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Alachkar A, Phan A, Dabbous T, Alhassen S, Alhassen W, Reynolds B, Rubinstein M, Ferré S, Civelli O. Humanized dopamine D 4.7 receptor male mice display risk-taking behavior and deficits of social recognition and working memory in light/dark-dependent manner. J Neurosci Res 2024; 102:e25299. [PMID: 38361407 DOI: 10.1002/jnr.25299] [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: 03/22/2023] [Revised: 01/03/2024] [Accepted: 01/14/2024] [Indexed: 02/17/2024]
Abstract
The dopamine D4 receptor 7-repeat allele (D4.7 R) has been linked with psychiatric disorders such as attention-deficit-hyperactivity disorder, autism, and schizophrenia. However, the highly diverse study populations and often contradictory findings make it difficult to draw reliable conclusions. The D4.7 R has the potential to explain individual differences in behavior. However, there is still a great deal of ambiguity surrounding whether it is causally connected to the etiology of psychiatric disorders. Therefore, humanized D4.7 R mice, with the long third intracellular domain of the human D4.7 R, may provide a valuable tool to examine the relationship between the D4.7 R variant and specific behavioral phenotypes. We report that D4.7 R male mice carrying the humanized D4.7 R variant exhibit distinct behavioral features that are dependent on the light-dark cycle. The behavioral phenotype was characterized by a working memory deficit, delayed decision execution in the light phase, decreased stress and anxiety, and increased risk behavior in the dark phase. Further, D4.7 R mice displayed impaired social recognition memory in both the light and dark phases. These findings provide insight into the potential causal relationship between the human D4.7 R variant and specific behaviors and encourage further consideration of dopamine D4 receptor (DRD4) ligands as novel treatments for psychiatric disorders in which D4.7 R has been implicated.
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Affiliation(s)
- Amal Alachkar
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of California-Irvine, Irvine, California, USA
- UC Irvine Center for the Neurobiology of Learning and Memory, University of California-Irvine, Irvine, California, USA
- Institute for Genomics and Bioinformatics, School of Information and Computer Sciences, University of California-Irvine, Irvine, California, USA
| | - Alvin Phan
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of California-Irvine, Irvine, California, USA
| | - Travis Dabbous
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of California-Irvine, Irvine, California, USA
| | - Sammy Alhassen
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of California-Irvine, Irvine, California, USA
| | - Wedad Alhassen
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of California-Irvine, Irvine, California, USA
| | - Bryan Reynolds
- Department of Drama, School of the Arts, University of California-Irvine, Irvine, California, USA
| | - Marcelo Rubinstein
- Departamento de Fisiología y Biología Molecular y Celular, Instituto de Investigaciones en Ingeniería Genética y Biología Molecular, Buenos Aires, Argentina
| | - Sergi Ferré
- Integrative Neurobiology Section, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, Maryland, USA
| | - Olivier Civelli
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of California-Irvine, Irvine, California, USA
- Department of Developmental and Cell Biology, School of Biological Sciences, University of California-Irvine, Irvine, California, USA
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Karavallil Achuthan S, Stavrinos D, Argueta P, Vanderburgh C, Holm HB, Kana RK. Thalamic functional connectivity and sensorimotor processing in neurodevelopmental disorders. Front Neurosci 2023; 17:1279909. [PMID: 38161799 PMCID: PMC10755010 DOI: 10.3389/fnins.2023.1279909] [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: 08/18/2023] [Accepted: 11/08/2023] [Indexed: 01/03/2024] Open
Abstract
One of the earliest neurobiological findings in autism has been the differences in the thalamocortical pathway connectivity, suggesting the vital role thalamus plays in human experience. The present functional MRI study investigated resting-state functional connectivity of the thalamus in 49 (autistic, ADHD, and neurotypical) young adults. All participants underwent structural MRI and eyes-open resting state functional MRI scans. After preprocessing the imaging data using Conn's connectivity toolbox, a seed-based functional connectivity analysis was conducted using bilateral thalamus as primary seeds. Autistic participants showed stronger thalamic connectivity, relative to ADHD and neurotypical participants, between the right thalamus and right precentral gyrus, right pars opercularis-BA44, right postcentral gyrus, and the right superior parietal lobule (RSPL). Autistic participants also showed significantly increased connectivity between the left thalamus and the right precentral gyrus. Furthermore, regression analyses revealed a significant relationship between autistic traits and left thalamic-precentral connectivity (R2 = 0.1113), as well as between autistic traits and right postcentral gyrus and RSPL connectivity (R2 = 0.1204) in autistic participants compared to ADHD. These findings provide significant insights into the role of thalamus in coordinating neural information processing and its alterations in neurodevelopmental disorders.
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Affiliation(s)
- Smitha Karavallil Achuthan
- Department of Psychology and the Center for Innovative Research in Autism, The University of Alabama, Tuscaloosa, AL, United States
| | - Despina Stavrinos
- Department of Psychology and the Institute of Social Science Research, The University of Alabama, Tuscaloosa, AL, United States
| | - Paula Argueta
- Department of Psychology and the Center for Innovative Research in Autism, The University of Alabama, Tuscaloosa, AL, United States
| | - Caroline Vanderburgh
- Department of Psychology and the Center for Innovative Research in Autism, The University of Alabama, Tuscaloosa, AL, United States
| | - Haley B. Holm
- Children’s Hospital of Atlanta, Atlanta, GA, United States
| | - Rajesh K. Kana
- Department of Psychology and the Center for Innovative Research in Autism, The University of Alabama, Tuscaloosa, AL, United States
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de Lacy N, Ramshaw MJ. Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy. Front Psychiatry 2023; 14:1280326. [PMID: 38144472 PMCID: PMC10739523 DOI: 10.3389/fpsyt.2023.1280326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 11/13/2023] [Indexed: 12/26/2023] Open
Abstract
Introduction The externalizing disorders of attention deficit hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder (CD) are common in adolescence and are strong predictors of adult psychopathology. While treatable, substantial diagnostic overlap complicates intervention planning. Understanding which factors predict the onset of each disorder and disambiguating their different predictors is of substantial translational interest. Materials and methods We analyzed 5,777 multimodal candidate predictors from children aged 9-10 years and their parents in the ABCD cohort to predict the future onset of ADHD, ODD, and CD at 2-year follow-up. We used deep learning optimized with an innovative AI algorithm to jointly optimize model training, perform automated feature selection, and construct individual-level predictions of illness onset and all prevailing cases at 11-12 years and examined relative predictive performance when candidate predictors were restricted to only neural metrics. Results Multimodal models achieved ~86-97% accuracy, 0.919-0.996 AUROC, and ~82-97% precision and recall in testing in held-out, unseen data. In neural-only models, predictive performance dropped substantially but nonetheless achieved accuracy and AUROC of ~80%. Parent aggressive and externalizing traits uniquely differentiated the onset of ODD, while structural MRI metrics in the limbic system were specific to CD. Psychosocial measures of sleep disorders, parent mental health and behavioral traits, and school performance proved valuable across all disorders. In neural-only models, structural and functional MRI metrics in subcortical regions and cortical-subcortical connectivity were emphasized. Overall, we identified a strong correlation between accuracy and final predictor importance. Conclusion Deep learning optimized with AI can generate highly accurate individual-level predictions of the onset of early adolescent externalizing disorders using multimodal features. While externalizing disorders are frequently co-morbid in adolescents, certain predictors were specific to the onset of ODD or CD vs. ADHD. To our knowledge, this is the first machine learning study to predict the onset of all three major adolescent externalizing disorders with the same design and participant cohort to enable direct comparisons, analyze >200 multimodal features, and include many types of neuroimaging metrics. Future study to test our observations in external validation data will help further test the generalizability of these findings.
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Affiliation(s)
- Nina de Lacy
- Huntsman Mental Health Institute, Salt Lake City, UT, United States
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States
| | - Michael J. Ramshaw
- Huntsman Mental Health Institute, Salt Lake City, UT, United States
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States
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4
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Millevert C, Vidas-Guscic N, Vanherp L, Jonckers E, Verhoye M, Staelens S, Bertoglio D, Weckhuysen S. Resting-State Functional MRI and PET Imaging as Noninvasive Tools to Study (Ab)Normal Neurodevelopment in Humans and Rodents. J Neurosci 2023; 43:8275-8293. [PMID: 38073598 PMCID: PMC10711730 DOI: 10.1523/jneurosci.1043-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 06/09/2023] [Accepted: 09/13/2023] [Indexed: 12/18/2023] Open
Abstract
Neurodevelopmental disorders (NDDs) are a group of complex neurologic and psychiatric disorders. Functional and molecular imaging techniques, such as resting-state functional magnetic resonance imaging (rs-fMRI) and positron emission tomography (PET), can be used to measure network activity noninvasively and longitudinally during maturation in both humans and rodent models. Here, we review the current knowledge on rs-fMRI and PET biomarkers in the study of normal and abnormal neurodevelopment, including intellectual disability (ID; with/without epilepsy), autism spectrum disorder (ASD), and attention deficit hyperactivity disorder (ADHD), in humans and rodent models from birth until adulthood, and evaluate the cross-species translational value of the imaging biomarkers. To date, only a few isolated studies have used rs-fMRI or PET to study (abnormal) neurodevelopment in rodents during infancy, the critical period of neurodevelopment. Further work to explore the feasibility of performing functional imaging studies in infant rodent models is essential, as rs-fMRI and PET imaging in transgenic rodent models of NDDs are powerful techniques for studying disease pathogenesis, developing noninvasive preclinical imaging biomarkers of neurodevelopmental dysfunction, and evaluating treatment-response in disease-specific models.
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Affiliation(s)
- Charissa Millevert
- Applied & Translational Neurogenomics Group, Vlaams Instituut voor Biotechnology (VIB) Center for Molecular Neurology, VIB, Antwerp 2610, Belgium
- Department of Neurology, University Hospital of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Nicholas Vidas-Guscic
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Liesbeth Vanherp
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Elisabeth Jonckers
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Marleen Verhoye
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Steven Staelens
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Daniele Bertoglio
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Sarah Weckhuysen
- Applied & Translational Neurogenomics Group, Vlaams Instituut voor Biotechnology (VIB) Center for Molecular Neurology, VIB, Antwerp 2610, Belgium
- Department of Neurology, University Hospital of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
- Translational Neurosciences, Faculty of Medicine and Health Science, University of Antwerp, Antwerp 2610, Belgium
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Zanus C, Miladinović A, De Dea F, Skabar A, Stecca M, Ajčević M, Accardo A, Carrozzi M. Sleep Spindle-Related EEG Connectivity in Children with Attention-Deficit/Hyperactivity Disorder: An Exploratory Study. ENTROPY (BASEL, SWITZERLAND) 2023; 25:1244. [PMID: 37761543 PMCID: PMC10530036 DOI: 10.3390/e25091244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/20/2023] [Accepted: 08/16/2023] [Indexed: 09/29/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a neurobehavioral disorder with known brain abnormalities but no biomarkers to support clinical diagnosis. Recently, EEG analysis methods such as functional connectivity have rekindled interest in using EEG for ADHD diagnosis. Most studies have focused on resting-state EEG, while connectivity during sleep and spindle activity has been underexplored. Here we present the results of a preliminary study exploring spindle-related connectivity as a possible biomarker for ADHD. We compared sensor-space connectivity parameters in eight children with ADHD and nine age/sex-matched healthy controls during sleep, before, during, and after spindle activity in various frequency bands. All connectivity parameters were significantly different between the two groups in the delta and gamma bands, and Principal Component Analysis (PCA) in the gamma band distinguished ADHD from healthy subjects. Cluster coefficient and path length values in the sigma band were also significantly different between epochs, indicating different spindle-related brain activity in ADHD.
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Affiliation(s)
- Caterina Zanus
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, 34137 Trieste, Italy; (C.Z.); (M.C.)
| | - Aleksandar Miladinović
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, 34137 Trieste, Italy; (C.Z.); (M.C.)
| | - Federica De Dea
- Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy (M.A.); (A.A.)
- Department of Life Science, University of Trieste, 34127 Trieste, Italy
| | - Aldo Skabar
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, 34137 Trieste, Italy; (C.Z.); (M.C.)
| | - Matteo Stecca
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, 34137 Trieste, Italy; (C.Z.); (M.C.)
| | - Miloš Ajčević
- Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy (M.A.); (A.A.)
| | - Agostino Accardo
- Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy (M.A.); (A.A.)
| | - Marco Carrozzi
- Institute for Maternal and Child Health—IRCCS “Burlo Garofolo”, 34137 Trieste, Italy; (C.Z.); (M.C.)
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Sherigar SS, Gamsa AH, Srinivasan K. Oculomotor deficits in attention deficit hyperactivity disorder: a systematic review and meta-analysis. Eye (Lond) 2023; 37:1975-1981. [PMID: 36280758 PMCID: PMC10333290 DOI: 10.1038/s41433-022-02284-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/23/2022] [Accepted: 10/06/2022] [Indexed: 11/09/2022] Open
Abstract
There is equivocal evidence on the presence of oculomotor deficits among children with attention deficit hyperactivity disorder (ADHD), which can be an additional challenge in this population, especially with reading-related tasks. This study aimed to review the deficits in the oculomotor parameters among children with ADHD compared with age-matched controls. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. A search of original research articles on various databases was done using key terms, such as "oculomotor deficit," "attention deficit hyperactivity disorder," or related terms. We included case-control studies and excluded studies in which children received medications during the test. Twelve original research studies were considered for this review. Ten studies reported data on various types of saccades, two studies reported data on fixation, and one study reported data on pursuit. Among various oculomotor deficits, the forest-plot analysis of an antisaccade task showed that children with ADHD made more direction errors compared to controls. Although independent studies report that ADHD children have poorer performance compared to control populations during oculomotor tasks, there is a lack of evidence to draw a strong conclusion. Children with ADHD are less precise in performing eye movements and need more time to complete the oculomotor tasks than those without ADHD. The overall results provide minimal evidence regarding the presence of various oculomotor deficits in ADHD.
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Affiliation(s)
- Sharath S Sherigar
- Department of Optometry, Manipal College of Health Professions (MCHP), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Ashwitha H Gamsa
- Department of Optometry, Manipal College of Health Professions (MCHP), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Krithica Srinivasan
- Department of Optometry, Manipal College of Health Professions (MCHP), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India.
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7
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Zhou Q, Ye X, Wei C, Wu Y, Ren P, Lin X, Li L, Xiang W, Xiao L. Network Analysis of ADHD Symptoms and Cognitive Profiles in Children. Neuropsychiatr Dis Treat 2023; 19:1207-1219. [PMID: 37223654 PMCID: PMC10202214 DOI: 10.2147/ndt.s409503] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 04/27/2023] [Indexed: 05/25/2023] Open
Abstract
Purpose Although many studies have reported the cognitive profiles in attention-deficit/hyperactivity disorder (ADHD), the interactions between ADHD symptoms and the patients' cognitive profiles have not been carefully examined through the network analysis. Here, in this study, we systematically analyzed the ADHD patents' symptoms and cognitive profiles, and identified a set of interactions between ADHD symptoms and cognitive domains using the network approach. Patients and Methods A total of 146 children with ADHD, 6 to 15 years of age, were included in the study. All participants were assessed by the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) test. The patients' ADHD symptoms were evaluated by the Vanderbilt ADHD parent and teacher rating scales. GraphPad Prism 9.1.1 software was used for descriptive statistics and R 4.2.2 was used for network model construction. Results The ADHD children in our sample showed lower scores for full scale intelligence quotient (FSIQ), verbal comprehension index (VCI), processing speed index (PSI) and working memory index (WMI). Among all the ADHD core symptoms and comorbid symptoms, the academic ability, inattention symptoms and mood disorder showed direct interaction with the cognitive domains of WISC-IV. In addition, oppositional defiant of the ADHD comorbid symptoms, and perceptual reasoning of the cognitive domains exhibited the highest strength centrality in the ADHD-Cognition network based on parent ratings. Classroom behaviors of the ADHD functional impairment, and verbal comprehension of the cognitive domains exhibited the highest strength centrality in the network based on teacher ratings. Conclusion We highlighted the importance of considering the interactions between the ADHD symptoms and cognitive properties when designing the intervention plans for the ADHD children.
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Affiliation(s)
- Qionglin Zhou
- Hainan Medical University, Haikou, People’s Republic of China
| | - Xiaoshan Ye
- Hainan Medical University, Haikou, People’s Republic of China
| | - Chongxia Wei
- Hainan Women and Children’s Medical Center, Haikou, People’s Republic of China
| | - Yufan Wu
- Hainan Medical University, Haikou, People’s Republic of China
| | - Pengcheng Ren
- Hainan Medical University, Haikou, People’s Republic of China
| | - Xuewei Lin
- Hainan Women and Children’s Medical Center, Haikou, People’s Republic of China
| | - Ling Li
- Hainan Women and Children’s Medical Center, Haikou, People’s Republic of China
| | - Wei Xiang
- Hainan Medical University, Haikou, People’s Republic of China
- Hainan Women and Children’s Medical Center, Haikou, People’s Republic of China
| | - Le Xiao
- Hainan Medical University, Haikou, People’s Republic of China
- Hainan Women and Children’s Medical Center, Haikou, People’s Republic of China
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Jaramillo V, Schoch SF, Markovic A, Kohler M, Huber R, Lustenberger C, Kurth S. An infant sleep electroencephalographic marker of thalamocortical connectivity predicts behavioral outcome in late infancy. Neuroimage 2023; 269:119924. [PMID: 36739104 DOI: 10.1016/j.neuroimage.2023.119924] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 01/24/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023] Open
Abstract
Infancy represents a critical period during which thalamocortical brain connections develop and mature. Deviations in the maturation of thalamocortical connectivity are linked to neurodevelopmental disorders. There is a lack of early biomarkers to detect and localize neuromaturational deviations, which can be overcome with mapping through high-density electroencephalography (hdEEG) assessed in sleep. Specifically, slow waves and spindles in non-rapid eye movement (NREM) sleep are generated by the thalamocortical system, and their characteristics, slow wave slope and spindle density, are closely related to neuroplasticity and learning. Spindles are often subdivided into slow (11.0-13.0 Hz) and fast (13.5-16.0 Hz) frequencies, for which not only different functions have been proposed, but for which also distinctive developmental trajectories have been reported across the first years of life. Recent studies further suggest that information processing during sleep underlying sleep-dependent learning is promoted by the temporal coupling of slow waves and spindles, yet slow wave-spindle coupling remains unexplored in infancy. Thus, we evaluated three potential biomarkers: 1) slow wave slope, 2) spindle density, and 3) the temporal coupling of slow waves with spindles. We use hdEEG to first examine the occurrence and spatial distribution of these three EEG features in healthy infants and second to evaluate a predictive relationship with later behavioral outcomes. We report four key findings: First, infants' EEG features appear locally: slow wave slope is maximal in occipital and frontal areas, whereas slow and fast spindle density is most pronounced frontocentrally. Second, slow waves and spindles are temporally coupled in infancy, with maximal coupling strength in the occipital areas of the brain. Third, slow wave slope, fast spindle density, and slow wave-spindle coupling are not associated with concurrent behavioral status (6 months). Fourth, fast spindle density in central and frontocentral regions at age 6 months predicts overall developmental status at age 12 months, and motor skills at age 12 and 24 months. Neither slow wave slope nor slow wave-spindle coupling predict later behavioral development. We further identified spindle frequency as a determinant of slow and fast spindle density, which accordingly, also predicts motor skills at 24 months. Our results propose fast spindle density, or alternatively spindle frequency, as early EEG biomarker for identifying thalamocortical maturation, which can potentially be used for early diagnosis of neurodevelopmental disorders in infants. These findings are in support of a role of sleep spindles in sensorimotor microcircuitry development. A crucial next step will be to evaluate whether early therapeutic interventions may be effective to reverse deviations in identified individuals at risk.
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Affiliation(s)
- Valeria Jaramillo
- Department of Pulmonology, University Hospital Zurich, Zurich, CH; Surrey Sleep Research Centre, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom; Neuromodulation Laboratory, School of Psychology, University of Surrey, Guildford, United Kingdom
| | - Sarah F Schoch
- Department of Pulmonology, University Hospital Zurich, Zurich, CH; Center of Competence Sleep & Health Zurich, University of Zurich, Zurich, CH; Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, NL
| | - Andjela Markovic
- Department of Pulmonology, University Hospital Zurich, Zurich, CH; Department of Psychology, University of Fribourg, Fribourg, CH
| | - Malcolm Kohler
- Department of Pulmonology, University Hospital Zurich, Zurich, CH; Center of Competence Sleep & Health Zurich, University of Zurich, Zurich, CH
| | - Reto Huber
- Child Development Center, University Children's Hospital Zurich, Zurich, CH; Children's Research Center, University Children's Hospital Zurich, University of Zurich (UZH), Zürich, Switzerland; Center of Competence Sleep & Health Zurich, University of Zurich, Zurich, CH; Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, CH
| | - Caroline Lustenberger
- Center of Competence Sleep & Health Zurich, University of Zurich, Zurich, CH; Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, 8092 Zurich, Switzerland
| | - Salome Kurth
- Department of Pulmonology, University Hospital Zurich, Zurich, CH; Center of Competence Sleep & Health Zurich, University of Zurich, Zurich, CH; Department of Psychology, University of Fribourg, Fribourg, CH.
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9
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Jones SA, Tipsord J, Nagel BJ, Nigg JT. A preliminary study of white matter correlates of a laboratory measure of attention and motor stability in attention-deficit/hyperactivity disorder. J Psychiatr Res 2023; 160:110-116. [PMID: 36804107 PMCID: PMC10023490 DOI: 10.1016/j.jpsychires.2023.02.007] [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: 08/10/2022] [Revised: 01/17/2023] [Accepted: 02/05/2023] [Indexed: 02/10/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a complex behavioral disorder, often difficult and time consuming to diagnose. Laboratory assessment of ADHD-related constructs of attention and motor activity may be helpful in elucidating neurobiology; however, neuroimaging studies evaluating laboratory measures of ADHD are lacking. In this preliminary study, we assessed the association between fractional anisotropy (FA), a measure of white matter microstructure, and laboratory measures of attention and motor behavior using the QbTest, a widely used measure thought to improve clinician diagnostic confidence. This is the first look at neural correlates of this widely used measure. The sample included adolescents and young adults (ages 12-20, 35% female) with ADHD (n = 31) and without (n = 52). As expected, ADHD status was associated with motor activity, and cognitive inattention and impulsivity in the laboratory. With regard to MRI findings, laboratory observed motor activity and inattention were associated with greater FA in white matter regions of the primary motor cortex. All three laboratory observations were associated with lower FA in regions subserving fronto-striatal-thalamic and frontoparietal (i.e. superior longitudinal fasciculus) circuitry. Further, FA in white matter regions of the prefrontal cortex appeared to mediate the relationship between ADHD status and motor activity on the QbTest. These findings, while preliminary, suggest that performance on certain laboratory tasks is informative with regard to neurobiological correlates of subdomains of the complex ADHD phenotype. In particular, we provide novel evidence for a relationship between an objective measure of motor hyperactivity and white matter microstructure in motor and attentional networks.
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Affiliation(s)
- Scott A Jones
- Department of Psychiatry, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA.
| | - Jessica Tipsord
- Department of Psychiatry, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA
| | - Bonnie J Nagel
- Department of Psychiatry, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA; Department of Behavioral Neuroscience, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA
| | - Joel T Nigg
- Department of Psychiatry, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA; Department of Behavioral Neuroscience, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA
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Agoalikum E, Klugah-Brown B, Wu H, Hu P, Jing J, Biswal B. Structural differences among children, adolescents, and adults with attention-deficit/hyperactivity disorder and abnormal Granger causality of the right pallidum and whole-brain. Front Hum Neurosci 2023; 17:1076873. [PMID: 36866118 PMCID: PMC9971633 DOI: 10.3389/fnhum.2023.1076873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 01/23/2023] [Indexed: 02/16/2023] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a childhood mental health disorder that often persists to adulthood and is characterized by inattentive, hyperactive, or impulsive behaviors. This study investigated structural and effective connectivity differences through voxel-based morphometry (VBM) and Granger causality analysis (GCA) across child, adolescent, and adult ADHD patients. Structural and functional MRI data consisting of 35 children (8.64 ± 0.81 years), 40 adolescents (14.11 ± 1.83 years), and 39 adults (31.59 ± 10.13 years) was obtained from New York University Child Study Center for the ADHD-200 and UCLA dataset. Structural differences in the bilateral pallidum, bilateral thalamus, bilateral insula, superior temporal cortex, and the right cerebellum were observed among the three ADHD groups. The right pallidum was positively correlated with disease severity. The right pallidum as a seed precedes and granger causes the right middle occipital cortex, bilateral fusiform, left postcentral gyrus, left paracentral lobule, left amygdala, and right cerebellum. Also, the anterior cingulate cortex, prefrontal cortex, left cerebellum, left putamen, left caudate, bilateral superior temporal pole, middle cingulate cortex, right precentral gyrus, and the left supplementary motor area demonstrated causal effects on the seed region. In general, this study showed the structural differences and the effective connectivity of the right pallidum amongst the three ADHD age groups. Our work also highlights the evidence of the frontal-striatal-cerebellar circuits in ADHD and provides new insights into the effective connectivity of the right pallidum and the pathophysiology of ADHD. Our results further demonstrated that GCA could effectively explore the interregional causal relationship between abnormal regions in ADHD.
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Affiliation(s)
- Elijah Agoalikum
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Benjamin Klugah-Brown
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China,*Correspondence: Bharat Biswal Benjamin Klugah-Brown
| | - Hongzhou Wu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Peng Hu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Junlin Jing
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Bharat Biswal
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China,Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States,*Correspondence: Bharat Biswal Benjamin Klugah-Brown
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11
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Hong SB. Thalamocortical functional connectivity in youth with attention-deficit/hyperactivity disorder. J Psychiatry Neurosci 2023; 48:E50-E60. [PMID: 36796856 PMCID: PMC9943548 DOI: 10.1503/jpn.220109] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/19/2022] [Accepted: 10/20/2022] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND Few studies have empirically tested the relationships between anatomically defined thalamic nuclei and functionally defined cortical networks, and little is known about their implications in attention-deficit/hyperactivity disorder (ADHD). This study aimed to investigate the functional connectivity of the thalamus in youth with ADHD, using both anatomically and functionally defined thalamic seed regions. METHODS Resting-state functional MRIs obtained from the publicly available ADHD-200 database were analyzed. Thalamic seed regions were defined functionally and anatomically based on Yeo's 7 resting-state-network parcellation atlas and the AAL3 atlas, respectively. Functional connectivity maps of the thalamus were extracted, and thalamocortical functional connectivity was compared between youth with and without ADHD. RESULTS Using the functionally defined seeds, significant group differences in thalamocortical functional connectivity and significant negative correlations between thalamocortical connectivity and ADHD symptom severity were observed within the boundaries of corresponding large-scale networks. However, in the analysis using the anatomically defined thalamic seeds, significant group differences in connectivity and significant positive correlations were observed outside the expected boundaries of major anatomic projections. The thalamocortical connectivity originating from the lateral geniculate nuclei of the thalamus was significantly correlated with age in youth with ADHD. LIMITATIONS The small sample size and smaller proportion of girls were limiting factors. CONCLUSION Thalamocortical functional connectivity based on the intrinsic network architecture of the brain appears to be clinically relevant in ADHD. The positive association between thalamocortical functional connectivity and ADHD symptom severity may represent a compensatory process recruiting an alternative neural network.
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Affiliation(s)
- Soon-Beom Hong
- From the Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; the Institute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
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12
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Goldman DA, Sankar A, Rich A, Kim JA, Pittman B, Constable RT, Scheinost D, Blumberg HP. A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults. J Affect Disord 2022; 319:15-26. [PMID: 36103935 PMCID: PMC9669784 DOI: 10.1016/j.jad.2022.09.016] [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: 07/25/2022] [Revised: 09/03/2022] [Accepted: 09/09/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Markers to differentiate depressions of bipolar disorder (BD-Dep) from depressions of major depressive disorder (MDD-Dep), and for more targeted treatments, are critically needed to decrease current high rates of misdiagnosis that can lead to ineffective or potentially deleterious treatments. Distinguishing, and specifically treating the depressions, during the adolescent/young adult epoch is especially important to decrease illness progression and improve prognosis, and suicide, as it is the epoch when suicide thoughts and behaviors often emerge. With differences in functional connectivity patterns reported when BD-Dep and MDD-Dep have been studied separately, this study used a graph theory approach aimed to identify functional connectivity differences in their direct comparison. METHODS Functional magnetic resonance imaging whole-brain functional connectivity (Intrinsic Connectivity Distribution, ICD) measures were compared across adolescents/young adults with BD-Dep (n = 28), MDD-Dep (n = 20) and HC (n = 111). Follow-up seed-based connectivity was conducted on regions of significant ICD differences. Relationships with demographic and clinical measures were assessed. RESULTS Compared to the HC group, both the BD-Dep and MDD-Dep groups exhibited left-sided frontal, insular, and medial temporal ICD increases. The BD-Dep group had additional right-sided ICD increases in frontal, basal ganglia, and fusiform areas. In seed-based analyses, the BD-Dep group exhibited increased interhemispheric functional connectivity between frontal areas not seen in the MDD-Dep group. LIMITATIONS Modest sample size; medications not studied systematically. CONCLUSIONS This study supports bilateral and interhemispheric functional dysconnectivity as features of BD-Dep that may differentiate it from MDD-Dep in adolescents/young adults and serve as a target for early diagnosis and treatment strategies.
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Affiliation(s)
- Danielle A Goldman
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06511, United States of America; Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - Anjali Sankar
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America; Department of Neurology and Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Alexandra Rich
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - Jihoon A Kim
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - Brian Pittman
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - R Todd Constable
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - Hilary P Blumberg
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, United States of America; Child Study Center, Yale School of Medicine, New Haven, CT 06511, United States of America.
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13
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Jones SA, Nagel BJ, Nigg JT, Karalunas SL. Attention-deficit/hyperactivity disorder and white matter microstructure: the importance of dimensional analyses and sex differences. JCPP ADVANCES 2022; 2:e12109. [PMID: 36817187 PMCID: PMC9937645 DOI: 10.1002/jcv2.12109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background Attention-deficit/hyperactive disorder (ADHD) has substantial heterogeneity in clinical presentation. A potentially important clue may be variation in brain microstructure. Using fractional anisotropy (FA), previous studies have produced equivocal results in relation to ADHD. This may be due to insufficient consideration of possible sex differences and ADHD's multi-componential nature. Methods Using whole-brain analyses, we investigated the association between FA and both ADHD diagnosis and ADHD symptom domains in a well-characterized, ADHD (n = 234; 32% female youth) and non-ADHD (n = 177; 52% female youth), case-control cohort (ages 7-12). Sex-specific effects were tested. Results No ADHD group differences were found using categorical assessment of ADHD without consideration of moderators. However, dimensional analyses found total symptoms were associated with higher FA in the superior corona radiata. Further, inattention symptoms were associated with higher FA in the corpus callosum and ansa lenticularis, and lower FA in the superior longitudinal fasciculus, after control for overlap with hyperactivity-impulsivity. Hyperactivity-impulsivity symptoms were associated with higher FA in the superior longitudinal fasciculus, and lower FA in the superior cerebellar peduncles, after control for overlap with inattention. Meanwhile, both categorical and dimensional analyses revealed ADHD-by-sex interactions (voxel-wise p < 0.01). Girls with ADHD had higher FA, but boys with ADHD had lower FA (or no effect), compared to their same-sex peers, in the bilateral anterior corona radiata. Further, higher ADHD symptom severity was associated with higher FA in girls, but lower FA in boys, in the anterior and posterior corona radiata and cerebral peduncles. Conclusions ADHD symptom domains appear to be differentially related to white matter microstructure, highlighting the multi-componential nature of the disorder. Further, sex differences will be crucial to consider in future studies characterizing ADHD-related differences in white matter microstructure.
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Affiliation(s)
- Scott A. Jones
- Department of Psychiatry, Oregon Health & Science University, Portland, OR
| | - Bonnie J. Nagel
- Department of Psychiatry, Oregon Health & Science University, Portland, OR,Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR
| | - Joel T. Nigg
- Department of Psychiatry, Oregon Health & Science University, Portland, OR,Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR
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14
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Lee S, Hong SB. Thalamocortical functional connectivity and cannabis use in men with childhood attention-deficit/hyperactivity disorder. PLoS One 2022; 17:e0278162. [PMID: 36441710 PMCID: PMC9704667 DOI: 10.1371/journal.pone.0278162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 11/11/2022] [Indexed: 11/29/2022] Open
Abstract
Disruptions of the cortico-striato-thalamo-cortical circuit has been implicated in both attention-deficit/hyperactivity disorder and substance use disorder. Given the high prevalence of cannabis use among patients with attention-deficit/hyperactivity disorder, we set out to investigate the relationship between the two in the thalamus. We analyzed resting-state functional magnetic resonance imaging data obtained from the Addiction Connectome Preprocessed Initiative Multimodal Treatment Study of Attention-Deficit/Hyperactivity Disorder database. Functional connectivity maps were extracted to compare thalamic connectivity among adults who had been diagnosed with attention-deficit/hyperactivity disorder during childhood according to whether or not they used cannabis. The study participants included 18 cannabis users and 15 cannabis non-users with childhood attention-deficit/hyperactivity disorder. Our results revealed that adults with attention-deficit/hyperactivity disorder who used cannabis (n = 18) had significantly decreased functional connectivity between the thalamus and parietal regions, which was particularly prominent in the inferior parietal areas, in comparison with those who did not use cannabis (n = 15). Left thalamic functional connectivity with the inferior parietal and middle frontal areas and right thalamic functional connectivity with the inferior parietal and superior frontal areas were increased in non-users of cannabis with attention-deficit/hyperactivity disorder compared with a local normative comparison group (n = 7). In conclusion, adults with a childhood history of attention-deficit/hyperactivity disorder who do not use cannabis often have relatively stronger thalamoparietal and thalamofrontal connectivity, which may help reduce the risk of cannabis use.
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Affiliation(s)
- Sanghyun Lee
- Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Soon-Beom Hong
- Seoul National University College of Medicine, Seoul, Republic of Korea
- Institute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
- * E-mail:
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15
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Wang Y, Kessel E, Lee S, Hong S, Raffanello E, Hulvershorn LA, Margolis A, Peterson BS, Posner J. Causal effects of psychostimulants on neural connectivity: a mechanistic, randomized clinical trial. J Child Psychol Psychiatry 2022; 63:1381-1391. [PMID: 35141898 PMCID: PMC9360200 DOI: 10.1111/jcpp.13585] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/04/2022] [Indexed: 12/20/2022]
Abstract
BACKGROUND Psychostimulants are frequently used to treat attention-deficit/hyperactivity disorder (ADHD), but side effects are common leading to many patients discontinuing treatment. Identifying neural mechanisms by which psychostimulants attenuate symptoms may guide the development of more refined and tolerable therapeutics. METHODS We conducted a 12-week, randomized, placebo-controlled trial (RCT) of a long-acting amphetamine, lisdexamfetamine (LDEX), in patients with ADHD, ages 6-25 years old. Of the 58 participants who participated in the RCT, 49 completed pre- and post-RCT magnetic resonance imaging scanning with adequate data quality. Healthy controls (HCs; n = 46) were included for comparison. Treatment effects on striatal and thalamic functional connectivity (FC) were identified using static (time-averaged) and dynamic (time-varying) measures and then correlated with symptom improvement. Analyses were repeated in independent samples from the Adolescent Brain Cognitive Development study (n = 103) and the ADHD-200 Consortium (n = 213). RESULTS In 49 participants (25 LDEX; 24 Placebo), LDEX increased static and decreased dynamic FC (DFC). However, only DFC was associated with the therapeutic effects of LDEX. Additionally, at baseline, DFC was elevated in unmedicated-ADHD participants relative to HCs. Independent samples yielded similar findings - ADHD was associated with increased DFC, and psychostimulants with reduced DFC. Static FC findings were inconsistent across samples. CONCLUSIONS Changes in dynamic, but not static, FC were associated with the therapeutic effects of psychostimulants. While prior research has focused on static FC, DFC may offer a more reliable target for new ADHD interventions aimed at stabilizing network dynamics, though this needs confirmation with subsequent investigations.
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Affiliation(s)
- Yun Wang
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Ellen Kessel
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Seonjoo Lee
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Susie Hong
- New York State Psychiatric Institute, New York, NY, USA
| | | | | | - Amy Margolis
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Bradley S. Peterson
- Department of Psychiatry, Keck School of Medicine, Los Angeles, CA, USA,Institute for the Developing Mind, Saban Research Institute, CHLA, Los Angeles, CA, USA
| | - Jonathan Posner
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
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16
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Wu X, Yu G, Zhang K, Feng J, Zhang J, Sahakian BJ, Robbins TW. Symptom-Based Profiling and Multimodal Neuroimaging of a Large Preteenage Population Identifies Distinct Obsessive-Compulsive Disorder-like Subtypes With Neurocognitive Differences. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:1078-1089. [PMID: 34224907 DOI: 10.1016/j.bpsc.2021.06.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/06/2021] [Accepted: 06/21/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is characterized by both internalizing (anxiety) and externalizing (compulsivity) symptoms. Currently, little is known about their interrelationships and their relative contributions to disease heterogeneity. Our goal is to resolve affective and cognitive symptom heterogeneity related to internalized and externalized symptom dimensions by determining subtypes of children with OCD symptoms, and to identify any corresponding neural differences. METHODS A total of 1269 children with OCD symptoms screened using the Child Behavior Checklist Obsessive-Compulsive Symptom scale and 3987 matched control subjects were obtained from the Adolescent Brain Cognitive Development (ABCD) Study. Consensus hierarchical clustering was used to cluster children with OCD symptoms into distinct subtypes. Ten neurocognitive task scores and 20 Child Behavior Checklist syndrome scales were used to characterize cognitive/behavioral differences. Gray matter volume, fractional anisotropy of major white matter fiber tracts, and functional connectivity among networks were used in case-control studies. RESULTS We identified two subgroups with contrasting patterns in internalized and externalized dimensions. Group 1 showed compulsive thoughts and repeated acts but relatively low anxiety symptoms, whereas group 2 exhibited higher anxiety and perfectionism and relatively low repetitive behavior. Only group 1 had significant cognitive impairments and gray matter volume reductions in the bilateral inferior parietal lobe, precentral gyrus, and precuneus gyrus, and had white matter tract fractional anisotropy reductions in the corticostriatal fasciculus. CONCLUSIONS Children with OCD symptoms are heterogeneous at the level of symptom clustering and its underlying neural basis. Two subgroups represent distinct patterns of externalizing and internalizing symptoms, suggesting that anxiety is not its major predisposing factor. These results may have implications for the nosology and treatment of preteenage OCD.
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Affiliation(s)
- Xinran Wu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Gechang Yu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Kai Zhang
- School of Computer Science and Technology, East China Normal University, Shanghai, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Shanghai Center for Mathematical Sciences, Shanghai, China; Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China; Department of Computer Science, University of Warwick, Coventry, United Kingdom
| | - Jie Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
| | - Barbara J Sahakian
- Departments of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Trevor W Robbins
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Department of Psychology, University of Cambridge, Cambridge, United Kingdom; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
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17
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Vilgis V, Yee D, Silk TJ, Vance A. Distinct Neural Profiles of Frontoparietal Networks in Boys with ADHD and Boys with Persistent Depressive Disorder. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2022; 22:1183-1198. [PMID: 35349053 PMCID: PMC10149107 DOI: 10.3758/s13415-022-00999-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/12/2022] [Indexed: 05/02/2023]
Abstract
Working memory deficits are common in attention-deficit/hyperactivity disorder (ADHD) and depression-two common neurodevelopmental disorders with overlapping cognitive profiles but distinct clinical presentation. Multivariate techniques have previously been utilized to understand working memory processes in functional brain networks in healthy adults but have not yet been applied to investigate how working memory processes within the same networks differ within typical and atypical developing populations. We used multivariate pattern analysis (MVPA) to identify whether brain networks discriminated between spatial versus verbal working memory processes in ADHD and Persistent Depressive Disorder (PDD). Thirty-six male clinical participants and 19 typically developing (TD) boys participated in a fMRI scan while completing a verbal and a spatial working memory task. Within a priori functional brain networks (frontoparietal, default mode, salience), the TD group demonstrated differential response patterns to verbal and spatial working memory. The PDD group showed weaker differentiation than TD, with lower classification accuracies observed in primarily the left frontoparietal network. The neural profiles of the ADHD and PDD differed specifically in the SN where the ADHD group's neural profile suggests significantly less specificity in neural representations of spatial and verbal working memory. We highlight within-group classification as an innovative tool for understanding the neural mechanisms of how cognitive processes may deviate in clinical disorders, an important intermediary step towards improving translational psychiatry.
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Affiliation(s)
- Veronika Vilgis
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Debbie Yee
- Washington University in St. Louis, St. Louis, MO, USA.
- Cognitive, Linguistic & Psychological Sciences, Brown University, Box 182, Metcalf Research Building, 190 Thayer Street, Providence, RI, 02912, USA.
| | - Tim J Silk
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Australia
- School of Psychology, Deakin University, Providence, Australia
| | - Alasdair Vance
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
- School of Psychology, Deakin University, Providence, Australia
- Royal Children's Hospital, Parkville, Australia
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18
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Comparison of domain specific connectivity metrics for estimation brain network indices in boys with ADHD-C. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103626] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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19
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Fateh AA, Huang W, Mo T, Wang X, Luo Y, Yang B, Smahi A, Fang D, Zhang L, Meng X, Zeng H. Abnormal Insular Dynamic Functional Connectivity and Its Relation to Social Dysfunctioning in Children With Attention Deficit/Hyperactivity Disorder. Front Neurosci 2022; 16:890596. [PMID: 35712452 PMCID: PMC9197452 DOI: 10.3389/fnins.2022.890596] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 05/09/2022] [Indexed: 11/29/2022] Open
Abstract
Anomalies in large-scale cognitive control networks impacting social attention abilities are hypothesized to be the cause of attention deficit hyperactivity disorder (ADHD). The precise nature of abnormal brain functional connectivity (FC) dynamics including other regions, on the other hand, is unknown. The concept that insular dynamic FC (dFC) among distinct brain regions is dysregulated in children with ADHD was evaluated using Insular subregions, and we studied how these dysregulations lead to social dysfunctioning. Data from 30 children with ADHD and 28 healthy controls (HCs) were evaluated using dynamic resting state functional magnetic resonance imaging (rs-fMRI). We evaluated the dFC within six subdivisions, namely both left and right dorsal anterior insula (dAI), ventral anterior insula (vAI), and posterior insula (PI). Using the insular sub-regions as seeds, we performed group comparison between the two groups. To do so, two sample t-tests were used, followed by post-hoc t-tests. Compared to the HCs, patients with ADHD exhibited decreased dFC values between right dAI and the left middle frontal gyrus, left postcentral gyrus and right of cerebellum crus, respectively. Results also showed a decreased dFC between left dAI and thalamus, left vAI and left precuneus and left PI with temporal pole. From the standpoint of the dynamic functional connectivity of insular subregions, our findings add to the growing body of evidence on brain dysfunction in ADHD. This research adds to our understanding of the neurocognitive mechanisms behind social functioning deficits in ADHD. Future ADHD research could benefit from merging the dFC approach with task-related fMRI and non-invasive brain stimulation, which could aid in the diagnosis and treatment of the disorder.
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Affiliation(s)
- Ahmed Ameen Fateh
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Wenxian Huang
- Children's Healthcare, Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
| | - Tong Mo
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Xiaoyu Wang
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Yi Luo
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Binrang Yang
- Children's Healthcare, Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
| | - Abla Smahi
- Shenzhen Graduate School, Peking University, Shenzhen, China
| | - Diangang Fang
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Linlin Zhang
- Children's Healthcare, Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
| | - Xianlei Meng
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen, China
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20
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Using resting thalamic connectivity to identify the relationship between Eysenck personality traits and intelligence in healthy adults. Brain Res 2022; 1787:147922. [PMID: 35460643 DOI: 10.1016/j.brainres.2022.147922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 04/05/2022] [Accepted: 04/15/2022] [Indexed: 11/23/2022]
Abstract
Personality refers to a set of relatively stable psychological characteristics of individuals and has been associated with intelligence. It is well known that the thalamus plays an important role in cognitive processes and personality traits, but the relationship between personality traits, thalamic function, and intelligence has rarely been directly explored. Hence, we investigated the relationship between Eysenck personality traits, resting-state functional connectivity (rsFC) of the thalamus, and intelligence in a large sample of healthy adults (N = 176). We found that the trait of psychoticism was negatively associated with intelligence. The high intelligence group showed significantly lower psychoticism and demonstrated enhanced thalamic connectivity to the amygdala, inferior parietal lobules, pallidum, medial superior/middle frontal gyrus, and precuneus. Furthermore, a mediation analysis indicated that the FC between the left thalamus and left amygdala significantly mediated the correlation between psychoticism and full IQ (FIQ). These findings suggest that intelligent people may be less prone to psychoticism. Meanwhile, thalamic rsFC may reflect individual differences in intelligence and play a key role in the relationship between personality traits and intellectual abilities.
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21
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Gupta A, Bansal R, Alashwal H, Kacar AS, Balci F, Moustafa AA. Neural Substrates of the Drift-Diffusion Model in Brain Disorders. Front Comput Neurosci 2022; 15:678232. [PMID: 35069160 PMCID: PMC8776710 DOI: 10.3389/fncom.2021.678232] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 11/25/2021] [Indexed: 12/01/2022] Open
Abstract
Many studies on the drift-diffusion model (DDM) explain decision-making based on a unified analysis of both accuracy and response times. This review provides an in-depth account of the recent advances in DDM research which ground different DDM parameters on several brain areas, including the cortex and basal ganglia. Furthermore, we discuss the changes in DDM parameters due to structural and functional impairments in several clinical disorders, including Parkinson's disease, Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorders, Obsessive-Compulsive Disorder (OCD), and schizophrenia. This review thus uses DDM to provide a theoretical understanding of different brain disorders.
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Affiliation(s)
- Ankur Gupta
- CNRS UMR 5293, Institut des Maladies Neurodégénératives, Université de Bordeaux, Bordeaux, France
| | - Rohini Bansal
- Department of Medical Neurobiology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Hany Alashwal
- College of Information Technology, United Arab Emirates University, Al-Ain, United Arab Emirates
- *Correspondence: Hany Alashwal
| | - Anil Safak Kacar
- Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Fuat Balci
- Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Ahmed A. Moustafa
- School of Psychology & Marcs Institute for Brain and Behaviour, Western Sydney University, Sydney, NSW, Australia
- School of Psychology, Faculty of Society and Design, Bond University, Robina, QLD, Australia
- Faculty of Health Sciences, Department of Human Anatomy and Physiology, University of Johannesburg, Johannesburg, South Africa
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22
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Ge X, Zheng Y, Qiao Y, Pan N, Simon JP, Lee M, Jiang W, Kim H, Shi Y, Liu M. Hippocampal Asymmetry of Regional Development and Structural Covariance in Preterm Neonates. Cereb Cortex 2021; 32:4271-4283. [PMID: 34969086 DOI: 10.1093/cercor/bhab481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 11/21/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
Premature birth is associated with a high prevalence of neurodevelopmental impairments in surviving infants. The hippocampus is known to be critical for learning and memory, yet the putative effects of hippocampal dysfunction remain poorly understood in preterm neonates. In particular, while asymmetry of the hippocampus has been well noted both structurally and functionally, how preterm birth impairs hippocampal development and to what extent the hippocampus is asymmetrically impaired by preterm birth have not been well delineated. In this study, we compared volumetric growth and shape development in the hippocampal hemispheres and structural covariance (SC) between hippocampal vertices and cortical thickness in cerebral cortex regions between two groups. We found that premature infants had smaller volumes of the right hippocampi only. Lower thickness was observed in the hippocampal head in both hemispheres for preterm neonates compared with full-term peers, though preterm neonates exhibited an accelerated age-related change of hippocampal thickness in the left hippocampi. The SC between the left hippocampi and the limbic lobe of the premature infants was severely impaired compared with the term-born neonates. These findings suggested that the development of the hippocampus during the third trimester may be altered following early extrauterine exposure with a high degree of asymmetry.
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Affiliation(s)
- Xinting Ge
- School of Information Science and Engineering, Shandong Normal University, 250014 Jinan, China.,Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.,School of Medical Imaging, Xuzhou Medical University, 221004 Xuzhou, China
| | - Yuanjie Zheng
- School of Information Science and Engineering, Shandong Normal University, 250014 Jinan, China
| | - Yuchuan Qiao
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Ningning Pan
- School of Information Science and Engineering, Shandong Normal University, 250014 Jinan, China
| | - Julia Pia Simon
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Mitchell Lee
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Wenjuan Jiang
- College of Pharmacy, Western University of Health Sciences, Pomona, CA 91766, USA
| | - Hosung Kim
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yonggang Shi
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Mengting Liu
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
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23
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Lan Z, Sun Y, Zhao L, Xiao Y, Kuai C, Xue SW. Aberrant Effective Connectivity of the Ventral Putamen in Boys With Attention-Deficit/Hyperactivity Disorder. Psychiatry Investig 2021; 18:763-769. [PMID: 34380296 PMCID: PMC8390946 DOI: 10.30773/pi.2020.0422] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 06/03/2021] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE The connectivity alterations in the putamen were found in revealing the neural correlates of attention-deficit/hyperactivity disorder (ADHD), but whether the effective connectivity of the putamen is atypical in ADHD remains unclear. Investigating this abnormality contributes to describing the neural circuit of ADHD at the level of macrostructural organization. METHODS Data were acquired from thirty-two boys with ADHD and fifty-two matched typically developing controls (TDC) from Peking University (Peking) dataset deposited at the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) platform. We examined the effective connectivity of the putamen using Granger causality analysis (GCA) and then determined whether these connections could differentiate ADHD from TDC. RESULTS Compared with TDC, the ADHD group showed decreased effective connectivity from the left ventral rostral putamen (VRP) to left calcarine (CAL), right medial part of the superior frontal gyrus, left orbital part of superior frontal gyrus and left middle occipital gyrus (MOG). Increased effective connectivity from the left inferior occipital gyrus and right lingual gyrus to left VRP was also found in ADHD. The result of the classification accuracy showed that 72.3% of participants were correctly classified using support vector machine. Moreover, GCA values from the left VRP to left CAL and left MOG were significantly correlated with hyper/impulsive scores of patients with ADHD. CONCLUSION The findings may help extend our understanding of the ADHD-related neural loops.
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Affiliation(s)
- Zhihui Lan
- Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China.,Institute of Psychological Science, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Yunkai Sun
- Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China.,Institute of Psychological Science, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Lei Zhao
- Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China.,Institute of Psychological Science, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Yang Xiao
- Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China.,Institute of Psychological Science, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Changxiao Kuai
- Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China.,Institute of Psychological Science, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Shao-Wei Xue
- Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China.,Institute of Psychological Science, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
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24
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Genetic variations influence brain changes in patients with attention-deficit hyperactivity disorder. Transl Psychiatry 2021; 11:349. [PMID: 34091591 PMCID: PMC8179928 DOI: 10.1038/s41398-021-01473-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 05/04/2021] [Accepted: 05/12/2021] [Indexed: 12/12/2022] Open
Abstract
Attention-deficit hyperactivity disorder (ADHD) is a neurological and neurodevelopmental childhood-onset disorder characterized by a persistent pattern of inattentiveness, impulsiveness, restlessness, and hyperactivity. These symptoms may continue in 55-66% of cases from childhood into adulthood. Even though the precise etiology of ADHD is not fully understood, it is considered as a multifactorial and heterogeneous disorder with several contributing factors such as heritability, auxiliary to neurodevelopmental issues, severe brain injuries, neuroinflammation, consanguineous marriages, premature birth, and exposure to environmental toxins. Neuroimaging and neurodevelopmental assessments may help to explore the possible role of genetic variations on ADHD neuropsychobiology. Multiple genetic studies have observed a strong genetic association with various aspects of neuropsychobiological functions, including neural abnormalities and delayed neurodevelopment in ADHD. The advancement in neuroimaging and molecular genomics offers the opportunity to analyze the impact of genetic variations alongside its dysregulated pathways on structural and functional derived brain imaging phenotypes in various neurological and psychiatric disorders, including ADHD. Recently, neuroimaging genomic studies observed a significant association of brain imaging phenotypes with genetic susceptibility in ADHD. Integrating the neuroimaging-derived phenotypes with genomics deciphers various neurobiological pathways that can be leveraged for the development of novel clinical biomarkers, new treatment modalities as well as therapeutic interventions for ADHD patients. In this review, we discuss the neurobiology of ADHD with particular emphasis on structural and functional changes in the ADHD brain and their interactions with complex genomic variations utilizing imaging genetics methodologies. We also highlight the genetic variants supposedly allied with the development of ADHD and how these, in turn, may affect the brain circuit function and related behaviors. In addition to reviewing imaging genetic studies, we also examine the need for complementary approaches at various levels of biological complexity and emphasize the importance of combining and integrating results to explore biological pathways involved in ADHD disorder. These approaches include animal models, computational biology, bioinformatics analyses, and multimodal imaging genetics studies.
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25
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Beneath the surface: hyper-connectivity between caudate and salience regions in ADHD fMRI at rest. Eur Child Adolesc Psychiatry 2021; 30:619-631. [PMID: 32385695 DOI: 10.1007/s00787-020-01545-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 04/24/2020] [Indexed: 12/12/2022]
Abstract
Attention-Deficit/Hyperactivity Disorder (ADHD) comprises disturbances in attention, emotional regulation, and reward-related processes. In spite of the active efforts in researching neurofunctional correlates of these symptoms, how the activity of subcortical regions-such as basal ganglia-is related to ADHD has yet to be clarified. More specifically, how age may influence the critical changes observed in functional dynamics from childhood to adulthood remains relatively unexplored. We hence selected five core subcortical regions (amygdala, caudate, putamen, pallidum and hippocampus) as regions of interest from the previous literature, measuring their whole-brain voxel-wise rsFC in a sample of 95 ADHD and 90 neurotypical children and adolescents aged from 7 to 18. The only subcortical structure showing significant differences in rsFC was the caudate nucleus. Specifically, we measured increased rsFC with anterior cingulate and right insula, two mesolimbic regions pertaining to the Salience Network. The degree of hyper-rsFC positively correlated with ADHD symptomatology, and showed different patterns of evolution in ADHD vs neurotypical subjects. Finally, the rsFC scores allowed a fair discrimination of the ADHD group (Area Under the Curve ≥ 0.7). These findings shed further light on the fundamental role covered by subcortical structures in ADHD pathogenesis and neurodevelopment, providing new evidence to fill the gap between neurofunctional and clinical expressions of ADHD.
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26
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Race, Socioeconomic Status, and Cerebellum Cortex Fractional Anisotropy in Pre-Adolescents. ADOLESCENTS 2021; 1:70-94. [PMID: 34095893 DOI: 10.3390/adolescents1020007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Introduction Cerebellum cortex fractional anisotropy is a proxy of the integrity of the cerebellum cortex. However, less is known about how it is shaped by race and socioeconomic status (SES) indicators such as parental education and household income. Purpose In a national sample of American pre-adolescents, this study had two aims: to test the effects of two SES indicators, namely parental education and household income, on cerebellum cortex fractional anisotropy, and to explore racial differences in these effects. Methods Using data from the Adolescent Brain Cognitive Development (ABCD) study, we analyzed the diffusion Magnetic Resonance Imaging (dMRI) data of 9565, 9-10-year-old pre-adolescents. The main outcomes were cerebellum cortex fractional anisotropy separately calculated for right and left hemispheres using dMRI. The independent variables were parental education and household income; both treated as categorical variables. Age, sex, ethnicity, and family marital status were the covariates. Race was the moderator. To analyze the data, we used mixed-effects regression models without and with interaction terms. We controlled for propensity score and MRI device. Results High parental education and household income were associated with lower right and left cerebellum cortex fractional anisotropy. In the pooled sample, we found significant interactions between race and parental education and household income, suggesting that the effects of parental education and household income on the right and left cerebellum cortex fractional anisotropy are all significantly larger for White than for Black pre-adolescents. Conclusions The effects of SES indicators, namely parental education and household income, on pre-adolescents' cerebellum cortex microstructure and integrity are weaker in Black than in White families. This finding is in line with the Marginalization-related Diminished Returns (MDRs), defined as weaker effects of SES indicators for Blacks and other racial and minority groups than for Whites.
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27
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Arfuso M, Salas R, Castellanos FX, Krain Roy A. Evidence of Altered Habenular Intrinsic Functional Connectivity in Pediatric ADHD. J Atten Disord 2021; 25:749-757. [PMID: 31014160 PMCID: PMC9295305 DOI: 10.1177/1087054719843177] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Objective: The habenula is a small region in the epithalamus that contributes to the regulation of midbrain dopaminergic circuits implicated in attention-deficit hyperactivity disorder (ADHD). This investigation aims to evaluate the intrinsic functional connectivity (iFC) of the habenula in children with ADHD. Method: A total of 112 children (5-9 years; 75 ADHD, 37 healthy comparisons) completed anatomical and resting-state functional magnetic resonance imaging (MRI) scans. Habenula regions of interest (ROIs) were identified individually on normalized T1-weighted anatomical images. Seed-based iFC analyses and group comparisons were conducted for habenula ROIs, as well as thalamic ROIs to test the specificity of habenula findings. Results: Children with ADHD exhibited reduced habenula-putamen iFC compared with healthy comparisons. Group differences in thalamic iFC showed no overlap with habenular findings. Conclusion: These preliminary findings suggest that habenula-putamen iFC may be disrupted in children with ADHD. Further work is needed to confirm and elucidate the role of this circuit in ADHD pathophysiology.
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28
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Hua MH, Chen YL, Chen MH, Huang KL, Hsu JW, Bai YM, Tsai SJ, Wu YT. Network-Specific Corticothalamic Dysconnection in Attention-Deficit Hyperactivity Disorder. J Dev Behav Pediatr 2021; 42:122-127. [PMID: 33086337 DOI: 10.1097/dbp.0000000000000875] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 08/04/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND Functional connectivity (FC) is believed to be abnormal in attention-deficit hyperactivity disorder (ADHD). Most studies have focused on frontostriatal systems, and the role of the thalamic network in ADHD remains unclear. The current study used FC magnetic resonance imaging (fcMRI) to explore corticothalamic network properties and correlated network dysconnection with ADHD symptom severity. METHODS Eighteen adolescents with ADHD and 16 healthy controls aged 12 to 17 years underwent resting functional MRI scans, clinical evaluations, and 2 parent rating scales, namely the Swanson, Nolan, and Pelham IV scale and the Child Behavior Checklist. Six a priori cortical regions of interest were used to derive 6 networks: the dorsal default mode network, frontoparietal network, cingulo-opercular network (CON), primary sensorimotor network (SM1), primary auditory network, and primary visual network (V1). The corticothalamic connectivity for each network was calculated for each participant and then compared between the groups. We also compared the 2 scales with the network connectivity. RESULTS The corticothalamic connectivity within the CON was significantly reduced (p < 0.05) among adolescents with ADHD compared with the controls. The corticothalamic dysconnection within the CON, SM1, and V1 networks negatively correlated with ADHD symptom severity. CONCLUSION This network analysis indicates that corticothalamic dysconnection in ADHD involves the CON, SM1, and V1 networks and relates to symptom severity. The findings provide evidence of dysfunctional thalamus-related networks in ADHD.
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Affiliation(s)
- Mao-Hsiu Hua
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
| | - Yen-Ling Chen
- Department of Psychiatry, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
| | - Kai-Lin Huang
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Ju-Wei Hsu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Yu-Te Wu
- Department of Psychiatry, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
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29
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Wang P, Jiang X, Chen H, Zhang S, Li X, Cao Q, Sun L, Liu L, Yang B, Wang Y. Assessing Fine-Granularity Structural and Functional Connectivity in Children With Attention Deficit Hyperactivity Disorder. Front Hum Neurosci 2020; 14:594830. [PMID: 33281588 PMCID: PMC7691597 DOI: 10.3389/fnhum.2020.594830] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 10/16/2020] [Indexed: 11/13/2022] Open
Abstract
Attention deficit hyperactivity disorder (ADHD) was considered to be a disorder with high heterogeneity, as various abnormalities were found across widespread brain regions in recent neuroimaging studies. However, remarkable individual variability of cortical structure and function may have partially contributed to these discrepant findings. In this work, we applied the Dense Individualized and Common Connectivity-Based Cortical Landmarks (DICCCOL) method to identify fine-granularity corresponding functional cortical regions across different subjects based on the shape of a white matter fiber bundle and measured functional connectivities between these cortical regions. Fiber bundle pattern and functional connectivity were compared between ADHD patients and normal controls in two independent samples. Interestingly, four neighboring DICCCOLs located close to the left parietooccipital area consistently exhibited discrepant fiber bundles in both datasets. The left precentral gyrus (DICCCOL 175, BA 6) and the right anterior cingulate gyrus (DICCCOL 321, BA 32) had the highest connection number among 78 pairs of abnormal functional connectivities with good cross-sample consistency. Furthermore, abnormal functional connectivities were significantly correlated with ADHD symptoms. Our studies revealed novel fine-granularity structural and functional alterations in ADHD.
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Affiliation(s)
- Peng Wang
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders and the Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China.,Shenzhen Children's Hospital, Shenzhen, China
| | - Xi Jiang
- School of Life Sciences and Technology, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, University of Georgia, Athens, GA, United States
| | - Hanbo Chen
- Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, University of Georgia, Athens, GA, United States
| | - Shu Zhang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
| | - Xiang Li
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Qingjiu Cao
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders and the Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Li Sun
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders and the Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Lu Liu
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders and the Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | | | - Yufeng Wang
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders and the Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
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30
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Sutcubasi B, Metin B, Kurban MK, Metin ZE, Beser B, Sonuga-Barke E. Resting-state network dysconnectivity in ADHD: A system-neuroscience-based meta-analysis. World J Biol Psychiatry 2020; 21:662-672. [PMID: 32468880 DOI: 10.1080/15622975.2020.1775889] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVES Neuroimaging studies report altered resting-state functional connectivity in attention deficit/hyperactivity disorder (ADHD) across multiple brain systems. However, there is inconsistency among individual studies. METHODS We meta-analyzed seed-based resting state studies of ADHD connectivity within and between four established resting state brain networks (default mode, cognitive control, salience, affective/motivational) using Multilevel Kernel Density Analysis method. RESULTS Twenty studies with 944 ADHD patients and 1121 controls were included in the analysis. Compared to controls, ADHD was associated with disrupted within-default mode network (DMN) connectivity - reduced in the core (i.e. posterior cingulate cortex seed) but elevated in the dorsal medial prefrontal cortex sub-system (i.e. temporal pole-inferior frontal gyrus). Connectivity was elevated between nodes in the cognitive control system. When the analysis was restricted to children and adolescents, additional reduced connectivity was detected between DMN and cognitive control and affective/motivational and salience networks. CONCLUSIONS Our data are consistent with the hypothesis that paediatric ADHD is a DMN-dysconnectivity disorder with reduced connectivity both within the core DMN sub-system and between that system and a broad set of nodes in systems involved in cognition and motivation.
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Affiliation(s)
- Bernis Sutcubasi
- Department of Psychology, Faculty of Humanities and Social Sciences, Uskudar University, Istanbul, Turkey
| | - Baris Metin
- Department of Psychology, Faculty of Humanities and Social Sciences, Uskudar University, Istanbul, Turkey
| | - Mustafa Kerem Kurban
- Department of Molecular Biology and Genetics, Bogazici University, Istanbul, Turkey.,Interdisiplinary Graduate Program in Neuroscience, Bilkent University, Ankara, Turkey
| | | | - Birsu Beser
- Department of Neuroscience, İstanbul University, Istanbul, Turkey
| | - Edmund Sonuga-Barke
- Department of Developmental Psychology, Psychiatry & Neuroscience, King's College London, Denmark Hill, UK
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31
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Saad JF, Griffiths KR, Korgaonkar MS. A Systematic Review of Imaging Studies in the Combined and Inattentive Subtypes of Attention Deficit Hyperactivity Disorder. Front Integr Neurosci 2020; 14:31. [PMID: 32670028 PMCID: PMC7327109 DOI: 10.3389/fnint.2020.00031] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 05/07/2020] [Indexed: 12/12/2022] Open
Abstract
Objective: Insights to underlying neural mechanisms in attention deficit hyperactivity disorder (ADHD) have emerged from neuroimaging research; however, the neural mechanisms that distinguish ADHD subtypes remain inconclusive. Method: We reviewed 19 studies integrating magnetic resonance imaging [MRI; structural (sMRI), diffusion, functional MRI (fMRI)] findings into a framework exploring pathophysiological mechanisms underlying the combined (ADHD-C) and predominantly inattentive (ADHD-I) ADHD subtypes. Results: Despite equivocal structural MRI results, findings from fMRI and DTI imaging modalities consistently implicate disrupted connectivity in regions and tracts involving frontal striatal thalamic in ADHD-C and frontoparietal neural networks in ADHD-I. Alterations of the default mode, cerebellum, and motor networks in ADHD-C and cingulo-frontoparietal attention and visual networks in ADHD-I highlight network organization differences between subtypes. Conclusion: Growing evidence from neuroimaging studies highlight neurobiological differences between ADHD clinical subtypes, particularly from a network perspective. Understanding brain network organization and connectivity may help us to better conceptualize the ADHD types and their symptom variability.
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Affiliation(s)
- Jacqueline Fifi Saad
- Brain Dynamics Centre, Westmead Institute for Medical Research, Westmead Hospital, Sydney, NSW, Australia.,The Discipline of Psychiatry, Sydney Medical School, The University of Sydney, Camperdown, NSW, Australia
| | - Kristi R Griffiths
- Brain Dynamics Centre, Westmead Institute for Medical Research, Westmead Hospital, Sydney, NSW, Australia.,The Discipline of Psychiatry, Sydney Medical School, The University of Sydney, Camperdown, NSW, Australia
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, Westmead Hospital, Sydney, NSW, Australia.,The Discipline of Psychiatry, Sydney Medical School, The University of Sydney, Camperdown, NSW, Australia
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32
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Hermosillo RJM, Mooney MA, Fezcko E, Earl E, Marr M, Sturgeon D, Perrone A, Dominguez OM, Faraone SV, Wilmot B, Nigg JT, Fair DA. Polygenic Risk Score-Derived Subcortical Connectivity Mediates Attention-Deficit/Hyperactivity Disorder Diagnosis. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:330-341. [PMID: 32033925 PMCID: PMC7147985 DOI: 10.1016/j.bpsc.2019.11.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 11/07/2019] [Accepted: 11/21/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) has substantial heritability, and a recent large-scale investigation has identified common genome-wide significant loci associated with increased risk for ADHD. Along the same lines, many studies using noninvasive neuroimaging have identified differences in brain functional connectivity in children with ADHD. We attempted to bridge these studies to identify differences in functional connectivity associated with common genetic risk for ADHD using polygenic risk score (PRS). METHODS We computed ADHD PRSs for all participants in our sample (N = 315, children 7-13 years of age, 196 with ADHD and 119 unaffected comparison children) using ADHD data from the Psychiatric Genomics Consortium as a discovery set. Magnetic resonance imaging was used to evaluate resting-state functional connectivity of targeted subcortical structures. RESULTS The functional connectivity between 2 region pairs demonstrated a significant correlation to PRS: right caudate-parietal cortex and nucleus accumbens-occipital cortex. Connectivity between these areas, in addition to being correlated with PRS, was correlated with ADHD status. The connection between the caudate and the parietal region acted as a statistical suppressor, such that when it was included in a path model, the association between PRS and ADHD status was enhanced. CONCLUSIONS Our results suggest that functional connectivity to certain subcortical brain regions is directly altered by genetic variants, and certain cortico-subcortical connections may modulate ADHD-related genetic effects.
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Affiliation(s)
- Robert J M Hermosillo
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon.
| | - Michael A Mooney
- Division of Bioinformatics & Computational Biology, Oregon Health & Science University, Portland, Oregon; Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
| | - Eric Fezcko
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon
| | - Eric Earl
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon
| | - Mollie Marr
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon
| | - Darrick Sturgeon
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon
| | - Anders Perrone
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon
| | | | - Stephen V Faraone
- Department of Psychiatry, Upstate Medical University, Syracuse, New York; Department of Neuroscience and Physiology, Upstate Medical University, Syracuse, New York
| | - Beth Wilmot
- Division of Bioinformatics & Computational Biology, Oregon Health & Science University, Portland, Oregon; Oregon Clinical and Translational Research Institute, Portland, Oregon
| | - Joel T Nigg
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon; Division of Psychology, Oregon Health & Science University, Portland, Oregon
| | - Damien A Fair
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon; Department of Psychiatry, and Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon.
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Fair DA, Miranda-Dominguez O, Snyder AZ, Perrone A, Earl EA, Van AN, Koller JM, Feczko E, Tisdall MD, van der Kouwe A, Klein RL, Mirro AE, Hampton JM, Adeyemo B, Laumann TO, Gratton C, Greene DJ, Schlaggar BL, Hagler DJ, Watts R, Garavan H, Barch DM, Nigg JT, Petersen SE, Dale AM, Feldstein-Ewing SW, Nagel BJ, Dosenbach NU. Correction of respiratory artifacts in MRI head motion estimates. Neuroimage 2020; 208:116400. [PMID: 31778819 PMCID: PMC7307712 DOI: 10.1016/j.neuroimage.2019.116400] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 11/19/2019] [Accepted: 11/23/2019] [Indexed: 02/08/2023] Open
Abstract
Head motion represents one of the greatest technical obstacles in magnetic resonance imaging (MRI) of the human brain. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, head motion estimates may be corrupted by artifacts due to magnetic main field fluctuations generated by body motion. In the current report, we examine head motion estimation in multiband resting state functional connectivity MRI (rs-fcMRI) data from the Adolescent Brain and Cognitive Development (ABCD) Study and comparison 'single-shot' datasets. We show that respirations contaminate movement estimates in functional MRI and that respiration generates apparent head motion not associated with functional MRI quality reductions. We have developed a novel approach using a band-stop filter that accurately removes these respiratory effects from motion estimates. Subsequently, we demonstrate that utilizing a band-stop filter improves post-processing fMRI data quality. Lastly, we demonstrate the real-time implementation of motion estimate filtering in our FIRMM (Framewise Integrated Real-Time MRI Monitoring) software package.
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Affiliation(s)
- Damien A. Fair
- Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA.,Department of Psychiatry, Oregon Health & Sciences University, Portland, OR, USA.,Advanced Imaging Research Center, Oregon Health & Sciences University, Portland, OR, USA.,To whom correspondence should be addressed. ,
| | - Oscar Miranda-Dominguez
- Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA
| | - Abraham Z. Snyder
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Anders Perrone
- Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA
| | - Eric A. Earl
- Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA
| | - Andrew N. Van
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
| | - Jonathan M. Koller
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric Feczko
- Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA.,Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Sciences University, Portland OR, USA
| | - M. Dylan Tisdall
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andre van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA USA
| | - Rachel L. Klein
- Department of Psychiatry, Oregon Health & Sciences University, Portland, OR, USA
| | - Amy E. Mirro
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Jacqueline M. Hampton
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Babatunde Adeyemo
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Timothy O. Laumann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Caterina Gratton
- Department of Psychology & Neurology, Northwestern University, Chicago, IL, USA
| | - Deanna J. Greene
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Bradley L. Schlaggar
- Kennedy Krieger Institute, Baltimore, MD, USA; Department of Neurology; Johns Hopkins University; Baltimore; MD; USA Department of Pediatrics; Johns Hopkins University
| | - Donald J. Hagler
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Richard Watts
- FAS Brain Imaging Center, Yale University, New Haven, CT, USA
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Deanna M. Barch
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.,Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, USA
| | - Joel T. Nigg
- Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA.,Department of Psychiatry, Oregon Health & Sciences University, Portland, OR, USA
| | - Steven E. Petersen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Biomedical Engineering, Washington University, St. Louis, MO, USA,Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, USA,Department of Neuroscience, Washington University, St. Louis, MO, USA
| | - Anders M. Dale
- Department of Radiology, University of California San Diego, La Jolla, CA, USA,Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | | | - Bonnie J. Nagel
- Department of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA.,Department of Psychiatry, Oregon Health & Sciences University, Portland, OR, USA
| | - Nico U.F. Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Biomedical Engineering, Washington University, St. Louis, MO, USA,Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA,Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA,To whom correspondence should be addressed. ,
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Boon HJ. What do ADHD Neuroimaging Studies Reveal for Teachers, Teacher Educators and Inclusive Education? CHILD & YOUTH CARE FORUM 2020. [DOI: 10.1007/s10566-019-09542-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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35
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Muthuraman M, Moliadze V, Boecher L, Siemann J, Freitag CM, Groppa S, Siniatchkin M. Multimodal alterations of directed connectivity profiles in patients with attention-deficit/hyperactivity disorders. Sci Rep 2019; 9:20028. [PMID: 31882672 PMCID: PMC6934806 DOI: 10.1038/s41598-019-56398-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 11/22/2019] [Indexed: 12/23/2022] Open
Abstract
Functional and effective connectivity measures for tracking brain region interactions that have been investigated using both electroencephalography (EEG) and magnetoencephalography (MEG) bringing up new insights into clinical research. However, the differences between these connectivity methods, especially at the source level, have not yet been systematically studied. The dynamic characterization of coherent sources and temporal partial directed coherence, as measures of functional and effective connectivity, were applied to multimodal resting EEG and MEG data obtained from 11 young patients (mean age 13.2 ± 1.5 years) with attention-deficit/hyperactivity disorder (ADHD) and age-matched healthy subjects. Additionally, machine-learning algorithms were applied to the extracted connectivity features to identify biomarkers differentiating the two groups. An altered thalamo-cortical connectivity profile was attested in patients with ADHD who showed solely information outflow from cortical regions in comparison to healthy controls who exhibited bidirectional interregional connectivity in alpha, beta, and gamma frequency bands. We achieved an accuracy of 98% by combining features from all five studied frequency bands. Our findings suggest that both types of connectivity as extracted from EEG or MEG are sensitive methods to investigate neuronal network features in neuropsychiatric disorders. The connectivity features investigated here can be further tested as biomarkers of ADHD.
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Affiliation(s)
- Muthuraman Muthuraman
- Department of Neurology, Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
| | - Vera Moliadze
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany
| | - Lena Boecher
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany
| | - Julia Siemann
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy Bethel, Ev. Hospital Bielefeld, Bielefeld, Germany
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany
| | - Sergiu Groppa
- Department of Neurology, Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Michael Siniatchkin
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt am Main, Goethe University, Frankfurt am Main, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy Bethel, Ev. Hospital Bielefeld, Bielefeld, Germany
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36
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Gao Y, Shuai D, Bu X, Hu X, Tang S, Zhang L, Li H, Hu X, Lu L, Gong Q, Huang X. Impairments of large-scale functional networks in attention-deficit/hyperactivity disorder: a meta-analysis of resting-state functional connectivity. Psychol Med 2019; 49:2475-2485. [PMID: 31500674 DOI: 10.1017/s003329171900237x] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Altered resting-state functional connectivity (rsFC) has been noted in large-scale functional networks in attention-deficit/hyperactivity disorder (ADHD). However, identifying consistent abnormalities of functional networks is difficult due to varied methods and results across studies. To integrate rsFC alterations and search for coherent patterns of intrinsic functional network impairments in ADHD, this research conducts a coordinate-based meta-analysis of voxel-wise seed-based rsFC studies comparing rsFC between ADHD patients and healthy controls. A total of 25 datasets from 21 studies including 700 ADHD patients and 580 controls were analyzed. We extracted the coordinates of seeds and between-group effects. Each seed was then categorized into a seed-network by its location within priori 7-network parcellations. Then, pooled meta-analyses were conducted for the default mode network (DMN), frontoparietal network (FPN) and affective network (AN) separately, but not for the ventral attention network (VAN), dorsal attention network (DAN), somatosensory network (SSN) and visual network due to a lack of primary studies. The results showed that ADHD was characterized by hyperconnectivity between the FPN and regions of the DMN and AN as well as hypoconnectivity between the FPN and regions of the VAN and SSN. These findings not only support the triple-network model of pathophysiology associated with ADHD but also extend this model by highlighting the involvement of the SSN and AN in the mechanisms of network interactions that may account for motor hyperactivity and impulsive symptoms.
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Affiliation(s)
- Yingxue Gao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Dandan Shuai
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Xuan Bu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Shi Tang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Xiaoxiao Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, PR China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, PR China
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37
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Vawter MP, Hamzeh AR, Muradyan E, Civelli O, Abbott GW, Alachkar A. Association of Myoinositol Transporters with Schizophrenia and Bipolar Disorder: Evidence from Human and Animal Studies. MOLECULAR NEUROPSYCHIATRY 2019; 5:200-211. [PMID: 31768373 PMCID: PMC6873027 DOI: 10.1159/000501125] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 05/21/2019] [Indexed: 12/12/2022]
Abstract
Evidence from animal and human studies has linked myo-inositol (MI) with the pathophysiology and/or treatment of psychiatric disorders such as schizophrenia and bipolar disorder. However, there is still controversy surrounding the definitive role of MI in these disorders. Given that brain MI is differentially regulated by three transporters - SMIT1, SMIT2 and/or HMIT (encoded by the genes: SLC5A3, SLC5A11, and SLC2A13, respectively) - we used available datasets to describe the distribution in mouse and human brain of the different MI transporters and to examine changes in mRNA expression of these transporters in patients with schizophrenia and bipolar disorder. We found a differential distribution of the mRNA of each of the three MI transporters in both human and mouse brain regions. Interestingly, while individual neurons express SMIT1 and HMIT, non-neuronal cells express SMIT2, thus partially accounting for different uptake levels of MI and concordance to downstream second messenger signaling pathways. We also found that the expression of MI transporters is significantly changed in schizophrenia and bipolar disorder in a diagnostic-, brain region- and subtype-specific manner. We then examined the effects of germline deletion in mice of Slc5a3 on behavioral phenotypes related to schizophrenia and bipolar disorder. This gene deletion produces behavioral deficits that mirror some specific symptoms of schizophrenia and bipolar disorder. Finally, chronic administration of MI was able to reverse particular, but not all, behavioral deficits in Slc5a3 knockout mice; MI itself induced some behavioral deficits. Our data support a strong correlation between the expression of MI transporters and schizophrenia and bipolar disorder, and suggest that brain region-specific aberration of one or more of these transporters determines the partial behavioral phenotypes and/or symptomatic pattern of these disorders.
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Affiliation(s)
- Marquis P. Vawter
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, California, USA
| | - Abdul Rezzak Hamzeh
- John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Edgar Muradyan
- Department of Pharmacology, School of Medicine, University of California, Irvine, Irvine, California, USA
| | - Olivier Civelli
- Department of Pharmacology, School of Medicine, University of California, Irvine, Irvine, California, USA
- Department of Pharmaceutical Sciences, School of Medicine, University of California, Irvine, Irvine, California, USA
- Department of Developmental and Cell Biology, School of Medicine, University of California, Irvine, Irvine, California, USA
| | - Geoffrey W. Abbott
- Bioelectricity Laboratory, Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, Irvine, California, USA
| | - Amal Alachkar
- Department of Pharmacology, School of Medicine, University of California, Irvine, Irvine, California, USA
- Department of Pharmaceutical Sciences, School of Medicine, University of California, Irvine, Irvine, California, USA
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38
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Thomas E, Buss C, Rasmussen JM, Entringer S, Ramirez JSB, Marr M, Rudolph MD, Gilmore JH, Styner M, Wadhwa PD, Fair DA, Graham AM. Newborn amygdala connectivity and early emerging fear. Dev Cogn Neurosci 2019; 37:100604. [PMID: 30581123 PMCID: PMC6538430 DOI: 10.1016/j.dcn.2018.12.002] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 12/05/2018] [Accepted: 12/05/2018] [Indexed: 12/21/2022] Open
Abstract
Connectivity between the amygdala, insula (Amygdala-aI) and ventral medial prefrontal cortex (Amygdala-vmPFC) have been implicated in individual variability in fear and vulnerability to psychiatric disorders. However, it is currently unknown to what extent connectivity between these regions in the newborn period is relevant for the development of fear and other aspects of negative emotionality (NE), such as sadness. Here, we investigate newborn Am-Ins and Am-vmPFC resting state functional connectivity in relation to developmental trajectories of fear and sadness over the first two years of life using data from the Infant Behavior Questionnaire Revised (IBQ-R) and Early Childhood Behavior Questionnaire (ECBQ) (N=62). Stronger newborn amygdala connectivity predicts higher fear and sadness at 6-months-of-age and less change from 6 to 24-months-of-age. Interestingly, Am-Ins connectivity was specifically relevant for fear and not sadness, while Am-vmPFC was associated only with sadness. Associations remained consistent after considering variation in maternal sensitivity and maternal postnatal depressive symptomology. Already by the time of birth, individual differences in amygdala connectivity are relevant for the expression of fear over the first two-years-of-life. Additionally, specificity is observed, such that connections relevant for fear development are distinct from those predicting sadness trajectories.
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Affiliation(s)
- Elina Thomas
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA
| | - Claudia Buss
- Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany; Development, Health and Disease Research Program, University of California, Irvine, Irvine, CA, USA
| | - Jerod M Rasmussen
- Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Sonja Entringer
- Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany; Development, Health and Disease Research Program, University of California, Irvine, Irvine, CA, USA
| | - Julian S B Ramirez
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA
| | - Mollie Marr
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA
| | - Marc D Rudolph
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Pathik D Wadhwa
- Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Damien A Fair
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA; Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA; Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Alice M Graham
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA.
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39
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Luo Y, Weibman D, Halperin JM, Li X. A Review of Heterogeneity in Attention Deficit/Hyperactivity Disorder (ADHD). Front Hum Neurosci 2019; 13:42. [PMID: 30804772 PMCID: PMC6378275 DOI: 10.3389/fnhum.2019.00042] [Citation(s) in RCA: 152] [Impact Index Per Article: 30.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 01/25/2019] [Indexed: 12/24/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that affects approximately 8%–12% of children worldwide. Throughout an individual’s lifetime, ADHD can significantly increase risk for other psychiatric disorders, educational and occupational failure, accidents, criminality, social disability and addictions. No single risk factor is necessary or sufficient to cause ADHD. The multifactorial causation of ADHD is reflected in the heterogeneity of this disorder, as indicated by its diversity of psychiatric comorbidities, varied clinical profiles, patterns of neurocognitive impairment and developmental trajectories, and the wide range of structural and functional brain anomalies. Although evidence-based treatments can reduce ADHD symptoms in a substantial portion of affected individuals, there is yet no curative treatment for ADHD. A number of theoretical models of the emergence and developmental trajectories of ADHD have been proposed, aimed at providing systematic guides for clinical research and practice. We conducted a comprehensive review of the current status of research in understanding the heterogeneity of ADHD in terms of etiology, clinical profiles and trajectories, and neurobiological mechanisms. We suggest that further research focus on investigating the impact of the etiological risk factors and their interactions with developmental neural mechanisms and clinical profiles in ADHD. Such research would have heuristic value for identifying biologically homogeneous subgroups and could facilitate the development of novel and more tailored interventions that target underlying neural anomalies characteristic of more homogeneous subgroups.
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Affiliation(s)
- Yuyang Luo
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States
| | - Dana Weibman
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States
| | - Jeffrey M Halperin
- Department of Psychology, Queens College of the City University of New York, Flushing, NY, United States
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States.,Department of Electric and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, United States
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40
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Ghaderi AH, Nazari MA, Shahrokhi H, Darooneh AH. Functional Brain Connectivity Differences Between Different ADHD Presentations: Impaired Functional Segregation in ADHD-Combined Presentation but not in ADHD-Inattentive Presentation. Basic Clin Neurosci 2017; 8:267-278. [PMID: 29158877 PMCID: PMC5683684 DOI: 10.18869/nirp.bcn.8.4.267] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Introduction: Contrary to Diagnostic and Statistical Manual of Mental Disorders (DSM-5), fifth edition, some studies indicate that ADHD-inattentive presentation (ADHD-I) is a distinct diagnostic disorder and not an ADHD presentation. Methods: In this study, 12 ADHD-combined presentation (ADHD-C), 10 ADHD-I, and 13 controls were enrolled and their resting state EEG recorded. Following this, a graph theoretical analysis was performed and functional integration and segregation of brain network was calculated. Results: The results show that clustering coefficient of theta band was significantly different among three groups and significant differences were observed in theta global efficiency between controls and ADHD-C. Regarding the alpha band, a lower clustering coefficient was observed in control subjects. In the beta band, clustering coefficient was significantly different between the control and children with ADHD-C and also between ADHD-I and ADHD-C. The clustering coefficient, in the subjects with ADHD-C, demonstrated a rapid decline and was significantly lower than the subjects with ADHD-I and control. Conclusion: Decreased clustering, in high thresholds, may be associated with hyperactivity while increased segregation in low thresholds with inattentiveness. A different functional network occurs in the ADHD-C brain that is consistent with several studies that have reported ADHD-I as a distinct disorder.
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Affiliation(s)
- Amir Hossein Ghaderi
- Cognitive Neuroscience Laboratory, Department of Psychology, University of Tabriz, Tabriz, Iran
| | - Mohammad Ali Nazari
- Cognitive Neuroscience Laboratory, Department of Psychology, University of Tabriz, Tabriz, Iran
| | - Hassan Shahrokhi
- Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
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41
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Wang JB, Zheng LJ, Cao QJ, Wang YF, Sun L, Zang YF, Zhang H. Inconsistency in Abnormal Brain Activity across Cohorts of ADHD-200 in Children with Attention Deficit Hyperactivity Disorder. Front Neurosci 2017. [PMID: 28634439 PMCID: PMC5459906 DOI: 10.3389/fnins.2017.00320] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Many papers have shown results from the multi-site dataset of resting-state fMRI (rs-fMRI) in attention deficit hyperactivity disorder (ADHD), a data-sharing project named ADHD-200. However, few studies have illustrated that to what extent the pooled findings were consistent across cohorts. The present study analyzed three voxel-wise whole-brain metrics, i.e., amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and degree centrality (DC) based on the pooled dataset as well as individual cohort of ADHD-200. In addition to the conventional frequency band of 0.01-0.08 Hz, sub-frequency bands of 0-0.01, 0.01-0.027, 0.027-0.073, 0.073-0.198, and 0.198-0.25 Hz, were assessed. While the pooled dataset showed abnormal activity in some brain regions, e.g., the bilateral sensorimotor cortices, bilateral cerebellum, and the bilateral lingual gyrus, these results were highly inconsistent across cohorts, even across the three cohorts from the same research center. The standardized effect size was rather small. These findings suggested a high heterogeneity of spontaneous brain activity in ADHD. Future studies based on multi-site large-sample dataset should be performed on pooled data and single cohort data, respectively and the effect size must be shown.
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Affiliation(s)
- Jian-Bao Wang
- Center for Cognition and Brain Disorders and the Affiliated Hospital, Hangzhou Normal UniversityHangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive ImpairmentsHangzhou, China.,Institutes of Psychological Sciences, College of Education, Hangzhou Normal UniversityHangzhou, China
| | - Li-Jun Zheng
- Center for Cognition and Brain Disorders and the Affiliated Hospital, Hangzhou Normal UniversityHangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive ImpairmentsHangzhou, China.,Institutes of Psychological Sciences, College of Education, Hangzhou Normal UniversityHangzhou, China
| | - Qing-Jiu Cao
- Institute of Mental Health, The Sixth Hospital, Peking UniversityBeijing, China
| | - Yu-Feng Wang
- Institute of Mental Health, The Sixth Hospital, Peking UniversityBeijing, China
| | - Li Sun
- Institute of Mental Health, The Sixth Hospital, Peking UniversityBeijing, China
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders and the Affiliated Hospital, Hangzhou Normal UniversityHangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive ImpairmentsHangzhou, China.,Institutes of Psychological Sciences, College of Education, Hangzhou Normal UniversityHangzhou, China
| | - Hang Zhang
- Paul C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhen, China
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42
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Wei W, Wang XJ. Inhibitory Control in the Cortico-Basal Ganglia-Thalamocortical Loop: Complex Regulation and Interplay with Memory and Decision Processes. Neuron 2016; 92:1093-1105. [PMID: 27866799 PMCID: PMC5193098 DOI: 10.1016/j.neuron.2016.10.031] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 09/12/2016] [Accepted: 10/12/2016] [Indexed: 01/25/2023]
Abstract
We developed a circuit model of spiking neurons that includes multiple pathways in the basal ganglia (BG) and is endowed with feedback mechanisms at three levels: cortical microcircuit, corticothalamic loop, and cortico-BG-thalamocortical system. We focused on executive control in a stop signal task, which is known to depend on BG across species. The model reproduces a range of experimental observations and shows that the newly discovered feedback projection from external globus pallidus to striatum is crucial for inhibitory control. Moreover, stopping process is enhanced by the cortico-subcortical reverberatory dynamics underlying persistent activity, establishing interdependence between working memory and inhibitory control. Surprisingly, the stop signal reaction time (SSRT) can be adjusted by weights of certain connections but is insensitive to other connections in this complex circuit, suggesting novel circuit-based intervention for inhibitory control deficits associated with mental illness. Our model provides a unified framework for inhibitory control, decision making, and working memory.
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Affiliation(s)
- Wei Wei
- Center for Neural Science, New York University, New York, NY 10003, USA
| | - Xiao-Jing Wang
- Center for Neural Science, New York University, New York, NY 10003, USA; NYU-ECNU Institute of Brain and Cognitive Science, NYU Shanghai, 200122 Shanghai, China.
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43
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Margolis AE, Herbstman JB, Davis K, Thomas VK, Tang D, Wang Y, Wang S, Perera FP, Peterson BS, Rauh VA. Longitudinal effects of prenatal exposure to air pollutants on self-regulatory capacities and social competence. J Child Psychol Psychiatry 2016; 57:851-60. [PMID: 26989990 PMCID: PMC5333974 DOI: 10.1111/jcpp.12548] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/25/2016] [Indexed: 12/26/2022]
Abstract
BACKGROUND We evaluated the influence of prenatal exposure to widespread urban air pollutants on the development of self-regulation and social competence in a longitudinal prospective cohort of children born to nonsmoking minority women in New York City. METHODS Air pollutant exposure was estimated categorically by level of polycyclic aromatic hydrocarbon (PAH)-DNA adducts in maternal blood collected at delivery, providing a biomarker of maternal exposure to PAH over a 2- to 3-month period. Deficient emotional self-regulation (DESR) was defined as moderate elevations on three specific scales of the child behavior checklist (anxious/depressed, aggressive behavior, and attention problems). We used generalized estimating equations to assess the influence of prenatal exposure to PAH on DESR in children at 3-5, 7, 9, and 11 years of age, adjusted for gender and race/ethnicity. Next, we assessed the association of prenatal exposure to PAH with social competence, as measured by the social responsiveness scale (SRS), the association of impaired self-regulation with social competence, and whether impairment in self-regulation mediated the association of prenatal exposure to PAH with social competence. RESULTS We detected a significant interaction (at p = .05) of exposure with time, in which the developmental trajectory of self-regulatory capacity was delayed in the exposed children. Multiple linear regression revealed a positive association between presence of PAH-DNA adducts and problems with social competence (p < .04), level of dysregulation and problems with social competence (p < .0001), and evidence that self-regulation mediates the association of prenatal exposure to PAH with social competence (p < .0007). CONCLUSIONS These data suggest that prenatal exposure to PAH produces long-lasting effects on self-regulatory capacities across early and middle childhood, and that these deficits point to emerging social problems with real-world consequences for high-risk adolescent behaviors in this minority urban cohort.
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Affiliation(s)
- Amy E. Margolis
- Division of Child and Adolescent Psychiatry, Columbia University Medical Center, NY,Child and Adolescent Psychiatry, New York State Psychiatric Center, NY
| | - Julie B. Herbstman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, NY
| | - Katie Davis
- Child and Adolescent Psychiatry, New York State Psychiatric Center, NY
| | - Valerie K. Thomas
- Heilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University Medical Center, NY
| | - Deliang Tang
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, NY
| | - Ya Wang
- Department of Biostatistics, Mailman School of Public Health, Columbia University Medical Center, NY
| | - Shuang Wang
- Department of Biostatistics, Mailman School of Public Health, Columbia University Medical Center, NY
| | - Frederica P. Perera
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, NY
| | - Bradley S. Peterson
- Institute for the Developing Mind, Children’s Hospital Los Angeles, CA,Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Virginia A. Rauh
- Heilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University Medical Center, NY
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44
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Castellanos FX, Aoki Y. Intrinsic Functional Connectivity in Attention-Deficit/Hyperactivity Disorder: A Science in Development. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2016; 1:253-261. [PMID: 27713929 DOI: 10.1016/j.bpsc.2016.03.004] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Functional magnetic resonance imaging (fMRI) without an explicit task, i.e., resting state fMRI, of individuals with Attention-Deficit/Hyperactivity Disorder (ADHD) is growing rapidly. Early studies were unaware of the vulnerability of this method to even minor degrees of head motion, a major concern in the field. Recent efforts are implementing various strategies to address this source of artifact along with a growing set of analytical tools. Availability of the ADHD-200 Consortium dataset, a large-scale multi-site repository, is facilitating increasingly sophisticated approaches. In parallel, investigators are beginning to explicitly test the replicability of published findings. In this narrative review, we sketch out broad, overarching hypotheses being entertained while noting methodological uncertainties. Current hypotheses implicate the interplay of default, cognitive control (frontoparietal) and attention (dorsal, ventral, salience) networks in ADHD; functional connectivities of reward-related and amygdala-related circuits are also supported as substrates for dimensional aspects of ADHD. Before these can be further specified and definitively tested, we assert the field must take on the challenge of mapping the "topography" of the analytical space, i.e., determining the sensitivities of results to variations in acquisition, analysis, demographic and phenotypic parameters. Doing so with openly available datasets will provide the needed foundation for delineating typical and atypical developmental trajectories of brain structure and function in neurodevelopmental disorders including ADHD when applied to large-scale multi-site prospective longitudinal studies such as the forthcoming Adolescent Brain Cognitive Development study.
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Affiliation(s)
- F Xavier Castellanos
- The Child Study Center at NYU Langone Medical Center, New York, NY; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY
| | - Yuta Aoki
- The Child Study Center at NYU Langone Medical Center, New York, NY
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45
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Ji B, Li Z, Li K, Li L, Langley J, Shen H, Nie S, Zhang R, Hu X. Dynamic thalamus parcellation from resting-state fMRI data. Hum Brain Mapp 2015; 37:954-67. [PMID: 26706823 DOI: 10.1002/hbm.23079] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2014] [Revised: 11/13/2015] [Accepted: 11/30/2015] [Indexed: 02/05/2023] Open
Abstract
The thalamus is a relay center between various subcortical brain areas and the cerebral cortex with delineation of its constituent nuclei being of particular interest in many applications. While previous studies have demonstrated efficacy of connectivity-based thalamus segmentation, they used approaches that do not consider the dynamic nature of thalamo-cortical interactions. In this study, we explicitly exploited the dynamic variation of thalamo-cortical connections to identify different states of functional connectivity and performed state-specific thalamus parcellation. With normalized spectral clustering successively applied in temporal and spatial domains, nine thalamo-cortical connectivity states were identified and the dynamic thalamus parcellation revealed finer thalamic structures with improved atlas correspondence. The present results extend our understanding of thalamo-cortical connectivity and provide a more comprehensive view of the thalamo-cortical interaction.
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Affiliation(s)
- Bing Ji
- University of Shanghai for Science & Technology, Shanghai, 200093, China.,Biomedical Engineering, Emory University & Georgia Institute of Technology, Atlanta, Georgia
| | - Zhihao Li
- Biomedical Engineering, Emory University & Georgia Institute of Technology, Atlanta, Georgia.,Institute of Affective and Social Neuroscience, Shenzhen University, Shenzhen, Guangdong, 518060, China
| | - Kaiming Li
- Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Longchuan Li
- Biomedical Engineering, Emory University & Georgia Institute of Technology, Atlanta, Georgia.,Marcus Autism Center, Children's Healthcare of Atlanta, Emory University School of Medicine, Georgia
| | - Jason Langley
- Biomedical Engineering, Emory University & Georgia Institute of Technology, Atlanta, Georgia
| | - Hui Shen
- College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, China
| | - Shengdong Nie
- University of Shanghai for Science & Technology, Shanghai, 200093, China
| | - Renjie Zhang
- University of Shanghai for Science & Technology, Shanghai, 200093, China
| | - Xiaoping Hu
- Biomedical Engineering, Emory University & Georgia Institute of Technology, Atlanta, Georgia
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46
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Deshpande G, Wang P, Rangaprakash D, Wilamowski B. Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data. IEEE TRANSACTIONS ON CYBERNETICS 2015; 45:2668-2679. [PMID: 25576588 DOI: 10.1109/tcyb.2014.2379621] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Automated recognition and classification of brain diseases are of tremendous value to society. Attention deficit hyperactivity disorder (ADHD) is a diverse spectrum disorder whose diagnosis is based on behavior and hence will benefit from classification utilizing objective neuroimaging measures. Toward this end, an international competition was conducted for classifying ADHD using functional magnetic resonance imaging data acquired from multiple sites worldwide. Here, we consider the data from this competition as an example to illustrate the utility of fully connected cascade (FCC) artificial neural network (ANN) architecture for performing classification. We employed various directional and nondirectional brain connectivity-based methods to extract discriminative features which gave better classification accuracy compared to raw data. Our accuracy for distinguishing ADHD from healthy subjects was close to 90% and between the ADHD subtypes was close to 95%. Further, we show that, if properly used, FCC ANN performs very well compared to other classifiers such as support vector machines in terms of accuracy, irrespective of the feature used. Finally, the most discriminative connectivity features provided insights about the pathophysiology of ADHD and showed reduced and altered connectivity involving the left orbitofrontal cortex and various cerebellar regions in ADHD.
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47
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Sidlauskaite J, Caeyenberghs K, Sonuga-Barke E, Roeyers H, Wiersema JR. Whole-brain structural topology in adult attention-deficit/hyperactivity disorder: Preserved global - disturbed local network organization. NEUROIMAGE-CLINICAL 2015; 9:506-12. [PMID: 26640763 PMCID: PMC4630025 DOI: 10.1016/j.nicl.2015.10.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Revised: 09/29/2015] [Accepted: 10/01/2015] [Indexed: 12/19/2022]
Abstract
Prior studies demonstrate altered organization of functional brain networks in attention-deficit/hyperactivity disorder (ADHD). However, the structural underpinnings of these functional disturbances are poorly understood. In the current study, we applied a graph-theoretic approach to whole-brain diffusion magnetic resonance imaging data to investigate the organization of structural brain networks in adults with ADHD and unaffected controls using deterministic fiber tractography. Groups did not differ in terms of global network metrics - small-worldness, global efficiency and clustering coefficient. However, there were widespread ADHD-related effects at the nodal level in relation to local efficiency and clustering. The affected nodes included superior occipital, supramarginal, superior temporal, inferior parietal, angular and inferior frontal gyri, as well as putamen, thalamus and posterior cerebellum. Lower local efficiency of left superior temporal and supramarginal gyri was associated with higher ADHD symptom scores. Also greater local clustering of right putamen and lower local clustering of left supramarginal gyrus correlated with ADHD symptom severity. Overall, the findings indicate preserved global but altered local network organization in adult ADHD implicating regions underpinning putative ADHD-related neuropsychological deficits.
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Affiliation(s)
- Justina Sidlauskaite
- Department of Experimental-Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, Ghent B-9000, Belgium
| | - Karen Caeyenberghs
- School of Psychology, Faculty of Health Sciences, Australian Catholic University, 115 Victoria Parade, Melbourne, VIC 3065, Australia
| | - Edmund Sonuga-Barke
- Department of Experimental-Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, Ghent B-9000, Belgium ; Developmental Brain-Behaviour Unit, Psychology, University of Southampton, Shackleton Building (B44), Highfield Campus, Southampton SO17 1BJ, United Kingdom
| | - Herbert Roeyers
- Department of Experimental-Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, Ghent B-9000, Belgium
| | - Jan R Wiersema
- Department of Experimental-Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, Ghent B-9000, Belgium
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48
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Duda TA, Casey JE, McNevin N. Development of graphomotor fluency in adults with ADHD: Evidence of attenuated procedural learning. Hum Mov Sci 2015; 44:1-10. [PMID: 26296142 DOI: 10.1016/j.humov.2015.08.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Revised: 07/25/2015] [Accepted: 08/09/2015] [Indexed: 01/03/2023]
Abstract
PURPOSE The present study sought to determine if adults with ADHD demonstrate reduced graphomotor learning relative to controls. METHOD Twenty-eight control adults (n=14) and adults with ADHD (n=14) were recruited and wrote a novel grapheme on a digitizing tablet 30 times. Participants with ADHD were counterbalanced on and off stimulant medication. RESULTS Control participants, F(1,13)=13.786, p=.003, ω(2)partial=.460, and participants with ADHD on medication, F(1,13)=10.462, p=.007, ω(2)partial=.387, demonstrated significant improvement in graphomotor fluency with equivalent practice whereas participants with ADHD off medication did not, F(1,12)=0.166, NS. CONCLUSIONS Results indicate that graphomotor program learning in adults with ADHD may occur more slowly than typically developing peers. Findings have implications for providing accommodations to adults with ADHD, potential benefits of stimulant medication, and using digitizing technology as a neuropsychological assessment instrument.
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Affiliation(s)
- Thomas A Duda
- University of Windsor, 401 Sunset Avenue, Windsor, Ontario N9B 3P4, Canada.
| | - Joseph E Casey
- University of Windsor, 401 Sunset Avenue, Windsor, Ontario N9B 3P4, Canada
| | - Nancy McNevin
- University of Windsor, 401 Sunset Avenue, Windsor, Ontario N9B 3P4, Canada
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49
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Heidbreder R. ADHD symptomatology is best conceptualized as a spectrum: a dimensional versus unitary approach to diagnosis. ACTA ACUST UNITED AC 2015; 7:249-69. [PMID: 25957598 DOI: 10.1007/s12402-015-0171-4] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2015] [Accepted: 04/18/2015] [Indexed: 12/19/2022]
Abstract
The aim of this paper is to build a case for the utility of conceptualizing ADHD, not as a unitary disorder that contains several subtypes, but rather as a marker of impairment in attention and/or impulsivity that can be used to identify one of several disorders belonging to a spectrum. The literature will be reviewed to provide an overview of what is known about ADHD in terms of heterogeneity in symptomatology, neuropsychology, neurobiology, as well as comorbidity with other diseases and treatment options. The data from these areas of research will be critically analyzed to support the construct of a spectrum of disorders that can capture the great variability that exists between individuals with ADHD and can discriminate between separate disorders that manifest similar symptoms. The symptoms associated with ADHD can be viewed as dimensional markers that point to a spectrum of related disorders that have as part of their characteristics impairments of attention and impulsivity. The spectrum can accommodate symmetrically and asymmetrically comorbid psychiatric disorders associated with ADHD as well as the wide heterogeneity known to be a part of the ADHD disorder. Individuals presenting with impairments associated with ADHD should be treated as having a positive marker for a spectrum disorder that has as part of its characteristics impairments of attention and/or impulsivity. The identification of impairment in attention and/or impulsivity should be a starting point for further testing rather than being an endpoint of diagnosis that results in pharmacological treatment that may or may not be the optimal therapy. Rather than continuing to attribute a large amount of heterogeneity in symptom presentation as well as a high degree of symmetric and asymmetric comorbidity to a single disorder, clinical evaluation should turn to the diagnosis of the type of attentional deficit and/or impulsivity an individual has in order to colocate the individual's disorder on a spectrum that captures the heterogeneity in symptomatology, the symmetrical and asymmetrical comorbidity, as well as subthreshold presentation and other variants often worked into the disorder of ADHD. The spectrum model can accommodate not only the psychophysiological profiles of patients, but is also consistent with what is known about the functional heterogeneity of the prefrontal cortex as well as the construct that cognitive processes are supported by overlapping and collaborative networks.
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Affiliation(s)
- Rebeca Heidbreder
- PsychResearchCenter, LLC, 3669 Michaux Mill Drive, Powhatan, VA, 23139, USA.
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50
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Alarcón G, Cservenka A, Rudolph MD, Fair DA, Nagel BJ. Developmental sex differences in resting state functional connectivity of amygdala sub-regions. Neuroimage 2015; 115:235-44. [PMID: 25887261 DOI: 10.1016/j.neuroimage.2015.04.013] [Citation(s) in RCA: 77] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 03/10/2015] [Accepted: 04/07/2015] [Indexed: 10/23/2022] Open
Abstract
During adolescence, considerable social and biological changes occur that interact with functional brain maturation, some of which are sex-specific. The amygdala is one brain area that has displayed sexual dimorphism, specifically in socio-affective (superficial amygdala [SFA]), stress (centromedial amygdala [CMA]), and learning and memory (basolateral amygdala [BLA]) processing. The amygdala has also been implicated in mood and anxiety disorders which display sex-specific features, most prominently observed during adolescence. Using functional magnetic resonance imaging (fMRI), the present study examined the interaction of age and sex on resting state functional connectivity (RSFC) of amygdala sub-regions, BLA and SFA, in a sample of healthy adolescents between the ages 10 and 16 years (n = 122, 71 boys). Whole-brain, voxel-wise partial correlation analyses were conducted to determine RSFC of bilateral BLA and SFA seed regions, created using the Eickhoff-Zilles maximum probability maps based on cytoarchitectonic mapping and FMRIB's Integrated Registration and Segmentation Tool (FIRST). Monte Carlo simulation was implemented to correct for multiple comparisons (threshold of 53 contiguous voxels with a z-value ≥ 2.25). Results indicated that with increasing age, there was a corresponding decrease in RSFC between both amygdala sub-regions and parieto-occipital cortices, with a concurrent increase in RSFC with medial prefrontal cortex (mPFC). Specifically, boys and girls demonstrated increased coupling of mPFC and left and right SFA with age, respectively; however, neither sex showed increased connectivity between mPFC and BLA, which could indicate relative immaturity of fronto-limbic networks that is similar across sex. A dissociation in connectivity between BLA- and SFA-parieto-occipital RSFC emerged, in which girls had weaker negative RSFC between SFA and parieto-occipital regions and boys had weaker negative RSFC of BLA and parieto-occipital regions with increased age, both standing in contrast to adult patterns of amygdala sub-regional RSFC. The present findings suggest relative immaturity of amygdala sub-regional RSFC with parieto-occipital cortices during adolescence, with unique patterns in both sexes that may support memory and socio-affective processing in boys and girls, respectively. Understanding the underlying normative functional architecture of brain networks associated with the amygdala during adolescence may better inform future research of the neural features associated with increased risk for internalizing psychopathology.
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Affiliation(s)
- Gabriela Alarcón
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA
| | - Anita Cservenka
- Department of Psychiatry, Oregon Health & Science University, Portland, OR 97239, USA
| | - Marc D Rudolph
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA
| | - Damien A Fair
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA; Department of Psychiatry, Oregon Health & Science University, Portland, OR 97239, USA; Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Bonnie J Nagel
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA; Department of Psychiatry, Oregon Health & Science University, Portland, OR 97239, USA.
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