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Kommula Y, Callow DD, Purcell JJ, Smith JC. Acute Exercise Improves Large-Scale Brain Network Segregation in Healthy Older Adults. Brain Connect 2024. [PMID: 38888008 DOI: 10.1089/brain.2024.0003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024] Open
Abstract
Age-related cognitive decline and mental health problems are accompanied by changes in resting-state functional connectivity (rsFC) indices, such as reduced brain network segregation. Meanwhile, exercise can improve cognition, mood, and neural network function in older adults. Studies on effects of exercise on rsFC outcomes in older adults have chiefly focused on changes after exercise training and suggest improved network segregation via enhanced within-network connectivity. However, effects of acute exercise on rsFC measures of neural network integrity in older adults, which presumably underlie changes observed after exercise training, have received less attention. Here, we hypothesized that acute exercise in older adults would improve functional segregation of major cognition and affect-related brain networks. To test this, we analyzed rsFC data from 37 healthy and physically active older adults after they completed 30 minutes of moderate to vigorous intensity cycling and after they completed a seated rest control condition. Conditions were performed in a counterbalanced order across separate days in a within-subject crossover design. We considered large-scale brain networks associated with cognition and affect including the frontoparietal (FPN), salience (SAL), default mode (DMN), and affect-reward (ARN) networks. We observed that after acute exercise, there was greater segregation between SAL and DMN, as well as greater segregation between SAL and ARN. These findings indicate that acute exercise in active older adults alters rsFC measures in key cognition and affect-related networks in a manner that opposes age-related dedifferentiation of neural networks that may be detrimental to cognition and mental health.
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Affiliation(s)
- Yash Kommula
- University of Maryland at College Park, Kinesiology, College Park, Maryland, United States
- University of Maryland at College Park Neuroscience and Cognitive Science Program, College Park, Maryland, United States;
| | - Daniel Davidson Callow
- University of Maryland at College Park, Kinesiology, College Park, Maryland, United States
- University of Maryland at College Park Neuroscience and Cognitive Science Program, College Park, Maryland, United States;
| | - Jeremy Joseph Purcell
- University of Maryland at College Park, Kinesiology, College Park, Maryland, United States
- University of Maryland at College Park, Maryland Neuroimaging Center, College Park, Maryland, United States;
| | - J Carson Smith
- University of Maryland at College Park, Kinesiology, College Park, Maryland, United States
- University of Maryland at College Park Neuroscience and Cognitive Science Program, College Park, Maryland, United States
- University of Maryland at College Park, Maryland Neuroimaging Center, College Park, Maryland, United States;
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2
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Guo P, Zhou J, Su Y, Wang W, Hua H, Zhao P, Wang Y, Kang S, Liu M. Altered functional connectivity of the default mode network in non-arteritic anterior ischaemic optic neuropathy. Brain Commun 2024; 6:fcae186. [PMID: 38873004 PMCID: PMC11170661 DOI: 10.1093/braincomms/fcae186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 04/20/2024] [Accepted: 05/31/2024] [Indexed: 06/15/2024] Open
Abstract
The functional connectivity of the default mode network is important in understanding the neuro-pathophysiological abnormalities in patients with non-arteritic anterior ischaemic optic neuropathy. Independent component analysis can effectively determine within and between network connectivity of different brain components. Therefore, in order to explore the association between the default mode network and other brain regions, we utilized independent component analysis to investigate the alteration of functional connectivity of the default mode network. Thirty-one patients with non-arteritic anterior ischaemic optic neuropathy and 31 healthy controls, matched for age, sex and years of education, were recruited. For patients and healthy controls, functional connectivity within and between the default mode network and other brain regions were evaluated by independent component analysis. Compared with healthy controls, patients with non-arteritic anterior ischaemic optic neuropathy showed reduced functional connectivity within the default mode network in the right cerebellar tonsil and left cerebellum posterior lobe and increased functional connectivity in the left inferior temporal and right middle frontal gyri. Furthermore, patients with non-arteritic anterior ischaemic optic neuropathy showed reduced functional connectivity between the default mode network and other brain regions in the left cerebellar tonsil and increased functional connectivity in the right putamen, left thalamus, right middle temporal and left middle frontal gyri. In conclusion, negative correlations between several clinical parameters and functional connectivity of the default mode network were observed. The study contributes to understanding the mechanism of functional reorganization in non-arteritic anterior ischaemic optic neuropathy.
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Affiliation(s)
- Pengde Guo
- Department of Radiology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, PR China
| | - Jian Zhou
- Department of Ophthalmology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, PR China
| | - Yan Su
- Department of Ophthalmology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, PR China
| | - Weixin Wang
- Department of Radiology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, PR China
| | - Haiqin Hua
- Department of Radiology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, PR China
| | - Pengbo Zhao
- Department of Ophthalmology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, PR China
| | - Yan Wang
- Department of Radiology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, PR China
| | - Shaohong Kang
- Department of Radiology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, PR China
| | - Ming Liu
- Department of Radiology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, PR China
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3
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Pauley C, Zeithamova D, Sander MC. Age differences in functional connectivity track dedifferentiation of category representations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.04.574135. [PMID: 38260463 PMCID: PMC10802339 DOI: 10.1101/2024.01.04.574135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
With advancing age, the distinctiveness of neural representations of information declines. While the finding of this so-called 'age-related neural dedifferentiation' in category-selective neural regions is well-described, the contribution of age-related changes in network organization to dedifferentiation is unknown. Here, we asked whether age differences in a) whole-brain network segregation (i.e., network dedifferentiation) and b) functional connectivity to category-selective neural regions contribute to regional dedifferentiation of categorical representations. Younger and older adults viewed blocks of face and house stimuli in the fMRI scanner. We found an age-related decline in neural distinctiveness for faces in the fusiform gyrus (FG) and for houses in the parahippocampal gyrus (PHG). Functional connectivity analyses revealed age-related dedifferentiation of global network structure as well as age differences in connectivity between the FG and early visual cortices. Interindividual correlations demonstrated that regional distinctiveness was related to network segregation as well as connectivity of the FG to the visual network. Together, our findings reveal that dedifferentiation of categorical representations may be linked to age-related reorganization of functional networks.
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Affiliation(s)
- Claire Pauley
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany
- Faculty of Life Sciences, Humboldt-Universität zu Berlin, 10115 Berlin, Germany
| | - Dagmar Zeithamova
- Department of Psychology, University of Oregon, 97403 Eugene, Oregon, USA
| | - Myriam C. Sander
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany
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4
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Meachon EJ, Kundlacz M, Wilmut K, Alpers GW. EEG spectral power in developmental coordination disorder and attention-deficit/hyperactivity disorder: a pilot study. Front Psychol 2024; 15:1330385. [PMID: 38765829 PMCID: PMC11099285 DOI: 10.3389/fpsyg.2024.1330385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/22/2024] [Indexed: 05/22/2024] Open
Abstract
Developmental coordination disorder (DCD) and attention-deficit/hyperactivity disorder (ADHD) overlap in symptoms and often co-occur. Differentiation of DCD and ADHD is crucial for a better understanding of the conditions and targeted support. Measuring electrical brain activity with EEG may help to discern and better understand the conditions given that it can objectively capture changes and potential differences in brain activity related to externally measurable symptoms beneficial for targeted interventions. Therefore, a pilot study was conducted to exploratorily examine neurophysiological differences between adults with DCD and/or ADHD at rest. A total of N = 46 adults with DCD (n = 12), ADHD (n = 9), both DCD + ADHD (n = 8), or typical development (n = 17) completed 2 min of rest with eyes-closed and eyes-open while their EEG was recorded. Spectral power was calculated for frequency bands: delta (0.5-3 Hz), theta (3.5-7 Hz), alpha (7.5-12.5 Hz), beta (13-25 Hz), mu (8-13 Hz), gamma (low: 30-40 Hz; high: 40-50 Hz). Within-participants, spectral power in a majority of waveforms significantly increased from eyes-open to eyes-closed conditions. Groups differed significantly in occipital beta power during the eyes-open condition, driven by the DCD versus typically developing group comparison. However, other group comparisons reached only marginal significance, including whole brain alpha and mu power with eyes-open, and frontal beta and occipital high gamma power during eyes-closed. While no strong markers could be determined to differentiate DCD versus ADHD, we theorize that several patterns in beta activity were indicative of potential motor maintenance differences in DCD at rest. Therefore, larger studies comparing EEG spectral power may be useful to identify neurological mechanisms of DCD and continued differentiation of DCD and ADHD.
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Affiliation(s)
- Emily J. Meachon
- School of Social Sciences, University of Mannheim, Mannheim, Germany
- Faculty of Psychology, University of Basel, Basel, Switzerland
| | - Marlene Kundlacz
- School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Kate Wilmut
- Centre for Psychological Research, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, United Kingdom
| | - Georg W. Alpers
- School of Social Sciences, University of Mannheim, Mannheim, Germany
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5
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Berchio C, Kumar SS, Micali N. EEG Spatial-temporal Dynamics of Resting-state Activity in Young Women with Anorexia Nervosa: Preliminary Evidence. Brain Topogr 2024; 37:447-460. [PMID: 37615798 DOI: 10.1007/s10548-023-01001-7] [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: 05/12/2023] [Accepted: 08/14/2023] [Indexed: 08/25/2023]
Abstract
The aim of this study was to provide preliminary evidence on temporal dynamics of resting-state brain networks in youth with anorexia nervosa (AN) using electroencephalography (EEG). Resting-state EEG data were collected in 18 young women with AN and 18 healthy controls (HC). Between-group differences in brain networks were assessed using microstates analyses. Five microstates were identified across all subjects (A, B, C, D, E). Using a single set of maps representative of the whole dataset, group differences were identified for microstates A, C, and E. A common-for-all template revealed a relatively high degree of consistency in results for reduced time coverage of microstate C, but also an increased presence of microstate class E. AN and HC had different microstate transition probabilities, largely involving microstate A. Using LORETA, for microstate D, we found that those with AN had augmented activations in the left frontal inferior operculum, left insula, and bilateral paracentral lobule, compared with HC. For microstate E, AN had augmented activations in the para-hippocampal gyrus, caudate, pallidum, cerebellum, and cerebellar vermis. Our findings suggest altered microstates in young women with AN associated with integration of sensory and bodily signals, monitoring of internal/external mental states, and self-referential processes. Future research should examine how EEG-derived microstates could be applied to develop diagnostic and prognostic models of AN.
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Affiliation(s)
- Cristina Berchio
- Group of Psychiatric Neuroscience, Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Piazza Giulio Cesare, 11, 70121, Bari, Italy.
| | - Samika S Kumar
- Department of Psychology, University of Cambridge, Cambridge, UK
- Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA
| | - Nadia Micali
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Mental Health Services in the Capital Region of Denmark, Eating Disorders Research Unit, Psychiatric Centre Ballerup, Ballerup, Denmark
- Institute of biological Psychiatry, Psykiatrisk Center Sct. Hans, Region Hovedstaden, Denmark
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6
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Luo W, Liu B, Tang Y, Huang J, Wu J. Rest to Promote Learning: A Brain Default Mode Network Perspective. Behav Sci (Basel) 2024; 14:349. [PMID: 38667145 PMCID: PMC11047624 DOI: 10.3390/bs14040349] [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: 01/27/2024] [Revised: 04/13/2024] [Accepted: 04/17/2024] [Indexed: 04/29/2024] Open
Abstract
The brain often switches freely between focused attention and divergent thinking, and the Default Mode Network (DMN) is activated during brain rest. Since its discovery, the DMN, together with its function and characteristics, indicates that learning does not stop when the brain "rests". Therefore, DMN plays an important role in learning. Neural activities such as beta wave rhythm regulation, "subconscious" divergence thinking mode initiation, hippocampal function, and neural replay occur during default mode, all of which explains that "rest" promotes learning. This paper summarized the function and neural mechanism of DMN in learning and proposed that the DMN plays an essential role in learning, which is that it enables rest to promote learning.
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Affiliation(s)
- Wei Luo
- Department of Applied Psychology, School of Education Sciences, Nanning Normal University, Nanning 530299, China; (W.L.); (Y.T.)
- Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Guangxi Education Modernization and Quality Monitoring Research Center, Nanning 530001, China
| | - Biao Liu
- School of Foreign Languages, Nanning Normal University, Nanning 530100, China;
| | - Ying Tang
- Department of Applied Psychology, School of Education Sciences, Nanning Normal University, Nanning 530299, China; (W.L.); (Y.T.)
| | - Jingwen Huang
- Department of Science Research, Guangxi University, Nanning 530004, China;
| | - Ji Wu
- Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
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7
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Xu Y, Li X, Yan Q, Zhang Y, Shang S, Xing C, Wu Y, Guan B, Chen YC. Topological disruption of low- and high-order functional networks in presbycusis. Brain Commun 2024; 6:fcae119. [PMID: 38638149 PMCID: PMC11025675 DOI: 10.1093/braincomms/fcae119] [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: 08/18/2023] [Revised: 03/08/2024] [Accepted: 04/05/2024] [Indexed: 04/20/2024] Open
Abstract
Prior efforts have manifested that functional connectivity (FC) network disruptions are concerned with cognitive disorder in presbycusis. The present research was designed to investigate the topological reorganization and classification performance of low-order functional connectivity (LOFC) and high-order functional connectivity (HOFC) networks in patients with presbycusis. Resting-state functional magnetic resonance imaging (Rs-fMRI) data were obtained in 60 patients with presbycusis and 50 matched healthy control subjects (HCs). LOFC and HOFC networks were then constructed, and the topological metrics obtained from the constructed networks were compared to evaluate topological differences in global, nodal network metrics, modularity and rich-club organization between patients with presbycusis and HCs. The use of HOFC profiles boosted presbycusis classification accuracy, sensitivity and specificity compared to that using LOFC profiles. The brain networks in both patients with presbycusis and HCs exhibited small-world properties within the given threshold range, and striking differences between groups in topological metrics were discovered in the constructed networks (LOFC and HOFC). NBS analysis identified a subnetwork involving 26 nodes and 23 signally altered internodal connections in patients with presbycusis in comparison to HCs in HOFC networks. This study highlighted the topological differences between LOFC and HOFC networks in patients with presbycusis, suggesting that HOFC profiles may help to further identify brain network abnormalities in presbycusis.
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Affiliation(s)
- Yixi Xu
- Department of Otolaryngology, Head and Neck Surgery, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222000, China
| | - Xiangxiang Li
- Department of Nephrology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing 210006, China
| | - Qi Yan
- Department of Otolaryngology, Head and Neck Surgery, Clinical Medical College, Yangzhou University, Yangzhou 225001, China
| | - Yao Zhang
- Department of Otolaryngology, Head and Neck Surgery, Clinical Medical College, Yangzhou University, Yangzhou 225001, China
| | - Song’an Shang
- Department of Radiology, Clinical Medical College, Yangzhou University, Yangzhou 225001, China
| | - Chunhua Xing
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Yuanqing Wu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Bing Guan
- Department of Otolaryngology, Head and Neck Surgery, Clinical Medical College, Yangzhou University, Yangzhou 225001, China
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
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8
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Orlichenko A, Su KJ, Shen H, Deng HW, Wang YP. Somatomotor-visual resting state functional connectivity increases after 2 years in the UK Biobank longitudinal cohort. J Med Imaging (Bellingham) 2024; 11:024010. [PMID: 38618171 PMCID: PMC11009525 DOI: 10.1117/1.jmi.11.2.024010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 01/26/2024] [Accepted: 03/29/2024] [Indexed: 04/16/2024] Open
Abstract
Purpose Functional magnetic resonance imaging (fMRI) and functional connectivity (FC) have been used to follow aging in both children and older adults. Robust changes have been observed in children, in which high connectivity among all brain regions changes to a more modular structure with maturation. We examine FC changes in older adults after 2 years of aging in the UK Biobank (UKB) longitudinal cohort. Approach We process fMRI connectivity data using the Power264 atlas and then test whether the average internetwork FC changes in the 2722-subject longitudinal cohort are statistically significant using a Bonferroni-corrected t -test. We also compare the ability of Power264 and UKB-provided, independent component analysis (ICA)-based FC to determine which of a longitudinal scan pair is older. Finally, we investigate cross-sectional FC changes as well as differences due to differing scanner tasks in the UKB, Philadelphia Neurodevelopmental Cohort, and Alzheimer's Disease Neuroimaging Initiative datasets. Results We find a 6.8% average increase in somatomotor network (SMT)-visual network (VIS) connectivity from younger to older scans (corrected p < 10 - 15 ) that occurs in male, female, older subject (> 65 years old), and younger subject (< 55 years old) groups. Among all internetwork connections, the average SMT-VIS connectivity is the best predictor of relative scan age. Using the full FC and a training set of 2000 subjects, one is able to predict which scan is older 82.5% of the time using either the full Power264 FC or the UKB-provided ICA-based FC. Conclusions We conclude that SMT-VIS connectivity increases with age in the UKB longitudinal cohort and that resting state FC increases with age in the UKB cross-sectional cohort.
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Affiliation(s)
- Anton Orlichenko
- Tulane University, Department of Biomedical Engineering, New Orleans, Louisiana, United States
| | - Kuan-Jui Su
- Tulane University, School of Medicine, Center for Biomedical Informatics and Genomics, New Orleans, Louisiana, United States
| | - Hui Shen
- Tulane University, School of Medicine, Center for Biomedical Informatics and Genomics, New Orleans, Louisiana, United States
| | - Hong-Wen Deng
- Tulane University, School of Medicine, Center for Biomedical Informatics and Genomics, New Orleans, Louisiana, United States
| | - Yu-Ping Wang
- Tulane University, Department of Biomedical Engineering, New Orleans, Louisiana, United States
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9
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Boerwinkle VL, Manjón I, Sussman BL, McGary A, Mirea L, Gillette K, Broman-Fulks J, Cediel EG, Arhin M, Hunter SE, Wyckoff SN, Allred K, Tom D. Resting-State Functional Magnetic Resonance Imaging Network Association With Mortality, Epilepsy, Cognition, and Motor Two-Year Outcomes in Suspected Severe Neonatal Acute Brain Injury. Pediatr Neurol 2024; 152:41-55. [PMID: 38198979 DOI: 10.1016/j.pediatrneurol.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 11/14/2023] [Accepted: 12/06/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND AND OBJECTIVES In acute brain injury of neonates, resting-state functional magnetic resonance imaging (MRI) (RS) showed incremental association with consciousness, mortality, cognitive and motor development, and epilepsy, with correction for multiple comparisons, at six months postgestation in neonates with suspected acute brain injury (ABI). However, there are relatively few developmental milestones at six months to benchmark against, thus, we extended this cohort study to evaluate two-year outcomes. METHODS In 40 consecutive neonates with ABI and RS, ordinal scores of resting-state networks; MRI, magnetic resonance spectroscopy, and electroencephalography; and up to 42-month outcomes of mortality, general and motor development, Pediatric Cerebral Performance Category Scale (PCPC), and epilepsy informed associations between tests and outcomes. RESULTS Mean gestational age was 37.8 weeks, 68% were male, and 60% had hypoxic-ischemic encephalopathy. Three died in-hospital, four at six to 42 months, and five were lost to follow-up. Associations included basal ganglia network with PCPC (P = 0.0003), all-mortality (P = 0.005), and motor (P = 0.0004); language/frontoparietal network with developmental delay (P = 0.009), PCPC (P = 0.006), and all-mortality (P = 0.01); default mode network with developmental delay (P = 0.003), PCPC (P = 0.004), neonatal intensive care unit mortality (P = 0.01), and motor (P = 0.009); RS seizure onset zone with epilepsy (P = 0.01); and anatomic MRI with epilepsy (P = 0.01). CONCLUSION For the first time, at any age, resting state functional MRI in ABI is associated with long-term epilepsy and RSNs predicted mortality in neonates. Severity of RSN abnormality was associated with incrementally worsened neurodevelopment including cognition, language, and motor function over two years.
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Affiliation(s)
- Varina L Boerwinkle
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina.
| | - Iliana Manjón
- University of Arizona College of Medicine - Tucson, Tucson, Arizona
| | - Bethany L Sussman
- Division of Neuroscience Research, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona
| | - Alyssa McGary
- Department of Clinical Research, Phoenix Children's Hospital, Phoenix, Arizona
| | - Lucia Mirea
- Department of Clinical Research, Phoenix Children's Hospital, Phoenix, Arizona
| | - Kirsten Gillette
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina
| | - Jordan Broman-Fulks
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina
| | - Emilio G Cediel
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina
| | - Martin Arhin
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina
| | - Senyene E Hunter
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina
| | - Sarah N Wyckoff
- Division of Neuroscience Research, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona
| | - Kimberlee Allred
- Division of Neonatology, Phoenix Children's Hospital, Phoenix, Arizona
| | - Deborah Tom
- Division of Neonatology, Phoenix Children's Hospital, Phoenix, Arizona
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10
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Mitchell RHB, Grigorian A, Robertson A, Toma S, Luciw NJ, Karthikeyan S, Mutsaerts HJMM, Fiksenbaum L, Metcalfe AWS, MacIntosh BJ, Goldstein BI. Sex differences in cerebral blood flow among adolescents with bipolar disorder. Bipolar Disord 2024; 26:33-43. [PMID: 37217255 DOI: 10.1111/bdi.13326] [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] [Indexed: 05/24/2023]
Abstract
BACKGROUND Abnormalities in cerebral blood flow (CBF) are common in bipolar disorder (BD). Despite known differences in CBF between healthy adolescent males and females, sex differences in CBF among adolescents with BD have never been studied. OBJECTIVE To examine sex differences in CBF among adolescents with BD versus healthy controls (HC). METHODS CBF images were acquired using arterial spin labeling (ASL) perfusion magnetic resonance imaging (MRI) in 123 adolescents (72 BD: 30M, 42F; 51 HC: 22M, 29F) matched for age (13-20 years). Whole brain voxel-wise analysis was performed in a general linear model with sex and diagnosis as fixed factors, sex-diagnosis interaction effect, and age as a covariate. We tested for main effects of sex, diagnosis, and their interaction. Results were thresholded at cluster forming p = 0.0125, with posthoc Bonferroni correction (p = 0.05/4 groups). RESULTS A main effect of diagnosis (BD > HC) was observed in the superior longitudinal fasciculus (SLF), underlying the left precentral gyrus (F =10.24 (3), p < 0.0001). A main effect of sex (F > M) on CBF was detected in the precuneus/posterior cingulate cortex (PCC), left frontal and occipital poles, left thalamus, left SLF, and right inferior longitudinal fasciculus (ILF). No regions demonstrated a significant sex-by-diagnosis interaction. Exploratory pairwise testing in regions with a main effect of sex revealed greater CBF in females with BD versus HC in the precuneus/PCC (F = 7.1 (3), p < 0.01). CONCLUSION Greater CBF in female adolescents with BD versus HC in the precuneus/PCC may reflect the role of this region in the neurobiological sex differences of adolescent-onset BD. Larger studies targeting underlying mechanisms, such as mitochondrial dysfunction or oxidative stress, are warranted.
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Affiliation(s)
- Rachel H B Mitchell
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Anahit Grigorian
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Andrew Robertson
- Department of Kinesiology, Research Institute for Aging, University of Waterloo, Ontario, Canada
| | - Simina Toma
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Nicholas J Luciw
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Sudhir Karthikeyan
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Henri J M M Mutsaerts
- Radiology and Nuclear Medicine Vrje Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | - Lisa Fiksenbaum
- Department of Applied Psychology and Human Development, University of Toronto, Toronto, Ontario, Canada
| | - Arron W S Metcalfe
- Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program , Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program , Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Benjamin I Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Pharmacology, University of Toronto, Toronto, Ontario, Canada
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11
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Kim HE, Kim JJ, Seok JH, Park JY, Oh J. Resting-state functional connectivity and cognitive performance in aging adults with cognitive decline: A data-driven multivariate pattern analysis. Compr Psychiatry 2024; 129:152445. [PMID: 38154288 DOI: 10.1016/j.comppsych.2023.152445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 11/23/2023] [Accepted: 12/14/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Cognitive impairments occur on a continuous spectrum in multiple cognitive domains showing individual variability of the deteriorating patterns; however, often, cognitive domains are studied separately. METHODS The present study investigated aging individual variations of cognitive abilities and related resting-state functional connectivity (rsFC) using data-driven approach. Cognitive and neuroimaging data were obtained from 62 elderly outpatients with cognitive decline. Principal component analysis (PCA) was conducted on the cognitive data to determine patterns of cognitive performance, then data-driven whole-brain connectome multivariate pattern analysis (MVPA) was applied on the neuroimaging data to discover neural regions associated with the cognitive characteristic. RESULTS The first component (PC1) delineated an overall decline in all domains of cognition, and the second component (PC2) represented a compensatory relationship within basic cognitive functions. MVPA indicated rsFC of the cerebellum lobule VIII and insula with the default-mode network, frontoparietal network, and salience network inversely correlated with PC1 scores. Additionally, PC2 score was related to rsFC patterns with temporal pole and occipital cortex. CONCLUSIONS The featured primary cognitive characteristic depicted the importance of the cerebellum and insula connectivity patterns in of the general cognitive decline. The findings also discovered a secondary characteristic that communicated impaired interactions within the basic cognitive function, which was independent from the impairment severity.
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Affiliation(s)
- Hesun Erin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae-Jin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jeong-Ho Seok
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Young Park
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea
| | - Jooyoung Oh
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
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12
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Inderyas M, Thapaliya K, Marshall-Gradisnik S, Barth M, Barnden L. Subcortical and default mode network connectivity is impaired in myalgic encephalomyelitis/chronic fatigue syndrome. Front Neurosci 2024; 17:1318094. [PMID: 38347875 PMCID: PMC10859529 DOI: 10.3389/fnins.2023.1318094] [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: 10/11/2023] [Accepted: 12/27/2023] [Indexed: 02/15/2024] Open
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex chronic condition with core symptoms of fatigue and cognitive dysfunction, suggesting a key role for the central nervous system in the pathophysiology of this disease. Several studies have reported altered functional connectivity (FC) related to motor and cognitive deficits in ME/CFS patients. In this study, we compared functional connectivity differences between 31 ME/CFS and 15 healthy controls (HCs) using 7 Tesla MRI. Functional scans were acquired during a cognitive Stroop color-word task, and blood oxygen level-dependent (BOLD) time series were computed for 27 regions of interest (ROIs) in the cerebellum, brainstem, and salience and default mode networks. A region-based comparison detected reduced FC between the pontine nucleus and cerebellum vermis IX (p = 0.027) for ME/CFS patients compared to HCs. Our ROI-to-voxel analysis found significant impairment of FC within the ponto-cerebellar regions in ME/CFS. Correlation analyses of connectivity with clinical scores in ME/CFS patients detected associations between FC and 'duration of illness' and 'memory scores' in salience network hubs and cerebellum vermis and between FC and 'respiratory rate' within the medulla and the default mode network FC. This novel investigation is the first to report the extensive involvement of aberrant ponto-cerebellar connections consistent with ME/CFS symptomatology. This highlights the involvement of the brainstem and the cerebellum in the pathomechanism of ME/CFS.
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Affiliation(s)
- Maira Inderyas
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
| | - Kiran Thapaliya
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
| | - Sonya Marshall-Gradisnik
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
| | - Markus Barth
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
- School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia
| | - Leighton Barnden
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
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13
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Mandino F, Shen X, Desrosiers-Gregoire G, O'Connor D, Mukherjee B, Owens A, Qu A, Onofrey J, Papademetris X, Chakravarty MM, Strittmatter SM, Lake EM. Aging-Dependent Loss of Connectivity in Alzheimer's Model Mice with Rescue by mGluR5 Modulator. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.15.571715. [PMID: 38260465 PMCID: PMC10802481 DOI: 10.1101/2023.12.15.571715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Amyloid accumulation in Alzheimer's disease (AD) is associated with synaptic damage and altered connectivity in brain networks. While measures of amyloid accumulation and biochemical changes in mouse models have utility for translational studies of certain therapeutics, preclinical analysis of altered brain connectivity using clinically relevant fMRI measures has not been well developed for agents intended to improve neural networks. Here, we conduct a longitudinal study in a double knock-in mouse model for AD ( App NL-G-F /hMapt ), monitoring brain connectivity by means of resting-state fMRI. While the 4-month-old AD mice are indistinguishable from wild-type controls (WT), decreased connectivity in the default-mode network is significant for the AD mice relative to WT mice by 6 months of age and is pronounced by 9 months of age. In a second cohort of 20-month-old mice with persistent functional connectivity deficits for AD relative to WT, we assess the impact of two-months of oral treatment with a silent allosteric modulator of mGluR5 (BMS-984923) known to rescue synaptic density. Functional connectivity deficits in the aged AD mice are reversed by the mGluR5-directed treatment. The longitudinal application of fMRI has enabled us to define the preclinical time trajectory of AD-related changes in functional connectivity, and to demonstrate a translatable metric for monitoring disease emergence, progression, and response to synapse-rescuing treatment.
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14
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Kim BH, Baek J, Kim O, Kim H, Ko M, Chu SH, Jung YC. North Korean defectors with PTSD and complex PTSD show alterations in default mode network resting-state functional connectivity. BJPsych Open 2024; 10:e25. [PMID: 38179593 PMCID: PMC10790227 DOI: 10.1192/bjo.2023.636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/10/2023] [Accepted: 11/28/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND North Korean defectors (NKDs) have often been exposed to traumatic events. However, there have been few studies of neural alterations in NKDs with post-traumatic stress disorder (PTSD) and complex PTSD (cPTSD). AIMS To investigate neural alterations in NKDs with PTSD and cPTSD, with a specific focus on alterations in resting-state functional connectivity networks, including the default mode network (DMN). METHOD Resting-state functional connectivity was assessed using brain functional magnetic resonance imaging in three groups of NKDs: without PTSD, with PTSD and with cPTSD. Statistical tests were performed, including region of interest (ROI)-to-ROI and ROI-to-voxel analysis, followed by post hoc correlation analysis. RESULTS In the ROI-to-ROI analysis, differences in functional connectivity were found among the components of the DMN, as well as in the thalamus and the basal ganglia. Right hippocampus-left pallidum and right amygdala-left lingual gyrus connectivity differed between groups in the ROI-to-voxel analysis, as did connectivity involving the basal ganglia. The post hoc analysis revealed negative correlations between Coping and Adaptation Processing Scale (CAPS) score and left posterior cingulate cortex-right pallidum connectivity and between CAPS score and right putamen-left angular gyrus connectivity in the control group, which were not observed in other groups. CONCLUSIONS The results suggest that there are alterations in the functional connectivity of the DMN and the limbic system in NKDs with PTSD and cPTSD, and that these alterations involve the basal ganglia. The lower correlations of CAPS score with right basal ganglia-DMN functional connectivity in patients compared with controls further implies that these connectivities are potential targets for treatment of PTSD and cPTSD.
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Affiliation(s)
- Byung-Hoon Kim
- Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea; and Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jiwon Baek
- Mo-Im Kim Nursing Research Institute, Yonsei University College of Nursing, Seoul, South Korea
| | - Ocksim Kim
- Department of Nursing, Yonsei University College of Nursing and Brain Korea 21 FOUR Project, Seoul, South Korea
| | - Hokon Kim
- Department of Nursing, Yonsei University College of Nursing, Seoul, South Korea; and Brain Korea 21 FOUR Project, Seoul, South Korea
| | - Minjeong Ko
- Department of Nursing, Yonsei University College of Nursing, Seoul, South Korea
| | - Sang Hui Chu
- Mo-Im Kim Nursing Research Institute, Yonsei University College of Nursing, Seoul, South Korea; and Department of Nursing, Yonsei University College of Nursing, Seoul, South Korea
| | - Young-Chul Jung
- Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea; and Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
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15
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Zhang J, Li X, Liu S, Xu C, Zhang Z. Frequent media multitasking modulates the temporal dynamics of resting-state electroencephalography networks. Int J Psychophysiol 2024; 195:112265. [PMID: 37981033 DOI: 10.1016/j.ijpsycho.2023.112265] [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: 09/15/2023] [Revised: 11/01/2023] [Accepted: 11/16/2023] [Indexed: 11/21/2023]
Abstract
Multitasking with two or more media and devices has become increasingly common in our daily lives. The impact of chronic media multitasking on our cognitive abilities has received extensive concern. Converging studies have shown that heavy media multitaskers (HMM) have a greater demand for sensation seeking and are more easily distracted by task-irrelevant information than light media multitaskers (LMM). In this study, we analyzed the electroencephalogram data recorded during resting-state periods to investigate whether HMM and LMM differ with regard to basic resting network activation. Microstate analysis revealed that the activation of the attention network is weakened while the activation of the salience network is enhanced in HMM compared to LMM. This suggests that HMM's attention control is more likely to be guided by surrounding stimuli, which indirectly supports the deficit-producing hypothesis. Moreover, our results revealed that HMM had an enhanced visual network and may feel less comfortable than LMM during resting-state periods with eyes closed, supporting the view that HMM require more sensation seeking than LMM. Taken together, these results indicate that chronic media multitasking leads to HMM allocating attention in a bottom-up or stimulus-driven manner, while LMM deploy a top-down approach.
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Affiliation(s)
- Jie Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Xiyan Li
- Department of Psychology, Hebei Normal University, Shijiazhuang, China
| | - Shiwei Liu
- Department of Education, Woosuk University, Wanju, Republic of Korea
| | - Can Xu
- Department of Neurosurgery, First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zhijie Zhang
- Department of Psychology, Hebei Normal University, Shijiazhuang, China.
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16
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Roell L, Keeser D, Papazov B, Lembeck M, Papazova I, Greska D, Muenz S, Schneider-Axmann T, Sykorova EB, Thieme CE, Vogel BO, Mohnke S, Huppertz C, Roeh A, Keller-Varady K, Malchow B, Stoecklein S, Ertl-Wagner B, Henkel K, Wolfarth B, Tantchik W, Walter H, Hirjak D, Schmitt A, Hasan A, Meyer-Lindenberg A, Falkai P, Maurus I. Effects of Exercise on Structural and Functional Brain Patterns in Schizophrenia-Data From a Multicenter Randomized-Controlled Study. Schizophr Bull 2024; 50:145-156. [PMID: 37597507 PMCID: PMC10754172 DOI: 10.1093/schbul/sbad113] [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] [Indexed: 08/21/2023]
Abstract
BACKGROUND AND HYPOTHESIS Aerobic exercise interventions in people with schizophrenia have been demonstrated to improve clinical outcomes, but findings regarding the underlying neural mechanisms are limited and mainly focus on the hippocampal formation. Therefore, we conducted a global exploratory analysis of structural and functional neural adaptations after exercise and explored their clinical implications. STUDY DESIGN In this randomized controlled trial, structural and functional MRI data were available for 91 patients with schizophrenia who performed either aerobic exercise on a bicycle ergometer or underwent a flexibility, strengthening, and balance training as control group. We analyzed clinical and neuroimaging data before and after 6 months of regular exercise. Bayesian linear mixed models and Bayesian logistic regressions were calculated to evaluate effects of exercise on multiple neural outcomes and their potential clinical relevance. STUDY RESULTS Our results indicated that aerobic exercise in people with schizophrenia led to structural and functional adaptations mainly within the default-mode network, the cortico-striato-pallido-thalamo-cortical loop, and the cerebello-thalamo-cortical pathway. We further observed that volume increases in the right posterior cingulate gyrus as a central node of the default-mode network were linked to improvements in disorder severity. CONCLUSIONS These exploratory findings suggest a positive impact of aerobic exercise on 3 cerebral networks that are involved in the pathophysiology of schizophrenia. CLINICAL TRIALS REGISTRATION The underlying study of this manuscript was registered in the International Clinical Trials Database, ClinicalTrials.gov (NCT number: NCT03466112, https://clinicaltrials.gov/ct2/show/NCT03466112?term=NCT03466112&draw=2&rank=1) and in the German Clinical Trials Register (DRKS-ID: DRKS00009804).
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Affiliation(s)
- Lukas Roell
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Neuroimaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Neuroimaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Boris Papazov
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Moritz Lembeck
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Irina Papazova
- Department of Psychiatry, Psychotherapy and Psychosomatics of the University Augsburg, Medical Faculty, University of Augsburg, Bezirkskrankenhaus Augsburg, Augsburg, Germany
| | - David Greska
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Susanne Muenz
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Thomas Schneider-Axmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Eliska B Sykorova
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Christina E Thieme
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Bob O Vogel
- Department of Psychiatry and Psychotherapy, University Hospital Charité Berlin, Berlin, Germany
| | - Sebastian Mohnke
- Department of Psychiatry and Psychotherapy, University Hospital Charité Berlin, Berlin, Germany
| | - Charlotte Huppertz
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Astrid Roeh
- Department of Psychiatry, Psychotherapy and Psychosomatics of the University Augsburg, Medical Faculty, University of Augsburg, Bezirkskrankenhaus Augsburg, Augsburg, Germany
| | - Katriona Keller-Varady
- Hannover Medical School, Department of Rehabilitation and Sports Medicine, Hannover, Germany
| | - Berend Malchow
- Department of Psychiatry and Psychotherapy, University Hospital Göttingen, Göttingen, Germany
| | - Sophia Stoecklein
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Birgit Ertl-Wagner
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Division of Neuroradiology, Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Karsten Henkel
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Bernd Wolfarth
- Department of Sports Medicine, University Hospital Charité Berlin, Berlin, Germany
| | - Wladimir Tantchik
- Department of Psychiatry and Psychotherapy, University Hospital Charité Berlin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, University Hospital Charité Berlin, Berlin, Germany
| | - Dusan Hirjak
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Andrea Schmitt
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Laboratory of Neuroscience (LIM27), Institute of Psychiatry, University of Sao Paulo, São Paulo, Brazil
| | - Alkomiet Hasan
- Department of Psychiatry, Psychotherapy and Psychosomatics of the University Augsburg, Medical Faculty, University of Augsburg, Bezirkskrankenhaus Augsburg, Augsburg, Germany
| | | | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Isabel Maurus
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
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Tan Z, Zeng Q, Hu X, Di D, Chen L, Lin Z, Cheng G. Altered dynamic functional network connectivity in drug-naïve Parkinson's disease patients with excessive daytime sleepiness. Front Aging Neurosci 2023; 15:1282962. [PMID: 38125809 PMCID: PMC10731041 DOI: 10.3389/fnagi.2023.1282962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/23/2023] [Indexed: 12/23/2023] Open
Abstract
Background Excessive daytime sleepiness (EDS) is a frequent nonmotor symptoms of Parkinson's disease (PD), which seriously affects the quality of life of PD patients and exacerbates other nonmotor symptoms. Previous studies have used static analyses of these resting-state functional magnetic resonance imaging (rs-fMRI) data were measured under the assumption that the intrinsic fluctuations during MRI scans are stationary. However, dynamic functional network connectivity (dFNC) analysis captures time-varying connectivity over short time scales and may reveal complex functional tissues in the brain. Purpose To identify dynamic functional connectivity characteristics in PD-EDS patients in order to explain the underlying neuropathological mechanisms. Methods Based on rs-fMRI data from 16 PD patients with EDS and 41 PD patients without EDS, we applied the sliding window approach, k-means clustering and independent component analysis to estimate the inherent dynamic connectivity states associated with EDS in PD patients and investigated the differences between groups. Furthermore, to assess the correlations between the altered temporal properties and the Epworth sleepiness scale (ESS) scores. Results We found four distinct functional connectivity states in PD patients. The patients in the PD-EDS group showed increased fractional time and mean dwell time in state IV, which was characterized by strong connectivity in the sensorimotor (SMN) and visual (VIS) networks, and reduced fractional time in state I, which was characterized by strong positive connectivity intranetwork of the default mode network (DMN) and VIS, while negative connectivity internetwork between the DMN and VIS. Moreover, the ESS scores were positively correlated with fraction time in state IV. Conclusion Our results indicated that the strong connectivity within and between the SMN and VIS was characteristic of EDS in PD patients, which may be a potential marker of pathophysiological features related to EDS in PD patients.
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Affiliation(s)
- Zhiyi Tan
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Qiaoling Zeng
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Xuehan Hu
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Duoduo Di
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Lele Chen
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Zhijian Lin
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Guanxun Cheng
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
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18
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Silchenko AN, Hoffstaedter F, Eickhoff SB. Impact of sample size and regression of tissue-specific signals on effective connectivity within the core default mode network. Hum Brain Mapp 2023; 44:5858-5870. [PMID: 37713540 PMCID: PMC10619387 DOI: 10.1002/hbm.26481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 07/24/2023] [Accepted: 08/28/2023] [Indexed: 09/17/2023] Open
Abstract
Interactions within brain networks are inherently directional, which are inaccessible to classical functional connectivity estimates from resting-state functional magnetic resonance imaging (fMRI) but can be detected using spectral dynamic causal modeling (DCM). The sample size and unavoidable presence of nuisance signals during fMRI measurement are the two important factors influencing the stability of group estimates of connectivity parameters. However, most recent studies exploring effective connectivity (EC) have been conducted with small sample sizes and minimally pre-processed datasets. We explore the impact of these two factors by analyzing clean resting-state fMRI data from 330 unrelated subjects from the Human Connectome Project database. We demonstrate that both the stability of the model selection procedures and the inference of connectivity parameters are highly dependent on the sample size. The minimum sample size required for stable DCM is approximately 50, which may explain the variability of the DCM results reported so far. We reveal a stable pattern of EC within the core default mode network computed for large sample sizes and demonstrate that the use of subject-specific thresholded whole-brain masks for tissue-specific signals regression enhances the detection of weak connections.
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Affiliation(s)
- Alexander N. Silchenko
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM‐7)Research Center JülichJülichGermany
| | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM‐7)Research Center JülichJülichGermany
- Institute of Systems Neuroscience, Medical FacultyHeinrich Heine University DüsseldorfDüsseldorfGermany
| | - Simon B. Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM‐7)Research Center JülichJülichGermany
- Institute of Systems Neuroscience, Medical FacultyHeinrich Heine University DüsseldorfDüsseldorfGermany
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19
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Deng K, Jin W, Jiang K, Li Z, Im H, Chen S, Du H, Guan S, Ge W, Wei C, Zhang B, Wang P, Zhao G, Chen C, Liu L, Wang Q. Reactivity of the ventromedial prefrontal cortex, but not the amygdala, to negative emotion faces predicts greed personality trait. BEHAVIORAL AND BRAIN FUNCTIONS : BBF 2023; 19:21. [PMID: 38041182 PMCID: PMC10690991 DOI: 10.1186/s12993-023-00223-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/27/2023] [Indexed: 12/03/2023]
Abstract
This study explored whether amygdala reactivity predicted the greed personality trait (GPT) using both task-based and resting-state functional connectivity analyses (ntotal = 452). In Cohort 1 (n = 83), task-based functional magnetic resonance imaging (t-fMRI) results from a region-of-interest (ROI) analysis revealed no direct correlation between amygdala reactivity to fearful and angry faces and GPT. Instead, whole-brain analyses revealed GPT to robustly negatively vary with activations in the right ventromedial prefrontal cortex (vmPFC), supramarginal gyrus, and angular gyrus in the contrast of fearful + angry faces > shapes. Moreover, task-based psychophysiological interaction (PPI) analyses showed that the high GPT group showed weaker functional connectivity of the vmPFC seed with a top-down control network and visual pathways when processing fearful or angry faces compared to their lower GPT counterparts. In Cohort 2, resting-state functional connectivity (rs-FC) analyses indicated stronger connectivity between the vmPFC seed and the top-down control network and visual pathways in individuals with higher GPT. Comparing the two cohorts, bilateral amygdala seeds showed weaker associations with the top-down control network in the high group via PPI analyses in Cohort 1. Yet, they exhibited distinct rs-FC patterns in Cohort 2 (e.g., positive associations of GPT with the left amygdala-top-down network FC but negative associations with the right amygdala-visual pathway FC). The study underscores the role of the vmPFC and its functional connectivity in understanding GPT, rather than amygdala reactivity.
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Affiliation(s)
- Kun Deng
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Weipeng Jin
- Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin, 300060, China
| | - Keying Jiang
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Zixi Li
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Hohjin Im
- Department of Psychological Science, University of California, Irvine, CA, 92697-7085, USA
| | - Shuning Chen
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Hanxiao Du
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Shunping Guan
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Wei Ge
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Chuqiao Wei
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Bin Zhang
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Pinchun Wang
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Guang Zhao
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China
- Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin, 300387, China
| | - Chunhui Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
| | - Liqing Liu
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China.
- Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin, 300387, China.
| | - Qiang Wang
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China.
- Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin, 300387, China.
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20
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Lee DA, Lee HJ, Park KM. Involvement of the default mode network in patients with transient global amnesia: multilayer network. Neuroradiology 2023; 65:1729-1736. [PMID: 37848740 DOI: 10.1007/s00234-023-03241-7] [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: 08/14/2023] [Accepted: 10/09/2023] [Indexed: 10/19/2023]
Abstract
INTRODUCTION We aimed to investigate the alterations in the multilayer network in patients with transient global amnesia (TGA). METHODS We enrolled 124 patients with TGA and 80 healthy controls. Both patients with TGA and healthy controls underwent a three-teslar brain magnetic resonance imaging (MRI). A gray matter layer matrix was created using a morphometric similarity network derived from the T1-weighted imaging, and a white matter layer matrix was constructed using structural connectivity based on the diffusion tensor imaging. A multilayer network analysis was performed by applying graph theoretical analysis. RESULTS There were no significant differences in global network measures between the groups. However, several regions, related to the default mode network, showed significant differences in nodal network measures between the groups. Multi-richness in the left pars opercularis, multi-rich-club degree in the right posterior cingulate gyrus, and weighted multiplex participation in the right posterior cingulate gyrus were higher in patients with TGA compared with healthy controls (15.47 vs. 12.26, p = 0.0005; 41.68 vs. 37.16, p = 0.0005; 0.90 vs. 0.80, p = 0.0005; respectively). The multiplex core-periphery in the left precuneus was higher (0.96 vs. 0.84, p = 0.0005), whereas that in the transverse temporal gyrus was lower in patients with TGA compared with healthy controls (0.00 vs. 0.02, p = 0.0005). CONCLUSION We newly find the alterations in the multilayer network in patients with TGA compared with healthy controls, which shows the involvement of the default mode network. These changes may be related to the pathophysiology of TGA.
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Affiliation(s)
- Dong Ah Lee
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-Ro 875, Haeundae-Gu, Busan, 48108, Republic of Korea
| | - Ho-Joon Lee
- Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Kang Min Park
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-Ro 875, Haeundae-Gu, Busan, 48108, Republic of Korea.
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21
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Yang Y, Yang H, Yu C, Ni F, Yu T, Luo R. Alterations in the topological organization of the default-mode network in Tourette syndrome. BMC Neurol 2023; 23:390. [PMID: 37899454 PMCID: PMC10614376 DOI: 10.1186/s12883-023-03421-1] [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: 07/04/2023] [Accepted: 10/05/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND The exact pathophysiology of TS is still elusive. Previous studies have identified default mode networks (DMN) abnormalities in patients with TS. However, these literatures investigated the neural activity during the tic suppression, not a true resting-state. Therefore, this study aimed to reveal the neural mechanism of Tourette's syndrome (TS) from the perspective of topological organization and functional connectivity within the DMN by electroencephalography (EEG) in resting-state. METHODS The study was conducted by analyzing the EEG data of TS patients with graph theory approaches. Thirty children with TS and thirty healthy controls (HCs) were recruited, and all subjects underwent resting-state EEG data acquisition. Functional connectivity within the DMN was calculated, and network properties were measured. RESULTS A significantly lower connectivity in the neural activity of the TS patients in the β band was found between the bilateral posterior cingulate cortex/retrosplenial cortex (t = -3.02, p < 0.05). Compared to HCs, the TS patients' local topological properties (degree centrality) in the left temporal lobe in the γ band were changed, while the global topological properties (global efficiency and local efficiency) in DMN exhibited no significant differences. It was also demonstrated that the degree centrality of the left temporal lobe in the γ band was positively related to the Yale Global Tic Severity Scale scores (r = 0.369, p = 0.045). CONCLUSIONS The functional connectivity and topological properties of the DMN of TS patients were disrupted, and abnormal DMN topological property alterations might affect the severity of tic in TS patients. The abnormal topological properties of the DMN in TS patients may be due to abnormal functional connectivity alterations. The findings provide novel insight into the neural mechanism of TS patients.
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Affiliation(s)
- Yue Yang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Hua Yang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Chunmei Yu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Fang Ni
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Tao Yu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Rong Luo
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, 610041, China.
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22
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Boot EM, Omes QPM, Maaijwee N, Schaapsmeerders P, Arntz RM, Rutten-Jacobs LCA, Kessels RPC, de Leeuw FE, Tuladhar AM. Functional brain connectivity in young adults with post-stroke epilepsy. Brain Commun 2023; 5:fcad277. [PMID: 37953839 PMCID: PMC10639092 DOI: 10.1093/braincomms/fcad277] [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: 08/02/2022] [Revised: 08/07/2023] [Accepted: 10/17/2023] [Indexed: 11/14/2023] Open
Abstract
Approximately 1 in 10 young stroke patients (18-50 years) will develop post-stroke epilepsy, which is associated with cognitive impairment. While previous studies have shown altered brain connectivity in patients with epilepsy, little is however known about the changes in functional brain connectivity in young stroke patients with post-stroke epilepsy and their relationship with cognitive impairment. Therefore, we aimed to investigate whether young ischaemic stroke patients have altered functional networks and whether this alteration is related to cognitive impairment. We included 164 participants with a first-ever cerebral infarction at young age (18-50 years), along with 77 age- and sex-matched controls, from the Follow-Up of Transient Ischemic Attack and Stroke patients and Unelucidated Risk Factor Evaluation study. All participants underwent neuropsychological testing and resting-state functional MRI to generate functional connectivity networks. At follow-up (10.5 years after the index event), 23 participants developed post-stroke epilepsy. Graph theoretical analysis revealed functional network reorganization in participants with post-stroke epilepsy, in whom a weaker (i.e. network strength), less-integrated (i.e. global efficiency) and less-segregated (i.e. clustering coefficient and local efficiency) functional network was observed compared with the participants without post-stroke epilepsy group and the controls (P < 0.05). Regional analysis showed a trend towards decreased clustering coefficient, local efficiency and nodal efficiency in contralesional brain regions, including the caudal anterior cingulate cortex, posterior cingulate cortex, precuneus, superior frontal gyrus and insula in participants with post-stroke epilepsy compared with those without post-stroke epilepsy. Furthermore, participants with post-stroke epilepsy more often had impairment in the processing speed domain than the group without post-stroke epilepsy, in whom the network properties of the precuneus were positively associated with processing speed performance. Our findings suggest that post-stroke epilepsy is associated with functional reorganization of the brain network after stroke that is characterized by a weaker, less-integrated and less-segregated brain network in young ischaemic stroke patients compared with patients without post-stroke epilepsy. The contralesional brain regions, which are mostly considered as hub regions, might be particularly involved in the altered functional network and may contribute to cognitive impairment in post-stroke epilepsy patients. Overall, our findings provide additional evidence for a potential role of disrupted functional network as underlying pathophysiological mechanism for cognitive impairment in patients with post-stroke epilepsy.
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Affiliation(s)
- Esther M Boot
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Centre, Nijmegen 6525GA, The Netherlands
| | - Quinty P M Omes
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Centre, Nijmegen 6525GA, The Netherlands
| | - Noortje Maaijwee
- Department of Neurology and Neurorehabilitation, Luzerner Kantonsspital Neurocentre, Luzern 16, Switzerland
| | | | - Renate M Arntz
- Department of Neurology, Medisch Spectrum Twente, Enschede 7500 KA, The Netherlands
| | | | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, Department of Psychology, Radboud University, Nijmegen 6525 GD, The Netherlands
- Department of Medical Psychology and Radboudumc Alzheimer Centre, Radboud University Medical Centre, Nijmegen 6525 GA, The Netherlands
- Vincent van Gogh Institute for Psychiatry, Venray 5803 AC, The Netherlands
| | - Frank-Erik de Leeuw
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Centre, Nijmegen 6525GA, The Netherlands
| | - Anil M Tuladhar
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Centre, Nijmegen 6525GA, The Netherlands
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23
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Meiering MS, Weigner D, Enge S, Grimm S. Transdiagnostic phenomena of psychopathology in the context of the RDoC: protocol of a multimodal cross-sectional study. BMC Psychol 2023; 11:297. [PMID: 37770998 PMCID: PMC10540421 DOI: 10.1186/s40359-023-01335-8] [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: 08/21/2023] [Accepted: 09/18/2023] [Indexed: 09/30/2023] Open
Abstract
In the past, affective and cognitive processes related to psychopathology have been examined within the boundaries of phenotype-based diagnostic labels, which has led to inconsistent findings regarding their underlying operating principles. Investigating these processes dimensionally in healthy individuals and by means of multiple modalities may provide additional insights into the psychological and neuronal mechanisms at their core. The transdiagnostic phenomena Neuroticism and Rumination are known to be closely linked. However, the exact nature of their relationship remains to be elucidated. The same applies to the associations between Hedonic Capacity, Negativity Bias and different Emotion Regulation strategies.This multimodal cross-sectional study examines the relationship of the transdiagnostic phenomena Neuroticism and Rumination as well as Hedonic Capacity, the Negativity Bias and Emotion Regulation from a RDoC (Research Domain Criteria) perspective. A total of 120 currently healthy subjects (past 12 months) will complete several questionnaires regarding personality, emotion regulation, hedonic capacity, and psychopathologies as well as functional magnetic resonance imaging (fMRI) during cognitive and emotional processing, to obtain data on the circuit, behavioral and self-report level.This study aims to contribute to the understanding of the relationship between cognitive and affective processes associated with psychopathologies as well as their neuronal correlates. Ultimately, a grounded understanding of these processes could guide improvement of diagnostic labels and treatments. Limitations include the cross-sectional design and the limited variability in psychopathology scores due to the restriction of the sample to currently healthy subjects.
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Affiliation(s)
- Marvin S Meiering
- Department of Natural Sciences, MSB Medical School Berlin, Rüdesheimer Straße 50, 14197, Berlin, Germany.
- Department of Education and Psychology, Freie Universität Berlin, Habelschwerdter Allee 45, 14195, Berlin, Germany.
| | - David Weigner
- Department of Natural Sciences, MSB Medical School Berlin, Rüdesheimer Straße 50, 14197, Berlin, Germany
- Department of Education and Psychology, Freie Universität Berlin, Habelschwerdter Allee 45, 14195, Berlin, Germany
| | - Sören Enge
- Department of Natural Sciences, MSB Medical School Berlin, Rüdesheimer Straße 50, 14197, Berlin, Germany
| | - Simone Grimm
- Department of Natural Sciences, MSB Medical School Berlin, Rüdesheimer Straße 50, 14197, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, CH-8032, Zurich, Switzerland
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24
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Stolz C, Bulla A, Soch J, Schott BH, Richter A. Openness to Experience is associated with neural and performance measures of memory in older adults. Soc Cogn Affect Neurosci 2023; 18:nsad041. [PMID: 37632761 PMCID: PMC10533339 DOI: 10.1093/scan/nsad041] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 06/20/2023] [Accepted: 08/25/2023] [Indexed: 08/28/2023] Open
Abstract
Age-related decline in episodic memory performance is a well-replicated finding across numerous studies. Recent studies focusing on aging and individual differences found that the Big Five personality trait Openness to Experience (hereafter: Openness) is associated with better episodic memory performance in older adults, but the associated neural mechanisms are largely unclear. Here, we investigated the relationship between Openness and memory network function in a sample of 352 participants (143 older adults, 50-80 years; 209 young adults, 18-35 years). Participants underwent functional magnetic resonance imaging (fMRI) during a visual memory encoding task. Functional memory brain-network integrity was assessed using the similarity of activations during memory encoding (SAME) scores, which reflect the similarity of a participant's memory network activity compared to prototypical fMRI activity patterns of young adults. Openness was assessed using the NEO Five-Factor Inventory. Older vs young adults showed lower memory performance and higher deviation of fMRI activity patterns (i.e. lower SAME scores). Specifically in older adults, high Openness was associated with better memory performance, and mediation analysis showed that this relationship was partially mediated by higher SAME scores. Our results suggest that trait Openness may constitute a protective factor in cognitive aging by better preservation of the brain's memory network.
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Affiliation(s)
- Christopher Stolz
- Department of Behavioral Neurology, Leibniz Institute for Neurobiology (LIN), Magdeburg 39118, Germany
- Department of Neuropsychology, Institute of Psychology, Otto-von-Guericke University Magdeburg, Magdeburg 39106, Germany
| | - Ariane Bulla
- Department of Behavioral Neurology, Leibniz Institute for Neurobiology (LIN), Magdeburg 39118, Germany
| | - Joram Soch
- German Center for Neurodegenerative Diseases (DZNE), Göttingen 37075, Germany
- Bernstein Center for Computational Neuroscience (BCCN), Berlin 10115, Germany
| | - Björn H Schott
- Department of Behavioral Neurology, Leibniz Institute for Neurobiology (LIN), Magdeburg 39118, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen 37075, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen 37075, Germany
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Anni Richter
- Department of Behavioral Neurology, Leibniz Institute for Neurobiology (LIN), Magdeburg 39118, Germany
- German Center for Mental Health (DZPG), Germany
- Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Germany
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25
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Torabian S, Grossman ED. When shapes are more than shapes: perceptual, developmental, and neurophysiological basis for attributions of animacy and theory of mind. Front Psychol 2023; 14:1168739. [PMID: 37744598 PMCID: PMC10513434 DOI: 10.3389/fpsyg.2023.1168739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 07/25/2023] [Indexed: 09/26/2023] Open
Abstract
Among a variety of entities in their environment, what do humans consider alive or animate and how does this attribution of animacy promote development of more abstract levels of mentalizing? By decontextualizing the environment of bodily features, we review how physical movements give rise to perceived animacy in Heider-Simmel style animations. We discuss the developmental course of how perceived animacy shapes our interpretation of the social world, and specifically discuss when and how children transition from perceiving actions as goal-directed to attributing behaviors to unobservable mental states. This transition from a teleological stance, asserting a goal-oriented interpretation to an agent's actions, to a mentalistic stance allows older children to reason about more complex actions guided by hidden beliefs. The acquisition of these more complex cognitive behaviors happens developmentally at the same time neural systems for social cognition are coming online in young children. We review perceptual, developmental, and neural evidence to identify the joint cognitive and neural changes associated with when children begin to mentalize and how this ability is instantiated in the brain.
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Affiliation(s)
- Sajjad Torabian
- Visual Perception and Neuroimaging Lab, Department of Cognitive Sciences, University of California, Irvine, Irvine, CA, United States
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26
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Orlichenko A, Su KJ, Tian Q, Shen H, Deng HW, Wang YP. Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.15.23294133. [PMID: 37645791 PMCID: PMC10462217 DOI: 10.1101/2023.08.15.23294133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Purpose Functional magnetic resonance imaging (fMRI) and functional connectivity (FC) have been used to follow aging in both children and older adults. Robust changes have been observed in children, where high connectivity among all brain regions changes to a more modular structure with maturation. In this work, we examine changes in FC in older adults after two years of aging in the UK Biobank longitudinal cohort. Approach We process data using the Power264 atlas, then test whether FC changes in the 2,722-subject longitudinal cohort are statistically significant using a Bonferroni-corrected t-test. We also compare the ability of Power264 and UKB-provided, ICA-based FC to determine which of a longitudinal scan pair is older. Results We find a 6.8% average increase in SMT-VIS connectivity from younger to older scan (from ρ = 0.39 to ρ = 0.42 ) that occurs in male, female, older subject (> 65 years old), and younger subject (< 55 years old) groups. Among all inter-network connections, this average SMT-VIS connectivity is the best predictor of relative scan age, accurately predicting which scan is older 57% of the time. Using the full FC and a training set of 2,000 subjects, one is able to predict which scan is older 82.5% of the time using either the full Power264 FC or the UKB-provided ICA-based FC. Conclusions We conclude that SMT-VIS connectivity increases in the longitudinal cohort, while resting state FC increases generally with age in the cross-sectional cohort. However, we consider the possibility of a change in resting state scanner task between UKB longitudinal data acquisitions.
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Affiliation(s)
- Anton Orlichenko
- Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118
| | - Kuan-Jui Su
- Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA 70118
| | - Qing Tian
- Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA 70118
| | - Hui Shen
- Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA 70118
| | - Hong-Wen Deng
- Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA 70118
| | - Yu-Ping Wang
- Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118
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27
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Gagliardi G, Rodriguez-Vieitez E, Montal V, Sepulcre J, Diez I, Lois C, Hanseeuw B, Schultz AP, Properzi MJ, Papp KV, Marshall GA, Fortea J, Johnson KA, Sperling RA, Vannini P. Cortical microstructural changes predict tau accumulation and episodic memory decline in older adults harboring amyloid. COMMUNICATIONS MEDICINE 2023; 3:106. [PMID: 37528163 PMCID: PMC10394044 DOI: 10.1038/s43856-023-00324-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/19/2023] [Indexed: 08/03/2023] Open
Abstract
INTRODUCTION Non-invasive diffusion-weighted imaging (DWI) to assess brain microstructural changes via cortical mean diffusivity (cMD) has been shown to be cross-sectionally associated with tau in cognitively normal older adults, suggesting that it might be an early marker of neuronal injury. Here, we investigated how regional cortical microstructural changes measured by cMD are related to the longitudinal accumulation of regional tau as well as to episodic memory decline in cognitively normal individuals harboring amyloid pathology. METHODS 122 cognitively normal participants from the Harvard Aging Brain Study underwent DWI, T1w-MRI, amyloid and tau PET imaging, and Logical Memory Delayed Recall (LMDR) assessments. We assessed whether the interaction of baseline amyloid status and cMD (in entorhinal and inferior-temporal cortices) was associated with longitudinal regional tau accumulation and with longitudinal LMDR using separate linear mixed-effects models. RESULTS We find a significant interaction effect of the amyloid status and baseline cMD in predicting longitudinal tau in the entorhinal cortex (p = 0.044) but not the inferior temporal lobe, such that greater baseline cMD values predicts the accumulation of entorhinal tau in amyloid-positive participants. Moreover, we find a significant interaction effect of the amyloid status and baseline cMD in the entorhinal cortex (but not inferior temporal cMD) in predicting longitudinal LMDR (p < 0.001), such that baseline entorhinal cMD predicts the episodic memory decline in amyloid-positive participants. CONCLUSIONS The combination of amyloidosis and elevated cMD in the entorhinal cortex may help identify individuals at short-term risk of tau accumulation and Alzheimer's Disease-related episodic memory decline, suggesting utility in clinical trials.
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Affiliation(s)
- Geoffroy Gagliardi
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, 02129, USA
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Elena Rodriguez-Vieitez
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, 02129, USA
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Stockholm, 14152, Sweden
| | - Victor Montal
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, 08041, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, 28031, Spain
| | - Jorge Sepulcre
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Gordon Center for Medical Imaging, Boston, MA, 02114, USA
| | - Ibai Diez
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Gordon Center for Medical Imaging, Boston, MA, 02114, USA
| | - Cristina Lois
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Gordon Center for Medical Imaging, Boston, MA, 02114, USA
| | - Bernard Hanseeuw
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Gordon Center for Medical Imaging, Boston, MA, 02114, USA
- Saint Luc University Hospital, Université Catholique de Louvain, Brussels, 1200, Belgium
| | - Aaron P Schultz
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, 02129, USA
| | - Michael J Properzi
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Kathryn V Papp
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, 02129, USA
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Gad A Marshall
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, 08041, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, 28031, Spain
| | - Keith A Johnson
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Gordon Center for Medical Imaging, Boston, MA, 02114, USA
| | - Reisa A Sperling
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, 02129, USA
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Patrizia Vannini
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, 02129, USA.
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
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28
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Cohen JE, Holsen LM, Ironside M, Moser AD, Duda JM, Null KE, Perlo S, Richards CE, Nascimento NF, Du F, Zuo C, Misra M, Pizzagalli DA, Goldstein JM. Neural response to stress differs by sex in young adulthood. Psychiatry Res Neuroimaging 2023; 332:111646. [PMID: 37146439 PMCID: PMC10247431 DOI: 10.1016/j.pscychresns.2023.111646] [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: 12/22/2022] [Revised: 03/26/2023] [Accepted: 04/17/2023] [Indexed: 05/07/2023]
Abstract
Increase in stress-related disorders in women begins post-puberty and persists throughout the lifespan. To characterize sex differences in stress response in early adulthood, we used functional magnetic resonance imaging while participants underwent a stress task in conjunction with serum cortisol levels and questionnaires assessing anxiety and mood. Forty-two healthy subjects aged 18-25 years participated (21M, 21F). Interaction of stress and sex in brain activation and connectivity were examined. Results demonstrated significant sex differences in brain activity with women exhibiting increased activation in regions that inhibit arousal compared to men during the stress paradigm. Women had increased connectivity among stress circuitry regions and default mode network, whereas men had increased connectivity between stress and cognitive control regions. In a subset of subjects (13F, 17M), we obtained gamma-aminobutyric acid (GABA) magnetic resonance spectroscopy in rostral anterior cingulate cortex (rostral ACC) and dorsolateral prefrotal cortex (dlPFC) and conducted exploratory analyses to relate GABA measurements with sex differences in brain activation and connectivity. Prefrontal GABA levels were negatively associated with inferior temporal gyrus activation in men and women and with ventromedial prefrontal cortex activation in men. Despite sex differences in neural response, we found similar subjective ratings of anxiety and mood, cortisol levels, and GABA levels between sexes, suggesting sex differences in brain activity result in similar behavioral responses among the sexes. These results help establish sex differences in healthy brain activity from which we can better understand sex differences underlying stress-associated illnesses.
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Affiliation(s)
- Justine E Cohen
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, Boston, USA
| | - Laura M Holsen
- Divison of Women's Health, Department of Medicine, Brigham & Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Brigham & Women's Hospital, Boston, MA, USA
| | - Maria Ironside
- Harvard Medical School, Boston, MA, USA; Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Amelia D Moser
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Jessica M Duda
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Kaylee E Null
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Sarah Perlo
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Christine E Richards
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Nara F Nascimento
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Fei Du
- Harvard Medical School, Boston, MA, USA; McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Chun Zuo
- Harvard Medical School, Boston, MA, USA; McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Madhusmita Misra
- Harvard Medical School, Boston, MA, USA; Division of Pediatric Endocrinology, Massachusetts General Hospital, Boston, MA, USA
| | - Diego A Pizzagalli
- Harvard Medical School, Boston, MA, USA; Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA; McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Jill M Goldstein
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, Boston, USA; Divison of Women's Health, Department of Medicine, Brigham & Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
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Tang ZC, Liu JJ, Ding XT, Liu D, Qiao HW, Huang XJ, Zhang H, Tian J, Li HJ. The default mode network is affected in the early stage of simian immunodeficiency virus infection: a longitudinal study. Neural Regen Res 2023; 18:1542-1547. [PMID: 36571360 PMCID: PMC10075116 DOI: 10.4103/1673-5374.360244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Acquired immune deficiency syndrome infection can lead to cognitive dysfunction represented by changes in the default mode network. Most recent studies have been cross-sectional and thus have not revealed dynamic changes in the default mode network following acquired immune deficiency syndrome infection and antiretroviral therapy. Specifically, when brain imaging data at only one time point are analyzed, determining the duration at which the default mode network is the most effective following antiretroviral therapy after the occurrence of acquired immune deficiency syndrome. However, because infection times and other factors are often uncertain, longitudinal studies cannot be conducted directly in the clinic. Therefore, in this study, we performed a longitudinal study on the dynamic changes in the default mode network over time in a rhesus monkey model of simian immunodeficiency virus infection. We found marked changes in default mode network connectivity in 11 pairs of regions of interest at baseline and 10 days and 4 weeks after virus inoculation. Significant interactions between treatment and time were observed in the default mode network connectivity of regions of interest pairs area 31/V6.R and area 8/frontal eye field (FEF). L, area 8/FEF.L and caudal temporal parietal occipital area (TPOC).R, and area 31/V6.R and TPOC.L. ART administered 4 weeks after infection not only interrupted the progress of simian immunodeficiency virus infection but also preserved brain function to a large extent. These findings suggest that the default mode network is affected in the early stage of simian immunodeficiency virus infection and that it may serve as a potential biomarker for early changes in brain function and an objective indicator for making early clinical intervention decisions.
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Affiliation(s)
- Zhen-Chao Tang
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China; Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jiao-Jiao Liu
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xue-Tong Ding
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China; Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Dan Liu
- Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong-Wei Qiao
- Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiao-Jie Huang
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Hui Zhang
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China; Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jie Tian
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China; Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Hong-Jun Li
- Beijing Youan Hospital, Capital Medical University, Beijing, China
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Ruan X, Huang X, Li Y, Kuang Z, Li M, Wei X. Dysfunction of human brain network hierarchy in Parkinson's disease patients with freezing of gait. Parkinsonism Relat Disord 2023; 112:105446. [PMID: 37245278 DOI: 10.1016/j.parkreldis.2023.105446] [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: 03/10/2023] [Revised: 05/10/2023] [Accepted: 05/18/2023] [Indexed: 05/30/2023]
Abstract
INTRODUCTION Hierarchy has been identified as a principle underlying the organization of human brain networks. In Parkinson's disease with freezing of gait (PD-FOG), it remains unclear whether and how the network hierarchy is disrupted. Additionally, the associations between changes in the brain network hierarchy of PD patients with FOG and clinical scales remain unclear. The aim of this study was to explore alterations in the network hierarchy of PD-FOG and their clinical relevance. METHODS In this study, the brain network hierarchy of each group was described through a connectome gradient analysis among 31 PD-FOG, 50 PD patients without FOG (PD-NFOG), and 38 healthy controls (HC). Changes in the network hierarchy were assessed by comparing different gradient values of each network between the PD-FOG, PD-NFOG and HC groups. We further examined the relationship between dynamically changing network gradient values and clinical scales. RESULTS For the second gradient, Salience/ventral attention network-A (SalVentAttnA) network gradient of PD-FOG group was significantly lower than that of PD-NFOG, while both PD subgroups had a Default mode network-C gradient that was significantly lower than that of the HC group. In the third gradient, somatomotor network-A gradient of PD-FOG patients was significantly lower than the PD-NFOG group. Moreover, reduced SalVentAttnA network gradient values were associated with more severe gaits, fall risk, and frozen gait in PD-FOG patients. CONCLUSIONS The brain network hierarchy in PD-FOG is disturbed, this dysfunction is related to the severity of frozen gait. This study provides novel evidence for the neural mechanisms of FOG.
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Affiliation(s)
- Xiuhang Ruan
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Xiaofei Huang
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Yuting Li
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Zhanyu Kuang
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Mengyan Li
- Department of Neurology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China.
| | - Xinhua Wei
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China.
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Koshino H, Osaka M, Shimokawa T, Kaneda M, Taniguchi S, Minamoto T, Yaoi K, Azuma M, Higo K, Osaka N. Cooperation and competition between the default mode network and frontal parietal network in the elderly. Front Psychol 2023; 14:1140399. [PMID: 37275713 PMCID: PMC10237017 DOI: 10.3389/fpsyg.2023.1140399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 04/26/2023] [Indexed: 06/07/2023] Open
Abstract
Recent research has shown that the Default Mode Network (DMN) typically exhibits increased activation during processing of social and personal information but shows deactivation during working memory (WM) tasks. Previously, we reported the Frontal Parietal Network (FPN) and DMN showed coactivation during task preparation whereas the DMN exhibited deactivation during task execution in working memory tasks. Aging research has shown that older adults exhibited decreased functional connectivity in the DMN relative to younger adults. Here, we investigated whether age-related cognitive decline is related to a reduced relationship between the FPN and DMN using a working memory task during the execution period. First, we replicated our previous finding that the FPN and DMN showed coactivation during the preparation period, whereas the DMN showed deactivation during the execution period. The older adults showed reduced DMN activity during task preparation and reduced deactivation during task execution; however, they exhibited a higher magnitude of activation in the FPN than the young individuals during task execution. Functional connectivity analyses showed that the elderly group, compared to the young group, showed weaker correlations within the FPN and the DMN, weaker positive correlations between the FPN and DMN during task preparation, and weaker negative correlations between the FPN and DMN during execution. The results suggest that cognitive decline in the older adults might be related to reduced connectivity within the DMN as well as between the FPN and DMN.
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Affiliation(s)
- Hideya Koshino
- Department of Psychology, California State University, San Bernardino, CA, United States
| | - Mariko Osaka
- Graduate School of Human Sciences, Osaka University, Suita, Osaka, Japan
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Tetsuya Shimokawa
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Mizuki Kaneda
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Seira Taniguchi
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Takehiro Minamoto
- Graduate School of Human Sciences, Osaka University, Suita, Osaka, Japan
| | - Ken Yaoi
- Department of Psychology, Graduate School of Letters, Kyoto University, Kyoto, Japan
| | - Miyuki Azuma
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Katsuki Higo
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Naoyuki Osaka
- Department of Psychology, Graduate School of Letters, Kyoto University, Kyoto, Japan
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Faran Y. A comment on the connection between BA10 and episodic memory. Front Behav Neurosci 2023; 17:1105168. [PMID: 37214641 PMCID: PMC10196158 DOI: 10.3389/fnbeh.2023.1105168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 04/07/2023] [Indexed: 05/24/2023] Open
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Son JJ, Arif Y, Schantell M, Willett MP, Johnson HJ, Okelberry HJ, Embury CM, Wilson TW. Oscillatory dynamics serving visual selective attention during a Simon task. Brain Commun 2023; 5:fcad131. [PMID: 37151223 PMCID: PMC10162684 DOI: 10.1093/braincomms/fcad131] [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: 09/22/2022] [Revised: 02/08/2023] [Accepted: 04/19/2023] [Indexed: 05/09/2023] Open
Abstract
Selective attention is an important component of cognitive control and is essential for day-to-day functioning. The Simon task is a common test of visual selective attention that has been widely used to probe response selection, inhibition and cognitive control. However, to date, there is a dearth of literature that has focused on the oscillatory dynamics serving task performance in the selective attention component of this task. In this study, 32 healthy adults (mean age: 33.09 years, SD: 7.27 years) successfully completed a modified version of the Simon task during magnetoencephalography. All magnetoencephalographic data were pre-processed and transformed into the time-frequency domain. Significant oscillatory brain responses were imaged using a beamforming approach, and peak task-related neural activity was extracted to examine the temporal dynamics. Across both congruent and Simon conditions, our results indicated robust decreases in alpha (8-12 Hz) activity in the bilateral occipital regions and cuneus during task performance, while increases in theta (3-6 Hz) oscillatory activity were detected in regions of the dorsal frontoparietal attention network, including the dorsolateral prefrontal cortex, frontal eye fields and insula. Lastly, whole-brain condition-wise analyses showed Simon interference effects in the theta range in the superior parietal region and the alpha range in the posterior cingulate and inferior frontal cortices. These findings provide network-specific insights into the oscillatory dynamics serving visual selective attention.
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Affiliation(s)
- Jake J Son
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, USA
- Interdisciplinary Graduate Program in Biomedical Sciences (IGPBS), College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE 68198, USA
| | - Yasra Arif
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, USA
| | - Mikki Schantell
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, USA
- Interdisciplinary Graduate Program in Biomedical Sciences (IGPBS), College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE 68198, USA
| | - Madelyn P Willett
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, USA
| | - Hallie J Johnson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, USA
| | - Hannah J Okelberry
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, USA
| | - Christine M Embury
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, USA
- Interdisciplinary Graduate Program in Biomedical Sciences (IGPBS), College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE 68198, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE 68178, USA
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Fenske SJ, Liu J, Chen H, Diniz MA, Stephens RL, Cornea E, Gilmore JH, Gao W. Sex differences in resting state functional connectivity across the first two years of life. Dev Cogn Neurosci 2023; 60:101235. [PMID: 36966646 PMCID: PMC10066534 DOI: 10.1016/j.dcn.2023.101235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 02/17/2023] [Accepted: 03/19/2023] [Indexed: 03/29/2023] Open
Abstract
Sex differences in behavior have been reported from infancy through adulthood, but little is known about sex effects on functional circuitry in early infancy. Moreover, the relationship between early sex effects on the functional architecture of the brain and later behavioral performance remains to be elucidated. In this study, we used resting-state fMRI and a novel heatmap analysis to examine sex differences in functional connectivity with cross-sectional and longitudinal mixed models in a large cohort of infants (n = 319 neonates, 1-, and 2-year-olds). An adult dataset (n = 92) was also included for comparison. We investigated the relationship between sex differences in functional circuitry and later measures of language (collected in 1- and 2-year-olds) as well as indices of anxiety, executive function, and intelligence (collected in 4-year-olds). Brain areas showing the most significant sex differences were age-specific across infancy, with two temporal regions demonstrating consistent differences. Measures of functional connectivity showing sex differences in infancy were significantly associated with subsequent behavioral scores of language, executive function, and intelligence. Our findings provide insights into the effects of sex on dynamic neurodevelopmental trajectories during infancy and lay an important foundation for understanding the mechanisms underlying sex differences in health and disease.
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Son JJ, Schantell M, Picci G, Wang YP, Stephen JM, Calhoun VD, Doucet GE, Taylor BK, Wilson TW. Altered longitudinal trajectory of default mode network connectivity in healthy youth with subclinical depressive and posttraumatic stress symptoms. Dev Cogn Neurosci 2023; 60:101216. [PMID: 36857850 PMCID: PMC9986502 DOI: 10.1016/j.dcn.2023.101216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/08/2023] [Accepted: 02/14/2023] [Indexed: 02/19/2023] Open
Abstract
The default mode network (DMN) plays a crucial role in internal self-processing, rumination, and social functions. Disruptions to DMN connectivity have been linked with early adversity and the emergence of psychopathology in adolescence and early adulthood. Herein, we investigate how subclinical psychiatric symptoms can impact DMN functional connectivity during the pubertal transition. Resting-state fMRI data were collected annually from 190 typically-developing youth (9-15 years-old) at three timepoints and within-network DMN connectivity was computed. We used latent growth curve modeling to determine how self-reported depressive and posttraumatic stress symptoms predicted rates of change in DMN connectivity over the three-year period. In the baseline model without predictors, we found no systematic changes in DMN connectivity over time. However, significant modulation emerged after adding psychopathology predictors; greater depressive symptomatology was associated with significant decreases in connectivity over time, whereas posttraumatic stress symptoms were associated with significant increases in connectivity over time. Follow-up analyses revealed that these effects were driven by connectivity changes involving the dorsal medial prefrontal cortex subnetwork. In conclusion, these data suggest that subclinical depressive and posttraumatic symptoms alter the trajectory of DMN connectivity, which may indicate that this network is a nexus of clinical significance in mental health disorders.
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Affiliation(s)
- Jake J Son
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA; College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Mikki Schantell
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA; College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Giorgia Picci
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Yu-Ping Wang
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA
| | | | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of technology, and Emory University, Atlanta, GA, USA
| | - Gaelle E Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
| | - Brittany K Taylor
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA; College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA; Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA.
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Bavato F, Esposito F, Dornbierer DA, Zölch N, Quednow BB, Staempfli P, Landolt HP, Seifritz E, Bosch OG. Subacute changes in brain functional network connectivity after nocturnal sodium oxybate intake are associated with anterior cingulate GABA. Cereb Cortex 2023:7086058. [DOI: 10.1093/cercor/bhad097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 03/29/2023] Open
Abstract
AbstractSodium oxybate (γ-hydroxybutyrate, GHB) is an endogenous GHB/GABAB receptor agonist, clinically used to promote slow-wave sleep and reduce next-day sleepiness in disorders such as narcolepsy and fibromyalgia. The neurobiological signature of these unique therapeutic effects remains elusive. Promising current neuropsychopharmacological approaches to understand the neural underpinnings of specific drug effects address cerebral resting-state functional connectivity (rsFC) patterns and neurometabolic alterations. Hence, we performed a placebo-controlled, double-blind, randomized, cross-over pharmacological magnetic resonance imaging study with a nocturnal administration of GHB, combined with magnetic resonance spectroscopy of GABA and glutamate in the anterior cingulate cortex (ACC). In sum, 16 healthy male volunteers received 50 mg/kg GHB p.o. or placebo at 02:30 a.m. to maximize deep sleep enhancement and multi-modal brain imaging was performed at 09:00 a.m. of the following morning. Independent component analysis of whole-brain rsFC revealed a significant increase of rsFC between the salience network (SN) and the right central executive network (rCEN) after GHB intake compared with placebo. This SN-rCEN coupling was significantly associated with changes in GABA levels in the ACC (pall < 0.05). The observed neural pattern is compatible with a functional switch to a more extrinsic brain state, which may serve as a neurobiological signature of the wake-promoting effects of GHB.
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Sharma B, Nowikow C, DeMatteo C, Noseworthy MD, Timmons BW. Sex-specific differences in resting-state functional brain activity in pediatric concussion. Sci Rep 2023; 13:3284. [PMID: 36841854 PMCID: PMC9968337 DOI: 10.1038/s41598-023-30195-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 02/17/2023] [Indexed: 02/27/2023] Open
Abstract
Pediatric concussion has a rising incidence and can lead to long-term symptoms in nearly 30% of children. Resting state functional magnetic resonance imaging (rs-fMRI) disturbances are a common pathological feature of pediatric concussion, though no studies have explicitly examined sex-differences with respect to this outcome, precluding a sex-specific understanding of the functional neuropathology of pediatric concussion. Therefore, we performed a secondary data analysis of rs-fMRI data collected on children with concussion (n = 29) recruited from in a pediatric hospital setting, with greater than 12:1 matched control data accessed from the open-source ABIDE-II database. Seed-based and region of interest (ROI) analyses were used to examine sex-based rs-fMRI differences; threshold-free cluster enhancement (TFCE) and a family-wise error (FWE) corrected p-values were used to identify significantly different clusters. In comparing females with concussion to healthy females, groupwise differences were observed irrespective of seed selected. Notably, we observed (in order of largest effect) hypo-connectivity between the anterior cingulate cortex of the salience network and the thalamus and precuneus (TFCE = 1473.5, p-FWE < 0.001) and the cingulate gyrus (TFCE = 769.3, p-FWE = 0.009), and the seed (posterior cingulate cortex (PCC)) of the default mode network and the paracingulate gyrus (TFCE = 1275.7, p-FWE < 0.001), occipital pole right (TFCE = 1045.0, p-FWE = 0.001), and sub-callosal cortex (TFCE = 844.9, p-FWE = 0.005). Hyper-connectivity was observed between the salience network seed and the cerebellum (TFCE = 1719.3, p-FWE < 0.001) and the PCC and the thalamus (TFCE = 1198.3, p-FWE < 0.001), cuneal cortex (1070.9, p-FWE = 0.001), and lateral occipital cortex left (TFCE = 832.8, p-FWE = 0.006). ROI analyses showed 10 and 5 significant clusters of hypo- and hyper-connectivity in females, respectively. Only one cluster of difference was found between males with concussion and healthy males on seed-based analyses, and 3 clusters on ROI analyses. There are alterations in rs-fMRI in females with concussion at one-month post-injury that are minimally present in males, which provides further evidence that recovery timelines in pediatric concussion may differ by sex.
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Affiliation(s)
- Bhanu Sharma
- grid.25073.330000 0004 1936 8227Child Health and Exercise Medicine Program, Department of Pediatrics, McMaster University, 1280 Main Street West, Hamilton, ON L8S4L8 Canada ,grid.416721.70000 0001 0742 7355Imaging Research Centre, St. Joseph’s Healthcare, Hamilton, ON Canada ,grid.25073.330000 0004 1936 8227Department of Electrical & Computer Engineering, McMaster University, Hamilton, Canada
| | - Cameron Nowikow
- grid.416721.70000 0001 0742 7355Imaging Research Centre, St. Joseph’s Healthcare, Hamilton, ON Canada ,grid.25073.330000 0004 1936 8227McMaster School of Biomedical Engineering, McMaster University, Hamilton, Canada
| | - Carol DeMatteo
- grid.25073.330000 0004 1936 8227School of Rehabilitation Science, McMaster University, Hamilton, Canada ,grid.25073.330000 0004 1936 8227CanChild Centre for Childhood Disability Research, McMaster University, Hamilton, Canada
| | - Michael D. Noseworthy
- grid.416721.70000 0001 0742 7355Imaging Research Centre, St. Joseph’s Healthcare, Hamilton, ON Canada ,grid.25073.330000 0004 1936 8227Department of Electrical & Computer Engineering, McMaster University, Hamilton, Canada ,grid.25073.330000 0004 1936 8227McMaster School of Biomedical Engineering, McMaster University, Hamilton, Canada ,grid.25073.330000 0004 1936 8227Department of Radiology, McMaster University, Hamilton, Canada
| | - Brian W. Timmons
- grid.25073.330000 0004 1936 8227Child Health and Exercise Medicine Program, Department of Pediatrics, McMaster University, 1280 Main Street West, Hamilton, ON L8S4L8 Canada ,grid.25073.330000 0004 1936 8227CanChild Centre for Childhood Disability Research, McMaster University, Hamilton, Canada
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Zangen A, Zibman S, Tendler A, Barnea-Ygael N, Alyagon U, Blumberger DM, Grammer G, Shalev H, Gulevski T, Vapnik T, Bystritsky A, Filipčić I, Feifel D, Stein A, Deutsch F, Roth Y, George MS. Pursuing personalized medicine for depression by targeting the lateral or medial prefrontal cortex with Deep TMS. JCI Insight 2023; 8:165271. [PMID: 36692954 PMCID: PMC9977507 DOI: 10.1172/jci.insight.165271] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 01/05/2023] [Indexed: 01/25/2023] Open
Abstract
BACKGROUNDMajor depressive disorder (MDD) can benefit from novel interventions and personalization. Deep transcranial magnetic stimulation (Deep TMS) targeting the lateral prefrontal cortex (LPFC) using the H1 coil was FDA cleared for treatment of MDD. However, recent preliminary data indicate that targeting the medial prefrontal cortex (MPFC) using the H7 coil might induce outcomes that are as good or even better. Here, we explored whether Deep TMS targeting the MPFC is noninferior to targeting the LPFC and whether electrophysiological or clinical markers for patient selection can be identified.METHODSThe present prospective, multicenter, randomized study enrolled 169 patients with MDD for whom antidepressants failed in the current episode. Patients were randomized to receive 24 Deep TMS sessions over 6 weeks, using either the H1 coil or the H7 coil. The primary efficacy endpoint was the change from baseline to week 6 in Hamilton Depression Rating Scale scores.RESULTSClinical efficacy and safety profiles were similar and not significantly different between groups, with response rates of 60.9% for the H1 coil and 64.2% for the H7 coil. Moreover, brain activity measured by EEG during the first treatment session correlated with clinical outcomes in a coil-specific manner, and a cluster of baseline clinical symptoms was found to potentially distinguish between patients who can benefit from each Deep TMS target.CONCLUSIONThis study provides a treatment option for MDD, using the H7 coil, and initial guidance to differentiate between patients likely to respond to LPFC versus MPFC stimulation targets, which require further validation studies.TRIAL REGISTRATIONClinicalTrials.gov NCT03012724.FUNDINGBrainsWay Ltd.
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Affiliation(s)
| | - Samuel Zibman
- Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Aron Tendler
- Advanced Mental Health Care Inc., Royal Palm Beach, Florida, USA
| | | | - Uri Alyagon
- Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Daniel M Blumberger
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, and Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | | | - Hadar Shalev
- Ben-Gurion University of the Negev, Beer-Sheva, Israel.,Department of Psychiatry, Soroka Medical Center, Beer-Sheva, Israel
| | | | - Tanya Vapnik
- Pacific Institute of Medical Research, Los Angeles, California, USA
| | | | - Igor Filipčić
- Psychiatric Hospital Sveti Ivan and School of Medicine, University of Zagreb, Zagreb, Croatia
| | - David Feifel
- Kadima Neuropsychiatry Institute, La Jolla, California, USA
| | - Ahava Stein
- A. Stein - Regulatory Affairs Consulting Ltd, Kfar Saba, Israel
| | | | - Yiftach Roth
- Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Mark S George
- Medical University of South Carolina, Columbia, South Carolina, USA.,Ralph H. Johnson VA Medical Center, Charleston, South Carolina, USA
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Cammisuli DM, Castelnuovo G. Neuroscience-based psychotherapy: A position paper. Front Psychol 2023; 14:1101044. [PMID: 36860785 PMCID: PMC9968886 DOI: 10.3389/fpsyg.2023.1101044] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/11/2023] [Indexed: 02/15/2023] Open
Abstract
In the recent years, discoveries in neuroscience have greatly impacted upon the need to modify therapeutic practice starting from the evidence showing some cerebral mechanisms capable of coping with mental health crisis and traumatic events of the individual's life history by redesigning the narrative plot and the person's sense of the Self. The emerging dialogue between neuroscience and psychotherapy is increasingly intense and modern psychotherapy cannot ignore the heritage deriving from studies about neuropsychological modification of memory traces, neurobiology of attachment theory, cognitive mechanisms involved in psychopathology, neurophysiology of human empathy, neuroimaging evidence about psychotherapeutic treatment, and somatoform disorders connecting the brain and the body. In the present article, we critically examined sectorial literature and claimed that psychotherapy has to referred to a neuroscience-based approach in order to adopt the most tailored interventions for specific groups of patients or therapy settings. We also provided recommendations for care implementation in clinical practice and illustrated challenges of future research.
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Affiliation(s)
| | - Gianluca Castelnuovo
- Department of Psychology, Catholic University, Milan, Italy,Psychology Research Laboratory, Istituto Auxologico Italiano IRCCS, Milan, Italy,*Correspondence: Gianluca Castelnuovo ✉
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Hanly JG, Robertson JW, Legge A, Kamintsky L, Aristi G, Friedman A, Beyea SD, Fisk JD, Omisade A, Calkin C, Bardouille T, Bowen C, Matheson K, Hashmi JA. Resting state functional connectivity in SLE patients and association with cognitive impairment and blood-brain barrier permeability. Rheumatology (Oxford) 2023; 62:685-695. [PMID: 35699463 PMCID: PMC9891437 DOI: 10.1093/rheumatology/keac343] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 06/03/2022] [Accepted: 06/03/2022] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE Extensive blood-brain barrier (BBB) leakage has been linked to cognitive impairment in SLE. This study aimed to examine the associations of brain functional connectivity (FC) with cognitive impairment and BBB dysfunction among patients with SLE. METHODS Cognitive function was assessed by neuropsychological testing (n = 77). Resting-state FC (rsFC) between brain regions, measured by functional MRI (n = 78), assessed coordinated neural activation in 131 regions across five canonical brain networks. BBB permeability was measured by dynamic contrast-enhanced MRI (n = 61). Differences in rsFC were compared between SLE patients with cognitive impairment (SLE-CI) and those with normal cognition (SLE-NC), between SLE patients with and without extensive BBB leakage, and with healthy controls. RESULTS A whole-brain rsFC comparison found significant differences in intra-network and inter-network FC in SLE-CI vs SLE-NC patients. The affected connections showed a reduced negative rsFC in SLE-CI compared with SLE-NC and healthy controls. Similarly, a reduced number of brain-wide connections was found in SLE-CI patients compared with SLE-NC (P = 0.030) and healthy controls (P = 0.006). Specific brain regions had a lower total number of brain-wide connections in association with extensive BBB leakage (P = 0.011). Causal mediation analysis revealed that 64% of the association between BBB leakage and cognitive impairment in SLE patients was mediated by alterations in FC. CONCLUSION SLE patients with cognitive impairment had abnormalities in brain rsFC which accounted for most of the association between extensive BBB leakage and cognitive impairment.
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Affiliation(s)
- John G Hanly
- Division of Rheumatology, Department of Medicine and Department of Pathology, Queen Elizabeth II Health Sciences Center and Dalhousie University
| | - Jason W Robertson
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, Nova Scotia Health Authority
| | - Alexandra Legge
- Division of Rheumatology, Department of Medicine, Queen Elizabeth II Health Sciences Center and Dalhousie University
| | - Lyna Kamintsky
- Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Guillermo Aristi
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, Nova Scotia Health Authority
| | - Alon Friedman
- Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada.,Departments of Cognitive and Brain Sciences, Physiology and Cell Biology, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Steven D Beyea
- Biomedical Translational Imaging Centre (BIOTIC), QEII Health Sciences Centre, and Department of Diagnostic Radiology
| | - John D Fisk
- Nova Scotia Health Authority, Halifax, Canada and the Departments of Psychiatry, Psychology & Neuroscience and Medicine, Dalhousie University
| | - Antonina Omisade
- Acquired Brain Injury (Epilepsy Program), Nova Scotia Health Authority
| | - Cynthia Calkin
- Department of Psychiatry and Department of Medical Neuroscience
| | | | - Chris Bowen
- Biomedical Translational Imaging Centre (BIOTIC), QEII Health Sciences Centre, and Department of Diagnostic Radiology
| | - Kara Matheson
- Research Methods Unit, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada
| | - Javeria A Hashmi
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, Nova Scotia Health Authority
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Stalter J, Yogeswaran V, Vogel W, Sörös P, Mathys C, Witt K. The impact of aging on morphometric changes in the cerebellum: A voxel-based morphometry study. Front Aging Neurosci 2023; 15:1078448. [PMID: 36743442 PMCID: PMC9895411 DOI: 10.3389/fnagi.2023.1078448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 01/05/2023] [Indexed: 01/22/2023] Open
Abstract
Introduction Aging influences the morphology of the central nervous system. While several previous studies focused on morphometric changes of the supratentorial parts, investigations on age-related cerebellar changes are rare. The literature concerning the morphological changes in the cerebellum is heterogenous depending (i) on the methods used (cerebellar analysis in the context of a whole brain analysis or specific methods for a cerebellar analysis), (ii) the life span that was investigated, and (iii) the analytic approach (i.e., using linear or non-linear methods). Methods We fill this research gap by investigating age-dependent cerebellar changes in the aging process occurring before the age of 70 in healthy participants, using non-linear methods and the spatially unbiased infratentorial template (SUIT) toolbox which is specifically developed to examine the cerebellum. Furthermore, to derive an overview of the possible behavioral correlates, we relate our findings to functional maps of the cerebellum. Twenty-four older participants (mean age 64.42 years, SD ± 4.8) and 25 younger participants (mean age 24.6 years, SD ± 2.14) were scanned using a 3 T-MRI, and the resulting data were processed using a SUIT. Results Gray matter (GM) volume loss was found in older participants in three clusters in the right cerebellar region, namely crus I/II and lobule VI related to the frontoparietal network, with crus I being functionally related to the default-mode network and lobule VI extending into vermis VIIa related to the ventral-attention-network. Discussion Our results underline an age-related decline in GM volume in the right cerebellar regions that are functionally predominantly related to non-motor networks and cognitive tasks regions of the cerebellum before the age of 70.
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Affiliation(s)
- Johannes Stalter
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany,*Correspondence: Johannes Stalter,
| | - Vinuya Yogeswaran
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Wolfgang Vogel
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Peter Sörös
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany,Center of Neurosensory Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Christian Mathys
- Center of Neurosensory Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany,Institute of Radiology and Neuroradiology, Evangelical Hospital Oldenburg, Oldenburg, Germany
| | - Karsten Witt
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany,Center of Neurosensory Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
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Yang X, Zhou X, Xin F, Becker B, Linden D, Hernaus D. Age-dependent changes in the dynamic functional organization of the brain at rest: a cross-cultural replication approach. Cereb Cortex 2023; 33:6394-6406. [PMID: 36642496 PMCID: PMC10183740 DOI: 10.1093/cercor/bhac512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 12/02/2022] [Accepted: 12/03/2022] [Indexed: 01/17/2023] Open
Abstract
Age-associated changes in brain function play an important role in the development of neurodegenerative diseases. Although previous work has examined age-related changes in static functional connectivity, accumulating evidence suggests that advancing age is especially associated with alterations in the dynamic interactions and transitions between different brain states, which hitherto have received less attention. Conclusions of previous studies in this domain are moreover limited by suboptimal replicability of resting-state functional magnetic resonance imaging (fMRI) and culturally homogenous cohorts. Here, we investigate the robustness of age-associated changes in dynamic functional connectivity (dFC) by capitalizing on the availability of fMRI cohorts from two cultures (Western European and Chinese). In both the LEMON (Western European) and SALD (Chinese) cohorts, we consistently identify two distinct states: a more frequent segregated within-network connectivity state (state I) and a less frequent integrated between-network connectivity state (state II). Moreover, in both these cohorts, older (55-80 years) compared to younger participants (20-35 years) exhibited lower occurrence of and spent less time in state I. Older participants also tended to exhibit more transitions between networks and greater variance in global efficiency. Overall, our cross-cultural replication of age-associated changes in dFC metrics implies that advancing age is robustly associated with a reorganization of dynamic brain activation that favors the use of less functionally specific networks.
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Affiliation(s)
- Xi Yang
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, The Netherlands
| | - Xinqi Zhou
- Institute of Brain and Psychological Sciences, Sichuan Normal University, 610066 Chengdu, Sichuan, China
| | - Fei Xin
- School of Psychology, Shenzhen University, 518060 Shenzhen, Guangdong, China
| | - Benjamin Becker
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, 611731 Chengdu, Sichuan, China
| | - David Linden
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, The Netherlands
| | - Dennis Hernaus
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, The Netherlands
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Characterizing different cognitive and neurobiological profiles in a community sample of children using a non-parametric approach: An fMRI study. Dev Cogn Neurosci 2023; 60:101198. [PMID: 36652896 PMCID: PMC9853310 DOI: 10.1016/j.dcn.2023.101198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 12/06/2022] [Accepted: 01/11/2023] [Indexed: 01/14/2023] Open
Abstract
Executive Functions (EF) is an umbrella term for a set of mental processes geared towards goal-directed behavior supporting academic skills such as reading abilities. One of the brain's functional networks implicated in EF is the Default Mode Network (DMN). The current study uses measures of inhibitory control, a main sub-function of EF, to create cognitive and neurobiological "inhibitory control profiles" and relate them to reading abilities in a large sample (N = 5055) of adolescents aged 9-10 from the Adolescent Brain Cognitive Development (ABCD) study. Using a Latent Profile Analysis (LPA) approach, data related to inhibitory control was divided into four inhibition classes. For each class, functional connectivity within the DMN was calculated from resting-state data, using a non-parametric algorithm for detecting group similarities. These inhibitory control profiles were then related to reading abilities. The four inhibitory control groups showed significantly different reading abilities, with neurobiologically different DMN segregation profiles for each class versus controls. The current study demonstrates that a community sample of children is not entirely homogeneous and is composed of different subgroups that can be differentiated both behaviorally/cognitively and neurobiologically, by focusing on inhibitory control and the DMN. Educational implications relating these results to reading abilities are noted.
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Tommasi M, Sergi MR, Picconi L, Saggino A. The location of emotional intelligence measured by EQ-i in the personality and cognitive space: Are there gender differences? Front Psychol 2023; 13:985847. [PMID: 36687855 PMCID: PMC9846219 DOI: 10.3389/fpsyg.2022.985847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 12/05/2022] [Indexed: 01/06/2023] Open
Abstract
Introduction Emotional Intelligence (EI) is first described by Salovey and Mayer as the ability to perceive and understand emotions and the ability to use them as supports for thoughts. Despite the great notoriety of EI, its definition remains not completely clear. An operative definition of EI can be achieved by studying its connection with other individual characteristics such as gender, personality traits, and fluid intelligence. Methods The sample was composed of 1,063 Italian subjects. A total of 330 participants were employed (31.0%; 57.9% men) and 702 were university students (66.0%; 38.7% men). The Emotional Quotient Inventory (EQ-i), one of the most used questionnaires in literature, was used to measure EI. The exploratory structural equation modeling (ESEM) was used to assess the role of personality traits (five-factor model of personality) and fluid intelligence in EI. Statistical analyses on differences between men and women means of total and subscale EQ-i scores were estimated to evaluate whether EI, measured by EQ-i, is influenced by gender. Furthermore, a Multigroup Confirmatory Factor Analysis was conducted to assess measurement invariance in relation to gender groups. Results Emotional Intelligence, measured by EQ-i, is prevalently connected with personality traits rather than fluid intelligence. Furthermore, men outperformed women in the Intrapersonal and Stress Management EI factors, and women outperformed men in the Interpersonal EI factor. No difference in the means of the EI total score and EI latent general factor did not differ between gender groups. Conclusion Emotional Intelligence, measured by EQ-i, can be conceptually considered as a Trait EI. Furthermore, men are more capable to cope with negative events and to control impulses, while women are more able to distinguish, recognize, and comprehend others' emotions.
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Affiliation(s)
| | - Maria Rita Sergi
- Department of Medicine and Aging Sciences, University of Chieti-Pescara, Chieti, Italy
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Robertson JW, Aristi G, Hashmi JA. White matter microstructure predicts measures of clinical symptoms in chronic back pain patients. Neuroimage Clin 2023; 37:103309. [PMID: 36621020 PMCID: PMC9850203 DOI: 10.1016/j.nicl.2022.103309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 11/30/2022] [Accepted: 12/26/2022] [Indexed: 12/28/2022]
Abstract
Chronic back pain (CBP) has extensive clinical and social implications for its sufferers and is a major source of disability. Chronic pain has previously been shown to have central neural factors underpinning it, including the loss of white matter (WM), however traditional methods of analyzing WM microstructure have produced mixed and unclear results. To better understand these factors, we assessed the WM microstructure of 50 patients and 40 healthy controls (HC) using diffusion-weighted imaging. The data were analyzed using fixel-based analysis (FBA), a higher-order diffusion modelling technique applied to CBP for the first time here. Subjects also answered questionnaires relating to pain, disability, catastrophizing, and mood disorders, to establish the relationship between fixelwise metrics and clinical symptoms. FBA determined that, compared to HC, CBP patients had: 1) lower fibre density (FD) in several tracts, specifically the right anterior and bilateral superior thalamic radiations, right spinothalamic tract, right middle cerebellar peduncle, and the body and splenium of corpus callosum; 2) higher FD in the genu of corpus callosum; and 3) lower FDC - a combined fibre density and cross-section measure - in the bilateral spinothalamic tracts and right anterior thalamic radiation. Exploratory correlations showed strong negative relationships between fixelwise metrics and clinical questionnaire scores, especially pain catastrophizing. These results have important implications for the intake and processing of sensory data in CBP that warrant further investigation.
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Affiliation(s)
- Jason W Robertson
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, 1276 South Park St., Halifax, Nova Scotia B3H 2Y9, Canada; Nova Scotia Health Authority, 1276 South Park St., Halifax, Nova Scotia B3H 2Y9, Canada.
| | - Guillermo Aristi
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, 1276 South Park St., Halifax, Nova Scotia B3H 2Y9, Canada; Nova Scotia Health Authority, 1276 South Park St., Halifax, Nova Scotia B3H 2Y9, Canada
| | - Javeria A Hashmi
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, 1276 South Park St., Halifax, Nova Scotia B3H 2Y9, Canada; Nova Scotia Health Authority, 1276 South Park St., Halifax, Nova Scotia B3H 2Y9, Canada.
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Chen X, Fang L, Peng F, Wang Y, Dai Z, Wang J, Shu Y, Qiu W. Serum neurofilament light chain is associated with disturbed limbic-based functional connectivity in patients with anti-NMDAR encephalitis. J Neurochem 2023; 164:210-225. [PMID: 36184969 DOI: 10.1111/jnc.15700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/20/2022] [Accepted: 09/22/2022] [Indexed: 01/31/2023]
Abstract
Anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis shows a predilection for affecting the limbic system, but structural MRI in most patients is usually unremarkable. However, the functional connectivity reorganization of limbic nodes remains unknown. Serum neurofilament light chains (sNfL) are clinically linked with the disease severity and neurological disability of anti-NMDAR encephalitis. However, the relationship between sNfL and limbic-based functional architecture has not been explored. We consecutively recruited 20 convalescent patients with anti-NMDAR encephalitis and 24 healthy controls from March 2018 to March 2021. Resting-state functional MRI metrics, including fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), and atlas-based seed functional connectivity, were analyzed to investigate regional activities and functional connectivity alterations. Correlation analysis among functional connectivity, sNfL, Mini-Mental State Examination (MMSE), and Montreal cognitive assessment outcomes were explored in patients. Compared with those of healthy controls, the fALFF and ReHo were consistently increased in regions of the posterior default mode network (DMN) hub, mainly the bilateral supramarginal gyrus and precuneus, in patients with anti-NMDAR encephalitis (FWE-corrected p < 0.05). Patients demonstrated disturbed functional organization characterized by reduced connectivity of the posterior DMN hub with the sensorimotor cortex and hypoconnectivity of the parahippocampal gyrus (PHG) with the right fusiform gyrus but extensively enhanced thalamocortical connectivity (FWE-corrected p < 0.05). Furthermore, convalescent sNfL showed a positive correlation with enhanced thalamocortical connectivity (r = 0.4659, p = 0.0384). Onset sNfL with an independent linear correlation to convalescent MMSE performance (B coefficient, -0.013, 95% CI, -0.025 ~ -0.002, p = 0.0260) was positively correlated with intra-DMN connectivity (r = 0.8969, p < 0.0001) and limbic-sensory connectivity (r = 0.4866, p = 0.0346 for hippocampus seed and r = 0.5218, p = 0.0220 for PHG seed). Patients with anti-NMDAR encephalitis demonstrated disturbed functional organization with substantial thalamocortical hyperconnectivity, that was positively correlated with convalescent sNfL. Onset sNfL showed a positive correlation with intra-DMN connectivity and limbic-sensory connectivity.
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Affiliation(s)
- Xiaodong Chen
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.,Department of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Ling Fang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Fuhua Peng
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yuge Wang
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhengjia Dai
- Department of Psychology, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jinhui Wang
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, South China Normal University, Guangzhou, China
| | - Yaqing Shu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wei Qiu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
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Shymanskaya A, Kohn N, Habel U, Wagels L. Brain network changes in adult victims of violence. Front Psychiatry 2023; 14:1040861. [PMID: 36816407 PMCID: PMC9931748 DOI: 10.3389/fpsyt.2023.1040861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 01/16/2023] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION Stressful experiences such as violence can affect mental health severely. The effects are associated with changes in structural and functional brain networks. The current study aimed to investigate brain network changes in four large-scale brain networks, the default mode network, the salience network, the fronto-parietal network, and the dorsal attention network in self-identified victims of violence and controls who did not identify themselves as victims. MATERIALS AND METHODS The control group (n = 32) was matched to the victim group (n = 32) by age, gender, and primary psychiatric disorder. Sparse inverse covariance maps were derived from functional resting-state measurements and from T1 weighted structural data for both groups. RESULTS Our data underlined that mostly the salience network was affected in the sample of self-identified victims. In self-identified victims with a current psychiatric diagnosis, the dorsal attention network was mostly affected underlining the potential role of psychopathological alterations on attention-related processes. CONCLUSION The results showed that individuals who identify themselves as victim demonstrated significant differences in all considered networks, both within- and between-network.
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Affiliation(s)
- Aliaksandra Shymanskaya
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN Institute Brain Structure and Function, INM-10, Institute of Neuroscience and Medicine, Jülich Research Centre, Jülich, Germany
| | - Nils Kohn
- Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmengen, Netherlands
| | - Ute Habel
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN Institute Brain Structure and Function, INM-10, Institute of Neuroscience and Medicine, Jülich Research Centre, Jülich, Germany
| | - Lisa Wagels
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN Institute Brain Structure and Function, INM-10, Institute of Neuroscience and Medicine, Jülich Research Centre, Jülich, Germany
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Guo Y, Liu S, Yan F, Yin N, Ni J, Li C, Pan X, Ma R, Wu J, Li S, Li X. Associations between disrupted functional brain network topology and cognitive impairment in patients with rectal cancer during chemotherapy. Front Oncol 2022; 12:927771. [PMID: 36505777 PMCID: PMC9731768 DOI: 10.3389/fonc.2022.927771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 11/10/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction Cognitive impairment has been identified in patients with non-central nervous system cancer received chemotherapy. Chemotherapy-induced changes in the brain are considered as the possible causes of the cognitive deficits of patients. This study aimed to explore chemotherapy-related functional brain changes and cognitive impairment in rectal cancer (RC) patients who had just finished chemotherapy treatment. Methods In this study, RC patients after chemotherapy (on the day patients received the last dose of chemotherapy) (n=30) and matched healthy controls (HCs) (n=30) underwent cognitive assessments, structural magnetic resonance imaging (MRI) and resting-state functional MRI. The functional brain networks were constructed by thresholding the partial correlation matrices of 90 brain regions in the Anatomical Automatic Labeling template and the topologic properties were evaluated by graph theory analysis. Moreover, correlations between altered topological measures and scores of cognitive scales were explored in the patient group. Results Compared with HCs, RC patients had lower scores of cognitive scales. The functional brain network had preserved small-world topological features but with a tendency towards higher path length in the whole network. In addition, patients had decreased nodal global efficiency (Eglo(i)) in the left superior frontal gyrus (dorsolateral), superior frontal gyrus (orbital part), inferior frontal gyrus (opercular part), inferior frontal gyrus (triangular part) and right inferior frontal gyrus (triangular part). Moreover, values of Eglo(i) in the superior and inferior frontal gyrus were positively associated with cognitive function in the patient group. Conclusion These results suggested that cognitive impairment was associated with disruptions of the topological organization in functional brain networks of RC patients who had just finished chemotherapy, which provided new insights into the pathophysiology underlying acute effects of chemotherapy on cognitive function.
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Affiliation(s)
- Yesong Guo
- Department of Radiotherapy, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Siwen Liu
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Fei Yan
- Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Na Yin
- Department of Radiology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Jie Ni
- Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Chenchen Li
- Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Xuan Pan
- Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Rong Ma
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Jianzhong Wu
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Shengwei Li
- Department of Anorectal, Yangzhou Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Yangzhou, China,*Correspondence: Xiaoyou Li, ; Shengwei Li,
| | - Xiaoyou Li
- Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China,*Correspondence: Xiaoyou Li, ; Shengwei Li,
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Li Y, Liu A, Fu X, Mckeown MJ, Wang ZJ, Chen X. Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex. Comput Biol Med 2022; 150:106078. [PMID: 36155266 DOI: 10.1016/j.compbiomed.2022.106078] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/23/2022] [Accepted: 09/03/2022] [Indexed: 11/03/2022]
Abstract
Resting-state Magnetic resonance imaging-based parcellation aims to group the voxels/vertices non-invasively based on their connectivity profiles, which has achieved great success in understanding the fundamental organizational principles of the human brain. Given the substantial inter-individual variability, the increasing number of studies focus on individual parcellation. However, current methods perform individual parcellations independently or are based on the group prior, requiring expensive computational costs, precise parcel alignment, and extra group information. In this work, an efficient and flexible parcellation framework of individual cerebral cortex was proposed based on a region growing algorithm by merging the unassigned and neighbor vertex with the highest-correlated parcel iteratively. It considered both consistency with prior atlases and individualized functional homogeneity of parcels, which can be applied to a single individual without parcel alignment and group information. The proposed framework was leveraged to 100 unrelated subjects for functional homogeneity comparison and individual identification, and 186 patients with Parkison's disease for symptom prediction. Results demonstrated our framework outperformed other methods in functional homogeneity, and the generated parcellations provided 100% individual identification accuracy. Moreover, the default mode network (DMN) exhibited higher functional homogeneity, intra-subject parcel reproducibility and fingerprinting accuracy, while the sensorimotor network did the opposite, reflecting that the DMN is the most representative, stable, and individual-identifiable network in the resting state. The correlation analysis showed that the severity of the disease symptoms was related negatively to the similarity of individual parcellation and the atlases of healthy populations. The disease severity can be correctly predicted using machine learning models based on individual topographic features such as parcel similarity and parcel size. In summary, the proposed framework not only significantly improves the functional homogeneity but also captures individualized and disease-related brain topography, serving as a potential tool to explore brain function and disease in the future.
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Affiliation(s)
- Yu Li
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China; School of Information Science and Technology, University of Science and Technology of China, Hefei, 230026, China
| | - Aiping Liu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China; School of Information Science and Technology, University of Science and Technology of China, Hefei, 230026, China.
| | - Xueyang Fu
- School of Information Science and Technology, University of Science and Technology of China, Hefei, 230026, China
| | - Martin J Mckeown
- Pacific Parkinson's Research Centre, Vancouver, British Columbia, V6E 2M6, Canada; Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, V6T 2B5, Canada
| | - Z Jane Wang
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada
| | - Xun Chen
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China; School of Information Science and Technology, University of Science and Technology of China, Hefei, 230026, China
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Morand A, Segobin S, Lecouvey G, Gonneaud J, Eustache F, Rauchs G, Desgranges B. Alterations in resting-state functional connectivity associated to the age-related decline in time-based prospective memory. Cereb Cortex 2022; 33:4374-4383. [PMID: 36130116 DOI: 10.1093/cercor/bhac349] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/29/2022] [Accepted: 07/30/2022] [Indexed: 11/12/2022] Open
Abstract
Time-based prospective memory (TBPM) is defined as the ability to remember to perform intended actions at a specific time in the future. TBPM is impaired in aging, and this decline has been associated with white-matter alterations within the superior fronto-occipital fasciculus. In the present study, we used resting-state functional magnetic resonance imaging from 22 healthy young (26 ± 5.2 years) and 23 older (63 ± 6.1 years) participants to investigate how age-related alterations in resting-state functional connectivity are related to TBPM performance, and whether these alterations are associated with the white-matter disruptions we have previously observed with diffusion tensor imaging. Whole-brain analyses revealed lower resting-state functional connectivity in older participants compared with younger ones, which in turn correlated with TBPM performance. These correlations were mainly located in the salience network and the parietal part of the frontoparietal network. Our findings suggest that resting-state functional connectivity alterations contribute to the age-related decline in TBPM.
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Affiliation(s)
- Alexandrine Morand
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
- Normandie Universite, UNICAEN, Inserm, U1237, PHIND, Institut Blood and Brain @Caen-Normandie, GIP Cyceron, Bd Henri Becquerel, BP 5229, 14074 Caen Cedex 5, France
| | - Shailendra Segobin
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
| | - Grégory Lecouvey
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
| | - Julie Gonneaud
- Normandie Universite, UNICAEN, Inserm, U1237, PHIND, Institut Blood and Brain @Caen-Normandie, GIP Cyceron, Bd Henri Becquerel, BP 5229, 14074 Caen Cedex 5, France
| | - Francis Eustache
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
| | - Géraldine Rauchs
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
- Normandie Universite, UNICAEN, Inserm, U1237, PHIND, Institut Blood and Brain @Caen-Normandie, GIP Cyceron, Bd Henri Becquerel, BP 5229, 14074 Caen Cedex 5, France
| | - Béatrice Desgranges
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
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