1
|
Tolonen T, Roine T, Alho K, Leppämäki S, Tani P, Koski A, Laine M, Salmi J. Abnormal wiring of the structural connectome in adults with ADHD. Netw Neurosci 2023; 7:1302-1325. [PMID: 38144696 PMCID: PMC10631790 DOI: 10.1162/netn_a_00326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/19/2023] [Indexed: 12/26/2023] Open
Abstract
Current knowledge of white matter changes in large-scale brain networks in adult attention-deficit/hyperactivity disorder (ADHD) is scarce. We collected diffusion-weighted magnetic resonance imaging data in 40 adults with ADHD and 36 neurotypical controls and used constrained spherical deconvolution-based tractography to reconstruct whole-brain structural connectivity networks. We used network-based statistic (NBS) and graph theoretical analysis to investigate differences in these networks between the ADHD and control groups, as well as associations between structural connectivity and ADHD symptoms assessed with the Adult ADHD Self-Report Scale or performance in the Conners Continuous Performance Test 2 (CPT-2). NBS revealed decreased connectivity in the ADHD group compared to the neurotypical controls in widespread unilateral networks, which included subcortical and corticocortical structures and encompassed dorsal and ventral attention networks and visual and somatomotor systems. Furthermore, hypoconnectivity in a predominantly left-frontal network was associated with higher amount of commission errors in CPT-2. Graph theoretical analysis did not reveal topological differences between the groups or associations between topological properties and ADHD symptoms or task performance. Our results suggest that abnormal structural wiring of the brain in adult ADHD is manifested as widespread intrahemispheric hypoconnectivity in networks previously associated with ADHD in functional neuroimaging studies.
Collapse
Affiliation(s)
- Tuija Tolonen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Timo Roine
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
- Turku Brain and Mind Center, University of Turku, Turku, Finland
| | - Kimmo Alho
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
- AMI Centre, Aalto Neuroimaging, Aalto University, Espoo, Finland
| | | | - Pekka Tani
- Department of Psychiatry, Helsinki University Hospital, Helsinki, Finland
| | - Anniina Koski
- Department of Psychiatry, Helsinki University Hospital, Helsinki, Finland
| | - Matti Laine
- Turku Brain and Mind Center, University of Turku, Turku, Finland
- Department of Psychology, Åbo Akademi University, Turku, Finland
| | - Juha Salmi
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
- AMI Centre, Aalto Neuroimaging, Aalto University, Espoo, Finland
| |
Collapse
|
2
|
Putra HA, Park K, Oba H, Yamashita F. Adult attention-deficit/hyperactivity disorder traits in healthy adults associated with brain volumetric data identify precuneus involvement in traffic crashes. Sci Rep 2023; 13:22466. [PMID: 38105321 PMCID: PMC10725881 DOI: 10.1038/s41598-023-49907-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/13/2023] [Indexed: 12/19/2023] Open
Abstract
This large-scale study including 2548 healthy adults with no clinical attention-deficit/hyperactivity disorder (ADHD) diagnosis intended to clarify the complex relationships between cerebral grey matter volumes (GMVs), ADHD traits, and driving safety behaviours. Path analysis of magnetic resonance imaging (MRI) results and questionnaires about ADHD traits and traffic crashes over the past decade revealed significant correlations of ADHD traits with different brain regions relevant to different cognitive functions. The left precuneus responsible for visuospatial cognition was the sole region correlated with all ADHD trait categories, suggesting it plays an important role in understanding driving safety and traffic crashes. For the first time, a strong relationship was found among regional GMVs, ADHD traits, and real-life traffic crashes. These insights into the complex interplay may inform the development of an effective intervention with MRI examination to prevent traffic crashes. Large-scale brain volumetric data may further open social applications of behaviour science and neuroimaging.
Collapse
Affiliation(s)
- Handityo Aulia Putra
- Research Organization for Regional Alliance, Kochi University of Technology, 185 Miyanokuchi Tosayamada‑cho, Kami, Kochi, 782‑0003, Japan
| | - Kaechang Park
- Research Organization for Regional Alliance, Kochi University of Technology, 185 Miyanokuchi Tosayamada‑cho, Kami, Kochi, 782‑0003, Japan.
| | - Hikaru Oba
- Graduate School of Health Sciences, Hirosaki University, 66‑1, Hon‑cho, Hirosaki, Aomori, 036‑8564, Japan
| | - Fumio Yamashita
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, 1‑1‑1 Idaidori, Yahaba‑cho, Shiwa‑gun, Iwate, 028‑3694, Japan
| |
Collapse
|
3
|
Gosling CJ, Caparos S, Pinabiaux C, Schwarzer G, Rücker G, Agha SS, Alrouh H, Ambler A, Anderson P, Andiarena A, Arnold LE, Arseneault L, Asherson P, Babinski L, Barbati V, Barkley R, Barros AJD, Barros F, Bates JE, Bell LJ, Berenguer C, van Bergen E, Biederman J, Birmaher B, B⊘e T, Boomsma DI, Brandt VC, Bressan RA, Brocki K, Broughton TR, Bufferd SJ, Bussing R, Cao M, Cartigny A, Casas AM, Caspi A, Castellanos FX, Caye A, Cederkvist L, Collishaw S, Copeland WE, Cote SM, Coventry WL, Debes NMM, Denyer H, Dodge KA, Dogru H, Efron D, Eller J, Abd Elmaksoud M, Ercan ES, Faraone SV, Fenesy M, Fernández MF, Fernández-Somoano A, Findling R, Fombonne E, Fossum IN, Freire C, Friedman NP, Fristad MA, Galera C, Garcia-Argibay M, Garvan CS, González-Safont L, Groenman AP, Guxens M, Halperin JM, Hamadeh RR, Hartman CA, Hill SY, Hinshaw SP, Hipwell A, Hokkanen L, Holz N, Íñiguez C, Jahrami HA, Jansen PW, Jónsdóttir LK, Julvez J, Kaiser A, Keenan K, Klein DN, Klein RG, Kuntsi J, Langfus J, Langley K, Lansford JE, Larsen SA, Larsson H, Law E, Lee SS, Lertxundi N, Li X, Li Y, Lichtenstein P, Liu J, Lundervold AJ, Lundström S, Marks DJ, Martin J, Masi G, Matijasevich A, Melchior M, Moffitt TE, Monninger M, Morrison CL, Mulraney M, Muratori P, Nguyen PT, Nicholson JM, Øie MG, O'Neill S, O'Connor C, Orri M, Pan PM, Pascoe L, Pettit GS, Price J, Rebagliato M, Riaño-Galán I, Rohde LA, Roisman GI, Rosa M, Rosenbaum JF, Salum GA, Sammallahti S, Santos IS, Schiavone NS, Schmid L, Sciberras E, Shaw P, Silk TJ, Simpson JA, Skogli EW, Stepp S, Strandberg-Larsen K, Sudre G, Sunyer J, Tandon M, Thapar A, Thomson P, Thorell LB, Tinchant H, Torrent M, Tovo-Rodrigues L, Tripp G, Ukoumunne O, Van Goozen SHM, Vos M, Wallez S, Wang Y, Westermaier FG, Whalen DJ, Yoncheva Y, Youngstrom EA, Sayal K, Solmi M, Delorme R, Cortese S. Association between relative age at school and persistence of ADHD in prospective studies: an individual participant data meta-analysis. Lancet Psychiatry 2023; 10:922-933. [PMID: 37898142 DOI: 10.1016/s2215-0366(23)00272-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/27/2023] [Accepted: 08/03/2023] [Indexed: 10/30/2023]
Abstract
BACKGROUND The youngest children in a school class are more likely than the oldest to be diagnosed with ADHD, but this relative age effect is less frequent in older than in younger school-grade children. However, no study has explored the association between relative age and the persistence of ADHD diagnosis at older ages. We aimed to quantify the association between relative age and persistence of ADHD at older ages. METHODS For this meta-analysis, we searched MEDLINE, Embase, CINAHL, PsycINFO, and PubPsych up to April 1, 2022, with terms related to "cohort" and "ADHD" with no date, publication type, or language restrictions. We gathered individual participant data from prospective cohorts that included at least ten children identified with ADHD before age 10 years. ADHD was defined by either a clinical diagnosis or symptoms exceeding clinical cutoffs. Relative age was recorded as the month of birth in relation to the school-entry cutoff date. Study authors were invited to share raw data or to apply a script to analyse data locally and generate anonymised results. Our outcome was ADHD status at a diagnostic reassessment, conducted at least 4 years after the initial assessment and after age 10 years. No information on sex, gender, or ethnicity was collected. We did a two-stage random-effects individual participant data meta-analysis to assess the association of relative age with persistence of ADHD at follow-up. This study was registered with PROSPERO, CRD42020212650. FINDINGS Of 33 119 studies generated by our search, we identified 130 eligible unique studies and were able to gather individual participant data from 57 prospective studies following up 6504 children with ADHD. After exclusion of 16 studies in regions with a flexible school entry system that did not allow confident linkage of birthdate to relative age, the primary analysis included 41 studies in 15 countries following up 4708 children for a period of 4 to 33 years. We found that younger relative age was not statistically significantly associated with ADHD persistence at follow-up (odds ratio 1·02, 95% CI 0·99-1·06; p=0·19). We observed statistically significant heterogeneity in our model (Q=75·82, p=0·0011, I2=45%). Participant-level sensitivity analyses showed similar results in cohorts with a robust relative age effect at baseline and when restricting to cohorts involving children with a clinical diagnosis of ADHD or with a follow-up duration of more than 10 years. INTERPRETATION The diagnosis of ADHD in younger children in a class is no more likely to be disconfirmed over time than that of older children in the class. One interpretation is that the relative age effect decreases the likelihood of children of older relative age receiving a diagnosis of ADHD, and another is that assigning a diagnostic label of ADHD leads to unexplored carryover effects of the initial diagnosis that persist over time. Future studies should be conducted to explore these interpretations further. FUNDING None.
Collapse
|
4
|
Fuelscher I, Hyde C, Thomson P, Vijayakumar N, Sciberras E, Efron D, Anderson V, Hazell P, Silk TJ. Longitudinal Trajectories of White Matter Development in Attention-Deficit/Hyperactivity Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:1103-1112. [PMID: 36963498 DOI: 10.1016/j.bpsc.2023.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/13/2023] [Accepted: 03/13/2023] [Indexed: 03/26/2023]
Abstract
BACKGROUND Few longitudinal studies have investigated whether white matter development reflects differential outcomes for children with and without attention-deficit/hyperactivity disorder (ADHD). To examine whether deviations from typical trajectories of white matter development were associated with the persistence or remission of ADHD symptoms, this study examined microstructural and morphological properties of 71 white matter tracts from 390 high angular diffusion scans acquired prospectively for 62 children with persistent ADHD, 37 children remitted from ADHD, and 85 children without ADHD. METHODS Participants (mean age at wave 1 = 10.39 years, scan interval = 18 months) underwent up to 3 magnetic resonance imaging assessments. White matter tracts were reconstructed using TractSeg, a semiautomated method. For each tract, we derived measures of fiber density (microstructure) and fiber bundle cross-section (morphology) using fixel-based analysis. Linear mixed models were used to compare trajectories of fiber development between the persistent ADHD, remitted ADHD, and non-ADHD groups. RESULTS Compared with the non-ADHD group, the remitted and persistent ADHD groups showed accelerated fiber development in thalamic pathways, striatal pathways, and the superior longitudinal fasciculus. In the remitted ADHD group, accelerated fiber development in corticospinal, frontopontine, striatal-premotor, and thalamo-premotor pathways was associated with greater reductions in ADHD symptom severity. The persistent ADHD group showed ongoing white matter alterations along sensorimotor pathways. CONCLUSIONS These results suggest that variations in white matter development are associated with different clinical trajectories in ADHD. The findings advance our understanding of the neurobiological mechanisms underpinning ADHD symptom progression and provide novel evidence in support of developmental models of ADHD.
Collapse
Affiliation(s)
- Ian Fuelscher
- School of Psychology, Deakin University, Geelong, Victoria, Australia.
| | - Christian Hyde
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Phoebe Thomson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia
| | | | - Emma Sciberras
- School of Psychology, Deakin University, Geelong, Victoria, Australia; Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Daryl Efron
- Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Vicki Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Philip Hazell
- Discipline of Psychiatry, The University of Sydney, Sydney, New South Wales, Australia
| | - Timothy J Silk
- School of Psychology, Deakin University, Geelong, Victoria, Australia; Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
| |
Collapse
|
5
|
Parlatini V, Itahashi T, Lee Y, Liu S, Nguyen TT, Aoki YY, Forkel SJ, Catani M, Rubia K, Zhou JH, Murphy DG, Cortese S. White matter alterations in Attention-Deficit/Hyperactivity Disorder (ADHD): a systematic review of 129 diffusion imaging studies with meta-analysis. Mol Psychiatry 2023; 28:4098-4123. [PMID: 37479785 PMCID: PMC10827669 DOI: 10.1038/s41380-023-02173-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 06/23/2023] [Accepted: 06/28/2023] [Indexed: 07/23/2023]
Abstract
Aberrant anatomical brain connections in attention-deficit/hyperactivity disorder (ADHD) are reported inconsistently across diffusion weighted imaging (DWI) studies. Based on a pre-registered protocol (Prospero: CRD42021259192), we searched PubMed, Ovid, and Web of Knowledge until 26/03/2022 to conduct a systematic review of DWI studies. We performed a quality assessment based on imaging acquisition, preprocessing, and analysis. Using signed differential mapping, we meta-analyzed a subset of the retrieved studies amenable to quantitative evidence synthesis, i.e., tract-based spatial statistics (TBSS) studies, in individuals of any age and, separately, in children, adults, and high-quality datasets. Finally, we conducted meta-regressions to test the effect of age, sex, and medication-naïvety. We included 129 studies (6739 ADHD participants and 6476 controls), of which 25 TBSS studies provided peak coordinates for case-control differences in fractional anisotropy (FA)(32 datasets) and 18 in mean diffusivity (MD)(23 datasets). The systematic review highlighted white matter alterations (especially reduced FA) in projection, commissural and association pathways of individuals with ADHD, which were associated with symptom severity and cognitive deficits. The meta-analysis showed a consistent reduced FA in the splenium and body of the corpus callosum, extending to the cingulum. Lower FA was related to older age, and case-control differences did not survive in the pediatric meta-analysis. About 68% of studies were of low quality, mainly due to acquisitions with non-isotropic voxels or lack of motion correction; and the sensitivity analysis in high-quality datasets yielded no significant results. Findings suggest prominent alterations in posterior interhemispheric connections subserving cognitive and motor functions affected in ADHD, although these might be influenced by non-optimal acquisition parameters/preprocessing. Absence of findings in children may be related to the late development of callosal fibers, which may enhance case-control differences in adulthood. Clinicodemographic and methodological differences were major barriers to consistency and comparability among studies, and should be addressed in future investigations.
Collapse
Affiliation(s)
- Valeria Parlatini
- Sackler Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK.
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK.
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK.
| | - Takashi Itahashi
- Medical Institute of Developmental Disabilities Research, Showa University, 6-11-11 Kita-karasuyama, Setagaya-ku, Tokyo, Japan
| | - Yeji Lee
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
| | - Siwei Liu
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Thuan T Nguyen
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme, National University of Singapore, Singapore, Singapore
| | - Yuta Y Aoki
- Medical Institute of Developmental Disabilities Research, Showa University, 6-11-11 Kita-karasuyama, Setagaya-ku, Tokyo, Japan
- Department of Psychiatry, Aoki Clinic, Tokyo, Japan
| | - Stephanie J Forkel
- Donders Centre for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Centre for Neuroimaging Sciences, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France
- Departments of Neurosurgery, Technical University of Munich School of Medicine, Munich, Germany
| | - Marco Catani
- Sackler Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
| | - Juan H Zhou
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
| | - Declan G Murphy
- Sackler Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK
| | - Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK
- Solent NHS Trust, Southampton, UK
- Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York, NY, USA
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
| |
Collapse
|
6
|
Dipnall LM, Hourani D, Darling S, Anderson V, Sciberras E, Silk TJ. Fronto-parietal white matter microstructure associated with working memory performance in children with ADHD. Cortex 2023; 166:243-257. [PMID: 37406409 DOI: 10.1016/j.cortex.2023.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 11/26/2022] [Accepted: 03/24/2023] [Indexed: 07/07/2023]
Abstract
INTRODUCTION Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder with many functional impairments thought to be underpinned by difficulties in executive function domains such as working memory. The superior longitudinal fasciculus (SLF) plays an integral role in the development of working memory in neurotypical children. Neuroimaging research suggests reduced white matter organization of the SLF may contribute to working memory difficulties commonly seen in ADHD. This study aimed to examine the relationship between white matter organization of the SLF and working memory in children with ADHD. METHODS We examined the association of tract volume and apparent fibre density (AFD) of the SLF with working memory in children with ADHD (n = 64) and controls (n = 58) aged 9-11years. Children completed a computerized spatial n-back task and underwent diffusion magnetic resonance imaging (dMRI). Constrained spherical deconvolution-based tractography was used to construct the three branches of the SLF bilaterally and examine volume and AFD of the SLF. RESULTS Regression analyses revealed children with ADHD exhibited poorer working memory, and lower volume and AFD of the left SLF-II compared to healthy controls. There was also an association between reaction time and variability (RT and RT-V) and the left SLF-II. Further analyses revealed volume of the left SLF-II mediated the relationship between ADHD and working memory performance (RT and RT-V). DISCUSSION These findings add to the current body of ADHD literature, revealing the potential role of frontoparietal white matter in working memory difficulties in ADHD.
Collapse
Affiliation(s)
| | - Danah Hourani
- Murdoch Children's Research Institute, Melbourne, Australia
| | - Simone Darling
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Australia
| | - Vicki Anderson
- Murdoch Children's Research Institute, Melbourne, Australia; The Royal Children's Hospital, Melbourne, Australia
| | - Emma Sciberras
- School of Psychology, Deakin University, Geelong, Australia; Murdoch Children's Research Institute, Melbourne, Australia; The Royal Children's Hospital, Melbourne, Australia
| | - Timothy J Silk
- School of Psychology, Deakin University, Geelong, Australia; Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Australia
| |
Collapse
|
7
|
Chiang HL, Tseng WYI, Tseng WL, Tung YH, Hsu YC, Chen CL, Gau SSF. Atypical development in white matter microstructures in ADHD: A longitudinal diffusion imaging study. Asian J Psychiatr 2023; 79:103358. [PMID: 36481569 DOI: 10.1016/j.ajp.2022.103358] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/13/2022] [Accepted: 11/25/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND In cross-sectional studies, alterations in white matter microstructure are evident in children with attention-deficit/hyperactivity disorder (ADHD) but not so prominent in adults with ADHD compared to typically-developing controls (TDC). Moreover, the developmental trajectories of white matter microstructures in ADHD are unclear, given the limited longitudinal imaging studies that characterize developmental changes in ADHD vs. TDC. METHODS This longitudinal study acquired diffusion spectrum imaging (DSI) at two time points. The sample included 55 participants with ADHD and 61 TDC. The enrollment/first DSI age ranged from 7 to 18 years, with a five-year mean follow-up time. We examined time-by-diagnosis interaction on the generalized fractional anisotropy (GFA) of 45 white matter tracts, adjusting for confounding factors and correcting for multiple comparisons. We also tested whether the longitudinal changes of microstructures were associated with ADHD symptoms and attention performance in a computerized continuous performance test. RESULTS Participants with ADHD showed more rapid development of GFA in the arcuate fasciculus, superior longitudinal fasciculus, frontal aslant tract, cingulum, inferior fronto-occipital fasciculus (IFOF), frontostriatal tract connecting the prefrontal cortex (FS-PFC), thalamic radiation, corticospinal tract, and corpus callosum. Within participants with ADHD, more rapid GFA increases in cingulum and FS-PFC were associated with slower decreases in inattention symptoms. In addition, in all participants, more rapid GFA increases in cingulum and IFOF were associated with greater improvement in attention performance. CONCLUSION Our findings suggest atypical developmental trajectories of white matter tracts in ADHD, characterized by normalization and possible compensatory neuroplastic processes with age from childhood to early adulthood.
Collapse
Affiliation(s)
- Huey-Ling Chiang
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan; Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Wen-Yih Isaac Tseng
- Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wan-Ling Tseng
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA
| | - Yu-Hung Tung
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yung-Chin Hsu
- Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chang-Le Chen
- Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Susan Shur-Fen Gau
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan; Graduate Institute of Clinical Medicine, and Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan.
| |
Collapse
|
8
|
Baboli R, Cao M, Halperin JM, Li X. Distinct Thalamic and Frontal Neuroanatomical Substrates in Children with Familial vs. Non-Familial Attention-Deficit/Hyperactivity Disorder (ADHD). Brain Sci 2022; 13:46. [PMID: 36672028 PMCID: PMC9856951 DOI: 10.3390/brainsci13010046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 12/15/2022] [Accepted: 12/17/2022] [Indexed: 12/28/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent, inheritable, and heterogeneous neurodevelopmental disorder. Children with a family history of ADHD are at elevated risk of having ADHD and persisting its symptoms into adulthood. The objective of this study was to investigate the influence of having or not having positive family risk factor in the neuroanatomy of the brain in children with ADHD. Cortical thickness-, surface area-, and volume-based measures were extracted and compared in a total of 606 participants, including 132, 165, and 309 in groups of familial ADHD (ADHD-F), non-familial ADHD (ADHD-NF), and typically developed children, respectively. Compared to controls, ADHD probands showed significantly reduced gray matter surface area in the left cuneus. Among the ADHD subgroups, ADHD-F showed significantly increased gray matter volume in the right thalamus and significantly thinner cortical thickness in the right pars orbitalis. Among ADHD-F, an increased volume of the right thalamus was significantly correlated with a reduced DSM-oriented t-score for ADHD problems. The findings of this study may suggest that a positive family history of ADHD is associated with the structural abnormalities in the thalamus and inferior frontal gyrus; these anatomical abnormalities may significantly contribute to the emergence of ADHD symptoms.
Collapse
Affiliation(s)
- Rahman Baboli
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
- Graduate School of Biomedical Sciences, Rutgers University, Newark, NJ 07039, USA
| | - Meng Cao
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
- Graduate School of Biomedical Sciences, Rutgers University, Newark, NJ 07039, USA
| | - Jeffery M. Halperin
- Department of Psychology, Queens College, City University of New York, New York, NY 11367, USA
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
| |
Collapse
|
9
|
Zhou R, Dong P, Chen S, Qian A, Tao J, Zheng X, Cheng J, Yang C, Huang X, Wang M. The long-range white matter microstructural alterations in drug-naive children with ADHD: A tract-based spatial statistics study. Psychiatry Res Neuroimaging 2022; 327:111548. [PMID: 36279811 DOI: 10.1016/j.pscychresns.2022.111548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 09/12/2022] [Accepted: 10/04/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND To investigate WM alterations, particularly the changes in long-range fibers, in drug-naive children with attention deficit hyperactivity disorder (ADHD), we conducted tract-based spatial statistics (TBSS) analysis on diffusion tensor imaging (DTI) data. MATERIALS AND METHODS In this study, 57 children with ADHD and 41 healthy controls (HCs) were enrolled. None of the enrolled ADHD children received any medication before data collection. WM changes were then correlated with clinical symptoms, including the hyperactivity index score and the impulsivity score. RESULTS ADHD children demonstrated decreased FA in the right forceps major, left inferior fronto-occipital fasciculus, and left genu Internal capsule. Moreover, higher RD was observed in the right forceps major, superior longitudinal fasciculus, and forceps major. The results of linear regression analysis including learning problem score, hyperactivity index score and impulsivity score showed that higher earning problem and hyperactivity/impulsivity symptom scores were negatively correlated with the mean FA value in the right forceps major, left IFOF and left genu Internal capsule. CONCLUSION Our results demonstrate that microstructural WM alterations and changes in the long-range WM connections are present in children with ADHD. We speculate that these changes may relate to the symptoms of hyperactivity and impulsivity.
Collapse
Affiliation(s)
- Ronghui Zhou
- Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Peng Dong
- Department of Radiology, Ningbo Medical Treatment Center Lihuili Hospital, Ningbo University, Ningbo 315000, China
| | - Shuangli Chen
- Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Andan Qian
- Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Jiejie Tao
- Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Xiangwu Zheng
- Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Jingliang Cheng
- Department of Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Chuang Yang
- Department of Mental Health, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Xiaoqi Huang
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China.
| | - Meihao Wang
- Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
| |
Collapse
|
10
|
Halse M, Steinsbekk S, Hammar Å, Wichstrøm L. Longitudinal relations between impaired executive function and symptoms of psychiatric disorders in childhood. J Child Psychol Psychiatry 2022; 63:1574-1582. [PMID: 35478317 PMCID: PMC9790505 DOI: 10.1111/jcpp.13622] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 03/02/2022] [Accepted: 03/11/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Malfunctioning of executive functions correlates with psychopathology in children. However, the directionality, the extent to which the relation varies for various disorders, and whether prospective relations afford causal interpretations are not known. METHODS A community sample of Norwegian children (n = 874) was studied biennially from the age of 6 to 14 years. Executive functions were assessed using the Behavior Rating Inventory of Executive Function Teacher-report and symptoms of psychopathology were assessed using the Preschool Age Psychiatric Assessment (age 6; parents) and Child and Adolescent Psychiatric Assessment (ages 8-14; children and parents). Prospective reciprocal relations were examined using a random intercept cross-lagged panel model that adjusts for all unobserved time-invariant confounders. RESULTS Even when time-invariant confounders were accounted for, reduced executive functions predicted increased symptoms of depressive disorders, anxiety disorders, attention-deficit hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder (CD) 2 years later, even when previous changes in these symptoms were adjusted for. The level of prediction (B = .83, 95% CI [.37, 1.3]) was not different for different disorders or ages. Conversely, reduced executive functions were predicted by increased symptoms of all disorders (B = .01, 95% CI [.01, .02]). CONCLUSIONS Reduced executive functioning may be involved in the etiology of depression, anxiety, ADHD, and ODD/CD to an equal extent. Moreover, increased depression, anxiety, ADHD, and ODD/CD may negatively impact executive functioning.
Collapse
Affiliation(s)
- Marte Halse
- Norwegian University of Science and TechnologyTrondheimNorway
| | | | | | - Lars Wichstrøm
- Norwegian University of Science and TechnologyTrondheimNorway,Department of Child and Adolescent PsychiatrySt. Olavs HospitalTrondheimNorway
| |
Collapse
|
11
|
Mackes NK, Mehta MA, Beyh A, Nkrumah RO, Golm D, Sarkar S, Fairchild G, Dell'Acqua F, Sonuga-Barke EJS. A Prospective Study of the Impact of Severe Childhood Deprivation on Brain White Matter in Adult Adoptees: Widespread Localized Reductions in Volume But Unaffected Microstructural Organization. eNeuro 2022; 9:ENEURO.0188-22.2022. [PMID: 36376082 PMCID: PMC9665880 DOI: 10.1523/eneuro.0188-22.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 07/07/2022] [Accepted: 07/12/2022] [Indexed: 11/16/2022] Open
Abstract
Early childhood neglect can impact brain development across the lifespan. Using voxel-based approaches we recently reported that severe and time-limited institutional deprivation in early childhood was linked to substantial reductions in total brain volume in adulthood, >20 years later. Here, we extend this analysis to explore deprivation-related regional white matter volume and microstructural organization using diffusion-based techniques. A combination of tensor-based morphometry (TBM) analysis and tractography was conducted on diffusion-weighted imaging (DWI) data from 59 young adults who spent between 3 and 41 months in the severely depriving Romanian institutions of the 1980s before being adopted into United Kingdom families, and 20 nondeprived age-matched United Kingdom controls. Independent of total volume, institutional deprivation was associated with smaller volumes in localized regions across a range of white matter tracts including (1) long-ranging association fibers such as bilateral inferior longitudinal fasciculus (ILF), bilateral inferior fronto-occipital fasciculus (IFOF), left superior longitudinal fasciculi (SLFs), and left arcuate fasciculus; (2) tracts of the limbic circuitry including fornix and cingulum; and (3) projection fibers with the corticospinal tract particularly affected. Tractographic analysis found no evidence of altered microstructural organization of any tract in terms of hindrance modulated orientational anisotropy (HMOA), fractional anisotropy (FA), or mean diffusivity (MD). We provide further evidence for the effects of early neglect on brain development and their persistence in adulthood despite many years of environmental enrichment associated with successful adoption. Localized white matter effects appear limited to volumetric changes with microstructural organization unaffected.
Collapse
Affiliation(s)
- Nuria K Mackes
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Mitul A Mehta
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Ahmad Beyh
- Department of Forensic & Neurodevelopmental Sciences. Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Richard O Nkrumah
- Department of Neuroimaging, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim J5 68159, Germany
| | - Dennis Golm
- Centre for Innovation in Mental Health, School of Psychology, University of Southampton, Southampton SO17 1PS, United Kingdom
| | - Sagari Sarkar
- Cognitive Neuroscience & Neuropsychiatry, Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, United Kingdom
| | - Graeme Fairchild
- Department of Psychology, University of Bath, Bath BA2 7AY, United Kingdom
| | - Flavio Dell'Acqua
- Department of Forensic & Neurodevelopmental Sciences. Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Edmund J S Sonuga-Barke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom
- Department of Child & Adolescent Psychiatry, Aarhus University, Aarhus 8000, Denmark
| |
Collapse
|
12
|
Damatac CG, Chauvin RJM, Zwiers MP, van Rooij D, Akkermans SEA, Naaijen J, Hoekstra PJ, Hartman CA, Oosterlaan J, Franke B, Buitelaar JK, Beckmann CF, Sprooten E. White Matter Microstructure in Attention-Deficit/Hyperactivity Disorder: A Systematic Tractography Study in 654 Individuals. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:979-988. [PMID: 33054990 DOI: 10.1016/j.bpsc.2020.07.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 07/21/2020] [Accepted: 07/21/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by age-inappropriate levels of inattention and/or hyperactivity-impulsivity. ADHD has been related to differences in white matter (WM) microstructure. However, much remains unclear regarding the nature of these WM differences and which clinical aspects of ADHD they reflect. We systematically investigated whether fractional anisotropy (FA) is associated with current and/or lifetime categorical diagnosis, impairment in daily life, and continuous ADHD symptom measures. METHODS Diffusion-weighted imaging data were obtained from 654 participants (322 unaffected, 258 affected, 74 subthreshold; 7-29 years of age). We applied automated global probabilistic tractography on 18 major WM pathways. Linear mixed-effects regression models were used to examine associations of clinical measures with overall brain and tract-specific FA. RESULTS There were significant interactions of tract with all ADHD variables on FA. There were no significant associations of FA with current or lifetime diagnosis, nor with impairment. Lower FA in the right cingulum angular bundle was associated with higher hyperactivity-impulsivity symptom severity (pfamilywise error = .045). There were no significant effects for other tracts. CONCLUSIONS This is the first time global probabilistic tractography has been applied to an ADHD dataset of this size. We found no evidence for altered FA in association with ADHD diagnosis. Our findings indicate that associations of FA with ADHD are not uniformly distributed across WM tracts. Continuous symptom measures of ADHD may be more sensitive to FA than diagnostic categories. The right cingulum angular bundle in particular may play a role in symptoms of hyperactivity and impulsivity.
Collapse
Affiliation(s)
- Christienne G Damatac
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - Roselyne J M Chauvin
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marcel P Zwiers
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Daan van Rooij
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Sophie E A Akkermans
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jilly Naaijen
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Pieter J Hoekstra
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Catharina A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Jaap Oosterlaan
- Department of Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom
| | - Emma Sprooten
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| |
Collapse
|
13
|
Dutta CN, Christov-Moore L, Ombao H, Douglas PK. Neuroprotection in late life attention-deficit/hyperactivity disorder: A review of pharmacotherapy and phenotype across the lifespan. Front Hum Neurosci 2022; 16:938501. [PMID: 36226261 PMCID: PMC9548548 DOI: 10.3389/fnhum.2022.938501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 08/16/2022] [Indexed: 11/13/2022] Open
Abstract
For decades, psychostimulants have been the gold standard pharmaceutical treatment for attention-deficit/hyperactivity disorder (ADHD). In the United States, an astounding 9% of all boys and 4% of girls will be prescribed stimulant drugs at some point during their childhood. Recent meta-analyses have revealed that individuals with ADHD have reduced brain volume loss later in life (>60 y.o.) compared to the normal aging brain, which suggests that either ADHD or its treatment may be neuroprotective. Crucially, these neuroprotective effects were significant in brain regions (e.g., hippocampus, amygdala) where severe volume loss is linked to cognitive impairment and Alzheimer's disease. Historically, the ADHD diagnosis and its pharmacotherapy came about nearly simultaneously, making it difficult to evaluate their effects in isolation. Certain evidence suggests that psychostimulants may normalize structural brain changes typically observed in the ADHD brain. If ADHD itself is neuroprotective, perhaps exercising the brain, then psychostimulants may not be recommended across the lifespan. Alternatively, if stimulant drugs are neuroprotective, then this class of medications may warrant further investigation for their therapeutic effects. Here, we take a bottom-up holistic approach to review the psychopharmacology of ADHD in the context of recent models of attention. We suggest that future studies are greatly needed to better appreciate the interactions amongst an ADHD diagnosis, stimulant treatment across the lifespan, and structure-function alterations in the aging brain.
Collapse
Affiliation(s)
- Cintya Nirvana Dutta
- Biostatistics Group, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- School of Modeling, Simulation, and Training, and Computer Science, University of Central Florida, Orlando, FL, United States
| | - Leonardo Christov-Moore
- Brain and Creativity Institute, University of Southern California, Los Angeles, CA, United States
| | - Hernando Ombao
- Biostatistics Group, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Pamela K. Douglas
- School of Modeling, Simulation, and Training, and Computer Science, University of Central Florida, Orlando, FL, United States
- Department of Psychiatry and Biobehavioral Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| |
Collapse
|
14
|
Chen IC, Chang CL, Chang MH, Ko LW. Atypical functional connectivity during rest and task-related dynamic alteration in young children with attention deficit hyperactivity disorder: An analysis using the phase-locking value. Psychiatry Clin Neurosci 2022; 76:235-245. [PMID: 35235255 DOI: 10.1111/pcn.13344] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 02/18/2022] [Accepted: 02/24/2022] [Indexed: 11/30/2022]
Abstract
AIM The study investigated the electroencephalography (EEG) functional connectivity (FC) profiles during rest and tasks of young children with attention deficit hyperactivity disorder (ADHD) and typical development (TD). METHODS In total, 78 children (aged 5-7 years) were enrolled in this study; 43 of them were diagnosed with ADHD and 35 exhibited TD. Four FC metrics, coherence, phase-locking value (PLV), pairwise phase consistency, and phase lag index, were computed for feature selection to discriminate ADHD from TD. RESULTS The support vector machine classifier trained by phase-locking value (PLV) features yielded the best performance to differentiate the ADHD from the TD group and was used for further analysis. In comparing PLVs with the TD group at rest, the ADHD group exhibited significantly lower values on left intrahemispheric long interelectrode lower-alpha and beta as well as frontal interhemispheric beta frequency bands. However, the ADHD group showed higher values of central interhemispheric PLVs on the theta, higher-alpha, and beta bands. Regarding PLV alterations within resting and task conditions, left intrahemispheric long interelectrode beta PLVs declined from rest to task in the TD group, but the alterations did not differ in the ADHD group. Negative correlations were observed between frontal interhemispheric beta PLVs and the Disruptive Behavior Disorder Rating Scale as rated by teachers. CONCLUSIONS These results, which complement the findings of other sparse studies that have investigated task-related brain FC dynamics, particularly in young children with ADHD, can provide clinicians with significant and interpretable neural biomarkers for facilitating the diagnosis of ADHD.
Collapse
Affiliation(s)
- I-Chun Chen
- International Ph. D. Program in Interdisciplinary Neuroscience, College of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.,Department of Physical Medicine and Rehabilitation, Ton-Yen General Hospital, Hsinchu, Taiwan
| | | | - Meng-Han Chang
- Department of Psychiatry, Ton-Yen General Hospital, Hsinchu, Taiwan
| | - Li-Wei Ko
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.,Department of Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.,Brain Research Center and the Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan.,Drug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| |
Collapse
|
15
|
Damatac CG, Soheili-Nezhad S, Blazquez Freches G, Zwiers MP, de Bruijn S, Ikde S, Portengen CM, Abelmann AC, Dammers JT, van Rooij D, Akkermans SEA, Naaijen J, Franke B, Buitelaar JK, Beckmann CF, Sprooten E. Longitudinal changes of ADHD symptoms in association with white matter microstructure: A tract-specific fixel-based analysis. Neuroimage Clin 2022; 35:103057. [PMID: 35644111 PMCID: PMC9144034 DOI: 10.1016/j.nicl.2022.103057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 05/09/2022] [Accepted: 05/21/2022] [Indexed: 11/19/2022]
Abstract
HI symptom remission is associated with more follow-up lCST FD. Combined symptom remission is associated with more follow-up lCST FC. Altered white matter development may be moderated by preceding symptom trajectory.
Background Variation in the longitudinal course of childhood attention deficit/hyperactivity disorder (ADHD) coincides with neurodevelopmental maturation of brain structure and function. Prior work has attempted to determine how alterations in white matter (WM) relate to changes in symptom severity, but much of that work has been done in smaller cross-sectional samples using voxel-based analyses. Using standard diffusion-weighted imaging (DWI) methods, we previously showed WM alterations were associated with ADHD symptom remission over time in a longitudinal sample of probands, siblings, and unaffected individuals. Here, we extend this work by further assessing the nature of these changes in WM microstructure by including an additional follow-up measurement (aged 18 – 34 years), and using the more physiologically informative fixel-based analysis (FBA). Methods Data were obtained from 139 participants over 3 clinical and 2 follow-up DWI waves, and analyzed using FBA in regions-of-interest based on prior findings. We replicated previously reported significant models and extended them by adding another time-point, testing whether changes in combined ADHD and hyperactivity-impulsivity (HI) continuous symptom scores are associated with fixel metrics at follow-up. Results Clinical improvement in HI symptoms over time was associated with more fiber density at follow-up in the left corticospinal tract (lCST) (tmax = 1.092, standardized effect[SE] = 0.044, pFWE = 0.016). Improvement in combined ADHD symptoms over time was associated with more fiber cross-section at follow-up in the lCST (tmax = 3.775, SE = 0.051, pFWE = 0.019). Conclusions Aberrant white matter development involves both lCST micro- and macrostructural alterations, and its path may be moderated by preceding symptom trajectory.
Collapse
Affiliation(s)
- Christienne G Damatac
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| | - Sourena Soheili-Nezhad
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| | - Guilherme Blazquez Freches
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| | - Marcel P Zwiers
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| | - Sanne de Bruijn
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands
| | - Seyma Ikde
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands
| | - Christel M Portengen
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| | - Amy C Abelmann
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| | - Janneke T Dammers
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| | - Daan van Rooij
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| | - Sophie E A Akkermans
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands
| | - Jilly Naaijen
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands; Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands.
| | - Jan K Buitelaar
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Karakter Child and Adolescent Psychiatry University Centre, Reiner Postlaan 12, 6525 GC Nijmegen, The Netherlands.
| | - Christian F Beckmann
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain, Nufeld Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, OX3 9DU Oxford, United Kingdom.
| | - Emma Sprooten
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
| |
Collapse
|
16
|
Guberman GI, Stojanovski S, Nishat E, Ptito A, Bzdok D, Wheeler AL, Descoteaux M. Multi-tract multi-symptom relationships in pediatric concussion. eLife 2022; 11:e70450. [PMID: 35579325 PMCID: PMC9132577 DOI: 10.7554/elife.70450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 04/26/2022] [Indexed: 11/16/2022] Open
Abstract
Background The heterogeneity of white matter damage and symptoms in concussion has been identified as a major obstacle to therapeutic innovation. In contrast, most diffusion MRI (dMRI) studies on concussion have traditionally relied on group-comparison approaches that average out heterogeneity. To leverage, rather than average out, concussion heterogeneity, we combined dMRI and multivariate statistics to characterize multi-tract multi-symptom relationships. Methods Using cross-sectional data from 306 previously concussed children aged 9-10 from the Adolescent Brain Cognitive Development Study, we built connectomes weighted by classical and emerging diffusion measures. These measures were combined into two informative indices, the first representing microstructural complexity, the second representing axonal density. We deployed pattern-learning algorithms to jointly decompose these connectivity features and 19 symptom measures. Results Early multi-tract multi-symptom pairs explained the most covariance and represented broad symptom categories, such as a general problems pair, or a pair representing all cognitive symptoms, and implicated more distributed networks of white matter tracts. Further pairs represented more specific symptom combinations, such as a pair representing attention problems exclusively, and were associated with more localized white matter abnormalities. Symptom representation was not systematically related to tract representation across pairs. Sleep problems were implicated across most pairs, but were related to different connections across these pairs. Expression of multi-tract features was not driven by sociodemographic and injury-related variables, as well as by clinical subgroups defined by the presence of ADHD. Analyses performed on a replication dataset showed consistent results. Conclusions Using a double-multivariate approach, we identified clinically-informative, cross-demographic multi-tract multi-symptom relationships. These results suggest that rather than clear one-to-one symptom-connectivity disturbances, concussions may be characterized by subtypes of symptom/connectivity relationships. The symptom/connectivity relationships identified in multi-tract multi-symptom pairs were not apparent in single-tract/single-symptom analyses. Future studies aiming to better understand connectivity/symptom relationships should take into account multi-tract multi-symptom heterogeneity. Funding Financial support for this work came from a Vanier Canada Graduate Scholarship from the Canadian Institutes of Health Research (G.I.G.), an Ontario Graduate Scholarship (S.S.), a Restracomp Research Fellowship provided by the Hospital for Sick Children (S.S.), an Institutional Research Chair in Neuroinformatics (M.D.), as well as a Natural Sciences and Engineering Research Council CREATE grant (M.D.).
Collapse
Affiliation(s)
- Guido I Guberman
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill UniversityMontrealCanada
| | - Sonja Stojanovski
- Department of Physiology, Faculty of Medicine, University of TorontoTorontoCanada
- Neuroscience and Mental Health, The Hospital for Sick ChildrenTorontoCanada
| | - Eman Nishat
- Department of Physiology, Faculty of Medicine, University of TorontoTorontoCanada
- Neuroscience and Mental Health, The Hospital for Sick ChildrenTorontoCanada
| | - Alain Ptito
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill UniversityMontrealCanada
| | - Danilo Bzdok
- McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill UniversityMontrealCanada
- Department of Biomedical Engineering, Faculty of Medicine, School of Computer Science, McGill UniversityMontrealCanada
- Mila - Quebec Artificial Intelligence InstituteMontrealCanada
| | - Anne L Wheeler
- Department of Physiology, Faculty of Medicine, University of TorontoTorontoCanada
- Neuroscience and Mental Health, The Hospital for Sick ChildrenTorontoCanada
| | - Maxime Descoteaux
- Department of Computer Science, Université de SherbrookeSherbrookeCanada
- Imeka Solutions IncSherbrookeCanada
| |
Collapse
|
17
|
Whole-brain white matter correlates of personality profiles predictive of subjective well-being. Sci Rep 2022; 12:4558. [PMID: 35296777 PMCID: PMC8927329 DOI: 10.1038/s41598-022-08686-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 02/22/2022] [Indexed: 11/08/2022] Open
Abstract
We investigated the white matter correlates of personality profiles predictive of subjective well-being. Using principal component analysis to first determine the possible personality profiles onto which core personality measures would load, we subsequently searched for whole-brain white matter correlations with these profiles. We found three personality profiles that correlated with the integrity of white matter tracts. The correlates of an “optimistic” personality profile suggest (a) an intricate network for self-referential processing that helps regulate negative affect and maintain a positive outlook on life, (b) a sustained capacity for visually tracking rewards in the environment and (c) a motor readiness to act upon the conviction that desired rewards are imminent. The correlates of a “short-term approach behavior” profile was indicative of minimal loss of integrity in white matter tracts supportive of lifting certain behavioral barriers, possibly allowing individuals to act more outgoing and carefree in approaching people and rewards. Lastly, a “long-term approach behavior” profile’s association with white matter tracts suggests lowered sensitivity to transient updates of stimulus-based associations of rewards and setbacks, thus facilitating the successful long-term pursuit of goals. Together, our findings yield convincing evidence that subjective well-being has its manifestations in the brain.
Collapse
|
18
|
Zhao Y, Yang L, Gong G, Cao Q, Liu J. Identify aberrant white matter microstructure in ASD, ADHD and other neurodevelopmental disorders: A meta-analysis of diffusion tensor imaging studies. Prog Neuropsychopharmacol Biol Psychiatry 2022; 113:110477. [PMID: 34798202 DOI: 10.1016/j.pnpbp.2021.110477] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/26/2021] [Accepted: 11/11/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND Neurodevelopmental disorders (NDDs) usually present overlapping symptoms. Abnormal white matter (WM) microstructure has been found in these disorders. Identification of common and unique neural abnormalities across NDDs could provide further insight into the underlying pathophysiological mechanisms. METHODS We performed a voxel-based meta-analysis of whole-brain diffusion tensor imaging (DTI) studies in autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD) and other NDDs. A systematic literature search was conducted through March 2020 to identify studies that compared measures of WM microstructure between patients with NDDs and neurotypical controls. Peak voxel coordinates were meta-analyzed via anisotropic effect size-signed differential mapping (AES-SDM) as well as activation likelihood estimation (ALE). RESULTS Our final sample included a total of 4137 subjects from 66 studies across five NDDs. Fractional anisotropy (FA) reductions were found in the splenium of the CC in ADHD, and the genu and splenium of CC in ASD. And mean diffusivity (MD) increases were shown in posterior thalamic radiation in ASD. No consistent abnormalities were detected in specific learning disorder, motor disorder or communication disorder. Significant differences between child/adolescent and adult patients were found within the CC across NDDs, reflective of aberrant neurodevelopmental processes in NDDs. CONCLUSIONS The current study demonstrated atypical WM patterns in ASD, ADHD and other NDDs. Microstructural abnormalities in the splenium of the CC were possibly shared among ASD and ADHD.
Collapse
Affiliation(s)
- Yilu Zhao
- The Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health, (Peking University), Beijing, China
| | - Li Yang
- The Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health, (Peking University), Beijing, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Qingjiu Cao
- The Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health, (Peking University), Beijing, China.
| | - Jing Liu
- The Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health, (Peking University), Beijing, China.
| |
Collapse
|
19
|
Zhang M, Huang Y, Jiao J, Yuan D, Hu X, Yang P, Zhang R, Wen L, Situ M, Cai J, Sun X, Guo K, Huang X, Huang Y. Transdiagnostic symptom subtypes across autism spectrum disorders and attention deficit hyperactivity disorder: validated by measures of neurocognition and structural connectivity. BMC Psychiatry 2022; 22:102. [PMID: 35139813 PMCID: PMC8827180 DOI: 10.1186/s12888-022-03734-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 01/26/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUNDS Autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD) are neurodevelopmental disorders that exhibit within-disorder heterogeneity and cross-disorder phenotypic overlap, thus suggesting that the current disease categories may not fully represent the etiologic essence of the disorders, especially for highly comorbid neurodevelopmental disorders. In this study, we explored the subtypes of a combined sample of ASD and ADHD by integrating measurements of behavior, cognition and brain imaging. METHODS A total of 164 participants, including 65 with ASD, 47 with ADHD, and 52 controls, were recruited. Unsupervised machine learning with an agglomerative hierarchical clustering algorithm was used to identify transdiagnostic symptom clusters. Neurocognition and brain structural connectivity measurements were used to assess symptom clusters. Mediation analysis was used to explore the relationship between transdiagnostic symptoms, neurocognition and brain structural connectivity. RESULTS We identified three symptom clusters that did not fall within the diagnostic boundaries of DSM. External measurements from neurocognition and neuroimaging domains supported distinct profiles, including fine motor function, verbal fluency, and structural connectivity in the corpus callosum between these symptom clusters, highlighting possible biomarkers for ASD and ADHD. Additionally, fine motor function was shown to mediate the relationship between the corpus callosum and perseveration symptoms. CONCLUSIONS In this transdiagnostic study on ASD and ADHD, we identified three subtypes showing meaningful associations between symptoms, neurocognition and brain white matter structural connectivity. The fine motor function and structural connectivity of corpus callosum might be used as biomarkers for neurodevelopmental disorders with social skill symptoms. The results of this study highlighted the importance of precise phenotyping and further supported the effects of fine motor intervention on ASD and ADHD.
Collapse
Affiliation(s)
- Manxue Zhang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yan Huang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Jian Jiao
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Danfeng Yuan
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiao Hu
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Pingyuan Yang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Rui Zhang
- grid.54549.390000 0004 0369 4060University of Electronic Science and Technology of China, Chengdu, China
| | - Liangjian Wen
- grid.54549.390000 0004 0369 4060University of Electronic Science and Technology of China, Chengdu, China
| | - Mingjing Situ
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Jia Cai
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xueli Sun
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Kuifang Guo
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xia Huang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yi Huang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China. .,Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.
| |
Collapse
|
20
|
Chiang HL, Yang LK, Chen YJ, Hsu YC, Lo YC, Isaac Tseng WY, Shur-Fen Gau S. Altered White-matter Tract Property in Adults with Attention-Deficit Hyperactivity Disorder. Neuroscience 2022; 487:78-87. [DOI: 10.1016/j.neuroscience.2022.01.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 01/23/2022] [Accepted: 01/31/2022] [Indexed: 10/19/2022]
|
21
|
Xu F, Jin C, Zuo T, Wang R, Yang Y, Wang K. Segmental abnormalities of superior longitudinal fasciculus microstructure in patients with schizophrenia, bipolar disorder, and attention-deficit/hyperactivity disorder: An automated fiber quantification tractography study. Front Psychiatry 2022; 13:999384. [PMID: 36561639 PMCID: PMC9766353 DOI: 10.3389/fpsyt.2022.999384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/21/2022] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Superior longitudinal fasciculus (SLF) is a white matter (WM) tract that connects the frontal, parietal and temporal lobes. SLF integrity has been widely assessed in neuroimaging studies of psychiatric disorders, such as schizophrenia (SZ), bipolar disorder (BD), and attention-deficit/hyperactivity disorder (ADHD). However, prior studies have revealed inconsistent findings and comparisons across disorders have not been fully examined. METHODS Here, we obtained data for 113 patients (38 patients with SZ, 40 with BD, 35 with ADHD) and 94 healthy controls from the UCLA Consortium for Neuropsychiatric Phenomic LA5c dataset. We assessed the integrity of 20 major WM tracts with a novel segmentation method by automating fiber tract quantification (AFQ). The AFQ divides each tract into 100 equal parts along the direction of travel, with fractional anisotropy (FA) of each part taken as a characteristic. Differences in FA among the four groups were examined. RESULTS Compared to healthy controls, patients with SZ showed significantly lower FA in the second half (51-100 parts) of the SLF. No differences were found between BD and healthy controls, nor between ADHD and healthy controls. Results also demonstrated that patients with SZ showed FA reduction in the second half of the SLF relative to patients with BP. Moreover, greater FA in patients in SLF was positively correlated with the manic-hostility score of the Brief Psychiatry Rating scale. DISCUSSION These findings indicated that differences in focal changes in SLF might be a key neurobiological abnormality contributing to characterization of these psychiatric disorders.
Collapse
Affiliation(s)
- Feiyu Xu
- School of Mental Health, Jining Medical University, Jining, China.,Shandong Mental Health Center, Shandong University, Jinan, China
| | - Chengliang Jin
- School of Mental Health, Jining Medical University, Jining, China.,Shandong Mental Health Center, Shandong University, Jinan, China
| | - Tiantian Zuo
- Shandong Mental Health Center, Shandong University, Jinan, China.,Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ruzhan Wang
- Shandong Mental Health Center, Shandong University, Jinan, China
| | - Ying Yang
- Shandong Mental Health Center, Shandong University, Jinan, China.,Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Kangcheng Wang
- School of Psychology, Shandong Normal University, Jinan, China
| |
Collapse
|
22
|
Lee D, Quattrocki Knight E, Song H, Lee S, Pae C, Yoo S, Park HJ. Differential structure-function network coupling in the inattentive and combined types of attention deficit hyperactivity disorder. PLoS One 2021; 16:e0260295. [PMID: 34851976 PMCID: PMC8635373 DOI: 10.1371/journal.pone.0260295] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 11/05/2021] [Indexed: 11/19/2022] Open
Abstract
The heterogeneous presentation of inattentive and hyperactive-impulsive core symptoms in attention deficit hyperactivity disorder (ADHD) warrants further investigation into brain network connectivity as a basis for subtype divisions in this prevalent disorder. With diffusion and resting-state functional magnetic resonance imaging data from the Healthy Brain Network database, we analyzed both structural and functional network efficiency and structure-functional network (SC-FC) coupling at the default mode (DMN), executive control (ECN), and salience (SAN) intrinsic networks in 201 children diagnosed with the inattentive subtype (ADHD-I), the combined subtype (ADHD-C), and typically developing children (TDC) to characterize ADHD symptoms relative to TDC and to test differences between ADHD subtypes. Relative to TDC, children with ADHD had lower structural connectivity and network efficiency in the DMN, without significant group differences in functional networks. Children with ADHD-C had higher SC-FC coupling, a finding consistent with diminished cognitive flexibility, for all subnetworks compared to TDC. The ADHD-C group also demonstrated increased SC-FC coupling in the DMN compared to the ADHD-I group. The correlation between SC-FC coupling and hyperactivity scores was negative in the ADHD-I, but not in the ADHD-C group. The current study suggests that ADHD-C and ADHD-I may differ with respect to their underlying neuronal connectivity and that the added dimensionality of hyperactivity may not explain this distinction.
Collapse
Affiliation(s)
- Dongha Lee
- Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, Republic of Korea
- Cognitive Science Research Group, Korea Brain Research Institute, Daegu, Republic of Korea
| | - Elizabeth Quattrocki Knight
- Department of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, Massachusetts, United States of America
| | - Hyunjoo Song
- Department of Educational Psychology, Seoul Women’s University, Seoul, Republic of Korea
| | - Saebyul Lee
- Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, Republic of Korea
- Department of Nuclear Medicine, Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chongwon Pae
- Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, Republic of Korea
- Department of Nuclear Medicine, Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sol Yoo
- Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, Republic of Korea
- Department of Cognitive Science, Yonsei University, Seoul, Republic of Korea
| | - Hae-Jeong Park
- Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, Republic of Korea
- Department of Nuclear Medicine, Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Cognitive Science, Yonsei University, Seoul, Republic of Korea
- Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea
- * E-mail:
| |
Collapse
|
23
|
Leenders AEM, Damatac CG, Soheili‐Nezhad S, Chauvin RJM, Mennes MJJ, Zwiers MP, Rooij D, Akkermans SEA, Naaijen J, Franke B, Buitelaar JK, Beckmann CF, Sprooten E. Associations between attention‐deficit hyperactivity disorder (ADHD) symptom remission and white matter microstructure: A longitudinal analysis. JCPP ADVANCES 2021; 1. [PMID: 35434717 PMCID: PMC9012480 DOI: 10.1002/jcv2.12040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Background: Attention-deficit hyperactivity disorder (ADHD) is associated with white matter (WM) microstructure. Our objective was to investigate how WM microstructure is longitudinally related to symptom remission in adolescents and young adults with ADHD. Methods: We obtained diffusion-weighted imaging (DWI) data from 99 participants at two timepoints (mean age baseline: 16.91 years, mean age follow-up: 20.57 years). We used voxel-wise Tract-Based Spatial Statistics (TBSS) with permutation-based inference to investigate associations of inattention (IA) and hyperactivity-impulsivity (HI) symptom change with fractional anisotropy (FA) at baseline, follow-up, and change between time-points. Results: Remission of combined HI and IA symptoms was significantly associated with reduced FA at follow-up in the left superior longitudinal fasciculus and the left corticospinal tract (CST; PFWE = 0.038 and PFWE = 0.044, respectively), mainly driven by an association between HI remission and follow-up CST FA (PFWE = 0.049). There was no significant association of combined symptom decrease with FA at baseline or with changes in FA between the two assessments. Conclusions: In this longitudinal DWI study of ADHD using dimensional symptom scores, we show that greater symptom decrease is associated with lower follow-up FA in specific WM tracts. Altered FA thus may appear to follow, rather than precede, changes in symptom remission. Our findings indicate divergent WM developmental trajectories between individuals with persistent and remittent ADHD, and support the role of prefrontal and sensorimotor tracts in the remission of ADHD.
Collapse
Affiliation(s)
- Anne E. M. Leenders
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
| | - Christienne G. Damatac
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
| | - Sourena Soheili‐Nezhad
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
| | - Roselyne J. M. Chauvin
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
| | - Maarten J. J. Mennes
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
| | - Marcel P. Zwiers
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
| | - Daan Rooij
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
| | - Sophie E. A. Akkermans
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Human Genetics Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
| | - Jilly Naaijen
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
| | - Barbara Franke
- Department of Human Genetics Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
- Department of Psychiatry Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
| | - Jan K. Buitelaar
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
- Karakter Child and Adolescent Psychiatry University Centre Nijmegen The Netherlands
| | - Christian F. Beckmann
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
- Centre for Functional MRI of the Brain University of Oxford Oxford UK
| | - Emma Sprooten
- Centre for Cognitive Neuroimaging Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
- Department of Cognitive Neuroscience Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
| |
Collapse
|
24
|
White matter abnormalities associated with ADHD outcomes in adulthood. Mol Psychiatry 2021; 26:6655-6665. [PMID: 34035475 PMCID: PMC8613296 DOI: 10.1038/s41380-021-01153-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Revised: 03/24/2021] [Accepted: 04/29/2021] [Indexed: 02/04/2023]
Abstract
It remains unclear if previously reported structural abnormalities in children with ADHD are present in adulthood regardless of clinical outcome. In this study, we examined the extent to which focal-rather than diffuse-abnormalities in fiber collinearity of 18 major white matter tracts could distinguish 126 adults with rigorously diagnosed childhood ADHD (ADHD; mean age [SD] = 34.3 [3.6] years; F/M = 12/114) from 58 adults without ADHD histories (non-ADHD; mean age [SD] = 33.9 [4.1] years; F/M = 5/53) and if any of these abnormalities were greater for those with persisting ADHD symptomatology. To this end, a tract profile approach was used. After accounting for age, sex, handedness, and comorbidities, a MANCOVA revealed a main effect of group (ADHD < non-ADHD; F[18,155] = 2.1; p = 0.007) on fractional anisotropy (FA, a measure of fiber collinearity and/or integrity), in focal portions of white matter tracts involved in visuospatial processing and memory (i.e., anterior portion of the left inferior longitudinal fasciculus, and middle portion of the left and right cingulum angular bundle). Only abnormalities in the anterior portion of the left inferior longitudinal fasciculus distinguished probands with persisting versus desisting ADHD symptomatology, suggesting that abnormalities in the cingulum angular bundle might reflect "scarring" effects of childhood ADHD. To our knowledge, this is the first study using a tract profile approach to identify focal or widespread structural abnormalities in adults with ADHD rigorously diagnosed in childhood.
Collapse
|
25
|
ElShahawi HH, Effat SM, Shorab EM, Sakr HM, Azab SE, Aufa OM. Study of white matter integrity in fathers of children with attention deficit hyperactivity disorder. MIDDLE EAST CURRENT PSYCHIATRY 2021. [DOI: 10.1186/s43045-021-00137-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Attention deficit hyperactivity disorder (ADHD) is an early-onset neurodevelopmental disorder that can extend into adulthood with multiple reported neuroimaging abnormalities. The focus of this research was to assess white matter impairments in ADHD children’s fathers with and without potential adult ADHD to see if these differences are connected with the persistence of ADHD into adulthood.
Results
The occurrence rate of the potential adult ADHD diagnosis among fathers of children with ADHD was 60%. There were statistically significant differences between fathers with ADHD and the non-ADHD population, due to the fact that the mean FA of the left superior corona radiata and the right posterior corona radiata were lower in the ADHD group than in the non-ADHD group, while the FA of the ADHD group was significantly greater than that of the non-ADHD group in terms of the left and right anterior thalamic radiations, the right superior longitudinal fasciculus and the left anterior corona radiata.
Conclusions
We observed an increased prevalence of ADHD in fathers of children diagnosed with ADHD. Fathers with potential adult ADHD have a variety of white matter abnormalities that reflect the neurobiological basis of ADHD, even in sub-threshold cases. This may provide insight into the neuroanatomical locations associated with the maintenance of ADHD throughout adulthood.
Collapse
|
26
|
Fu GH, Chen W, Li HM, Wang YF, Liu L, Qian QJ. A potential association of RNF219-AS1 with ADHD: Evidence from categorical analysis of clinical phenotypes and from quantitative exploration of executive function and white matter microstructure endophenotypes. CNS Neurosci Ther 2021; 27:603-616. [PMID: 33644999 PMCID: PMC8025624 DOI: 10.1111/cns.13629] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 01/25/2021] [Accepted: 02/07/2021] [Indexed: 01/01/2023] Open
Abstract
Aims Attention‐deficit/hyperactivity disorder (ADHD) is a neuropsychiatric disorder of substantial heritability, yet emerging evidence suggests that key risk variants might reside in the noncoding regions of the genome. Our study explored the association of lncRNAs (long noncoding RNAs) with ADHD as represented at three different phenotypic levels guided by the Research Domain Criteria (RDoC) framework: (i) ADHD caseness and symptom dimension, (ii) executive functions as functional endophenotype, and (iii) potential genetic influence on white matter architecture as brain structural endophenotype. Methods Genotype data of 107 tag single nucleotide polymorphisms (SNP) from 10 candidate lncRNAs were analyzed in 1040 children with ADHD and 630 controls of Chinese Han descent. Executive functions including inhibition and set‐shifting were assessed by STROOP and trail making tests, respectively. Imaging genetic analyses were performed in a subgroup of 33 children with ADHD and 55 controls using fractional anisotropy (FA). Results One SNP rs3908461 polymorphism in RNF219‐AS1 was found to be significantly associated with ADHD caseness: with C‐allele detected as the risk genotype in the allelic model (P = 8.607E‐05) and dominant genotypic model (P = 9.628E‐05). Nominal genotypic effects on inhibition (p = 0.020) and set‐shifting (p = 0.046) were detected. While no direct effect on ADHD core symptoms was detected, mediation analysis suggested that SNP rs3908461 potentially exerted an indirect effect through inhibition function [B = 0.21 (SE = 0.12), 95% CI = 0.02‐0.49]. Imaging genetic analyses detected significant associations between rs3908461 genotypes and FA values in corpus callosum, left superior longitudinal fasciculus, left posterior limb of internal capsule, left posterior thalamic radiate (include optic radiation), and the left anterior corona radiate (PFWE corrected < 0.05). Conclusion Our present study examined the potential roles of lncRNA in genetic etiological of ADHD and provided preliminary evidence in support of the potential RNF219‐AS1 involvement in the pathophysiology of ADHD in line with the RDoC framework.
Collapse
Affiliation(s)
- Guang-Hui Fu
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & The Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Wai Chen
- Mental Health Service, Fiona Stanley Hospital, Perth, Australia.,Graduate School of Education, The University of Western Australia, Perth, Australia.,School of Medicine, The University of Notre Dame Australia, Fremantle, Australia.,School of Psychology, Murdoch University, Perth, Australia
| | - Hai-Mei Li
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & The Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Yu-Feng Wang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & 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 & The Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| | - Qiu-Jin Qian
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders & The Key Laboratory of Mental Health, Ministry of Health (Peking University, Beijing, China
| |
Collapse
|
27
|
Fattah M, Raman MM, Reiss AL, Green T. PTPN11 Mutations in the Ras-MAPK Signaling Pathway Affect Human White Matter Microstructure. Cereb Cortex 2020; 31:1489-1499. [PMID: 33119062 DOI: 10.1093/cercor/bhaa299] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 09/10/2020] [Accepted: 09/11/2020] [Indexed: 12/13/2022] Open
Abstract
We examined whether PTPN11 mutations affect the white matter connectivity of the developing human brain. Germline activating mutations to the PTPN11 gene cause overactivation of the Ras-Mitogen-Activated Protein Kinase pathway. Activating mutations cause Noonan syndrome (NS), a developmental disorder associated with hyperactivity and cognitive weakness in attention, executive function, and memory. In mouse models of NS, PTPN11 mutations cause reduced axon myelination and white matter formation, while the effects of PTPN11 mutations on human white matter are largely unknown. For the first time, we assessed 17 children with NS (9 females, mean age, 8.68 ± 2.39) and 17 age- and sex-matched controls (9 female, mean age, 8.71 ± 2.40) using diffusion brain imaging for white matter connectivity and structural magnetic resonance imaging to characterize brain morphology. Children with NS showed widespread reductions in fractional anisotropy (FA; 82 613 voxels, t = 1.49, P < 0.05) and increases in radial diffusivity (RD; 94 044 voxels, t = 1.22, P < 0.05), denoting decreased white matter connectivity. In NS, the FA of the posterior thalamic radiation correlated positively with inhibition performance, whereas connectivity in the genu of the corpus callosum was inversely associated with auditory attention performance. Additionally, we observed negative and positive correlations, respectively, between memory and the cingulum hippocampus, and memory and the cingulum cingulate gyrus. These findings elucidate the neural mechanism underpinning the NS cognitive phenotype, and may serve as a brain-based biomarker.
Collapse
Affiliation(s)
- Mustafa Fattah
- Division of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Mira M Raman
- Division of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Allan L Reiss
- Division of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.,Department of Radiology, School of Medicine, Stanford University, Stanford, CA 94305, USA.,Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Tamar Green
- Division of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| |
Collapse
|
28
|
Henriquez-Henriquez M, Acosta MT, Martinez AF, Vélez JI, Lopera F, Pineda D, Palacio JD, Quiroga T, Worgall TS, Deckelbaum RJ, Mastronardi C, Molina BSG, Arcos-Burgos M, Muenke M. Mutations in sphingolipid metabolism genes are associated with ADHD. Transl Psychiatry 2020; 10:231. [PMID: 32661301 PMCID: PMC7359313 DOI: 10.1038/s41398-020-00881-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 05/28/2020] [Accepted: 06/03/2020] [Indexed: 12/31/2022] Open
Abstract
Attention deficit hyperactivity disorder (ADHD) is the most prevalent neurodevelopmental disorder in children, with genetic factors accounting for 75-80% of the phenotypic variance. Recent studies have suggested that ADHD patients might present with atypical central myelination that can persist into adulthood. Given the essential role of sphingolipids in myelin formation and maintenance, we explored genetic variation in sphingolipid metabolism genes for association with ADHD risk. Whole-exome genotyping was performed in three independent cohorts from disparate regions of the world, for a total of 1520 genotyped subjects. Cohort 1 (MTA (Multimodal Treatment study of children with ADHD) sample, 371 subjects) was analyzed as the discovery cohort, while cohorts 2 (Paisa sample, 298 subjects) and 3 (US sample, 851 subjects) were used for replication. A set of 58 genes was manually curated based on their roles in sphingolipid metabolism. A targeted exploration for association between ADHD and 137 markers encoding for common and rare potentially functional allelic variants in this set of genes was performed in the screening cohort. Single- and multi-locus additive, dominant and recessive linear mixed-effect models were used. During discovery, we found statistically significant associations between ADHD and variants in eight genes (GALC, CERS6, SMPD1, SMPDL3B, CERS2, FADS3, ELOVL5, and CERK). Successful local replication for associations with variants in GALC, SMPD1, and CERS6 was demonstrated in both replication cohorts. Variants rs35785620, rs143078230, rs398607, and rs1805078, associated with ADHD in the discovery or replication cohorts, correspond to missense mutations with predicted deleterious effects. Expression quantitative trait loci analysis revealed an association between rs398607 and increased GALC expression in the cerebellum.
Collapse
Affiliation(s)
- Marcela Henriquez-Henriquez
- Department of Clinical Laboratories, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- ELSA Clinical Laboratories (IntegraMedica, part of Bupa), Santiago de Chile, Chile
| | - Maria T Acosta
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ariel F Martinez
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Francisco Lopera
- Neuroscience Research Group, University of Antioquia, Medellin, Colombia
| | - David Pineda
- Neuroscience Research Group, University of Antioquia, Medellin, Colombia
| | - Juan D Palacio
- Neuroscience Research Group, University of Antioquia, Medellin, Colombia
| | - Teresa Quiroga
- Department of Clinical Laboratories, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Tilla S Worgall
- Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
| | - Richard J Deckelbaum
- Department of Pediatrics, Institute of Human Nutrition, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Claudio Mastronardi
- Neuroscience Group (NeurUROS), Institute of Translational Medicine, School of Medicine and Health Sciences, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Brooke S G Molina
- Departments of Psychiatry, Psychology, and Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mauricio Arcos-Burgos
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Instituto de Investigaciones Me´dicas, Facultad de Medicina, Universidad de Antioquia, Medelli´n, Colombia.
| | - Maximilian Muenke
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| |
Collapse
|
29
|
Lahey BB, Hinton KE, Meyer FC, Villalta-Gil V, Van Hulle CA, Applegate B, Yang X, Zald DH. Sex differences in associations of socioemotional dispositions measured in childhood and adolescence with brain white matter microstructure 12 years later. PERSONALITY NEUROSCIENCE 2020; 3:e5. [PMID: 32524066 PMCID: PMC7253690 DOI: 10.1017/pen.2020.3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 11/22/2019] [Accepted: 02/09/2020] [Indexed: 01/10/2023]
Abstract
Predictive associations were estimated between socioemotional dispositions measured at 10-17 years using the Child and Adolescent Dispositions Scale (CADS) and future individual differences in white matter microstructure measured at 22-31 years of age. Participants were 410 twins (48.3% monozygotic) selected for later neuroimaging by oversampling on risk for psychopathology from a representative sample of child and adolescent twins. Controlling for demographic covariates and total intracranial volume (TICV), each CADS disposition (negative emotionality, prosociality, and daring) rated by one of the informants (parent or youth) significantly predicted global fractional anisotropy (FA) averaged across the major white matter tracts in brain in adulthood, but did so through significant interactions with sex after false discovery rate (FDR) correction. In females, each 1 SD difference in greater parent-rated prosociality was associated with 0.43 SD greater FA (p < 0.0008). In males, each 1 SD difference in greater parent-rated daring was associated with 0.24 SD lower FA (p < 0.0008), and each 1 SD difference in greater youth-rated negative emotionality was associated with 0.18 SD greater average FA (p < 0.0040). These findings suggest that CADS dispositions are associated with FA, but associations differ by sex. Exploratory analyses suggest that FA may mediate the associations between dispositions and psychopathology in some cases. These associations over 12 years could reflect enduring brain-behavior associations in spite of transactions with the environment, but could equally reflect processes in which dispositional differences in behavior influence the development of white matter. Future longitudinal studies are needed to resolve the causal nature of these sex-moderated associations.
Collapse
Affiliation(s)
- Benjamin B. Lahey
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Kendra E. Hinton
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, USA
| | | | | | - Carol A. Van Hulle
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Brooks Applegate
- Department of Educational Leadership, Research, and Technology, Western Michigan University, Kalamazoo, MI, USA
| | - Xiaochan Yang
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - David H. Zald
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, USA
| |
Collapse
|
30
|
Luo Y, Halperin JM, Li X. Anatomical substrates of symptom remission and persistence in young adults with childhood attention deficit/hyperactivity disorder. Eur Neuropsychopharmacol 2020; 33:117-125. [PMID: 32081497 PMCID: PMC7156333 DOI: 10.1016/j.euroneuro.2020.01.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 01/06/2020] [Accepted: 01/22/2020] [Indexed: 01/29/2023]
Abstract
Attention deficit/hyperactivity disorder (ADHD) is a highly prevalent neurodevelopmental disorder that emerges in childhood and persists into adulthood in a sizeable portion of afflicted individuals. The persistence of ADHD symptoms elevates the risk of adverse outcomes that result in substantial individual and societal burden. The objective of this study was to delineate neuroanatomical substrates associated with the diversity of adult outcomes of childhood ADHD, which may have considerable value for development of novel interventions that target mechanisms associated with recovery. Structural MRI and diffusion tensor imaging data from 32 young adults who were diagnosed with ADHD combined-type during childhood and 35 group-matched controls were analyzed. Adults with childhood ADHD were divided into 16 remitters and 16 persisters based on DSM-IV criteria. Compared to the controls, ADHD probands showed significantly reduced gray matter (GM) volume in right putamen and white matter (WM) volume in left parieto-insular fiber tracts. Within the ADHD probands, the remitters, as compared to persisters, showed significantly greater volume of right hippocampo-frontal and right parieto-insular WM fiber tracts, and those connecting caudate with the frontal, parietal, occipital, temporal, and insular cortices. Among ADHD probands, increased fractional anisotropy value of left caudate-parietal tract was significantly correlated with reduced hyperactive/impulsive symptoms. These findings suggest that optimal structural development in the WM tracts that connect caudate with cortical areas, especially in the caudate-parietal path, may play an important role in symptom remission in young adults with childhood ADHD.
Collapse
Affiliation(s)
- Yuyang Luo
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, United States
| | - Jeffrey M Halperin
- Department of Psychology, Queens College, City University of New York, NY, United States
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, United States; Department of Electrical and Computer Engineering, New Jersey Institute of Technology, NJ, United States.
| |
Collapse
|
31
|
Bu X, Yang C, Liang K, Lin Q, Lu L, Zhang L, Li H, Gao Y, Tang S, Hu X, Wang Y, Hu X, Wang M, Huang X. Quantitative tractography reveals changes in the corticospinal tract in drug-naïve children with attention-deficit/hyperactivity disorder. J Psychiatry Neurosci 2020; 45:134-141. [PMID: 31765114 PMCID: PMC7828908 DOI: 10.1503/jpn.190024] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The specific role of the corticospinal tract with respect to inattention and impulsive symptoms in children with attention-deficit/hyperactivity disorder (ADHD) has been explored in the past. However, to our knowledge, no study has identified the exact regions of the corticospinal tract that are affected in ADHD. We aimed to determine comprehensive alterations in the white matter microstructure of the corticospinal tract and underlying neuropsychological substrates in ADHD. METHODS We recruited 38 drug-naïve children with ADHD and 34 typically developing controls. We employed a tract-based quantitative approach to measure diffusion parameters along the trajectory of the corticospinal tract, and we further correlated alterations with attention and response inhibition measures. RESULTS Compared with controls, children with ADHD demonstrated significantly lower fractional anisotropy and higher radial diffusivity at the level of cerebral peduncle, and higher fractional anisotropy at the level of the posterior limb of the internal capsule in the right corticospinal tract only. As well, increased fractional anisotropy in the posterior limb of the internal capsule was negatively correlated with continuous performance test attention quotients and positively correlated with reaction time on the Stroop Colour–Word Test; increased radial diffusivity in the right peduncle region was positively correlated with omissions in the Stroop test. LIMITATIONS The sample size was relatively small. Moreover, we did not consider the different subtypes of ADHD and lacked sufficient power to analyze subgroup differences. Higher-order diffusion modelling is needed in future white matter studies. CONCLUSION We demonstrated specific changes in the right corticospinal tract in children with ADHD. Correlations with measures of attention and response inhibition underscored the functional importance of corticospinal tract disturbance in ADHD.
Collapse
Affiliation(s)
- Xuan Bu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Chuang Yang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Kaili Liang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Qingxia Lin
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Lu Lu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Lianqing Zhang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Hailong Li
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Yingxue Gao
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Shi Tang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Xiaoxiao Hu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Yanlin Wang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Xinyu Hu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Meihao Wang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Xiaoqi Huang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| |
Collapse
|
32
|
Wu ZM, Wang P, Yang L, Liu L, Sun L, An L, Cao QJ, Chan RCK, Yang BR, Wang YF. Altered brain white matter microstructural asymmetry in children with ADHD. Psychiatry Res 2020; 285:112817. [PMID: 32035376 DOI: 10.1016/j.psychres.2020.112817] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 01/25/2020] [Accepted: 01/25/2020] [Indexed: 01/23/2023]
Abstract
OBJECTIVES We aimed to examine brain white matter integrity in children with ADHD. METHODS In a cohort of children with ADHD (n = 83) and healthy controls (n = 122), we used tract-based spatial statistics on Diffusion Tensor Imaging (DTI) data to obtain the mean fractional anisotropy (FA) in 40 bilateral regions of interest (ROIs). Lateralization Index (LI) was calculated. The difference in LI between groups and correlations between the LI of each ROI and ADHD symptom scores as well as cognitive function were examined. RESULTS Children with ADHD had significantly greater LI at the posterior thalamic radiation (PTR) compared with healthy controls (mean LI in ADHD = 0.0096; in Control = 0.0044, p = 0.0143), and LI of the external capsule (EC) was significantly correlated with inattention symptoms in both groups (β = -0.00059, p = 0.0181). LI of the PTR was significantly correlated with inhibitory function in healthy controls (β = -0.0008510, p = 0.0248), but not in children with ADHD. CONCLUSION We found increased brain white matter asymmetry (leftward) in children with ADHD compared with healthy controls at the posterior thalamic radiation. Leftward lateralization of FA values at the external capsule was negatively correlated with ADHD symptoms in both children with ADHD and healthy controls.
Collapse
Affiliation(s)
- Zhao-Min Wu
- Shenzhen Children's Hospital, Shenzhen, 518000, China; Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, 100191, China; Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behavior, Nijmegen, the Netherlands.
| | - Peng Wang
- Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, 100191, China
| | - Li Yang
- Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, 100191, China
| | - Lu Liu
- Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, 100191, China
| | - Li Sun
- Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, 100191, China
| | - Li An
- Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, 100191, China
| | - Qing-Jiu Cao
- Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, 100191, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Bin-Rang Yang
- Shenzhen Children's Hospital, Shenzhen, 518000, China
| | - Yu-Feng Wang
- Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, 100191, China.
| |
Collapse
|
33
|
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]
|
34
|
Sidlauskaite J, Dhar M, Sonuga-Barke E, Wiersema JR. Altered proactive control in adults with ADHD: Evidence from event-related potentials during cued task switching. Neuropsychologia 2019; 138:107330. [PMID: 31887312 DOI: 10.1016/j.neuropsychologia.2019.107330] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 09/03/2019] [Accepted: 12/27/2019] [Indexed: 11/26/2022]
Abstract
Cognitive control has two distinct modes - proactive and reactive (Braver, T. S. (2012). The variable nature of cognitive control: a dual mechanisms framework. Trends in Cognitive Sciences, 16(2), 105-112). ADHD has been associated with cognitive control impairments. However, studies have mainly focused on reactive control and not proactive control. Here we investigated neural correlates of proactive and reactive cognitive control in a group of adults with ADHD versus healthy controls by employing a cued switching task while cue informativeness was manipulated and EEG recorded. On the performance level, only a trend to generally slower responding was found in the ADHD group. Cue-locked analyses revealed an attenuated informative-positivity - a differential component appearing when contrasting informative with non-informative alerting cues - and potentially altered lateralisation of the switch-positivity - evident in the contrast between switch and repeat trials for informative cues - in ADHD. No difference in target-locked activity was found. Our results indicate altered proactive rather than reactive control in adults with ADHD, evidenced by less use of cued advance information and abnormal preparatory processes for upcoming tasks.
Collapse
Affiliation(s)
- Justina Sidlauskaite
- Motor Control and Neural Plasticity Research Group, Department of Kinesiology, Leuven University, Belgium.
| | - Monica Dhar
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Belgium; Clinical and Lifespan Psychology, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Edmund Sonuga-Barke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Department of Experimental Clinical and Health Psychology, Ghent University, Belgium
| | - Jan R Wiersema
- Department of Experimental Clinical and Health Psychology, Ghent University, Belgium; Center for Cognitive Neuroscience, Ghent University, Belgium
| |
Collapse
|
35
|
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.
Collapse
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
| |
Collapse
|
36
|
Preliminary evidence of altered gray matter volume in subjects with internet gaming disorder: associations with history of childhood attention-deficit/hyperactivity disorder symptoms. Brain Imaging Behav 2019; 13:660-668. [PMID: 29748773 DOI: 10.1007/s11682-018-9872-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is commonly comorbid with Internet gaming disorder (IGD). Although childhood ADHD symptoms may decline during late brain maturation, structural alterations in some brain areas may persist into adulthood. This study investigated whether young adults with IGD and a history of childhood ADHD symptoms had gray matter volume (GMV) alterations that were distinct from subjects without a history of childhood ADHD. As an exploratory investigation, we conducted a whole-brain voxel-based morphometry with the diffeomorphic anatomical registration using an exponentiated Lie algebra algorithm and applied an uncorrected threshold at the voxel level for multiple comparisons. GMVs of IGD subjects with a history of childhood ADHD (IGDADHD+ group; n = 20; 24.5 ± 2.5 years) were compared to those of subjects without a history of childhood ADHD (IGDADHD- group; n = 20; 23.9 ± 2.5 years) and controls (n = 20; 22.7 ± 2.4 years). Compared with controls, both IGD groups had a smaller GMV in the right anterior cingulate cortex, the left inferior frontal gyrus, and the left insula, yet had a larger GMV in the right angular gyrus. The IGDADHD+ group had a larger GMV in the right precuneus than the IGDADHD- group and controls. When controlling for other comorbid psychiatric symptoms, the IGDADHD+ group also had a smaller GMV in the right inferior frontal gyrus. In conclusion, we found that young adults with IGD and a history of childhood ADHD symptoms had characteristic GMV alterations, which may be linked with their manifestation of childhood ADHD.
Collapse
|
37
|
Albaugh MD, Hudziak JJ, Ing A, Chaarani B, Barker E, Jia T, Lemaitre H, Watts R, Orr C, Spechler PA, Lepage C, Fonov V, Collins L, Rioux P, Evans AC, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Gowland P, Heinz A, Ittermann B, Martinot JL, Nees F, Orfanos DP, Paus T, Poustka L, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Garavan H, Potter A. White matter microstructure is associated with hyperactive/inattentive symptomatology and polygenic risk for attention-deficit/hyperactivity disorder in a population-based sample of adolescents. Neuropsychopharmacology 2019; 44:1597-1603. [PMID: 30952157 PMCID: PMC6784993 DOI: 10.1038/s41386-019-0383-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Revised: 02/24/2019] [Accepted: 03/30/2019] [Indexed: 12/17/2022]
Abstract
Few studies have investigated the link between putative biomarkers of attention-deficit/hyperactivity disorder (ADHD) symptomatology and genetic risk for ADHD. To address this, we investigate the degree to which ADHD symptomatology is associated with white matter microstructure and cerebral cortical thickness in a large population-based sample of adolescents. Critically, we then test the extent to which multimodal correlates of ADHD symptomatology are related to ADHD polygenic risk score (PRS). Neuroimaging, genetic, and behavioral data were obtained from the IMAGEN study. A dimensional ADHD composite score was derived from multi-informant ratings of ADHD symptomatology. Using tract-based spatial statistics, whole brain voxel-wise regressions between fractional anisotropy (FA) and ADHD composite score were calculated. Local cortical thickness was regressed on ADHD composite score. ADHD PRS was based on a very recent genome-wide association study, and calculated using PRSice. ADHD composite score was negatively associated with FA in several white matter pathways, including bilateral superior and inferior longitudinal fasciculi (p < 0.05, corrected). ADHD composite score was negatively associated with orbitofrontal cortical thickness (p < 0.05, corrected). The ADHD composite score was correlated with ADHD PRS (p < 0.001). FA correlates of ADHD symptomatology were significantly associated with ADHD PRS, whereas cortical thickness correlates of ADHD symptomatology were unrelated to ADHD PRS. Variation in hyperactive/inattentive symptomatology was associated with white matter microstructure, which, in turn, was related to ADHD PRS. Results suggest that genetic risk for ADHD symptomatology may be tied to biological processes affecting white matter microstructure.
Collapse
Grants
- L40 MH108486 NIMH NIH HHS
- MR/R00465X/1 Medical Research Council
- MRF_MRF-058-0004-RG-DESRI MRF
- This work received support from the following sources: the European Union-funded FP6 Integrated Project IMAGEN (Reinforcement-related behaviour in normal brain function and psychopathology) (LSHM-CT- 2007-037286), the Horizon 2020 funded ERC Advanced Grant ‘STRATIFY’ (Brain network based stratification of reinforcement-related disorders) (695313), ERANID (Understanding the Interplay between Cultural, Biological and Subjective Factors in Drug Use Pathways) (PR-ST-0416-10004), BRIDGET (JPND: BRain Imaging, cognition Dementia and next generation GEnomics) (MR/N027558/1), the FP7 projects IMAGEMEND(602450; IMAging GEnetics for MENtal Disorders) and MATRICS (603016), the Innovative Medicine Initiative Project EU-AIMS (115300-2), the Medical Research Council Grant ‘c-VEDA’ (Consortium on Vulnerability to Externalizing Disorders and Addictions) (MR/N000390/1), the Swedish Research Council FORMAS, the Medical Research Council, the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, the Bundesministeriumfür Bildung und Forschung (BMBF grants 01GS08152; 01EV0711; eMED SysAlc01ZX1311A; Forschungsnetz AERIAL 01EE1406A, 01EE1406B), the Deutsche Forschungsgemeinschaft (DFG grants SM 80/7-2, SFB 940/2), the Medical Research Foundation and Medical research council (grant MR/R00465X/1). Further support was provided by grants from: ANR (project AF12-NEUR0008-01 - WM2NA, and ANR-12-SAMA-0004), the Fondation de France, the Fondation pour la Recherche Médicale, the Mission Interministérielle de Lutte-contre-les-Drogues-et-les-Conduites-Addictives (MILDECA), the Assistance-Publique-Hôpitaux-de-Paris and INSERM (interface grant), Paris Sud University IDEX 2012; the National Institutes of Health, Science Foundation Ireland (16/ERCD/3797), U.S.A. (Axon, Testosterone and Mental Health during Adolescence; RO1 MH085772-01A1), and by NIH Consortium grant U54 EB020403, supported by a cross-NIH alliance that funds Big Data to Knowledge Centres of Excellence.
- Drs. Garavan and Potter are supported P20GM103644 (PI: Stephen T. Higgins), Agency: NIGMS Vermont Center on Behavior and Health.
Collapse
Affiliation(s)
- Matthew D Albaugh
- Department of Psychiatry, Vermont Center for Children, Youth, and Families, University of Vermont College of Medicine, Burlington, VT, USA.
| | - James J Hudziak
- Department of Psychiatry, Vermont Center for Children, Youth, and Families, University of Vermont College of Medicine, Burlington, VT, USA
| | - Alex Ing
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Bader Chaarani
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
| | - Edward Barker
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Tianye Jia
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Herve Lemaitre
- Institut National de la Santé et de la Recherche Médicale, UMR 992 INSERM, CEA, Faculté de médecine, Université Paris-Sud, Université Paris-Saclay, NeuroSpin, F-91191, Gif-sur-Yvette, France
| | - Richard Watts
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
| | - Catherine Orr
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
| | - Philip A Spechler
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
| | - Claude Lepage
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Vladimir Fonov
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Louis Collins
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Pierre Rioux
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Alan C Evans
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistrasse 52, 20246, Hamburg, Germany
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistrasse 52, 20246, Hamburg, Germany
| | - Erin Burke Quinlan
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sylvane Desrivières
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Abbestrasse 2 - 12, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes - Sorbonne Paris Cité; and Maison de Solenn, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | | | - Tomáš Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, M6A 2E1, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
| | - Alexandra Potter
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
| |
Collapse
|
38
|
Oey NE, Samuel GS, Lim JKW, VanDongen AM, Ng YS, Zhou J. Whole Brain White Matter Microstructure and Upper Limb Function: Longitudinal Changes in Fractional Anisotropy and Axial Diffusivity in Post-Stroke Patients. J Cent Nerv Syst Dis 2019; 11:1179573519863428. [PMID: 31391787 PMCID: PMC6668170 DOI: 10.1177/1179573519863428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Accepted: 06/23/2019] [Indexed: 12/15/2022] Open
Abstract
Background Diffusion tensor imaging (DTI) magnetic resonance imaging (MRI) measuring fractional anisotropy (FA) and axial diffusivity (AD) may be a useful biomarker for monitoring changes in white matter after stroke, but its associations with upper-limb motor recovery have not been well studied. We aim to describe changes in the whole-brain FA and AD in five post-stroke patients in relation to kinematic measures of elbow flexion to better understand the relationship between FA and AD changes and clinico-kinematic measures of upper limb motor recovery. Methods We performed DTI MRI at two timepoints during the acute phase of stroke, measuring FA and AD across 48 different white matter tract regions in the brains of five hemiparetic patients with infarcts in the cortex, pons, basal ganglia, thalamus, and corona radiata. We tracked the progress of these patients using clinical Fugl-Meyer Assessments and kinematic measures of elbow flexion at the acute phase within 14 (mean: 9.4 ± 2.49) days of stroke symptom onset and at a follow-up appointment 2 weeks later (mean: 16 ± 1.54) days. Results Changes in FA and AD in 48 brain regions occurring during stroke rehabilitation are described in relation to motor recovery. In this case series, one patient with a hemipontine infarct showed an increase in FA of the ipsilateral and contralateral corticospinal tract, whereas other patients with lesions involving the corona radiata and middle cerebral artery showed widespread decreases in perilesional FA. On the whole, FA and AD seemed to behave inversely to each other. Conclusions This case series describes longitudinal changes in perilesional and remote FA and AD in relation to kinematic parameters of elbow flexion at the subacute post-stroke period. Although studies with larger sample sizes are needed, our findings indicate that longitudinally measured changes in DTI-based measurements of white matter microstructural integrity may aid in the prognostication of patients affected by motor stroke.
Collapse
Affiliation(s)
- Nicodemus Edrick Oey
- Singapore Health Services, Singapore.,Programme in Neuroscience and Behavioural Disorders, Center for Cognitive Neuroscience, Duke-NUS Medical School, Singapore
| | | | - Joseph Kai Wei Lim
- Programme in Neuroscience and Behavioural Disorders, Center for Cognitive Neuroscience, Duke-NUS Medical School, Singapore
| | - Antonius Mj VanDongen
- Programme in Neuroscience and Behavioural Disorders, Center for Cognitive Neuroscience, Duke-NUS Medical School, Singapore
| | - Yee Sien Ng
- Department of Rehabilitation Medicine, Singapore General Hospital, Singapore
| | - Juan Zhou
- Programme in Neuroscience and Behavioural Disorders, Center for Cognitive Neuroscience, Duke-NUS Medical School, Singapore.,Clinical Imaging Research Center, Agency for Science, Technology and Research (ASTAR), Singapore
| |
Collapse
|
39
|
Michelini G, Jurgiel J, Bakolis I, Cheung CHM, Asherson P, Loo SK, Kuntsi J, Mohammad-Rezazadeh I. Atypical functional connectivity in adolescents and adults with persistent and remitted ADHD during a cognitive control task. Transl Psychiatry 2019; 9:137. [PMID: 30979865 PMCID: PMC6461684 DOI: 10.1038/s41398-019-0469-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 01/10/2019] [Accepted: 03/23/2019] [Indexed: 12/12/2022] Open
Abstract
We previously provided initial evidence for cognitive and event-related potential markers of persistence/remission of attention-deficit/hyperactivity disorder (ADHD) from childhood to adolescence and adulthood. Here, using a novel brain-network connectivity approach, we aimed to examine whether task-based functional connectivity reflects a marker of ADHD remission or an enduring deficit unrelated to ADHD outcome. High-density EEG was recorded in a follow-up of 110 adolescents and young adults with childhood ADHD (87 persisters, 23 remitters) and 169 typically developing individuals during an arrow-flanker task, eliciting cognitive control. Functional connectivity was quantified with network-based graph-theory metrics before incongruent (high-conflict) target onset (pre-stimulus), during target processing (post-stimulus) and in the degree of change between pre-stimulus/post-stimulus. ADHD outcome was examined with parent-reported symptoms and impairment using both a categorical (DSM-IV) and a dimensional approach. Graph-theory measures converged in indicating that, compared to controls, ADHD persisters showed increased connectivity in pre-stimulus theta, alpha, and beta and in post-stimulus beta (all p < .01) and reduced pre-stimulus/post-stimulus change in theta connectivity (p < .01). In the majority of indices showing ADHD persister-control differences, ADHD remitters differed from controls (all p < .05) but not from persisters. Similarly, connectivity measures were unrelated to continuous outcome measures of ADHD symptoms and impairment in participants with childhood ADHD. These findings indicate that adolescents and young adults with persistent and remitted ADHD share atypical over-connectivity profiles and reduced ability to modulate connectivity patterns with task demands, compared to controls. Task-based functional connectivity impairments may represent enduring deficits in individuals with childhood ADHD irrespective of diagnostic status in adolescence/young adulthood.
Collapse
Affiliation(s)
- Giorgia Michelini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Department of Psychiatry and Behavioral Health, State University New York (SUNY) Stony Brook University, Stony Brook, NY, USA.
| | - Joseph Jurgiel
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, USA
| | - Ioannis Bakolis
- Department of Biostatistics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Celeste H M Cheung
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Philip Asherson
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sandra K Loo
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, USA
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Iman Mohammad-Rezazadeh
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, USA
- HRL Laboratories, Malibu, CA, USA
| |
Collapse
|
40
|
Hilger K, Fiebach CJ. ADHD symptoms are associated with the modular structure of intrinsic brain networks in a representative sample of healthy adults. Netw Neurosci 2019; 3:567-588. [PMID: 31089485 PMCID: PMC6497005 DOI: 10.1162/netn_a_00083] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 03/06/2019] [Indexed: 12/13/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders with significant and often lifelong effects on social, emotional, and cognitive functioning. Influential neurocognitive models of ADHD link behavioral symptoms to altered connections between and within functional brain networks. Here, we investigate whether network-based theories of ADHD can be generalized to understanding variations in ADHD-related behaviors within the normal (i.e., clinically unaffected) adult population. In a large and representative sample, self-rated presence of ADHD symptoms varied widely; only 8 out of 291 participants scored in the clinical range. Subject-specific brain network graphs were modeled from functional MRI resting-state data and revealed significant associations between (nonclinical) ADHD symptoms and region-specific profiles of between-module and within-module connectivity. Effects were located in brain regions associated with multiple neuronal systems including the default-mode network, the salience network, and the central executive system. Our results are consistent with network perspectives of ADHD and provide further evidence for the relevance of an appropriate information transfer between task-negative (default-mode) and task-positive brain regions. More generally, our findings support a dimensional conceptualization of ADHD and contribute to a growing understanding of cognition as an emerging property of functional brain networks.
Collapse
Affiliation(s)
- Kirsten Hilger
- Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
- IDeA Center for Individual Development and Adaptive Education, Frankfurt am Main, Germany
| | - Christian J. Fiebach
- Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
- IDeA Center for Individual Development and Adaptive Education, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University Frankfurt, Frankfurt am Main, Germany
| |
Collapse
|
41
|
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.
Collapse
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
| |
Collapse
|
42
|
Brandes-Aitken A, Anguera JA, Chang YS, Demopoulos C, Owen JP, Gazzaley A, Mukherjee P, Marco EJ. White Matter Microstructure Associations of Cognitive and Visuomotor Control in Children: A Sensory Processing Perspective. Front Integr Neurosci 2019; 12:65. [PMID: 30692921 PMCID: PMC6339953 DOI: 10.3389/fnint.2018.00065] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 12/11/2018] [Indexed: 01/08/2023] Open
Abstract
Objective: Recent evidence suggests that co-occurring deficits in cognitive control and visuomotor control are common to many neurodevelopmental disorders. Specifically, children with sensory processing dysfunction (SPD), a condition characterized by sensory hyper/hypo-sensitivity, show varying degrees of overlapping attention and visuomotor challenges. In this study, we assess associations between cognitive and visuomotor control abilities among children with and without SPD. In this same context, we also examined the common and unique diffusion tensor imaging (DTI) tracts that may support the overlap of cognitive control and visuomotor control. Method: We collected cognitive control and visuomotor control behavioral measures as well as DTI data in 37 children with SPD and 25 typically developing controls (TDCs). We constructed regressions to assess for associations between behavioral performance and mean fractional anisotropy (FA) in selected regions of interest (ROIs). Results: We observed an association between behavioral performance on cognitive control and visuomotor control. Further, our findings indicated that FA in the anterior limb of the internal capsule (ALIC), the anterior thalamic radiation (ATR), and the superior longitudinal fasciculus (SLF) are associated with both cognitive control and visuomotor control, while FA in the superior corona radiata (SCR) uniquely correlate with cognitive control performance and FA in the posterior limb of the internal capsule (PLIC) and the cerebral peduncle (CP) tract uniquely correlate with visuomotor control performance. Conclusions: These findings suggest that children who demonstrate lower cognitive control are also more likely to demonstrate lower visuomotor control, and vice-versa, regardless of clinical cohort assignment. The overlapping neural tracts, which correlate with both cognitive and visuomotor control suggest a possible common neural mechanism supporting both control-based processes.
Collapse
Affiliation(s)
- Annie Brandes-Aitken
- Neuroscape Center, Departments of Neurology, Pediatrics, Physiology, Radiology, and Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Joaquin A Anguera
- Neuroscape Center, Departments of Neurology, Pediatrics, Physiology, Radiology, and Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Yi-Shin Chang
- Neuroscape Center, Departments of Neurology, Pediatrics, Physiology, Radiology, and Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Carly Demopoulos
- Neuroscape Center, Departments of Neurology, Pediatrics, Physiology, Radiology, and Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Julia P Owen
- Neuroscape Center, Departments of Neurology, Pediatrics, Physiology, Radiology, and Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Adam Gazzaley
- Neuroscape Center, Departments of Neurology, Pediatrics, Physiology, Radiology, and Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Pratik Mukherjee
- Neuroscape Center, Departments of Neurology, Pediatrics, Physiology, Radiology, and Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Elysa J Marco
- Neuroscape Center, Departments of Neurology, Pediatrics, Physiology, Radiology, and Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| |
Collapse
|
43
|
Wang J, Khosrowabadi R, Ng KK, Hong Z, Chong JSX, Wang Y, Chen CY, Hilal S, Venketasubramanian N, Wong TY, Chen CLH, Ikram MK, Zhou J. Alterations in Brain Network Topology and Structural-Functional Connectome Coupling Relate to Cognitive Impairment. Front Aging Neurosci 2018; 10:404. [PMID: 30618711 PMCID: PMC6300727 DOI: 10.3389/fnagi.2018.00404] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 11/23/2018] [Indexed: 12/13/2022] Open
Abstract
According to the network-based neurodegeneration hypothesis, neurodegenerative diseases target specific large-scale neural networks, such as the default mode network, and may propagate along the structural and functional connections within and between these brain networks. Cognitive impairment no dementia (CIND) represents an early prodromal stage but few studies have examined brain topological changes within and between brain structural and functional networks. To this end, we studied the structural networks [diffusion magnetic resonance imaging (MRI)] and functional networks (task-free functional MRI) in CIND (61 mild, 56 moderate) and healthy older adults (97 controls). Structurally, compared with controls, moderate CIND had lower global efficiency, and lower nodal centrality and nodal efficiency in the thalamus, somatomotor network, and higher-order cognitive networks. Mild CIND only had higher nodal degree centrality in dorsal parietal regions. Functional differences were more subtle, with both CIND groups showing lower nodal centrality and efficiency in temporal and somatomotor regions. Importantly, CIND generally had higher structural-functional connectome correlation than controls. The higher structural-functional topological similarity was undesirable as higher correlation was associated with poorer verbal memory, executive function, and visuoconstruction. Our findings highlighted the distinct and progressive changes in brain structural-functional networks at the prodromal stage of neurodegenerative diseases.
Collapse
Affiliation(s)
- Juan Wang
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Reza Khosrowabadi
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.,Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
| | - Kwun Kei Ng
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Zhaoping Hong
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Joanna Su Xian Chong
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Yijun Wang
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Chun-Yin Chen
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
| | | | - Tien Yin Wong
- Memory Aging & Cognition Centre, National University Health System, Singapore, Singapore.,Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore
| | | | - Mohammad Kamran Ikram
- Department of Pharmacology, National University of Singapore, Singapore, Singapore.,Memory Aging & Cognition Centre, National University Health System, Singapore, Singapore.,Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.,Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
| | - Juan Zhou
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.,Clinical Imaging Research Centre, The Agency for Science, Technology and Research-National University of Singapore, Singapore, Singapore
| |
Collapse
|
44
|
Updated European Consensus Statement on diagnosis and treatment of adult ADHD. Eur Psychiatry 2018; 56:14-34. [DOI: 10.1016/j.eurpsy.2018.11.001] [Citation(s) in RCA: 201] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 11/02/2018] [Accepted: 11/03/2018] [Indexed: 12/17/2022] Open
Abstract
AbstractBackground Attention-deficit/hyperactivity disorder (ADHD) is among the most common psychiatric disorders of childhood that often persists into adulthood and old age. Yet ADHD is currently underdiagnosed and undertreated in many European countries, leading to chronicity of symptoms and impairment, due to lack of, or ineffective treatment, and higher costs of illness.Methods The European Network Adult ADHD and the Section for Neurodevelopmental Disorders Across the Lifespan (NDAL) of the European Psychiatric Association (EPA), aim to increase awareness and knowledge of adult ADHD in and outside Europe. This Updated European Consensus Statement aims to support clinicians with research evidence and clinical experience from 63 experts of European and other countries in which ADHD in adults is recognized and treated.Results Besides reviewing the latest research on prevalence, persistence, genetics and neurobiology of ADHD, three major questions are addressed: (1) What is the clinical picture of ADHD in adults? (2) How should ADHD be properly diagnosed in adults? (3) How should adult ADHDbe effectively treated?Conclusions ADHD often presents as a lifelong impairing condition. The stigma surrounding ADHD, mainly due to lack of knowledge, increases the suffering of patients. Education on the lifespan perspective, diagnostic assessment, and treatment of ADHD must increase for students of general and mental health, and for psychiatry professionals. Instruments for screening and diagnosis of ADHD in adults are available, as are effective evidence-based treatments for ADHD and its negative outcomes. More research is needed on gender differences, and in older adults with ADHD.
Collapse
|
45
|
Luo Y, Schulz KP, Alvarez TL, Halperin JM, Li X. Distinct topological properties of cue-evoked attention processing network in persisters and remitters of childhood ADHD. Cortex 2018; 109:234-244. [PMID: 30391878 DOI: 10.1016/j.cortex.2018.09.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 08/27/2018] [Accepted: 09/25/2018] [Indexed: 12/13/2022]
Abstract
Attention deficit/hyperactivity disorder (ADHD) is a highly prevalent and impairing neurodevelopmental disorder that persists into adulthood in a sizeable portion of afflicted children. The persistence of ADHD elevates the risk for adverse outcomes that result in substantial individual and societal burden. The objective of this study is to assess neurobiological substrates associated with variability of clinical outcomes in childhood ADHD, which has considerable value for the development of novel interventions that target mechanisms associated with recovery. A total of 36 young adults who were diagnosed with ADHD combined-type during childhood and 33 group-matched controls were involved in the study. Adults with childhood ADHD were further divided into 17 persisters and 19 remitters based on DSM-5 criteria. Functional magnetic resonance imaging data during a cue-evoked attention task were collected from each subject. The cue-evoked attention processing network was constructed using graph theoretic techniques. Network properties, including global-, local-, and nodal-efficiency, and network hubs were computed. Group comparisons of the network properties were conducted. Significantly lower nodal efficiency in right inferior frontal gyrus and reduced left side frontal-parietal functional interactions were observed in both remitters and persisters relative to the controls. The ADHD persisters showed a unique pattern of significantly lower nodal efficiency in right middle frontal gyrus (MFG) and hyper-interactions between bilateral MFG. This study suggests that right MFG functional impairments may relate to inactive fronto-parietal functional interactions for sensory and cognitive information processing and symptom persistence in young adults with childhood ADHD.
Collapse
Affiliation(s)
- Yuyang Luo
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA
| | - Kurt P Schulz
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, USA
| | - Tara L Alvarez
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA
| | - Jeffrey M Halperin
- Department of Psychology, Queens College, City University of New York, NY, USA
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA; Department of Electric/Computer Engineering, New Jersey Institute of Technology, NJ, USA.
| |
Collapse
|
46
|
Franke B, Michelini G, Asherson P, Banaschewski T, Bilbow A, Buitelaar JK, Cormand B, Faraone SV, Ginsberg Y, Haavik J, Kuntsi J, Larsson H, Lesch KP, Ramos-Quiroga JA, Réthelyi JM, Ribases M, Reif A. Live fast, die young? A review on the developmental trajectories of ADHD across the lifespan. Eur Neuropsychopharmacol 2018; 28:1059-1088. [PMID: 30195575 PMCID: PMC6379245 DOI: 10.1016/j.euroneuro.2018.08.001] [Citation(s) in RCA: 314] [Impact Index Per Article: 52.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Revised: 06/25/2018] [Accepted: 08/07/2018] [Indexed: 02/07/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is highly heritable and the most common neurodevelopmental disorder in childhood. In recent decades, it has been appreciated that in a substantial number of cases the disorder does not remit in puberty, but persists into adulthood. Both in childhood and adulthood, ADHD is characterised by substantial comorbidity including substance use, depression, anxiety, and accidents. However, course and symptoms of the disorder and the comorbidities may fluctuate and change over time, and even age of onset in childhood has recently been questioned. Available evidence to date is poor and largely inconsistent with regard to the predictors of persistence versus remittance. Likewise, the development of comorbid disorders cannot be foreseen early on, hampering preventive measures. These facts call for a lifespan perspective on ADHD from childhood to old age. In this selective review, we summarise current knowledge of the long-term course of ADHD, with an emphasis on clinical symptom and cognitive trajectories, treatment effects over the lifespan, and the development of comorbidities. Also, we summarise current knowledge and important unresolved issues on biological factors underlying different ADHD trajectories. We conclude that a severe lack of knowledge on lifespan aspects in ADHD still exists for nearly every aspect reviewed. We encourage large-scale research efforts to overcome those knowledge gaps through appropriately granular longitudinal studies.
Collapse
Affiliation(s)
- Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - Giorgia Michelini
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic & Developmental Psychiatry Centre, London, UK
| | - Philip Asherson
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic & Developmental Psychiatry Centre, London, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Andrea Bilbow
- Attention Deficit Disorder Information and Support Service (ADDISS), Edgware, UK; ADHD-Europe, Brussels, Belgium
| | - Jan K Buitelaar
- Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Nijmegen, The Netherlands
| | - Bru Cormand
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Catalonia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, State University of New York Upstate Medical University, New York, USA; K.G. Jebsen Centre for Neuropsychiatric Disorders, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Ylva Ginsberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Jan Haavik
- K.G. Jebsen Centre for Neuropsychiatric Disorders, Department of Biomedicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Jonna Kuntsi
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic & Developmental Psychiatry Centre, London, UK
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany; Laboratory of Psychiatric Neurobiology, Institute of Molecular Medicine, I.M. Sechenov First Moscow State Medical University, Moscow, Russia; Department of Translational Neuroscience, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | - J Antoni Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain; Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Catalonia, Spain; Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - János M Réthelyi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary; MTA-SE NAP-B Molecular Psychiatry Research Group, Hungarian Academy of Sciences, Budapest, Hungary
| | - Marta Ribases
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain; Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Catalonia, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| |
Collapse
|
47
|
Sudre G, Mangalmurti A, Shaw P. Growing out of attention deficit hyperactivity disorder: Insights from the 'remitted' brain. Neurosci Biobehav Rev 2018; 94:198-209. [PMID: 30194962 DOI: 10.1016/j.neubiorev.2018.08.010] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 08/14/2018] [Accepted: 08/16/2018] [Indexed: 12/14/2022]
Abstract
We consider developmental and cognitive models to explain why some children 'grow out' of attention deficit hyperactivity disorder (ADHD) by adulthood. The first model views remission as a convergence towards more typical brain function and structure. In support, some studies find that adult remitters are indistinguishable from those who were never affected in the neural substrates of 'top-down' mechanisms of cognitive control, some 'bottom-up' processes of vigilance/response preparation, prefrontal cortical morphology and intrinsic functional connectivity. A second model postulates that remission is driven by the recruitment of new brain systems that compensate for ADHD symptoms. It draws support from demonstrations of atypical, but possibly beneficial, patterns of connectivity within the cognitive control network in adult remitters. The final model holds that some childhood ADHD anomalies show lifelong persistence, regardless of adult outcome, supported by shared reports of anomalies in remitters and persisters in posterior cerebral and striato-thalamic regions. The models are compatible: different processes driving remission might occur in different brain regions. These models provide a framework for future studies which might inform novel treatments to 'accelerate' remission.
Collapse
Affiliation(s)
- Gustavo Sudre
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, and The National Institute of Mental Health, NIH, United States
| | - Aman Mangalmurti
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, and The National Institute of Mental Health, NIH, United States
| | - Philip Shaw
- Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, and The National Institute of Mental Health, NIH, United States.
| |
Collapse
|
48
|
Vipin A, Loke YM, Liu S, Hilal S, Shim HY, Xu X, Tan BY, Venketasubramanian N, Chen CLH, Zhou J. Cerebrovascular disease influences functional and structural network connectivity in patients with amnestic mild cognitive impairment and Alzheimer's disease. ALZHEIMERS RESEARCH & THERAPY 2018; 10:82. [PMID: 30121086 PMCID: PMC6098837 DOI: 10.1186/s13195-018-0413-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 07/23/2018] [Indexed: 01/15/2023]
Abstract
BACKGROUND Patients with amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) show functional and structural connectivity alterations in the default mode network (DMN) while cerebrovascular disease (CeVD) shows functional and structural connectivity changes in the executive control network (ECN). Such disruptions are associated with memory and executive function impairment, respectively. Concurrent AD and CeVD pathology is associated with a higher rate of cognitive decline and differential neurodegenerative patterns. Together, such findings are likely reflective of different underlying pathology in AD with and without CeVD. However, few studies have examined the effect of CeVD on network functional connectivity (task-free functional magnetic resonance imaging (fMRI)) and structural connectivity (diffusion MRI) of the DMN and ECN in aMCI and AD using a hypothesis-driven multiple seed-based approach. METHODS We examined functional and structural connectivity network changes in 39 aMCI, 50 aMCI+CeVD, 47 AD, 47 AD+CeVD, and 65 healthy controls (HCs) and their associations with cognitive impairment in the executive/attention and memory domains. RESULTS We demonstrate divergent DMN and ECN functional connectivity changes in CeVD and non-CeVD subjects. Compared with controls, intra-DMN hippocampal functional connectivity reductions were observed in both AD and AD+CeVD, while intra-DMN parietal and medial prefrontal-parietal functional connectivity was higher in AD+CeVD and aMCI+CeVD, but lower in AD. Intra-ECN frontal functional connectivity increases and fronto-parietal functional connectivity decreases occurred in CeVD but not non-CeVD subjects. Such functional connectivity alterations were related with cognitive impairment in a dissociative manner: intra-DMN functional connectivity changes were associated with worse cognition primarily in non-CeVD groups, while intra-ECN functional connectivity changes were associated with worse cognition primarily in CeVD groups. Additionally, CeVD and non-CeVD groups showed overlapping and distinct alterations in inter-network DMN-ECN functional connectivity depending on disease severity. In contrast to functional connectivity, CeVD groups had greater network structural connectivity damage compared with non-CeVD groups in both aMCI and AD patients. Network structural connectivity damage was associated with worse cognition. CONCLUSIONS We demonstrate differential functional and structural network changes between aMCI and AD patients with and without CeVD through diverging and deleterious network-based degeneration underlying domain-specific cognitive impairment.
Collapse
Affiliation(s)
- Ashwati Vipin
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Yng Miin Loke
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Siwei Liu
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Saima Hilal
- Department of Pharmacology, Clinical Research Centre, National University Health System, National University of Singapore, Singapore, Singapore.,Memory Aging and Cognition Centre, National University Health System, Singapore, Singapore
| | - Hee Youn Shim
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Xin Xu
- Department of Pharmacology, Clinical Research Centre, National University Health System, National University of Singapore, Singapore, Singapore.,Memory Aging and Cognition Centre, National University Health System, Singapore, Singapore
| | | | | | - Christopher Li-Hsian Chen
- Department of Pharmacology, Clinical Research Centre, National University Health System, National University of Singapore, Singapore, Singapore.,Memory Aging and Cognition Centre, National University Health System, Singapore, Singapore
| | - Juan Zhou
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore. .,Clinical Imaging Research Centre, The Agency for Science, Technology and Research and National University of Singapore, Singapore, Singapore.
| |
Collapse
|
49
|
Aguilera-Albesa S, Crespo-Eguílaz N, Del Pozo JL, Villoslada P, Sánchez-Carpintero R. Anti-Basal Ganglia Antibodies and Streptococcal Infection in ADHD. J Atten Disord 2018; 22:864-871. [PMID: 25882837 DOI: 10.1177/1087054715580841] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Group A Streptococcus has been associated with ADHD, tic disorders (TD), and obsessive-compulsive disorder (OCD) through anti-basal ganglia antibodies (ABGA). METHOD We investigated the association between ABGA and streptococcal exposure with behavioral, motor, and cognitive measures in 38 children with ADHD not comorbid to OCD or TD (nc-ADHD) and in 38 healthy children. An additional group of 15 children with TD and/or OCD was examined. RESULTS ABGA titers were present in 3% of nc-ADHD patients and controls but in 27% of TD and/or OCD patients. Evidence of streptococcal exposure was similar between ADHD patients and controls living in the same urban area. Behavioral, motor, and cognitive measures were not associated with anti-streptococcal antibodies. CONCLUSION ABGA do not distinguish nc-ADHD from controls. The differences in the frequency of streptococcal exposure in previous studies are determined by the dynamic nature of the infection rather than the behavioral phenotype of ADHD.
Collapse
Affiliation(s)
| | | | | | - Pablo Villoslada
- 3 Institute of Biomedical Research August Pi Sunyer (IDIBAPS)-Hospital Clinic of Barcelona, Spain
| | | |
Collapse
|
50
|
Aoki Y, Cortese S, Castellanos FX. Research Review: Diffusion tensor imaging studies of attention-deficit/hyperactivity disorder: meta-analyses and reflections on head motion. J Child Psychol Psychiatry 2018; 59:193-202. [PMID: 28671333 DOI: 10.1111/jcpp.12778] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/30/2017] [Indexed: 12/28/2022]
Abstract
BACKGROUND Diffusion tensor imaging studies have shown atypical fractional anisotropy (FA) in individuals with attention-deficit/hyperactivity disorder (ADHD), albeit with conflicting results. We performed meta-analyses of whole-brain voxel-based analyses (WBVBA) and tract-based spatial statistics (TBSS) studies in ADHD, along with a qualitative review of TBSS studies addressing the issue of head motion, which may bias results. METHODS We conducted a systematic literature search (last search on April 1st, 2016) to identify studies comparing FA values between individuals with ADHD and typically developing (TD) participants. Signed differential mapping was used to compute effect sizes and integrate WBVBA and TBSS studies, respectively. TBSS datasets reporting no between-group motion differences were identified. RESULTS We identified 14 WBVBA (ADHDn = 314, TDn = 278) and 13 TBSS datasets (ADHDn = 557, TDn = 568). WBVBA meta-analysis showed both significantly lower and higher FA values in individuals with ADHD; TBSS meta-analysis showed significantly lower FA in ADHD compared with TD in four clusters: two in the corpus callosum (isthmus and posterior midbody), one in right inferior fronto-occipital fasciculus, and one in left inferior longitudinal fasciculus. However, four of six datasets confirming no group-differences in motion showed no significant between-group FA differences. CONCLUSIONS A growing diffusion tensor imaging (DTI) literature (total N = 1,717) and a plethora of apparent findings suggest atypical interhemispheric connection in ADHD. However, FA results in ADHD should be considered with caution, since many studies did not examine potential group differences in head motion, and most of the studies reporting no difference in motion showed no significant results. Future studies should address head motion as a priority and assure that groups do not differ in head motion.
Collapse
Affiliation(s)
- Yuta Aoki
- Department of Child and Adolescent Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Samuele Cortese
- Department of Child and Adolescent Psychiatry, NYU Langone Medical Center, New York, NY, USA.,Academic Unit of Psychology and Clinical and Experimental Sciences (CNS and Psychiatry), University of Southampton, Southampton.,Solent NHS Trust, Southampton, UK
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, NYU Langone Medical Center, New York, NY, USA.,Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| |
Collapse
|