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Kumar D, Yanagisawa M, Funato H. Sleep-dependent memory consolidation in young and aged brains. AGING BRAIN 2024; 6:100124. [PMID: 39309405 PMCID: PMC11416671 DOI: 10.1016/j.nbas.2024.100124] [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: 05/31/2024] [Revised: 08/29/2024] [Accepted: 09/02/2024] [Indexed: 09/25/2024] Open
Abstract
Young children and aged individuals are more prone to memory loss than young adults. One probable reason is insufficient sleep-dependent memory consolidation. Sleep timing and sleep-stage duration differ between children and aged individuals compared to adults. Frequent daytime napping and fragmented sleep architecture are common in children and older individuals. Moreover, sleep-dependent oscillations that play crucial roles in long-term memory storage differ among age groups. Notably, the frontal cortex, which is important for long-term memory storage undergoes major structural changes in children and aged subjects. The similarities in sleep dynamics between children and aged subjects suggest that a deficit in sleep-dependent consolidation contributes to memory loss in both age groups.
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Affiliation(s)
- Deependra Kumar
- International Institute for Integrative Sleep Medicine, University of Tsukuba, Tsukuba, Ibaraki 305-0006, Japan
| | - Masashi Yanagisawa
- International Institute for Integrative Sleep Medicine, University of Tsukuba, Tsukuba, Ibaraki 305-0006, Japan
| | - Hiromasa Funato
- International Institute for Integrative Sleep Medicine, University of Tsukuba, Tsukuba, Ibaraki 305-0006, Japan
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2
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Xiong W, Cai J, Sun B, Lin H, Wei C, Huang C, Zhu X, Tan H. The association between genetic variations and morphology-based brain networks changes in Alzheimer's disease. J Neurochem 2024; 168:1490-1502. [PMID: 36625269 DOI: 10.1111/jnc.15761] [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: 07/31/2022] [Revised: 10/18/2022] [Accepted: 12/22/2022] [Indexed: 01/11/2023]
Abstract
Alzheimer's disease (AD) is a highly heritable disease. The morphological changes of cortical cortex (such as, cortical thickness and surface area) in AD always accompany by the change of the functional connectivity to other brain regions and influence the short- and long-range brain network connections, causing functional deficits of AD. In this study, the first hypothesis is that genetic variations might affect morphology-based brain networks, leading to functional deficits; the second hypothesis is that protein-protein interaction (PPI) between the candidate proteins and known interacting proteins to AD might exist and influence AD. 600 470 variants and structural magnetic resonance imaging scans from 175 AD patients and 214 healthy controls were obtained from the Alzheimer's Disease Neuroimaging Initiative-1 database. A co-sparse reduced-rank regression model was fit to study the relationship between non-synonymous mutations and morphology-based brain networks. After that, PPIs between selected genes and BACE1, an enzyme that was known to be related to AD, are explored by using molecular dynamics (MD) simulation and co-immunoprecipitation (Co-IP) experiments. Eight genes affecting morphology-based brain networks were identified. The results of MD simulation showed that the PPI between TGM4 and BACE1 was the strongest among them and its interaction was verified by Co-IP. Hence, gene variations influence morphology-based brain networks in AD, leading to functional deficits. This finding, validated by MD simulation and Co-IP, suggests that the effect is robust.
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Affiliation(s)
- Weixue Xiong
- Shantou University Medical College, Shantou, China
| | - Jiahui Cai
- Shantou University Medical College, Shantou, China
| | - Bo Sun
- Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Henghui Lin
- Shantou University Medical College, Shantou, China
| | - Chiyu Wei
- Shantou University Medical College, Shantou, China
| | | | - Xiaohui Zhu
- College of Pharmacy, Shenzhen Technology University, Shenzhen, China
| | - Haizhu Tan
- Shantou University Medical College, Shantou, China
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Pang X, Fan S, Zhang Y, Zhang T, Hou Q, Wu Y, Zhang Y, Tian Y, Wang K. Alterations in neural circuit dynamics between the limbic network and prefrontal/default mode network in patients with generalized anxiety disorder. Neuroimage Clin 2024; 43:103640. [PMID: 39033631 PMCID: PMC11326924 DOI: 10.1016/j.nicl.2024.103640] [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: 05/06/2024] [Revised: 07/04/2024] [Accepted: 07/10/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND Widespread functional alterations have been implicated in patients with generalized anxiety disorder (GAD). However, most studies have primarily focused on static brain network features in patients with GAD. The current research focused on exploring the dynamics within functional brain networks among individuals diagnosed with GAD. METHODS Seventy-five participants were divided into patients with GAD and healthy controls (HCs), and resting-state functional magnetic resonance imaging data were collected. The severity of symptoms was measured using the Hamilton Anxiety Scale and the Patient Health Questionnaire. Co-activation pattern (CAP) analysis, centered on the bed nucleus of the stria terminalis, was applied to explore network dynamics. The capability of these dynamic characteristics to distinguish between patients with GAD and HCs was evaluated using a support vector machine. RESULTS Patients with GAD exhibited disruptions in the limbic-prefrontal and limbic-default-mode network circuits. Particularly noteworthy was the marked reduction in dynamic indicators such as occurrence, EntriesFromBaseline, ExitsToBaseline, in-degree, out-degree, and resilience. Moreover, these decreased dynamic features effectively distinguished the GAD group from the HC in this study. CONCLUSIONS The current findings revealed the underlying brain networks associated with compromised emotion regulation in individuals with GAD. The dynamic reduction in connectivity between the limbic-default mode network and limbic-prefrontal networks could potentially act as a biomarker and therapeutic target for GAD in the future.
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Affiliation(s)
- Xiaonan Pang
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Siyu Fan
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yulin Zhang
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ting Zhang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Qiangqiang Hou
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yue Wu
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ye Zhang
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
| | - Yanghua Tian
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; The College of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230032, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China.
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; The College of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
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4
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Singh K, Barsoum S, Schilling KG, An Y, Ferrucci L, Benjamini D. Neuronal microstructural changes in the human brain are associated with neurocognitive aging. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.11.575206. [PMID: 38260525 PMCID: PMC10802615 DOI: 10.1101/2024.01.11.575206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Gray matter (GM) alterations play a role in aging-related disorders like Alzheimer's disease and related dementias, yet MRI studies mainly focus on macroscopic changes. Although reliable indicators of atrophy, morphological metrics like cortical thickness lack the sensitivity to detect early changes preceding visible atrophy. Our study aimed at exploring the potential of diffusion MRI in unveiling sensitive markers of cortical and subcortical age-related microstructural changes and assessing their associations with cognitive and behavioral deficits. We leveraged the Human Connectome Project-Aging cohort that included 707 unimpaired participants (394 female; median age = 58, range = 36-90 years) and applied the powerful mean apparent diffusion propagator model to measure microstructural parameters, along with comprehensive behavioral and cognitive test scores. Both macro- and microstructural GM characteristics were strongly associated with age, with widespread significant microstructural correlations reflective of cellular morphological changes, reduced cellular density, increased extracellular volume, and increased membrane permeability. Importantly, when correlating MRI and cognitive test scores, our findings revealed no link between macrostructural volumetric changes and neurobehavioral performance. However, we found that cellular and extracellular alterations in cortical and subcortical GM regions were associated with neurobehavioral performance. Based on these findings, it is hypothesized that increased microstructural heterogeneity and decreased neurite orientation dispersion precede macrostructural changes, and that they play an important role in subsequent cognitive decline. These alterations are suggested to be early markers of neurocognitive performance that may distinctly aid in identifying the mechanisms underlying phenotypic aging and subsequent age-related functional decline.
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Affiliation(s)
- Kavita Singh
- Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Stephanie Barsoum
- Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Kurt G Schilling
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yang An
- Brain Aging and Behavior Section, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Dan Benjamini
- Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, NIH, Baltimore, MD, USA
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Graïc JM, Corain L, Finos L, Vadori V, Grisan E, Gerussi T, Orekhova K, Centelleghe C, Cozzi B, Peruffo A. Age-related changes in the primary auditory cortex of newborn, adults and aging bottlenose dolphins ( Tursiops truncatus) are located in the upper cortical layers. Front Neuroanat 2024; 17:1330384. [PMID: 38250022 PMCID: PMC10796513 DOI: 10.3389/fnana.2023.1330384] [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: 12/06/2023] [Indexed: 01/23/2024] Open
Abstract
Introduction The auditory system of dolphins and whales allows them to dive in dark waters, hunt for prey well below the limit of solar light absorption, and to communicate with their conspecific. These complex behaviors require specific and sufficient functional circuitry in the neocortex, and vicarious learning capacities. Dolphins are also precocious animals that can hold their breath and swim within minutes after birth. However, diving and hunting behaviors are likely not innate and need to be learned. Our hypothesis is that the organization of the auditory cortex of dolphins grows and mature not only in the early phases of life, but also in adults and aging individuals. These changes may be subtle and involve sub-populations of cells specificall linked to some circuits. Methods In the primary auditory cortex of 11 bottlenose dolphins belonging to three age groups (calves, adults, and old animals), neuronal cell shapes were analyzed separately and by cortical layer using custom computer vision and multivariate statistical analysis, to determine potential minute morphological differences across these age groups. Results The results show definite changes in interneurons, characterized by round and ellipsoid shapes predominantly located in upper cortical layers. Notably, neonates interneurons exhibited a pattern of being closer together and smaller, developing into a more dispersed and diverse set of shapes in adulthood. Discussion This trend persisted in older animals, suggesting a continuous development of connections throughout the life of these marine animals. Our findings further support the proposition that thalamic input reach upper layers in cetaceans, at least within a cortical area critical for their survival. Moreover, our results indicate the likelihood of changes in cell populations occurring in adult animals, prompting the need for characterization.
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Affiliation(s)
- Jean-Marie Graïc
- Department of Comparative Biomedicine and Food Science, University of Padova, Legnaro, Italy
| | - Livio Corain
- Department of Management and Engineering, University of Padova, Vicenza, Italy
| | - Livio Finos
- Department of Statistical Sciences, University of Padova, Padua, Italy
| | - Valentina Vadori
- Department of Computer Science and Informatics, London South Bank University, London, United Kingdom
| | - Enrico Grisan
- Department of Computer Science and Informatics, London South Bank University, London, United Kingdom
| | - Tommaso Gerussi
- Department of Comparative Biomedicine and Food Science, University of Padova, Legnaro, Italy
| | - Ksenia Orekhova
- Department of Comparative Biomedicine and Food Science, University of Padova, Legnaro, Italy
| | - Cinzia Centelleghe
- Department of Comparative Biomedicine and Food Science, University of Padova, Legnaro, Italy
| | - Bruno Cozzi
- Department of Comparative Biomedicine and Food Science, University of Padova, Legnaro, Italy
| | - Antonella Peruffo
- Department of Comparative Biomedicine and Food Science, University of Padova, Legnaro, Italy
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Liu T, Shi Z, Zhang J, Wang K, Li Y, Pei G, Wang L, Wu J, Yan T. Individual functional parcellation revealed compensation of dynamic limbic network organization in healthy ageing. Hum Brain Mapp 2022; 44:744-761. [PMID: 36214186 PMCID: PMC9842897 DOI: 10.1002/hbm.26096] [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: 06/28/2022] [Revised: 09/01/2022] [Accepted: 09/19/2022] [Indexed: 01/25/2023] Open
Abstract
Using group-level functional parcellations and constant-length sliding window analysis, dynamic functional connectivity studies have revealed network-specific impairment and compensation in healthy ageing. However, functional parcellation and dynamic time windows vary across individuals; individual-level ageing-related brain dynamics are uncertain. Here, we performed individual parcellation and individual-length sliding window clustering to characterize ageing-related dynamic network changes. Healthy participants (n = 637, 18-88 years) from the Cambridge Centre for Ageing and Neuroscience dataset were included. An individual seven-network parcellation, varied from group-level parcellation, was mapped for each participant. For each network, strong and weak cognitive brain states were revealed by individual-length sliding window clustering and canonical correlation analysis. The results showed negative linear correlations between age and change ratios of sizes in the default mode, frontoparietal, and salience networks and a positive linear correlation between age and change ratios of size in the limbic network (LN). With increasing age, the occurrence and dwell time of strong states showed inverted U-shaped patterns or a linear decreasing pattern in most networks but showed a linear increasing pattern in the LN. Overall, this study reveals a compensative increase in emotional networks (i.e., the LN) and a decline in cognitive and primary sensory networks in healthy ageing. These findings may provide insights into network-specific and individual-level targeting during neuromodulation in ageing and ageing-related diseases.
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Affiliation(s)
- Tiantian Liu
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Zhongyan Shi
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Jian Zhang
- Intelligent Robotics Institute, School of Mechatronical EngineeringBeijing Institute of TechnologyBeijingChina
| | - Kexin Wang
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Yuanhao Li
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Guangying Pei
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Li Wang
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Jinglong Wu
- School of Medical TechnologyBeijing Institute of TechnologyBeijingChina
| | - Tianyi Yan
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
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7
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Kim E, Kim S, Kim Y, Cha H, Lee HJ, Lee T, Chang Y. Connectome-based predictive models using resting-state fMRI for studying brain aging. Exp Brain Res 2022; 240:2389-2400. [PMID: 35922524 DOI: 10.1007/s00221-022-06430-7] [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: 02/23/2022] [Accepted: 07/26/2022] [Indexed: 11/25/2022]
Abstract
Changes in the brain with age can provide useful information regarding an individual's chronological age. studies have suggested that functional connectomes identified via resting-state functional magnetic resonance imaging (fMRI) could be a powerful feature for predicting an individual's age. We applied connectome-based predictive modeling (CPM) to investigate individual chronological age predictions via resting-state fMRI using open-source datasets. The significant feature for age prediction was confirmed in 168 subjects from the Southwest University Adult Lifespan Dataset. The higher contributing nodes for age production included a positive connection from the left inferior parietal sulcus and a negative connection from the right middle temporal sulcus. On the network scale, the subcortical-cerebellum network was the dominant network for age prediction. The generalizability of CPM, which was constructed using the identified features, was verified by applying this model to independent datasets that were randomly selected from the Autism Brain Imaging Data Exchange I and the Open Access Series of Imaging Studies 3. CPM via resting-state fMRI is a potential robust predictor for determining an individual's chronological age from changes in the brain.
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Affiliation(s)
- Eunji Kim
- Department of Korea Radioisotope Center for Pharmaceuticals, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
- Department of Medical and Biological Engineering, Kyungpook National University, Daegu, Korea
| | - Seungho Kim
- Department of Medical and Biological Engineering, Kyungpook National University, Daegu, Korea
| | - Yunheung Kim
- Department of Medical and Biological Engineering, Kyungpook National University, Daegu, Korea
| | - Hyunsil Cha
- Department of Medical and Biological Engineering, Kyungpook National University, Daegu, Korea
| | - Hui Joong Lee
- Department of Radiology, Kyungpook National University School of Medicine, Daegu, Korea
- Department of Radiology, Kyungpook National University Hospital, Daegu, Korea
| | - Taekwan Lee
- Korea Brain Research Institute, Chumdanro 61, Dong-gu, Daegu, 41021, Republic of Korea.
| | - Yongmin Chang
- Department of Medical and Biological Engineering, Kyungpook National University, Daegu, Korea.
- Department of Radiology, Kyungpook National University Hospital, Daegu, Korea.
- The Department of Molecular Medicine and Radiology, Kyungpook National University School of Medicine, 200 Dongduk-Ro Jung-Gu, Daegu, Korea.
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8
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Bashford‐Largo J, Zhang R, Mathur A, Elowsky J, Schwartz A, Dobbertin M, Blair RJR, Blair KS, Bajaj S. Reduced cortical volume of the default mode network in adolescents with generalized anxiety disorder. Depress Anxiety 2022; 39:485-495. [PMID: 35312127 PMCID: PMC9246827 DOI: 10.1002/da.23252] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 03/03/2022] [Accepted: 03/06/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Widespread structural alterations have been shown to be implicated in individuals with generalized anxiety disorder (GAD). However, there have been inconsistent findings in cortical volume (CV) differences. Most structural neuroimaging studies looking at GAD used region-based approach with relatively small sample sizes, let alone be specific to adolescents with GAD. We believe this is the first study to look at CV measures using a network-based approach in a larger sample of adolescents with GAD. The goal of the current study was to focus on three different brain networks (i.e., Limbic, Frontoparietal, and Default Mode Network [DMN]) in adolescents with GAD. METHOD The study involved 81 adolescents with GAD and 112 typically developing (TD) comparison individuals matched on age (15.98 and 15.63 respective means), sex (42F/39M and 45F/67M), and IQ (101.90 and 103.94 respective means). Participants underwent structural MRI. Freesurfer was used to estimate CV (both network-specific and region-specific within networks) and region-specific sub-cortical volume measures. Multivariate analysis of covariance (MANCOVA; with sex, age, IQ, and intracranial volume [ICV] as potential covariates) was used to estimate group differences. RESULTS We found significantly lower CV for the DMN in adolescents with GAD, compared with TD individuals. Adolescents with GAD also showed significantly lower hemispheric mean CV of the default-mode regions (particularly the prefrontal and temporal regions) and the hippocampus, compared with TD individuals. CONCLUSION The current findings suggest structural alterations in adolescents with GAD. These structural alterations will need to be addressed when implementing and developing treatments for patients with GAD.
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Affiliation(s)
- Johannah Bashford‐Largo
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral ResearchBoys Town National Research HospitalBoys TownNebraskaUSA
- Center for Brain, Biology, and BehaviorUniversity of Nebraska‐LincolnLincolnNebraskaUSA
| | - Ru Zhang
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral ResearchBoys Town National Research HospitalBoys TownNebraskaUSA
| | - Avantika Mathur
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral ResearchBoys Town National Research HospitalBoys TownNebraskaUSA
| | - Jaimie Elowsky
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral ResearchBoys Town National Research HospitalBoys TownNebraskaUSA
| | - Amanda Schwartz
- Department of PsychologyUniversity of North DakotaGrand ForksNorth DakotaUSA
| | - Matthew Dobbertin
- Inpatient Psychiatric Care UnitBoys Town National Research HospitalBoys TownNebraskaUSA
| | - Robert James R. Blair
- Child and Adolescent Mental Health Centre, Mental Health ServicesCapital Region of DenmarkCopenhagenDenmark
| | - Karina S. Blair
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral ResearchBoys Town National Research HospitalBoys TownNebraskaUSA
| | - Sahil Bajaj
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral ResearchBoys Town National Research HospitalBoys TownNebraskaUSA
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Zhang Y, Ding C, Cai Y, Chen X, Zhao Y, Liu X, Zhang J, Sun S, Liu W. Astilbin ameliorates oxidative stress and apoptosis in D-galactose-induced senescence by regulating the PI3K/Akt/m-TOR signaling pathway in the brains of mice. Int Immunopharmacol 2021; 99:108035. [PMID: 34435579 DOI: 10.1016/j.intimp.2021.108035] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 07/06/2021] [Accepted: 07/28/2021] [Indexed: 12/19/2022]
Abstract
An increasing amount of evidence has shown that injection of D-galactose (D-gal) can mimic natural aging that typically is associated with brain injury. Oxidative stress and apoptosis has been shown to play an essential role in aging process. The purpose of this study was to investigate the protective effectsof astilbin (ASB) on D-Gal-induced agingin miceand to further explore the underlying mechanisms. We randomly divided 50 mice into 5 groups.To establish this model of aging, 40micewere intraperitoneally administered D-Gal (500 mg/kg). The mice in the treatmentgroupswere intragastricaly administratedASB at doses of 40 and 80 mg/kg. H&E and TUNEL staining were used to determine the effect of ASB on the number of apoptotic cells in the brain. Furthermore, biochemical indices of serum, oxidative stress factors, and apoptosis factors were determined to clarify the underlying mechanism using reagent test kits and western blotting. The results showed that varying doses of ASB could improve D-Gal-induced histopathological damageand significantly alleviatedthe aging induced by D-Galin mice. ASB remarkably decreased the activities of malondialdehyde (MDA)(p < 0.01)and Acetyl cholinesterase (AChE)(p < 0.05) and markedlyincreased the content of catalase (CAT)(p < 0.01)and superoxide dismutase (SOD)(p < 0.01), respectively. In addition, Western blotting revealed thatASB treatment (40 mg/kg)attenuated the D-gal-induced Bax and Caspase 3 protein expression(p < 0.01) and reversed the increase in Bcl-2protein expressionin brain. Moreover, ASB treatment significantly upregulated the protein expression ofp-PI3K/PI3K and altered the p-Akt/Akt ratio (p < 0.05), while inhibiting the expression of p-m-TOR relative to m-TOR(p < 0.05). Moreover, the expression of P53 tended to decreasein the low ASB treatmentgroup (40 mg/kg), whereas no change was observed in the high ASB treatmentgroup (80 mg/kg). In the intestinal flora, the richness of the normal group and the ASB group was higher than that of the D-Gal group. Heat map analysis also showed that ASB promoted Lactobacillus and other probiotics and also confirmed the advantages of ASB. The observed changes in intestinal flora further verified the efficacy of ASB.
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Affiliation(s)
- Yue Zhang
- College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin, China.
| | - Chuanbo Ding
- College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin, China; College of Traditional Chinese Medicine, Jilin Agricultural Science and Technology University, Jilin, China.
| | - Yuan Cai
- Jilin Institute of Bioloy, Changchun, Jilin, China.
| | - Xueyan Chen
- College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin, China.
| | - Yingchun Zhao
- College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin, China.
| | - Xinglong Liu
- College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin, China.
| | - Jinping Zhang
- College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin, China.
| | - Shunwen Sun
- College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin, China.
| | - Wencong Liu
- College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin, China.
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10
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Pieper J, Chang DG, Mahasin SZ, Swan AR, Quinto AA, Nichols S, Diwakar M, Huang C, Swan J, Lee R, Baker DG, Huang M. Brain Amygdala Volume Increases in Veterans and Active-Duty Military Personnel With Combat-Related Posttraumatic Stress Disorder and Mild Traumatic Brain Injury. J Head Trauma Rehabil 2021; 35:E1-E9. [PMID: 31033749 PMCID: PMC6814512 DOI: 10.1097/htr.0000000000000492] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To identify amygdalar volumetric differences associated with posttraumatic stress disorder (PTSD) in individuals with comorbid mild traumatic brain injury (mTBI) compared with those with mTBI-only and to examine the effects of intracranial volume (ICV) on amygdala volumetric measures. SETTING Marine Corps Base and VA Healthcare System. PARTICIPANTS A cohort of veterans and active-duty military personnel with combat-related mTBI (N = 89). DESIGN Twenty-nine participants were identified with comorbid PTSD and mTBI. The remaining 60 formed the mTBI-only control group. Structural images of brains were obtained with a 1.5-T MRI scanner using a T1-weighted 3D-IR-FSPGR pulse sequence. Automatic segmentation was performed in Freesurfer. MAIN MEASURES Amygdala volumes with/without normalizations to ICV. RESULTS The comorbid mTBI/PTSD group had significantly larger amygdala volumes, when normalized to ICV, compared with the mTBI-only group. The right and left amygdala volumes after normalization to ICV were 0.122% ± 0.012% and 0.118% ± 0.011%, respectively, in the comorbid group compared with 0.115% ± 0.012% and 0.112% ± 0.009%, respectively, in the mTBI-only group (corrected P < .05). CONCLUSIONS The ICV normalization analysis performed here may resolve previous literature discrepancies. This is an intriguing structural finding, given the role of the amygdala in the challenging neuroemotive symptoms witnessed in casualties of combat-related mTBI and PTSD.
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Affiliation(s)
- Joel Pieper
- Department of Internal Medicine, University of California, San Diego, CA, USA
| | - Douglas G. Chang
- Department of Orthopaedic Surgery, University of California, San Diego, CA, USA
| | | | - Ashley Robb Swan
- Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Radiology, University of California, San Diego, CA, USA
| | - Annemarie Angeles Quinto
- Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Radiology, University of California, San Diego, CA, USA
| | - Sharon Nichols
- Department of Neuroscience, University of California, San Diego, CA, USA
| | - Mithun Diwakar
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Charles Huang
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - James Swan
- Department of Management Information Systems, San Diego State University, San Diego, CA, USA
| | - Roland Lee
- Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Radiology, University of California, San Diego, CA, USA
| | - Dewleen G. Baker
- Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, CA, USA
- VA Center of Excellence for Stress and Mental Health, San Diego, CA, USA
| | - Mingxiong Huang
- Radiology, Research, and Psychiatry Services, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Radiology, University of California, San Diego, CA, USA
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Bajaj S, Raikes AC, Razi A, Miller MA, Killgore WDS. Blue-Light Therapy Strengthens Resting-State Effective Connectivity within Default-Mode Network after Mild TBI. J Cent Nerv Syst Dis 2021; 13:11795735211015076. [PMID: 34104033 PMCID: PMC8145607 DOI: 10.1177/11795735211015076] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 02/08/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Emerging evidence suggests that post concussive symptoms, including mood changes, may be improved through morning blue-wavelength light therapy (BLT). However, the neurobiological mechanisms underlying these effects remain unknown. We hypothesize that BLT may influence the effective brain connectivity (EC) patterns within the default-mode network (DMN), particularly involving the medial prefrontal cortex (MPFC), which may contribute to improvements in mood. METHODS Resting-state functional MRI data were collected from 41 healthy-controls (HCs) and 28 individuals with mild traumatic brain injury (mTBI). Individuals with mTBI also underwent a diffusion-weighted imaging scan and were randomly assigned to complete either 6 weeks of daily morning BLT (N = 14) or amber light therapy (ALT; N = 14). Advanced spectral dynamic causal modeling (sDCM) and diffusion MRI connectometry were used to estimate EC patterns and structural connectivity strength within the DMN, respectively. RESULTS The sDCM analysis showed dominant connectivity pattern following mTBI (pre-treatment) within the hemisphere contralateral to the one observed for HCs. BLT, but not ALT, resulted in improved directional information flow (ie, EC) from the left lateral parietal cortex (LLPC) to MPFC within the DMN. The improvement in EC from LLPC to MPFC was accompanied by stronger structural connectivity between the 2 areas. For the BLT group, the observed improvements in function and structure were correlated (at a trend level) with changes in self-reported happiness. CONCLUSIONS The current preliminary findings provide empirical evidence that morning short-wavelength light therapy could be used as a novel alternative rehabilitation technique for mTBI. TRIAL REGISTRY The research protocols were registered in the ClinicalTrials.gov database (CT Identifiers NCT01747811 and NCT01721356).
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Affiliation(s)
- Sahil Bajaj
- Social, Cognitive and Affective Neuroscience (SCAN) Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Adam C Raikes
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, USA
| | - Adeel Razi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging at Monash University, Clayton, VIC, Australia
- The Wellcome Centre for Human Neuroimaging, University College London, London, UK
- Department of Electronic Engineering, NED University of Engineering and Technology, Karachi, Pakistan
| | - Michael A Miller
- Social, Cognitive and Affective Neuroscience (SCAN) Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA
| | - William DS Killgore
- Social, Cognitive and Affective Neuroscience (SCAN) Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA
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Wang Y, Leiberg K, Ludwig T, Little B, Necus JH, Winston G, Vos SB, Tisi JD, Duncan JS, Taylor PN, Mota B. Independent components of human brain morphology. Neuroimage 2021; 226:117546. [PMID: 33186714 PMCID: PMC7836233 DOI: 10.1016/j.neuroimage.2020.117546] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 10/16/2020] [Accepted: 11/05/2020] [Indexed: 01/12/2023] Open
Abstract
Quantification of brain morphology has become an important cornerstone in understanding brain structure. Measures of cortical morphology such as thickness and surface area are frequently used to compare groups of subjects or characterise longitudinal changes. However, such measures are often treated as independent from each other. A recently described scaling law, derived from a statistical physics model of cortical folding, demonstrates that there is a tight covariance between three commonly used cortical morphology measures: cortical thickness, total surface area, and exposed surface area. We show that assuming the independence of cortical morphology measures can hide features and potentially lead to misinterpretations. Using the scaling law, we account for the covariance between cortical morphology measures and derive novel independent measures of cortical morphology. By applying these new measures, we show that new information can be gained; in our example we show that distinct morphological alterations underlie healthy ageing compared to temporal lobe epilepsy, even on the coarse level of a whole hemisphere. We thus provide a conceptual framework for characterising cortical morphology in a statistically valid and interpretable manner, based on theoretical reasoning about the shape of the cortex.
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Affiliation(s)
- Yujiang Wang
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Complex Systems Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK; UCL Queen Square Institute of Neurology, London, UK.
| | - Karoline Leiberg
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Complex Systems Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK
| | - Tobias Ludwig
- Graduate Training Center of Neuroscience, University of Tübingen, Tübingen, Germany
| | - Bethany Little
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Complex Systems Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Joe H Necus
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Complex Systems Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Gavin Winston
- UCL Queen Square Institute of Neurology, London, UK; Department of Medicine, Division of Neurology, Queen's University, Kingston, Canada; Epilepsy Society MRI Unit, Chalfont St Peter, UK
| | - Sjoerd B Vos
- UCL Queen Square Institute of Neurology, London, UK; Centre for Medical Image Computing (CMIC), University College London, London, UK; Epilepsy Society MRI Unit, Chalfont St Peter, UK
| | - Jane de Tisi
- UCL Queen Square Institute of Neurology, London, UK
| | - John S Duncan
- UCL Queen Square Institute of Neurology, London, UK; Epilepsy Society MRI Unit, Chalfont St Peter, UK
| | - Peter N Taylor
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Complex Systems Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK; UCL Queen Square Institute of Neurology, London, UK
| | - Bruno Mota
- Institute of Physics, Federal University of Rio de Janeiro, Brazil
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13
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Bajaj S, Killgore WDS. Association between emotional intelligence and effective brain connectome: A large-scale spectral DCM study. Neuroimage 2021; 229:117750. [PMID: 33454407 DOI: 10.1016/j.neuroimage.2021.117750] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 12/21/2020] [Accepted: 01/07/2021] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Emotional Intelligence (EI) is a well-documented aspect of social and interpersonal functioning, but the underlying neural mechanisms for this capacity remain poorly understood. Here we used advanced brain connectivity techniques to explore the associations between EI and effective connectivity (EC) within four functional brain networks. METHODS The Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) was used to collect EI data from 55 healthy individuals (mean age = 30.56±8.3 years, 26 males). The MSCEIT comprises two area cores - experiential EI (T1) and strategic EI (T2). The T1 core included two sub-scales - perception of emotions (S1) and using emotions to facilitate thinking (S2), and the T2 core included two sub-scales - understanding of emotions (S3) and management of emotions (S4). All participants underwent structural and resting-state functional magnetic resonance imaging (rsfMRI) scans. The spectral dynamic causal modeling approach was implemented to estimate EC within four networks of interest - the default-mode network (DMN), dorsal attention network (DAN), control-execution network (CEN) and salience network (SN). The strength of EC within each network was correlated with the measures of EI, with correlations at pFDR < 0.05 considered as significant. RESULTS There was no significant association between any of the measures of EI and EC strength within the DMN and DAN. For CEN, however, we found that there were significant negative associations between EC strength from the right anterior prefrontal cortex (RAPFC) to the left anterior prefrontal cortex (LAPFC) and both S2 and T1, and significant positive associations between EC strength from LAPFC to RAPFC and S2. EC strength from the right superior parietal cortex (SPC) to RAPFC also showed significant negative association with S4 and T2. For the SN, S3 showed significant negative association with EC strength from the right insula to RAPFC and significant positive association with EC strength from the left insula to dorsal anterior cingulate cortex (DACC). CONCLUSIONS We provide evidence that the negative ECs within the right hemisphere, and from the right to left hemisphere, and positive ECs within the left hemisphere and from the left to right hemisphere of CEN (involving bilateral frontal and right parietal region) and SN (involving right frontal, anterior cingulate and bilateral insula) play a significant role in regulating and processing emotions. These findings also suggest that measures of EC can be utilized as important biomarkers to better understand the underlying neural mechanisms of EI.
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Affiliation(s)
- Sahil Bajaj
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA; Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, 14015 Flanagan Blvd. Suite #102, Boys Town, NE 68010, USA.
| | - William D S Killgore
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA
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Shin S, Nam HY, Lee MJ, Pak K, Kim K, Kim IJ. Effect of sex on aging-related decline of dopamine transporter in healthy subjects. Ann Nucl Med 2021; 35:76-82. [PMID: 33052524 DOI: 10.1007/s12149-020-01538-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 09/30/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE Aging decreases dopamine transporter (DAT) availability of striatum both in humans and rodents. We aimed to investigate the relationship of DAT availabilities from ventral striatum, caudate nucleus, and putamen with aging in healthy subjects. METHODS 123I-FP-CIT single photon emission computed tomography (SPECT) was performed in all subjects. Specific binding of 123I-FP-CIT regarding DAT was calculated using a volume-of-interest-based analysis of ventral striatum, caudate nucleus, putamen. The cerebellum was chosen as a reference region. Specific binding ratios (SBRs) were calculated as follows: SBR = (target- cerebellum)/cerebellum. RESULTS A total of 166 healthy subjects (109 males and 57 females) were included in this study. SBRs of ventral striatum, caudate nucleus, and putamen were negatively correlated with age. In young males, SBRs of ventral striatum and putamen were not correlated with aging. However, SBRs of caudate nucleus showed the trend toward negative correlation with age in the young group. In old males, SBR of caudate nucleus was negatively correlated with age and SBR of ventral striatum showed a trend toward negative correlation with age. Slopes of regression lines were not significantly different according to age groups in ventral striatum, caudate nucleus, or putamen. SBRs of ventral striatum, caudate nucleus, and putamen were negatively correlated with age in young females, but not in old females. Interestingly, slopes of regression line were significantly different between young and old females in ventral striatum, caudate nucleus, and putamen. CONCLUSIONS We have shown that slopes of regression lines of DAT availabilities and age were significantly different between young and old subjects in females, not in males. Therefore, sex has an impact on aging-related decline of striatal DAT availability.
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Affiliation(s)
- Seunghyeon Shin
- Department of Nuclear Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea
| | - Hyun-Yeol Nam
- Department of Nuclear Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea.
| | - Myung Jun Lee
- Departments of Neurology and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
| | - Kyoungjune Pak
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
| | - Keunyoung Kim
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - In Joo Kim
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
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15
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Cheng Y, Xu J, Dong C, Shen Z, Zhou C, Li N, Lu Y, Ran L, Xu L, Shan B, Xu X. Age-related atrophy of cortical thickness and genetic effect of ANK3 gene in first episode MDD patients. NEUROIMAGE-CLINICAL 2020; 28:102384. [PMID: 32911427 PMCID: PMC7490581 DOI: 10.1016/j.nicl.2020.102384] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 07/19/2020] [Accepted: 08/12/2020] [Indexed: 11/17/2022]
Abstract
Brain ageing is thought to be related to geriatric depression, but the relationship between ageing and depression among middle aged individuals is unknown. The present study aimed to evaluate whether the age-related reduction of brain cortical thickness (CT) can be found in adult first-episode MDD patients, as well as to identify the possible genetic effect of the ANK3 gene polymorphism age-relates CT reduction. This study recruited 153 first-episode MDD patients with a disease duration < 2 years and 276 healthy controls (HC), and the CT of 68 whole brain regions and two ANK3 SNPs (rs1994336 and rs10994359) were analyzed. The results showed that although the CT of both groups was negative correlated with age, the MDD group had significant greater age-related decrease in CT than the HC group (–9.35 × 10−3 mm/year for MDD vs. –1.23 × 10−3 mm/year for HC in the left lateral orbitofrontal lobe). The multivariate analysis of covariance (MANCOVA) results yielded significant interactions of diagnosis × age, genotype × age and diagnosis × genotype interaction for rs10994359. In HC, the C allele showed a protective effect on age-related CT reduction. The reduction in CT with age was several times as greater in non-C carriers as in C carriers (–3.54 × 10−3 vs.–0.15 × 10−3 mm/year in left supramarginal gyrus) for HC. However, this protective effect disappeared in patients with MDD. We did not find a clear effect of rs1994336 on the age-related CT reduction. The findings indicate that the widespread accelerated brain ageing occurs early in adult-onset depression and this ageing may be a pathological mechanisms of depression rather than an outcome of the disease. The ANK3 rs10994359 polymorphism may partially affect regional cortical ageing in MDD.
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Affiliation(s)
- Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; The NHC Key Laboratory of Drug Addiction Medicine, China.
| | - Jian Xu
- Department of Internal Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Chenglong Dong
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Zonglin Shen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Cong Zhou
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Na Li
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Yi Lu
- Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Liuyi Ran
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Lin Xu
- Key Laboratory of Animal Models and Human Disease Mechanisms, Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming 650223, China
| | - Baoci Shan
- Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
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Neurocognitive markers of childhood abuse in individuals with PTSD: Findings from the INTRuST Clinical Consortium. J Psychiatr Res 2020; 121:108-117. [PMID: 31809943 PMCID: PMC7568209 DOI: 10.1016/j.jpsychires.2019.11.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Revised: 11/18/2019] [Accepted: 11/21/2019] [Indexed: 11/20/2022]
Abstract
To date, few studies have evaluated the contribution of early life experiences to neurocognitive abnormalities observed in posttraumatic stress disorder (PTSD). Childhood maltreatment is common among individuals with PTSD and is thought to catalyze stress-related biobehavioral changes that might impact both brain structure and function in adulthood. The current study examined differences in brain morphology (brain volume, cortical thickness) and neuropsychological performance in individuals with PTSD characterized by low or high self-reported childhood maltreatment, compared with healthy comparison participants. Data were drawn from the INjury and TRaUmatic STress (INTRuST) Clinical Consortium imaging repository, which contains MRI and self-report data for individuals classified as PTSD positive (with and without a history of mild traumatic brain injury [mTBI]), individuals with mTBI only, and healthy comparison participants. The final sample included 36 individuals with PTSD without childhood maltreatment exposure (PTSD, n = 30 with mTBI), 31 individuals with PTSD and childhood maltreatment exposure (PTSD + M, n = 26 with mTBI), and 114 healthy comparison participants without history of childhood maltreatment exposure (HC). The PTSD + M and PTSD groups demonstrated cortical thinning in prefrontal and occipital regions, and poorer verbal memory and processing speed compared to the HC group. PTSD + M participants demonstrated cortical thinning in frontal and cingulate regions, and poorer executive functioning relative to the PTSD and HC groups. Thus, neurocognitive features varied between individuals with PTSD who did versus did not have exposure to childhood maltreatment, highlighting the need to assess developmental history of maltreatment when examining biomarkers in PTSD.
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17
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Age-related deficits in speech production: From phonological planning to motor implementation. Exp Gerontol 2019; 126:110695. [DOI: 10.1016/j.exger.2019.110695] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 08/15/2019] [Accepted: 08/17/2019] [Indexed: 11/18/2022]
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18
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Lowe AJ, Paquola C, Vos de Wael R, Girn M, Lariviere S, Tavakol S, Caldairou B, Royer J, Schrader DV, Bernasconi A, Bernasconi N, Spreng RN, Bernhardt BC. Targeting age-related differences in brain and cognition with multimodal imaging and connectome topography profiling. Hum Brain Mapp 2019; 40:5213-5230. [PMID: 31444896 PMCID: PMC6864903 DOI: 10.1002/hbm.24767] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 07/29/2019] [Accepted: 08/05/2019] [Indexed: 02/06/2023] Open
Abstract
Aging is characterized by accumulation of structural and metabolic changes in the brain. Recent studies suggest transmodal brain networks are especially sensitive to aging, which, we hypothesize, may be due to their apical position in the cortical hierarchy. Studying an open‐access healthy cohort (n = 102, age range = 30–89 years) with MRI and Aβ PET data, we estimated age‐related cortical thinning, hippocampal atrophy and Aβ deposition. In addition to carrying out surface‐based morphological and metabolic mapping experiments, we stratified effects along neocortical and hippocampal resting‐state functional connectome gradients derived from independent datasets. The cortical gradient depicts an axis of functional differentiation from sensory‐motor regions to transmodal regions, whereas the hippocampal gradient recapitulates its long‐axis. While age‐related thinning and increased Aβ deposition occurred across the entire cortical topography, increased Aβ deposition was especially pronounced toward higher‐order transmodal regions. Age‐related atrophy was greater toward the posterior end of the hippocampal long‐axis. No significant effect of age on Aβ deposition in the hippocampus was observed. Imaging markers correlated with behavioral measures of fluid intelligence and episodic memory in a topography‐specific manner, confirmed using both univariate as well as multivariate analyses. Our results strengthen existing evidence of structural and metabolic change in the aging brain and support the use of connectivity gradients as a compact framework to analyze and conceptualize brain‐based biomarkers of aging.
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Affiliation(s)
- Alexander J Lowe
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Casey Paquola
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Reinder Vos de Wael
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Manesh Girn
- Laboratory of Brain and Cognition, Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Sara Lariviere
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Shahin Tavakol
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Benoit Caldairou
- Neuroimaging of Epilepsy Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Jessica Royer
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Dewi V Schrader
- Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Andrea Bernasconi
- Neuroimaging of Epilepsy Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Neda Bernasconi
- Neuroimaging of Epilepsy Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - R Nathan Spreng
- Laboratory of Brain and Cognition, Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.,Department of Psychiatry and Psychology, McGill University, Montreal, Canada
| | - Boris C Bernhardt
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
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Bajaj S, Killgore WDS. Sex differences in limbic network and risk-taking propensity in healthy individuals. J Neurosci Res 2019; 98:371-383. [PMID: 31373060 DOI: 10.1002/jnr.24504] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 06/19/2019] [Accepted: 07/15/2019] [Indexed: 01/26/2023]
Abstract
Little is known about the structural neural substrates that may contribute to sex differences in risk-taking propensity (RTP). A close association between risk-seeking behavior and the emotional-regulation network led us to hypothesize that the sex differences in RTP would be associated with sex differences in brain morphometry of the limbic network (LN). We collected RTP scores using the bubble sheet version of the evaluation of risk (EVAR) scale and neuroanatomical data from 57 healthy individuals (29 males). The EVAR scale included sub-scales measuring recklessness/impulsivity, self-confidence, and need for control (NFC). We observed significant sex differences in NFC showing greater desire for control and dominance in males than females (multivariate analysis of covariance, MANCOVAN: p = .01). Morphometry analysis showed that it was only the right LN, which showed significant sex differences in normalized surface area, normalized cortical volume, and adjusted mean curvature index (females > males) at p < .01 (MANCOVAN, corrected for multiple comparisons). Correlation analysis showed that greater curvature of the right LN was significantly associated with lower desire for control in high-risk events (r = -.31, p = .02 at 95% CI of [-0.53, -0.05]). Our findings suggest that the normalized cortical measures could indicate specific sex differences in brain morphometry, particularly within the LN. The curvature index was the only differentiating factor for greater/lower propensity for risk-taking behavior in overall sample. Therefore, the LN and the curvature measures could be key biomarkers, which play an important role in predicting risk-taking behavior.
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Affiliation(s)
- Sahil Bajaj
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, Arizona
| | - William D S Killgore
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, Arizona
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Strauss S, Lotze M, Flöel A, Domin M, Grothe M. Changes in Interhemispheric Motor Connectivity Across the Lifespan: A Combined TMS and DTI Study. Front Aging Neurosci 2019; 11:12. [PMID: 30804775 PMCID: PMC6371065 DOI: 10.3389/fnagi.2019.00012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 01/14/2019] [Indexed: 12/22/2022] Open
Abstract
Age-related decline in interhemispheric connectivity between motor areas has been reported with both transcranial magnetic stimulation (TMS) and diffusion tensor imaging (DTI) measurements. However, not all studies were able to confirm these findings, and previous studies did not apply structural (DTI) and functional (TMS) measurements within each individual appropriately. Here, we investigated age dependency of the ipsilateral silent period (ISP) and integrity of fibers in the corpus callosum as operationalized by fractional anisotrophy (FA), using TMS and DTI, respectively, in 20 participants between 19 and 72 years of age. We found age-dependent increase for ISP, and decrease of FA, both indicating a decrease in interhemispheric inhibition, with a negative association between FA and ISP for the dominant hemisphere (r = -0.39, p = 0.043). Our findings suggest that aging leads to decline of interhemispheric motor connectivity, as evidenced in both structural and functional parameters, which should be taken into account when interpreting disease- or medication-related changes.
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Affiliation(s)
- Sebastian Strauss
- Department of Neurology, University Medicine of Greifswald, Greifswald, Germany
| | - Martin Lotze
- Functional Imaging, Institute for Diagnostic Radiology and Neuroradiology, University Medicine of Greifswald, Greifswald, Germany
| | - Agnes Flöel
- Department of Neurology, University Medicine of Greifswald, Greifswald, Germany
| | - Martin Domin
- Functional Imaging, Institute for Diagnostic Radiology and Neuroradiology, University Medicine of Greifswald, Greifswald, Germany
| | - Matthias Grothe
- Department of Neurology, University Medicine of Greifswald, Greifswald, Germany
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Key periods of cognitive decline in a nonhuman primate model of cognitive aging, the common marmoset (Callithrix jacchus). Neurobiol Aging 2019; 74:1-14. [DOI: 10.1016/j.neurobiolaging.2018.10.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 10/02/2018] [Accepted: 10/03/2018] [Indexed: 12/18/2022]
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Mikhael SS, Pernet C. A controlled comparison of thickness, volume and surface areas from multiple cortical parcellation packages. BMC Bioinformatics 2019; 20:55. [PMID: 30691385 PMCID: PMC6348615 DOI: 10.1186/s12859-019-2609-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Accepted: 01/04/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Cortical parcellation is an essential neuroimaging tool for identifying and characterizing morphometric and connectivity brain changes occurring with age and disease. A variety of software packages have been developed for parcellating the brain's cortical surface into a variable number of regions but interpackage differences can undermine reproducibility. Using a ground truth dataset (Edinburgh_NIH10), we investigated such differences for grey matter thickness (GMth), grey matter volume (GMvol) and white matter surface area (WMsa) for the superior frontal gyrus (SFG), supramarginal gyrus (SMG), and cingulate gyrus (CG) from 4 parcellation protocols as implemented in the FreeSurfer, BrainSuite, and BrainGyrusMapping (BGM) software packages. RESULTS Corresponding gyral definitions and morphometry approaches were not identical across the packages. As expected, there were differences in the bordering landmarks of each gyrus as well as in the manner in which variability was addressed. Rostral and caudal SFG and SMG boundaries differed, and in the event of a double CG occurrence, its upper fold was not always addressed. This led to a knock-on effect that was visible at the neighbouring gyri (e.g., knock-on effect at the SFG following CG definition) as well as gyral morphometric measurements of the affected gyri. Statistical analysis showed that the most consistent approaches were FreeSurfer's Desikan-Killiany-Tourville (DKT) protocol for GMth and BrainGyrusMapping for GMvol. Package consistency varied for WMsa, depending on the region of interest. CONCLUSIONS Given the significance and implications that a parcellation protocol will have on the classification, and sometimes treatment, of subjects, it is essential to select the protocol which accurately represents their regions of interest and corresponding morphometrics, while embracing cortical variability.
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Affiliation(s)
- Shadia S. Mikhael
- University of Edinburgh, Centre for Clinical Brain Sciences (CCBS), The Chancellor’s Building, 49 Little France Crescent, Edinburgh, EH16 4SB UK
| | - Cyril Pernet
- University of Edinburgh, Centre for Clinical Brain Sciences (CCBS), The Chancellor’s Building, 49 Little France Crescent, Edinburgh, EH16 4SB UK
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Osipova ED, Komleva YK, Morgun AV, Lopatina OL, Panina YA, Olovyannikova RY, Vais EF, Salmin VV, Salmina AB. Designing in vitro Blood-Brain Barrier Models Reproducing Alterations in Brain Aging. Front Aging Neurosci 2018; 10:234. [PMID: 30127733 PMCID: PMC6088457 DOI: 10.3389/fnagi.2018.00234] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 07/17/2018] [Indexed: 12/22/2022] Open
Abstract
Blood-brain barrier (BBB) modeling in vitro is a huge area of research covering study of intercellular communications and development of BBB, establishment of specific properties that provide controlled permeability of the barrier. Current approaches in designing new BBB models include development of new (bio) scaffolds supporting barriergenesis/angiogenesis and BBB integrity; use of methods enabling modulation of BBB permeability; application of modern analytical techniques for screening the transfer of metabolites, bio-macromolecules, selected drug candidates and drug delivery systems; establishment of 3D models; application of microfluidic technologies; reconstruction of microphysiological systems with the barrier constituents. Acceptance of idea that BBB in vitro models should resemble real functional activity of the barrier in different periods of ontogenesis and in different (patho) physiological conditions leads to proposal that establishment of BBB in vitro model with alterations specific for aging brain is one of current challenges in neurosciences and bioengineering. Vascular dysfunction in the aging brain often associates with leaky BBB, alterations in perivascular microenvironment, neuroinflammation, perturbed neuronal and astroglial activity within the neurovascular unit, impairments in neurogenic niches where microvascular scaffold plays a key regulatory role. The review article is focused on aging-related alterations in BBB and current approaches to development of “aging” BBB models in vitro.
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Affiliation(s)
- Elena D Osipova
- Department of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia.,Research Institute of Molecular Medicine & Pathobiochemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia
| | - Yulia K Komleva
- Department of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia.,Research Institute of Molecular Medicine & Pathobiochemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia
| | - Andrey V Morgun
- Department of Medical and Biological Physics, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia
| | - Olga L Lopatina
- Department of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia.,Research Institute of Molecular Medicine & Pathobiochemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia
| | - Yulia A Panina
- Department of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia
| | - Raissa Ya Olovyannikova
- Department of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia
| | - Elizaveta F Vais
- Department of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia
| | - Vladimir V Salmin
- Department of Medical and Biological Physics, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia
| | - Alla B Salmina
- Department of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia.,Research Institute of Molecular Medicine & Pathobiochemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk, Russia
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24
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Bajaj S, Raikes A, Smith R, Dailey NS, Alkozei A, Vanuk JR, Killgore WDS. The Relationship Between General Intelligence and Cortical Structure in Healthy Individuals. Neuroscience 2018; 388:36-44. [PMID: 30012372 DOI: 10.1016/j.neuroscience.2018.07.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 06/26/2018] [Accepted: 07/05/2018] [Indexed: 11/29/2022]
Abstract
Considerable work in recent years has examined the relationship between cortical thickness (CT) and general intelligence (IQ) in healthy individuals. It is not known whether specific IQ variables (i.e., perceptual reasoning [PIQ], verbal comprehension IQ [VIQ], and full-scale IQ [FSIQ]) are associated with multiple cortical measures (i.e., CT, cortical volume (CV), cortical surface area (CSA) and cortical gyrification (CG)) within the same individuals. Here we examined the association between these neuroimaging metrics and IQ in 56 healthy adults. At a cluster-forming threshold (CFT) of p < 0.05, we observed significant positive relationships between CT and all three IQ variables in regions within the posterior frontal and superior parietal lobes. Regions within the temporal and posterior frontal lobes exhibited positive relationships between CV and two IQ variables (PIQ and FSIQ) and regions within the inferior parietal lobe exhibited positive relationships between CV and PIQ. Additionally, CV was positively associated with VIQ in the left insula and with FSIQ within the inferior frontal gyrus. At a more stringent CFT (p < 0.01), the CT-PIQ, CT-VIQ, CT-FSIQ, and CV-PIQ relationships remained significant within the posterior frontal lobe, as did the CV-PIQ relationship within the temporal and inferior parietal lobes. We did not observe statistically significant relationships between IQ and either CSA or CG. Our findings suggest that the neural basis of IQ extends beyond previously observed relationships with fronto-parietal regions. We also conclude that CT and CV may be more useful metrics than CSA or CG in the study of intellectual abilities.
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Affiliation(s)
- Sahil Bajaj
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ 85724, USA.
| | - Adam Raikes
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Ryan Smith
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Natalie S Dailey
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Anna Alkozei
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - John R Vanuk
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - William D S Killgore
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ 85724, USA; McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, USA
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25
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Safavynia SA, Arora S, Pryor KO, García PS. An update on postoperative delirium: Clinical features, neuropathogenesis, and perioperative management. CURRENT ANESTHESIOLOGY REPORTS 2018; 8:252-262. [PMID: 30555281 PMCID: PMC6290904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
PURPOSE OF REVIEW We present a focused review on postoperative delirium for anesthesiologists, encompassing clinical features, neuropathogenesis, and clinical identification and management strategies based on risk factors and current delirium treatments. RECENT FINDINGS The literature on postoperative delirium is dominated by non-experimental studies. We review delirium phenotypes, diagnostic criteria, and present standard nomenclature based on current literature. Disruption of cortical integration of complex information (CICI) may provide a framework to understand the neuropathogenesis of postoperative delirium, as well as risk factors and clinical modifiers in the perioperative period. We further divide risk factors into patient factors, surgical factors, and medical/pharmacological factors, and present specific considerations for each in the preoperative, intraoperative, and postoperative periods. SUMMARY Postoperative delirium is prevalent, poorly understood, and often missed with current screening techniques. Proper identification of risk factors is useful for perioperative interventions and can help tailor patient-specific management strategies.
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Affiliation(s)
- Seyed A. Safavynia
- Department of Anesthesiology, Weill Cornell Medical
College, New York, NY, USA
| | - Sona Arora
- Department of Anesthesiology, Emory University, Atlanta,
GA, USA
| | - Kane O. Pryor
- Department of Anesthesiology, Weill Cornell Medical
College, New York, NY, USA
| | - Paul S. García
- Department of Anesthesiology, Emory University, Atlanta,
GA, USA
- Neuroanesthesia Laboratory, Atlanta VA Medical Center/Emory
University, Atlanta, GA, USA
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26
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Safavynia SA, Arora S, Pryor KO, García PS. An Update on Postoperative Delirium: Clinical Features,
Neuropathogenesis, and Perioperative Management. CURRENT ANESTHESIOLOGY REPORTS 2018. [DOI: 10.1007/s40140-018-0282-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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27
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Berisha V, Gilton D, Baxter LC, Corman SR, Blais C, Brewer G, Ruston S, Hunter Ball B, Wingert KM, Peter B, Rogalsky C. Structural neural predictors of Farsi-English bilingualism. BRAIN AND LANGUAGE 2018; 180-182:42-49. [PMID: 29723828 DOI: 10.1016/j.bandl.2018.04.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Revised: 03/24/2018] [Accepted: 04/14/2018] [Indexed: 06/08/2023]
Abstract
The neurobiology of bilingualism is hotly debated. The present study examines whether normalized cortical measurements can be used to reliably classify monolinguals versus bilinguals in a structural MRI dataset of Farsi-English bilinguals and English monolinguals. A decision tree classifier classified bilinguals with an average correct classification rate of 85%, and monolinguals with a rate of 71.4%. The most relevant regions for classification were the right supramarginal gyrus, left inferior temporal gyrus and left inferior frontal gyrus. Larger studies with carefully matched monolingual and bilingual samples are needed to confirm that features of these regions can reliably categorize monolingual and bilingual brains. Nonetheless, the present findings suggest that a single structural MRI scan, analyzed with measures readily available using default procedures in a free open-access software (Freesurfer), can be used to reliably predict an individual's language experience using a decision tree classifier, and that Farsi-English bilingualism implicates regions identified in previous group-level studies of bilingualism in other languages.
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Affiliation(s)
- Visar Berisha
- Department of Speech and Hearing Science, Arizona State University, Tempe, AZ 85287, USA; School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA
| | - Davis Gilton
- School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA
| | - Leslie C Baxter
- Barrow Neurological Institute and St. Joseph's Medical Center and Hospital, Phoenix, AZ 85013, USA
| | - Steven R Corman
- The Hugh Downs School of Human Communication, Arizona State University, Tempe, AZ 85281, USA
| | - Chris Blais
- Department of Psychology, Arizona State University, Tempe, AZ 85287, USA
| | - Gene Brewer
- Department of Psychology, Arizona State University, Tempe, AZ 85287, USA
| | - Scott Ruston
- The Hugh Downs School of Human Communication, Arizona State University, Tempe, AZ 85281, USA
| | - B Hunter Ball
- Department of Psychology, Arizona State University, Tempe, AZ 85287, USA
| | - Kimberly M Wingert
- Department of Psychology, Arizona State University, Tempe, AZ 85287, USA
| | - Beate Peter
- Department of Speech and Hearing Science, Arizona State University, Tempe, AZ 85287, USA; Department of Communication Sciences and Disorders, Saint Louis University, Saint Louis, MO 63101, USA
| | - Corianne Rogalsky
- Department of Speech and Hearing Science, Arizona State University, Tempe, AZ 85287, USA.
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