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Pang H, Li X, Yu Z, Yu H, Bu S, Wang J, Zhao M, Liu Y, Jiang Y, Fan G. Disentangling gray matter atrophy and its neurotransmitter architecture in drug-naïve Parkinson's disease: an atlas-based correlation analysis. Cereb Cortex 2024; 34:bhae420. [PMID: 39420471 DOI: 10.1093/cercor/bhae420] [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: 06/14/2024] [Revised: 08/19/2024] [Accepted: 10/03/2024] [Indexed: 10/19/2024] Open
Abstract
Parkinson's disease is characterized by multiple neurotransmitter systems beyond the traditional dopaminergic pathway, yet their influence on volumetric alterations is not well comprehended. We included 72 de novo, drug-naïve Parkinson's disease patients and 61 healthy controls. Voxel-wise gray matter volume was evaluated between Parkinson's disease and healthy controls, as well as among Parkinson's disease subgroups categorized by clinical manifestations. The Juspace toolbox was utilized to explore the spatial relationship between gray matter atrophy and neurotransmitter distribution. Parkinson's disease patients exhibited widespread GM atrophy in the cerebral and cerebellar regions, with spatial correlations with various neurotransmitter receptors (FDR-P < 0.05). Cognitively impaired Parkinson's disease patients showed gray matter atrophy in the left middle temporal atrophy, which is associated with serotoninergic, dopaminergic, cholinergic, and glutamatergic receptors (FDR-P < 0.05). Postural and gait disorder patients showed atrophy in the right precuneus, which is correlated with serotoninergic, dopaminergic, gamma-aminobutyric acid, and opioid receptors (FDR-P < 0.05). Patients with anxiety showed atrophy in the right superior orbital frontal region; those with depression showed atrophy in the left lingual and right inferior occipital regions. Both conditions were linked to serotoninergic and dopaminergic receptors (FDR-P < 0.05). Parkinson's disease patients exhibited regional gray matter atrophy with a significant distribution of specific neurotransmitters, which might provide insights into the underlying pathophysiology of clinical manifestations and develop targeted intervention strategies.
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Affiliation(s)
- Huize Pang
- Department of Radiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, China
| | - Xiaolu Li
- Department of Radiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, China
| | - Ziyang Yu
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, 38 Zheda Road, Xihu District, Hangzhou, Zhejiang Province, 310027, China
| | - Hongmei Yu
- Department of Neurology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, China
| | - Shuting Bu
- Department of Radiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, China
| | - Juzhou Wang
- Department of Radiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, China
| | - Mengwan Zhao
- Department of Radiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, China
| | - Yu Liu
- Department of Radiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, China
| | - Yueluan Jiang
- MR Research Collaboration, Siemens Healthineers, 7 Wangjing Zhonghuan South Road, Chaoyang District, Beijing, 100102, China
| | - Guoguang Fan
- Department of Radiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, Liaoning Province, 110001, China
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Pedersen R, Johansson J, Nordin K, Rieckmann A, Wåhlin A, Nyberg L, Bäckman L, Salami A. Dopamine D1-Receptor Organization Contributes to Functional Brain Architecture. J Neurosci 2024; 44:e0621232024. [PMID: 38302439 PMCID: PMC10941071 DOI: 10.1523/jneurosci.0621-23.2024] [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: 04/03/2023] [Revised: 12/01/2023] [Accepted: 01/21/2024] [Indexed: 02/03/2024] Open
Abstract
Recent work has recognized a gradient-like organization in cortical function, spanning from primary sensory to transmodal cortices. It has been suggested that this axis is aligned with regional differences in neurotransmitter expression. Given the abundance of dopamine D1-receptors (D1DR), and its importance for modulation and neural gain, we tested the hypothesis that D1DR organization is aligned with functional architecture, and that inter-regional relationships in D1DR co-expression modulate functional cross talk. Using the world's largest dopamine D1DR-PET and MRI database (N = 180%, 50% female), we demonstrate that D1DR organization follows a unimodal-transmodal hierarchy, expressing a high spatial correspondence to the principal gradient of functional connectivity. We also demonstrate that individual differences in D1DR density between unimodal and transmodal regions are associated with functional differentiation of the apices in the cortical hierarchy. Finally, we show that spatial co-expression of D1DR primarily modulates couplings within, but not between, functional networks. Together, our results show that D1DR co-expression provides a biomolecular layer to the functional organization of the brain.
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Affiliation(s)
- Robin Pedersen
- Department of Integrative Medical Biology, Umeå University, Umeå S-90197, Sweden
- Wallenberg Center for Molecular Medicine (WCMM), Umeå University, Umeå S-90197, Sweden
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90197, Sweden
| | - Jarkko Johansson
- Department of Integrative Medical Biology, Umeå University, Umeå S-90197, Sweden
- Wallenberg Center for Molecular Medicine (WCMM), Umeå University, Umeå S-90197, Sweden
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90197, Sweden
| | - Kristin Nordin
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90197, Sweden
- Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm S-17165, Sweden
| | - Anna Rieckmann
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90197, Sweden
- Department of Radiation Sciences, Umeå University, Umeå S-90197, Sweden
- Max-Planck-Institut für Sozialrecht und Sozialpolitik, Munich 80799, Germany
| | - Anders Wåhlin
- Department of Integrative Medical Biology, Umeå University, Umeå S-90197, Sweden
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90197, Sweden
| | - Lars Nyberg
- Department of Integrative Medical Biology, Umeå University, Umeå S-90197, Sweden
- Wallenberg Center for Molecular Medicine (WCMM), Umeå University, Umeå S-90197, Sweden
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90197, Sweden
- Department of Radiation Sciences, Umeå University, Umeå S-90197, Sweden
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm S-17165, Sweden
| | - Alireza Salami
- Department of Integrative Medical Biology, Umeå University, Umeå S-90197, Sweden
- Wallenberg Center for Molecular Medicine (WCMM), Umeå University, Umeå S-90197, Sweden
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90197, Sweden
- Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm S-17165, Sweden
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Lin HM, Chang YT, Chen MH, Liu ST, Chen BS, Li L, Lee CY, Sue YR, Sung TM, Sun CK, Yeh PY. Structural and Functional Neural Correlates in Individuals with Excessive Smartphone Use: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16277. [PMID: 36498362 PMCID: PMC9739413 DOI: 10.3390/ijerph192316277] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 11/27/2022] [Accepted: 11/30/2022] [Indexed: 06/17/2023]
Abstract
Background: Despite known association of internet addiction with a reduced brain volume and abnormal connectivity, the impact of excessive smartphone use remains unclear. Methods: PubMed, Embase, ClinicalTrial.gov, and Web of Science databases were systematically searched from inception to July 2022 using appropriate keywords for observational studies comparing differences in brain volumes and activations between excessive smartphone users and individuals with regular use by magnetic resonance imaging. Results: Of the 11 eligible studies retrieved from 6993 articles initially screened, seven and six evaluated brain volumes and activations, respectively. The former enrolled 421 participants (165 excessive smartphone users vs. 256 controls), while the latter recruited 276 subjects with 139 excessive smartphone users. The results demonstrated a smaller brain volume in excessive smartphone users compared to the controls (g = −0.55, p < 0.001), especially in subcortical regions (p < 0.001). Besides, the impact was more pronounced in adolescents than in adults (p < 0.001). Regression analysis revealed a significant positive association between impulsivity and volume reduction. Regarding altered activations, the convergences of foci in the declive of the posterior lobe of cerebellum, the lingual gyrus, and the middle frontal gyrus were noted. Conclusions: Our findings demonstrated a potential association of excessive smartphone use with a reduced brain volume and altered activations.
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Affiliation(s)
- Hsiu-Man Lin
- Division of Child and Adolescent Psychiatry & Division of Developmental and Behavioral Pediatrics, China Medical University Children’s Hospital, Taichung 404327, Taiwan
| | - Yu-Tzu Chang
- School of Post Baccalaureate Chinese Medicine, China Medical University, Taichung 406040, Taiwan
- Division of Pediatric Neurology, China Medical University Children’s Hospital, Taichung 404327, Taiwan
| | - Meng-Hsiang Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
- College of Medicine, Chang Gung University, Kaohsiung 83300, Taiwan
| | - Shu-Tsen Liu
- Division of Child and Adolescent Psychiatry & Division of Developmental and Behavioral Pediatrics, China Medical University Children’s Hospital, Taichung 404327, Taiwan
| | - Bo-Shen Chen
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan
| | - Lin Li
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan
| | - Chiao-Yu Lee
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan
| | - Yu-Ru Sue
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan
| | - Tsai-Mei Sung
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan
| | - Cheuk-Kwan Sun
- Department of Emergency Medicine, E-Da Hospital, I-Shou University, Kaohsiung 824005, Taiwan
- School of Medicine for International Students, I-Shou University, Kaohsiung 82445, Taiwan
| | - Pin-Yang Yeh
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan
- Clinical Psychology Center, Asia University Hospital, Taichung 41354, Taiwan
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Simola J, Siebenhühner F, Myrov V, Kantojärvi K, Paunio T, Palva JM, Brattico E, Palva S. Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations. iScience 2022; 25:104985. [PMID: 36093050 PMCID: PMC9460523 DOI: 10.1016/j.isci.2022.104985] [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: 03/22/2022] [Revised: 06/15/2022] [Accepted: 08/16/2022] [Indexed: 11/01/2022] Open
Abstract
Neuronal oscillations, their inter-areal synchronization, and scale-free dynamics constitute fundamental mechanisms for cognition by regulating communication in neuronal networks. These oscillatory dynamics have large inter-individual variability that is partly heritable. We hypothesized that this variability could be partially explained by genetic polymorphisms in neuromodulatory genes. We recorded resting-state magnetoencephalography (MEG) from 82 healthy participants and investigated whether oscillation dynamics were influenced by genetic polymorphisms in catechol-O-methyltransferase (COMT) Val158Met and brain-derived neurotrophic factor (BDNF) Val66Met. Both COMT and BDNF polymorphisms influenced local oscillation amplitudes and their long-range temporal correlations (LRTCs), while only BDNF polymorphism affected the strength of large-scale synchronization. Our findings demonstrate that COMT and BDNF genetic polymorphisms contribute to inter-individual variability in neuronal oscillation dynamics. Comparison of these results to computational modeling of near-critical synchronization dynamics further suggested that COMT and BDNF polymorphisms influenced local oscillations by modulating the excitation-inhibition balance according to the brain criticality framework.
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Affiliation(s)
- Jaana Simola
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Haartmaninkatu 3, 00014 Helsinki, Finland
- Helsinki Collegium for Advanced Studies (HCAS), University of Helsinki, Finland
- BioMag Laboratory, HUS Medical Imaging Centre, 00029 HUS, Finland
| | - Felix Siebenhühner
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Haartmaninkatu 3, 00014 Helsinki, Finland
| | - Vladislav Myrov
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Haartmaninkatu 3, 00014 Helsinki, Finland
- Department of Neuroscience and Biomedical Engineering (NBE), Aalto University, 02150 Espoo, Finland
| | - Katri Kantojärvi
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, 00271 Helsinki, Finland
- Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, 00014 Helsinki, Finland
| | - Tiina Paunio
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, 00271 Helsinki, Finland
- Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, 00014 Helsinki, Finland
| | - J. Matias Palva
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Haartmaninkatu 3, 00014 Helsinki, Finland
- Department of Neuroscience and Biomedical Engineering (NBE), Aalto University, 02150 Espoo, Finland
- Centre for Cognitive Neuroimaging (CCNi), Institute of Neuroscience and Psychology, University of Glasgow, Glasgow G12 8QB, UK
| | - Elvira Brattico
- Center for Music in the Brain (MIB), Department of Clinical Medicine, Aarhus University &The Royal Academy of Music Aarhus/Aalborg, 8000 Aarhus C, Denmark
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, 70121 Bari, Italy
| | - Satu Palva
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Haartmaninkatu 3, 00014 Helsinki, Finland
- Centre for Cognitive Neuroimaging (CCNi), Institute of Neuroscience and Psychology, University of Glasgow, Glasgow G12 8QB, UK
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Saanijoki T, Kantonen T, Pekkarinen L, Kalliokoski K, Hirvonen J, Malén T, Tuominen L, Tuulari JJ, Arponen E, Nuutila P, Nummenmaa L. Aerobic Fitness Is Associated with Cerebral μ-Opioid Receptor Activation in Healthy Humans. Med Sci Sports Exerc 2022; 54:1076-1084. [PMID: 35195103 DOI: 10.1249/mss.0000000000002895] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
INTRODUCTION Central μ-opioid receptors (MORs) modulate affective responses to physical exercise. Individuals with higher aerobic fitness report greater exercise-induced mood improvements than those with lower fitness, but the link between cardiorespiratory fitness and the MOR system remains unresolved. Here we tested whether maximal oxygen uptake (V̇O2peak) and physical activity level are associated with cerebral MOR availability and whether these phenotypes predict endogenous opioid release after a session of exercise. METHODS We studied 64 healthy lean men who performed a maximal incremental cycling test for V̇O2peak determination, completed a questionnaire assessing moderate-to-vigorous physical activity (MVPA; in minutes per week), and underwent positron emission tomography with [11C]carfentanil, a specific radioligand for MOR. A subset of 24 subjects underwent additional positron emission tomography scan also after a 1-h session of moderate-intensity exercise and 12 of them also after a bout of high-intensity interval training. RESULTS Higher self-reported MVPA level predicted greater opioid release after high-intensity interval training, and both V̇O2peak and MVPA level were associated with a larger decrease in cerebral MOR binding after aerobic exercise in the ventral striatum, orbitofrontal cortex, and insula. That is, more trained individuals showed greater opioid release acutely after exercise in brain regions especially relevant for reward and cognitive processing. Fitness was not associated with MOR availability. CONCLUSIONS We conclude that regular exercise training and higher aerobic fitness may induce neuroadaptation within the MOR system, which might contribute to improved emotional and behavioral responses associated with long-term exercise.
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Affiliation(s)
| | | | | | | | | | - Tuulia Malén
- Turku PET Centre, University of Turku, Turku, FINLAND
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Blithikioti C, Nuño L, Guell X, Pascual-Diaz S, Gual A, Balcells-Olivero Μ, Miquel L. The cerebellum and psychological trauma: A systematic review of neuroimaging studies. Neurobiol Stress 2022; 17:100429. [PMID: 35146077 PMCID: PMC8801754 DOI: 10.1016/j.ynstr.2022.100429] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 12/10/2021] [Accepted: 01/10/2022] [Indexed: 12/17/2022] Open
Abstract
Psychological trauma is highly prevalent among psychiatric disorders, however, the relationship between trauma, neurobiology and psychopathology is not yet fully understood. The cerebellum has been recognized as a crucial structure for cognition and emotion, however, it has been relatively ignored in the literature of psychological trauma, as it is not considered as part of the traditional fear neuro-circuitry. The aim of this review is to investigate how psychological trauma affects the cerebellum and to make conclusive remarks on whether the cerebellum forms part of the trauma-affected brain circuitry. A total of 267 unique records were screened and 39 studies were included in the review. Structural cerebellar alterations and aberrant cerebellar activity and connectivity in trauma-exposed individuals were consistently reported across studies. Early-onset of adverse experiences was associated with cerebellar alterations in trauma-exposed individuals. Several studies reported alterations in connectivity between the cerebellum and nodes of large-brain networks, which are implicated in several psychiatric disorders, including the default mode network, the salience network and the central executive network. Also, trauma-exposed individuals showed altered resting state and task based cerebellar connectivity with cortical and subcortical structures that are involved in emotion and fear regulation. Our preferred interpretation of the results is through the lens of the Universal Cerebellar Transform, the hypothesis that the cerebellum, given its homogeneous cytoarchitecture, performs a common computation for motor, cognitive and emotional functions. Therefore, trauma-induced alterations in this computation might set the ground for a variety of psychiatric symptoms.
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Affiliation(s)
- C. Blithikioti
- Psychiatry Department, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - L. Nuño
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Grup de Recerca en Addiccions Clinic. GRAC, Institut Clinic de Neurosciències, Barcelona, Spain
| | - X. Guell
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - S. Pascual-Diaz
- Magnetic Resonance Imaging Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - A. Gual
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Μ. Balcells-Olivero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Grup de Recerca en Addiccions Clinic. GRAC, Institut Clinic de Neurosciències, Barcelona, Spain
| | - L. Miquel
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Grup de Recerca en Addiccions Clinic. GRAC, Institut Clinic de Neurosciències, Barcelona, Spain
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