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Cheng Y, Lin L, Jiang S, Huang P, Zhang J, Xin J, Xu H, Wang Y, Pan X. Aberrant microstructural integrity of white matter in mild and severe orthostatic hypotension: A NODDI study. CNS Neurosci Ther 2024; 30:e14586. [PMID: 38421091 PMCID: PMC10851318 DOI: 10.1111/cns.14586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 12/11/2023] [Accepted: 12/20/2023] [Indexed: 03/02/2024] Open
Abstract
OBJECTIVE Scarce evidence is available to elucidate the association between the abnormal microstructure of white matter (WM) and cognitive performance in patients with orthostatic hypotension (OH). This study investigated the microstructural integrity of WM in patients with mild OH (MOH) and severe OH (SOH) and evaluated the association of abnormal WM microstructure with the broad cognitive domains and cognition-related plasma biomarkers. METHODS Our study included 72 non-OH (NOH), 17 MOH, and 11 SOH participants. Across the groups, the WM integrity was analyzed by neurite orientation dispersion and density imaging (NODDI), and differences in WM microstructure were evaluated by nonparametric tests and post hoc models. The correlations between WM microstructure and broad cognitive domains and cognition-related plasma biomarkers were assessed by Spearman's correlation analysis. RESULTS The abnormal WM microstructure was localized to the WM fiber bundles in MOH patients but distributed widely in SOH cohorts (p < 0.05). Further analysis showed that the neurite density index of the left cingulate gyrus was negatively associated with amyloid β-40, glial fibrillary acidic protein, neurofilament light chain, phospho-tau181 (p < 0.05) but positively with global cognitive function (MOCA, MMSE, AER-III), memory, attention, language, language fluency, visuospatial function and amyloid β-40 / amyloid β-42 (p < 0.05). Additionally, other abnormal WM microstructures of OH were associated with broad cognitive domains and cognition-related plasma biomarkers to varying degrees. CONCLUSION The findings evidence that abnormal WM microstructures may present themselves as early as in the MOH phase and that these structural abnormalities are associated with cognitive functions and cognition-related plasma biomarkers.
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Affiliation(s)
- Yingzhe Cheng
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
| | - Lin Lin
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
| | - Shaofan Jiang
- Department of RadiologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for TumorsFujian Medical UniversityFuzhou CityChina
| | - Peilin Huang
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
| | - Jiejun Zhang
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
- Center for GeriatricsHainan General HospitalHainanChina
| | - Jiawei Xin
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
| | - Haibin Xu
- Fujian Medical UniversityFuzhou CityChina
| | - Yanping Wang
- Department of EndocrinologyFujian Medical University Union HospitalFuzhou CityChina
| | - Xiaodong Pan
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
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Bramson B, Meijer S, van Nuland A, Toni I, Roelofs K. Anxious individuals shift emotion control from lateral frontal pole to dorsolateral prefrontal cortex. Nat Commun 2023; 14:4880. [PMID: 37573436 PMCID: PMC10423291 DOI: 10.1038/s41467-023-40666-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 08/04/2023] [Indexed: 08/14/2023] Open
Abstract
Anxious individuals consistently fail in controlling emotional behavior, leading to excessive avoidance, a trait that prevents learning through exposure. Although the origin of this failure is unclear, one candidate system involves control of emotional actions, coordinated through lateral frontopolar cortex (FPl) via amygdala and sensorimotor connections. Using structural, functional, and neurochemical evidence, we show how FPl-based emotional action control fails in highly-anxious individuals. Their FPl is overexcitable, as indexed by GABA/glutamate ratio at rest, and receives stronger amygdalofugal projections than non-anxious male participants. Yet, high-anxious individuals fail to recruit FPl during emotional action control, relying instead on dorsolateral and medial prefrontal areas. This functional anatomical shift is proportional to FPl excitability and amygdalofugal projections strength. The findings characterize circuit-level vulnerabilities in anxious individuals, showing that even mild emotional challenges can saturate FPl neural range, leading to a neural bottleneck in the control of emotional action tendencies.
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Affiliation(s)
- Bob Bramson
- Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, 6525 EN, Nijmegen, The Netherlands.
- Behavioral Science Institute (BSI), Radboud University Nijmegen, 6525 HR, Nijmegen, The Netherlands.
| | - Sjoerd Meijer
- Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, 6525 EN, Nijmegen, The Netherlands
| | - Annelies van Nuland
- Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, 6525 EN, Nijmegen, The Netherlands
| | - Ivan Toni
- Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, 6525 EN, Nijmegen, The Netherlands
| | - Karin Roelofs
- Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, 6525 EN, Nijmegen, The Netherlands
- Behavioral Science Institute (BSI), Radboud University Nijmegen, 6525 HR, Nijmegen, The Netherlands
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3
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Giacometti C, Amiez C, Hadj-Bouziane F. Multiple routes of communication within the amygdala-mPFC network: A comparative approach in humans and macaques. CURRENT RESEARCH IN NEUROBIOLOGY 2023; 5:100103. [PMID: 37601951 PMCID: PMC10432920 DOI: 10.1016/j.crneur.2023.100103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 06/14/2023] [Accepted: 07/15/2023] [Indexed: 08/22/2023] Open
Abstract
The network formed by the amygdala (AMG) and the medial Prefrontal Cortex (mPFC), at the interface between our internal and external environment, has been shown to support some important aspects of behavioral adaptation. Whether and how the anatomo-functional organization of this network evolved across primates remains unclear. Here, we compared AMG nuclei morphological characteristics and their functional connectivity with the mPFC in humans and macaques to identify potential homologies and differences between these species. Based on selected studies, we highlight two subsystems within the AMG-mPFC circuits, likely involved in distinct temporal dynamics of integration during behavioral adaptation. We also show that whereas the mPFC displays a large expansion but a preserved intrinsic anatomo-functional organization, the AMG displays a volume reduction and morphological changes related to specific nuclei. We discuss potential commonalities and differences in the dialogue between AMG nuclei and mPFC in humans and macaques based on available data.
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Affiliation(s)
- C. Giacometti
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France
| | - C. Amiez
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France
| | - F. Hadj-Bouziane
- Integrative Multisensory Perception Action & Cognition Team (ImpAct), INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center (CRNL), University of Lyon 1, Lyon, France
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4
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Xing J, Xu X, Li X, Luo Q. Psychological Resilience Interventions for Adolescents during the COVID-19 Pandemic. Behav Sci (Basel) 2023; 13:543. [PMID: 37503990 PMCID: PMC10376838 DOI: 10.3390/bs13070543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/18/2023] [Accepted: 06/25/2023] [Indexed: 07/29/2023] Open
Abstract
The COVID-19 pandemic has had severe mental health effects on adolescents. Psychological resilience is the ability to recover quickly from adversity and can help adolescents cope with the stress and dangers brought by the pandemic better. Therefore, the current study aimed to explore the developmental pattern of psychological resilience in adolescents and to find the sensitive period for psychological resilience intervention to promote resilience in adolescents during the pandemic. The study measured the psychological resilience of a total of 559 adolescents using the Connor-Davidson resilience scale (CD-RISC) in four grades: grade 7 and grade 8 in a junior high school, and grade 10 and grade 11 in a high school. It was found that the resilience level of the adolescents decreased in grade 10 and then increased significantly in grade 11 (F = 4.22, p = 0.006). A 4-week resilience intervention was conducted in the four grades using both psychological course training and physical training. The results revealed that the psychological course training was effective in promoting resilience in the 7th (F = 4.79, p = 0.03) and 8th (F = 4.75, p = 0.03) grades, but not in the 10th and 11th grades. The result suggests that the 7th and 8th grades may be a critical period for psychological resilience interventions for adolescents.
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Affiliation(s)
- Jingwen Xing
- School of Primary Education, Shanghai Normal University Tianhua College, Shanghai 201815, China
| | - Xiaofeng Xu
- School of Health, Shanghai Normal University Tianhua College, Shanghai 201815, China
| | - Xing Li
- School of Psychology, Central China Normal University, Wuhan 430079, China
| | - Qing Luo
- School of Public Policy and Administration, Nanchang University, Nanchang 330031, China
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5
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Legouhy A, Allen LA, Vos SB, Oliveira JFA, Kassinopoulos M, Winston GP, Duncan JS, Ogren JA, Scott C, Kumar R, Lhatoo SD, Thom M, Lemieux L, Harper RM, Zhang H, Diehl B. Volumetric and microstructural abnormalities of the amygdala in focal epilepsy with varied levels of SUDEP risk. Epilepsy Res 2023; 192:107139. [PMID: 37068421 DOI: 10.1016/j.eplepsyres.2023.107139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/24/2023] [Accepted: 04/06/2023] [Indexed: 04/19/2023]
Abstract
Although the mechanisms of sudden unexpected death in epilepsy (SUDEP) are not yet well understood, generalised- or focal-to-bilateral tonic-clonic seizures (TCS) are a major risk factor. Previous studies highlighted alterations in structures linked to cardio-respiratory regulation; one structure, the amygdala, was enlarged in people at high risk of SUDEP and those who subsequently died. We investigated volume changes and the microstructure of the amygdala in people with epilepsy at varied risk for SUDEP since that structure can play a key role in triggering apnea and mediating blood pressure. The study included 53 healthy subjects and 143 patients with epilepsy, the latter separated into two groups according to whether TCS occur in years before scan. We used amygdala volumetry, derived from structural MRI, and tissue microstructure, derived from diffusion MRI, to identify differences between the groups. The diffusion metrics were obtained by fitting diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) models. The analyses were performed at the whole amygdala level and at the scale of amygdaloid nuclei. Patients with epilepsy showed larger amygdala volumes and lower neurite density indices (NDI) than healthy subjects; the left amygdala volumes were especially enhanced. Microstructural changes, reflected by NDI differences, were more prominent on the left side and localized in the lateral, basal, central, accessory basal and paralaminar amygdala nuclei; basolateral NDI lowering appeared bilaterally. No significant microstructural differences appeared between epilepsy patients with and without current TCS. The central amygdala nuclei, with prominent interactions from surrounding nuclei of that structure, project to cardiovascular regions and respiratory phase switching areas of the parabrachial pons, as well as to the periaqueductal gray. Consequently, they have the potential to modify blood pressure and heart rate, and induce sustained apnea or apneusis. The findings here suggest that lowered NDI, indicative of reduced dendritic density, could reflect an impaired structural organization influencing descending inputs that modulate vital respiratory timing and drive sites and areas critical for blood pressure control.
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Affiliation(s)
- Antoine Legouhy
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
| | - Luke A Allen
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK; The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Sjoerd B Vos
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, UCL, London, UK; Centre for Microscopy, Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - Joana F A Oliveira
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
| | - Michalis Kassinopoulos
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK
| | - Gavin P Winston
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK; Division of Neurology, Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK
| | - Jennifer A Ogren
- The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA; Brain Research Institute, UCLA, Los Angeles, CA, USA
| | - Catherine Scott
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Rajesh Kumar
- Brain Research Institute, UCLA, Los Angeles, CA, USA; Department of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Bioengineering, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Samden D Lhatoo
- Department of Neurology, University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Maria Thom
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
| | - Louis Lemieux
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK
| | - Ronald M Harper
- The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA; Brain Research Institute, UCLA, Los Angeles, CA, USA; Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Hui Zhang
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Beate Diehl
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK; The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
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6
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Legouhy A, Allen LA, Vos SB, Oliveira JFA, Kassinopoulos M, Winston GP, Duncan JS, Ogren JA, Scott C, Kumar R, Lhatoo SD, Thom M, Lemieux L, Harper RM, Zhang H, Diehl B. Volumetric and microstructural abnormalities of the amygdala in focal epilepsy with varied levels of SUDEP risk. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.13.23287045. [PMID: 36993394 PMCID: PMC10055456 DOI: 10.1101/2023.03.13.23287045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Although the mechanisms of sudden unexpected death in epilepsy (SUDEP) are not yet well understood, generalised- or focal-to-bilateral tonic-clonic seizures (TCS) are a major risk factor. Previous studies highlighted alterations in structures linked to cardio-respiratory regulation; one structure, the amygdala, was enlarged in people at high risk of SUDEP and those who subsequently died. We investigated volume changes and the microstructure of the amygdala in people with epilepsy at varied risk for SUDEP since that structure can play a key role in triggering apnea and mediating blood pressure. The study included 53 healthy subjects and 143 patients with epilepsy, the latter separated into two groups according to whether TCS occur in years before scan. We used amygdala volumetry, derived from structural MRI, and tissue microstructure, derived from diffusion MRI, to identify differences between the groups. The diffusion metrics were obtained by fitting diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) models. The analyses were performed at the whole amygdala level and at the scale of amygdaloid nuclei. Patients with epilepsy showed larger amygdala volumes and lower neurite density indices (NDI) than healthy subjects; the left amygdala volumes were especially enhanced. Microstructural changes, reflected by NDI differences, were more prominent on the left side and localized in the lateral, basal, central, accessory basal and paralaminar amygdala nuclei; basolateral NDI lowering appeared bilaterally. No significant microstructural differences appeared between epilepsy patients with and without current TCS. The central amygdala nuclei, with prominent interactions from surrounding nuclei of that structure, project to cardiovascular regions and respiratory phase switching areas of the parabrachial pons, as well as to the periaqueductal gray. Consequently, they have the potential to modify blood pressure and heart rate, and induce sustained apnea or apneusis. The findings here suggest that lowered NDI, indicative of reduced dendritic density, could reflect an impaired structural organization influencing descending inputs that modulate vital respiratory timing and drive sites and areas critical for blood pressure control.
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Affiliation(s)
- Antoine Legouhy
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Luke A Allen
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK
- The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Sjoerd B Vos
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, UCL, London, UK
- Centre for Microscopy, Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - Joana F A Oliveira
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
| | - Michalis Kassinopoulos
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK
| | - Gavin P Winston
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK
- Division of Neurology, Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - John S Duncan
- Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK
| | - Jennifer A Ogren
- The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
- Brain Research Institute, UCLA, Los Angeles, CA, USA
| | - Catherine Scott
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Rajesh Kumar
- The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
- Department of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Department of Bioengineering, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Samden D Lhatoo
- Department of Neurology, University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Maria Thom
- Department of Neuropathology, Institute of Neurology, University College London, London, UK
| | - Louis Lemieux
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK
| | - Ronald M Harper
- The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
- Brain Research Institute, UCLA, Los Angeles, CA, USA
- Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Hui Zhang
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Beate Diehl
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Epilepsy Society MRI Unit, Chalfont St Peter, Buckinghamshire, UK
- The Center for SUDEP Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
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7
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Tan S, Zhou C, Wen J, Duanmu X, Guo T, Wu H, Wu J, Cao Z, Liu X, Chen J, Wu C, Qin J, Xu J, Gu L, Yan Y, Zhang B, Zhang M, Guan X, Xu X. Presence but not the timing of onset of REM sleep behavior disorder distinguishes evolution patterns in Parkinson's disease. Neurobiol Dis 2023; 180:106084. [PMID: 36931531 DOI: 10.1016/j.nbd.2023.106084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 03/09/2023] [Accepted: 03/14/2023] [Indexed: 03/17/2023] Open
Abstract
BACKGROUND Rapid eye movement (REM) sleep behavior disorder (RBD) could develop preceding or come after motor symptoms during Parkinson's disease (PD). It remains unknown that whether PD with different timing of RBD onset relative to motor symptoms suggests different spatiotemporal sequence of neurodegeneration. This study aimed to explore the sequence of disease progression in crucially involved brain regions in PD with different timing of RBD onset. METHOD We recruited 157 PD, 16 isolated RBD (iRBD), and 78 healthy controls. PD patients were identified as (1) PD with RBD preceding motor symptoms (PD-preRBD, n = 50), (2) PD with RBD posterior to motor symptoms (PD-postRBD, n = 31), (3) PD without RBD (PD-nonRBD, n = 75). The volumes of crucial brain regions, including the basal ganglia and limbic structures in T1-weighted imaging, and the contrast-noise-ratios of locus coeruleus (LC) and substantia nigra (SN) in neuromelanin-sensitive magnetic resonance imaging, were extracted. To simulate the sequence of disease progression for cross-sectional data, an event-based model was introduced to estimate the maximum likelihood sequence of regions' involvement for each group. Then, a statistical parameter, the Bhattacharya coefficient (BC), was used to evaluate the similarity of the sequence. RESULTS The model predicted that SN occupied the highest likelihood in the maximum likelihood sequence of disease progression in the all PD subgroups, while LC was specifically positioned earlier to SN in iRBD, a prodromal phase of PD. Subsequent early involvement of LC was observed in the both PD-preRBD and PD-postRBD. In contrast, atrophy in the para-hippocampal gyrus but relatively intact LC in the early stage was demonstrated in PD-nonRBD. Then, the similarity comparisons indicated higher BC between PD-postRBD and PD-preRBD (BC = 0.76) but lower BC between PD-postRBD and PD-nonRBD group (BC = 0.41). iRBD had higher BC against PD-preRBD (BC = 0.66) and PD-postRBD (BC = 0.63) but lower BC against PD- nonRBD (BC = 0.48). CONCLUSION The spatiotemporal sequence of neurodegeneration between PD-pre and PD-post were similar but distinct from PD-nonRBD. The presence of RBD may be the essential factor for differentiating the degeneration patterns of PD, but the timing of RBD onset has currently proved to be not.
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Affiliation(s)
- Sijia Tan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Cheng Zhou
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jiaqi Wen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xiaojie Duanmu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Tao Guo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Haoting Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jingjing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Zhengye Cao
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xiaocao Liu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jingwen Chen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Chenqing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jianmei Qin
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jingjing Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Luyan Gu
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Yaping Yan
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Baorong Zhang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xiaojun Guan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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8
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Immature excitatory neurons in the amygdala come of age during puberty. Dev Cogn Neurosci 2022; 56:101133. [PMID: 35841648 PMCID: PMC9289873 DOI: 10.1016/j.dcn.2022.101133] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/23/2022] [Accepted: 07/08/2022] [Indexed: 11/21/2022] Open
Abstract
The human amygdala is critical for emotional learning, valence coding, and complex social interactions, all of which mature throughout childhood, puberty, and adolescence. Across these ages, the amygdala paralaminar nucleus (PL) undergoes significant structural changes including increased numbers of mature neurons. The PL contains a large population of immature excitatory neurons at birth, some of which may continue to be born from local progenitors. These progenitors disappear rapidly in infancy, but the immature neurons persist throughout childhood and adolescent ages, indicating that they develop on a protracted timeline. Many of these late-maturing neurons settle locally within the PL, though a small subset appear to migrate into neighboring amygdala subnuclei. Despite its prominent growth during postnatal life and possible contributions to multiple amygdala circuits, the function of the PL remains unknown. PL maturation occurs predominately during late childhood and into puberty when sex hormone levels change. Sex hormones can promote developmental processes such as neuron migration, dendritic outgrowth, and synaptic plasticity, which appear to be ongoing in late-maturing PL neurons. Collectively, we describe how the growth of late-maturing neurons occurs in the right time and place to be relevant for amygdala functions and neuropsychiatric conditions.
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Ocklenburg S, Peterburs J, Mundorf A. Hemispheric asymmetries in the amygdala: a comparative primer. Prog Neurobiol 2022; 214:102283. [DOI: 10.1016/j.pneurobio.2022.102283] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 04/18/2022] [Accepted: 05/02/2022] [Indexed: 11/16/2022]
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Banihashemi L, Peng CW, Rangarajan A, Karim HT, Wallace ML, Sibbach BM, Singh J, Stinley MM, Germain A, Aizenstein HJ. Childhood Threat Is Associated With Lower Resting-State Connectivity Within a Central Visceral Network. Front Psychol 2022; 13:805049. [PMID: 35310241 PMCID: PMC8927539 DOI: 10.3389/fpsyg.2022.805049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 02/09/2022] [Indexed: 11/25/2022] Open
Abstract
Childhood adversity is associated with altered or dysregulated stress reactivity; these altered patterns of physiological functioning persist into adulthood. Evidence from both preclinical animal models and human neuroimaging studies indicates that early life experience differentially influences stressor-evoked activity within central visceral neural circuits proximally involved in the control of stress responses, including the subgenual anterior cingulate cortex (sgACC), paraventricular nucleus of the hypothalamus (PVN), bed nucleus of the stria terminalis (BNST) and amygdala. However, the relationship between childhood adversity and the resting-state connectivity of this central visceral network remains unclear. To this end, we examined relationships between childhood threat and childhood socioeconomic deprivation, the resting-state connectivity between our regions of interest (ROIs), and affective symptom severity and diagnoses. We recruited a transdiagnostic sample of young adult males and females (n = 100; mean age = 27.28, SD = 3.99; 59 females) with a full distribution of maltreatment history and symptom severity across multiple affective disorders. Resting-state data were acquired using a 7.2-min functional magnetic resonance imaging (fMRI) sequence; noted ROIs were applied as masks to determine ROI-to-ROI connectivity. Threat was determined by measures of childhood traumatic events and abuse. Socioeconomic deprivation (SED) was determined by a measure of childhood socioeconomic status (parental education level). Covarying for age, race and sex, greater childhood threat was significantly associated with lower BNST-PVN, amygdala-sgACC and PVN-sgACC connectivity. No significant relationships were found between SED and resting-state connectivity. BNST-PVN connectivity was associated with the number of lifetime affective diagnoses. Exposure to threat during early development may entrain altered patterns of resting-state connectivity between these stress-related ROIs in ways that contribute to dysregulated neural and physiological responses to stress and subsequent affective psychopathology.
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Affiliation(s)
- Layla Banihashemi
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
- *Correspondence: Layla Banihashemi,
| | - Christine W. Peng
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Anusha Rangarajan
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States
| | - Helmet T. Karim
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States
| | - Meredith L. Wallace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Brandon M. Sibbach
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Jaspreet Singh
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, United States
| | - Mark M. Stinley
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Anne Germain
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Howard J. Aizenstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
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