cerdá-Alberich
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, Valencia, Spain
| | - Fernando Aparici
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, Valencia, Spain
| | - Luis Martí-Bonmatí
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, Valencia, Spain
| | - Carolina Sarrate-Costa
- Department of Psychobiology, University of Valencia, Avenida Blasco Ibañez, 21, 46010, Valencia, Spain
| | - Marisol Lila
- Department of Social Psychology, University of Valencia, Valencia, Spain
| | - Luis Moya-Albiol
- Department of Psychobiology, University of Valencia, Avenida Blasco Ibañez, 21, 46010, Valencia, Spain
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Holleman J, Daniilidou M, Kåreholt I, Aspö M, Hagman G, Udeh-Momoh CT, Spulber G, Kivipelto M, Solomon A, Matton A, Sindi S. Diurnal cortisol, neuroinflammation, and neuroimaging visual rating scales in memory clinic patients. Brain Behav Immun 2024; 118:499-509. [PMID: 38503394 DOI: 10.1016/j.bbi.2024.03.024] [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: 10/30/2023] [Revised: 02/18/2024] [Accepted: 03/16/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND Neuroinflammation is a hallmark of the Alzheimer's disease (AD) pathogenic process. Cortisol dysregulation may increase AD risk and is related to brain atrophy. This cross-sectional study aims to examine interactions of cortisol patterns and neuroinflammation markers in their association with neuroimaging correlates. METHOD 134 participants were recruited from the Karolinska University Hospital memory clinic (Stockholm, Sweden). Four visual rating scales were applied to magnetic resonance imaging or computed tomography scans: medial temporal lobe atrophy (MTA), global cortical atrophy (GCA), white matter lesions (WML), and posterior atrophy. Participants provided saliva samples for assessment of diurnal cortisol patterns, and underwent lumbar punctures for cerebrospinal fluid (CSF) sampling. Three cortisol measures were used: the cortisol awakening response, total daily output, and the ratio of awakening to bedtime levels. Nineteen CSF neuroinflammation markers were categorized into five composite scores: proinflammatory cytokines, other cytokines, angiogenesis markers, vascular injury markers, and glial activation markers. Ordinal logistic regressions were conducted to assess associations between cortisol patterns, neuroinflammation scores, and visual rating scales, and interactions between cortisol patterns and neuroinflammation scores in relation to visual rating scales. RESULT Higher levels of angiogenesis markers were associated with more severe WML. Some evidence was found for interactions between dysregulated diurnal cortisol patterns and greater neuroinflammation-related biomarkers in relation to more severe GCA and WML. No associations were found between cortisol patterns and visual rating scales. CONCLUSION This study suggests an interplay between diurnal cortisol patterns and neuroinflammation in relation to brain structure. While this cross-sectional study does not provide information on causality or temporality, these findings suggest that neuroinflammation may be involved in the relationship between HPA-axis functioning and AD.
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Affiliation(s)
- Jasper Holleman
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden.
| | - Makrina Daniilidou
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden; Division of Neurogeriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | - Ingemar Kåreholt
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden; Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Institute of Gerontology, School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Malin Aspö
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden; Theme Inflammation and Aging. Karolinska University Hospital, Stockholm, Sweden
| | - Göran Hagman
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden; Theme Inflammation and Aging. Karolinska University Hospital, Stockholm, Sweden
| | - Chinedu T Udeh-Momoh
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden; Ageing Epidemiology Research Unit (AGE), School of Public Health, Faculty of Medicine, Imperial College London, UK; Division of Public Health Sciences, Wake Forest University School of Medicine, North Carolina, USA; Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
| | - Gabriela Spulber
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden; Theme Inflammation and Aging. Karolinska University Hospital, Stockholm, Sweden
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden; Theme Inflammation and Aging. Karolinska University Hospital, Stockholm, Sweden; Ageing Epidemiology Research Unit (AGE), School of Public Health, Faculty of Medicine, Imperial College London, UK; Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Alina Solomon
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden; Theme Inflammation and Aging. Karolinska University Hospital, Stockholm, Sweden; Ageing Epidemiology Research Unit (AGE), School of Public Health, Faculty of Medicine, Imperial College London, UK; Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland
| | - Anna Matton
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden; Division of Neurogeriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Ageing Epidemiology Research Unit (AGE), School of Public Health, Faculty of Medicine, Imperial College London, UK
| | - Shireen Sindi
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Karolinska Vägen 37A - QA32, 171 64 Solna, Stockholm, Sweden; Ageing Epidemiology Research Unit (AGE), School of Public Health, Faculty of Medicine, Imperial College London, UK
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Ruffle JK, Gray RJ, Mohinta S, Pombo G, Kaul C, Hyare H, Rees G, Nachev P. Computational limits to the legibility of the imaged human brain. Neuroimage 2024; 291:120600. [PMID: 38569979 DOI: 10.1016/j.neuroimage.2024.120600] [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: 12/19/2023] [Revised: 03/08/2024] [Accepted: 03/31/2024] [Indexed: 04/05/2024] Open
Abstract
Our knowledge of the organisation of the human brain at the population-level is yet to translate into power to predict functional differences at the individual-level, limiting clinical applications and casting doubt on the generalisability of inferred mechanisms. It remains unknown whether the difficulty arises from the absence of individuating biological patterns within the brain, or from limited power to access them with the models and compute at our disposal. Here we comprehensively investigate the resolvability of such patterns with data and compute at unprecedented scale. Across 23 810 unique participants from UK Biobank, we systematically evaluate the predictability of 25 individual biological characteristics, from all available combinations of structural and functional neuroimaging data. Over 4526 GPU*hours of computation, we train, optimize, and evaluate out-of-sample 700 individual predictive models, including fully-connected feed-forward neural networks of demographic, psychological, serological, chronic disease, and functional connectivity characteristics, and both uni- and multi-modal 3D convolutional neural network models of macro- and micro-structural brain imaging. We find a marked discrepancy between the high predictability of sex (balanced accuracy 99.7%), age (mean absolute error 2.048 years, R2 0.859), and weight (mean absolute error 2.609Kg, R2 0.625), for which we set new state-of-the-art performance, and the surprisingly low predictability of other characteristics. Neither structural nor functional imaging predicted an individual's psychology better than the coincidence of common chronic disease (p < 0.05). Serology predicted chronic disease (p < 0.05) and was best predicted by it (p < 0.001), followed by structural neuroimaging (p < 0.05). Our findings suggest either more informative imaging or more powerful models will be needed to decipher individual level characteristics from the human brain. We make our models and code openly available.
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Affiliation(s)
- James K Ruffle
- Queen Square Institute of Neurology, University College London, London, United Kingdom.
| | - Robert J Gray
- Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Samia Mohinta
- Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Guilherme Pombo
- Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Chaitanya Kaul
- School of Computing Science, University of Glasgow, Glasgow, United Kingdom
| | - Harpreet Hyare
- Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Geraint Rees
- Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Parashkev Nachev
- Queen Square Institute of Neurology, University College London, London, United Kingdom.
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Masri A, Al Ryalat N, Hadidy A, Al-Shakkah AA, Ali M, Al Jaberi M, Shihadat R, Rayyan A, AlMasri M, Abunameh L. Enhancing Diagnostic Accuracy Through Neuroimaging Revisions in Pediatric Pseudotumor Cerebri Syndrome: A Cross-Sectional Study. Pediatr Neurol 2024; 154:36-43. [PMID: 38460444 DOI: 10.1016/j.pediatrneurol.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 01/20/2024] [Accepted: 02/13/2024] [Indexed: 03/11/2024]
Abstract
BACKGROUND This cross-sectional study aimed to report all neuroimaging findings suggestive of raised intracranial pressure in children with pseudotumor cerebri syndrome (PTCS), before and after re-review by two neuroradiologists. METHODS We included 48 children aged <18 years diagnosed with PTCS between 2016 and 2021. Clinical and radiological data were obtained from their medical files. Two neuroradiologists independently re-reviewed all neuroimages, and the average of their assessments was compared with the initial neuroimaging reports; an additional review was done to analyze inter- and intraclass correlation. RESULTS The initial neuroimaging reports showed under-reporting of findings, with only 26 of 48 (54.1%) patients identified with abnormal reports. After revision, the proportion of the reported findings increased to 44 of 48 (91.6%). Distention of the perioptic space was the most commonly reported finding after revision (36.5 of 48; 76%). Flattening of the posterior globe and empty sella were initially under-reported but improved after revision. Moreover, several findings suggestive of increased intracranial pressure not mandated by Friedman criteria were identified, such as narrowing of the Meckel cave, posterior displacement of the pituitary stalk, and narrowing of the cavernous sinus. Analysis of associations between neuroimaging findings and demographic and clinical characteristics yielded no statistically significant results. The inter- and intraclass correlation results demonstrated a significant agreement between raters and within each rater's assessment (P < 0.05). CONCLUSIONS This study highlights the impact of image revision in enhancing PTCS diagnosis. Intra- and interclass correlations underscore the reliability of the review process, emphasizing the importance of meticulous image analysis in clinical practice.
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Affiliation(s)
- Amira Masri
- Faculty of Medicine, Department of Pediatrics, Division of Child Neurology, The University of Jordan, Amman, Jordan.
| | - Nosaiba Al Ryalat
- Faculty of Medicine, Department of Radiology, The University of Jordan, Amman, Jordan
| | - Azmy Hadidy
- Faculty of Medicine, Department of Radiology, The University of Jordan, Amman, Jordan
| | | | - Majd Ali
- Faculty of Medicine, Depatrment of Pediatrics, The University of Jordan, Amman, Jordan
| | - Mira Al Jaberi
- Faculty of Medicine, Depatrment of Pediatrics, The University of Jordan, Amman, Jordan
| | - Raghad Shihadat
- Faculty of Medicine, Depatrment of Pediatrics, The University of Jordan, Amman, Jordan
| | - Abdallah Rayyan
- Faculty of Medicine, Depatrment of Pediatrics, The University of Jordan, Amman, Jordan
| | - Mohammad AlMasri
- Faculty of Medicine, Depatrment of Pediatrics, The University of Jordan, Amman, Jordan
| | - Lina Abunameh
- Faculty of Medicine, Depatrment of Pediatrics, The University of Jordan, Amman, Jordan
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8
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Morandini HAE, Watson PA, Barbaro P, Rao P. Brain iron concentration in childhood ADHD: A systematic review of neuroimaging studies. J Psychiatr Res 2024; 173:200-209. [PMID: 38547742 DOI: 10.1016/j.jpsychires.2024.03.035] [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: 10/31/2023] [Revised: 02/23/2024] [Accepted: 03/22/2024] [Indexed: 04/17/2024]
Abstract
Iron deficiency may play a role in the pathophysiology of Attention Deficit/Hyperactivity Disorder (ADHD). Due to its preponderant function in monoamine catecholamine and myelin synthesis, brain iron concentration may be of primary interest in the investigation of iron dysregulation in ADHD. This study reviewed current evidence of brain iron abnormalities in children and adolescents with ADHD using magnetic resonance imaging methods, such as relaxometry and quantitative susceptibility mapping, to assess brain iron estimates. The study was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A literature search was performed for studies published between January 1, 2008 and July 7, 2023 in Medline, Scopus and Proquest. Regions of interest, brain iron index values and phenotypical information were extracted from the relevant studies. Risk of bias was assessed using a modified version of the National Heart, Lung, and Blood Institute quality assessment tool. Seven cross-sectional studies comparing brain iron estimates in children with ADHD with neurotypical children were included. Significantly reduced brain iron content in medication-naïve children with ADHD was a consistent finding. Two studies found psychostimulant use may increase and normalize brain iron concentration in children with ADHD. The findings were consistent across the studies despite differing methodologies and may lay the early foundation for the recognition of a potential biomarker in ADHD, although longitudinal prospective neuroimaging studies using larger sample sizes are required. Lastly, the effects of iron supplementation on brain iron concentration in children with ADHD need to be elucidated.
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Affiliation(s)
- Hugo A E Morandini
- Complex Attention and Hyperactivity Disorders Service, Child and Adolescent Health Services, Perth, WA, Australia; Division of Psychiatry, UWA Medical School, Faculty of Health & Medical Sciences, The University of Western Australia, Australia.
| | - Prue A Watson
- Complex Attention and Hyperactivity Disorders Service, Child and Adolescent Health Services, Perth, WA, Australia
| | - Parma Barbaro
- Complex Attention and Hyperactivity Disorders Service, Child and Adolescent Health Services, Perth, WA, Australia
| | - Pradeep Rao
- Complex Attention and Hyperactivity Disorders Service, Child and Adolescent Health Services, Perth, WA, Australia; Division of Psychiatry, UWA Medical School, Faculty of Health & Medical Sciences, The University of Western Australia, Australia; Telethon Kids Institute, Perth, Australia
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9
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Abera MT, Fetene MB, Kassa NB, Yaynishet YA, Tefera TG, Hailu SS. Intraocular tuberculosis masquerading as ocular tumor: A case report. Radiol Case Rep 2024; 19:1949-1955. [PMID: 38434778 PMCID: PMC10909611 DOI: 10.1016/j.radcr.2024.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/04/2024] [Accepted: 02/06/2024] [Indexed: 03/05/2024] Open
Abstract
Tuberculosis is one of the most common pediatric problems, especially in the developing world. In spite of that, intraocular tuberculosis is a rare disease that can easily be confused with other noninfectious processes, even in regions where tuberculosis is rampant. Diagnosis is difficult, yet it is very important to provide effective antituberculosis treatment and avoid potentially sight-losing interventions. We present a case of a 2-year-old child with a positive contact history of tuberculosis who presented with progressively worsening seizures and constitutional symptoms for 6 months. Brain computed tomography revealed right frontotemporal region conglomerated ring-enhancing lesions with central necrosis consistent with tuberculosis. On the same scan, a calcified right retinal lesion with a contrast-enhancing soft tissue component was identified. A chest radiograph and abdominal sonography showed evidence of disseminated tuberculosis. Subsequently, antituberculosis treatment was initiated, and the right retinal lesion improved, thus leading to the imaging diagnosis of right intraocular tuberculosis. Early and accurate diagnosis of retinal tuberculosis is of paramount importance in avoiding potentially catastrophic interventions. Neuroimaging is a useful, noninvasive method to consider this difficult diagnosis and also for follow-up.
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Affiliation(s)
| | - Misganaw Badege Fetene
- Addis Ababa University, College of Health Sciences, Department of Radiology, Addis Ababa, Ethiopia
| | - Nibretu Bekele Kassa
- Addis Ababa University, College of Health Sciences, Department of Radiology, Addis Ababa, Ethiopia
| | - Yodit Abraham Yaynishet
- Addis Ababa University, College of Health Sciences, Department of Radiology, Addis Ababa, Ethiopia
| | - Tesfaye Gizaw Tefera
- Addis Ababa University, College of Health Sciences, Department of Radiology, Addis Ababa, Ethiopia
| | - Samuel Sisay Hailu
- Addis Ababa University, College of Health Sciences, Department of Radiology, Addis Ababa, Ethiopia
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10
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Kittleson AR, Woodward ND, Heckers S, Sheffield JM. The insula: Leveraging cellular and systems-level research to better understand its roles in health and schizophrenia. Neurosci Biobehav Rev 2024; 160:105643. [PMID: 38531518 DOI: 10.1016/j.neubiorev.2024.105643] [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: 01/09/2024] [Revised: 03/04/2024] [Accepted: 03/22/2024] [Indexed: 03/28/2024]
Abstract
Schizophrenia is a highly heterogeneous disorder characterized by a multitude of complex and seemingly non-overlapping symptoms. The insular cortex has gained increasing attention in neuroscience and psychiatry due to its involvement in a diverse range of fundamental human experiences and behaviors. This review article provides an overview of the insula's cellular and anatomical organization, functional and structural connectivity, and functional significance. Focusing on specific insula subregions and using knowledge gained from humans and preclinical studies of insular tracings in non-human primates, we review the literature and discuss the functional roles of each subregion, including in somatosensation, interoception, salience processing, emotional processing, and social cognition. Building from this foundation, we then extend these findings to discuss reported abnormalities of these functions in individuals with schizophrenia, implicating insular involvement in schizophrenia pathology. This review underscores the insula's vast role in the human experience and how abnormal insula structure and function could result in the wide-ranging symptoms observed in schizophrenia.
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Affiliation(s)
- Andrew R Kittleson
- Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN 37235, United States; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Neil D Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Julia M Sheffield
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
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11
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Nieto SJ, Grodin EN, Ray LA. Neural correlates of the addictions neuroclinical assessment (ANA) incentive salience factor among individuals with alcohol use disorder. Behav Brain Res 2024; 464:114926. [PMID: 38431152 DOI: 10.1016/j.bbr.2024.114926] [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: 11/09/2023] [Revised: 02/16/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024]
Abstract
The Addictions Neuroclinical Assessment (ANA) is a recently-developed framework offering a more holistic understanding of three neurofunctional and behavioral domains that reflect the neurobiological dysfunction seen in alcohol use disorder (AUD). While the ANA domains have been well-validated across independent laboratories, there is a critical need to identify neural markers that subserve the proposed neurofunctional domains. The current study involves secondary data analysis of a two-week experimental medication trial of ibudilast (50 mg BID). Forty-five non-treatment-seeking participants with AUD (17F / 28 M) completed a battery of validated behavioral assessments forming the basis of their incentive salience factor score, computed via factor analysis, as well as a functional neuroimaging (fMRI) task assessing their neural reactivity to visual alcohol cues after being on placebo or ibudilast for 7 days. General linear models were conducted to examine the relationship between incentive salience and neural alcohol cue-reactivity in the ventral and dorsal stratum. Whole-brain generalized linear model analyses were conducted to examine associations between neural alcohol cue-reactivity and incentive salience. Age, sex, medication, and smoking status were included as covariates. Incentive salience was not associated with cue-elicited activation in the dorsal or ventral striatum. Incentive salience was significantly positively correlated (p < 0.05) with alcohol cue-elicited brain activation in reward-learning and affective regions including the insula and posterior cingulate cortices, bilateral precuneus, and bilateral precentral gyri. The ANA incentive salience factor is reflected in brain circuitry important for reward learning and emotion processing. Identifying a sub-phenotype of AUD characterized by increased incentive salience to alcohol cues allows for precision medicine approaches, i.e. treatments specifically targeting craving and reward from alcohol use. This study serves as a preliminary bio-behavioral validation for the incentive salience factor of the ANA. Further studies validating the neural correlates of other ANA factors, as well as replication in larger samples, appear warranted.
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Affiliation(s)
- Steven J Nieto
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Erica N Grodin
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, USA
| | - Lara A Ray
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, USA.
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12
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Zhou B, Zhao Y, Wu X. Differences of individual gray matter networks between MCI patients who converted to AD within 3 Years and nonconverters. Heliyon 2024; 10:e28874. [PMID: 38623255 PMCID: PMC11016615 DOI: 10.1016/j.heliyon.2024.e28874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 03/24/2024] [Accepted: 03/26/2024] [Indexed: 04/17/2024] Open
Abstract
Objective Here we aimed to explore the differences in individual gray matter (GM) networks at baseline in mild cognitive impairment patients who converted to Alzheimer's disease (AD) within 3 years (MCI-C) and nonconverters (MCI-NC). Materials and methods Data from 461 MCI patients (180 MCI-C and 281 MCI-NC) were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI). For each subject, a GM network was constructed using 3D-T1 imaging and the Kullback-Leibler divergence method. Gradient and topological analyses of individual GM networks were performed, and partial correlations were calculated to evaluate relationships among network properties, cognitive function, and apolipoprotein E (APOE) €4 alleles. Subsequently, a support vector machine (SVM) model was constructed to discriminate the MCI-C and MCI-NC patients at baseline. Results The gradient analysis revealed that the principal gradient score distribution was more compressed in the MCI-C group than in the MCI-NC group, with scores for the left lingual gyrus, right fusiform gyrus and left middle temporal gyrus being increased in the MCI-C group (p < 0.05, FDR corrected). The topological analysis showed significant differences in nodal efficiency in four nodes between the two groups. Furthermore, the regional gradient scores or nodal efficiency were found to be significantly related to the neuropsychological test scores, and the left middle temporal gyrus gradient scores were positively associated with the number of APOE €4 alleles (r = 0.192, p = 0.002). Ultimately, the SVM model achieved a balanced accuracy of 79.4% in classifying MCI-C and MCI-NC patients (p < 0.001). Conclusion The whole-brain GM network hierarchy in the MCI-C group was more compressed than that in the MCI-NC group, suggesting more serious cognitive impairments in the MCI-C group. The left middle temporal gyrus gradient scores were related to both cognitive function and APOE €4 alleles, thus serving as potential biomarkers distinguishing MCI-C from MCI-NC at baseline.
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Affiliation(s)
- Baiwan Zhou
- Department of Radiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yueqi Zhao
- Department of Radiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaojia Wu
- Department of Radiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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13
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Signorile WJ, Mahajan A, Fulbright RK, Zubair AS. Comparative analysis of energy expenditure and costs in neuroimaging. J Neurol Sci 2024:123001. [PMID: 38616465 DOI: 10.1016/j.jns.2024.123001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 03/27/2024] [Accepted: 04/07/2024] [Indexed: 04/16/2024]
Affiliation(s)
- William J Signorile
- Department of Neurology, Yale University School of Medicine, New Haven, CT, United States of America.
| | - Amit Mahajan
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States of America
| | - Robert K Fulbright
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States of America
| | - Adeel S Zubair
- Department of Neurology, Yale University School of Medicine, New Haven, CT, United States of America
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14
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McGhee CA, Honari H, Siqueiros-Sanchez M, Serur Y, van Staalduinen EK, Stevenson D, Bruno JL, Raman MM, Green T. RASopathies influences on neuroanatomical variation in children. Biol Psychiatry Cogn Neurosci Neuroimaging 2024:S2451-9022(24)00103-4. [PMID: 38621478 DOI: 10.1016/j.bpsc.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 03/09/2024] [Accepted: 04/04/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND RASopathies are a group of disorders characterized by pathogenic mutations in the Ras-mitogen-activated protein kinase (Ras/MAPK) signaling pathway. Distinct pathogenic variants in genes encoding proteins in the Ras/MAPK pathway cause Noonan syndrome (NS) and neurofibromatosis type 1 (NF1), which are associated with increased risk for autism spectrum disorder (ASD) and attention deficit and hyperactivity disorder (ADHD). METHODS This study examines the effect RASopathies (NS and NF1) has on human neuroanatomy, specifically on surface area (SA), cortical thickness (CT), and subcortical volumes. We compared structural T1-weighted images, using vertex-based analysis for cortical measures and Desikan ROI parcellation for subcortical volumes on children with RASopathies (n=91, mean age = 8.81, SD = 2.12) to sex- and age-matched TD (n=74, mean age=9.07, SD = 1.77). RESULTS Compared to TD, RASopathies had convergent effects on SA and CT, exhibiting increased SA in the precentral gyrus, decreased SA in occipital regions, and thinner CT in the precentral gyrus. RASopathies exhibit divergent effects on subcortical volumes, with syndrome-specific influences from NS and NF1. Overall children with NS display decreased volumes in striatal and thalamic structures and children with NF1 display increased volumes in the hippocampus, amygdala, and thalamus. CONCLUSIONS Our study reveals the converging and diverging neuroanatomical effects of RASopathies on human neurodevelopment. The convergence of cortical effects on SA and CT indicates a shared influence of Ras/MAPK hyperactivation on the human brain. Therefore, considering these measures as objective outcome indicators for targeted treatments is imperative.
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Affiliation(s)
| | | | | | - Yaffa Serur
- Department of Psychiatry & Behavioral Sciences
| | | | | | | | | | - Tamar Green
- Department of Psychiatry & Behavioral Sciences
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15
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Nada MG, Almalki YE, Basha MAA, Metwally MI, Dessouky R, Radwan MHSS, Zaitoun MMA, Abdalla AAEHM, Bessar AAA, Tantwy EF, Assy MM, Dawoud BM, Hanna D, Gohary MM, Alduraibi SK, Lduraibi AK, Eldib DB, Khater HM, Sarhan NT, Hamed DE, Saadawy SF, Huneif MA, Abdelkhalik Basha AM, Libda YI. Insights Into MRI Neuroimaging Patterns of COVID-19 in Children: A Retrospective Comprehensive Analysis. Acad Radiol 2024:S1076-6332(24)00160-0. [PMID: 38614828 DOI: 10.1016/j.acra.2024.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/16/2024] [Accepted: 03/17/2024] [Indexed: 04/15/2024]
Abstract
RATIONALE AND OBJECTIVES Neurological complications associated with coronavirus disease (COVID-19) have been reported in children; however, data on neuroimaging findings remain limited. This study aimed to comprehensively examine neuroimaging patterns of COVID-19 in children and their relationship with clinical outcomes. MATERIALS AND METHODS This retrospective cross-sectional study involved reviewing the medical records and MRI scans of 95 children who developed new neurological symptoms within 2-4 weeks of clinical and laboratory confirmation of COVID-19. Patients were categorized into four groups based on guidelines approved by the Centers for Disease Control and Prevention (CDC). Initial brain/spinal MRI was performed. Images were reviewed by three blinded radiologists, and the findings were analyzed and categorized based on the observed patterns in the brain and spinal cord. Follow-up MRI was performed and analyzed to track lesion progression. RESULTS Encephalopathy was the most common neurological symptom (50.5%). The most common initial MRI involvement patterns were non-confluent multifocal hyperintense white matter (WM) lesions (36.8%) and ischemia (18.9%). Most patients who underwent follow-up MRI (n = 56) showed complete resolution (69.9%); however, some patients developed encephalomalacia and myelomalacia (23.2% and 7.1%, respectively). Non-confluent hyperintense WM lesions were associated with good outcomes (45.9%, P = 0.014), whereas ischemia and hemorrhage were associated with poor outcomes (44.1%, P < 0.001). CONCLUSION This study revealed diverse neuroimaging patterns in pediatric COVID-19 patients. Non-confluent WM lesions were associated with good outcomes, whereas ischemia and hemorrhage were associated with poorer prognoses. Understanding these patterns is crucial for their early detection, accurate diagnosis, and appropriate management.
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Affiliation(s)
- Mohamad Gamal Nada
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Yassir Edrees Almalki
- Division of Radiology, Department of Internal Medicine, Medical College, Najran University, Najran, Kingdom of Saudi Arabia
| | | | - Maha Ibrahim Metwally
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Riham Dessouky
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | | | - Mohamed M A Zaitoun
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | | | - Ahmed A A Bessar
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Engy Fathy Tantwy
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Mostafa Mohamad Assy
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Bassant Mahmoud Dawoud
- Department of Diagnostic Radiology, Faculty of Human Medicine, Tanta University, Tanta, Egypt
| | - Diana Hanna
- Pediatric Department, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Mahmoud M Gohary
- Pediatric Department, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Sharifa Khalid Alduraibi
- Department of Radiology, College of Medicine, Qassim University, Buraidah, Kingdom of Saudi Arabia
| | - Alaa K Lduraibi
- Department of Radiology, College of Medicine, Qassim University, Buraidah, Kingdom of Saudi Arabia
| | - Diaa Bakry Eldib
- Department of Radiology, Faculty of Human Medicine, Benha University, Benha, Egypt
| | - Hamada M Khater
- Department of Radiology, Faculty of Human Medicine, Benha University, Benha, Egypt
| | - Noha T Sarhan
- Department of Neurology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Dina Esmat Hamed
- Department of Dermatology, Venereology, and Andrology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Sara F Saadawy
- Medical Biochemistry Department, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Mohammed A Huneif
- Pediatric Department, Medical College, Najran University, Najran, Saudi Arabia
| | | | - Yasmin Ibrahim Libda
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
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16
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McCrady BS, Claus E, Witkiewitz K, Shiver A, Swartz M, Chávez R. Neurocognitive and neurobehavioral mechanisms of change following psychological treatment for alcohol use disorder. Contemp Clin Trials 2024:107538. [PMID: 38615751 DOI: 10.1016/j.cct.2024.107538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 04/08/2024] [Accepted: 04/11/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND Although modestly effective treatments exist for alcohol use disorder (AUD), many individuals return to heavy drinking after treatment, suggesting the need for better understanding of factors that contribute to maintaining abstinence or drinking reductions. Whereas past studies identified what treatments work for AUD, recent studies focus more on why particular treatments work, and the mechanisms by which treatment leads to change. This focus on mechanisms of behavior change (MOBC) may inform the process by which treatment leads to better outcomes, and also may lead to new treatments or modifications of existing treatments that target empirically supported mechanisms known to lead to change. There is a paucity of studies examining MOBC from a neurocognitive perspective. METHOD To address this gap in knowledge, the study described here is examining emotional reactivity, alcohol cue reactivity, and cognitive control as potential MOBC at three levels of analysis - self-report, behavior, and neural. RESULTS One hundred ten treatment-seeking individuals with an AUD are being randomized to receive 8 sessions of either Cognitive Behavioral Treatment (CBT) or Mindfulness Based Treatment (MBT) after up to 4 sessions of a platform treatment focused on enhancing motivation to change. To establish the temporal relationship between changes in drinking and changes in MOBC, patients are assessed at baseline, during and immediately after treatment, and 9- and 15-months post-baseline. Relationships between changes in drinking and changes in the proposed MOBC will be examined using advanced mixed modeling techniques. CONCLUSIONS Results should advance AUD treatment by targeting treatments to neurocognitive MOBC.
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Affiliation(s)
- Barbara S McCrady
- Center on Alcohol, Substance use, And Addictions; Department of Psychology, University of New Mexico, United States.
| | - Eric Claus
- Mind Research Network; The Pennsylvania State University, United States
| | - Katie Witkiewitz
- Center on Alcohol, Substance use, And Addictions; Department of Psychology, University of New Mexico, United States
| | - Alicia Shiver
- Center on Alcohol, Substance use, And Addictions; Department of Psychology, University of New Mexico, United States
| | | | - Roberta Chávez
- Center on Alcohol, Substance use, And Addictions; Department of Psychology, University of New Mexico, United States
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17
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Tavares J, Freire I, Branco C, Luís A. Vertebral artery dissection as the underlying cause of ventral spinal epidural haematoma. BMJ Case Rep 2024; 17:e259591. [PMID: 38599792 PMCID: PMC11015211 DOI: 10.1136/bcr-2023-259591] [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: 04/12/2024] Open
Abstract
Spontaneous spine epidural haematoma is a rare occurrence, with an incidence of 0.1/100 000 inhabitants/year. The anterior location of the haematoma is very uncommon since the dural sac is firmly attached to the posterior longitudinal ligament. Vertebral artery dissection as its underlying cause is an exceptionally rare event, with only two documented cases.This article presents the case of young woman who arrived at the emergency room with a spinal ventral epidural haematoma extending from C2 to T10, caused by a non-traumatic dissecting aneurysm of the right vertebral artery at V2-V3 segment. Since the patient was tetraparetic, she underwent emergent laminectomy, and the vertebral artery dissection was subsequently treated endovascularly with stenting.Vertebral artery dissection with subsequent perivascular haemorrhage is a possible cause of spontaneous spine epidural haematoma, particularly when located ventrally in the cervical and/or high thoracic column. Hence the importance of a thorough investigation of the vertebral artery integrity.
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Affiliation(s)
- Joana Tavares
- Neurosurgery Department, Centro Hospitalar de Lisboa Ocidental EPE, Lisboa, Portugal
| | - Inês Freire
- Neurorradiology Department, Centro Hospitalar de Lisboa Ocidental EPE, Lisboa, Portugal
| | - Cristina Branco
- Neurorradiology Department, Centro Hospitalar de Lisboa Ocidental EPE, Lisboa, Portugal
| | - Ana Luís
- Neurosurgery Department, Centro Hospitalar de Lisboa Ocidental EPE, Lisboa, Portugal
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18
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Paus T. Population Neuroscience: Principles and Advances. Curr Top Behav Neurosci 2024. [PMID: 38589637 DOI: 10.1007/7854_2024_474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Abstract
In population neuroscience, three disciplines come together to advance our knowledge of factors that shape the human brain: neuroscience, genetics, and epidemiology (Paus, Human Brain Mapping 31:891-903, 2010). Here, I will come back to some of the background material reviewed in more detail in our previous book (Paus, Population Neuroscience, 2013), followed by a brief overview of current advances and challenges faced by this integrative approach.
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Affiliation(s)
- Tomáš Paus
- Department of Psychiatry and Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
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19
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Pozzi FE, Aprea V, Giovannelli G, Lattuada F, Crivellaro C, Bertola F, Castelnovo V, Canu E, Filippi M, Appollonio I, Ferrarese C, Agosta F, Tremolizzo L. Clinical and neuroimaging characterization of the first frontotemporal dementia family carrying the MAPT p.K298E mutation. Neurogenetics 2024:10.1007/s10048-024-00756-w. [PMID: 38592608 DOI: 10.1007/s10048-024-00756-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/01/2024] [Indexed: 04/10/2024]
Abstract
We present an in-depth clinical and neuroimaging analysis of a family carrying the MAPT K298E mutation associated with frontotemporal dementia (FTD). Initial identification of this mutation in a single clinical case led to a comprehensive investigation involving four affected siblings allowing to elucidate the mutation's phenotypic expression.A 60-year-old male presented with significant behavioral changes and progressed rapidly, exhibiting speech difficulties and cognitive decline. Neuroimaging via FDG-PET revealed asymmetrical frontotemporal hypometabolism. Three siblings subsequently showed varied but consistent clinical manifestations, including abnormal behavior, speech impairments, memory deficits, and motor symptoms correlating with asymmetric frontotemporal atrophy observed in MRI scans.Based on the genotype-phenotype correlation, we propose that the p.K298E mutation results in early-onset behavioral variant FTD, accompanied by a various constellation of speech and motor impairment.This detailed characterization expands the understanding of the p.K298E mutation's clinical and neuroimaging features, underlining its role in the pathogenesis of FTD. Further research is crucial to comprehensively delineate the clinical and epidemiological implications of the MAPT p.K298E mutation.
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Affiliation(s)
- Federico Emanuele Pozzi
- Neurology Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy.
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy.
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
| | - Vittoria Aprea
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | | | - Francesca Lattuada
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Nuclear Medicine Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
| | - Cinzia Crivellaro
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Nuclear Medicine Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
| | - Francesca Bertola
- Medical Genetics, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
| | - Veronica Castelnovo
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisa Canu
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Ildebrando Appollonio
- Neurology Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Carlo Ferrarese
- Neurology Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Lucio Tremolizzo
- Neurology Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
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Gomaa A, Biyanwila C, Jantre M. Synchronous subarachnoid haemorrhage and ischaemic stroke as a result of complete internal carotid artery occlusion. BMJ Case Rep 2024; 17:e258341. [PMID: 38589243 PMCID: PMC11015294 DOI: 10.1136/bcr-2023-258341] [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: 04/10/2024] Open
Abstract
A previously healthy man in his 60s presents with a one-day history of insidious onset headache and 'walking into doors'. He reported transient right arm pain and tingling but no weakness. A CT brain showed a right middle cerebral artery (MCA) infarct as well as a synchronous right frontal lobe convexal subarachnoid haemorrhage (cSAH). An arch to vertex CT angiogram demonstrated right MCA occlusion and complete right internal carotid artery (ICA) occlusion from its origin. Reconstitution of flow was seen within the distal right ICA at the level of the distal foramen lacerum. A repeat CT of the brain after one week showed a stable appearance of the bleeding and infarct. He was commenced on antiplatelet therapy for the treatment of the ischaemic stroke as well as secondary prevention.This is a rare case of synchronous right MCA infarct as well as a right frontal cSAH secondary to ipsilateral carotid artery occlusion.
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Affiliation(s)
- Aysha Gomaa
- General Internal Medicine, East Sussex Healthcare NHS Trust, Eastbourne, East Sussex, UK
| | - Chemindra Biyanwila
- Stroke Medicine, East Sussex Healthcare NHS Trust, Eastbourne, East Sussex, UK
| | - Mansi Jantre
- Radiology, East Sussex Healthcare NHS Trust, Eastbourne, East Sussex, UK
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21
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Gaab N, Duggan N. Leveraging brain science for impactful advocacy and policymaking: The synergistic partnership between developmental cognitive neuroscientists and a parent-led grassroots movement to drive dyslexia prevention policy and legislation. Dev Cogn Neurosci 2024; 66:101376. [PMID: 38608358 DOI: 10.1016/j.dcn.2024.101376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/01/2024] [Accepted: 04/04/2024] [Indexed: 04/14/2024] Open
Abstract
Reading proficiency is crucial for academic, vocational, and economic success and has been closely linked to health outcomes. Unfortunately, in the United States, a concerning 63% of fourth-grade children are reading below grade level, with approximately 7%-10% exhibiting a disability in word reading, developmental dyslexia. Research in developmental cognitive neuroscience indicates that individuals with dyslexia show functional and structural brain alterations in regions processing reading and reading-related information, with some of these differences emerging as early as preschool and even infancy. This suggests that some children start schooling with less optimal brain architecture for learning to read, emphasizing the need for preventative education practices. This article reviews educational policies impacting children with dyslexia and highlights a decentralized parent-led grassroots movement, Decoding Dyslexia, which centers the voices of those directly impacted by dyslexia. It utilizes civic engagement practices, advocacy and lobbying on local, federal, and social media platforms, and strong partnerships with scientists to drive systems-level change in educational practices, leading to dyslexia prevention legislation across the U.S. The ongoing partnership continues to address the profound gaps between scientific findings and policymaking to drive systems-level change for contemporary challenges in educational practices within a learning disabilities framework.
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Hanson JL, Adkins DJ, Bacas E, Zhou P. Examining the reliability of brain age algorithms under varying degrees of participant motion. Brain Inform 2024; 11:9. [PMID: 38573551 PMCID: PMC10994881 DOI: 10.1186/s40708-024-00223-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 03/18/2024] [Indexed: 04/05/2024] Open
Abstract
Brain age algorithms using data science and machine learning techniques show promise as biomarkers for neurodegenerative disorders and aging. However, head motion during MRI scanning may compromise image quality and influence brain age estimates. We examined the effects of motion on brain age predictions in adult participants with low, high, and no motion MRI scans (Original N = 148; Analytic N = 138). Five popular algorithms were tested: brainageR, DeepBrainNet, XGBoost, ENIGMA, and pyment. Evaluation metrics, intraclass correlations (ICCs), and Bland-Altman analyses assessed reliability across motion conditions. Linear mixed models quantified motion effects. Results demonstrated motion significantly impacted brain age estimates for some algorithms, with ICCs dropping as low as 0.609 and errors increasing up to 11.5 years for high motion scans. DeepBrainNet and pyment showed greatest robustness and reliability (ICCs = 0.956-0.965). XGBoost and brainageR had the largest errors (up to 13.5 RMSE) and bias with motion. Findings indicate motion artifacts influence brain age estimates in significant ways. Furthermore, our results suggest certain algorithms like DeepBrainNet and pyment may be preferable for deployment in populations where motion during MRI acquisition is likely. Further optimization and validation of brain age algorithms is critical to use brain age as a biomarker relevant for clinical outcomes.
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Affiliation(s)
- Jamie L Hanson
- Learning, Research & Development Center, University of Pittsburgh, Murdoch Building 3420 Forbes Ave. Rm. 639, Pittsburgh, PA, 15260, USA.
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Dorthea J Adkins
- Learning, Research & Development Center, University of Pittsburgh, Murdoch Building 3420 Forbes Ave. Rm. 639, Pittsburgh, PA, 15260, USA
| | - Eva Bacas
- Learning, Research & Development Center, University of Pittsburgh, Murdoch Building 3420 Forbes Ave. Rm. 639, Pittsburgh, PA, 15260, USA
| | - Peiran Zhou
- Learning, Research & Development Center, University of Pittsburgh, Murdoch Building 3420 Forbes Ave. Rm. 639, Pittsburgh, PA, 15260, USA
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Ysbæk-Nielsen AT. Exploring volumetric abnormalities in subcortical L-HPA axis structures in pediatric generalized anxiety disorder. Nord J Psychiatry 2024:1-9. [PMID: 38573199 DOI: 10.1080/08039488.2024.2335980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND Pediatric generalized anxiety disorder (GAD) is debilitating and increasingly prevalent, yet its etiology remains unclear. Some believe the disorder to be propagated by chronic dysregulation of the limbic-hypothalamic-pituitary-adrenal (L-HPA) axis, but morphometric studies of implicated subcortical areas have been largely inconclusive. Recognizing that certain subcortical subdivisions are more directly involved in L-HPA axis functioning, this study aims to detect specific abnormalities in these critical areas. METHODS Thirty-eight MRI scans of preschool children with (n = 15) and without (n = 23) GAD underwent segmentation and between-group volumetric comparisons of the basolateral amygdala (BLA), ventral hippocampal subiculum (vSC), and mediodorsal medial magnocellular (MDm) area of the thalamus. RESULTS Children with GAD displayed significantly larger vSC compared to healthy peers, F(1, 31) = 6.50, pFDR = .048. On average, children with GAD presented with larger BLA and MDm, Fs(1, 31) ≥ 4.86, psFDR ≤ .054. Exploratory analyses revealed right-hemispheric lateralization of all measures, most notably the MDm, F(1, 31) = 8.13, pFDR = .024, the size of which scaled with symptom severity, r = .83, pFDR = .033. CONCLUSION The BLA, vSC, and MDm are believed to be involved in the regulation of anxiety and stress, both individually and collectively through the excitation and inhibition of the L-HPA axis. All were found to be enlarged in children with GAD, perhaps reflecting hypertrophy related to hyperexcitability, or early neuronal overgrowth. Longitudinal studies should investigate the relationship between these early morphological differences and the long-term subcortical atrophy previously observed.
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24
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Wang LL, Wang J, Liu BH, Tuo D, Lui SSY, Wan WQ, Huang J, Chan RCK. Neural substrates of the interaction between effort-expenditure reward decision-making and outcome anticipation. Behav Brain Res 2024; 466:114979. [PMID: 38582409 DOI: 10.1016/j.bbr.2024.114979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/20/2024] [Accepted: 04/02/2024] [Indexed: 04/08/2024]
Abstract
OBJECTIVE Reward anticipation is important for future decision-making, possibly due to re-evaluation of prior decisions. However, the exact relationship between reward anticipation and prior effort-expenditure decision-making, and its neural substrates are unknown. METHOD Thirty-three healthy participants underwent fMRI scanning while performing the Effort-based Pleasure Experience Task (E-pet). Participants were required to make effort-expenditure decisions and anticipate the reward. RESULTS We found that stronger anticipatory activation at the posterior cingulate cortex was correlated with slower reaction time while making decisions with a high-probability of reward. Moreover, the substantia nigra was significantly activated in the prior decision-making phase, and involved in reward-anticipation in view of its strengthened functional connectivity with the mammillary body and the putamen in trial conditions with a high probability of reward. CONCLUSIONS These findings support the role of reward anticipation in re-evaluating decisions based on the brain-behaviour correlation. Moreover, the study revealed the neural interaction between reward anticipation and decision-making.
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Affiliation(s)
- Ling-Ling Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jiao Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Bing-Hui Liu
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Donghao Tuo
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administration Region, Hong Kong, SAR China
| | - Wei-Qing Wan
- Department of Neurosurgery, Tiantan Hospital, Beijing, China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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25
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Mathoux G, Boccalini C, Lathuliere A, Scheffler M, Frisoni GB, Garibotto V. Neuroimaging-guided diagnosis of possible FTLD-FUS pathology: a case report. EJNMMI Res 2024; 14:35. [PMID: 38573556 PMCID: PMC10994884 DOI: 10.1186/s13550-024-01102-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024] Open
Abstract
BACKGROUND This case report presents a patient with progressive memory loss and choreiform movements. CASE PRESENTATION Neuropsychological tests indicated multi-domain amnestic mild cognitive impairment (aMCI), and neurological examination revealed asymmetrical involuntary hyperkinetic movements. Imaging studies showed severe left-sided atrophy and hypometabolism in the left frontal and temporoparietal cortex. [18F]Flortaucipir PET exhibited moderately increased tracer uptake in hypometabolic areas. The diagnosis initially considered Alzheimer's disease (AD), frontotemporal degeneration (FTD), and corticobasal degeneration (CBD), cerebral hemiatrophy syndrome, but imaging and cerebrospinal fluid analysis excluded AD and suggested fused-in-sarcoma-associated FTD (FTLD-FUS), a subtype of the behavioural variant of FTD. CONCLUSIONS Our case highlights that despite the lack of specific FUS biomarkers the combination of clinical features and neuroimaging biomarkers can guide choosing the most likely differential diagnosis in a complex neurological case. Imaging in particular allowed an accurate measure of the topography and severity of neurodegeneration and the exclusion of AD-related pathology.
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Affiliation(s)
- Gregory Mathoux
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland
| | - Cecilia Boccalini
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Faculty of Medicine, Geneva University Neurocenter, University of Geneva, Geneva, Switzerland
| | - Aurelien Lathuliere
- Department of Rehabilitation and Geriatrics, Memory Clinic, Geneva University and University Hospitals, Geneva, Switzerland
| | - Max Scheffler
- Division of Radiology, Geneva University Hospitals, Geneva, Switzerland
| | - Giovanni B Frisoni
- Department of Rehabilitation and Geriatrics, Memory Clinic, Geneva University and University Hospitals, Geneva, Switzerland
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
| | - Valentina Garibotto
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland.
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Faculty of Medicine, Geneva University Neurocenter, University of Geneva, Geneva, Switzerland.
- CIBM Center for Biomedical Imaging, Geneva, Switzerland.
- Neuroimaging and Innovative Molecular Traces Lab, Hôpitaux Universitaires de Genève (HUG) & University of Genève, Rue Gabrielle-Perret-Gentil 4, Genève 14, CH-1205, Switzerland.
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García-Bouyssou I, Laredo C, Massons M, Serrano M, Moreira F, Cabero-Arnold A, Urra X, Chamorro A. Clinical and neuroanatomical predictors of post-stroke fatigue. J Stroke Cerebrovasc Dis 2024; 33:107708. [PMID: 38582265 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 01/22/2024] [Accepted: 04/01/2024] [Indexed: 04/08/2024] Open
Abstract
INTRODUCTION Post-stroke fatigue (PSF) has been described as early exhaustion with tiredness that develops during physical or mental activity and generally does not improve with rest. There are inconsistent findings on the relationship between the characteristics of the ischemic brain lesion and PSF. However, some studies suggest that specific neuroanatomical and neuroplastic changes could explain post-stroke fatigue. The aim was to evaluate the severity of PSF in relation to the location and the size of the ischemic lesion in acute stroke patients to establish possible predictors of PSF. PATIENTS AND METHODS We performed a prospective observational study to establish potential early predictors of long-term PSF, which was assessed using the Fatigue Assessment Scale six months after ischemic stroke. After segmenting brain infarcts on Diffusion-Weighted Imaging (DWI) images, we studied the association with PSF using Voxel-Based Lesion-Symptom Mapping (VLSM). RESULTS Out of 104 patients, 61 (59 %) reported PSF. Female sex and history of diabetes mellitus were associated with a greater risk of developing PSF. The association of PSF with female sex was confirmed in a replication cohort of 50 patients. The ischemic lesion volume was not associated with PSF, and VBLSM analysis did not identify any specific brain area significantly associated with PSF. CONCLUSIONS PSF is frequent in stroke patients, especially women, even after six months. The absence of neuroanatomical correlates of PSF suggests that it is a multifactorial process with biological, psychological, and social risk factors that require further study.
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Affiliation(s)
- I García-Bouyssou
- Institut Clínic de Malalties Mèdiques i Quirúrgiques, Hospital Clínic, Barcelona, Spain
| | - C Laredo
- Magnetic Resonance Imaging Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - M Massons
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, Barcelona, Spain
| | - M Serrano
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, Barcelona, Spain
| | - F Moreira
- Centro Médico Altiplano Salud, Jumilla, Spain
| | - A Cabero-Arnold
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, Barcelona, Spain
| | - X Urra
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Barcelona, Spain.
| | - A Chamorro
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Barcelona, Spain
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27
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Özen Olcay H, Emektar E, Çorbacıoğlu ŞK, Saral Öztürk Z, Akkan S, Çevik Y. A retrospective study of CT scan utilization in the emergency department for patients presenting with seizures. Am J Emerg Med 2024; 80:132-137. [PMID: 38583342 DOI: 10.1016/j.ajem.2024.03.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 03/15/2024] [Accepted: 03/29/2024] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND/AIM The indications for neuroimaging in emergency department (ED) patients presenting with seizures have not been clearly defined. In this study, we aimed to investigate the findings that may influence the emergency management of patients with seizures undergoing brain computed tomography (CT) and the factors that influence these findings. MATERIAL AND METHODS This is a retrospective, single-center study. Patients presenting to the ED with seizures-both patients with diagnosed epilepsy and patients with first-time seizures-who underwent brain CT were included. Demographic information and indications for CT scans were recorded. According to the CT findings, patients were classified as having or not having significant pathology, and comparisons were made. Intracranial mass, intraparenchymal, subdural, and subarachnoid hemorrhage, fracture, and cerebral edema were considered significant pathologies. RESULTS This study included 404 patients. The most common reason for a CT scan was head trauma. A significant pathology was found on the CT scan in 5.4% of the patients. A regression analysis showed that hypertension, malignancy, and a prolonged postictal state were the predictive factors for significant pathology on CT. CONCLUSION CT scanning of patients presenting to the ED with seizures has a limited impact on emergency patient management. Clinical decision-making guidelines for emergency CT scanning of patients with seizures need to be reviewed and improved to identify zero/near-zero risk patients for whom imaging can be deferred.
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Affiliation(s)
- Handan Özen Olcay
- Ataturk Sanatoryum Training and Research Hospital, Department of Emergency Medicine, Ankara, Turkey.
| | - Emine Emektar
- Ataturk Sanatoryum Training and Research Hospital, Department of Emergency Medicine, Ankara, Turkey
| | - Şeref Kerem Çorbacıoğlu
- Ataturk Sanatoryum Training and Research Hospital, Department of Emergency Medicine, Ankara, Turkey
| | - Zeynep Saral Öztürk
- Ataturk Sanatoryum Training and Research Hospital, Department of Emergency Medicine, Ankara, Turkey
| | - Sedat Akkan
- Ataturk Sanatoryum Training and Research Hospital, Department of Emergency Medicine, Ankara, Turkey
| | - Yunsur Çevik
- Ataturk Sanatoryum Training and Research Hospital, Department of Emergency Medicine, Ankara, Turkey
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Mammadkhanli O, Kehaya S, Solak S, Yağmurlu K. Insular cortex involvement in migraine patients with chronic pain: A volumetric radiological and clinical study. J Clin Neurosci 2024; 123:157-161. [PMID: 38579522 DOI: 10.1016/j.jocn.2024.03.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 03/24/2024] [Accepted: 03/29/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND This study aimed to assess abnormalities in the insular cortex of individuals suffering from migraines and examine their associations with pain duration, medication usage, and clinical symptoms. METHODS We analyzed radiological data from 38 migraine patients who had undergone 3D iso T1-weighted brain MRI at our university hospital between 2019 and 2023. Structured questionnaires were used to collect information on participants' age, migraine type, disease duration, clinical symptoms, and medication use. Volumetric analysis was performed on the insular regions using Volbrain and 3DSlicer. The results were statistically analyzed. RESULTS Comparing groups with chronic pain to normal groups revealed significant differences in several insular regions, including the posterior insula (p = 0.034), parietal operculum (p = 0.04), and the entire insular cortex (p = 0.023). Further group comparisons (Group 1, 2, and 3) showed significant differences in specific insular regions. For instance, the anterior insula (p = 0.032) was associated with taste changes, the posterior insula (p = 0.010) with smell-related changes, and the central operculum (p = 0.046) with sensations of nausea. Additionally, significant changes were observed in the parietal operculum concerning nausea, photophobia, phonophobia, and changes in smell. CONCLUSION To the best of our knowledge, there have been no studies investigating the relationship between clinical manifestations and volumetric correlation. This study provides insights into abnormalities in the insular cortex among migraine patients and their potential relevance to pain duration, severity, and migraine type. The results suggest that understanding alterations in insular regions possibly linked to pain could contribute to the development of innovative approaches to managing chronic pain.
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Affiliation(s)
- Orkhan Mammadkhanli
- Trakya University, Department of Neurosurgery, Edirne, Turkey; Hacettepe University, Department of Anatomy, Ankara, Turkey.
| | - Sezgin Kehaya
- Trakya University, Department of Neurology, Edirne, Turkey
| | - Serdar Solak
- Trakya University, Department of Radiology, Edirne, Turkey
| | - Kaan Yağmurlu
- University of Tennessee Health Science Center, Department of Neurosurgery, Memphis, Tennessee, USA
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Domenico LH, Tanner JJ, Mickle AM, Terry EL, Garvan C, Lai S, Deshpande H, Staud R, Redden D, Price CC, Goodin BR, Fillingim RB, Sibille KT. Environmental and sociocultural factors are associated with pain-related brain structure among diverse individuals with chronic musculoskeletal pain: intersectional considerations. Sci Rep 2024; 14:7796. [PMID: 38565879 PMCID: PMC10987661 DOI: 10.1038/s41598-024-58120-9] [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: 10/09/2023] [Accepted: 03/26/2024] [Indexed: 04/04/2024] Open
Abstract
Chronic musculoskeletal pain including knee osteoarthritis (OA) is a leading cause of disability worldwide. Previous research indicates ethnic-race groups differ in the pain and functional limitations experienced with knee OA. However, when socioenvironmental factors are included in analyses, group differences in pain and function wane. Pain-related brain structures are another area where ethnic-race group differences have been observed. Environmental and sociocultural factors e.g., income, education, experiences of discrimination, and social support influence brain structures. We investigate if environmental and sociocultural factors reduce previously observed ethnic-race group differences in pain-related brain structures. Data were analyzed from 147 self-identified non-Hispanic black (NHB) and non-Hispanic white (NHW), middle and older aged adults with knee pain in the past month. Information collected included health and pain history, environmental and sociocultural resources, and brain imaging. The NHB adults were younger and reported lower income and education compared to their NHW peers. In hierarchical multiple regression models, sociocultural and environmental factors explained 6-37% of the variance in pain-related brain regions. Self-identified ethnicity-race provided an additional 4-13% of explanatory value in the amygdala, hippocampus, insula, bilateral primary somatosensory cortex, and thalamus. In the rostral/caudal anterior cingulate and dorsolateral prefrontal cortex, self-identified ethnicity-race was not a predictor after accounting for environmental, sociocultural, and demographic factors. Findings help to disentangle and identify some of the factors contributing to ethnic-race group disparities in pain-related brain structures. Numerous arrays of environmental and sociocultural factors remain to be investigated. Further, the differing sociodemographic representation of our NHB and NHW participants highlights the role for intersectional considerations in future research.
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Affiliation(s)
- Lisa H Domenico
- Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, 1225 Center Drive, Gainesville, FL, 32610, USA.
| | - Jared J Tanner
- Department of Clinical and Health Psychology, University of Florida, 1225 Center Drive, Gainesville, FL, 32603, USA
| | - Angela M Mickle
- Pain Research and Intervention Center of Excellence, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA
- Department of Physical Medicine and Rehabilitation, University of Florida, 3450 Hull Road, Gainesville, FL, 32607, USA
| | - Ellen L Terry
- Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, 1225 Center Drive, Gainesville, FL, 32610, USA
- Pain Research and Intervention Center of Excellence, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA
| | - Cynthia Garvan
- Department of Anesthesiology, Division of Pain Medicine, University of Florida, 1600 SW Archer Road, Gainesville, FL, 32610, USA
| | - Song Lai
- Department of Radiation Oncology, University of Florida, 2000 SW Archer Road, Gainesville, FL, 32610, USA
| | - Hrishikesh Deshpande
- Department of Radiology, University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL, 35294, USA
| | - Roland Staud
- Department of Rheumatology, College of Medicine, University of Florida, 1600 SW Archer Rd, Gainesville, FL, 32610, USA
| | - David Redden
- Department of Biostatistics, University of Alabama at Birmingham, 1665 University Blvd #327, Birmingham, AL, 35294, USA
| | - Catherine C Price
- Department of Clinical and Health Psychology, University of Florida, 1225 Center Drive, Gainesville, FL, 32603, USA
| | - Burel R Goodin
- Department of Psychology, University of Alabama at Birmingham, Campbell Hall 415, 1300 University Blvd, Birmingham, AL, 35223, USA
- Department of Anesthesiology, Washington University, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Roger B Fillingim
- Pain Research and Intervention Center of Excellence, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA
- Department of Community Dentistry and Behavioral Science, University of Florida College of Dentistry, 1329 SW 16th Street, Gainesville, FL, 32610-3628, USA
| | - Kimberly T Sibille
- Department of Physical Medicine and Rehabilitation, University of Florida, 3450 Hull Road, Gainesville, FL, 32607, USA
- Department of Anesthesiology, Division of Pain Medicine, University of Florida, 1600 SW Archer Road, Gainesville, FL, 32610, USA
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30
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Jiang A, Ma X, Li S, Wang L, Yang B, Wang S, Li M, Dong G. Age-atypical brain functional networks in autism spectrum disorder: a normative modeling approach. Psychol Med 2024:1-12. [PMID: 38563297 DOI: 10.1017/s0033291724000138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
BACKGROUND Despite extensive research into the neural basis of autism spectrum disorder (ASD), the presence of substantial biological and clinical heterogeneity among diagnosed individuals remains a major barrier. Commonly used case‒control designs assume homogeneity among subjects, which limits their ability to identify biological heterogeneity, while normative modeling pinpoints deviations from typical functional network development at individual level. METHODS Using a world-wide multi-site database known as Autism Brain Imaging Data Exchange, we analyzed individuals with ASD and typically developed (TD) controls (total n = 1218) aged 5-40 years, generating individualized whole-brain network functional connectivity (FC) maps of age-related atypicality in ASD. We then used local polynomial regression to estimate a networkwise normative model of development and explored correlations between ASD symptoms and brain networks. RESULTS We identified a subset exhibiting highly atypical individual-level FC, exceeding 2 standard deviation from the normative value. We also identified clinically relevant networks (mainly default mode network) at cohort level, since the outlier rates decreased with age in TD participants, but increased in those with autism. Moreover, deviations were linked to severity of repetitive behaviors and social communication symptoms. CONCLUSIONS Individuals with ASD exhibit distinct, highly individualized trajectories of brain functional network development. In addition, distinct developmental trajectories were observed among ASD and TD individuals, suggesting that it may be challenging to identify true differences in network characteristics by comparing young children with ASD to their TD peers. This study enhances understanding of the biological heterogeneity of the disorder and can inform precision medicine.
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Affiliation(s)
- Anhang Jiang
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province, P.R. China
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
| | - Xuefeng Ma
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
| | - Shuang Li
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
| | - Lingxiao Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
- Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Bo Yang
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province, P.R. China
| | - Shizhen Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
| | - Mei Li
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
- Center for Mental Health Education and Counselling, Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China
| | - Guangheng Dong
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province, P.R. China
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Hobden G, Colbourne E, Pendlebury ST, Demeyere N. Reliability of the global cortical atrophy visual rating scale applied to computed tomography versus magnetic resonance imaging scans in acute stroke. Neurol Sci 2024; 45:1549-1556. [PMID: 37910322 PMCID: PMC10942897 DOI: 10.1007/s10072-023-07113-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] [Received: 10/17/2022] [Accepted: 10/01/2023] [Indexed: 11/03/2023]
Abstract
INTRODUCTION Research using magnetic resonance imaging (MRI) suggests regional cerebral atrophy measures (e.g., frontal lobe, temporal lobe) may predict post-stroke outcomes. Clinical CT scans have excellent potential for use in research but it is unclear whether regional atrophy measures from CT are reliable compared to MRI reference standards. METHODS We used the Global Cortical Atrophy (GCA) scale to investigate reliability of atrophy measures on CT versus MRI scans from stroke patients originally recruited to the Oxford Cognitive Screening programme. Two raters provided standardised visual ratings at two timepoints. Weighted Kappa statistics assessed the reliability of regional atrophy scores. Spearman's correlation and a two-way repeated measures ANOVA assessed the reliability of the total score. RESULTS On clinically acquired neuroimaging from 98 stroke patients (mean/SD age = 70.97/11.99, 42 female, 84 ischaemic stroke), regional GCA scores on CT versus MRI showed fair to almost perfect intra-rater agreement (κ = .50-.87), substantial to almost perfect intra-rater agreement on CT (κ = .67-.88), and moderate to almost perfect intra-rater reliability on MRI (κ = .50-.89). Regional GCA scores showed mostly moderate to substantial inter-rater reliability on both CT and MRI (κ = .43-.69), except the temporal horns and parieto-occipital region. There was a strong correlation between total GCA scores on CT and MRI (r (96) = .87-.88, p < .001). CONCLUSIONS These results support the use of cerebral atrophy measures from CT in clinical research, as visual ratings showed generally good agreement between CT and MRI, between raters, and between timepoints.
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Affiliation(s)
- Georgina Hobden
- Department of Experimental Psychology, University of Oxford, Oxford, UK.
| | - Emma Colbourne
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
- Departments of General (Internal) Medicine and Geratology, NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Sarah T Pendlebury
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
- Departments of General (Internal) Medicine and Geratology, NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, Oxford, UK
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
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32
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Girelli F, Rossetti MG, Perlini C, Bellani M. Neural correlates of cognitive behavioral therapy-based interventions for bipolar disorder: A scoping review. J Psychiatr Res 2024; 172:351-359. [PMID: 38447356 DOI: 10.1016/j.jpsychires.2024.02.054] [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: 08/25/2023] [Revised: 02/20/2024] [Accepted: 02/24/2024] [Indexed: 03/08/2024]
Abstract
Cognitive Behavioral Therapy (CBT) is among the gold-standard psychotherapeutic interventions for the treatment of psychiatric disorders, including bipolar disorder (BD). While the clinical response of CBT in patients with BD has been widely investigated, its neural correlates remain poorly explored. Therefore, this scoping review aimed to discuss neuroimaging studies on CBT-based interventions in bipolar populations. Particular attention has been paid to similarities and differences between studies to inform future research. The literature search was conducted on PubMed, PsycINFO, and Web of Science databases in June 2023, identifying 307 de-duplicated records. Six studies fulfilled the inclusion criteria and were reviewed. All of them analyzed functional brain activity data. Four studies showed that the clinical response to CBT was associated with changes in the functional activity and/or connectivity of prefrontal and posterior cingulate cortices, temporal parietal junction, amygdala, precuneus, and insula. In two additional studies, a peculiar pattern of baseline activations in the prefrontal cortex, hippocampus, amygdala, and insula predicted post-treatment improvements in depressive symptoms, emotion dysregulation, and psychosocial functioning, although CBT-specific effects were not shown. These results suggest, at the very preliminary level, the potential of CBT-based interventions in modulating neural activity and connectivity of patients with BD, especially in regions ascribed to emotional processing. Nonetheless, the discrepancies between studies concerning aims, design, sample characteristics, and CBT and fMRI protocols do not allow conclusions to be drawn. Further research using multimodal imaging techniques, better-characterized BD samples, and standardized CBT-based interventions is needed.
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Affiliation(s)
- Francesca Girelli
- UOC Psichiatria, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Maria Gloria Rossetti
- UOC Psichiatria, Azienda Ospedaliera Universitaria Integrata, Verona, Italy; Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Cinzia Perlini
- Section of Clinical Psychology, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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Ghazanfari N, Doorduin J, van der Weijden CWJ, Willemsen ATM, Glaudemans AWJM, van Waarde A, Dierckx RAJO, de Vries EFJ. Pharmacokinetic Analysis of [ 18F]FES PET in the Human Brain and Pituitary Gland. Mol Imaging Biol 2024; 26:351-359. [PMID: 38263484 DOI: 10.1007/s11307-023-01880-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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 01/25/2024]
Abstract
PURPOSE Estrogen receptors (ER) are implicated in psychiatric disorders. We assessed if ER availability in the human brain could be quantified using 16α-[18F]-fluoro-17β-estradiol ([18F]FES) positron emission tomography (PET). PROCEDURES Seven post‑menopausal women underwent a dynamic [18F]FES PET scan with arterial blood sampling. A T1-weighted MRI was acquired for anatomical information. After one week, four subjects received a selective ER degrader (SERD), four hours before the PET scan. Pharmacokinetic analysis was performed using a metabolite-corrected plasma curve as the input function. The optimal kinetic model was selected based on the Akaike information criterion and standard error of estimated parameters. Accuracy of Logan graphical analysis and standardized uptake value (SUV) was determined via correlational analyses. RESULTS The reversible two-tissue compartment model (2T4k) model with fixed K1/k2 was preferred. The total volume of distribution (VT) could be more reliably estimated than the binding potential (BPND). A high correlation of VT with Logan graphical analysis was observed, but only a moderate correlation with SUV. SERD administration resulted in a reduced VT in the pituitary gland, but not in other regions. CONCLUSIONS The optimal quantification method for [18F]FES was the 2T4k with fixed K1/k2 or Logan graphical analysis, but specific binding was only observed in the pituitary gland.
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Affiliation(s)
- Nafiseh Ghazanfari
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands.
| | - Chris W J van der Weijden
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - Antoon T M Willemsen
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - Andor W J M Glaudemans
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - Aren van Waarde
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - Erik F J de Vries
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
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Aggarwal N, Tromp DPM, Blackford JU, Pine DS, Roseboom PH, Williams LE, Kalin NH. Sex-Specific Distributed White Matter Microarchitectural Alterations in Preadolescent Youths With Anxiety Disorders: A Mega-Analytic Study. Am J Psychiatry 2024; 181:299-309. [PMID: 38476042 DOI: 10.1176/appi.ajp.20221048] [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] [Indexed: 03/14/2024]
Abstract
OBJECTIVE Anxiety disorders are among the most common psychiatric disorders in youths and emerge during childhood. This is also a period of rapid white matter (WM) development, which is critical for efficient neuronal communication. Previous work in preadolescent children with anxiety disorders demonstrated anxiety disorder-related reductions in WM microstructural integrity (fractional anisotropy [FA]) in the uncinate fasciculus (UF), the major WM tract facilitating prefrontal cortical-limbic structural connectivity. Importantly, this association was found only in boys with anxiety disorders. To confirm this finding and more comprehensively understand WM changes in childhood anxiety, this mega-analytic study characterizes WM alterations related to anxiety disorders and sex in the largest sample of preadolescent children to date. METHODS Diffusion tensor imaging data from published studies of preadolescent children with anxiety disorders and healthy volunteers (ages 8-12) (N=198) were combined with a new data set (N=97) for a total sample of 165 children with anxiety disorders and 132 healthy volunteers. Children with anxiety disorders met DSM-5 criteria for current generalized, separation, and/or social anxiety disorder. Analyses of tractography and voxel-wise data assessed between-group differences (anxiety disorder vs. healthy volunteer), effects of sex, and their interaction. RESULTS Tract-based and voxel-wise analyses confirmed a significant reduction in UF FA in boys but not girls with anxiety disorders. Results also demonstrated other significant widespread anxiety disorder-related WM alterations specifically in boys, including in multiple commissural, association, projection, and brainstem regions. CONCLUSIONS In addition to confirming male-specific anxiety disorder-related reductions in UF FA, the results demonstrate that anxiety disorders in boys and not girls are associated with broadly distributed WM alterations across the brain. These findings support further studies focused on understanding the extent to which WM alterations in boys with anxiety disorders are involved in pathophysiological processes that mediate anxiety disorders. The findings also suggest the possibility that WM microarchitecture could serve as a novel treatment target for childhood anxiety disorders.
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Affiliation(s)
- Nakul Aggarwal
- Department of Psychiatry, University of Wisconsin-Madison (Aggarwal, Tromp, Roseboom, Williams, Kalin); Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha (Blackford); Section on Developmental and Affective Neuroscience, NIMH, Bethesda, Md. (Pine)
| | - Do P M Tromp
- Department of Psychiatry, University of Wisconsin-Madison (Aggarwal, Tromp, Roseboom, Williams, Kalin); Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha (Blackford); Section on Developmental and Affective Neuroscience, NIMH, Bethesda, Md. (Pine)
| | - Jennifer U Blackford
- Department of Psychiatry, University of Wisconsin-Madison (Aggarwal, Tromp, Roseboom, Williams, Kalin); Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha (Blackford); Section on Developmental and Affective Neuroscience, NIMH, Bethesda, Md. (Pine)
| | - Daniel S Pine
- Department of Psychiatry, University of Wisconsin-Madison (Aggarwal, Tromp, Roseboom, Williams, Kalin); Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha (Blackford); Section on Developmental and Affective Neuroscience, NIMH, Bethesda, Md. (Pine)
| | - Patrick H Roseboom
- Department of Psychiatry, University of Wisconsin-Madison (Aggarwal, Tromp, Roseboom, Williams, Kalin); Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha (Blackford); Section on Developmental and Affective Neuroscience, NIMH, Bethesda, Md. (Pine)
| | - Lisa E Williams
- Department of Psychiatry, University of Wisconsin-Madison (Aggarwal, Tromp, Roseboom, Williams, Kalin); Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha (Blackford); Section on Developmental and Affective Neuroscience, NIMH, Bethesda, Md. (Pine)
| | - Ned H Kalin
- Department of Psychiatry, University of Wisconsin-Madison (Aggarwal, Tromp, Roseboom, Williams, Kalin); Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha (Blackford); Section on Developmental and Affective Neuroscience, NIMH, Bethesda, Md. (Pine)
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Zhong Y, Liu H, Tan C, Liu X, Chen L. More than grey matter: a case of spinocerebellar ataxia type 48. Acta Neurol Belg 2024; 124:653-656. [PMID: 37566366 DOI: 10.1007/s13760-023-02355-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 07/25/2023] [Indexed: 08/12/2023]
Affiliation(s)
- Yuke Zhong
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Hang Liu
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Changhong Tan
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Xi Liu
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China.
| | - Lifen Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China.
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36
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Binter AC, Granés L, Bannier E, de Castro M, Petricola S, Fossati S, Vrijheid M, Chevrier C, El Marroun H, Nieuwenhuijsen M, Saint-Amour D, Tiemeier H, Guxens M. Urban environment during pregnancy and childhood and white matter microstructure in preadolescence in two European birth cohorts. Environ Pollut 2024; 346:123612. [PMID: 38387546 DOI: 10.1016/j.envpol.2024.123612] [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: 08/17/2023] [Revised: 02/15/2024] [Accepted: 02/18/2024] [Indexed: 02/24/2024]
Abstract
Growing evidence suggests that urban environment may influence cognition and behavior in children, but the underlying pollutant and neurobiological mechanisms are unclear. We evaluated the association of built environment and urban natural space indicators during pregnancy and childhood with brain white matter microstructure in preadolescents, and examined the potential mediating role of air pollution and road-traffic noise. We used data of the Generation R Study, a population-based birth cohort in Rotterdam, the Netherlands (n = 2725; 2002-2006) for the primary analyses. Replication of the main findings was attempted on an independent neuroimaging dataset from the PELAGIE birth cohort, France (n = 95; 2002-2006). We assessed exposures to 12 built environment and 4 urban natural spaces indicators from conception up to 9 years of age. We computed 2 white matter microstructure outcomes (i.e., average of fractional anisotropy (FA) and mean diffusivity (MD) from 12 white matte tracts) from diffusion tensor imaging data. Greater distance to the nearest major green space during pregnancy was associated with higher whole-brain FA (0.001 (95%CI 0.000; 0.002) per 7 m increase), and higher land use diversity during childhood was associated with lower whole-brain MD (-0.001 (95%CI -0.002; -0.000) per 0.12-point increase), with no evidence of mediation by air pollution nor road-traffic noise. Higher percentage of transport and lower surrounding greenness during pregnancy were associated with lower whole-brain FA, and road-traffic noise mediated 19% and 52% of these associations, respectively. We found estimates in the same direction in the PELAGIE cohort, although confidence intervals were larger and included the null. This study suggests an association between urban environment and white matter microstructure, mainly through road-traffic noise, indicating that greater access to green space nearby might promote white matter development.
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Affiliation(s)
- Anne-Claire Binter
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Laura Granés
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Psychiatry, Bellvitge Biomedical Research Institute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain
| | - Elise Bannier
- Inria, CRNS, Inserm, IRISA UMR 6074, Empenn U1228, Univ Rennes, Rennes, France; CHU Rennes, Department of Radiology, Rennes, France
| | - Montserrat de Castro
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Sami Petricola
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Serena Fossati
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Cécile Chevrier
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), UMR_S 1085, Rennes, France
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioural Sciences, Rotterdam, the Netherlands
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Dave Saint-Amour
- Département de Psychologie, Université du Québec à Montréal, Montréal, Québec, Canada; Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, Montréal, Québec, Canada
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands.
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Koneru M, Hoseinyazdi M, Wang R, Ozkara BB, Hyson NZ, Marsh EB, Llinas RH, Urrutia VC, Leigh R, Gonzalez LF, Xu R, Caplan JM, Huang J, Lu H, Luna L, Wintermark M, Dmytriw AA, Guenego A, Albers GW, Heit JJ, Nael K, Hillis AE, Yedavalli VS. Pretreatment parameters associated with hemorrhagic transformation among successfully recanalized medium vessel occlusions. J Neurol 2024; 271:1901-1909. [PMID: 38099953 DOI: 10.1007/s00415-023-12149-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 11/26/2023] [Accepted: 12/03/2023] [Indexed: 03/28/2024]
Abstract
Although pretreatment radiographic biomarkers are well established for hemorrhagic transformation (HT) following successful mechanical thrombectomy (MT) in large vessel occlusion (LVO) strokes, they are yet to be explored for medium vessel occlusion (MeVO) acute ischemic strokes. We aim to investigate pretreatment imaging biomarkers representative of collateral status, namely the hypoperfusion intensity ratio (HIR) and cerebral blood volume (CBV) index, and their association with HT in successfully recanalized MeVOs. A prospectively collected registry of acute ischemic stroke patients with MeVOs successfully recanalized with MT between 2019 and 2023 was retrospectively reviewed. A multivariate logistic regression for HT of any subtype was derived by combining significant univariate predictors into a forward stepwise regression with minimization of Akaike information criterion. Of 60 MeVO patients successfully recanalized with MT, HT occurred in 28.3% of patients. Independent factors for HT included: diabetes mellitus history (p = 0.0005), CBV index (p = 0.0071), and proximal versus distal occlusion location (p = 0.0062). A multivariate model with these factors had strong diagnostic performance for predicting HT (area under curve [AUC] 0.93, p < 0.001). Lower CBV indexes, distal occlusion location, and diabetes history are significantly associated with HT in MeVOs successfully recanalized with MT. Of note, HIR was not found to be significantly associated with HT.
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Affiliation(s)
- Manisha Koneru
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Meisam Hoseinyazdi
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Richard Wang
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | | | - Nathan Z Hyson
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | | | - Rafael H Llinas
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Victor C Urrutia
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Richard Leigh
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | | | - Risheng Xu
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Justin M Caplan
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Judy Huang
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Hanzhang Lu
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Licia Luna
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | | | | | - Adrien Guenego
- Universite Libre De Bruxelles Hospital Erasme, Anderlecht, Belgium
| | | | - Jeremy J Heit
- Stanford University School of Medicine, Stanford, CA, USA
| | - Kambiz Nael
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Argye E Hillis
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Vivek S Yedavalli
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA.
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Ebner NC, Horta M, El-Shafie D. New directions for studying the aging social-cognitive brain. Curr Opin Psychol 2024; 56:101768. [PMID: 38104362 PMCID: PMC10939782 DOI: 10.1016/j.copsyc.2023.101768] [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: 11/01/2023] [Revised: 11/17/2023] [Accepted: 11/21/2023] [Indexed: 12/19/2023]
Abstract
The study of social cognition has extended across the lifespan with a recent special focus on the impacts of aging on the social-cognitive brain. This review summarizes current knowledge on social perception, theory of mind, empathy, and social behavior from a social-cognitive neuroscience of aging perspective and identifies new directions for studying the aging social-cognitive brain. These new directions highlight the need for (i) standardized operationalization and analysis of social-cognitive constructs; (ii) use of naturalistic paradigms to enhance ecological validity of social-cognitive measures; (iii) application of repeated assessments via single-N designs for robust delineation of social-cognitive processes in the aging brain; (iv) increased representation of vulnerable aging populations in social-cognitive brain research to enhance diversity, promote generalizability, and allow for cross-population comparisons.
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Affiliation(s)
- Natalie C Ebner
- Department of Psychology, University of Florida, Gainesville, FL, USA; Institute on Aging, University of Florida, Gainesville, FL, USA; Center for Cognitive Aging and Memory, University of Florida, Gainesville, FL, USA.
| | - Marilyn Horta
- Department of Psychology, University of Florida, Gainesville, FL, USA; Pain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, USA
| | - Dalia El-Shafie
- Department of Psychology, University of Florida, Gainesville, FL, USA
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Décarie-Labbé L, Dialahy IZ, Corriveau-Lecavalier N, Mellah S, Belleville S. Examining the relationship between brain activation and proxies of disease severity using quantile regression in individuals at risk of Alzheimer's disease. Cortex 2024; 173:234-247. [PMID: 38432175 DOI: 10.1016/j.cortex.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 10/27/2023] [Accepted: 01/25/2024] [Indexed: 03/05/2024]
Abstract
Previous studies have reported a pattern of hyperactivation in the pre-dementia phase of Alzheimer's disease (AD), followed by hypoactivation in later stages of the disease. This pattern was modeled as an inverse U-shape function between activation and markers of disease severity. In this study, we used quantile regression to model the association between task-related brain activation in AD signature regions and three markers of disease severity (hippocampal volume, cortical thickness, and associative memory). This approach offers distinct advantages over standard regression models as it analyzes the relationship between brain activation and disease severity across various levels of brain activation. Participants were 54 older adults with subjective cognitive decline+ (SCD+) or mild cognitive impairment (MCI) from the CIMA-Q cohort. The analysis revealed an inverse U-shape quadratic function depicting the relationship between disease severity markers and the activation of the left superior parietal region, while a linear relationship was observed for activation of the hippocampal and temporal regions. Quantile differences were observed for temporal and parietal activation, with more pronounced effects observed in the higher quantiles of activation. When comparing quantiles, we found that higher quantile of activation featured a greater number of individuals with SCD+ compared to mild cognitive impairment (MCI). Results are globally consistent with the presence of an inverse-U shape function of activation in relation to disease severity. They study also underscores the utility of employing quantile regression modeling as the modeling approach revealed the presence of non-homogeneous effects across various quantiles.
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Affiliation(s)
- Laurie Décarie-Labbé
- Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada; Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
| | - Isaora Zefania Dialahy
- Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada
| | | | - Samira Mellah
- Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada
| | - Sylvie Belleville
- Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada; Department of Psychology, Université de Montréal, Montreal, Quebec, Canada.
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Seitz-Holland J, Haas SS, Penzel N, Reichenberg A, Pasternak O. BrainAGE, brain health, and mental disorders: A systematic review. Neurosci Biobehav Rev 2024; 159:105581. [PMID: 38354871 DOI: 10.1016/j.neubiorev.2024.105581] [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: 11/09/2023] [Revised: 02/05/2024] [Accepted: 02/09/2024] [Indexed: 02/16/2024]
Abstract
The imaging-based method of brainAGE aims to characterize an individual's vulnerability to age-related brain changes. The present study systematically reviewed brainAGE findings in neuropsychiatric conditions and discussed the potential of brainAGE as a marker for biological age. A systematic PubMed search (from inception to March 6th, 2023) identified 273 articles. The 30 included studies compared brainAGE between neuropsychiatric and healthy groups (n≥50). We presented results qualitatively and adapted a bias risk assessment questionnaire. The imaging modalities, design, and input features varied considerably between studies. While the studies found higher brainAGE in neuropsychiatric conditions (11 mild cognitive impairment/ dementia, 11 schizophrenia spectrum/ other psychotic and bipolar disorder, six depression/ anxiety, two multiple groups), the associations with clinical characteristics were mixed. While brainAGE is sensitive to group differences, limitations include the lack of diverse training samples, multi-modal studies, and external validation. Only a few studies obtained longitudinal data, and all have used algorithms built solely to predict chronological age. These limitations impede the validity of brainAGE as a biological age marker.
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Affiliation(s)
- Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Shalaila S Haas
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nora Penzel
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Abraham Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Aspberg S, Cheng D, von Heijne A, Gigante B, Singer DE. Brain MRI microbleeds and risk of intracranial hemorrhage in atrial fibrillation patients: A Swedish case-control study. J Stroke Cerebrovasc Dis 2024; 33:107629. [PMID: 38325675 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107629] [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: 06/20/2023] [Revised: 01/30/2024] [Accepted: 02/04/2024] [Indexed: 02/09/2024] Open
Abstract
OBJECTIVES Our goal was to quantify the independent association of brain microbleeds with future intracranial hemorrhage (ICrH). Microbleed findings on brain magnetic resonance imaging (MRI) may identify distinctive risk factors for ICrH which could inform the anticoagulant therapy decision for atrial fibrillation (AF) patients. Our study design includes patients with MRIs for numerous reasons, not limited to evaluation of stroke. MATERIALS AND METHODS The source population was all patients with AF from a nationwide Swedish health care register. Case patients had an ICrH between 2006 and 2013 and ≥1 brain MRI for an unrelated condition before the ICrH. Each case was matched to four controls who had a brain MRI without a subsequent ICrH. The MRIs were re-reviewed by neuroradiologists. Associations between MRI findings and subsequent ICrH were assessed using logistic regression, adjusting for comorbidities and antithrombotic medications. RESULTS A total of 78 cases and 312 matched controls were identified; 29 cases and 79 controls had MRI sequences suitable for analysis of microbleeds. Patients with ≥10 microbleeds had a markedly increased risk of ICrH (adjusted odds ratio 14.56; 95 % confidence interval: 2.86-74.16, p < 0.001). All patients with ≥10 microbleeds had microbleeds in the lobar region and ≥10 lobar microbleeds was associated with intracerebral hemorrhages, univariable OR 8.54 (2.01-36.33), p = 0.004. CONCLUSIONS Leveraging a nationwide database with brain imaging obtained prior to ICrH, we identified a strong association between ≥10 microbleeds on brain MRI and subsequent ICrH among AF patients. Lobar brain regions were involved whenever there were ≥10 microbleeds. Brain MRIs may help optimize the anticoagulation decision in selected AF patients.
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Affiliation(s)
- Sara Aspberg
- Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - David Cheng
- Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Anders von Heijne
- Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Bruna Gigante
- Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Daniel E Singer
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
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Hwang S, Suk JW, Meffert H, Lerdahl A, Garvey WF, Edwards R, Delizza A, Soltis-Vaughan B, Cordts K, Leibenluft E, Blair RJR. Neural Responses to Intranasal Oxytocin in Youths With Severe Irritability. Am J Psychiatry 2024; 181:291-298. [PMID: 38419495 PMCID: PMC10984767 DOI: 10.1176/appi.ajp.20230174] [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: 03/02/2024]
Abstract
OBJECTIVE The authors investigated the neural impact of intranasal oxytocin on emotion processing areas in youths with severe irritability in the context of disruptive mood and behavior disorders. METHODS Fifty-two participants with severe irritability, as measured by a score ≥4 on the Affective Reactivity Index (ARI), with diagnoses of disruptive behavior disorders (DBDs) and/or disruptive mood dysregulation disorder (DMDD) were randomly assigned to treatment with intranasal oxytocin or placebo daily for 3 weeks. Assessments were conducted at baseline and at the end of the trial; the primary outcomes were measures of irritability on the ARI and ratings on the Clinical Global Impressions severity scale (CGI-S) focusing on DBD and DMDD symptoms, and secondary outcomes included the CGI improvement scale (CGI-I) and ratings of proactive and reactive aggressive behavior on the Reactive-Proactive Aggression Questionnaire. Forty-three participants (22 in the oxytocin group and 21 in the placebo group) completed pre- and posttreatment functional MRI (fMRI) scans with the affective Stroop task. RESULTS Youths who received oxytocin showed significant improvement in CGI-S and CGI-I ratings compared with those who received placebo. In the fMRI data, blood-oxygen-level-dependent (BOLD) responses to emotional stimuli in the dorsomedial prefrontal cortex and posterior cingulate cortex were significantly reduced after oxytocin compared with placebo. These BOLD response changes were correlated with improvement in clinical severity. CONCLUSIONS This study provides initial and preliminary evidence that intranasal oxytocin may induce neural-level changes in emotion processing in youths with irritability in the context of DBDs and DMDD. This may lead to symptom and severity changes in irritability.
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Affiliation(s)
- Soonjo Hwang
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
| | - Ji-Woo Suk
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
| | - Harma Meffert
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
| | - Arica Lerdahl
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
| | - William F Garvey
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
| | - Ryan Edwards
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
| | - Alison Delizza
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
| | - Brigette Soltis-Vaughan
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
| | - Katrina Cordts
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
| | - Ellen Leibenluft
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
| | - R J R Blair
- Department of Psychiatry (Hwang, Lerdahl, Edwards), Department of Psychology (Delizza), and Department of Neurological Sciences (Soltis-Vaughan, Cordts), University of Nebraska Medical Center, Omaha; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea (Suk); Slimmer AI, Groningen, the Netherlands (Meffert); Cognitive Ability and Plasticity Lab, University of Sheffield, Sheffield, U.K. (Garvey); Section on Mood Dysregulation and Neuroscience, NIMH, Bethesda, Md. (Leibenluft); Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Copenhagen (Blair)
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Basodi S, Raja R, Gazula H, Romero JT, Panta S, Maullin-Sapey T, Nichols TE, Calhoun VD. Decentralized Mixed Effects Modeling in COINSTAC. Neuroinformatics 2024; 22:163-175. [PMID: 38424371 DOI: 10.1007/s12021-024-09657-7] [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] [Accepted: 02/15/2024] [Indexed: 03/02/2024]
Abstract
Performing group analysis on magnetic resonance imaging (MRI) data with linear mixed-effects (LME) models is challenging due to its large dimensionality and inherent multi-level covariance structure. In addition, as large-scale collaborative projects become commonplace in neuroimaging, data must increasingly be stored and analyzed from different locations. In such settings, substantial overhead can occur in terms of data transfer and coordination between participating research groups. In some cases, data cannot be pooled together due to privacy or regulatory concerns. In this work, we propose a decentralized LME model to perform a large-scale analysis of data from different collaborations without data pooling. This method is efficient as it overcomes the hurdles of data sharing and has lower bandwidth and memory requirements for analysis than the centralized modeling approach. We evaluate our model using features extracted from structural magnetic resonance imaging (sMRI) data. Results highlight gray matter reductions in the temporal lobe/insula and medial frontal regions in schizophrenia, consistent with prior studies. Our analysis also demonstrates that decentralized LME models achieve similar performance compared to the models trained with all the data in one location. We also implement the decentralized LME approach in COINSTAC, an open source, decentralized platform for federating neuroimaging analysis, providing an easy to use tool for dissemination to the neuroimaging community.
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Affiliation(s)
- Sunitha Basodi
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Rajikha Raja
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Harshvardhan Gazula
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Javier Tomas Romero
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Sandeep Panta
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | | | - Thomas E Nichols
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
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Stringaris A, Silver J. Mechanism-Focused Randomized Controlled Trials in Youths: Another Step Uphill. Am J Psychiatry 2024; 181:259-261. [PMID: 38557144 DOI: 10.1176/appi.ajp.20240123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Affiliation(s)
- Argyris Stringaris
- Division of Psychiatry (Stringaris) and Division Psychology and Language Sciences (Stringaris, Silver), Faculty of Brain Sciences, University College London; First Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece (Stringaris); Department of Psychology, Stony Brook University, Stony Brook, N.Y. (Silver)
| | - Jamilah Silver
- Division of Psychiatry (Stringaris) and Division Psychology and Language Sciences (Stringaris, Silver), Faculty of Brain Sciences, University College London; First Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece (Stringaris); Department of Psychology, Stony Brook University, Stony Brook, N.Y. (Silver)
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Sturgeon JA, Zubieta C, Kaplan CM, Pierce J, Arewasikporn A, Slepian PM, Hassett AL, Trost Z. Broadening the Scope of Resilience in Chronic Pain: Methods, Social Context, and Development. Curr Rheumatol Rep 2024; 26:112-123. [PMID: 38270842 DOI: 10.1007/s11926-024-01133-0] [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: 01/16/2024] [Indexed: 01/26/2024]
Abstract
PURPOSE OF REVIEW A wellspring of new research has offered varying models of resilience in chronic pain populations; however, resilience is a multifaceted and occasionally nebulous construct. The current review explores definitional and methodological issues in existing observational and clinical studies and offers new directions for future studies of pain resilience. RECENT FINDINGS Definitions of pain resilience have historically relied heavily upon self-report and from relatively narrow scientific domains (e.g., positive psychology) and in narrow demographic groups (i.e., Caucasian, affluent, or highly educated adults). Meta-analytic and systematic reviews have noted moderate overall quality of resilience-focused assessment and treatment in chronic pain, which may be attributable to these narrow definitions. Integration of research from affiliated fields (developmental models, neuroimaging, research on historically underrepresented groups, trauma psychology) has the potential to enrich current models of pain resilience and ultimately improve the empirical and clinical utility of resilience models in chronic pain.
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Affiliation(s)
- John A Sturgeon
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.
| | - Caroline Zubieta
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Chelsea M Kaplan
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jennifer Pierce
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Anne Arewasikporn
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - P Maxwell Slepian
- Department of Anesthesia and Pain Management, Toronto General Hospital, Toronto, CA, USA
| | - Afton L Hassett
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Zina Trost
- Department of Psychology, Texas A&M University, College Station, TX, USA
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Bridges J, Brougham J, Terrell D, Whipple S, Lee S. Posterior fossa microcystic meningioma mimicking an arachnoid cyst. Radiol Case Rep 2024; 19:1284-1287. [PMID: 38292808 PMCID: PMC10825519 DOI: 10.1016/j.radcr.2023.12.065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 12/29/2023] [Indexed: 02/01/2024] Open
Abstract
Microcystic meningioma is an uncommon subtype of World Health Organization grade 1 meningiomas often associated with a shorter progression-free survival. Diagnosis through imaging alone can often be challenging due to atypical characteristics, especially when found in unexpected locations. Here, we present a 55-year-old woman who was diagnosed, based on imaging, with a posterior fossa arachnoid cyst 5 years prior after complaints of headaches and gait imbalance. After surgical resection of the "arachnoid cyst," the diagnosis of microcystic meningioma was made. This case report emphasizes the clinical importance and challenges associated with diagnosing microcystic meningiomas.
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Affiliation(s)
- James Bridges
- School of Medicine, LSU Health Shreveport , Shreveport, LA, USA
| | - Jared Brougham
- Department of Neurosurgery, LSU Health Shreveport, Shreveport, LA, USA
| | - Danielle Terrell
- Department of Neurosurgery, LSU Health Shreveport, Shreveport, LA, USA
| | - Stephen Whipple
- Department of Neurosurgery, LSU Health Shreveport, Shreveport, LA, USA
| | - Sungho Lee
- Department of Neurosurgery, LSU Health Shreveport, Shreveport, LA, USA
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Failla MD, Beach PA, Atalla S, Dietrich MS, Bruehl S, Cowan RL, Monroe TB. Gender Differences in Pain Threshold, Unpleasantness, and Descending Pain Modulatory Activation Across the Adult Life Span: A Cross Sectional Study. J Pain 2024; 25:1059-1069. [PMID: 37956742 PMCID: PMC10960699 DOI: 10.1016/j.jpain.2023.10.027] [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] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 10/04/2023] [Accepted: 10/28/2023] [Indexed: 11/15/2023]
Abstract
The neurobiological underpinnings of gender differences in pain perception, and how these differences may be modified by age, are incompletely understood, placing patients at risk of suboptimal pain management. Using functional magnetic resonance imaging, we examined brain responses in the descending pain modulatory system (DPMS, specifically, dorsolateral prefrontal cortex, anterior cingulate cortex, insula, hypothalamus, amygdala, and periaqueductal gray, during an evoked pain task. We investigated the interaction of age and gender in our sample of healthy adults (27 females, 32 males, 30-86 years) on DPMS response. In a perceptually matched thermal pain paradigm, we investigated pain unpleasantness and neural responses for 3 heat pain percepts: just noticeable pain, weak pain, and moderate pain (MP). Females reported just noticeable pain at a lower temperature, but reported less unpleasantness at weak pain and MP percepts, compared to males. There was a significant age-by-gender interaction during moderate pain in the right anterior cingulate cortex and bilateral insula, such that, males had a stronger positive relationship between DPMS response and age compared to females in these regions. Our results indicate that differences in DPMS responses may explain some gender differences in pain perception and that this effect may change across the adult lifespan. PERSPECTIVE: Gender differences in pain have been well-documented but the brain mechanisms for these differences are still unclear. This article describes potential differences in brain functioning during different levels of pain that could explain differences in pain responses between men and women across the adult lifespan.
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Affiliation(s)
- Michelle D. Failla
- College of Nursing, The Ohio State University, Columbus, OH
- Nisonger Center, The Ohio State University, Columbus, OH
| | - Paul A. Beach
- Department of Neurology, Emory University, Atlanta, GA
| | | | | | - Stephen Bruehl
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN
| | - Ronald L. Cowan
- Departments of Psychiatry and Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, TN
| | - Todd B. Monroe
- College of Nursing, The Ohio State University, Columbus, OH
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Ching CRK, Kang MJY, Thompson PM. Large-Scale Neuroimaging of Mental Illness. Curr Top Behav Neurosci 2024. [PMID: 38554248 DOI: 10.1007/7854_2024_462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2024]
Abstract
Neuroimaging has provided important insights into the brain variations related to mental illness. Inconsistencies in prior studies, however, call for methods that lead to more replicable and generalizable brain markers that can reliably predict illness severity, treatment course, and prognosis. A paradigm shift is underway with large-scale international research teams actively pooling data and resources to drive consensus findings and test emerging methods aimed at achieving the goals of precision psychiatry. In parallel with large-scale psychiatric genomics studies, international consortia combining neuroimaging data are mapping the transdiagnostic brain signatures of mental illness on an unprecedented scale. This chapter discusses the major challenges, recent findings, and a roadmap for developing better neuroimaging-based tools and markers for mental illness.
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Affiliation(s)
- Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Melody J Y Kang
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
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Huang M, Ma H, Zou Y, Fan W, Tu L, Zhao J, Ma G, Diao N, Li X, Han P, Zhu L, Shi H. Structural alterations of brain in different disease states of Crohn's disease: Results of a cross-sectional study in a Chinese hospital. Heliyon 2024; 10:e27446. [PMID: 38510022 PMCID: PMC10951496 DOI: 10.1016/j.heliyon.2024.e27446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 02/28/2024] [Indexed: 03/22/2024] Open
Abstract
Rationale and objectives To investigate alterations in the brain structure in patients with Crohn's disease in activity (CD-A) and in remission (CD-R) compared to healthy controls (HCs) and explore the relationship between gray matter volume (GMV) and psychological disorders. Materials and methods A total of 127 CD patients (62 CD-A, 65 CD-R) and 92 healthy controls (HCs) were enrolled and analyzed in this study. The Crohn's disease activity index (CDAI) was used as the grouping criteria. Voxel-based morphometry (VBM) was applied to investigate gray matter volume (GMV), white matter volume (WMV) and global cerebrospinal fluid (CSF) volume alterations. Pearson correlation analysis was used to evaluate the relationships. Results The CSF volume was negatively correlated with the disease duration in CD-R. Increased GMV of CD was observed in the parahippocampal gyrus, precentral gyrus, precuneous cortex, and subcallosal cortex, decreased was located in the occipital pole, precentral gyrus, inferior temporal gyrus, middle frontal gyrus, angular gyrus, frontal pole, lateral occipital cortex, and lingual gyrus. The GMV in the right temporal pole, left precuneous cortex, and left cingulate gyrus had a positive correlation with erythrocyte and hemoglobin in CD groups. The GMV in the right frontal pole, right postcentral gyrus, and left cingulate gyrus had a negative correlation with somatization in the CD groups. The GMV in the right temporal pole had a negative correlation with psychoticism and other in the CD groups. The GMV in the left cingulate gyrus was positive with bowel symptoms and systemic symptoms in the CD groups. Conclusion Alterations of GMV in CD-A and CD-R and associated correlation with psychological disorders may provide evidence for possible neuro-mechanisms of CD with psychological disorders.
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Affiliation(s)
- Mengting Huang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Hui Ma
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Yan Zou
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Wenliang Fan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Lei Tu
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Zhao
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Guina Ma
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Nan Diao
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Xin Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Ping Han
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Liangru Zhu
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Heshui Shi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
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50
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Hill KA, Brinjikji W, Darin Carabenciov I. Contrast-induced encephalopathy following CT myelogram with non-ionic contrast. BMJ Case Rep 2024; 17:e259525. [PMID: 38553021 PMCID: PMC10982728 DOI: 10.1136/bcr-2023-259525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024] Open
Affiliation(s)
| | - Waleed Brinjikji
- Department of Radiology, Mayo Clinic Minnesota, Rochester, Minnesota, USA
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