1
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Fang K, Hou Y, Niu L, Han S, Zhang W. Individualized gray matter morphological abnormalities uncover two robust transdiagnostic biotypes. J Affect Disord 2024; 365:S0165-0327(24)01324-7. [PMID: 39173920 DOI: 10.1016/j.jad.2024.08.102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/22/2024] [Accepted: 08/19/2024] [Indexed: 08/24/2024]
Abstract
Psychiatric disorders exhibit a shared neuropathology, yet the diverse presentations among patients necessitate the identification of transdiagnostic subtypes to enhance diagnostic and treatment strategies. This study aims to unveil potential transdiagnostic subtypes based on personalized gray matter morphological abnormalities. A total of 496 patients with psychiatric disorders and 255 healthy controls (HCs) from three distinct datasets (one for discovery and two for validation) were enrolled. Individualized gray matter morphological abnormalities were determined using normative modeling to identify transdiagnostic subtypes. In the discovery dataset, two transdiagnostic subtypes with contrasting patterns of structural abnormalities compared to HCs were identified. Reproducibility and generalizability analyses demonstrated that these subtypes could be generalized to new patients and even to new disorders in the validation datasets. These subtypes were characterized by distinct disease epicenters. The gray matter abnormal pattern in subtype 1 was mainly linked to excitatory receptors, whereas subtype 2 showed a predominant association with inhibitory receptors. Furthermore, we observed that the gray matter abnormal pattern in subtype 2 was correlated with transcriptional profiles of inflammation-related genes, while subtype 1 did not show this association. Our findings reveal two robust transdiagnostic biotypes, offering novel insights into psychiatric nosology.
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Affiliation(s)
- Keke Fang
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, China; Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, China; Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, China
| | - Ying Hou
- Department of ultrasound, the affiliated cancer hospital of Zhengzhou University & Henan Cancer Hospital, China
| | - Lianjie Niu
- Department of Breast Disease, Henan Breast Cancer Center, the affiliated Cancer Hidospital of Zhengzhou University & Henan Cancer Hospital, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Henan Province, China.
| | - Wenzhou Zhang
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, China; Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, China; Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, China.
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2
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Luppi AI, Singleton SP, Hansen JY, Jamison KW, Bzdok D, Kuceyeski A, Betzel RF, Misic B. Contributions of network structure, chemoarchitecture and diagnostic categories to transitions between cognitive topographies. Nat Biomed Eng 2024:10.1038/s41551-024-01242-2. [PMID: 39103509 DOI: 10.1038/s41551-024-01242-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/02/2024] [Indexed: 08/07/2024]
Abstract
The mechanisms linking the brain's network structure to cognitively relevant activation patterns remain largely unknown. Here, by leveraging principles of network control, we show how the architecture of the human connectome shapes transitions between 123 experimentally defined cognitive activation maps (cognitive topographies) from the NeuroSynth meta-analytic database. Specifically, we systematically integrated large-scale multimodal neuroimaging data from functional magnetic resonance imaging, diffusion tractography, cortical morphometry and positron emission tomography to simulate how anatomically guided transitions between cognitive states can be reshaped by neurotransmitter engagement or by changes in cortical thickness. Our model incorporates neurotransmitter-receptor density maps (18 receptors and transporters) and maps of cortical thickness pertaining to a wide range of mental health, neurodegenerative, psychiatric and neurodevelopmental diagnostic categories (17,000 patients and 22,000 controls). The results provide a comprehensive look-up table charting how brain network organization and chemoarchitecture interact to manifest different cognitive topographies, and establish a principled foundation for the systematic identification of ways to promote selective transitions between cognitive topographies.
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Affiliation(s)
- Andrea I Luppi
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
| | - S Parker Singleton
- Department of Computational Biology, Cornell University, Ithaca, NY, USA
| | - Justine Y Hansen
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Keith W Jamison
- Department of Computational Biology, Cornell University, Ithaca, NY, USA
| | - Danilo Bzdok
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- MILA, Quebec Artificial Intelligence Institute, Montreal, Quebec, Canada
| | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Richard F Betzel
- Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
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3
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Qu J, Qu Y, Zhu R, Wu Y, Xu G, Wang D. Transcriptional expression patterns of the cortical morphometric similarity network in progressive supranuclear palsy. CNS Neurosci Ther 2024; 30:e14901. [PMID: 39097922 PMCID: PMC11298202 DOI: 10.1111/cns.14901] [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: 06/10/2024] [Revised: 07/09/2024] [Accepted: 07/24/2024] [Indexed: 08/06/2024] Open
Abstract
BACKGROUND It has been demonstrated that progressive supranuclear palsy (PSP) correlates with structural abnormalities in several distinct regions of the brain. However, whether there are changes in the morphological similarity network (MSN) and the relationship between changes in brain structure and gene expression remain largely unknown. METHODS We used two independent cohorts (discovery dataset: PSP: 51, healthy controls (HC): 82; replication dataset: PSP: 53, HC: 55) for MSN analysis and comparing the longitudinal changes in the MSN of PSP. Then, we applied partial least squares regression to determine the relationships between changes in MSN and spatial transcriptional features and identified specific genes associated with MSN differences in PSP. We further investigated the biological processes enriched in PSP-associated genes and the cellular characteristics of these genes, and finally, we performed an exploratory analysis of the relationship between MSN changes and neurotransmitter receptors. RESULTS We found that the MSN in PSP patients was mainly decreased in the frontal and temporal cortex but increased in the occipital cortical region. This difference is replicable. In longitudinal studies, MSN differences are mainly manifested in the frontal and parietal regions. Furthermore, the expression pattern associated with MSN changes in PSP involves genes implicated in astrocytes and excitatory and inhibitory neurons and is functionally enriched in neuron-specific biological processes related to synaptic signaling. Finally, we found that the changes in MSN were mainly negatively correlated with the levels of serotonin, norepinephrine, and opioid receptors. CONCLUSIONS These results have enhanced our understanding of the microscale genetic and cellular mechanisms responsible for large-scale morphological abnormalities in PSP patients, suggesting potential targets for future therapeutic trials.
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Affiliation(s)
- Junyu Qu
- Department of RadiologyQilu Hospital of Shandong University, Qilu Medical Imaging Institute of Shandong UniversityJinanChina
| | - Yancai Qu
- Department of NeurosurgeryTraditional Chinese Medicine Hospital of Muping DistrictYantaiChina
| | - Rui Zhu
- Department of RadiologyQilu Hospital of Shandong University, Qilu Medical Imaging Institute of Shandong UniversityJinanChina
| | - Yongsheng Wu
- Department of RadiologyQilu Hospital of Shandong University, Qilu Medical Imaging Institute of Shandong UniversityJinanChina
| | - Guihua Xu
- Department of RadiologyQilu Hospital of Shandong University, Qilu Medical Imaging Institute of Shandong UniversityJinanChina
| | - Dawei Wang
- Department of RadiologyQilu Hospital of Shandong University, Qilu Medical Imaging Institute of Shandong UniversityJinanChina
- Magnetic Field‐free Medicine & Functional ImagingResearch Institute of Shandong UniversityJinanChina
- Magnetic Field‐free Medicine & Functional Imaging (MF)Shandong Key LaboratoryJinanChina
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4
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Papenberg G, Karalija N, Johansson J, Andersson M, Axelsson J, Riklund K, Lindenberger U, Nyberg L, Bäckman L. The influence of hippocampal dopamine D2 receptor losses on episodic-memory decline across 5 years is moderated by BDNF and KIBRA polymorphisms. Cortex 2024; 176:53-61. [PMID: 38749085 DOI: 10.1016/j.cortex.2024.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 12/01/2023] [Accepted: 01/16/2024] [Indexed: 06/11/2024]
Abstract
Losses in dopamine (DA) functioning may contribute to aging-related decline in cognition. Hippocampal DA is necessary for successful episodic memory formation. Previously, we reported that higher DA D2 receptor (D2DR) availability in hippocampus is beneficial for episodic memory only in older carriers of more advantageous genotypes of well-established plasticity-related genetic variations, the brain-derived neurotrophic factor (BDNF, rs6265) and the kidney and brain expressed protein (KIBRA, rs17070145) polymorphisms. Extending our observations to the longitudinal level, the current data show that individuals with one or no beneficial BDNF and KIBRA genotype (n = 80) decline more in episodic memory across five years, without any contribution of losses in hippocampal D2DR availability to memory decline. Although carriers of two beneficial genotypes (n = 39) did not decline overall in episodic memory, losses of hippocampal D2DR availability were predictive of episodic-memory decline among these individuals. Our findings have implications for interventions targeting DA modulation to enhance episodic memory in aging, which may not benefit all older individuals.
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Affiliation(s)
- Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
| | - Nina Karalija
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden; Department of Medical and Translational Biology, Umeå University, Umeå, Sweden
| | - Jarkko Johansson
- Department of Diagnostics and Intervention, Umeå University, Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Micael Andersson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden; Department of Medical and Translational Biology, Umeå University, Umeå, Sweden
| | - Jan Axelsson
- Department of Diagnostics and Intervention, Umeå University, Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Katrine Riklund
- Department of Diagnostics and Intervention, Umeå University, Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Lars Nyberg
- Department of Diagnostics and Intervention, Umeå University, Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden; Department of Medical and Translational Biology, Umeå University, Umeå, Sweden
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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5
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Wakeford AGP, Nye JA, Morin EL, Mun J, Meyer JS, Goodman M, Howell LL, Sanchez MM. Alterations in adolescent brain serotonin (5HT) 1A, 5HT 2A, and dopamine (D) 2 receptor systems in a nonhuman primate model of early life adversity. Neuropsychopharmacology 2024; 49:1227-1235. [PMID: 38671147 PMCID: PMC11224234 DOI: 10.1038/s41386-023-01784-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 10/30/2023] [Accepted: 12/04/2023] [Indexed: 04/28/2024]
Abstract
Stress affects brain serotonin (5HT) and dopamine (DA) function, and the effectiveness of 5HT and DA to regulate stress and emotional responses. However, our understanding of the long-term impact of early life adversity (ELA) on primate brain monoaminergic systems during adolescence is scarce and inconsistent. Filling this gap in the literature is critical, given that the emergence of psychopathology during adolescence has been related to deficits in these systems. Here, we use a translational nonhuman primate (NHP) model of ELA (infant maltreatment by the mother) to examine the long-term impact of ELA on adolescent 5HT1A, 5HT2A and D2 receptor systems. These receptor systems were chosen based on their involvement in stress/emotional control, as well as reward and reinforcement. Rates of maternal abuse, rejection, and infant's vocalizations were obtained during the first three postnatal months, and hair cortisol concentrations obtained at 6 months postnatal were examined as early predictors of binding potential (BP) values obtained during adolescence using positron emission tomography (PET) imaging. Maltreated animals demonstrated significantly lower 5HT1A receptor BP in prefrontal cortical areas as well as the amygdala and hippocampus, and lower 5HT2A receptor BP in striatal and prefrontal cortical areas. Maltreated animals also demonstrated significantly lower D2 BP in the amygdala. None of the behavioral and neuroendocrine measurements obtained early in life predicted any changes in BP data. Our findings suggest that early caregiving experiences regulate the development of brain 5HT and DA systems in primates, resulting in long-term effects evident during adolescence.
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Affiliation(s)
- Alison G P Wakeford
- Division of Neuropharmacology and Neurologic Diseases, Emory National Primate Research Center, Emory University, 954 Gatewood Rd NE, Atlanta, GA, 30329, USA
- Department of Psychiatry & Behavioral Sciences, Emory University, 12 Executive Park Dr NE #200, Atlanta, GA, 30329, USA
| | - Jonathon A Nye
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Rd. NE, Atlanta, GA, 30329, USA
| | - Elyse L Morin
- Department of Psychiatry & Behavioral Sciences, Emory University, 12 Executive Park Dr NE #200, Atlanta, GA, 30329, USA
- Division of Developmental and Cognitive Neuroscience, Emory National Primate Research Center, Emory University, 954 Gatewood Rd NE, Atlanta, GA, 30329, USA
| | - Jiyoung Mun
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Rd. NE, Atlanta, GA, 30329, USA
| | - Jerrold S Meyer
- Department of Psychological & Brain Sciences, University of Massachusetts, 441 Tobin Hall, Amherst, MA, 01003, USA
| | - Mark Goodman
- Department of Radiology and Imaging Sciences, Emory University, 1364 Clifton Rd. NE, Atlanta, GA, 30329, USA
| | - Leonard L Howell
- Division of Neuropharmacology and Neurologic Diseases, Emory National Primate Research Center, Emory University, 954 Gatewood Rd NE, Atlanta, GA, 30329, USA
- Department of Psychiatry & Behavioral Sciences, Emory University, 12 Executive Park Dr NE #200, Atlanta, GA, 30329, USA
| | - Mar M Sanchez
- Department of Psychiatry & Behavioral Sciences, Emory University, 12 Executive Park Dr NE #200, Atlanta, GA, 30329, USA.
- Division of Developmental and Cognitive Neuroscience, Emory National Primate Research Center, Emory University, 954 Gatewood Rd NE, Atlanta, GA, 30329, USA.
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6
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Morys F, Tremblay C, Rahayel S, Hansen JY, Dai A, Misic B, Dagher A. Neural correlates of obesity across the lifespan. Commun Biol 2024; 7:656. [PMID: 38806652 PMCID: PMC11133431 DOI: 10.1038/s42003-024-06361-9] [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: 12/04/2023] [Accepted: 05/20/2024] [Indexed: 05/30/2024] Open
Abstract
Associations between brain and obesity are bidirectional: changes in brain structure and function underpin over-eating, while chronic adiposity leads to brain atrophy. Investigating brain-obesity interactions across the lifespan can help better understand these relationships. This study explores the interaction between obesity and cortical morphometry in children, young adults, adults, and older adults. We also investigate the genetic, neurochemical, and cognitive correlates of the brain-obesity associations. Our findings reveal a pattern of lower cortical thickness in fronto-temporal brain regions associated with obesity across all age cohorts and varying age-dependent patterns in the remaining brain regions. In adults and older adults, obesity correlates with neurochemical changes and expression of inflammatory and mitochondrial genes. In children and older adults, adiposity is associated with modifications in brain regions involved in emotional and attentional processes. Thus, obesity might originate from cognitive changes during early adolescence, leading to neurodegeneration in later life through mitochondrial and inflammatory mechanisms.
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Affiliation(s)
- Filip Morys
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada.
| | - Christina Tremblay
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Shady Rahayel
- Department of Medicine and Medical Specialties, University of Montreal, Montreal, QC, Canada
- Center for Advanced Research in Sleep Medicine, Hopital du Sacre-Coeur de Montreal, Montreal, QC, Canada
| | - Justine Y Hansen
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Alyssa Dai
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
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7
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Karalija N, Papenberg G, Johansson J, Wåhlin A, Salami A, Andersson M, Axelsson J, Kuznetsov D, Riklund K, Lövdén M, Lindenberger U, Bäckman L, Nyberg L. Longitudinal support for the correlative triad among aging, dopamine D2-like receptor loss, and memory decline. Neurobiol Aging 2024; 136:125-132. [PMID: 38359585 DOI: 10.1016/j.neurobiolaging.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 01/25/2024] [Accepted: 02/01/2024] [Indexed: 02/17/2024]
Abstract
Dopamine decline is suggested to underlie aging-related cognitive decline, but longitudinal examinations of this link are currently missing. We analyzed 5-year longitudinal data for a sample of healthy, older adults (baseline: n = 181, age: 64-68 years; 5-year follow-up: n = 129) who underwent positron emission tomography with 11C-raclopride to assess dopamine D2-like receptor (DRD2) availability, magnetic resonance imaging to evaluate structural brain measures, and cognitive tests. Health, lifestyle, and genetic data were also collected. A data-driven approach (k-means cluster analysis) identified groups that differed maximally in DRD2 decline rates in age-sensitive brain regions. One group (n = 47) had DRD2 decline exclusively in the caudate and no cognitive decline. A second group (n = 72) had more wide-ranged DRD2 decline in putamen and nucleus accumbens and also in extrastriatal regions. The latter group showed significant 5-year working memory decline that correlated with putamen DRD2 decline, along with higher dementia and cardiovascular risk and a faster biological pace of aging. Taken together, for individuals with more extensive DRD2 decline, dopamine decline is associated with memory decline in aging.
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Affiliation(s)
- Nina Karalija
- Department of Medical and Translational Biology, Umeå University, Umeå S-90187, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90187, Sweden.
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm S-17165, Sweden
| | - Jarkko Johansson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90187, Sweden; Department of Diagnostics and Intervention, Diagnostic Radiology, Umeå University, Umeå S-90187, Sweden
| | - Anders Wåhlin
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90187, Sweden; Department of Diagnostics and Intervention, Radiation Physics, Umeå University, Umeå S-90187, Sweden; Department of Applied Physics and Electronics, Umeå University, Umeå S-90187, Sweden
| | - Alireza Salami
- Department of Medical and Translational Biology, Umeå University, Umeå S-90187, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90187, Sweden; Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm S-17165, Sweden; Wallenberg Center for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Micael Andersson
- Department of Medical and Translational Biology, Umeå University, Umeå S-90187, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90187, Sweden
| | - Jan Axelsson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90187, Sweden; Department of Diagnostics and Intervention, Radiation Physics, Umeå University, Umeå S-90187, Sweden
| | - Dmitry Kuznetsov
- Faculty of Sociology, University of Bielefeld, Bielefeld, Germany
| | - Katrine Riklund
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90187, Sweden; Department of Diagnostics and Intervention, Diagnostic Radiology, Umeå University, Umeå S-90187, Sweden
| | - Martin Lövdén
- Department of Psychology, University of Gothenburg, Göteborg S-41314, Sweden
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin D-14195, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm S-17165, Sweden
| | - Lars Nyberg
- Department of Medical and Translational Biology, Umeå University, Umeå S-90187, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå S-90187, Sweden; Department of Diagnostics and Intervention, Diagnostic Radiology, Umeå University, Umeå S-90187, Sweden
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8
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Fredensborg FLH, Thilsing-Hansen K, Simonsen JA, Grupe P, Farahani ZA, Andersen CW, Gjedde A, Hvidsten S. Dynamic multi-pinhole collimated brain SPECT of Parkinson's disease by [ 123I]FP-CIT: a feasibility study of fSPECT. Sci Rep 2024; 14:6624. [PMID: 38503852 PMCID: PMC10951323 DOI: 10.1038/s41598-024-57152-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/13/2024] [Indexed: 03/21/2024] Open
Abstract
We investigated the feasibility of using a dopamine transporter (DaT) tracer ligand ([123I]FP-CIT) along with novel multi-pinhole brain collimators for dynamic brain single photon emission computed tomography (SPECT) in suspected Parkinson's disease patients. Thirteen patients underwent dynamic tracer acquisitions before standard imaging. Uptake values were corrected for partial volume effects. Specific binding ratio (SBRcalc) was calculated, reflecting binding potential relative to non-displaceable binding (BPND) in the cortex. Additional pharmacokinetic parameters (BPND, R1, k2) were estimated using the simplified reference tissue model, revealing differences between Kahraman low-score (LS) and high-score (HS) groups. Results showed increasing striatal tracer uptake until 100 min post-injection, with consistent values afterward. Uptake and SBRcalc ratios matched visual assessment. LS patients had lower putamen than caudate nucleus tracer uptake, decreased BPND values, while R1 and k2 values were comparable to HS patients. In conclusion, dynamic multi-pinhole SPECT using DaT tracer with the extraction of pharmacokinetic parameters is feasible and could help enable early differentiation of reduced and normal DaT values.
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Affiliation(s)
- Filip L H Fredensborg
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | | | - Jane A Simonsen
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Peter Grupe
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Ziba A Farahani
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
| | | | - Albert Gjedde
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Translational Neuropsychiatry Unit, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
- Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark
- Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada
| | - Svend Hvidsten
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
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9
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Mandeville JB, Efthimiou N, Weigand-Whittier J, Hardy E, Knudsen GM, Jørgensen LM, Chen YCI. Partial volume correction of PET image data using geometric transfer matrices based on uniform B-splines. Phys Med Biol 2024; 69:055020. [PMID: 38271737 DOI: 10.1088/1361-6560/ad22a0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 01/25/2024] [Indexed: 01/27/2024]
Abstract
Objective. Most methods for partial volume correction (PVC) of positron emission tomography (PET) data employ anatomical segmentation of images into regions of interest. This approach is not optimal for exploratory functional imaging beyond regional hypotheses. Here, we describe a novel method for unbiased voxel-wise PVC.Approach.B-spline basis functions were combined with geometric transfer matrices to enable a method (bsGTM) that provides PVC or alternatively provides smoothing with minimal regional crosstalk. The efficacy of the proposed method was evaluated using Monte Carlo simulations, human PET data, and murine functional PET data.Main results.In simulations, bsGTM provided recovery of partial volume signal loss comparable to iterative deconvolution, while demonstrating superior resilience to noise. In a real murine PET dataset, bsGTM yielded much higher sensitivity for detecting amphetamine-induced reduction of [11C]raclopride binding potential. In human PET data, bsGTM smoothing enabled increased signal-to-noise ratios with less degradation of binding potentials relative to Gaussian convolution or non-local means.Significance.bsGTM offers improved performance for PVC relative to iterative deconvolution, the current method of choice for voxel-wise PVC, especially in the common PET regime of low signal-to-noise ratio. The new method provides an anatomically unbiased way to compensate partial volume errors in cases where anatomical segmentation is unavailable or of questionable relevance or accuracy.
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Affiliation(s)
- Joseph B Mandeville
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Nikos Efthimiou
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Jonah Weigand-Whittier
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston MA, United States of America
- Department of Bioengineering, University of California, Berkeley CA, United States of America
| | - Erin Hardy
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston MA, United States of America
| | - Gitte M Knudsen
- Neurobiology Research Unit, Rigshospitalet and University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Louise M Jørgensen
- Neurobiology Research Unit, Rigshospitalet and University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Yin-Ching I Chen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
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10
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Singleton SP, Velidi P, Schilling L, Luppi AI, Jamison K, Parkes L, Kuceyeski A. Altered structural connectivity and functional brain dynamics in individuals with heavy alcohol use. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.27.568762. [PMID: 38077021 PMCID: PMC10705230 DOI: 10.1101/2023.11.27.568762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
Heavy alcohol use and its associated conditions, such as alcohol use disorder (AUD), impact millions of individuals worldwide. While our understanding of the neurobiological correlates of AUD has evolved substantially, we still lack models incorporating whole-brain neuroanatomical, functional, and pharmacological information under one framework. Here, we utilize diffusion and functional magnetic resonance imaging to investigate alterations to brain dynamics in N = 130 individuals with a high amount of current alcohol use. We compared these alcohol using individuals to N = 308 individuals with minimal use of any substances. We find that individuals with heavy alcohol use had less dynamic and complex brain activity, and through leveraging network control theory, had increased control energy to complete transitions between activation states. Further, using separately acquired positron emission tomography (PET) data, we deploy an in silico evaluation demonstrating that decreased D2 receptor levels, as found previously in individuals with AUD, may relate to our observed findings. This work demonstrates that whole-brain, multimodal imaging information can be combined under a network control framework to identify and evaluate neurobiological correlates and mechanisms of AUD.
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Affiliation(s)
- S Parker Singleton
- Department of Radiology, Weill Cornell Medicine, New York, New York, U.S.A
| | - Puneet Velidi
- Department of Statistics and Data Science, Cornell University, Ithaca, New York, U.S.A
| | - Louisa Schilling
- Montreal Neurological Institute, McGill Univeristy, Montreal, CA
| | - Andrea I Luppi
- Department of Radiology, Weill Cornell Medicine, New York, New York, U.S.A
| | - Keith Jamison
- Department of Radiology, Weill Cornell Medicine, New York, New York, U.S.A
| | - Linden Parkes
- Department of Psychiatry, Rutgers University, Piscataway, NJ 08854, USA
| | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, New York, U.S.A
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11
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Hansen JY, Cauzzo S, Singh K, García-Gomar MG, Shine JM, Bianciardi M, Misic B. Integrating brainstem and cortical functional architectures. RESEARCH SQUARE 2023:rs.3.rs-3569352. [PMID: 38076888 PMCID: PMC10705693 DOI: 10.21203/rs.3.rs-3569352/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
The brainstem is a fundamental component of the central nervous system yet it is typically excluded from in vivo human brain mapping efforts, precluding a complete understanding of how the brainstem influences cortical function. Here we use high-resolution 7 Tesla fMRI to derive a functional connectome encompassing cortex as well as 58 brainstem nuclei spanning the midbrain, pons and medulla. We identify a compact set of integrative hubs in the brainstem with widespread connectivity with cerebral cortex. Patterns of connectivity between brainstem and cerebral cortex manifest as multiple emergent phenomena including neurophysiological oscillatory rhythms, patterns of cognitive functional specialization, and the unimodal-transmodal functional hierarchy. This persistent alignment between cortical functional topographies and brainstem nuclei is shaped by the spatial arrangement of multiple neurotransmitter receptors and transporters. We replicate all findings using 3 Tesla data from the same participants. Collectively, we find that multiple organizational features of cortical activity can be traced back to the brainstem.
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Affiliation(s)
- Justine Y. Hansen
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Simone Cauzzo
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Parkinson’s Disease and Movement Disorders Unit, Center for Rare Neurological Diseases (ERN-RND), University of Padova, Padova, Italy
| | - Kavita Singh
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, NIH, Baltimore, MD, USA
| | - María Guadalupe García-Gomar
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Escuela Nacional de Estudios Superiores, Unidad Juriquilla, Universidad Nacional Autónoma de México, Querétaro, México
| | - James M. Shine
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Marta Bianciardi
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard University, Boston, MA, USA
| | - Bratislav Misic
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
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12
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Hansen JY, Cauzzo S, Singh K, García-Gomar MG, Shine JM, Bianciardi M, Misic B. Integrating brainstem and cortical functional architectures. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.26.564245. [PMID: 37961347 PMCID: PMC10634864 DOI: 10.1101/2023.10.26.564245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
The brainstem is a fundamental component of the central nervous system yet it is typically excluded from in vivo human brain mapping efforts, precluding a complete understanding of how the brainstem influences cortical function. Here we use high-resolution 7 Tesla fMRI to derive a functional connectome encompassing cortex as well as 58 brainstem nuclei spanning the midbrain, pons and medulla. We identify a compact set of integrative hubs in the brainstem with widespread connectivity with cerebral cortex. Patterns of connectivity between brainstem and cerebral cortex manifest as multiple emergent phenomena including neurophysiological oscillatory rhythms, patterns of cognitive functional specialization, and the unimodal-transmodal functional hierarchy. This persistent alignment between cortical functional topographies and brainstem nuclei is shaped by the spatial arrangement of multiple neurotransmitter receptors and transporters. We replicate all findings using 3 Tesla data from the same participants. Collectively, we find that multiple organizational features of cortical activity can be traced back to the brainstem.
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Affiliation(s)
- Justine Y. Hansen
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Simone Cauzzo
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Parkinson’s Disease and Movement Disorders Unit, Center for Rare Neurological Diseases (ERN-RND), University of Padova, Padova, Italy
| | - Kavita Singh
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, NIH, Baltimore, MD, USA
| | - María Guadalupe García-Gomar
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Escuela Nacional de Estudios Superiores, Unidad Juriquilla, Universidad Nacional Autónoma de México, Querétaro, México
| | - James M. Shine
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Marta Bianciardi
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard University, Boston, MA, USA
| | - Bratislav Misic
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
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13
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Rahayel S, Tremblay C, Vo A, Misic B, Lehéricy S, Arnulf I, Vidailhet M, Corvol JC, Gagnon JF, Postuma RB, Montplaisir J, Lewis S, Matar E, Ehgoetz Martens K, Borghammer P, Knudsen K, Hansen AK, Monchi O, Gan-Or Z, Dagher A. Mitochondrial function-associated genes underlie cortical atrophy in prodromal synucleinopathies. Brain 2023; 146:3301-3318. [PMID: 36826230 PMCID: PMC10393413 DOI: 10.1093/brain/awad044] [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: 09/20/2022] [Revised: 01/12/2023] [Accepted: 02/03/2023] [Indexed: 02/25/2023] Open
Abstract
Isolated rapid eye movement sleep behaviour disorder (iRBD) is a sleep disorder characterized by the loss of rapid eye movement sleep muscle atonia and the appearance of abnormal movements and vocalizations during rapid eye movement sleep. It is a strong marker of incipient synucleinopathy such as dementia with Lewy bodies and Parkinson's disease. Patients with iRBD already show brain changes that are reminiscent of manifest synucleinopathies including brain atrophy. However, the mechanisms underlying the development of this atrophy remain poorly understood. In this study, we performed cutting-edge imaging transcriptomics and comprehensive spatial mapping analyses in a multicentric cohort of 171 polysomnography-confirmed iRBD patients [67.7 ± 6.6 (49-87) years; 83% men] and 238 healthy controls [66.6 ± 7.9 (41-88) years; 77% men] with T1-weighted MRI to investigate the gene expression and connectivity patterns associated with changes in cortical thickness and surface area in iRBD. Partial least squares regression was performed to identify the gene expression patterns underlying cortical changes in iRBD. Gene set enrichment analysis and virtual histology were then done to assess the biological processes, cellular components, human disease gene terms, and cell types enriched in these gene expression patterns. We then used structural and functional neighbourhood analyses to assess whether the atrophy patterns in iRBD were constrained by the brain's structural and functional connectome. Moreover, we used comprehensive spatial mapping analyses to assess the specific neurotransmitter systems, functional networks, cytoarchitectonic classes, and cognitive brain systems associated with cortical changes in iRBD. All comparisons were tested against null models that preserved spatial autocorrelation between brain regions and compared to Alzheimer's disease to assess the specificity of findings to synucleinopathies. We found that genes involved in mitochondrial function and macroautophagy were the strongest contributors to the cortical thinning occurring in iRBD. Moreover, we demonstrated that cortical thinning was constrained by the brain's structural and functional connectome and that it mapped onto specific networks involved in motor and planning functions. In contrast with cortical thickness, changes in cortical surface area were related to distinct genes, namely genes involved in the inflammatory response, and to different spatial mapping patterns. The gene expression and connectivity patterns associated with iRBD were all distinct from those observed in Alzheimer's disease. In summary, this study demonstrates that the development of brain atrophy in synucleinopathies is constrained by specific genes and networks.
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Affiliation(s)
- Shady Rahayel
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Canada
| | - Christina Tremblay
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
| | - Andrew Vo
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
| | - Bratislav Misic
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
| | - Stéphane Lehéricy
- Institut du Cerveau–Paris Brain Institute–ICM, INSERM, CNRS, Sorbonne Université, Paris 75013, France
| | - Isabelle Arnulf
- Institut du Cerveau–Paris Brain Institute–ICM, INSERM, CNRS, Sorbonne Université, Paris 75013, France
| | - Marie Vidailhet
- Institut du Cerveau–Paris Brain Institute–ICM, INSERM, CNRS, Sorbonne Université, Paris 75013, France
| | - Jean-Christophe Corvol
- Institut du Cerveau–Paris Brain Institute–ICM, INSERM, CNRS, Sorbonne Université, Paris 75013, France
| | - Jean-François Gagnon
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Canada
- Department of Psychology, University of Quebec in Montreal, Montreal H2X 3P2, Canada
- Research Centre, Institut universitaire de gériatrie de Montréal, Montreal H3W 1W5, Canada
| | - Ronald B Postuma
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Canada
- Department of Neurology, Montreal General Hospital, Montreal H3G 1A4, Canada
| | - Jacques Montplaisir
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Canada
- Department of Psychiatry, University of Montreal, Montreal H3T 1J4, Canada
| | - Simon Lewis
- ForeFront Parkinson’s Disease Research Clinic, Brain and Mind Centre, University of Sydney, Camperdown NSW 2050, Australia
| | - Elie Matar
- ForeFront Parkinson’s Disease Research Clinic, Brain and Mind Centre, University of Sydney, Camperdown NSW 2050, Australia
| | - Kaylena Ehgoetz Martens
- ForeFront Parkinson’s Disease Research Clinic, Brain and Mind Centre, University of Sydney, Camperdown NSW 2050, Australia
- Department of Kinesiology, University of Waterloo, Waterloo N2L 3G1, Canada
| | - Per Borghammer
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus DK-8200, Denmark
| | - Karoline Knudsen
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus DK-8200, Denmark
| | - Allan K Hansen
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus DK-8200, Denmark
| | - Oury Monchi
- Research Centre, Institut universitaire de gériatrie de Montréal, Montreal H3W 1W5, Canada
- Department of Radiology, Radio-Oncology, and Nuclear Medicine, University of Montreal, Montreal H3T 1A4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal H3A 1A1, Canada
| | - Ziv Gan-Or
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal H3A 1A1, Canada
- Department of Human Genetics, McGill University, Montreal H3A 0C7, Canada
| | - Alain Dagher
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal H3A 1A1, Canada
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14
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Green MA, Crawford JL, Kuhnen CM, Samanez-Larkin GR, Seaman KL. Multivariate associations between dopamine receptor availability and risky investment decision-making across adulthood. Cereb Cortex Commun 2023; 4:tgad008. [PMID: 37255569 PMCID: PMC10225308 DOI: 10.1093/texcom/tgad008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/08/2023] [Accepted: 05/10/2023] [Indexed: 06/01/2023] Open
Abstract
Enhancing dopamine increases financial risk taking across adulthood but it is unclear whether baseline individual differences in dopamine function are related to risky financial decisions. Here, thirty-five healthy adults completed an incentive-compatible risky investment decision task and a PET scan at rest using [11C]FLB457 to assess dopamine D2-like receptor availability. Participants made choices between a safe asset (bond) and a risky asset (stock) with either an expected value less than the bond ("bad stock") or expected value greater than the bond ("good stock"). Five measures of behavior (choice inflexibility, risk seeking, suboptimal investment) and beliefs (absolute error, optimism) were computed and D2-like binding potential was extracted from four brain regions of interest (midbrain, amygdala, anterior cingulate, insula). We used canonical correlation analysis to evaluate multivariate associations between decision-making and dopamine function controlling for age. Decomposition of the first dimension (r = 0.76) revealed that the strongest associations were between measures of choice inflexibility, incorrect choice, optimism, amygdala binding potential, and age. Follow-up univariate analyses revealed that amygdala binding potential and age were both independently associated with choice inflexibility. The findings suggest that individual differences in dopamine function may be associated with financial risk taking in healthy adults.
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Affiliation(s)
- Mikella A Green
- Department of Psychology & Neuroscience, 417 Chapel Dr, Durham, NC 27708, Center for Cognitive Neuroscience, Duke University, 308 Research Drive, Durham, NC 27708
| | - Jennifer L Crawford
- Department of Psychology, Brandeis University, 415 South Street, Waltham, MA 02453
| | - Camelia M Kuhnen
- UNC Kenan-Flagler Business School, 300 Kenan Center Drive, Chapel Hill, NC 27599, National Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, MA 02138
| | - Gregory R Samanez-Larkin
- Department of Psychology & Neuroscience, 417 Chapel Dr, Durham, NC 27708, Center for Cognitive Neuroscience, Duke University, 308 Research Drive, Durham, NC 27708
| | - Kendra L Seaman
- Department of Psychology, University of Texas at Dallas, 800 W Campbell Road, Richardson, TX 75080-3021, Center for Vital Longevity, University of Texas at Dallas, 1600 Viceroy Drive, Suite 800, Dallas, TX 75235
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15
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Luppi AI, Singleton SP, Hansen JY, Bzdok D, Kuceyeski A, Betzel RF, Misic B. Transitions between cognitive topographies: contributions of network structure, neuromodulation, and disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.16.532981. [PMID: 36993597 PMCID: PMC10055141 DOI: 10.1101/2023.03.16.532981] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Patterns of neural activity underlie human cognition. Transitions between these patterns are orchestrated by the brain's network architecture. What are the mechanisms linking network structure to cognitively relevant activation patterns? Here we implement principles of network control to investigate how the architecture of the human connectome shapes transitions between 123 experimentally defined cognitive activation maps (cognitive topographies) from the NeuroSynth meta-analytic engine. We also systematically incorporate neurotransmitter receptor density maps (18 receptors and transporters) and disease-related cortical abnormality maps (11 neurodegenerative, psychiatric and neurodevelopmental diseases; N = 17 000 patients, N = 22 000 controls). Integrating large-scale multimodal neuroimaging data from functional MRI, diffusion tractography, cortical morphometry, and positron emission tomography, we simulate how anatomically-guided transitions between cognitive states can be reshaped by pharmacological or pathological perturbation. Our results provide a comprehensive look-up table charting how brain network organisation and chemoarchitecture interact to manifest different cognitive topographies. This computational framework establishes a principled foundation for systematically identifying novel ways to promote selective transitions between desired cognitive topographies.
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Affiliation(s)
- Andrea I. Luppi
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | | | - Justine Y. Hansen
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Danilo Bzdok
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
- MILA, Quebec Artificial Intelligence Institute, Montréal, QC, Canada
| | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, NY, U.S.A
| | - Richard F. Betzel
- Psychological and Brain Sciences, Indiana University, Bloomington, IN, U.S.A
| | - Bratislav Misic
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
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16
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Troyano-Rodriguez E, Blankenship HE, Handa K, Branch SY, Beckstead MJ. Preservation of dendritic D2 receptor transmission in substantia nigra dopamine neurons with age. Sci Rep 2023; 13:1025. [PMID: 36658269 PMCID: PMC9852430 DOI: 10.1038/s41598-023-28174-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/13/2023] [Indexed: 01/20/2023] Open
Abstract
Substantia nigra pars compacta (SNc) dopamine neurons are required for voluntary movement and reward learning, and advanced age is associated with motor and cognitive decline. In the midbrain, D2-type dopamine receptors located at dendrodendritic synapses between dopamine neurons control cell firing through G protein-activated potassium (GIRK) channels. We previously showed that aging disrupts dopamine neuron pacemaker firing in mice, but only in males. Here we show that the amplitude of D2-receptor inhibitory postsynaptic currents (D2-IPSCs) are moderately reduced in aged male mice. Local application of dopamine revealed a reduction in the amplitude of the D2-receptor currents in old males compared to young, pointing to a postsynaptic mechanism. Further experiments indicated that reduced D2 receptor signaling was not due to a general reduction in GIRK channel currents or degeneration of the dendritic arbor. Kinetic analysis showed no differences in D2-IPSC shape in old versus young mice or between sexes. Potentiation of D2-IPSCs by corticotropin releasing factor (CRF) was also not affected by age, indicating preservation of one mechanism of plasticity. These findings have implications for understanding dopamine transmission in aging, and reduced D2 receptor inhibition could contribute to increased susceptibility of males to SNc dopamine neuron degeneration in Parkinson's disease.
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Affiliation(s)
- Eva Troyano-Rodriguez
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Harris E Blankenship
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Kylie Handa
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Sarah Y Branch
- Department of Cellular and Integrative Physiology, University of Texas Health, San Antonio, TX, USA
| | - Michael J Beckstead
- Aging and Metabolism Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
- Oklahoma City VA Medical Center, Oklahoma City, OK, USA.
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17
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Hansen JY, Shafiei G, Markello RD, Smart K, Cox SML, Nørgaard M, Beliveau V, Wu Y, Gallezot JD, Aumont É, Servaes S, Scala SG, DuBois JM, Wainstein G, Bezgin G, Funck T, Schmitz TW, Spreng RN, Galovic M, Koepp MJ, Duncan JS, Coles JP, Fryer TD, Aigbirhio FI, McGinnity CJ, Hammers A, Soucy JP, Baillet S, Guimond S, Hietala J, Bedard MA, Leyton M, Kobayashi E, Rosa-Neto P, Ganz M, Knudsen GM, Palomero-Gallagher N, Shine JM, Carson RE, Tuominen L, Dagher A, Misic B. Mapping neurotransmitter systems to the structural and functional organization of the human neocortex. Nat Neurosci 2022; 25:1569-1581. [PMID: 36303070 PMCID: PMC9630096 DOI: 10.1038/s41593-022-01186-3] [Citation(s) in RCA: 128] [Impact Index Per Article: 64.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 09/20/2022] [Indexed: 01/13/2023]
Abstract
Neurotransmitter receptors support the propagation of signals in the human brain. How receptor systems are situated within macro-scale neuroanatomy and how they shape emergent function remain poorly understood, and there exists no comprehensive atlas of receptors. Here we collate positron emission tomography data from more than 1,200 healthy individuals to construct a whole-brain three-dimensional normative atlas of 19 receptors and transporters across nine different neurotransmitter systems. We found that receptor profiles align with structural connectivity and mediate function, including neurophysiological oscillatory dynamics and resting-state hemodynamic functional connectivity. Using the Neurosynth cognitive atlas, we uncovered a topographic gradient of overlapping receptor distributions that separates extrinsic and intrinsic psychological processes. Finally, we found both expected and novel associations between receptor distributions and cortical abnormality patterns across 13 disorders. We replicated all findings in an independently collected autoradiography dataset. This work demonstrates how chemoarchitecture shapes brain structure and function, providing a new direction for studying multi-scale brain organization.
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Affiliation(s)
- Justine Y Hansen
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Golia Shafiei
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Ross D Markello
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Kelly Smart
- Yale PET Center, Yale School of Medicine, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Sylvia M L Cox
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Martin Nørgaard
- Department of Psychology, Center for Reproducible Neuroscience, Stanford University, Stanford, CA, USA
- Neurobiology Research Unit, Cimbi & OpenNeuroPET, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Vincent Beliveau
- Neurobiology Research Unit, Cimbi & OpenNeuroPET, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Yanjun Wu
- Yale PET Center, Yale School of Medicine, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Jean-Dominique Gallezot
- Yale PET Center, Yale School of Medicine, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Étienne Aumont
- Cognitive Pharmacology Research Unit, UQAM, Montréal, QC, Canada
| | - Stijn Servaes
- McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montréal, QC, Canada
| | | | | | | | - Gleb Bezgin
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
- McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montréal, QC, Canada
| | - Thomas Funck
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Taylor W Schmitz
- Department of Physiology and Pharmacology, University of Western Ontario, London, ON, Canada
| | - R Nathan Spreng
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Marian Galovic
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Chalfont Centre for Epilepsy, Chalfont Saint Peter, UK
| | - Matthias J Koepp
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Chalfont Centre for Epilepsy, Chalfont Saint Peter, UK
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Chalfont Centre for Epilepsy, Chalfont Saint Peter, UK
| | - Jonathan P Coles
- Department of Medicine, Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Tim D Fryer
- Department of Clinical Neurosciences, Wolfson Brain Imaging Centre, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Franklin I Aigbirhio
- Department of Clinical Neurosciences, Wolfson Brain Imaging Centre, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Colm J McGinnity
- King's College London and Guy's and St. Thomas' PET Centre, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Alexander Hammers
- King's College London and Guy's and St. Thomas' PET Centre, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Jean-Paul Soucy
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Sylvain Baillet
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Synthia Guimond
- Department of Psychiatry, Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
- Department of Psychoeducation and Psychology, University of Quebec in Outaouais, Gatineau, QC, Canada
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Marc-André Bedard
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
- Cognitive Pharmacology Research Unit, UQAM, Montréal, QC, Canada
| | - Marco Leyton
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Eliane Kobayashi
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Pedro Rosa-Neto
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
- McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montréal, QC, Canada
| | - Melanie Ganz
- Neurobiology Research Unit, Cimbi & OpenNeuroPET, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Gitte M Knudsen
- Neurobiology Research Unit, Cimbi & OpenNeuroPET, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Nicola Palomero-Gallagher
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - James M Shine
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Richard E Carson
- Yale PET Center, Yale School of Medicine, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Lauri Tuominen
- Department of Psychiatry, Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Alain Dagher
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Bratislav Misic
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada.
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18
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Karalija N, Johansson J, Papenberg G, Wåhlin A, Salami A, Köhncke Y, Brandmaier AM, Andersson M, Axelsson J, Riklund K, Lövdén M, Lindenberger U, Bäckman L, Nyberg L. Longitudinal Dopamine D2 Receptor Changes and Cerebrovascular Health in Aging. Neurology 2022; 99:e1278-e1289. [PMID: 35790424 PMCID: PMC9576296 DOI: 10.1212/wnl.0000000000200891] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 05/11/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Cross-sectional studies suggest marked dopamine (DA) decline in aging, but longitudinal evidence is lacking. The aim of this study was to estimate within-person decline rates for DA D2-like receptors (DRD2) in aging and examine factors that may contribute to individual differences in DRD2 decline rates. METHODS We investigated 5-year within-person changes in DRD2 availability in a sample of older adults. At both occasions, PET with 11C-raclopride and MRI were used to measure DRD2 availability in conjunction with structural and vascular brain integrity. RESULTS Longitudinal analyses of the sample (baseline: n = 181, ages: 64-68 years, 100 men and 81 women; 5-year follow-up: n = 129, 69 men and 60 women) revealed aging-related striatal and extrastriatal DRD2 decline, along with marked individual differences in rates of change. Notably, the magnitude of striatal DRD2 decline was ∼50% of past cross-sectional estimates, suggesting that the DRD2 decline rate has been overestimated in past cross-sectional studies. Significant DRD2 reductions were also observed in select extrastriatal regions, including hippocampus, orbitofrontal cortex (OFC), and anterior cingulate cortex (ACC). Distinct profiles of correlated DRD2 changes were found across several associative regions (ACC, dorsal striatum, and hippocampus) and in the reward circuit (nucleus accumbens and OFC). DRD2 losses in associative regions were associated with white matter lesion progression, whereas DRD2 losses in limbic regions were related to reduced cortical perfusion. DISCUSSION These findings provide the first longitudinal evidence for individual and region-specific differences of DRD2 decline in older age and support the hypothesis that cerebrovascular factors are linked to age-related dopaminergic decline.
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Affiliation(s)
- Nina Karalija
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden.
| | - Jarkko Johansson
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Goran Papenberg
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Anders Wåhlin
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Alireza Salami
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Ylva Köhncke
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Andreas M Brandmaier
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Micael Andersson
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Jan Axelsson
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Katrine Riklund
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Martin Lövdén
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Ulman Lindenberger
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Lars Bäckman
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
| | - Lars Nyberg
- From the Departments of Radiation Sciences, Diagnostic Radiology (N.K., J.J., K.R., L.N.) and Radiation Physics (A.W., J.A.), Department of Applied Physics and Electronics (A.W.), and Umeå Center for Functional Brain Imaging (UFBI) (N.K., J.J., A.W., A.S., M.A., J.A., K.R., L.N.), Umeå University; Aging Research Center (G.P., A.S., L.B.), Karolinska Institutet & Stockholm University; Department of Integrative Medical Biology (A.S., M.A., L.N.), and Wallenberg Center for Molecular Medicine (A.S., L.N.), Umeå University, Sweden; Center for Lifespan Psychology (Y.K., A.M.B., U.L.), Max Planck Institute for Human Development; Max Planck UCL Centre for Computational Psychiatry and Ageing Research (A.M.B., U.L.), Berlin, Germany and London, UK; and Department of Psychology (M.L.), University of Gothenburg, Sweden
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19
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Hansen JY, Shafiei G, Vogel JW, Smart K, Bearden CE, Hoogman M, Franke B, van Rooij D, Buitelaar J, McDonald CR, Sisodiya SM, Schmaal L, Veltman DJ, van den Heuvel OA, Stein DJ, van Erp TGM, Ching CRK, Andreassen OA, Hajek T, Opel N, Modinos G, Aleman A, van der Werf Y, Jahanshad N, Thomopoulos SI, Thompson PM, Carson RE, Dagher A, Misic B. Local molecular and global connectomic contributions to cross-disorder cortical abnormalities. Nat Commun 2022; 13:4682. [PMID: 35948562 PMCID: PMC9365855 DOI: 10.1038/s41467-022-32420-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 07/28/2022] [Indexed: 12/21/2022] Open
Abstract
Numerous brain disorders demonstrate structural brain abnormalities, which are thought to arise from molecular perturbations or connectome miswiring. The unique and shared contributions of these molecular and connectomic vulnerabilities to brain disorders remain unknown, and has yet to be studied in a single multi-disorder framework. Using MRI morphometry from the ENIGMA consortium, we construct maps of cortical abnormalities for thirteen neurodevelopmental, neurological, and psychiatric disorders from N = 21,000 participants and N = 26,000 controls, collected using a harmonised processing protocol. We systematically compare cortical maps to multiple micro-architectural measures, including gene expression, neurotransmitter density, metabolism, and myelination (molecular vulnerability), as well as global connectomic measures including number of connections, centrality, and connection diversity (connectomic vulnerability). We find a relationship between molecular vulnerability and white-matter architecture that drives cortical disorder profiles. Local attributes, particularly neurotransmitter receptor profiles, constitute the best predictors of both disorder-specific cortical morphology and cross-disorder similarity. Finally, we find that cross-disorder abnormalities are consistently subtended by a small subset of network epicentres in bilateral sensory-motor, inferior temporal lobe, precuneus, and superior parietal cortex. Collectively, our results highlight how local molecular attributes and global connectivity jointly shape cross-disorder cortical abnormalities.
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Affiliation(s)
- Justine Y Hansen
- McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Golia Shafiei
- McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Jacob W Vogel
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kelly Smart
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Martine Hoogman
- Departments of Psychiatry and Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Barbara Franke
- Departments of Psychiatry and Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Daan van Rooij
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Carrie R McDonald
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Lianne Schmaal
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Odile A van den Heuvel
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Anatomy & Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Dan J Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, & Center for the Neurobiology of Leaning and Memory, University of California Irvine, 309 Qureshey Research Lab, Irvine, CA, USA
| | - Christopher R K Ching
- Keck School of Medicine, Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Nils Opel
- Institute of Translational Psychiatry, University of Münster, Münster, Germany & Department of Psychiatry, Jena University Hospital/Friedrich-Schiller-University Jena, Jena, Germany
| | - Gemma Modinos
- Department of Psychosis Studies & MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - André Aleman
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, Groningen, The Netherlands
| | - Ysbrand van der Werf
- Department of Anatomy & Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Neda Jahanshad
- Keck School of Medicine, Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Sophia I Thomopoulos
- Keck School of Medicine, Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Paul M Thompson
- Keck School of Medicine, Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Richard E Carson
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Alain Dagher
- McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Bratislav Misic
- McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC, Canada.
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20
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Podkovka O, Makarchuk M, Filimonova N, Pampuha I, Nikiforov M. STATE OF THE MAIN PSYCHOPHYSIOLOGICAL FUNCTIONS IN MILITARY SERVANTS OF DIFFERENT AGE GROUPS. BULLETIN OF TARAS SHEVCHENKO NATIONAL UNIVERSITY OF KYIV. SERIES: BIOLOGY 2022. [DOI: 10.17721/1728.2748.2022.89.23-27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
To discover age-related changes in the simple sensorimotor reaction (SSMR), choice reaction (CR), functional mobility of nervous processes (FMNP) and brain productivity (BP), as well as to determine the stress index (SI) of regulatory systems during performance of these tests. Forty-seven healthy volunteers, representatives of military professions, aged 18–54 were divided into three groups (first group – 18–23 years, n=16; second group – 24– 34 years, n=19; third group – 35–54 years, n=12) and performed original computer tests to determine SSMR, CR, FMNP and BP. An electrocardiogram (ECG) was recorded in parallel. Although the rate of SSMR and CR did not differ for participants of three groups, the SI was significantly higher in the third group, compared with the first group (p<0.01) during SSMR. During CR performance it was significantly higher for the third and second groups compared with the first one (p<0.01). The FMNP index was significantly higher in the third group compared to the first one (p<0.05), and BP had the highest values for the second group compared to the first one (p<0.01). During performance of BP test, the SI did not differ in three groups, and during the test for FMNP it was significantly higher in the third group compared to the first one (p<0.01). The effectiveness of simple tasks (SSMR and CR) does not change with age, but their level is maintained due to increase of the SI of regulatory systems, i.e. increasing sympathetic tone. The FMNP value mainly depends on the individual CNS characteristics than on age. The highest level of FMNP was in the elderly. They also had elevated levels of the SI of regulatory systems. The reason of this could be associated with the high activity of cortical neurons, which leads to intensification of metabolic processes and changes in the level of autonomic supply. The lowest level of relative error, i.e. the highest level of BP was found in the middle age group. At the same time, no differences were found in the SI of regulatory systems between servicemen of different age groups during BP test performance.
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21
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Villain N, Béra G, Habert MO, Kas A, Aubert J, Jaubert O, Valabregue R, Fernandez-Vidal S, Corvol JC, Mangone G, Lehéricy S, Vidailhet M, Grabli D. Dopamine denervation in the functional territories of the striatum: a new MR and atlas-based 123I-FP-CIT SPECT quantification method. J Neural Transm (Vienna) 2021; 128:1841-1852. [PMID: 34704162 DOI: 10.1007/s00702-021-02434-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 10/21/2021] [Indexed: 11/30/2022]
Abstract
Current quantification methods of 123I-FP-CIT SPECT rely on anatomical parcellation of the striatum. We propose here to implement a new method based on MRI segmentation and functional atlas of the basal ganglia (MR-ATLAS) that could provide a reliable quantification within the sensorimotor, associative, and limbic territories of the striatum. Patients with Parkinson's disease (PD), idiopathic rapid eye movement sleep behavioral disorder (iRBD), and healthy controls underwent 123I-FP-CIT SPECT, MRI, motor, and cognitive assessments. SPECT data were corrected for partial volume effects and registered to a functional atlas of the striatum to allow quantification in every functional region of the striatum (nucleus accumbens, limbic, associative, and sensorimotor parts of the striatum). The MR-ATLAS quantification method is proved to be reliable in every territory of the striatum. In addition, good correlations were found between cognitive dysexecutive tests and the binding within the functional (limbic) territories of the striatum using the MR-ATLAS method, slightly better than correlations found using the anatomical quantification method. This new MR-ATLAS method provides a robust and useful tool for studying the dopaminergic system in PD, particularly with respect to cognitive functions. It may also be relevant to further unravel the relationship between dopaminergic denervation and cognitive or behavioral symptoms.
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Affiliation(s)
- Nicolas Villain
- Department of Neurology, AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France. .,Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France.
| | - G Béra
- Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France.,Department of Nuclear Medicine, AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
| | - M-O Habert
- Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France.,Department of Nuclear Medicine, AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France.,Laboratoire d'Imagerie Biomédicale, LIB, Sorbonne Université, CNRS, INSERM, Paris, France
| | - A Kas
- Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France.,Department of Nuclear Medicine, AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France.,Laboratoire d'Imagerie Biomédicale, LIB, Sorbonne Université, CNRS, INSERM, Paris, France
| | - J Aubert
- Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France
| | - O Jaubert
- Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France
| | - R Valabregue
- Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France
| | - S Fernandez-Vidal
- Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France
| | - J-C Corvol
- Department of Neurology, AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France.,Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France
| | - G Mangone
- Department of Neurology, AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France.,Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France
| | - S Lehéricy
- Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France.,Department of Neuroradiology, AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
| | - M Vidailhet
- Department of Neurology, AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France.,Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France
| | - D Grabli
- Department of Neurology, AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, 47-83 boulevard de l'Hôpital, 75651, Paris Cedex 13, France.,Institut du Cerveau, ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France
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22
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Ciampa CJ, Parent JH, Lapoint MR, Swinnerton KN, Taylor MM, Tennant VR, Whitman AJ, Jagust WJ, Berry AS. Elevated Dopamine Synthesis as a Mechanism of Cognitive Resilience in Aging. Cereb Cortex 2021; 32:2762-2772. [PMID: 34718454 DOI: 10.1093/cercor/bhab379] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 09/20/2021] [Accepted: 09/21/2021] [Indexed: 12/27/2022] Open
Abstract
Aging is associated with declines in multiple components of the dopamine system including loss of dopamine-producing neurons, atrophy of the dopamine system's cortical targets, and reductions in the density of dopamine receptors. Countering these patterns, dopamine synthesis appears to be stable or elevated in older age. We tested the hypothesis that elevation in dopamine synthesis in aging reflects a compensatory response to neuronal loss rather than a nonspecific monotonic shift in older age. We measured individual differences in striatal dopamine synthesis capacity in cognitively normal older adults using [18F]Fluoro-l-m-tyrosine positron emission tomography cross-sectionally and tested relationships with longitudinal reductions in cortical thickness and working memory decline beginning up to 13 years earlier. Consistent with a compensation account, older adults with the highest dopamine synthesis capacity were those with greatest atrophy in posterior parietal cortex. Elevated dopamine synthesis capacity was not associated with successful maintenance of working memory performance overall, but had a moderating effect such that higher levels of dopamine synthesis capacity reduced the impact of atrophy on cognitive decline. Together, these findings support a model by which upregulation of dopamine synthesis represents a mechanism of cognitive resilience in aging.
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Affiliation(s)
- Claire J Ciampa
- Department of Psychology, Brandeis University, Waltham, MA 02453, USA
| | - Jourdan H Parent
- Department of Psychology, Brandeis University, Waltham, MA 02453, USA
| | - Molly R Lapoint
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Kaitlin N Swinnerton
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Morgan M Taylor
- Department of Psychology, Brandeis University, Waltham, MA 02453, USA
| | - Victoria R Tennant
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - A J Whitman
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA.,Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Anne S Berry
- Department of Psychology, Brandeis University, Waltham, MA 02453, USA
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23
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Lam MTY, Duttke SH, Odish MF, Le HD, Hansen EA, Nguyen CT, Trescott S, Kim R, Deota S, Chang MW, Patel A, Hepokoski M, Alotaibi M, Rolfsen M, Perofsky K, Warden AS, Foley J, Ramirez SI, Dan JM, Abbott RK, Crotty S, Crotty Alexander LE, Malhotra A, Panda S, Benner CW, Coufal NG. Profiling Transcription Initiation in Peripheral Leukocytes Reveals Severity-Associated Cis-Regulatory Elements in Critical COVID-19. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.08.24.457187. [PMID: 34462742 DOI: 10.1101/2021.10.28.466336] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
The contribution of transcription factors (TFs) and gene regulatory programs in the immune response to COVID-19 and their relationship to disease outcome is not fully understood. Analysis of genome-wide changes in transcription at both promoter-proximal and distal cis-regulatory DNA elements, collectively termed the 'active cistrome,' offers an unbiased assessment of TF activity identifying key pathways regulated in homeostasis or disease. Here, we profiled the active cistrome from peripheral leukocytes of critically ill COVID-19 patients to identify major regulatory programs and their dynamics during SARS-CoV-2 associated acute respiratory distress syndrome (ARDS). We identified TF motifs that track the severity of COVID- 19 lung injury, disease resolution, and outcome. We used unbiased clustering to reveal distinct cistrome subsets delineating the regulation of pathways, cell types, and the combinatorial activity of TFs. We found critical roles for regulatory networks driven by stimulus and lineage determining TFs, showing that STAT and E2F/MYB regulatory programs targeting myeloid cells are activated in patients with poor disease outcomes and associated with single nucleotide genetic variants implicated in COVID-19 susceptibility. Integration with single-cell RNA-seq found that STAT and E2F/MYB activation converged in specific neutrophils subset found in patients with severe disease. Collectively we demonstrate that cistrome analysis facilitates insight into disease mechanisms and provides an unbiased approach to evaluate global changes in transcription factor activity and stratify patient disease severity.
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Affiliation(s)
- Michael Tun Yin Lam
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego, CA USA
- Laboratory of Regulatory Biology, Salk Institute of Biological Studies, La Jolla, CA, USA
| | - Sascha H Duttke
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, CA, USA
| | - Mazen F Odish
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego, CA USA
| | - Hiep D Le
- Laboratory of Regulatory Biology, Salk Institute of Biological Studies, La Jolla, CA, USA
| | - Emily A Hansen
- Sanford Consortium for Regenerative Medicine, La Jolla, CA, USA
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Celina T Nguyen
- Sanford Consortium for Regenerative Medicine, La Jolla, CA, USA
| | - Samantha Trescott
- Sanford Consortium for Regenerative Medicine, La Jolla, CA, USA
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Roy Kim
- Sanford Consortium for Regenerative Medicine, La Jolla, CA, USA
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Shaunak Deota
- Laboratory of Regulatory Biology, Salk Institute of Biological Studies, La Jolla, CA, USA
| | - Max W Chang
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, CA, USA
| | - Arjun Patel
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego, CA USA
| | - Mark Hepokoski
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego, CA USA
| | - Mona Alotaibi
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego, CA USA
| | - Mark Rolfsen
- Internal Medicine Residency Program, Department of Medicine, UC San Diego, CA, USA
| | - Katherine Perofsky
- Department of Pediatrics, University of California, San Diego, CA, USA
- Rady Children's Hospital, San Diego, CA
| | - Anna S Warden
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, CA, USA
| | | | - Sydney I Ramirez
- Division of Infectious Diseases, Department of Medicine, University of California, San Diego
- Center for Infectious Diseases and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA
| | - Jennifer M Dan
- Division of Infectious Diseases, Department of Medicine, University of California, San Diego
- Center for Infectious Diseases and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA
| | - Robert K Abbott
- Center for Infectious Diseases and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA
- Consortium for HIV/AIDS Vaccine Development (CHVAD), The Scripps Research Institute, La Jolla, CA, USA
| | - Shane Crotty
- Center for Infectious Diseases and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA
| | - Laura E Crotty Alexander
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego, CA USA
| | - Atul Malhotra
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego, CA USA
| | - Satchidananda Panda
- Laboratory of Regulatory Biology, Salk Institute of Biological Studies, La Jolla, CA, USA
| | - Christopher W Benner
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, CA, USA
| | - Nicole G Coufal
- Sanford Consortium for Regenerative Medicine, La Jolla, CA, USA
- Department of Pediatrics, University of California, San Diego, CA, USA
- Rady Children's Hospital, San Diego, CA
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24
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Sohara K, Sekine T, Tateno A, Mizumura S, Suda M, Sakayori T, Okubo Y, Kumita SI. Multi-Atlas MRI-Based Striatum Segmentation for 123I-FP-CIT SPECT (DAT-SPECT) Compared With the Bolt Method and SPECT-Atlas-Based Segmentation Method Toward the Accurate Diagnosis of Parkinson's Disease/Syndrome. Front Med (Lausanne) 2021; 8:662233. [PMID: 34113635 PMCID: PMC8185065 DOI: 10.3389/fmed.2021.662233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 04/15/2021] [Indexed: 11/19/2022] Open
Abstract
Aims: This study aimed to analyze the performance of multi-atlas MRI-based parcellation for 123I-FP-CIT SPECT (DAT-SPECT) in healthy volunteers. The proposed method was compared with the SPECT-atlas-based and Bolt methods. 18F-FE-PE2I-PET (DAT-PET) was used as a reference. Methods: Thirty healthy subjects underwent DAT-SPECT, DAT-PET, and 3D-T1WI-MRI. We calculated the striatum uptake ratio (SUR/SBR), caudate uptake ratio (CUR), and putamen uptake ratio (PUR) for DAT-SPECT using the multi-atlas MRI-based method, SPECT-atlas-based method, and Bolt method. In the multi-atlas MRI-based method, the cerebellum, occipital cortex, and whole-brain were used as reference regions. The correlation of age with DAT-SPECT activity and the correlations of SUR/SBR, CUR, and PUR between DAT-SPECT and DAT-PET were calculated by each of the three methods. Results: The correlation between age and SUR/SBR for DAT-SPECT based on the multi-atlas MRI-based method was comparable to that based on the SPECT-atlas-based method (r = −0.441 to −0.496 vs. −0.488). The highest correlation between DAT-SPECT and DAT-PET was observed using the multi-atlas MRI-based method with the occipital lobe defined as the reference region compared with the SPECT-atlas-based and Bolt methods (SUR, CUR, and PUR: 0.687, 0.723, and 0.676 vs. 0.698, 0.660, and 0.616 vs. 0.655). Conclusion: Multi-atlas MRI-based parcellation with the occipital lobe defined as the reference region was at least comparable to the clinical methods.
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Affiliation(s)
- Koji Sohara
- Department of Radiology, Nippon Medical School Hospital, Tokyo, Japan
| | - Tetsuro Sekine
- Department of Radiology, Nippon Medical School Musashi Kosugi Hospital, Kanagawa, Japan
| | - Amane Tateno
- Department of Neuropsychiatry, Nippon Medical School, Tokyo, Japan
| | - Sunao Mizumura
- Department of Radiology, Omori Medical Center, Toho University, Tokyo, Japan
| | - Masaya Suda
- Department of Radiology, Nippon Medical School Hospital, Tokyo, Japan
| | - Takeshi Sakayori
- Department of Neuropsychiatry, Nippon Medical School, Tokyo, Japan
| | - Yoshiro Okubo
- Department of Neuropsychiatry, Nippon Medical School, Tokyo, Japan
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25
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Cumming P, Gründer G, Brinson Z, Wong DF. Applications, Advances, and Limitations of Molecular Imaging of Brain Receptors. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00063-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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26
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Mihaescu AS, Kim J, Masellis M, Graff-Guerrero A, Cho SS, Christopher L, Valli M, Díez-Cirarda M, Koshimori Y, Strafella AP. Graph theory analysis of the dopamine D2 receptor network in Parkinson's disease patients with cognitive decline. J Neurosci Res 2020; 99:947-965. [PMID: 33271630 DOI: 10.1002/jnr.24760] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 11/14/2020] [Indexed: 12/30/2022]
Abstract
Cognitive decline in Parkinson's disease (PD) is a common sequela of the disorder that has a large impact on patient well-being. Its physiological etiology, however, remains elusive. Our study used graph theory analysis to investigate the large-scale topological patterns of the extrastriatal dopamine D2 receptor network. We used positron emission tomography with [11 C]FLB-457 to measure the binding potential of cortical dopamine D2 receptors in two networks: the meso-cortical dopamine network and the meso-limbic dopamine network. We also investigated the application of partial volume effect correction (PVEC) in conjunction with graph theory analysis. Three groups were investigated in this study divided according to their cognitive status as measured by the Montreal Cognitive Assessment score, with a score ≤25 considered cognitively impaired: (a) healthy controls (n = 13, 11 female), (b) cognitively unimpaired PD patients (PD-CU, n = 13, 5 female), and (c) PD patients with mild cognitive impairment (PD-MCI, n = 17, 4 female). In the meso-cortical network, we observed increased small-worldness, normalized clustering, and local efficiency in the PD-CU group compared to the PD-MCI group, as well as a hub shift in the PD-MCI group. Compensatory reorganization of the meso-cortical dopamine D2 receptor network may be responsible for some of the cognitive preservation observed in PD-CU. These results were found without PVEC applied and PVEC proved detrimental to the graph theory analysis. Overall, our findings demonstrate how graph theory analysis can be used to detect subtle changes in the brain that would otherwise be missed by regional comparisons of receptor density.
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Affiliation(s)
- Alexander S Mihaescu
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, ON, Canada
| | - Jinhee Kim
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Mario Masellis
- Institute of Medical Science, University of Toronto, ON, Canada.,LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, ON, Canada
| | - Sang Soo Cho
- Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Leigh Christopher
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Mikaeel Valli
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, ON, Canada
| | - María Díez-Cirarda
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada.,Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | - Yuko Koshimori
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Antonio P Strafella
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, ON, Canada.,Morton and Gloria Shulman Movement Disorder Unit & E.J. Safra Program in Parkinson Disease, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada
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27
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Karalija N, Jonassson L, Johansson J, Papenberg G, Salami A, Andersson M, Riklund K, Nyberg L, Boraxbekk CJ. High long-term test-retest reliability for extrastriatal 11C-raclopride binding in healthy older adults. J Cereb Blood Flow Metab 2020; 40:1859-1868. [PMID: 31506011 PMCID: PMC7446562 DOI: 10.1177/0271678x19874770] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In vivo dopamine D2-receptor availability is frequently assessed with 11C-raclopride and positron emission tomography. Due to low signal-to-noise ratios for 11C-raclopride in areas with low D2 receptor densities, the ligand has been considered unreliable for measurements outside the dopamine-dense striatum. Intriguingly, recent studies show that extrastriatal 11C-raclopride binding potential (BPND) values are (i) reliably higher than in the cerebellum (where D2-receptor levels are negligible), (ii) correlate with behavior in the expected direction, and (iii) showed good test-retest reliability in a sample of younger adults. The present work demonstrates high seven-month test-retest reliability of striatal and extrastriatal 11C-raclopride BPND values in healthy, older adults (n = 27, age: 64-78 years). Mean 11C-raclopride BPND values were stable between test sessions in subcortical nuclei, and in frontal and temporal cortices (p > 0.05). Across all structures analyzed, intraclass correlation coefficients were high (0.85-0.96), absolute variability was low (mean: 4-8%), and coefficients of variance ranged between 9 and 25%. Furthermore, regional 11C-raclopride BPND values correlated with previously determined 18F-fallypride BPND values (ρ = 0.97 and 0.92 in correlations with and without striatal values, respectively, p < 0.01) and postmortem determined D2-receptor densities (including striatum: ρ = 0.92; p < 0.001; excluding striatum: ρ = 0.75; p = 0.067). These observations suggest that extrastriatal 11C-raclopride measurements represent a true D2 signal.
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Affiliation(s)
- Nina Karalija
- Department of Radiation Sciences, Umeå University, Umeå, Sweden.,Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Lars Jonassson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - Jarkko Johansson
- Department of Radiation Sciences, Umeå University, Umeå, Sweden.,Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Alireza Salami
- Department of Radiation Sciences, Umeå University, Umeå, Sweden.,Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden.,Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Wallenberg Centre for Molecular Medicine, Lund, Sweden
| | - Micael Andersson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - Katrine Riklund
- Department of Radiation Sciences, Umeå University, Umeå, Sweden.,Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Lars Nyberg
- Department of Radiation Sciences, Umeå University, Umeå, Sweden.,Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - Carl-Johan Boraxbekk
- Department of Radiation Sciences, Umeå University, Umeå, Sweden.,Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Danish Research Center for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark
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28
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Mitelman SA, Buchsbaum MS, Christian BT, Merrill BM, Buchsbaum BR, Mukherjee J, Lehrer DS. Positive association between cerebral grey matter metabolism and dopamine D 2/D 3 receptor availability in healthy and schizophrenia subjects: An 18F-fluorodeoxyglucose and 18F-fallypride positron emission tomography study. World J Biol Psychiatry 2020; 21:368-382. [PMID: 31552783 DOI: 10.1080/15622975.2019.1671609] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Objectives: Overlapping decreases in extrastriatal dopamine D2/D3-receptor availability and glucose metabolism have been reported in subjects with schizophrenia. It remains unknown whether these findings are physiologically related or coincidental.Methods: To ascertain this, we used two consecutive 18F-fluorodeoxyglucose and 18F-fallypride positron emission tomography scans in 19 healthy and 25 unmedicated schizophrenia subjects. Matrices of correlations between 18F-fluorodeoxyglucose uptake and 18F-fallypride binding in voxels at the same xyz location and AFNI-generated regions of interest were evaluated in both diagnostic groups.Results:18F-fluorodeoxyglucose uptake and 18F-fallypride binding potential were predominantly positively correlated across the striatal and extrastriatal grey matter in both healthy and schizophrenia subjects. In comparison to healthy subjects, significantly weaker correlations in subjects with schizophrenia were confirmed in the right cingulate gyrus and thalamus, including the mediodorsal, lateral dorsal, anterior, and midline nuclei. Schizophrenia subjects showed decreased D2/D3-receptor availability in the hypothalamus, mamillary bodies, thalamus and several thalamic nuclei, and increased glucose uptake in three lobules of the cerebellar vermis.Conclusions: Dopaminergic system may be involved in modulation of grey matter metabolism and neurometabolic coupling in both healthy human brain and psychopathology. Hyperdopaminergic state in untreated schizophrenia may at least partly account for the corresponding decreases in grey matter metabolism.
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Affiliation(s)
- Serge A Mitelman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City,NY, USA.,Department of Psychiatry, Division of Child and Adolescent Psychiatry, Elmhurst Hospital Center, Elmhurst, IL, USA
| | - Monte S Buchsbaum
- Departments of Psychiatry and Radiology, University of California, San Diego, CA, USA.,Department of Psychiatry and Human Behavior, University of California, Irvine School of Medicine, Orange, CA, USA
| | - Bradley T Christian
- Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI, USA
| | - Brian M Merrill
- Department of Psychiatry, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA
| | - Bradley R Buchsbaum
- The Rotman Research Institute, Baycrest Centre for Geriatric Care and Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Jogeshwar Mukherjee
- Department of Radiological Sciences, Preclinical Imaging, University of California, Irvine School of Medicine, Irvine, CA, USA
| | - Douglas S Lehrer
- Department of Psychiatry, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA
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29
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Juarez EJ, Castrellon JJ, Green MA, Crawford JL, Seaman KL, Smith CT, Dang LC, Matuskey D, Morris ED, Cowan RL, Zald DH, Samanez-Larkin GR. Reproducibility of the correlative triad among aging, dopamine receptor availability, and cognition. Psychol Aging 2019; 34:921-932. [PMID: 31589058 PMCID: PMC6829049 DOI: 10.1037/pag0000403] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The evidence that dopamine function mediates the association between aging and cognition is one of the most cited findings in the cognitive neuroscience of aging. However, few and relatively small studies have directly examined these associations. Here we examined correlations among adult age, dopamine D2-like receptor (D2R) availability, and cognition in two cross-sectional studies of healthy human adults. Participants completed a short cognitive test battery and, on a separate day, a PET scan with either the high-affinity D2R tracer [18F]Fallypride (Study 1) or [11C]FLB457 (Study 2). Digit span, a measure of short-term memory maintenance and working memory, was the only cognitive test for which dopamine D2R availability partially mediated the age effect on cognition. In Study 1, age was negatively correlated with digit span. Striatal D2R availability was positively correlated with digit span controlling for age. The age effect on digit span was smaller when controlling for striatal D2R availability. Although other cognitive measures used here have individually been associated with age and D2R availability in prior studies, we found no consistent evidence for significant associations between low D2R availability and low cognitive performance on these measures. These results at best only partially supported the correlative triad of age, dopamine D2R availability, and cognition. While a wealth of other research in human and nonhuman animals demonstrates that dopamine makes critical contributions to cognition, the present studies suggest caution in interpreting PET findings as evidence that dopamine D2R loss is a primary cause of broad age-related declines in fluid cognition. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | | | | | - Linh C Dang
- Department of Psychology, Vanderbilt University
| | - David Matuskey
- Department of Radiology and Biomedical Imaging, Yale University
| | - Evan D Morris
- Department of Radiology and Biomedical Imaging, Yale University
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30
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Zhu Y, Zhu X. MRI-Driven PET Image Optimization for Neurological Applications. Front Neurosci 2019; 13:782. [PMID: 31417346 PMCID: PMC6684790 DOI: 10.3389/fnins.2019.00782] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Accepted: 07/12/2019] [Indexed: 12/12/2022] Open
Abstract
Positron emission tomography (PET) and magnetic resonance imaging (MRI) are established imaging modalities for the study of neurological disorders, such as epilepsy, dementia, psychiatric disorders and so on. Since these two available modalities vary in imaging principle and physical performance, each technique has its own advantages and disadvantages over the other. To acquire the mutual complementary information and reinforce each other, there is a need for the fusion of PET and MRI. This combined dual-modality (either sequential or simultaneous) could generate preferable soft tissue contrast of brain tissue, flexible acquisition parameters, and minimized exposure to radiation. The most unique superiority of PET/MRI is mainly manifested in MRI-based improvement for the inherent limitations of PET, such as motion artifacts, partial volume effect (PVE) and invasive procedure in quantitative analysis. Head motion during scanning significantly deteriorates the effective resolution of PET image, especially for the dynamic scan with lengthy time. Hybrid PET/MRI device can offer motion correction (MC) for PET data through MRI information acquired simultaneously. Regarding the PVE associated with limited spatial resolution, the process and reconstruction of PET data can be further optimized by using acquired MRI either sequentially or simultaneously. The quantitative analysis of dynamic PET data mainly relies upon an invasive arterial blood sampling procedure to acquire arterial input function (AIF). An image-derived input function (IDIF) method without the need of arterial cannulization, can serve as a potential alternative estimation of AIF. Compared with using PET data only, combining anatomical or functional information from MRI for improving the accuracy in IDIF approach has been demonstrated. Yet, due to the interference and inherent disparity between the two modalities, these methods for optimizing PET image based on MRI still have many technical challenges. This review discussed upon the most recent progress, current challenges and future directions of MRI-driven PET data optimization for neurological applications, with either sequential or simultaneous acquisition approach.
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Affiliation(s)
- Yuankai Zhu
- Department of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaohua Zhu
- Department of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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31
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Reduced serotonin receptors and transporters in normal aging adults: a meta-analysis of PET and SPECT imaging studies. Neurobiol Aging 2019; 80:1-10. [PMID: 31055162 DOI: 10.1016/j.neurobiolaging.2019.03.021] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 03/18/2019] [Accepted: 03/31/2019] [Indexed: 12/31/2022]
Abstract
Alterations in serotonin (5-HT) function have been hypothesized to underlie a range of physiological, emotional, and cognitive changes in older age. Here, we conducted a quantitative synthesis and comparison of the effects of age on 5-HT receptors and transporters from cross-sectional positron emission tomography and single-photon emission computed tomography imaging studies. Random-effects meta-analyses of 31 studies including 1087 healthy adults yielded large negative effects of age in 5-HT-2A receptors (largest in global cortex), moderate negative effects of age in 5-HT transporters (largest in thalamus), and small negative effects of age in 5-HT-1A receptors (largest in parietal cortex). Presynaptic 5-HT-1A autoreceptors in raphe/midbrain, however, were preserved across adulthood. Adult age differences were significantly larger in 5-HT-2A receptors compared with 5-HT-1A receptors. A meta-regression showed that 5-HT target, radionuclide, and publication year significantly moderated the age effects. The findings overall identify reduced serotonergic signal transmission in healthy aging. The evidence for the relative preservation of 5-HT-1A compared with 5-HT-2A receptors may partially explain psychological age differences, such as why older adults use more emotion-focused rather than problem-focused coping strategies.
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32
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Seaman KL, Smith CT, Juarez EJ, Dang LC, Castrellon JJ, Burgess LL, San Juan MD, Kundzicz PM, Cowan RL, Zald DH, Samanez-Larkin GR. Differential regional decline in dopamine receptor availability across adulthood: Linear and nonlinear effects of age. Hum Brain Mapp 2019; 40:3125-3138. [PMID: 30932295 DOI: 10.1002/hbm.24585] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 03/06/2019] [Accepted: 03/19/2019] [Indexed: 01/25/2023] Open
Abstract
Theories of adult brain development, based on neuropsychological test results and structural neuroimaging, suggest differential rates of age-related change in function across cortical and subcortical sub-regions. However, it remains unclear if these trends also extend to the aging dopamine system. Here we examined cross-sectional adult age differences in estimates of D2-like receptor binding potential across several cortical and subcortical brain regions using PET imaging and the radiotracer [18 F]Fallypride in two samples of healthy human adults (combined N = 132). After accounting for regional differences in overall radioligand binding, estimated percent difference in receptor binding potential by decade (linear effects) were highest in most temporal and frontal cortical regions (~6-16% per decade), moderate in parahippocampal gyrus, pregenual frontal cortex, fusiform gyrus, caudate, putamen, thalamus, and amygdala (~3-5%), and weakest in subcallosal frontal cortex, ventral striatum, pallidum, and hippocampus (~0-2%). Some regions showed linear effects of age while many showed curvilinear effects such that binding potential declined from young adulthood to middle age and then was relatively stable until old age. Overall, these data indicate that the rate and pattern of decline in D2 receptor availability is regionally heterogeneous. However, the differences across regions were challenging to organize within existing theories of brain development and did not show the same pattern of regional change that has been observed in gray matter volume, white matter integrity, or cognitive performance. This variation suggests that existing theories of adult brain development may need to be modified to better account for the spatial dynamics of dopaminergic system aging.
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Affiliation(s)
- Kendra L Seaman
- Center for the Study of Aging and Human Development, Duke University, Durham, North Carolina.,Center for Cognitive Neuroscience, Duke University, Durham, North Carolina
| | | | - Eric J Juarez
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina
| | - Linh C Dang
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - Jaime J Castrellon
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina
| | - Leah L Burgess
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - M Danica San Juan
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - Paul M Kundzicz
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - Ronald L Cowan
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - Gregory R Samanez-Larkin
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina.,Department of Psychology and Neuroscience, Duke University, Durham, North Carolina
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33
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Castrellon JJ, Seaman KL, Crawford JL, Young JS, Smith CT, Dang LC, Hsu M, Cowan RL, Zald DH, Samanez-Larkin GR. Individual Differences in Dopamine Are Associated with Reward Discounting in Clinical Groups But Not in Healthy Adults. J Neurosci 2019; 39:321-332. [PMID: 30446530 PMCID: PMC6325254 DOI: 10.1523/jneurosci.1984-18.2018] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Revised: 09/20/2018] [Accepted: 11/04/2018] [Indexed: 01/01/2023] Open
Abstract
Some people are more willing to make immediate, risky, or costly reward-focused choices than others, which has been hypothesized to be associated with individual differences in dopamine (DA) function. In two studies using PET imaging, one empirical (Study 1: N = 144 males and females across 3 samples) and one meta-analytic (Study 2: N = 307 across 12 samples), we sought to characterize associations between individual differences in DA and time, probability, and physical effort discounting in human adults. Study 1 demonstrated that individual differences in DA D2-like receptors were not associated with time or probability discounting of monetary rewards in healthy humans, and associations with physical effort discounting were inconsistent across adults of different ages. Meta-analytic results for temporal discounting corroborated our empirical finding for minimal effect of DA measures on discounting in healthy individuals but suggested that associations between individual differences in DA and reward discounting depend on clinical features. Addictions were characterized by negative correlations between DA and discounting, but other clinical conditions, such as Parkinson's disease, obesity, and attention-deficit/hyperactivity disorder, were characterized by positive correlations between DA and discounting. Together, the results suggest that trait differences in discounting in healthy adults do not appear to be strongly associated with individual differences in D2-like receptors. The difference in meta-analytic correlation effects between healthy controls and individuals with psychopathology suggests that individual difference findings related to DA and reward discounting in clinical samples may not be reliably generalized to healthy controls, and vice versa.SIGNIFICANCE STATEMENT Decisions to forgo large rewards for smaller ones due to increasing time delays, uncertainty, or physical effort have been linked to differences in dopamine (DA) function, which is disrupted in some forms of psychopathology. It remains unclear whether alterations in DA function associated with psychopathology also extend to explaining associations between DA function and decision making in healthy individuals. We show that individual differences in DA D2 receptor availability are not consistently related to monetary discounting of time, probability, or physical effort in healthy individuals across a broad age range. By contrast, we suggest that psychopathology accounts for observed inconsistencies in the relationship between measures of DA function and reward discounting behavior.
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Affiliation(s)
- Jaime J Castrellon
- Department of Psychology and Neuroscience,
- Center for Cognitive Neuroscience
| | - Kendra L Seaman
- Center for Cognitive Neuroscience
- Center for the Study of Aging and Human Development, Duke University, Durham, North Carolina 27708
- Department of Psychology, Yale University, New Haven, Connecticut 06511
| | | | - Jacob S Young
- Department of Psychology, Vanderbilt University, Nashville, Tennessee 37240
| | | | - Linh C Dang
- Department of Psychology, Vanderbilt University, Nashville, Tennessee 37240
| | - Ming Hsu
- Haas School of Business, University of California Berkeley, Berkeley, California 94720
| | - Ronald L Cowan
- Department of Psychology, Vanderbilt University, Nashville, Tennessee 37240
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, and Nashville, Tennessee 37212
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, Tennessee 37240
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, and Nashville, Tennessee 37212
| | - Gregory R Samanez-Larkin
- Department of Psychology and Neuroscience
- Center for Cognitive Neuroscience
- Center for the Study of Aging and Human Development, Duke University, Durham, North Carolina 27708
- Department of Psychology, Yale University, New Haven, Connecticut 06511
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