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Baboli R, Cao M, Martin E, Halperin JM, Wu K, Li X. Distinct structural brain network properties in children with familial versus non-familial attention-deficit/hyperactivity disorder (ADHD). Cortex 2024; 179:1-13. [PMID: 39089096 PMCID: PMC11401761 DOI: 10.1016/j.cortex.2024.06.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 04/12/2024] [Accepted: 06/17/2024] [Indexed: 08/03/2024]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is among the most prevalent, inheritable, and heterogeneous childhood-onset neurodevelopmental disorders. Children with a hereditary background of ADHD have heightened risk of having ADHD and persistent impairment symptoms into adulthood. These facts suggest distinct familial-specific neuropathological substrates in ADHD that may exist in anatomical components subserving attention and cognitive control processing pathways during development. The objective of this study is to investigate the topological properties of the gray matter (GM) structural brain networks in children with familial ADHD (ADHD-F), non-familial ADHD (ADHD-NF), as well as matched controls. A total of 452 participants were involved, including 132, 165 and 155 in groups of ADHD-F, ADHD-NF and typically developed children, respectively. The GM structural brain network was constructed for each group using graph theoretical techniques with cortical and subcortical structures as nodes and correlations between volume of each pair of the nodes within each group as edges, while controlled for confounding factors using regression analysis. Relative to controls, children in both ADHD-F and ADHD-NF groups showed significantly higher nodal global and nodal local efficiencies in the left caudal middle frontal gyrus. Compared to controls and ADHD-NF, children with ADHD-F showed distinct structural network topological patterns associated with right precuneus (significantly higher nodal global efficiency and significantly higher nodal strength), left paracentral gyrus (significantly higher nodal strength and trend toward significantly higher nodal local efficiency) and left putamen (significantly higher nodal global efficiency and trend toward significantly higher nodal local efficiency). Our results for the first time in the field provide evidence of familial-specific structural brain network alterations in ADHD, that may contribute to distinct clinical/behavioral symptomology and developmental trajectories in children with ADHD-F.
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Affiliation(s)
- Rahman Baboli
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA; Graduate School of Biomedical Sciences, Rutgers University, Newark, NJ, USA
| | - Meng Cao
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA; Graduate School of Biomedical Sciences, Rutgers University, Newark, NJ, USA
| | - Elizabeth Martin
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA
| | - Jeffrey M Halperin
- Department of Psychology, Queens College, City University of New York, NY, USA
| | - Kai Wu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA; Department of Electrical and Computer Engineering, New Jersey Institute of Technology, NJ, USA.
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Jellinger KA. Behavioral disorders in multiple sclerosis: a comprehensive review. J Neural Transm (Vienna) 2024:10.1007/s00702-024-02816-9. [PMID: 39231817 DOI: 10.1007/s00702-024-02816-9] [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: 04/25/2024] [Accepted: 07/28/2024] [Indexed: 09/06/2024]
Abstract
Multiple sclerosis (MS) is a heterogenous autoimmune-mediated disease of the central nervous system (CNS) characterized by inflammation, demyelination and chronic progressive neurodegeneration. Among its broad and unpredictable range of neuropsychiatric symptoms, behavioral changes are common, even from the early stages of the disease, while they are associated with cognitive deficits in advanced MS. According to DSM-5, behavioral disorders include attention deficits, oppositional, defiant and conduct disorders, anxiety, panic, obsessive-compulsive disorders (OCD), disruptive and emotional disorders, while others include also irritability, agitation, aggression and executive dysfunctions. Approximately 30 to 80% of individuals with MS demonstrate behavioral changes associated with disease progression. They are often combined with depression and other neuropsychiatric disorders, but usually not correlated with motor deficits, suggesting different pathomechanisms. These and other alterations contribute to disability in MS. While no specific neuropathological data for behavioral changes in MS are available, those in demyelination animal models share similarities with white matter and neuroinflammatory abnormalities in humans. Neuroimaging revealed prefrontal cortical atrophy, interhemispheric inhibition and disruption of fronto-striato-thalamic and frontoparietal networks. This indicates multi-regional patterns of cerebral disturbances within the MS pathology although their pathogenic mechanisms await further elucidation. Benefits of social, psychological, behavioral interventions and exercise were reported. Based on systematical analysis of PubMed, Google Scholar and Cochrane library, current epidemiological, clinical, neuroimaging and pathogenetic evidence are reviewed that may aid early identification of behavioral symptoms in MS, and promote new therapeutic targets and strategies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, Vienna, A-1150, Austria.
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Han X, Maharjan S, Chen J, Zhao Y, Qi Y, White LE, Johnson GA, Wang N. High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain. Neuroimage 2024; 297:120734. [PMID: 39032791 PMCID: PMC11377129 DOI: 10.1016/j.neuroimage.2024.120734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 07/06/2024] [Accepted: 07/11/2024] [Indexed: 07/23/2024] Open
Abstract
Brain development is a highly complex process regulated by numerous genes at the molecular and cellular levels. Brain tissue exhibits serial microstructural changes during the development process. High-resolution diffusion magnetic resonance imaging (dMRI) affords a unique opportunity to probe these changes in the developing brain non-destructively. In this study, we acquired multi-shell dMRI datasets at 32 µm isotropic resolution to investigate the tissue microstructure alterations, which we believe to be the highest spatial resolution dMRI datasets obtained for postnatal mouse brains. We adapted the Allen Developing Mouse Brain Atlas (ADMBA) to integrate quantitative MRI metrics and spatial transcriptomics. Diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and neurite orientation dispersion and density imaging (NODDI) metrics were used to quantify brain development at different postnatal days. We demonstrated that the differential evolutions of fiber orientation distributions contribute to the distinct development patterns in white matter (WM) and gray matter (GM). Furthermore, the genes enriched in the nervous system that regulate brain structure and function were expressed in spatial correlation with age-matched dMRI. This study is the first one providing high-resolution dMRI, including DTI, DKI, and NODDI models, to trace mouse brain microstructural changes in WM and GM during postnatal development. This study also highlighted the genotype-phenotype correlation of spatial transcriptomics and dMRI, which may improve our understanding of brain microstructure changes at the molecular level.
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Affiliation(s)
- Xinyue Han
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Surendra Maharjan
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA
| | - Jie Chen
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA
| | - Yi Zhao
- Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN, USA
| | - Yi Qi
- Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, USA
| | - Leonard E White
- Department of Neurology, Duke University Medical Center, Durham, NC, USA
| | - G Allan Johnson
- Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Nian Wang
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA; Stark Neurosciences Research Institute, Indiana University, Indianapolis, IN, USA.
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Lin L, Chen Y, Dai Y, Yan Z, Zou M, Zhou Q, Qian L, Cui W, Liu M, Zhang H, Yang Z, Su S. Quantification of myelination in children with attention-deficit/hyperactivity disorder: a comparative assessment with synthetic MRI and DTI. Eur Child Adolesc Psychiatry 2024; 33:1935-1944. [PMID: 37712949 DOI: 10.1007/s00787-023-02297-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 09/01/2023] [Indexed: 09/16/2023]
Abstract
Evaluation of myelin content is crucial for attention-deficit/hyperactivity disorder (ADHD). To estimate myelin content in ADHD based on synthetic MRI-based method and compare it with established diffusion tensor imaging (DTI) method. Fifth-nine ADHD and fifty typically developing (TD) children were recruited. Global and regional myelin content (myelin volume fraction [MVF] and myelin volume [MYV]) were assessed using SyMRI and compared with DTI metrics (fractional anisotropy and mean/radial/axial diffusivity). The relationship between significant MRI parameters and clinical variables were assessed in ADHD. No between-group differences of whole-brain myelin content were found. Compared to TDs, ADHD showed higher mean MVF in bilateral internal capsule, external capsule, corona radiata, and corpus callosum, as well as in left tapetum, left superior fronto-occipital fascicular, and right cingulum (all PFDR-corrected < 0.05). Increased MYV were found in similar regions. Abnormalities of DTI metrics were mainly in bilateral corticospinal tract. Besides, MVF in right retro lenticular part of internal capsule was negatively correlated with cancellation test scores (r = - 0.41, P = 0.002), and MYV in right posterior limb of internal capsule (r = 0.377, P = 0.040) and left superior corona radiata (r = 0.375, P = 0.041) were positively correlated with cancellation test scores in ADHD. Increased myelin content underscored the important pathway of frontostriatal tract, posterior thalamic radiation, and corpus callosum underlying ADHD, which reinforced the insights into myelin quantification and its potential role in pathophysiological mechanism and disease diagnosis. Prospectively registered trials number: ChiCTR2100048109; date: 2021-07.
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Affiliation(s)
- Liping Lin
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yingqian Chen
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yan Dai
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zi Yan
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Mengsha Zou
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Qin Zhou
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Long Qian
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China
| | - Wei Cui
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China
| | - Meina Liu
- Department of Pediatric, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Hongyu Zhang
- Department of Pediatric, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zhiyun Yang
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
| | - Shu Su
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
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Kim JH, Kapse K, Limperopoulos C, De Asis-Cruz J. Cerebellar volume and functional connectivity in neonates predicts social and emotional development in toddlers. Front Neurosci 2024; 18:1294527. [PMID: 38756409 PMCID: PMC11097671 DOI: 10.3389/fnins.2024.1294527] [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: 09/14/2023] [Accepted: 04/19/2024] [Indexed: 05/18/2024] Open
Abstract
Over the past decade, a growing body of research in adults has emphasized the role of the cerebellum in social and emotional cognition. This has been further supported by findings of delayed social and emotional development in toddlers with cerebellar injury during the fetal and newborn periods. However, the contributions of the cerebellum to social-emotional development in typically developing newborns are unclear. To bridge this gap in knowledge, we used multimodal MRI to investigate associations between cerebellar structure and function in 88 healthy neonates (mean ± sd of postmenstrual age, = 42.00 ± 1.91 weeks) and social-emotional development at 18-months assessed using the Infant-Toddler Social-Emotional Assessment (ITSEA) (mean age on ITSEA: 18.32 ± 1.19 months old). We found that cerebellar volume was not associated with ITSEA domain scores at 18 months. We further demonstrated cerebellar functional gradient (FGR) defined using principal component analysis (PCA) was associated with Externalizing domain (linear regression model, false-discovery-rate-adjusted p = 0.013). This cluster (FGR7) included the left dentate, right VI, left Vermis VIIIb, and right V lobules. Finally, we demonstrated that either structural or functional features of the cerebellum reliably predicted scores on the Externalizing and Internalizing domains (correlation between actual and predicted scores: for structural, Fisher's z = 0.48 ± 0.01 for Internalizing, p = 0.01; for functional, Fisher's z = 0.45 ± 0.01 for Externalizing, p = 0.02; with permutation test). Collectively, our findings suggest that the cerebellum plays an important role in social-emotional development during the critical early stages of life.
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Wang C, Shen Y, Cheng M, Zhu Z, Lv Y, Zhang X, Feng Z, Yang Z, Zhao X. Cortical gray-white matter contrast abnormalities in male children with attention deficit hyperactivity disorder. Front Hum Neurosci 2023; 17:1303230. [PMID: 38188507 PMCID: PMC10768013 DOI: 10.3389/fnhum.2023.1303230] [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: 09/27/2023] [Accepted: 12/08/2023] [Indexed: 01/09/2024] Open
Abstract
Purpose Presently, research concerning alterations in brain structure among individuals with attention deficit hyperactivity disorder (ADHD) predominantly focuses on entire brain volume and cortical thickness. In this study, we extend our examination to the cortical microstructure of male children with ADHD. To achieve this, we employ the gray-white matter tissue contrast (GWC) metric, allowing for an assessment of modifications in gray matter density and white matter microstructure. Furthermore, we explore the potential connection between GWC and the severity of disorder in male children by ADHD. Methods We acquired 3DT1 sequences from the public ADHD-200 database. In this study, we conducted a comparative analysis between 43 male children diagnosed with ADHD and 50 age-matched male controls exhibiting typical development trajectories. Our investigation entailed assessing differences in GWC and cortical thickness. Additionally, we explored the potential correlation between GWC and the severity of ADHD. To delineate the cerebral landscape, each hemisphere was subdivided into 34 cortical regions using freesurfer 7.2.0. For quantification, GWC was computed by evaluating the intensity contrast of non-normalized T1 images above and below the gray-white matter interface. Results Our findings unveiled elevated GWC within the bilateral lingual, bilateral insular, left transverse temporal, right parahippocampal and right pericalcarine regions in male children with ADHD when contrasted with their healthy counterparts. Moreover, the cortical thickness in the ADHD group no notable distinctions that of control group in all areas. Intriguingly, the GWC of left transverse temporal demonstrated a negative correlation with the extent of inattention experienced by male children with ADHD. Conclusion Utilizing GWC as a metric facilitates a more comprehensive assessment of microstructural brain changes in children with ADHD. The fluctuations in GWC observed in specific brain regions might serve as a neural biomarker, illuminating structural modifications in male children grappling with ADHD. This perspective enriches our comprehension of white matter microstructure and cortical density in these children. Notably, the inverse correlation between the GWC of the left transverse temporal and inattention severity underscores the potential role of structural and functional anomalies within this region in ADHD progression. Enhancing our insight into ADHD-related brain changes holds significant promise in deciphering potential neuropathological mechanisms.
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Affiliation(s)
- Changhao Wang
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Yanyong Shen
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Meiying Cheng
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Zitao Zhu
- Medicine Division, Wuhan University, Wuhan, China
| | - Yuan Lv
- Medical Research Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Joint International Laboratory of Glioma Metabolism and Microenvironment Research, Henan Provincial Department of Science and Technology, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoxue Zhang
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Zhanqi Feng
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Zhexuan Yang
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Xin Zhao
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
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Parlatini V, Itahashi T, Lee Y, Liu S, Nguyen TT, Aoki YY, Forkel SJ, Catani M, Rubia K, Zhou JH, Murphy DG, Cortese S. White matter alterations in Attention-Deficit/Hyperactivity Disorder (ADHD): a systematic review of 129 diffusion imaging studies with meta-analysis. Mol Psychiatry 2023; 28:4098-4123. [PMID: 37479785 PMCID: PMC10827669 DOI: 10.1038/s41380-023-02173-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 06/23/2023] [Accepted: 06/28/2023] [Indexed: 07/23/2023]
Abstract
Aberrant anatomical brain connections in attention-deficit/hyperactivity disorder (ADHD) are reported inconsistently across diffusion weighted imaging (DWI) studies. Based on a pre-registered protocol (Prospero: CRD42021259192), we searched PubMed, Ovid, and Web of Knowledge until 26/03/2022 to conduct a systematic review of DWI studies. We performed a quality assessment based on imaging acquisition, preprocessing, and analysis. Using signed differential mapping, we meta-analyzed a subset of the retrieved studies amenable to quantitative evidence synthesis, i.e., tract-based spatial statistics (TBSS) studies, in individuals of any age and, separately, in children, adults, and high-quality datasets. Finally, we conducted meta-regressions to test the effect of age, sex, and medication-naïvety. We included 129 studies (6739 ADHD participants and 6476 controls), of which 25 TBSS studies provided peak coordinates for case-control differences in fractional anisotropy (FA)(32 datasets) and 18 in mean diffusivity (MD)(23 datasets). The systematic review highlighted white matter alterations (especially reduced FA) in projection, commissural and association pathways of individuals with ADHD, which were associated with symptom severity and cognitive deficits. The meta-analysis showed a consistent reduced FA in the splenium and body of the corpus callosum, extending to the cingulum. Lower FA was related to older age, and case-control differences did not survive in the pediatric meta-analysis. About 68% of studies were of low quality, mainly due to acquisitions with non-isotropic voxels or lack of motion correction; and the sensitivity analysis in high-quality datasets yielded no significant results. Findings suggest prominent alterations in posterior interhemispheric connections subserving cognitive and motor functions affected in ADHD, although these might be influenced by non-optimal acquisition parameters/preprocessing. Absence of findings in children may be related to the late development of callosal fibers, which may enhance case-control differences in adulthood. Clinicodemographic and methodological differences were major barriers to consistency and comparability among studies, and should be addressed in future investigations.
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Affiliation(s)
- Valeria Parlatini
- Sackler Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK.
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK.
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK.
| | - Takashi Itahashi
- Medical Institute of Developmental Disabilities Research, Showa University, 6-11-11 Kita-karasuyama, Setagaya-ku, Tokyo, Japan
| | - Yeji Lee
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
| | - Siwei Liu
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Thuan T Nguyen
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme, National University of Singapore, Singapore, Singapore
| | - Yuta Y Aoki
- Medical Institute of Developmental Disabilities Research, Showa University, 6-11-11 Kita-karasuyama, Setagaya-ku, Tokyo, Japan
- Department of Psychiatry, Aoki Clinic, Tokyo, Japan
| | - Stephanie J Forkel
- Donders Centre for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Centre for Neuroimaging Sciences, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France
- Departments of Neurosurgery, Technical University of Munich School of Medicine, Munich, Germany
| | - Marco Catani
- Sackler Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
| | - Juan H Zhou
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
| | - Declan G Murphy
- Sackler Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
| | - Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK
- Solent NHS Trust, Southampton, UK
- Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York, NY, USA
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
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Dipnall LM, Hourani D, Darling S, Anderson V, Sciberras E, Silk TJ. Fronto-parietal white matter microstructure associated with working memory performance in children with ADHD. Cortex 2023; 166:243-257. [PMID: 37406409 DOI: 10.1016/j.cortex.2023.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 11/26/2022] [Accepted: 03/24/2023] [Indexed: 07/07/2023]
Abstract
INTRODUCTION Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder with many functional impairments thought to be underpinned by difficulties in executive function domains such as working memory. The superior longitudinal fasciculus (SLF) plays an integral role in the development of working memory in neurotypical children. Neuroimaging research suggests reduced white matter organization of the SLF may contribute to working memory difficulties commonly seen in ADHD. This study aimed to examine the relationship between white matter organization of the SLF and working memory in children with ADHD. METHODS We examined the association of tract volume and apparent fibre density (AFD) of the SLF with working memory in children with ADHD (n = 64) and controls (n = 58) aged 9-11years. Children completed a computerized spatial n-back task and underwent diffusion magnetic resonance imaging (dMRI). Constrained spherical deconvolution-based tractography was used to construct the three branches of the SLF bilaterally and examine volume and AFD of the SLF. RESULTS Regression analyses revealed children with ADHD exhibited poorer working memory, and lower volume and AFD of the left SLF-II compared to healthy controls. There was also an association between reaction time and variability (RT and RT-V) and the left SLF-II. Further analyses revealed volume of the left SLF-II mediated the relationship between ADHD and working memory performance (RT and RT-V). DISCUSSION These findings add to the current body of ADHD literature, revealing the potential role of frontoparietal white matter in working memory difficulties in ADHD.
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Affiliation(s)
| | - Danah Hourani
- Murdoch Children's Research Institute, Melbourne, Australia
| | - Simone Darling
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Australia
| | - Vicki Anderson
- Murdoch Children's Research Institute, Melbourne, Australia; The Royal Children's Hospital, Melbourne, Australia
| | - Emma Sciberras
- School of Psychology, Deakin University, Geelong, Australia; Murdoch Children's Research Institute, Melbourne, Australia; The Royal Children's Hospital, Melbourne, Australia
| | - Timothy J Silk
- School of Psychology, Deakin University, Geelong, Australia; Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Australia
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Hu R, Tan F, Chen W, Wu Y, Jiang Y, Du W, Zuo Y, Gao B, Song Q, Miao Y. Microstructure abnormalities of the diffusion quantities in children with attention-deficit/hyperactivity disorder: an AFQ and TBSS study. Front Psychiatry 2023; 14:1237113. [PMID: 37674550 PMCID: PMC10477457 DOI: 10.3389/fpsyt.2023.1237113] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 08/08/2023] [Indexed: 09/08/2023] Open
Abstract
Objective To explore the specific alterations of white matter microstructure in children with attention-deficit/hyperactivity disorder (ADHD) by automated fiber quantification (AFQ) and tract-based spatial statistics (TBSS), and to analyze the correlation between white matter abnormality and impairment of executive function. Methods In this prospective study, a total of twenty-seven patients diagnosed with ADHD (20 males, 7 females; mean age of 8.89 ± 1.67 years) and twenty-two healthy control (HC) individuals (11 males, 11 females, mean age of 9.82 ± 2.13 years) were included. All participants were scanned with diffusion kurtosis imaging (DKI) and assessed for executive functions. AFQ and TBSS analysis methods were used to investigate the white matter fiber impairment of ADHD patients, respectively. Axial diffusivity (AD), radial diffusivity (RD), mean diffusivity (MD) and fractional anisotropy (FA) of 17 fiber properties were calculated using the AFQ. The mean kurtosis (MK), axial kurtosis (AK), radial kurtosis (RK), mean diffusivity (MDDKI), axial diffusivity (ADDKI), radial diffusivity (RDDKI) and fractional anisotropy (FADKI) of DKI and AD, RD, MD, and FA of diffusion tensor imaging (DTI) assessed the integrity of the white matter based on TBSS. Partial correlation analyses were conducted to evaluate the correlation between white matter abnormalities and clinical test scores in ADHD while taking age, gender, and education years into account. The analyses were all family-wise error rate (FWE) corrected. Results ADHD patients performed worse on the Behavior Rating Inventory of Executive Function (BRIEF) test (p < 0.05). Minor variances existed in gender and age between ADHD and HC, but these variances did not yield statistically significant distinctions. There were no significant differences in TBSS for DKI and DTI parameters (p > 0.05, TFCE-corrected). Compared to HC volunteers, the mean AD value of right cingulum bundle (CB_R) fiber tract showed a significantly higher level in ADHD patients following the correction of FWE. As a result of the point-wise comparison between groups, significant alterations (FWE correction, p < 0.05) were mainly located in AD (nodes 36-38, nodes 83-97) and MD (nodes 92-95) of CB_R. There was no significant correlation between white matter diffusion parameters and clinical test scores in ADHD while taking age, gender, and education years into account. Conclusion The AFQ method can detect ADHD white matter abnormalities in a specific location with greater sensitivity, and the CB_R played a critical role. Our findings may be helpful in further studying the relationship between focal white matter abnormalities and ADHD.
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Affiliation(s)
- Rui Hu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
- Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Fan Tan
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Wen Chen
- Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yong Wu
- Department of Paediatrics, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yuhan Jiang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Wei Du
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yuchen Zuo
- Department of Paediatrics, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Bingbing Gao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Qingwei Song
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yanwei Miao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
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10
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Slaby RJ, Arrington CN, Malins J, Sevcik RA, Pugh KR, Morris R. Properties of white matter tract diffusivity in children with developmental dyslexia and comorbid attention deficit/hyperactivity disorder. J Neurodev Disord 2023; 15:25. [PMID: 37550628 PMCID: PMC10408076 DOI: 10.1186/s11689-023-09495-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 07/11/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Developmental dyslexia (DD) and attention deficit/hyperactivity disorder (ADHD) are highly comorbid neurodevelopmental disorders. Individuals with DD or ADHD have both been shown to have deficits in white matter tracts associated with reading and attentional control networks. However, white matter diffusivity in individuals comorbid with both DD and ADHD (DD + ADHD) has not been specifically explored. METHODS Participants were 3rd and 4th graders (age range = 7 to 11 years; SD = 0.69) from three diagnostic groups ((DD (n = 40), DD + ADHD (n = 22), and typical developing (TD) (n = 20)). Behavioral measures of reading and attention alongside measures of white matter diffusivity were collected for all participants. RESULTS DD + ADHD and TD groups differed in mean fractional anisotropy (FA) for the left and right Superior Longitudinal Fasciculus (SLF)-Parietal Terminations and SLF-Temporal Terminations. Mean FA for the DD group across these SLF tracts fell between the lower DD + ADHD and higher TD averages. No differences in mean diffusivity nor significant brain-behavior relations were found. CONCLUSIONS Findings suggest that WM diffusivity in the SLF increases along a continuum across DD + ADHD, DD, and TD.
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Affiliation(s)
- Ryan J Slaby
- Department of Psychology, Georgia State University, 140 Decatur St SE, Atlanta, GA, 30303, USA
- GSU/Georgia Tech Center for Advanced Brain Imaging, 831 Marietta St NW, Atlanta, GA, 30318, USA
- Department of Psychology, University of Milano-Bicocca, Piazza Dell' Ateneo Nuovo,1, 20126, Milan, Italy
| | - C Nikki Arrington
- Department of Psychology, Georgia State University, 140 Decatur St SE, Atlanta, GA, 30303, USA.
- GSU/Georgia Tech Center for Advanced Brain Imaging, 831 Marietta St NW, Atlanta, GA, 30318, USA.
- Georgia State University, Center for Translational Research in Neuroimaging and Data Science, 55 Park Place, 18th Floor, Atlanta, GA, 30303, USA.
| | - Jeffrey Malins
- Department of Psychology, Georgia State University, 140 Decatur St SE, Atlanta, GA, 30303, USA
- GSU/Georgia Tech Center for Advanced Brain Imaging, 831 Marietta St NW, Atlanta, GA, 30318, USA
| | - Rose A Sevcik
- Department of Psychology, Georgia State University, 140 Decatur St SE, Atlanta, GA, 30303, USA
| | - Kenneth R Pugh
- Yale University, Haskins Laboratories, 300 George Street, Suite 900, New Haven, CT, 06511, USA
| | - Robin Morris
- Department of Psychology, Georgia State University, 140 Decatur St SE, Atlanta, GA, 30303, USA
- GSU/Georgia Tech Center for Advanced Brain Imaging, 831 Marietta St NW, Atlanta, GA, 30318, USA
- Georgia State University, Center for Translational Research in Neuroimaging and Data Science, 55 Park Place, 18th Floor, Atlanta, GA, 30303, USA
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11
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Cundari M, Vestberg S, Gustafsson P, Gorcenco S, Rasmussen A. Neurocognitive and cerebellar function in ADHD, autism and spinocerebellar ataxia. Front Syst Neurosci 2023; 17:1168666. [PMID: 37415926 PMCID: PMC10321758 DOI: 10.3389/fnsys.2023.1168666] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 06/06/2023] [Indexed: 07/08/2023] Open
Abstract
The cerebellum plays a major role in balance, motor control and sensorimotor integration, but also in cognition, language, and emotional regulation. Several neuropsychiatric disorders such as attention deficit-hyperactivity disorder (ADHD), autism spectrum disorder (ASD), as well as neurological diseases such as spinocerebellar ataxia type 3 (SCA3) are associated with differences in cerebellar function. Morphological abnormalities in different cerebellar subregions produce distinct behavioral symptoms related to the functional disruption of specific cerebro-cerebellar circuits. The specific contribution of the cerebellum to typical development may therefore involve the optimization of the structure and function of cerebro-cerebellar circuits underlying skill acquisition in multiple domains. Here, we review cerebellar structural and functional differences between healthy and patients with ADHD, ASD, and SCA3, and explore how disruption of cerebellar networks affects the neurocognitive functions in these conditions. We discuss how cerebellar computations contribute to performance on cognitive and motor tasks and how cerebellar signals are interfaced with signals from other brain regions during normal and dysfunctional behavior. We conclude that the cerebellum plays a role in many cognitive functions. Still, more clinical studies with the support of neuroimaging are needed to clarify the cerebellum's role in normal and dysfunctional behavior and cognitive functioning.
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Affiliation(s)
- Maurizio Cundari
- Department of Experimental Medical Science, Faculty of Medicine, Lund University, Lund, Sweden
- Unit of Neuropsychiatry, Hospital of Helsingborg, Helsingborg, Sweden
- Unit of Neurology, Hospital of Helsingborg, Helsingborg, Sweden
| | - Susanna Vestberg
- Department of Psychology, Faculty of Social Science, Lund University, Lund, Sweden
| | - Peik Gustafsson
- Child and Adolescent Psychiatry, Department of Clinical Sciences Lund, Medical Faculty, Lund University, Lund, Sweden
| | - Sorina Gorcenco
- Department for Clinical Sciences Lund, Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Anders Rasmussen
- Department of Experimental Medical Science, Faculty of Medicine, Lund University, Lund, Sweden
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12
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Zhou Y, Liu J, Wu S, Li W, Zheng Y. Case report: A heterozygous mutation in ZNF462 leads to growth hormone deficiency. Front Genet 2022; 13:1015021. [PMID: 36568367 PMCID: PMC9770794 DOI: 10.3389/fgene.2022.1015021] [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: 08/09/2022] [Accepted: 11/16/2022] [Indexed: 12/13/2022] Open
Abstract
Weiss-Kruszka syndrome (WSKA) is a rare disease most often caused by mutations in the ZNF462 gene. To screen for hereditary diseases, exons from the patient's genome were sequenced. Genomic PCR experiments followed by Sanger sequencing were used to confirm the mutated genomic regions in the patient and his parents. We report a new mutation site, a heterozygous mutation (NM_021224.6:c.6311dup) in ZNF462 in a male patient of 8 years old. The mutation in the ZNF462 gene caused WSKA. This patient is the first case with WSKA characterized by attention-deficit hyperactivity disorder and complete growth hormone deficiency without pituitary lesions. Our results suggest that the heterozygous mutation in ZNF462 is the direct cause of WSKA in this patient. Mutations in other genes interacting with ZNF462 result in similar symptoms of WSKA. Furthermore, ZNF462 and its interacting proteins ASXL2 and VPS13B may form a protein complex that is important for normal development but awaits more studies to reveal its detailed functions.
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Affiliation(s)
- Yikun Zhou
- Department of Endocrinology and Metabolism, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China,*Correspondence: Yikun Zhou, ; Yun Zheng,
| | - Jianmei Liu
- Department of Endocrinology and Metabolism, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Shuai Wu
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
| | - Wanran Li
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
| | - Yun Zheng
- Department of Endocrinology and Metabolism, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China,State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China,College of Horticulture and Landscape, Yunnan Agricultural University, Kunming, China,*Correspondence: Yikun Zhou, ; Yun Zheng,
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13
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Thomson P, Vijayakumar N, Fuelscher I, Malpas CB, Hazell P, Silk TJ. White matter and sustained attention in children with attention/deficit-hyperactivity disorder: A longitudinal fixel-based analysis. Cortex 2022; 157:129-141. [PMID: 36283135 DOI: 10.1016/j.cortex.2022.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 05/29/2022] [Accepted: 09/20/2022] [Indexed: 12/15/2022]
Abstract
Sustained attention is a cognitive function with known links to academic success and mental health disorders such as attention/deficit-hyperactivity disorder (ADHD). Several functional networks are critical to sustained attention, however the association between white matter maturation in tracts linking functional nodes and sustained attention in typical and atypical development is unknown. 309 diffusion-weighted imaging scans were acquired from 161 children and adolescents (80 ADHD, 81 control) at up to three timepoints over ages 9-14. A fixel-based analysis approach was used to calculate mean fiber density and fiber-bundle cross section in tracts of interest. Sustained attention was measured using omission errors and response time variability on the out-of-scanner sustained attention to response task. Linear mixed effects models examined associations of age, group and white matter metrics with sustained attention. Greater fiber density in the bilateral superior longitudinal fasciculus (SLF) I and right SLF II was associated with fewer attention errors in the control group only. In ADHD and control groups, greater fiber density in the left ILF and right thalamo-premotor pathway, as well as greater fiber cross-section in the left SLF I and II and right SLF III, was associated with better sustained attention. Relationships were consistent across the age span. Results suggest that greater axon diameter or number in the dorsal and middle SLF may facilitate sustained attention in neurotypical children but does not assist those with ADHD potentially due to disorder-related alterations in this region. Greater capacity for information transfer across the SLF was associated with attention maintenance in 9-14-year-olds regardless of diagnostic status, suggesting white matter macrostructure may also be important for attention maintenance. White matter and sustained attention associations were consistent across the longitudinal study, according with the stability of structural organization over this time. Future studies can investigate modifiability of white matter properties through ADHD medications.
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Affiliation(s)
- Phoebe Thomson
- Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Murdoch Children's Research Institute, Melbourne, Australia.
| | | | - Ian Fuelscher
- School of Psychology, Deakin University, Melbourne, Australia
| | - Charles B Malpas
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia; Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
| | - Philip Hazell
- Discipline of Psychiatry, The University of Sydney, Sydney, Australia
| | - Timothy J Silk
- Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Murdoch Children's Research Institute, Melbourne, Australia; School of Psychology, Deakin University, Melbourne, Australia
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14
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Association between attention-deficit/hyperactivity disorder symptom severity and white matter integrity moderated by in-scanner head motion. Transl Psychiatry 2022; 12:434. [PMID: 36202807 PMCID: PMC9537185 DOI: 10.1038/s41398-022-02117-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 08/11/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a common and debilitating neurodevelopmental disorder associated with various negative life impacts. The manifestation of ADHD is very heterogeneous, and previous investigations on neuroanatomical alterations in ADHD have yielded inconsistent results. We investigated the mediating effect of in-scanner head motion and ADHD hyperactivity severity on motion-corrected fractional anisotropy (FA) using diffusion tensor imaging in the currently largest sample (n = 739) of medication-naïve children and adolescents (age range 5-22 years). We used automated tractography to examine whole-brain and mean FA of the tracts most frequently reported in ADHD; corpus callosum forceps major and forceps minor, left and right superior-longitudinal fasciculus, and left and right corticospinal tract (CST). Associations between FA and hyperactivity severity appeared when in-scanner head motion was not accounted for as mediator. However, causal mediation analysis revealed that these effects are fully mediated through in-scanner head motion for whole-brain FA, the corpus callosum forceps minor, and left superior-longitudinal fasciculus. Direct effect of hyperactivity severity on FA was only found for the left CST. This study illustrates the crucial role of in-scanner head motion in the identification of white matter integrity alterations in ADHD and shows how neglecting irremediable motion artifacts causes spurious findings. When the mediating effect of in-scanner head motion on FA is accounted for, an association between hyperactivity severity and FA is only present for the left CST; this may play a crucial role in the manifestation of hyperactivity and impulsivity symptoms in ADHD.
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15
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Dutta CN, Christov-Moore L, Ombao H, Douglas PK. Neuroprotection in late life attention-deficit/hyperactivity disorder: A review of pharmacotherapy and phenotype across the lifespan. Front Hum Neurosci 2022; 16:938501. [PMID: 36226261 PMCID: PMC9548548 DOI: 10.3389/fnhum.2022.938501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 08/16/2022] [Indexed: 11/13/2022] Open
Abstract
For decades, psychostimulants have been the gold standard pharmaceutical treatment for attention-deficit/hyperactivity disorder (ADHD). In the United States, an astounding 9% of all boys and 4% of girls will be prescribed stimulant drugs at some point during their childhood. Recent meta-analyses have revealed that individuals with ADHD have reduced brain volume loss later in life (>60 y.o.) compared to the normal aging brain, which suggests that either ADHD or its treatment may be neuroprotective. Crucially, these neuroprotective effects were significant in brain regions (e.g., hippocampus, amygdala) where severe volume loss is linked to cognitive impairment and Alzheimer's disease. Historically, the ADHD diagnosis and its pharmacotherapy came about nearly simultaneously, making it difficult to evaluate their effects in isolation. Certain evidence suggests that psychostimulants may normalize structural brain changes typically observed in the ADHD brain. If ADHD itself is neuroprotective, perhaps exercising the brain, then psychostimulants may not be recommended across the lifespan. Alternatively, if stimulant drugs are neuroprotective, then this class of medications may warrant further investigation for their therapeutic effects. Here, we take a bottom-up holistic approach to review the psychopharmacology of ADHD in the context of recent models of attention. We suggest that future studies are greatly needed to better appreciate the interactions amongst an ADHD diagnosis, stimulant treatment across the lifespan, and structure-function alterations in the aging brain.
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Affiliation(s)
- Cintya Nirvana Dutta
- Biostatistics Group, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- School of Modeling, Simulation, and Training, and Computer Science, University of Central Florida, Orlando, FL, United States
| | - Leonardo Christov-Moore
- Brain and Creativity Institute, University of Southern California, Los Angeles, CA, United States
| | - Hernando Ombao
- Biostatistics Group, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Pamela K. Douglas
- School of Modeling, Simulation, and Training, and Computer Science, University of Central Florida, Orlando, FL, United States
- Department of Psychiatry and Biobehavioral Medicine, University of California, Los Angeles, Los Angeles, CA, United States
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16
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Jackson TB, Bernard JA. Cerebellar and basal ganglia motor network predicts trait depression and hyperactivity. Front Behav Neurosci 2022; 16:953303. [PMID: 36187378 PMCID: PMC9523104 DOI: 10.3389/fnbeh.2022.953303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/30/2022] [Indexed: 11/23/2022] Open
Abstract
In the human brain, the cerebellum (CB) and basal ganglia (BG) are implicated in cognition-, emotion-, and motor-related cortical processes and are highly interconnected, both to cortical regions via separate, trans-thalamic pathways and to each other via subcortical disynaptic pathways. We previously demonstrated a distinction between cognitive and motor CB-BG networks (CCBN, MCBN, respectively) as it relates to cortical network integration in healthy young adults, suggesting the subcortical networks separately support cortical networks. The CB and BG are also implicated in the pathophysiology of schizophrenia, Parkinson's, and compulsive behavior; thus, integration within subcortical CB-BG networks may be related to transdiagnostic symptomology. Here, we asked whether CCBN or MCBN integration predicted Achenbach Self-Report scores for anxiety, depression, intrusive thoughts, hyperactivity and inactivity, and cognitive performance in a community sample of young adults. We computed global efficiency for each CB-BG network and 7 canonical resting-state networks for all right-handed participants in the Human Connectome Project 1200 release with a complete set of preprocessed resting-state functional MRI data (N = 783). We used multivariate regression to control for substance abuse and age, and permutation testing with exchangeability blocks to control for family relationships. MCBN integration negatively predicted depression and hyperactivity, and positively predicted cortical network integration. CCBN integration predicted cortical network integration (except for the emotional network) and marginally predicted a positive relationship with hyperactivity, indicating a potential dichotomy between cognitive and motor CB-BG networks and hyperactivity. These results highlight the importance of CB-BG interactions as they relate to motivation and symptoms of depression.
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Affiliation(s)
- T. Bryan Jackson
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, United States
- *Correspondence: T. Bryan Jackson
| | - Jessica A. Bernard
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, United States
- Texas A&M Institute for Neuroscience, Texas A&M University, College Station, TX, United States
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17
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Darchia N, Campbell IG, Basishvili T, Eliozishvili M, Tchintcharauli T, Oniani N, Sakhelashvili I, Feinberg I. Sleep electroencephalogram evidence of delayed brain maturation in attention deficit hyperactivity disorder: a longitudinal study. Sleep 2022; 45:6648473. [DOI: 10.1093/sleep/zsac163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/25/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Study Objectives
This study investigates whether longitudinally measured changes in adolescent brain electrophysiology corroborate the maturational lag associated with attention deficit hyperactivity disorder (ADHD) reported in magnetic resonance imaging (MRI) studies and cross-sectional sleep electroencephalogram (EEG) data.
Methods
Semiannually nine adolescents diagnosed with ADHD (combined presentation, DSM-V criteria, mean age 12.39 ± 0.61 years at first time-point, two females) and nine typically developing controls (12.08 ± 0.35 years, four females) underwent all-night laboratory polysomnography, yielding four recordings.
Results
Sleep macrostructure was similar between groups. A quadratic model of the age change in non-rapid eye movement (NREM) delta (1.07–4 Hz) power, with sex effects accounted for, found that delta power peaked 0.92 ± 0.37 years later in the ADHD group. A Gompertz function fit to the same data showed that the age of most rapid delta power decline occurred 0.93 ± 0.41 years later in the ADHD group (p = 0.037), but this group difference was not significant (p = 0.38) with sex effects accounted for. For very low frequency (0.29–1.07 Hz) EEG, the ADHD lag (1.07 ± 0.42 years later, p = 0.019) was significant for a Gompertz model with sex effects accounted for (p = 0.044). Theta (4–7.91 Hz) showed a trend (p = 0.064) toward higher power in the ADHD group. Analysis of the EEG decline across the night found that standardized delta and theta power in NREMP1 were significantly (p < 0.05 for both) lower in adolescents with ADHD.
Conclusions
This is the first longitudinal study to reveal electrophysiological evidence of a maturational lag associated with ADHD. In addition, our findings revealed basically unaltered sleep macrostructure but altered sleep homeostasis associated with ADHD.
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Affiliation(s)
- Nato Darchia
- Tengiz Oniani Laboratory of Sleep-Wakefulness Cycle Study, Ilia State University , Tbilisi , Georgia
| | - Ian G Campbell
- Department of Psychiatry and Behavioral Sciences, University of California Davis , Davis, CA , USA
| | - Tamar Basishvili
- Tengiz Oniani Laboratory of Sleep-Wakefulness Cycle Study, Ilia State University , Tbilisi , Georgia
| | - Marine Eliozishvili
- Tengiz Oniani Laboratory of Sleep-Wakefulness Cycle Study, Ilia State University , Tbilisi , Georgia
| | | | - Nikoloz Oniani
- Tengiz Oniani Laboratory of Sleep-Wakefulness Cycle Study, Ilia State University , Tbilisi , Georgia
| | - Irine Sakhelashvili
- Tengiz Oniani Laboratory of Sleep-Wakefulness Cycle Study, Ilia State University , Tbilisi , Georgia
| | - Irwin Feinberg
- Department of Psychiatry and Behavioral Sciences, University of California Davis , Davis, CA , USA
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18
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Zhao Y, Yang L, Gong G, Cao Q, Liu J. Identify aberrant white matter microstructure in ASD, ADHD and other neurodevelopmental disorders: A meta-analysis of diffusion tensor imaging studies. Prog Neuropsychopharmacol Biol Psychiatry 2022; 113:110477. [PMID: 34798202 DOI: 10.1016/j.pnpbp.2021.110477] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/26/2021] [Accepted: 11/11/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND Neurodevelopmental disorders (NDDs) usually present overlapping symptoms. Abnormal white matter (WM) microstructure has been found in these disorders. Identification of common and unique neural abnormalities across NDDs could provide further insight into the underlying pathophysiological mechanisms. METHODS We performed a voxel-based meta-analysis of whole-brain diffusion tensor imaging (DTI) studies in autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD) and other NDDs. A systematic literature search was conducted through March 2020 to identify studies that compared measures of WM microstructure between patients with NDDs and neurotypical controls. Peak voxel coordinates were meta-analyzed via anisotropic effect size-signed differential mapping (AES-SDM) as well as activation likelihood estimation (ALE). RESULTS Our final sample included a total of 4137 subjects from 66 studies across five NDDs. Fractional anisotropy (FA) reductions were found in the splenium of the CC in ADHD, and the genu and splenium of CC in ASD. And mean diffusivity (MD) increases were shown in posterior thalamic radiation in ASD. No consistent abnormalities were detected in specific learning disorder, motor disorder or communication disorder. Significant differences between child/adolescent and adult patients were found within the CC across NDDs, reflective of aberrant neurodevelopmental processes in NDDs. CONCLUSIONS The current study demonstrated atypical WM patterns in ASD, ADHD and other NDDs. Microstructural abnormalities in the splenium of the CC were possibly shared among ASD and ADHD.
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Affiliation(s)
- Yilu Zhao
- The Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health, (Peking University), Beijing, China
| | - Li Yang
- The Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health, (Peking University), Beijing, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Qingjiu Cao
- The Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health, (Peking University), Beijing, China.
| | - Jing Liu
- The Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health, (Peking University), Beijing, China.
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19
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Connaughton M, Whelan R, O'Hanlon E, McGrath J. White matter microstructure in children and adolescents with ADHD. Neuroimage Clin 2022; 33:102957. [PMID: 35149304 PMCID: PMC8842077 DOI: 10.1016/j.nicl.2022.102957] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 02/03/2022] [Accepted: 02/04/2022] [Indexed: 12/31/2022]
Abstract
A systematic review of diffusion MRI studies in children and adolescents with ADHD. 46 studies included, encompassing multiple diffusion MRI techniques. Reduced white matter microstructure was reported in several studies. Mixed evidence linking white matter differences with specific cognitive processes. Common limitations included sample size, head motion and medication status.
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder. Advances in diffusion magnetic resonance imaging (MRI) acquisition sequences and analytic techniques have led to growing body of evidence that abnormal white matter microstructure is a core pathophysiological feature of ADHD. This systematic review provides a qualitative assessment of research investigating microstructural organisation of white matter amongst children and adolescents with ADHD. This review included 46 studies in total, encompassing multiple diffusion MRI imaging techniques and analytic approaches, including whole-brain, region of interest and connectomic analyses. Whole-brain and region of interest analyses described atypical organisation of white matter microstructure in several white matter tracts: most notably in frontostriatal tracts, corpus callosum, superior longitudinal fasciculus, cingulum bundle, thalamic radiations, internal capsule and corona radiata. Connectomic analyses, including graph theory approaches, demonstrated global underconnectivity in connections between functionally specialised networks. Although some studies reported significant correlations between atypical white matter microstructure and ADHD symptoms or other behavioural measures there was no clear pattern of results. Interestingly however, many of the findings of disrupted white matter microstructure were in neural networks associated with key neuropsychological functions that are atypical in ADHD. Limitations to the extant research are outlined in this review and future studies in this area should carefully consider factors such as sample size, sex balance, head motion and medication status.
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Affiliation(s)
| | - Robert Whelan
- Dept of Psychiatry, School of Medicine, Trinity College Dublin, Ireland; School of Psychology, Trinity Dublin, Ireland
| | - Erik O'Hanlon
- Trinity College Institute of Neuroscience, Trinity Dublin, Ireland; Dept of Psychiatry, School of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Jane McGrath
- Dept of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
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20
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Nakajima R, Kinoshita M, Nakada M. Simultaneous Damage of the Cingulate Cortex Zone II and Fronto-Striatal Circuit Causes Prolonged Selective Attentional Deficits. Front Hum Neurosci 2022; 15:762578. [PMID: 35002655 PMCID: PMC8740164 DOI: 10.3389/fnhum.2021.762578] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 12/06/2021] [Indexed: 11/15/2022] Open
Abstract
Selective attention is essential for successful cognitive performance. Although several brain areas are known to be involved in selective attention, damage to some of these areas does not necessarily cause attentional deficits. In the current study, we hypothesized that damage to specific parts of the right cerebral hemisphere, especially the cingulate cortex (CC), causes prolonged selective attentional deficits, and examined the influence of focal brain damage on selective attention. We recruited 36 patients with right cerebral hemispheric WHO grade 2 and 3 brain tumors who underwent surgery. We assessed selective attention over time from pre-operation to 3 months postoperatively using the cancelation test and color Stroop test, and calculated the percentage of deficit. Additionally, two types of imaging analyses were performed: voxel-based lesion symptom mapping (VLSM) and multiple logistic regression analysis, to reveal related brain regions for selective attention. Consequently, we found that the CC and deep part of the middle frontal gyrus were associated with deficits in selective attention via VLSM. Using multiple logistic regression analysis, the CC zone II at the cortical level (p < 0.0001) and the fronto-striatal tract (FST) at the subcortical level (p = 0.0079) were associated with attentional deficit among several regions identified in the VLSM. At 3 months postoperatively, selective attention was impaired in patients who underwent resection of these regions. Moreover, only patients with simultaneous damage of the CC zone II and FST had prolonged attentional deficits until the chronic phase. Our results suggest that the right CC zone II and FST are critical areas for the selective attentional networks.
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Affiliation(s)
- Riho Nakajima
- Department of Occupational Therapy, Faculty of Health Science, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Masashi Kinoshita
- Department of Neurosurgery, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Mitsutoshi Nakada
- Department of Neurosurgery, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
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21
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Xu F, Jin C, Zuo T, Wang R, Yang Y, Wang K. Segmental abnormalities of superior longitudinal fasciculus microstructure in patients with schizophrenia, bipolar disorder, and attention-deficit/hyperactivity disorder: An automated fiber quantification tractography study. Front Psychiatry 2022; 13:999384. [PMID: 36561639 PMCID: PMC9766353 DOI: 10.3389/fpsyt.2022.999384] [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: 07/21/2022] [Accepted: 11/21/2022] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Superior longitudinal fasciculus (SLF) is a white matter (WM) tract that connects the frontal, parietal and temporal lobes. SLF integrity has been widely assessed in neuroimaging studies of psychiatric disorders, such as schizophrenia (SZ), bipolar disorder (BD), and attention-deficit/hyperactivity disorder (ADHD). However, prior studies have revealed inconsistent findings and comparisons across disorders have not been fully examined. METHODS Here, we obtained data for 113 patients (38 patients with SZ, 40 with BD, 35 with ADHD) and 94 healthy controls from the UCLA Consortium for Neuropsychiatric Phenomic LA5c dataset. We assessed the integrity of 20 major WM tracts with a novel segmentation method by automating fiber tract quantification (AFQ). The AFQ divides each tract into 100 equal parts along the direction of travel, with fractional anisotropy (FA) of each part taken as a characteristic. Differences in FA among the four groups were examined. RESULTS Compared to healthy controls, patients with SZ showed significantly lower FA in the second half (51-100 parts) of the SLF. No differences were found between BD and healthy controls, nor between ADHD and healthy controls. Results also demonstrated that patients with SZ showed FA reduction in the second half of the SLF relative to patients with BP. Moreover, greater FA in patients in SLF was positively correlated with the manic-hostility score of the Brief Psychiatry Rating scale. DISCUSSION These findings indicated that differences in focal changes in SLF might be a key neurobiological abnormality contributing to characterization of these psychiatric disorders.
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Affiliation(s)
- Feiyu Xu
- School of Mental Health, Jining Medical University, Jining, China.,Shandong Mental Health Center, Shandong University, Jinan, China
| | - Chengliang Jin
- School of Mental Health, Jining Medical University, Jining, China.,Shandong Mental Health Center, Shandong University, Jinan, China
| | - Tiantian Zuo
- Shandong Mental Health Center, Shandong University, Jinan, China.,Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ruzhan Wang
- Shandong Mental Health Center, Shandong University, Jinan, China
| | - Ying Yang
- Shandong Mental Health Center, Shandong University, Jinan, China.,Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Kangcheng Wang
- School of Psychology, Shandong Normal University, Jinan, China
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22
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ElShahawi HH, Effat SM, Shorab EM, Sakr HM, Azab SE, Aufa OM. Study of white matter integrity in fathers of children with attention deficit hyperactivity disorder. MIDDLE EAST CURRENT PSYCHIATRY 2021. [DOI: 10.1186/s43045-021-00137-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Attention deficit hyperactivity disorder (ADHD) is an early-onset neurodevelopmental disorder that can extend into adulthood with multiple reported neuroimaging abnormalities. The focus of this research was to assess white matter impairments in ADHD children’s fathers with and without potential adult ADHD to see if these differences are connected with the persistence of ADHD into adulthood.
Results
The occurrence rate of the potential adult ADHD diagnosis among fathers of children with ADHD was 60%. There were statistically significant differences between fathers with ADHD and the non-ADHD population, due to the fact that the mean FA of the left superior corona radiata and the right posterior corona radiata were lower in the ADHD group than in the non-ADHD group, while the FA of the ADHD group was significantly greater than that of the non-ADHD group in terms of the left and right anterior thalamic radiations, the right superior longitudinal fasciculus and the left anterior corona radiata.
Conclusions
We observed an increased prevalence of ADHD in fathers of children diagnosed with ADHD. Fathers with potential adult ADHD have a variety of white matter abnormalities that reflect the neurobiological basis of ADHD, even in sub-threshold cases. This may provide insight into the neuroanatomical locations associated with the maintenance of ADHD throughout adulthood.
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23
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Yu Q, Peng Y, Kang H, Peng Q, Ouyang M, Slinger M, Hu D, Shou H, Fang F, Huang H. Differential White Matter Maturation from Birth to 8 Years of Age. Cereb Cortex 2021; 30:2673-2689. [PMID: 31819951 PMCID: PMC7175013 DOI: 10.1093/cercor/bhz268] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 08/23/2019] [Accepted: 09/17/2019] [Indexed: 12/14/2022] Open
Abstract
Comprehensive delineation of white matter (WM) microstructural maturation from birth to childhood is critical for understanding spatiotemporally differential circuit formation. Without a relatively large sample of datasets and coverage of critical developmental periods of both infancy and early childhood, differential maturational charts across WM tracts cannot be delineated. With diffusion tensor imaging (DTI) of 118 typically developing (TD) children aged 0–8 years and 31 children with autistic spectrum disorder (ASD) aged 2–7 years, the microstructure of every major WM tract and tract group was measured with DTI metrics to delineate differential WM maturation. The exponential model of microstructural maturation of all WM was identified. The WM developmental curves were separated into fast, intermediate, and slow phases in 0–8 years with distinctive time period of each phase across the tracts. Shorter periods of the fast and intermediate phases in certain tracts, such as the commissural tracts, indicated faster earlier development. With TD WM maturational curves as the reference, higher residual variance of WM microstructure was found in children with ASD. The presented comprehensive and differential charts of TD WM microstructural maturation of all major tracts and tract groups in 0–8 years provide reference standards for biomarker detection of neuropsychiatric disorders.
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Affiliation(s)
- Qinlin Yu
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yun Peng
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Huiying Kang
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Qinmu Peng
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Minhui Ouyang
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Michelle Slinger
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Di Hu
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Haochang Shou
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, PA, USA
| | - Fang Fang
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China.,Key Laboratory of Machine Perception, Peking University, Beijing 100871, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Hao Huang
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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24
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Li D, Cui X, Yan T, Liu B, Zhang H, Xiang J, Wang B. Abnormal Rich Club Organization in Hemispheric White Matter Networks of ADHD. J Atten Disord 2021; 25:1215-1229. [PMID: 31884863 DOI: 10.1177/1087054719892887] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Objective: Brain network studies have revealed abnormal topology asymmetry of white matter (WM) in ADHD. Recently, rich club organization was proposed to be a key feature of brain network topology. However, abnormalities in the rich club organization of hemispheric WM networks in ADHD remain unclear. Method: Forty ADHD patients and 51 normal controls participated in this study. Structural networks were reconstructed based on diffusion tensor imaging (DTI) and analyzed with graph theory. Results: The two groups exhibited different patterns of asymmetry in connectivity measures of rich club connections. ADHD patients showed more feeder connections than normal controls. Reduced rightward asymmetry was observed in connectivity measures of local connections involving several peripheral regions of the ADHD patients. In addition, abnormal regional asymmetry scores were associated with ADHD symptoms. Conclusion: The topological changes in rich club organization provide a novel insight into the alteration of WM connections in ADHD.
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Affiliation(s)
- Dandan Li
- Taiyuan University of Technology, China
| | | | - Ting Yan
- Shanxi Medical University, Taiyuan, China
| | - Bo Liu
- First Hospital of Shanxi Medical University, Taiyuan, China
| | - Hui Zhang
- First Hospital of Shanxi Medical University, Taiyuan, China
| | - Jie Xiang
- Taiyuan University of Technology, China
| | - Bing Wang
- Taiyuan University of Technology, China
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25
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Saad JF, Griffiths KR, Kohn MR, Braund TA, Clarke S, Williams LM, Korgaonkar MS. No support for white matter connectivity differences in the combined and inattentive ADHD presentations. PLoS One 2021; 16:e0245028. [PMID: 33951031 PMCID: PMC8099057 DOI: 10.1371/journal.pone.0245028] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 03/29/2021] [Indexed: 11/28/2022] Open
Abstract
Evidence from functional neuroimaging studies support neural differences between the Attention Deficit Hyperactivity Disorder (ADHD) presentation types. It remains unclear if these neural deficits also manifest at the structural level. We have previously shown that the ADHD combined, and ADHD inattentive types demonstrate differences in graph properties of structural covariance suggesting an underlying difference in neuroanatomical organization. The goal of this study was to examine and validate white matter brain organization between the two subtypes using both scalar and connectivity measures of brain white matter. We used both tract-based spatial statistical (TBSS) and tractography analyses with network-based Statistics (NBS) and graph-theoretical analyses in a cohort of 35 ADHD participants (aged 8-17 years) defined using DSM-IV criteria as combined (ADHD-C) type (n = 19) or as predominantly inattentive (ADHD-I) type (n = 16), and 28 matched neurotypical controls. We performed TBSS analyses on scalar measures of fractional anisotropy (FA), mean (MD), radial (RD), and axial (AD) diffusivity to assess differences in WM between ADHD types and controls. NBS and graph theoretical analysis of whole brain inter-regional tractography examined connectomic differences and brain network organization, respectively. None of the scalar measures significantly differed between ADHD types or relative to controls. Similarly, there were no tractography connectivity differences between the two subtypes and relative to controls using NBS. Global and regional graph measures were also similar between the groups. A single significant finding was observed for nodal degree between the ADHD-C and controls, in the right insula (corrected p = .029). Our result of no white matter differences between the subtypes is consistent with most previous findings. These findings together might suggest that the white matter structural architecture is largely similar between the DSM-based ADHD presentations is similar to the extent of being undetectable with the current cohort size.
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Affiliation(s)
- Jacqueline F. Saad
- The Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
- Discipline of Psychiatry, Western Clinical School, The University of Sydney, Sydney, Australia
| | - Kristi R. Griffiths
- The Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
| | - Michael R. Kohn
- The Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
- Department of Adolescent and Young Adult Medicine, Centre for Research into Adolescents’ Health, Westmead Hospital, Sydney, New South Wales, Australia
| | - Taylor A. Braund
- The Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
- Discipline of Psychiatry, Western Clinical School, The University of Sydney, Sydney, Australia
| | - Simon Clarke
- The Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
- Department of Adolescent and Young Adult Medicine, Centre for Research into Adolescents’ Health, Westmead Hospital, Sydney, New South Wales, Australia
| | - Leanne M. Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, United States of America
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), VA Palo Alto Health Care System, Palo Alto, California, United States of America
| | - Mayuresh S. Korgaonkar
- The Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
- Discipline of Psychiatry, Western Clinical School, The University of Sydney, Sydney, Australia
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26
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Personality and behavioral changes after brain tumor resection: a lesion mapping study. Acta Neurochir (Wien) 2021; 163:1257-1267. [PMID: 33576912 DOI: 10.1007/s00701-021-04756-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 02/01/2021] [Indexed: 01/20/2023]
Abstract
BACKGROUND Cognitive functioning is generally well preserved in patients with diffuse low-grade glioma (DLGG), even in the case of extended tumor and resection. To date, the question of personality changes in these patients has received little attention. Our aim was to investigate to what extent certain aspects of personality and behaviors could be affected by DLGG resection. METHODS We used self-reported personality questionnaires (NOEPI-R and TCI-R) and hetero-evaluation of executive behavioral changes in a large sample of 98 patients operated on for DLGG. To compare the patients' scores from the personality questionnaires, we recruited 47 healthy controls participants. To identify the putative neural networks associated with behavioral changes, a combination of voxel-wise and tract-wise lesion-symptom mapping was performed. RESULTS First, results revealed no difference between patients and controls for each subdimension of the NOEPI-R. Regarding the TCI-R, the character dimensions and three out of four temperament dimensions did not differ. Second, behavioral changes (Irritability, Hypoactivity, Anticipative disorders, and disinterest) were reported between 40 and 50% of cases. Third, some personality dimensions (as neuroticism) were strongly predictive of postoperative behavioral disorders (as hypoactivity). Lastly, specific behavioral changes were associated with selective damage to cortical (left inferior frontal gyrus, supplementary motor area, and right fusiform gyrus) and white matter (left inferior fronto-occipital and uncinate fasciculi, right cingulum) structures. CONCLUSION This study demonstrates that extensive lesions caused by DLGGs and their surgical resection have no or minor impact on patients' personality. However, specific personality dimensions are strongly predictive of behavioral disorders suggesting that the observed surgically related behavioral changes are modulated by the personality profile. Finally, the lesion mapping analyses indicate that damage to differential cortical or white matter structures leads to distinct patterns of behavioral abnormalities.
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27
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Detecting microstructural white matter abnormalities of frontal pathways in children with ADHD using advanced diffusion models. Brain Imaging Behav 2021; 14:981-997. [PMID: 31041662 DOI: 10.1007/s11682-019-00108-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Studies using diffusion tensor imaging (DTI) have documented alterations in the attention and executive system in children and adolescents with attention-deficit/hyperactivity disorder (ADHD). While abnormalities in the frontal lobe have also been reported, the associated white matter fiber bundles have not been investigated comprehensively due to the complexity in tracing them through fiber crossings. Furthermore, most studies have used a non-specific DTI model to understand white matter abnormalities. We present results from a first study that uses a multi-shell diffusion MRI (dMRI) data set coupled with an advanced multi-fiber tractography algorithm to probe microstructural measures related to axonal/cellular density and volume of fronto-striato-thalamic pathways in children with ADHD (N = 30) and healthy controls (N = 28). Head motion was firstly examined as a priority in order to assure that no group difference existed. We investigated 45 different white matter fiber bundles in the brain. After correcting for multiple comparisons, we found lower axonal/cellular packing density and volume in ADHD children in 8 of the 45 fiber bundles, primarily in the right hemisphere as follows: 1) Superior longitudinal fasciculus-II (SLF-II) (right), 2) Thalamus to precentral gyrus (right), 3) Thalamus to superior-frontal gyrus (right), 4) Caudate to medial orbitofrontal gyrus (right), 5) Caudate to precentral gyrus (right), 6) Thalamus to paracentral gyrus (left), 7) Caudate to caudal middlefrontal gyrus (left), and 8) Cingulum (bilateral). Our results demonstrate reduced axonal/cellular density and volume in certain frontal lobe white matter fiber tracts, which sub-serve the attention function and executive control systems. Further, our work shows specific microstructural abnormalities in the striato-thalamo-cortical connections, which have not been previously reported in children with ADHD.
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28
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Yoo JH, Kim JI, Kim BN, Jeong B. Exploring characteristic features of attention-deficit/hyperactivity disorder: findings from multi-modal MRI and candidate genetic data. Brain Imaging Behav 2021; 14:2132-2147. [PMID: 31321662 DOI: 10.1007/s11682-019-00164-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The current study examined whether machine learning features best distinguishing attention-deficit/hyperactivity disorder (ADHD) from typically developing children (TDC) can explain clinical phenotypes using multi-modal neuroimaging and genetic data. Cortical morphology, diffusivity scalars, resting-state functional connectivity and polygenic risk score (PS) from norepinephrine, dopamine and glutamate genes were extracted from 47 ADHD and 47 matched TDC. Using random forests, classification accuracy was measured for each uni- and multi-modal model. The optimal model was used to explain symptom severity or task performance and its robustness was validated in the independent dataset including 18 ADHD and 18 TDC. The model consisting of cortical thickness and volume features achieved the best accuracy of 85.1%. Morphological changes across insula, sensory/motor, and inferior frontal cortex were also found as key predictors. Those explained 18.0% of ADHD rating scale, while dynamic regional homogeneity within default network explained 6.4% of the omission errors in continuous performance test. Ensemble of PS to optimal model showed minor effect on accuracy. Validation analysis achieved accuracy of 69.4%. Current findings suggest that structural deformities relevant to salience detection, sensory processing, and response inhibition may be robust classifiers and symptom predictors of ADHD. Altered local functional connectivity across default network predicted attentional lapse. However, further investigation is needed to clarify roles of genetic predisposition.
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Affiliation(s)
- Jae Hyun Yoo
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Johanna Inhyang Kim
- Department of Psychiatry, Hanyang University Medical Center, 222-1 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Bung-Nyun Kim
- Division of Child and Adolescent Psychiatry, Department of Neuropsychiatry, Seoul National University Hospital College of Medicine, 101 Daehak-no, Chongno-gu, Seoul, 03080, Republic of Korea.
| | - Bumseok Jeong
- Laboratory of Computational Affective Neuroscience and Development, Graduate School of Medical Science and Engineering, Korea Advanced Institute for Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea. .,KI for Health Science and Technology, KAIST Institute, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea.
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29
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Wang C, Wang S, Huang P, Shen Z, Qian W, Luo X, Li K, Zeng Q, Gu Q, Yu H, Yang Y, Zhang M. Abnormal white matter tracts of insula in smokers. Brain Imaging Behav 2020; 15:1955-1965. [PMID: 32974850 DOI: 10.1007/s11682-020-00389-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/31/2020] [Indexed: 11/26/2022]
Abstract
Nicotine addiction is characterized as a neural circuit dysfunction, particularly with regard to the alterations in central reward pathways. The insula, a cortical region that is thought to play a central role in this reward circuitry, has been implicated in the maintenance of nicotine addiction. However, it remains largely unclear about the white matter (WM) microstructural alterations of insula in nicotine addiction and whether the WM alterations of insula could predict smoking cessation outcomes. In this study, 58 male nicotine-dependent smokers and 34 matched male nonsmoking controls were recruited. After a 12-week smoking cessation treatment with varenicline, 38 smokers relapsed, and 20 did not relapse. Diffusion tensor imaging and probabilistic tractography were used to investigate the differences of WM tracts of insula between smokers and nonsmokers. Relative to nonsmokers, in the left hemisphere, smokers showed lower fractional anisotropy (FA) in the fiber tracts of anterior insula cortex-to-nucleus accumbens and posterior insula cortex-to-nucleus accumbens; in the right hemisphere, smokers showed higher FA, and lower axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD) in the fiber tracts of anterior insula cortex-to-medial orbitofrontal cortex, posterior insula cortex-to-medial orbitofrontal cortex, and posterior insula cortex-to-nucleus accumbens. However, there were no differences of WM diffusion properties between relapsers and nonrelapsers. This study is the first using probabilistic tractography to exclusively clarify the precise roles of insular WM tracts in smokers, which may provide new insights into the underlying neurobiology of nicotine addiction.
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Affiliation(s)
- Chao Wang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Shuyue Wang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Zhujing Shen
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Qian
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Quanquan Gu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hualiang Yu
- Department of Psychiatry, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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30
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Liu YX, Li B, Wu KR, Tang LY, Lin Q, Li QH, Yuan Q, Shi WQ, Liang RB, Ge QM, Shao Y. Altered white matter integrity in patients with monocular blindness: A diffusion tensor imaging and tract-based spatial statistics study. Brain Behav 2020; 10:e01720. [PMID: 32558355 PMCID: PMC7428480 DOI: 10.1002/brb3.1720] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 02/28/2020] [Accepted: 03/03/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Visual deprivation can lead to abnormal and plastic changes in the brain's visual system and other systems. Although the secondary changes of gray matter in patients have been well studied, the study of white matter is rare. In fact, subtle changes in white matter may be revealed by diffusion tensor imaging, and tract-based spatial statistics can be used to analyze DTI image data. PURPOSE In the present study, diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS) were used to investigate abnormal structural changes in the white matter (WM) of patients with monocular blindness (MB). METHODS We recruited 16 healthy controls (HC) (fourteen males and two females) and 16 patients (fifteen males and one female) with right-eye blindness (without differences in left-eye vision). All patients were of similar age. Data acquisition was performed using magnetic resonance imaging (MRI) and DTI. Voxel-based whole brain comparisons of fractional anisotropy (FA) and radial diffusivity (RD) of WM fibers in patients and HC were performed using the TBSS method. The mean FA and RD values for altered brain regions in MB patients were analyzed via the receiver operating characteristic (ROC) curve. Correlation analysis was performed to investigate the relationships between the average FA (RD) value of the whole brain and anxiety score, depression score, and visual function questionnaire score in MB patients. RESULTS In MB patients, the mean FA of the whole brain was decreased versus HC. Moreover, the FA values of the corpus callosum, the corona radiata, the posterior thalamic radiation, and the right retrolenticular part of internal capsule were significantly decreased. In addition, the average RD value of the whole brain in MB patients was higher than that observed in HC. The mean FA and RD values of brain regions were analyzed using the ROC curve, and the results showed that the area under the ROC curve was more accurate. Furthermore, the average FA and RD values of the whole brain were significantly correlated with anxiety score, depression score, and visual function-related quality of life score. CONCLUSION DTI and TBSS may be useful in examining abnormal spontaneous alterations in the WM of MB patients. The observed changes in FA and RD values may imply the larvaceous neurological mechanism involved in MB.
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Affiliation(s)
- Yu-Xin Liu
- Department of Ophthalmology, Jiangxi Province Clinical Ophthalmology Institute, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Biao Li
- Department of Ophthalmology, Jiangxi Province Clinical Ophthalmology Institute, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Kang-Rui Wu
- Department of Ophthalmology, Jiangxi Province Clinical Ophthalmology Institute, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Li-Ying Tang
- Department of Ophthalmology, Xiang'an Hospital of Xiamen University, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University, Xiamen University School of Medicine, Xiamen, China
| | - Qi Lin
- Department of Ophthalmology, Jiangxi Province Clinical Ophthalmology Institute, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qing-Hai Li
- Department of Ophthalmology, Jiangxi Province Clinical Ophthalmology Institute, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qing Yuan
- Department of Ophthalmology, Jiangxi Province Clinical Ophthalmology Institute, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wen-Qing Shi
- Department of Ophthalmology, Jiangxi Province Clinical Ophthalmology Institute, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Rong-Bin Liang
- Department of Ophthalmology, Jiangxi Province Clinical Ophthalmology Institute, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qian-Min Ge
- Department of Ophthalmology, Jiangxi Province Clinical Ophthalmology Institute, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yi Shao
- Department of Ophthalmology, Jiangxi Province Clinical Ophthalmology Institute, The First Affiliated Hospital of Nanchang University, Nanchang, China
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Bu X, Liang K, Lin Q, Gao Y, Qian A, Chen H, Chen W, Wang M, Yang C, Huang X. Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder. Brain Commun 2020; 2:fcaa113. [PMID: 33215081 PMCID: PMC7660033 DOI: 10.1093/braincomms/fcaa113] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 06/22/2020] [Accepted: 06/26/2020] [Indexed: 02/05/2023] Open
Abstract
Attention-deficit/hyperactivity disorder has been identified to involve the impairment of large-scale functional networks within grey matter, and recent studies have suggested that white matter, which also encodes neural activity, can manifest intrinsic functional organization similar to that of grey matter. However, the alterations in white matter functional networks in attention-deficit/hyperactivity disorder remain unknown. We recruited a total of 99 children, including 66 drug-naive patients and 33 typically developing controls aged from 6 to 14, to characterize the alterations in functional networks within white matter in drug-naive children with attention-deficit/hyperactivity disorder. Using clustering analysis, resting-state functional MRI data in the white matter were parsed into different networks. Intrinsic activity within each network and connectivity between networks and the associations between network activity strength and clinical symptoms were assessed. We identified eight distinct white matter functional networks: the default mode network, the somatomotor network, the dorsal attention network, the ventral attention network, the visual network, the deep frontoparietal network, the deep frontal network and the inferior corticospinal-posterior cerebellum network. The default mode, somatomotor, dorsal attention and ventral attention networks showed lower spontaneous neural activity in patients. In particular, the default mode network and the somatomotor network largely showed higher connectivity with other networks, which correlated with more severe hyperactive behaviour, while the dorsal and ventral attention networks mainly had lower connectivity with other networks, which correlated with poor attention performance. In conclusion, there are two distinct patterns of white matter functional networks in children with attention-deficit/hyperactivity disorder, with one being the hyperactivity-related hot networks including default mode network and somatomotor network and the other being inattention-related cold networks including dorsal attention and ventral attention network. These results extended upon our understanding of brain functional networks in attention-deficit/hyperactivity disorder from the perspective of white matter dysfunction.
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Affiliation(s)
- Xuan Bu
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Kaili Liang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Qingxia Lin
- Department of Psychiatry, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325003, China
| | - Yingxue Gao
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Andan Qian
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325003, China
| | - Hong Chen
- Department of Psychiatry, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325003, China
| | - Wanying Chen
- Department of Psychiatry, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325003, China
| | - Meihao Wang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325003, China
| | - Chuang Yang
- Department of Psychiatry, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325003, China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
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Henriquez-Henriquez M, Acosta MT, Martinez AF, Vélez JI, Lopera F, Pineda D, Palacio JD, Quiroga T, Worgall TS, Deckelbaum RJ, Mastronardi C, Molina BSG, Arcos-Burgos M, Muenke M. Mutations in sphingolipid metabolism genes are associated with ADHD. Transl Psychiatry 2020; 10:231. [PMID: 32661301 PMCID: PMC7359313 DOI: 10.1038/s41398-020-00881-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 05/28/2020] [Accepted: 06/03/2020] [Indexed: 12/31/2022] Open
Abstract
Attention deficit hyperactivity disorder (ADHD) is the most prevalent neurodevelopmental disorder in children, with genetic factors accounting for 75-80% of the phenotypic variance. Recent studies have suggested that ADHD patients might present with atypical central myelination that can persist into adulthood. Given the essential role of sphingolipids in myelin formation and maintenance, we explored genetic variation in sphingolipid metabolism genes for association with ADHD risk. Whole-exome genotyping was performed in three independent cohorts from disparate regions of the world, for a total of 1520 genotyped subjects. Cohort 1 (MTA (Multimodal Treatment study of children with ADHD) sample, 371 subjects) was analyzed as the discovery cohort, while cohorts 2 (Paisa sample, 298 subjects) and 3 (US sample, 851 subjects) were used for replication. A set of 58 genes was manually curated based on their roles in sphingolipid metabolism. A targeted exploration for association between ADHD and 137 markers encoding for common and rare potentially functional allelic variants in this set of genes was performed in the screening cohort. Single- and multi-locus additive, dominant and recessive linear mixed-effect models were used. During discovery, we found statistically significant associations between ADHD and variants in eight genes (GALC, CERS6, SMPD1, SMPDL3B, CERS2, FADS3, ELOVL5, and CERK). Successful local replication for associations with variants in GALC, SMPD1, and CERS6 was demonstrated in both replication cohorts. Variants rs35785620, rs143078230, rs398607, and rs1805078, associated with ADHD in the discovery or replication cohorts, correspond to missense mutations with predicted deleterious effects. Expression quantitative trait loci analysis revealed an association between rs398607 and increased GALC expression in the cerebellum.
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Affiliation(s)
- Marcela Henriquez-Henriquez
- Department of Clinical Laboratories, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- ELSA Clinical Laboratories (IntegraMedica, part of Bupa), Santiago de Chile, Chile
| | - Maria T Acosta
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ariel F Martinez
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Francisco Lopera
- Neuroscience Research Group, University of Antioquia, Medellin, Colombia
| | - David Pineda
- Neuroscience Research Group, University of Antioquia, Medellin, Colombia
| | - Juan D Palacio
- Neuroscience Research Group, University of Antioquia, Medellin, Colombia
| | - Teresa Quiroga
- Department of Clinical Laboratories, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Tilla S Worgall
- Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
| | - Richard J Deckelbaum
- Department of Pediatrics, Institute of Human Nutrition, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Claudio Mastronardi
- Neuroscience Group (NeurUROS), Institute of Translational Medicine, School of Medicine and Health Sciences, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Brooke S G Molina
- Departments of Psychiatry, Psychology, and Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mauricio Arcos-Burgos
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Instituto de Investigaciones Me´dicas, Facultad de Medicina, Universidad de Antioquia, Medelli´n, Colombia.
| | - Maximilian Muenke
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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Altınkaynak M, Dolu N, Güven A, Pektaş F, Özmen S, Demirci E, İzzetoğlu M. Diagnosis of Attention Deficit Hyperactivity Disorder with combined time and frequency features. Biocybern Biomed Eng 2020. [DOI: 10.1016/j.bbe.2020.04.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Ho TC, Colich NL, Sisk LM, Oskirko K, Jo B, Gotlib IH. Sex differences in the effects of gonadal hormones on white matter microstructure development in adolescence. Dev Cogn Neurosci 2020; 42:100773. [PMID: 32452463 PMCID: PMC7058897 DOI: 10.1016/j.dcn.2020.100773] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Revised: 01/27/2020] [Accepted: 02/13/2020] [Indexed: 11/17/2022] Open
Abstract
Adolescence is characterized by rapid brain development in white matter (WM) that is attributed in part to surges in gonadal hormones. To date, however, there have been few longitudinal investigations relating changes in gonadal hormones and WM development in adolescents. We acquired diffusion-weighted MRI to estimate mean fractional anisotropy (FA) from 10 WM tracts and salivary testosterone from 51 females and 29 males (ages 9-14 years) who were matched on pubertal stage and followed, on average, for 2 years. We tested whether interactions between sex and changes in testosterone levels significantly explained changes in FA. We found positive associations between changes in testosterone and changes in FA within the corpus callosum, cingulum cingulate, and corticospinal tract in females (all ps<0.05, corrected) and non-significant associations in males. We also collected salivary estradiol from females and found that increases in estradiol were associated with increases in FA in the left uncinate fasciculus (p = 0.04, uncorrected); however, this effect was no longer significant after accounting for changes in testosterone. Our findings indicate there are sex differences in how changes in testosterone relate to changes in WM microstructure of tracts that support impulse control and emotion regulation across the pubertal transition.
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Affiliation(s)
- Tiffany C Ho
- Stanford University, Department of Psychology, Stanford, CA, United States; Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford, CA, United States; University of California, San Francisco, Department of Psychiatry & Weill Institute for Neurosciences, San Francisco, CA, United States.
| | - Natalie L Colich
- University of Washington, Department of Psychology, Seattle, WA, United States
| | - Lucinda M Sisk
- Stanford University, Department of Psychology, Stanford, CA, United States; Yale University, Department of Psychology, New Haven, CT, United States
| | - Kira Oskirko
- Stanford University, Department of Psychology, Stanford, CA, United States
| | - Booil Jo
- Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford, CA, United States
| | - Ian H Gotlib
- Stanford University, Department of Psychology, Stanford, CA, United States
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Fellah S, Cheung YT, Scoggins MA, Zou P, Sabin ND, Pui CH, Robison LL, Hudson MM, Ogg RJ, Krull KR. Brain Activity Associated With Attention Deficits Following Chemotherapy for Childhood Acute Lymphoblastic Leukemia. J Natl Cancer Inst 2020; 111:201-209. [PMID: 29790971 DOI: 10.1093/jnci/djy089] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 03/22/2018] [Accepted: 04/17/2018] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The impact of contemporary chemotherapy treatment for childhood acute lymphoblastic leukemia on central nervous system activity is not fully appreciated. METHODS Neurocognitive testing and functional magnetic resonance imaging (fMRI) were obtained in 165 survivors five or more years postdiagnosis (average age = 14.4 years, 7.7 years from diagnosis, 51.5% males). Chemotherapy exposure was measured as serum concentration of methotrexate following high-dose intravenous injection. Neurocognitive testing included measures of attention and executive function. fMRI was obtained during completion of two tasks, the continuous performance task (CPT) and the attention network task (ANT). Image analysis was performed using Statistical Parametric Mapping software, with contrasts targeting sustained attention, alerting, orienting, and conflict. All statistical tests were two-sided. RESULTS Compared with population norms, survivors demonstrated impairment on number-letter switching (P < .001, a measure of cognitive flexibility), which was associated with treatment intensity (P = .048). Task performance during fMRI was associated with neurocognitive dysfunction across multiple tasks. Regional brain activation was lower in survivors diagnosed at younger ages for the CPT (bilateral parietal and temporal lobes) and the ANT (left parietal and right hippocampus). With higher serum methotrexate exposure, CPT activation decreased in the right temporal and bilateral frontal and parietal lobes, but ANT alerting activation increased in the ventral frontal, insula, caudate, and anterior cingulate. CONCLUSIONS Brain activation during attention and executive function tasks was associated with serum methotrexate exposure and age at diagnosis. These findings provide evidence for compromised and compensatory changes in regional brain function that may help clarify the neural substrates of cognitive deficits in acute lymphoblastic leukemia survivors.
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Affiliation(s)
- Slim Fellah
- Departments of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN
| | - Yin T Cheung
- Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN
| | - Matthew A Scoggins
- Departments of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN
| | - Ping Zou
- Departments of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN
| | - Noah D Sabin
- Departments of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN
| | - Ching-Hon Pui
- Oncology, St. Jude Children's Research Hospital, Memphis, TN
| | - Leslie L Robison
- Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN
| | - Melissa M Hudson
- Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN.,Oncology, St. Jude Children's Research Hospital, Memphis, TN
| | - Robert J Ogg
- Departments of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN
| | - Kevin R Krull
- Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN
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Maurer JM, Paul S, Anderson NE, Nyalakanti PK, Kiehl KA. Youth with elevated psychopathic traits exhibit structural integrity deficits in the uncinate fasciculus. Neuroimage Clin 2020; 26:102236. [PMID: 32182577 PMCID: PMC7076567 DOI: 10.1016/j.nicl.2020.102236] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 03/02/2020] [Accepted: 03/03/2020] [Indexed: 01/09/2023]
Abstract
Youth with elevated psychopathic traits represent a particularly severe subgroup of adolescents characterized by extreme behavioral problems and exhibit comparable neurocognitive deficits as adult offenders with psychopathic traits. A consistent finding among adults with elevated psychopathic traits is reduced white matter structural integrity of the right uncinate fasciculus (UF). The UF is a major white matter tract that connects regions of the anterior temporal lobe (i.e., the amygdala) to higher-order executive control regions, including the ventromedial prefrontal cortex. However, the relationship between youth psychopathic traits and structural integrity of the UF has been mixed, with some studies identifying a negative relationship between adolescent psychopathy scores and FA in the UF, and others identifying a positive relationship. Here, we investigated structural integrity of the left and right UF using fractional anisotropy (FA) in a large sample of n = 254 male adolescent offenders recruited from maximum-security juvenile correctional facilities. Psychopathic traits were assessed using the Hare Psychopathy Checklist: Youth Version (PCL:YV). Consistent with hypotheses, interpersonal and affective traits (i.e., PCL:YV Factor 1 and Facet 1 scores) were associated with reduced FA in the right UF. Additionally, lifestyle traits (i.e., PCL:YV Facet 3 scores) were associated with increased FA in the left UF. Results are consistent with previously published studies reporting reduced FA in the right UF in adult psychopathic offenders and increased left UF FA in youth meeting criteria for certain externalizing disorders.
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Affiliation(s)
- J Michael Maurer
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA; The Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, NM, USA.
| | - Subhadip Paul
- The Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, NM, USA
| | - Nathaniel E Anderson
- The Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, NM, USA
| | - Prashanth K Nyalakanti
- The Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, NM, USA
| | - Kent A Kiehl
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA; The Mind Research Network (MRN) & Lovelace Biomedical and Environmental Research Institute (LBERI), Albuquerque, NM, USA.
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37
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Bu X, Yang C, Liang K, Lin Q, Lu L, Zhang L, Li H, Gao Y, Tang S, Hu X, Wang Y, Hu X, Wang M, Huang X. Quantitative tractography reveals changes in the corticospinal tract in drug-naïve children with attention-deficit/hyperactivity disorder. J Psychiatry Neurosci 2020; 45:134-141. [PMID: 31765114 PMCID: PMC7828908 DOI: 10.1503/jpn.190024] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The specific role of the corticospinal tract with respect to inattention and impulsive symptoms in children with attention-deficit/hyperactivity disorder (ADHD) has been explored in the past. However, to our knowledge, no study has identified the exact regions of the corticospinal tract that are affected in ADHD. We aimed to determine comprehensive alterations in the white matter microstructure of the corticospinal tract and underlying neuropsychological substrates in ADHD. METHODS We recruited 38 drug-naïve children with ADHD and 34 typically developing controls. We employed a tract-based quantitative approach to measure diffusion parameters along the trajectory of the corticospinal tract, and we further correlated alterations with attention and response inhibition measures. RESULTS Compared with controls, children with ADHD demonstrated significantly lower fractional anisotropy and higher radial diffusivity at the level of cerebral peduncle, and higher fractional anisotropy at the level of the posterior limb of the internal capsule in the right corticospinal tract only. As well, increased fractional anisotropy in the posterior limb of the internal capsule was negatively correlated with continuous performance test attention quotients and positively correlated with reaction time on the Stroop Colour–Word Test; increased radial diffusivity in the right peduncle region was positively correlated with omissions in the Stroop test. LIMITATIONS The sample size was relatively small. Moreover, we did not consider the different subtypes of ADHD and lacked sufficient power to analyze subgroup differences. Higher-order diffusion modelling is needed in future white matter studies. CONCLUSION We demonstrated specific changes in the right corticospinal tract in children with ADHD. Correlations with measures of attention and response inhibition underscored the functional importance of corticospinal tract disturbance in ADHD.
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Affiliation(s)
- Xuan Bu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Chuang Yang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Kaili Liang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Qingxia Lin
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Lu Lu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Lianqing Zhang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Hailong Li
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Yingxue Gao
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Shi Tang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Xiaoxiao Hu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Yanlin Wang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Xinyu Hu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Meihao Wang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Xiaoqi Huang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
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Tokariev M, Vuontela V, Lönnberg P, Lano A, Perkola J, Wolford E, Andersson S, Metsäranta M, Carlson S. Altered working memory-related brain responses and white matter microstructure in extremely preterm-born children at school age. Brain Cogn 2019; 136:103615. [PMID: 31563082 DOI: 10.1016/j.bandc.2019.103615] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/10/2019] [Accepted: 09/13/2019] [Indexed: 11/28/2022]
Abstract
Preterm birth poses a risk for neurocognitive and behavioral development. Preterm children, who have not been diagnosed with neurological or cognitive deficits, enter normal schools and are expected to succeed as their term-born peers. Here we tested the hypotheses that despite an uneventful development after preterm birth, these children might exhibit subtle abnormalities in brain function and white-matter microstructure at school-age. We recruited 7.5-year-old children born extremely prematurely (<28 weeks' gestation), and age- and gender-matched term-born controls (≥37 weeks' gestation). We applied fMRI during working-memory (WM) tasks, and investigated white-matter microstructure with diffusion tensor imaging. Compared with controls, preterm-born children performed WM tasks less accurately, had reduced activation in several right prefrontal areas, and weaker deactivation of right temporal lobe areas. The weaker prefrontal activation correlated with poorer WM performance. Preterm-born children had higher fractional anisotropy (FA) and lower diffusivity than controls in several white-matter areas, and in the posterior cerebellum, the higher FA associated with poorer visuospatial test scores. In controls, higher FA and lower diffusivity correlated with faster WM performance. Together these findings demonstrate weaker WM-related brain activations and altered white matter microstructure in children born extremely preterm, who had normal global cognitive ability.
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Affiliation(s)
- Maksym Tokariev
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland; Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Virve Vuontela
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland; Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Piia Lönnberg
- Department of Child Neurology, Children's Hospital, Pediatric Research Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Aulikki Lano
- Department of Child Neurology, Children's Hospital, Pediatric Research Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jaana Perkola
- Department of Clinical Neurophysiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Elina Wolford
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Sture Andersson
- Department of Pediatrics, Children's Hospital, Pediatric Research Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Marjo Metsäranta
- Department of Pediatrics, Children's Hospital, Pediatric Research Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Synnöve Carlson
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland; Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Advanced Magnetic Imaging Centre, Aalto University School of Science, Espoo, Finland.
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Preterm birth subtypes, placental pathology findings, and risk of neurodevelopmental disabilities during childhood. Placenta 2019; 83:17-25. [PMID: 31477202 DOI: 10.1016/j.placenta.2019.06.374] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Revised: 05/24/2019] [Accepted: 06/14/2019] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Preterm birth (PTB) and in-utero inflammation are recognized risk factors of neurodevelopmental disabilities (NDDs); however, their combined role in NDDs is unknown. We examined the independent and joint association of PTB and placental histological findings with the childhood risk of NDDs (overall and by subgroups including autism spectrum disorder (ASD) and ADHD). METHODS We analyzed data from the Boston Birth Cohort, where mother-infant pairs were enrolled at birth and followed from birth onwards. Birth outcomes, placental pathology and NDDs were obtained from electronic medical records. Placental pathology was categorized using a standardized classification system proposed by the Amsterdam Placental Workshop Group. RESULTS PTB (all, including spontaneous, medically indicated) was an independent risk factor for NDDs. Placental histological chorioamnionitis (CA) and PTB additively increased the odds of NDDs (aOR: 2.16, 95% CI: 1.37, 3.39), as well as ADHD (aOR: 2.75, 95% CI: 1.55, 4.90), other developmental disabilities (aOR: 1.96, 95% CI: 1.18, 3.25) and possibly ASD (aOR: 2.31, 95% CI: 0.99, 5.39). The above associations were more pronounced in spontaneous than medically indicated PTB. PTB alone in the absence of CA only had a moderate association with ASD and ADHD. Placental maternal vascular malperfusion alone or in combination with PTB was not associated with the risk of NDDs. DISCUSSION Our study provided new insights on PTB and NDDs by further considering preterm subtypes and placental histology. We revealed that children of spontaneous PTB along with histological CA were at the highest risk for a spectrum of NDDs.
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Varela Casal P, Lorena Esposito F, Morata Martínez I, Capdevila A, Solé Puig M, de la Osa N, Ezpeleta L, Perera I Lluna A, Faraone SV, Ramos-Quiroga JA, Supèr H, Cañete J. Clinical Validation of Eye Vergence as an Objective Marker for Diagnosis of ADHD in Children. J Atten Disord 2019; 23:599-614. [PMID: 29357741 DOI: 10.1177/1087054717749931] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE ADHD youth show poor oculomotor control. Recent research shows that attention-related eye vergence is weak in ADHD children. METHOD To validate vergence as a marker to classify ADHD, we assessed the modulation in the angle of vergence of children ( n = 43) previously diagnosed with ADHD while performing an attention task and compared the results with age-matched clinical controls ( n = 19) and healthy peers ( n = 30). RESULTS We observed strong vergence responses in healthy participants and weak vergence in the clinical controls. ADHD children showed no significant vergence responses. Machine-learning models classified ADHD patients ( n = 21) from healthy controls ( n = 21) with an accuracy of 96.3% (false positive [FP]: 5.12%; false negative [FN]: 0%; area under the curve [AUC]: 0.99) and ADHD children ( n = 11) from clinical controls ( n = 14) with an accuracy of 85.7% (FP: 4.5%; FN: 19.2%, AUC: 0.90). CONCLUSION In combination with an attention task, vergence responses can be used as an objective marker to detect ADHD in children.
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Affiliation(s)
- Paloma Varela Casal
- 1 Departament of Psychiatry, Hospital de Mataró, Barcelona, Spain.,2 Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Spain
| | | | | | - Alba Capdevila
- 1 Departament of Psychiatry, Hospital de Mataró, Barcelona, Spain
| | | | - Núria de la Osa
- 6 Departament de Psicologia Clínica i de la Salud, Universitat Autònoma de Barcelona, Spain
| | - Lourdes Ezpeleta
- 6 Departament de Psicologia Clínica i de la Salud, Universitat Autònoma de Barcelona, Spain
| | | | | | - Josep Antoni Ramos-Quiroga
- 2 Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Spain.,8 Hospital Universitari Vall d'Hebron, Barcelona, Spain.,9 Biomedical Network Research Centre on Mental Health, Barcelona, Spain
| | - Hans Supèr
- 3 University of Barcelona, Spain.,4 Braingaze SL, Mataró, Spain.,10 Institut de Neurociències, Universitat de Barcelona, Spain ( www.ir3c.ub.edu ).,12 Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Jose Cañete
- 1 Departament of Psychiatry, Hospital de Mataró, Barcelona, Spain
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Humphreys KL, Watts EL, Dennis EL, King LS, Thompson PM, Gotlib IH. Stressful Life Events, ADHD Symptoms, and Brain Structure in Early Adolescence. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2019; 47:421-432. [PMID: 29785533 PMCID: PMC6249129 DOI: 10.1007/s10802-018-0443-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
Despite a growing understanding that early adversity in childhood broadly affects risk for psychopathology, the contribution of stressful life events to the development of symptoms of attention-deficit/hyperactivity disorder (ADHD) is not clear. In the present study, we examined the association between number of stressful life events experienced and ADHD symptoms, assessed using the Attention Problems subscale of the Child Behavior Checklist, in a sample of 214 children (43% male) ages 9.11-13.98 years (M = 11.38, SD = 1.05). In addition, we examined whether the timing of the events (i.e., onset through age 5 years or after age 6 years) was associated with ADHD symptoms. Finally, we examined variation in brain structure to determine whether stressful life events were associated with volume in brain regions that were found to vary as a function of symptoms of ADHD. We found a small to moderate association between number of stressful life events and ADHD symptoms. Although the strength of the associations between number of events and ADHD symptoms did not differ as a function of the age of occurrence of stressful experiences, different brain regions were implicated in the association between stressors and ADHD symptoms in the two age periods during which stressful life events occurred. These findings support the hypothesis that early adversity is associated with ADHD symptoms, and provide insight into possible brain-based mediators of this association.
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Affiliation(s)
| | - Emily L Watts
- Department of Psychiatry, New York University School of Medicine, New York, NY, USA
| | - Emily L Dennis
- Imaging Genetics Center, Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lucy S King
- Department of Psychology, Stanford University, Stanford, CA, 94305, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mary and Mark Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ian H Gotlib
- Department of Psychology, Stanford University, Stanford, CA, 94305, USA
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Borlase N, Melzer TR, Eggleston MJF, Darling KA, Rucklidge JJ. Resting-state networks and neurometabolites in children with ADHD after 10 weeks of treatment with micronutrients: results of a randomised placebo-controlled trial. Nutr Neurosci 2019; 23:876-886. [PMID: 30821654 DOI: 10.1080/1028415x.2019.1574329] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Children with attention-deficit/hyperactivity disorder (ADHD) show significant abnormalities on MR imaging in network communication and connectivity. The prefrontal-striatal-cerebella circuitry, involved in attention is particularly disrupted. Neurometabolites, the biochemical structures that support neurological structural integrity, particularly in the prefrontal cortex and striatum are associated with symptoms. This study aimed to explore changes in neurometabolite levels through treatment with vitamins and minerals (micronutrients), hypothesising that treatment would impact neural circuitry and correspond to a reduction in symptoms. Twenty-seven non-medicated children (M = 10.75 years) with DSM5 diagnosed ADHD were randomised to receive daily micronutrients or placebo for 10 weeks. Main outcome measures included the Clinical Global Impression-Improvement Scale and ADHD-RS-IV Clinician Ratings of ADHD symptoms. Magnetic resonance spectroscopy of the bilateral pre-frontal cortex and bilateral striatum, resting state fMRI and structural images were acquired 1 week pre-treatment, and in the last week of intervention. Results did not show any significant differences in the measured brain metrics and the levels of neurometabolites between treatment and placebo groups after ten weeks of treatment with micronutrients. In the treatment group there was a trend for: decreased choline in the striatum; decreased glutamate in the prefrontal cortex; increased grey matter in the anterior thalamus; increased white matter in the fornix and improved network integrity of the default mode network, dorsal attention network and frontal executive network. The small sample size of the current study limits results, future studies with higher power are warranted to explore any association between micronutrient treatment and neurological changes.
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Affiliation(s)
- Nadia Borlase
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Psychology, University of Canterbury, Christchurch, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Matthew J F Eggleston
- Child and Family North Community and Outreach Team, Canterbury District Health Board, Christchurch, New Zealand
| | - Kathryn A Darling
- Department of Psychology, University of Canterbury, Christchurch, New Zealand
| | - Julia J Rucklidge
- Department of Psychology, University of Canterbury, Christchurch, New Zealand
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Bessette KL, Stevens MC. Neurocognitive Pathways in Attention-Deficit/Hyperactivity Disorder and White Matter Microstructure. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:233-242. [PMID: 30478002 PMCID: PMC6549508 DOI: 10.1016/j.bpsc.2018.09.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 09/18/2018] [Accepted: 09/19/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND This study sought to identify attention-deficit/hyperactivity disorder (ADHD) abnormalities in relationships between brain white matter structure and individual differences in several types of impulsive behavior. METHODS Adolescents, n = 67 with ADHD combined subtype and n = 68 without ADHD, were given neuropsychological tests and underwent diffusion tensor imaging scans. Principal component analysis reduced test scores into factors representing different types of impulsive behavior. Tract-based spatial statistics quantified white matter integrity in relationship to components of impulsive behavior. ADHD versus non-ADHD differences in the strength and nature of linear relationships between regional white matter and three impulsivity components were examined using multiple regression. RESULTS Principal component analysis found three separate impulsivity-related factors that were interpreted as motor response inhibition, impulsive choice, and delay aversion. Relationships between regional fractional anisotropy and response inhibition or impulsive choice did not differ between ADHD and non-ADHD groups. There was a significant interaction between diagnostic group and delay aversion test performance relationships with regional fractional anisotropy. For youths without ADHD, greater anisotropy in numerous tracts predicted better delay aversion test performance. In contrast, anisotropy in regions including the corpus callosum, corona radiata, internal capsule, and corticospinal tracts had either a negative or no relationship with delay aversion test performance in ADHD. CONCLUSIONS The results provide additional support that different proposed etiological pathways to ADHD have discretely different neurobiological features. Large disorganization of white matter microstructure appears to contribute to reward-based ADHD pathways rather than motor inhibition.
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Affiliation(s)
- Katie L Bessette
- Olin Neuropsychiatry Research Center, The Institute of Living, Hartford, Connecticut; Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois
| | - Michael C Stevens
- Olin Neuropsychiatry Research Center, The Institute of Living, Hartford, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
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Abstract
IMPORTANCE Potential effects of breast feeding on children's behaviour remains an elusive debate given inherent methodological challenges. Propensity score matching affords benefits by ensuring greater equivalence on observable social and health determinants, helping to reduce bias between groups. OBJECTIVES We examined whether the duration of breast feeding had an impact on children's externalising and internalising behaviours. STUDY DESIGN A cohort study (Encuesta Longitudinal de la Primera Infancia cohort) that included 3037 Chilean families who were enrolled in 2010. Follow-up data was collected in 2012. SETTING General community. PARTICIPANTS Population-based sample. Eligibility criteria: children born full-term with complete data on matching variables. Matching variables included: healthcare system as a proxy of income, presence of a partner/spouse in the household, maternal age, educational level, IQ, working status, type of work, diagnosis of prenatal depression by a healthcare professional, smoking during pregnancy, delivery type, child sex, weight at birth, incubation following delivery, and child age. EXPOSURE Duration of breast feeding. MAIN OUTCOMES AND MEASURES Externalising and internalising problems assessed using the Child Behaviour Checklist. RESULTS Matched results revealed benefits of any breast feeding, up to 6 months, on emotional reactivity and somatic complaints (mean difference of -1.00, 95% CI, -1.84 to -0.16 and -1.02, 95% CI, -1.76 to -0.28, respectively). Children breast fed between 7 and 12 months also had reduced scores on emotional reactivity, in addition to attention problems (mean difference of -0.86, 95% CI, -1.66 to -0.06 and -0.50, 95% CI, -0.93 to -0.07, respectively). No benefits were observed for children breast fed 13 months or more. CONCLUSION Reduced internalising difficulties and inattention were found in children breast fed up to a year, suggesting that breast feeding may have beneficial impacts on these areas of development. The magnitude of effect was modest. Extended durations of breast feeding did not appear to offer any benefits.
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Affiliation(s)
- Lisa-Christine Girard
- School of Health in Social Science, Clinical Psychology, University of Edinburgh, Edinburgh, UK
| | - Chamarrita Farkas
- Psychology School, Pontificia Universidad Católica de Chile, Santiago, Chile
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From the microscope to the magnet: Disconnection in schizophrenia and bipolar disorder. Neurosci Biobehav Rev 2019; 98:47-57. [PMID: 30629976 DOI: 10.1016/j.neubiorev.2019.01.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 12/22/2018] [Accepted: 01/06/2019] [Indexed: 12/15/2022]
Abstract
White matter (WM) abnormalities have implicated schizophrenia (SZ) and bipolar disorder (BD) as disconnection syndromes, yet the extent to which these abnormalities are shared versus distinct remains unclear. Diffusion tensor imaging (DTI) studies yield a putative measure of WM integrity while neuropathological studies provide more specific microstructural information. We therefore systematically reviewed all neuropathological (n = 12) and DTI (n = 11) studies directly comparing patients with SZ and BD. Most studies (18/23) reported no difference between patient groups. Changes in oligodendrocyte density, myelin staining and gene, protein and mRNA expression were found in SZ and/or BD patients as compared to healthy individuals, while DTI studies showed common alterations in thalamic radiations, uncinate fasciculus, corpus callosum, longitudinal fasciculus and corona radiata. Altogether, findings suggest shared disconnectivity in SZ and BD, which are likely related to their considerable overlap. Above all, neuroimaging findings corroborated neuropathological findings in the prefrontal cortex, demonstrating the utility of integrating multiple methodologies. Focusing on clinical dimensions over disease entities will advance our understanding of disconnectivity and help inform preventive medicine.
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ADHD symptoms are associated with decreased activity of fast sleep spindles and poorer procedural overnight learning during adolescence. Neurobiol Learn Mem 2019; 157:106-113. [DOI: 10.1016/j.nlm.2018.12.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 10/26/2018] [Accepted: 12/11/2018] [Indexed: 11/21/2022]
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Rogers CE, Lean RE, Wheelock MD, Smyser CD. Aberrant structural and functional connectivity and neurodevelopmental impairment in preterm children. J Neurodev Disord 2018; 10:38. [PMID: 30541449 PMCID: PMC6291944 DOI: 10.1186/s11689-018-9253-x] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 11/14/2018] [Indexed: 12/15/2022] Open
Abstract
Background Despite advances in antenatal and neonatal care, preterm birth remains a leading cause of neurological disabilities in children. Infants born prematurely, particularly those delivered at the earliest gestational ages, commonly demonstrate increased rates of impairment across multiple neurodevelopmental domains. Indeed, the current literature establishes that preterm birth is a leading risk factor for cerebral palsy, is associated with executive function deficits, increases risk for impaired receptive and expressive language skills, and is linked with higher rates of co-occurring attention deficit hyperactivity disorder, anxiety, and autism spectrum disorders. These same infants also demonstrate elevated rates of aberrant cerebral structural and functional connectivity, with persistent changes evident across advanced magnetic resonance imaging modalities as early as the neonatal period. Emerging findings from cross-sectional and longitudinal investigations increasingly suggest that aberrant connectivity within key functional networks and white matter tracts may underlie the neurodevelopmental impairments common in this population. Main body This review begins by highlighting the elevated rates of neurodevelopmental disorders across domains in this clinical population, describes the patterns of aberrant structural and functional connectivity common in prematurely-born infants and children, and then reviews the increasingly established body of literature delineating the relationship between these brain abnormalities and adverse neurodevelopmental outcomes. We also detail important, typically understudied, clinical, and social variables that may influence these relationships among preterm children, including heritability and psychosocial risks. Conclusion Future work in this domain should continue to leverage longitudinal evaluations of preterm infants which include both neuroimaging and detailed serial neurodevelopmental assessments to further characterize relationships between imaging measures and impairment, information necessary for advancing our understanding of modifiable risk factors underlying these disorders and best practices for improving neurodevelopmental trajectories in this high-risk clinical population.
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Affiliation(s)
- Cynthia E Rogers
- Departments of Psychiatry and Pediatrics, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8504, St. Louis, MO, 63110, USA.
| | - Rachel E Lean
- Departments of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8504, St. Louis, MO, 63110, USA
| | - Muriah D Wheelock
- Departments of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8504, St. Louis, MO, 63110, USA
| | - Christopher D Smyser
- Departments of Neurology, Pediatrics and Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8111, St. Louis, MO, 63110, USA
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Tymofiyeva O, Gano D, Trevino RJ, Glass HC, Flynn T, Lundy SM, McQuillen PS, Ferriero DM, Barkovich AJ, Xu D. Aberrant Structural Brain Connectivity in Adolescents with Attentional Problems Who Were Born Prematurely. AJNR Am J Neuroradiol 2018; 39:2140-2147. [PMID: 30337433 DOI: 10.3174/ajnr.a5834] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 08/16/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE Differences in structural brain connectivity that underlie inattention have been previously investigated in adolescents with attention deficit/hyperactivity disorder, but not in the context of premature birth, which is often associated with attentional problems. The purpose of this study was to identify the neural correlates of attentional problems in adolescents born prematurely and determine neonatal predictors of those neural correlates and attention problems. MATERIALS AND METHODS The study included 24 adolescents (12.5 ± 1.8 years of age; 12 girls, 12 boys) who were born prematurely and underwent MR imaging of the brain and cognitive assessment, both shortly after birth and as adolescents. Structural connectivity was assessed at adolescence using diffusion tensor imaging and tractography. RESULTS Of the 24 subjects, 12 had attention deficits. A set of axonal pathways connecting the frontal, parietal, temporal, and occipital lobes had significantly lower fractional anisotropy in subjects with attentional problems. The temporoparietal connection between the left precuneus and left middle temporal gyrus was the most significantly underconnected interlobar axonal pathway. Low birth weight and ventriculomegaly, but not white matter injury or intraventricular hemorrhage on neonatal MR imaging, predicted temporoparietal hypoconnectivity in adolescence. However, neither birth weight nor other neonatal characteristics were associated with attention deficits directly. CONCLUSIONS We identified an aberrant structural brain connectivity pattern, involving temporoparietal hypoconnectivity, in prematurely born adolescents with attentional problems. We also identified birth weight as a potential neonatal predictor of the temporoparietal hypoconnectivity. These findings add to our understanding of the neural basis and etiology of inattention in adolescents after premature birth.
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Affiliation(s)
- O Tymofiyeva
- From the Departments of Radiology & Biomedical Imaging (O.T., R.J.T., T.F., A.J.B., D.X.)
| | - D Gano
- Neurology (D.G., H.C.G., D.M.F.).,Pediatrics (D.G., H.C.G., S.M.L., P.S.M., D.M.F.), University of California, San Francisco, San Francisco. California
| | - R J Trevino
- From the Departments of Radiology & Biomedical Imaging (O.T., R.J.T., T.F., A.J.B., D.X.)
| | - H C Glass
- Neurology (D.G., H.C.G., D.M.F.).,Pediatrics (D.G., H.C.G., S.M.L., P.S.M., D.M.F.), University of California, San Francisco, San Francisco. California
| | - T Flynn
- From the Departments of Radiology & Biomedical Imaging (O.T., R.J.T., T.F., A.J.B., D.X.)
| | - S M Lundy
- Pediatrics (D.G., H.C.G., S.M.L., P.S.M., D.M.F.), University of California, San Francisco, San Francisco. California
| | - P S McQuillen
- Pediatrics (D.G., H.C.G., S.M.L., P.S.M., D.M.F.), University of California, San Francisco, San Francisco. California
| | - D M Ferriero
- Neurology (D.G., H.C.G., D.M.F.).,Pediatrics (D.G., H.C.G., S.M.L., P.S.M., D.M.F.), University of California, San Francisco, San Francisco. California
| | - A J Barkovich
- From the Departments of Radiology & Biomedical Imaging (O.T., R.J.T., T.F., A.J.B., D.X.)
| | - D Xu
- From the Departments of Radiology & Biomedical Imaging (O.T., R.J.T., T.F., A.J.B., D.X.)
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Li KC, Luo X, Zeng QZ, Xu XJ, Huang PY, Shen ZJ, Xu JJ, Zhou J, Zhang MM. Distinct Patterns of Interhemispheric Connectivity in Patients With Early- and Late-Onset Alzheimer's Disease. Front Aging Neurosci 2018; 10:261. [PMID: 30237764 PMCID: PMC6136638 DOI: 10.3389/fnagi.2018.00261] [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: 03/20/2018] [Accepted: 08/14/2018] [Indexed: 12/18/2022] Open
Abstract
Background: Early-onset Alzheimer’s disease (EOAD) presents a different clinical profile than late-onset Alzheimer’s disease (LOAD). Neuroimaging studies have demonstrated that patients with EOAD present more atrophy and functional disconnection than LOAD patients. However, it remains unknown whether the interhemispheric functional disconnection or its underlying structural impairment contributes to the different clinical profiles of EOAD and LOAD. Methods: According to the arbitrary cut-off age of 65, we included 22 EOAD patients, 27 LOAD patients and 38 healthy controls (further divided into 21 relatively young and 17 old controls). Participants underwent resting-state functional MRI, diffusion tensor imaging (DTI) and comprehensive neuropsychological assessments. We used voxel-mirrored homotopic connectivity (VMHC) to examine interhemispheric functional connectivity. Then, we calculated the diffusion index based on tract-based spatial statistics (TBSS). Two-sample t-tests were used to assess the interhemispheric connectivity differences between each patient group and its corresponding control group. Results: We found that the EOAD patients had lower VMHC in the hippocampus, parahippocampal gyrus (PHG), superior temporal gyrus (STG) and inferior parietal cortex (IPC) than did controls. Consistently, the EOAD patients exhibited white matter (WM) tract impairment in the posterior regions. On the other hand, the LOAD patients displayed increased VMHC and impaired WM tracts in the frontal region. Correlation analyses showed that VMHC in the IPC was related to executive function in the EOAD patients (r = −0.67, P < 0.05). Conclusion: In contrast to the LOAD patients, patients with EOAD exhibited more widely disrupted interhemispheric functional and structural connectivity, which overlapped well across brain regions. In addition, for the EOAD patients, decreased interhemispheric connectivity related to executive deficits. Our study suggested that different interhemispheric connectivity damage patterns may contribute to the distinct clinical profiles in EOAD and LOAD.
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Affiliation(s)
- Kai-Cheng Li
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Qing-Ze Zeng
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao-Jun Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Pei-Yu Huang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Zhu-Jing Shen
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Jing-Jing Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Jiong Zhou
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Min-Ming Zhang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
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Indelicato E, Nachbauer W, Karner E, Eigentler A, Wagner M, Unterberger I, Poewe W, Delazer M, Boesch S. The neuropsychiatric phenotype in CACNA1A mutations: a retrospective single center study and review of the literature. Eur J Neurol 2018; 26:66-e7. [PMID: 30063100 DOI: 10.1111/ene.13765] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 07/24/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE CACNA1A encodes the α1 subunit of the neuronal calcium channel P/Q. CACNA1A mutations underlie three allelic disorders: familial hemiplegic migraine type 1 (FHM1), episodic ataxia type 2 (EA2) and spinocerebellar ataxia type 6 (SCA6). A clear-cut genotype-phenotype correlation is often lacking since clinical manifestations may overlap. Several case reports have described cognitive and behavioral features in CACNA1A disorders, but studies in larger case series are lacking. METHODS Genetically confirmed CACNA1A cases were retrieved from the database of the ataxia outpatient clinic of the Department of Neurology at Innsbruck Medical University. Clinical charts and neuropsychological test results were retrospectively analyzed. In addition, a review of the literature including only genetically confirmed cases was performed. RESULTS Forty-four CACNA1A cases were identified in our database. Delayed psychomotor milestones and poor school performance were described in seven (four FHM1, three EA2) and eight (three FHM1, five EA2) patients, respectively. Psychiatric comorbidities were diagnosed in eight patients (two FHM1, six EA2). Neuropsychological testing was available for 23 patients (11 FHM1, 10 EA2, two SCA6). Various cognitive deficits were documented in 21 cases (all patients except one SCA6). Impairments were predominantly seen in figural memory, visuoconstructive abilities and verbal fluency. In the literature, an early psychomotor delay is described in several children with EA2 and FHM1, whilst reports of cognitive and psychiatric findings from adult cases are scarce. CONCLUSIONS Neuropsychiatric manifestations are common in episodic CACNA1A disorders. In the case of otherwise unexplained developmental delay and a positive family history, CACNA1A mutations should be considered in the differential diagnosis.
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Affiliation(s)
- E Indelicato
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - W Nachbauer
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - E Karner
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - A Eigentler
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - M Wagner
- Department of Neuroradiology, Innsbruck Medical University, Innsbruck, Austria
| | - I Unterberger
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - W Poewe
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - M Delazer
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - S Boesch
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
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