1
|
Damme KSF, Han YC, Han Z, Reber PJ, Mittal VA. Motor precision deficits in clinical high risk for psychosis. Eur Arch Psychiatry Clin Neurosci 2024; 274:1427-1435. [PMID: 37458819 PMCID: PMC10792107 DOI: 10.1007/s00406-023-01645-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 06/25/2023] [Indexed: 08/02/2023]
Abstract
Motor deficits appear prior to psychosis onset, provide insight into vulnerability as well as mechanisms that give rise to emerging illness, and are predictive of conversion. However, to date, the extant literature has often targeted a complex abnormality (e.g., gesture dysfunction, dyskinesia), or a single fundamental domain (e.g., accuracy) but rarely provided critical information about several of the individual components that make up more complex behaviors (or deficits). This preliminary study applies a novel implicit motor task to assess domains of motor accuracy, speed, recognition, and precision in individuals at clinical high risk for psychosis (CHR-p). Sixty participants (29 CHR-p; 31 healthy volunteers) completed clinical symptom interviews and a novel Serial Interception Sequence Learning (SISL) task that assessed implicit motor sequence accuracy, speed, precision, and explicit sequence recognition. These metrics were examined in multilevel models that enabled the examination of overall effects and changes in motor domains over blocks of trials and by positive/negative symptom severity. Implicit motor sequence accuracy, speed, and explicit sequence recognition were not detected as impacted in CHR-p. When compared to healthy controls, individuals at CHR-p were less precise in motor responses both overall (d = 0.91) and particularly in early blocks which normalized over later blocks. Within the CHR-p group, these effects were related to positive symptom levels (t = - 2.22, p = 0.036), such that individuals with higher symptom levels did not improve in motor precision over time (r's = 0.01-0.05, p's > 0.54). CHR-p individuals showed preliminary evidence of motor precision deficits but no other motor domain deficits, particularly in early performance that normalized with practice.
Collapse
Affiliation(s)
- Katherine S F Damme
- Department of Psychology, Northwestern University, 2029 Sheridan Rd, Evanston, IL, 60208, USA.
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston and Chicago, IL, USA.
| | - Y Catherine Han
- Department of Psychology, Northwestern University, 2029 Sheridan Rd, Evanston, IL, 60208, USA
| | - Ziyan Han
- Department of Psychology, Northwestern University, 2029 Sheridan Rd, Evanston, IL, 60208, USA
| | - Paul J Reber
- Department of Psychology, Northwestern University, 2029 Sheridan Rd, Evanston, IL, 60208, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, 2029 Sheridan Rd, Evanston, IL, 60208, USA
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston and Chicago, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
- Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
| |
Collapse
|
2
|
Clarke AT, Fineberg NA, Pellegrini L, Laws KR. The relationship between cognitive phenotypes of compulsivity and impulsivity and clinical variables in obsessive-compulsive disorder: A systematic review and Meta-analysis. Compr Psychiatry 2024; 133:152491. [PMID: 38714143 DOI: 10.1016/j.comppsych.2024.152491] [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: 09/12/2023] [Revised: 01/23/2024] [Accepted: 03/04/2024] [Indexed: 05/09/2024] Open
Abstract
BACKGROUND This systematic review and meta-analysis explored the relationship between cognitive phenotypes of compulsivity and impulsivity and clinical variables in obsessive-compulsive disorder (OCD). METHODS We searched Pubmed, Scopus, Cochrane Library and PsychINFO databases until February 2023 for studies comparing patients with OCD and healthy controls on cognitive tests of compulsivity and impulsivity. The study followed PRISMA guidelines and was pre-registered on PROSPERO (CRD42021299017). RESULTS Meta-analyses of 112 studies involving 8313 participants (4289 patients with OCD and 4024 healthy controls) identified significant impairments in compulsivity (g = -0.58, [95%CI -0.68, -0.47]; k = 76) and impulsivity (g = -0.48, [95%CI -0.57, -0.38]; k = 63); no significant difference between impairments. Medication use and comorbid psychiatric disorders were not significantly related to impairments. No associations were revealed with OCD severity, depression/anxiety, or illness duration. CONCLUSION Cognitive phenotypes of compulsivity and impulsivity in patients with OCD appear to be orthogonal to clinical variables, including severity of OCD symptomatology. Their clinical impact is poorly understood and may require different clinical assessment tools and interventions.
Collapse
Affiliation(s)
- Aaron T Clarke
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK.
| | - Naomi A Fineberg
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK; Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK; University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Luca Pellegrini
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK; Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK; Centre for Psychedelic Research, Imperial College London, London, UK
| | - Keith R Laws
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK
| |
Collapse
|
3
|
Tomasi J, Lisoway AJ, Zai CC, Zai G, Richter MA, Sanches M, Herbert D, Mohiuddin AG, Tiwari AK, Kennedy JL. Genetic and polygenic investigation of heart rate variability to identify biomarkers associated with Anxiety disorders. Psychiatry Res 2024; 338:115982. [PMID: 38850888 DOI: 10.1016/j.psychres.2024.115982] [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: 12/19/2023] [Revised: 05/11/2024] [Accepted: 05/26/2024] [Indexed: 06/10/2024]
Abstract
Given that anxiety disorders (AD) are associated with reduced vagally-mediated heart rate variability (HRV), genetic variants related to HRV may provide insight into anxiety etiology. This study used polygenic risk scores (PRS) to explore the genetic overlap between AD and HRV, and investigated whether HRV-related polymorphisms influence anxiety risk. Resting vagally-mediated HRV was measured using a wearable device in 188 European individuals (AD=101, healthy controls=87). AD PRS was tested for association with resting HRV, and HRV PRS for association with AD. We also investigated 15 significant hits from an HRV genome-wide association study (GWAS) for association with resting HRV and AD and if this association is mediated through resting HRV. The AD PRS and HRV PRS showed nominally significant associations with resting HRV and anxiety disorders, respectively. HRV GWAS variants associated with resting HRV were rs12980262 (NDUFA11), rs2680344 (HCN4), rs4262 and rs180238 (GNG11), and rs10842383 (LINC00477). Mediation analyses revealed that NDUFA11 rs12980262 A-carriers and GNG11 rs180238 and rs4262 C-carriers had higher anxiety risk through lower HRV. This study supports an anxiety-HRV genetic relationship, with HRV-related genetic variants translating to AD. This study encourages exploration of HRV genetics to understand mechanisms and identify novel treatment targets for anxiety.
Collapse
Affiliation(s)
- Julia Tomasi
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada.
| | - Amanda J Lisoway
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Clement C Zai
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Gwyneth Zai
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; General Adult Psychiatry and Health Systems Division, CAMH, Toronto, ON, Canada
| | - Margaret A Richter
- Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Frederick W. Thompson Anxiety Disorders Centre, Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Marcos Sanches
- Biostatistics Core, Centre for Addiction and Mental Health, Toronto, Canada
| | - Deanna Herbert
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Ayeshah G Mohiuddin
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Arun K Tiwari
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada.
| | - James L Kennedy
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada
| |
Collapse
|
4
|
van der Es T, Soheili-Nezhad S, Roth Mota N, Franke B, Buitelaar J, Sprooten E. Exploring the genetic architecture of brain structure and ADHD using polygenic neuroimaging-derived scores. Am J Med Genet B Neuropsychiatr Genet 2024:e32987. [PMID: 39016115 DOI: 10.1002/ajmg.b.32987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 04/24/2024] [Accepted: 05/11/2024] [Indexed: 07/18/2024]
Abstract
Genome-wide association studies (GWAS) have provided valuable insights into the genetic basis of neuropsychiatric disorders and highlighted their complexity. Careful consideration of the polygenicity and complex genetic architecture could aid in the understanding of the underlying brain mechanisms. We introduce an innovative approach to polygenic scoring, utilizing imaging-derived phenotypes (IDPs) to predict a clinical phenotype. We leveraged IDP GWAS data from the UK Biobank, to create polygenic imaging-derived scores (PIDSs). As a proof-of-concept, we assessed genetic variations in brain structure between individuals with ADHD and unaffected controls across three NeuroIMAGE waves (n = 954). Out of the 94 PIDS, 72 exhibited significant associations with their corresponding IDPs in an independent sample. Notably, several global measures, including cerebellum white matter, cerebellum cortex, and cerebral white matter, displayed substantial variance explained for their respective IDPs, ranging from 3% to 5.7%. Conversely, the associations between each IDP and the clinical ADHD phenotype were relatively weak. These findings highlight the growing power of GWAS in structural neuroimaging traits, enabling the construction of polygenic scores that accurately reflect the underlying polygenic architecture. However, to establish robust connections between PIDS and behavioral or clinical traits such as ADHD, larger samples are needed. Our novel approach to polygenic risk scoring offers a valuable tool for researchers in the field of psychiatric genetics.
Collapse
Affiliation(s)
- Tim van der Es
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Genome Institute of Singapore, A*STAR, Singapore, Singapore
| | | | - Nina Roth Mota
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Emma Sprooten
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| |
Collapse
|
5
|
Gomez R, Houghton SJ. Incremental Validity of Trait Impulsivity, Dysfunctional Emotional Regulation, and Affect Lability in the Predictions of Attention Deficit Hyperactivity Disorder and Oppositional Defiant Disorder Symptoms in Adults. Behav Sci (Basel) 2024; 14:598. [PMID: 39062421 PMCID: PMC11273999 DOI: 10.3390/bs14070598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 06/25/2024] [Accepted: 06/28/2024] [Indexed: 07/28/2024] Open
Abstract
Difficulties in emotion regulation (DER) is a defining feature of attention deficit hyperactivity disorder (ADHD), and arguments are being made for it to be considered as a defining feature of oppositional defiant disorder (ODD). However, the consensus is that it is better viewed as an important correlate distinct from ADHD. This study examined the incremental validity of DER over and above trait impulsivity (TI) in the predictions of ADHD and ODD symptoms. It also examined the incremental validity of affect lability (AL) over and above TI and (DER) in these predictions. Five hundred and twenty-five adults from the general community completed a series of questionnaires. A model-based SEM approach for evaluating incremental validity indicated that TI predicted ADHD and ODD symptoms over age; DER predicted ADHD and ODD symptoms over age and TI; and AL did not predict ADHD and ODD symptoms over and above age, IT, or DER. In addition, AL predicted ADHD and ODD symptoms over age and TI, and DER also predicted ADHD and ODD symptoms over and above age, TI, and AL. In conclusion, TI is core to ADHD, and although DER is important, it is unlikely to be relevant as a diagnostic indicator for ADHD or ODD. These findings notwithstanding, there is need for caution when interpreting our findings, as the study did not control for potentially influencing factors on emotional regulation such as age, gender, culture, and existing psychopathologies.
Collapse
Affiliation(s)
- Rapson Gomez
- School of Health and Biomedical Sciences, Federation University, Melbourne, VIC 3000, Australia;
| | - Stephen J Houghton
- Graduate School of Education, University of Western Australia, Perth, WA 6009, Australia
| |
Collapse
|
6
|
Pua EPK, Desai T, Green C, Trevis K, Brown N, Delatycki M, Scheffer I, Wilson S. Endophenotyping social cognition in the broader autism phenotype. Autism Res 2024; 17:1365-1380. [PMID: 38037242 DOI: 10.1002/aur.3057] [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: 10/30/2023] [Indexed: 12/02/2023]
Abstract
Relatives of individuals with autism spectrum disorder (ASD) may display milder social traits of the broader autism phenotype (BAP) providing potential endophenotypic markers of genetic risk for ASD. We performed a case-control comparison to quantify social cognition and pragmatic language difficulties in the BAP (n = 25 cases; n = 33 controls) using the Faux Pas test (FPT) and the Goldman-Eisler Cartoon task. Using deep phenotyping we then examined patterns of inheritance of social cognition in two large multiplex families and the spectrum of performance in 32 additional families (159 members; n = 51 ASD, n = 87 BAP, n = 21 unaffected). BAP individuals showed significantly poorer FPT performance and reduced verbal fluency with the absence of a compression effect in social discourse compared to controls. In multiplex families, we observed reduced FPT performance in 89% of autistic family members, 63% of BAP relatives and 50% of unaffected relatives. Across all affected families, there was a graded spectrum of difficulties, with ASD individuals showing the most severe FPT difficulties, followed by the BAP and unaffected relatives compared to community controls. We conclude that relatives of probands show an inherited pattern of graded difficulties in social cognition with atypical faux pas detection in social discourse providing a novel candidate endophenotype for ASD.
Collapse
Affiliation(s)
- Emmanuel Peng Kiat Pua
- Department of Medicine and Radiology, Austin Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Tarishi Desai
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Cherie Green
- Department of Psychology, Counselling & Therapy, School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Krysta Trevis
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Natasha Brown
- Victorian Clinical Genetics Service, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Martin Delatycki
- Victorian Clinical Genetics Service, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Ingrid Scheffer
- Department of Medicine and Radiology, Austin Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Sarah Wilson
- Department of Medicine and Radiology, Austin Health, The University of Melbourne, Melbourne, Victoria, Australia
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| |
Collapse
|
7
|
Beauchaine TP. Developmental psychopathology as a meta-paradigm: From zero-sum science to epistemological pluralism in theory and research. Dev Psychopathol 2024:1-13. [PMID: 38389490 DOI: 10.1017/s0954579424000208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
In a thoughtful commentary in this journal a decade ago, Michael Rutter reviewed 25 years of progress in the field before concluding that developmental psychopathology (DP) initiated a paradigm shift in clinical science. This deduction requires that DP itself be a paradigm. According to Thomas Kuhn, canonical paradigms in the physical sciences serve unifying functions by consolidating scientists' thinking and scholarship around single, closed sets of discipline-defining epistemological assumptions and methods. Paradigm shifts replace these assumptions and methods with a new field-defining framework. In contrast, the social sciences are multiparadigmatic, with thinking and scholarship unified locally around open sets of epistemological assumptions and methods with varying degrees of inter-, intra-, and subdisciplinary reach. DP challenges few if any of these local paradigms. Instead, DP serves an essential pluralizing function, and is therefore better construed as a metaparadigm. Seen in this way, DP holds tremendous untapped potential to move the field from zero-sum thinking and scholarship to positive-sum science and epistemological pluralism. This integrative vision, which furthers Dante Cicchetti's legacy of interdisciplinarity, requires broad commitment among scientists to reject zero-sum scholarship in which portending theories, useful principles, and effective interventions are jettisoned based on confirmation bias, errors in logic, and ideology.
Collapse
|
8
|
Ortega LA, Aragon-Carvajal DM, Cortes-Corso KT, Forero-Castillo F. Early developmental risks for tobacco addiction: A probabilistic epigenesis framework. Neurosci Biobehav Rev 2024; 156:105499. [PMID: 38056543 DOI: 10.1016/j.neubiorev.2023.105499] [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: 07/03/2023] [Revised: 11/23/2023] [Accepted: 12/01/2023] [Indexed: 12/08/2023]
Abstract
Considerable progress has been made in elucidating the relationships between early life psychobiological and environmental risk factors and the development of tobacco addiction. However, a comprehensive understanding of the heterogeneity in tobacco addiction phenotypes requires integrating research findings. The probabilistic epigenesis meta-theory offers a valuable framework for this integration, considering systemic, multilevel, developmental, and evolutionary perspectives. In this paper, we critically review relevant research on early developmental risks associated with tobacco addiction and highlight the integrative heuristic value of the probabilistic epigenesis framework for this research. For this, we propose a four-level systems approach as an initial step towards integration, analyzing complex interactions among different levels of influence. Additionally, we explore a coaction approach to examine key interactions between early risk factors. Moreover, we introduce developmental pathways to understand interindividual differences in tobacco addiction risk during development. This integrative approach holds promise for advancing our understanding of tobacco addiction etiology and informing potentially effective intervention strategies.
Collapse
Affiliation(s)
- Leonardo A Ortega
- Facultad de Psicologia, Fundacion Universitaria Konrad Lorenz, Colombia.
| | | | | | | |
Collapse
|
9
|
Mosconi MW, Stevens CJ, Unruh KE, Shafer R, Elison JT. Endophenotype trait domains for advancing gene discovery in autism spectrum disorder. J Neurodev Disord 2023; 15:41. [PMID: 37993779 PMCID: PMC10664534 DOI: 10.1186/s11689-023-09511-y] [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: 05/17/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023] Open
Abstract
Autism spectrum disorder (ASD) is associated with a diverse range of etiological processes, including both genetic and non-genetic causes. For a plurality of individuals with ASD, it is likely that the primary causes involve multiple common inherited variants that individually account for only small levels of variation in phenotypic outcomes. This genetic landscape creates a major challenge for detecting small but important pathogenic effects associated with ASD. To address similar challenges, separate fields of medicine have identified endophenotypes, or discrete, quantitative traits that reflect genetic likelihood for a particular clinical condition and leveraged the study of these traits to map polygenic mechanisms and advance more personalized therapeutic strategies for complex diseases. Endophenotypes represent a distinct class of biomarkers useful for understanding genetic contributions to psychiatric and developmental disorders because they are embedded within the causal chain between genotype and clinical phenotype, and they are more proximal to the action of the gene(s) than behavioral traits. Despite their demonstrated power for guiding new understanding of complex genetic structures of clinical conditions, few endophenotypes associated with ASD have been identified and integrated into family genetic studies. In this review, we argue that advancing knowledge of the complex pathogenic processes that contribute to ASD can be accelerated by refocusing attention toward identifying endophenotypic traits reflective of inherited mechanisms. This pivot requires renewed emphasis on study designs with measurement of familial co-variation including infant sibling studies, family trio and quad designs, and analysis of monozygotic and dizygotic twin concordance for select trait dimensions. We also emphasize that clarification of endophenotypic traits necessarily will involve integration of transdiagnostic approaches as candidate traits likely reflect liability for multiple clinical conditions and often are agnostic to diagnostic boundaries. Multiple candidate endophenotypes associated with ASD likelihood are described, and we propose a new focus on the analysis of "endophenotype trait domains" (ETDs), or traits measured across multiple levels (e.g., molecular, cellular, neural system, neuropsychological) along the causal pathway from genes to behavior. To inform our central argument for research efforts toward ETD discovery, we first provide a brief review of the concept of endophenotypes and their application to psychiatry. Next, we highlight key criteria for determining the value of candidate endophenotypes, including unique considerations for the study of ASD. Descriptions of different study designs for assessing endophenotypes in ASD research then are offered, including analysis of how select patterns of results may help prioritize candidate traits in future research. We also present multiple candidate ETDs that collectively cover a breadth of clinical phenomena associated with ASD, including social, language/communication, cognitive control, and sensorimotor processes. These ETDs are described because they represent promising targets for gene discovery related to clinical autistic traits, and they serve as models for analysis of separate candidate domains that may inform understanding of inherited etiological processes associated with ASD as well as overlapping neurodevelopmental disorders.
Collapse
Affiliation(s)
- Matthew W Mosconi
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, USA.
- Clinical Child Psychology Program, University of Kansas, Lawrence, KS, USA.
| | - Cassandra J Stevens
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, USA
- Clinical Child Psychology Program, University of Kansas, Lawrence, KS, USA
| | - Kathryn E Unruh
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, USA
| | - Robin Shafer
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| |
Collapse
|
10
|
Saatchi B, Olshansky EF, Fortier MA. Irritability: A concept analysis. Int J Ment Health Nurs 2023; 32:1193-1210. [PMID: 36929104 DOI: 10.1111/inm.13140] [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: 08/05/2022] [Revised: 02/15/2023] [Accepted: 02/28/2023] [Indexed: 03/18/2023]
Abstract
Irritability is a term used to describe feelings of anger, annoyance and impatience, and is commonly experienced by individuals in daily life. However, there are diverse conceptualizations of irritability in public and clinical research, which often result in confusing irritability with anger and other overlapping concepts. This, in turn, leads to a lack of conceptual clarity. Accordingly, the purpose of this concept analysis was to explore the irritability concept, including its definitions, defining characteristics, antecedents, consequences and empirical referents. The findings showed that irritability is predominantly conceptualized as a psychophysiological concept in the literature. We demonstrated that irritability can be differentiated from overlapping concepts like anger by qualities, such as 'unpredictability and lowered emotion control', 'lowered threshold for negative emotional stimuli', 'being manifested in response to frustrative situations or physiological needs' and 'experience of disproportionate and unjustified emotional irritation'. Importantly, severe irritability prospectively predicts psychiatric disorders and greater impairments in health, financial, educational and social functioning in individuals. Taken together, our analysis showed that one should take into account the context, duration, intensity and importantly outcomes, when assessing irritability in an individual. Considering these findings and the presence of irritability in nursing practice, it is crucial for nurses to recognize and successfully identify this concept in the nursing care they provide within the diverse settings and patient populations.
Collapse
Affiliation(s)
- Babak Saatchi
- Sue & Bill Gross School of Nursing, University of California, Irvine, USA
| | - Ellen F Olshansky
- Sue & Bill Gross School of Nursing, University of California, Irvine, USA
| | - Michelle A Fortier
- Sue & Bill Gross School of Nursing, University of California, Irvine, USA
- Center on Stress & Health, University of California Irvine, Orange, California, USA
| |
Collapse
|
11
|
A family-based study of genetic and epigenetic effects across multiple neurocognitive, motor, social-cognitive and social-behavioral functions. Behav Brain Funct 2022; 18:14. [PMID: 36457050 PMCID: PMC9714039 DOI: 10.1186/s12993-022-00198-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 09/09/2022] [Indexed: 12/03/2022] Open
Abstract
Many psychiatric and neurodevelopmental disorders are known to be heritable, but studies trying to elucidate the genetic architecture of such traits often lag behind studies of somatic traits and diseases. The reasons as to why relatively few genome-wide significant associations have been reported for such traits have to do with the sample sizes needed for the detection of small effects, the difficulty in defining and characterizing the phenotypes, partially due to overlaps in affected underlying domains (which is especially true for cognitive phenotypes), and the complex genetic architectures of the phenotypes, which are not wholly captured in traditional case-control GWAS designs. We aimed to tackle the last two issues by performing GWASs of eight quantitative neurocognitive, motor, social-cognitive and social-behavioral traits, which may be considered endophenotypes for a variety of psychiatric and neurodevelopmental conditions, and for which we employed models capturing both general genetic association and parent-of-origin effects, in a family-based sample comprising 402 children and their parents (mostly family trios). We identified 48 genome-wide significant associations across several traits, of which 3 also survived our strict study-wide quality criteria. We additionally performed a functional annotation of implicated genes, as most of the 48 associations were with variants within protein-coding genes. In total, our study highlighted associations with five genes (TGM3, CACNB4, ANKS1B, CSMD1 and SYNE1) associated with measures of working memory, processing speed and social behavior. Our results thus identify novel associations, including previously unreported parent-of-origin associations with relevant genes, and our top results illustrate new potential gene → endophenotype → disorder pathways.
Collapse
|
12
|
Miot S, Chancel R, Peries M, Crepiat S, Couderc S, Pernon E, Picot MC, Gonnier V, Jeandel C, Blain H, Baghdadli A. Multimorbidity patterns and subgroups among autistic adults with intellectual disability: Results from the EFAAR study. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2022; 27:762-777. [PMID: 36056616 DOI: 10.1177/13623613221121623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
LAY ABSTRACT Multimorbidity relates to having multiple chronic health conditions. It is a risk factor for poor health and reduces life expectancy. Autistic people have multiple chronic health conditions and die prematurely, especially if they have an intellectual disability (autism spectrum disorder and intellectual disability). Certain pathophysiological processes observed in autism spectrum disorder are common to those related to the genesis and/or maintenance of multimorbidity. Furthermore, multimorbidity could be helpful in better identifying patient subgroups in autism spectrum disorder. It is therefore essential to better characterize multimorbidity and its consequences in the subgroup of autism spectrum disorder + intellectual disability individuals to offer them personalized care. We conducted a preliminary study of 63 autism spectrum disorder + intellectual disability adults to classify them according to their multimorbidity and search for a specific combination of chronic health conditions. We observed high and early multimorbidity in this sample and identified four classes of participants, distinguished by their multimorbidity status, independence and number of treatments. In addition, we observed a dominant combination of multimorbidity in our sample, combining immune dysfunction and gastrointestinal disorders, neurological and joint diseases. These findings support the hypothesis that an altered gut-brain relationship is involved in the risk of autism spectrum disorder, its outcome, and its association with chronic health conditions. Although larger studies are needed, our results suggest that subgroups of autism spectrum disorder + intellectual disability individuals can be identified based on their multimorbidity and potentially different ageing trajectories. A more comprehensive and personalized approach is needed to reduce the burden of multimorbidity and increase the quality of life and life expectancy in autism spectrum disorder/ intellectual disability.
Collapse
Affiliation(s)
- Stéphanie Miot
- Department of Gerontology and Geriatrics, Montpellier University Hospital, MUSE University, Montpellier, France.,CESP, INSERM U1178, Centre de recherche en Epidemiologie et Santé des Populations, Villejuif, France
| | - Raphaël Chancel
- Department of Gerontology and Geriatrics, Montpellier University Hospital, MUSE University, Montpellier, France.,Autism Reference Centre of Languedoc-Roussillon CRA-LR, Excellence Centre for Autism and Neurodevelopmental disorders CeAND, Montpellier University Hospital, MUSE University, France
| | - Marianne Peries
- Department of Gerontology and Geriatrics, Montpellier University Hospital, MUSE University, Montpellier, France.,Autism Reference Centre of Languedoc-Roussillon CRA-LR, Excellence Centre for Autism and Neurodevelopmental disorders CeAND, Montpellier University Hospital, MUSE University, France
| | - Sophie Crepiat
- Autism Reference Centre of Languedoc-Roussillon CRA-LR, Excellence Centre for Autism and Neurodevelopmental disorders CeAND, Montpellier University Hospital, MUSE University, France
| | - Sylvie Couderc
- Autism Reference Centre of Languedoc-Roussillon CRA-LR, Excellence Centre for Autism and Neurodevelopmental disorders CeAND, Montpellier University Hospital, MUSE University, France
| | - Eric Pernon
- Department of Gerontology and Geriatrics, Montpellier University Hospital, MUSE University, Montpellier, France.,Autism Reference Centre of Languedoc-Roussillon CRA-LR, Excellence Centre for Autism and Neurodevelopmental disorders CeAND, Montpellier University Hospital, MUSE University, France
| | - Marie-Christine Picot
- Department of Gerontology and Geriatrics, Montpellier University Hospital, MUSE University, Montpellier, France.,CESP, INSERM U1178, Centre de recherche en Epidemiologie et Santé des Populations, Villejuif, France
| | - Véronique Gonnier
- Autism Reference Centre of Languedoc-Roussillon CRA-LR, Excellence Centre for Autism and Neurodevelopmental disorders CeAND, Montpellier University Hospital, MUSE University, France
| | - Claude Jeandel
- Department of Gerontology and Geriatrics, Montpellier University Hospital, MUSE University, Montpellier, France
| | - Hubert Blain
- Department of Gerontology and Geriatrics, Montpellier University Hospital, MUSE University, Montpellier, France
| | - Amaria Baghdadli
- Department of Gerontology and Geriatrics, Montpellier University Hospital, MUSE University, Montpellier, France.,CESP, INSERM U1178, Centre de recherche en Epidemiologie et Santé des Populations, Villejuif, France.,Autism Reference Centre of Languedoc-Roussillon CRA-LR, Excellence Centre for Autism and Neurodevelopmental disorders CeAND, Montpellier University Hospital, MUSE University, France
| |
Collapse
|
13
|
Gomez R, Stavropoulos V, Watson S, Brown T, Chen W. Inter-relationships between ADHD, ODD and impulsivity dimensions in emerging adults revealed by network analysis: extending the ‘trait impulsivity hypothesis’. Heliyon 2022; 8:e10712. [PMID: 36247147 PMCID: PMC9561741 DOI: 10.1016/j.heliyon.2022.e10712] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/23/2022] [Accepted: 09/16/2022] [Indexed: 12/04/2022] Open
Abstract
Background The trait-impulsivity hypothesis posits impulsivity as the underlying substrate of Attention-deficit/hyperactivity disorder (ADHD) and Oppositional defiant disorder (ODD) symptom expressions. The current study applied network analysis to evaluate the inter-relationships of dimensions within ADHD (inattention and hyperactivity/impulsivity) and ODD (anger/irritable, vindictiveness, and argumentative/defiant behavior) with components of impulsivity as captured by the UPPS-P model (negative urgency, lack of premeditation, lack of perseverance, sensation seeking, and positive urgency). Method A total of 324 emerging adults (women = 246) from the general community completed questionnaires covering these dimensions. Results Our findings showed that the ADHD and ODD dimensions were associated differentially with different types of impulsivity, in their unique patterns of network connectivities, a possibility that has had little attention in the trait-impulsivity hypothesis literature. Conclusions This study is the first to tease out the unique associations of the ADHD and ODD dimensions with different types of impulsivity, and in that way provide new contributions to our understanding of the existing trait impulsivity theory. Our findings would be especially relevant to those interested in understanding how different dimensions of trait impulsivity underly the ADHD and ODD dimensions.
Collapse
Affiliation(s)
| | - Vasileios Stavropoulos
- Victoria University, Australia
- National and Kapodistrian University of Athens, Athens, Greece
| | | | - Taylor Brown
- Victoria University, Australia
- Corresponding author.
| | - Wai Chen
- Curtin Medical School, Curtin University, Perth, Australia
- enAble Institute, Curtin University, Perth, Australia
- Mental Health Services, Fiona Stanley Hospital, Perth, Australia
- Graduate School of Education, University of Western Australia, Perth, Australia
- School of Medicine (Fremantle), University of Notre Dame Australia, Perth, Australia
- Department of Psychology, Murdoch University, Perth, Australia
| |
Collapse
|
14
|
Damme KSF, Park JS, Walther S, Vargas T, Shankman SA, Mittal VA. Depression and Psychosis Risk Shared Vulnerability for Motor Signs Across Development, Symptom Dimensions, and Familial Risk. Schizophr Bull 2022; 48:752-762. [PMID: 35554607 PMCID: PMC9212095 DOI: 10.1093/schbul/sbab133] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Motor abnormalities are strong transdiagnostic indicators of psychopathology risk that reflect emerging neural network abnormalities. Indeed, motor signs, such as motor slowing and agitation, are widely recognized as core features of both psychosis and depression. However, it is unclear whether these reflect shared or distinct etiology. METHODS A sample of 11 878 adolescents completed self-reported clinical measures of rated psychotic-like experiences (PLEs) and depression. Familial risk for psychopathology and the presence of motor signs were drawn from parental reports, including developmental motor delays (eg, sitting, walking), and adolescent motor signs (eg, dyscoordination, psychomotor retardation, and psychomotor agitation). Finally, motor network connectivity in theoretically relevant networks (cortico-striatal, cortico-thalamic, and cortico-cerebellar) were related to symptoms and familial risk for psychopathology. RESULTS Developmental motor delays related to increased PLEs, increased depression symptoms, and greater familial risk. Familial risk for both PLEs and depression showed higher rates of developmental motor delays than all other groups. Adolescent motor signs, however, showed unique patterns of relationships to symptoms and familial risk such that dyscoordination reflected risk for PLEs, both psychomotor agitation and retardation reflected depression risk, and psychomotor agitation reflected transdiagnostic risk. Cortico-striatal connectivity was related to depression and PLEs, but cortico-cerebellar connectivity was linked to PLEs only. CONCLUSIONS Motor signs may be a transdiagnostic marker of vulnerability for psychopathology. Early developmental motor delays could belie pluripotent, familial risk features. Unique items, eg, dyscoordination specifically related to PLEs, possibly reflecting processes inherent in distinct emerging forms of psychopathology.
Collapse
Affiliation(s)
- Katherine S F Damme
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston/Chicago, IL, USA
| | - Jadyn S Park
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
| | - Sebastian Walther
- University Hospital of Psychiatry, Translational Research Center, University of Bern, Bern, Switzerland
| | - Teresa Vargas
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston/Chicago, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
| | | | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston/Chicago, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
- Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
| |
Collapse
|
15
|
Fagundes CP, Wu-Chung EL, Christian LM. Special Issue: Social Determinants of Health: What we still need to know. Psychoneuroendocrinology 2022; 140:105713. [PMID: 35316686 DOI: 10.1016/j.psyneuen.2022.105713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 03/06/2022] [Accepted: 03/07/2022] [Indexed: 11/16/2022]
Affiliation(s)
- Christopher P Fagundes
- Department of Psychological Sciences, Rice University, Houston, TX, USA; Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
| | - E Lydia Wu-Chung
- Department of Psychological Sciences, Rice University, Houston, TX, USA
| | - Lisa M Christian
- Department of Psychiatry & Behavioral Health and the Institute for Behavioral Medicine Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| |
Collapse
|
16
|
Confirmatory Factor Analysis of Comorbidity between Depression and Aggression in a Child-Adolescent Community Sample: Nosological, Prognosis and Etiological Implications. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084424. [PMID: 35457292 PMCID: PMC9030933 DOI: 10.3390/ijerph19084424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 03/28/2022] [Accepted: 04/06/2022] [Indexed: 12/07/2022]
Abstract
Comorbidity between depression and aggression in the child-adolescent population remains a controversial phenomenon. To our knowledge, no longitudinal study using structural equation modeling (SEM) has confirmed whether the relationship between depression and aggression is due to the fact that they share internalizing and externalizing supraordinal factors at the level of the syndrome or is due to the fact that they share common characteristics in relation to an underlying factor at the level of symptoms. We examined longitudinal comorbid relationships in a community sample (N = 251) at three waves ages from 10 to 13 years. The SEM showed that longitudinally, the comorbidity between depression and aggression is due to the fact that they share characteristics of the same underlying factor at the symptom level. These results have implications for the classification, diagnosis, and treatment of comorbidity between depression and aggression in a child-adolescent population.
Collapse
|
17
|
Preschool Irritability Predicts Adolescent Psychopathology and Functional Impairment: A 12-Year Prospective Study. J Am Acad Child Adolesc Psychiatry 2022; 61:554-564.e1. [PMID: 34481916 PMCID: PMC9951107 DOI: 10.1016/j.jaac.2021.08.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 07/30/2021] [Accepted: 08/26/2021] [Indexed: 01/16/2023]
Abstract
OBJECTIVE The long-term clinical and functional outcomes of preschool-age irritability are unknown. This study examined longitudinal associations of preschool irritability with psychiatric disorders and functional impairment assessed in adolescence in a large community sample. METHOD A total of 453 children were assessed at age 3 and again at ages 12 and/or 15. At age 3, parents were interviewed about their child's irritability, other psychiatric symptoms, and functional impairment with the Preschool Age Psychiatric Assessment (PAPA). In adolescence, both parents and youths were interviewed with the Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime (K-SADS-PL) to assess youth psychopathology and functional impairment; youths also completed the UCLA Life Stress Interview (LSI) to assess different domains of functioning. Lastly, youths and parents completed the Children's Depression Inventory 2 (CDI 2) and the Screen for Child Anxiety Related Disorders (SCARED). RESULTS Irritability at age 3 predicted internalizing and externalizing disorders in adolescence; parent-reported anxiety and depressive symptoms; and greater functional impairment, including poorer peer functioning, poorer physical health, and antidepressant and educational service use, even after controlling for baseline psychiatric disorders. All longitudinal associations persisted after further adjusting for well-established early life risk markers for psychopathology. CONCLUSION The findings of this study underscore the clinical significance and predictive power of preschool irritability and provide support for its use in large-scale identification and intervention efforts.
Collapse
|
18
|
Uljarević M, Bott NT, Libove RA, Phillips JM, Parker KJ, Hardan AY. Characterizing Emotion Recognition and Theory of Mind Performance Profiles in Unaffected Siblings of Autistic Children. Front Psychol 2022; 12:736324. [PMID: 35283803 PMCID: PMC8907847 DOI: 10.3389/fpsyg.2021.736324] [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: 07/05/2021] [Accepted: 12/30/2021] [Indexed: 11/17/2022] Open
Abstract
Emotion recognition skills and the ability to understand the mental states of others are crucial for normal social functioning. Conversely, delays and impairments in these processes can have a profound impact on capability to engage in, maintain, and effectively regulate social interactions. Therefore, this study aimed to compare the performance of 42 autistic children (Mage = 8.25 years, SD = 2.22), 45 unaffected siblings (Mage = 8.65 years, SD = 2.40), and 41 typically developing (TD) controls (Mage = 8.56 years, SD = 2.35) on the Affect Recognition (AR) and Theory of Mind (TOM) subtests of the Developmental Neuropsychological Assessment Battery. There were no significant differences between siblings and TD controls. Autistic children showed significantly poorer performance on AR when compared to TD controls and on TOM when compared to both TD controls and unaffected siblings. An additional comparison of ASD, unaffected sibling and TD control subsamples, matched on full-scale IQ, revealed no group differences for either AR or TOM. AR and TOM processes have received less research attention in siblings of autistic children and remain less well characterized. Therefore, despite limitations, findings reported here contribute to our growing understanding of AR and TOM abilities in siblings of autistic children and highlight important future research directions.
Collapse
Affiliation(s)
- Mirko Uljarević
- Faculty of Medicine, Dentistry, and Health Sciences, Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
- Department of Psychology and Counseling, School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
| | - Nicholas T. Bott
- Department of Medicine, Clinical Excellence Research Center, Stanford University School of Medicine, Stanford, CA, United States
- PGSP-Stanford Consortium, Department of Psychology, Palo Alto University, Palo Alto, CA, United States
| | - Robin A. Libove
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Jennifer M. Phillips
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Karen J. Parker
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Antonio Y. Hardan
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| |
Collapse
|
19
|
Correa KA, Li LY, Nelson BD, Shankman SA. Event-related potentials to acoustic startle probes during unpredictable threat are associated with individual differences in intolerance of uncertainty. Int J Psychophysiol 2022; 174:66-75. [PMID: 35143906 PMCID: PMC8923991 DOI: 10.1016/j.ijpsycho.2022.01.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/26/2022] [Accepted: 01/30/2022] [Indexed: 11/28/2022]
Abstract
Individual differences in sensitivity to unpredictable threat may be a critical mechanism for internalizing psychopathology phenotypes. The present study examined whether the startle probe-elicited N100 and P300 during unpredictable threat - two event-related potentials indexing early and elaborative attentional processing of unpredictable threat - may be endophenotypes for internalizing psychopathology, including fear and distress/misery disorders and intolerance of uncertainty (IU), a clinical trait that is transdiagnostically associated with internalizing disorders. A large sample of adult siblings (N = 375) completed the no, predictable, and unpredictable threat task, during which the N100 and P300 were recorded. Relative to the no threat condition, N100 was more strongly enhanced in anticipation of unpredictable than predictable threat while P300 was suppressed to both predictable and unpredictable threat. While neither N100 enhancement nor P300 suppression to unpredictable threat was associated with fear or distress/misery disorders, they were negatively linked to inhibitory IU (a facet of IU). Thus, individuals high in inhibitory IU showed reduced attentional engagement with the threatening context when it was unpredictable. Further, N100 enhancement and, to a lesser degree, P300 suppression to unpredictable threat showed familial aggregation - a key criterion for determining whether a biomarker is an endophenotype. In sum, N100 enhancement and P300 suppression to unpredictable threat may be endophenotypes for dimensional measures of internalizing psychopathology.
Collapse
Affiliation(s)
- Kelly A Correa
- Department of Psychology, University of Illinois at Chicago, Chicago, IL, USA; Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - Lilian Y Li
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - Brady D Nelson
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Stewart A Shankman
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA.
| |
Collapse
|
20
|
Bell ZE, Fristad MA, Youngstrom EA, Arnold LE, Beauchaine TP. Attention-Deficit/Hyperactivity Disorder Symptoms and Externalizing Progression in the LAMS Study: A Test of Trait Impulsivity Theory. J Am Acad Child Adolesc Psychiatry 2022; 61:298-307. [PMID: 34098014 PMCID: PMC8642493 DOI: 10.1016/j.jaac.2021.05.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 03/28/2021] [Accepted: 05/28/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To test differential prospective prediction of growth in externalizing behavior, including oppositional defiant disorder, conduct disorder, and substance use disorders, by earlier hyperactive-impulsive (HI) vs inattentive (IN) symptoms of attention-deficit/hyperactivity disorder (ADHD). METHOD Participants in the Longitudinal Assessment of Manic Symptoms (LAMS) Study (N = 685 at study entry), including 458 boys and 227 girls ages 6-12, completed full parent report and self-report assessments every year for 8 years on the Schedule for Affective Disorders and Schizophrenia for School-Age Children. Three sets of analyses were conducted. First, hierarchal regression (block entry) was used to test independent associations between HI symptoms and later externalizing outcomes, controlling for IN symptoms, and IN symptoms and later externalizing outcomes, controlling for HI symptoms. Second, logistic regression was used to test progression of DSM externalizing disorders. Third, tests of mediation were used to assess potentiation of externalizing progression through environmental risk mediators (eg, family environment, neighborhood violence). RESULTS Consistent with hypotheses derived from trait impulsivity theories of externalizing behavior, HI symptoms of ADHD were associated independently with long-term externalizing outcomes, whereas IN symptoms were not. Between months 48 and 96, ADHD-HI/combined symptom subtype diagnoses predicted later oppositional defiant disorder diagnoses, oppositional defiant disorder diagnoses predicted later conduct disorder diagnoses, and conduct disorder diagnoses predicted later substance use disorder diagnoses. Evidence for environmental risk mediation (eg, parental monitoring, neighborhood violence) was also found. CONCLUSION Findings support trait impulsivity models of externalizing progression, whereby ADHD-HI/combined symptoms subtypes predispose to increasingly severe externalizing behaviors, which are magnified in contexts of environmental risk.
Collapse
|
21
|
Damme KS, Park JS, Vargas T, Walther S, Shankman SA, Mittal VA. Motor abnormalities, depression risk, and clinical course in adolescence. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2022; 2:61-69. [PMID: 35419552 PMCID: PMC9000199 DOI: 10.1016/j.bpsgos.2021.06.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/25/2021] [Accepted: 06/26/2021] [Indexed: 02/02/2023] Open
Abstract
Background Motor abnormalities, such as psychomotor agitation and retardation, are widely recognized as core features of depression. However, it is not currently known if motor abnormalities connote risk for depression. Methods Using data from the Adolescent Brain Cognitive Development (ABCD) Study, a nationally representative sample of youth (n=10,835, 9-11 years old), the present paper examines whether motor abnormalities are associated with (a) depression symptoms in early adolescence, (b) familial risk for depression (familial risk loading), and (c) future depression symptoms. Motor abnormalities measures included traditional (DSM) motor signs such as psychomotor agitation and retardation as well as other motor domains such as developmental motor delays and dyscoordination. Results Traditional motor abnormalities were less prevalent (agitation=3.2%, retardation=0.3%) than non-traditional domains (delays=13.79%, coordination=35.5%) among adolescents. Motor dysfunction was associated with depression symptoms (Cohen's ds=0.02 to 0.12). Familial risk for depression was related to motor abnormalities (Cohen's ds=0.08 to 0.27), with the exception of motor retardation. Family vulnerability varied in sensitivity to depression risk (e.g., retardation: .53%; dyscoordination: 32.05%). Baseline endorsement of motor abnormalities predicted future depression symptoms at one-year follow-up. Conclusions These findings suggest that motor signs reflect a novel, promising future direction for examining vulnerability to depression risk in early adolescence.
Collapse
Affiliation(s)
- Katherine S.F. Damme
- Department of Psychology, Northwestern University, Evanston, Illinois
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, Illinois
| | - Jadyn S. Park
- Department of Psychology, Northwestern University, Evanston, Illinois
- Department of Psychiatry, Northwestern University, Chicago, Illinois
| | - Teresa Vargas
- Department of Psychology, Northwestern University, Evanston, Illinois
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, Illinois
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Stewart A. Shankman
- Department of Psychology, Northwestern University, Evanston, Illinois
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, Illinois
- Department of Psychiatry, Northwestern University, Chicago, Illinois
| | - Vijay A. Mittal
- Department of Psychology, Northwestern University, Evanston, Illinois
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, Illinois
- Medical Social Sciences, Northwestern University, Chicago, Illinois
- Institute for Policy Research, Northwestern University, Chicago, Illinois
| |
Collapse
|
22
|
Bas‐Hoogendam JM, Groenewold NA, Aghajani M, Freitag GF, Harrewijn A, Hilbert K, Jahanshad N, Thomopoulos SI, Thompson PM, Veltman DJ, Winkler AM, Lueken U, Pine DS, van der Wee NJA, Stein DJ. ENIGMA-anxiety working group: Rationale for and organization of large-scale neuroimaging studies of anxiety disorders. Hum Brain Mapp 2022; 43:83-112. [PMID: 32618421 PMCID: PMC8805695 DOI: 10.1002/hbm.25100] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/09/2020] [Accepted: 06/08/2020] [Indexed: 12/11/2022] Open
Abstract
Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders.
Collapse
Affiliation(s)
- Janna Marie Bas‐Hoogendam
- Department of Developmental and Educational PsychologyLeiden University, Institute of PsychologyLeidenThe Netherlands
- Department of PsychiatryLeiden University Medical CenterLeidenThe Netherlands
- Leiden Institute for Brain and CognitionLeidenThe Netherlands
| | - Nynke A. Groenewold
- Department of Psychiatry & Mental HealthUniversity of Cape TownCape TownSouth Africa
| | - Moji Aghajani
- Department of PsychiatryAmsterdam UMC / VUMCAmsterdamThe Netherlands
- Department of Research & InnovationGGZ inGeestAmsterdamThe Netherlands
| | - Gabrielle F. Freitag
- National Institute of Mental Health, Emotion and Development BranchBethesdaMarylandUSA
| | - Anita Harrewijn
- National Institute of Mental Health, Emotion and Development BranchBethesdaMarylandUSA
| | - Kevin Hilbert
- Department of PsychologyHumboldt‐Universität zu BerlinBerlinGermany
| | - Neda Jahanshad
- University of Southern California Keck School of MedicineImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics InstituteLos AngelesCaliforniaUSA
| | - Sophia I. Thomopoulos
- University of Southern California Keck School of MedicineImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics InstituteLos AngelesCaliforniaUSA
| | - Paul M. Thompson
- University of Southern California Keck School of MedicineImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics InstituteLos AngelesCaliforniaUSA
| | - Dick J. Veltman
- Department of PsychiatryAmsterdam UMC / VUMCAmsterdamThe Netherlands
| | - Anderson M. Winkler
- National Institute of Mental Health, Emotion and Development BranchBethesdaMarylandUSA
| | - Ulrike Lueken
- Department of PsychologyHumboldt‐Universität zu BerlinBerlinGermany
| | - Daniel S. Pine
- National Institute of Mental Health, Emotion and Development BranchBethesdaMarylandUSA
| | - Nic J. A. van der Wee
- Department of PsychiatryLeiden University Medical CenterLeidenThe Netherlands
- Leiden Institute for Brain and CognitionLeidenThe Netherlands
| | - Dan J. Stein
- Department of Psychiatry & Mental HealthUniversity of Cape TownCape TownSouth Africa
- University of Cape TownSouth African MRC Unit on Risk & Resilience in Mental DisordersCape TownSouth Africa
- University of Cape TownNeuroscience InstituteCape TownSouth Africa
| |
Collapse
|
23
|
Internalizing-externalizing comorbidity and regional brain volumes in the ABCD study. Dev Psychopathol 2021; 33:1620-1633. [PMID: 36238203 PMCID: PMC9555230 DOI: 10.1017/s0954579421000560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Despite nonoverlapping diagnostic criteria, internalizing and externalizing disorders show substantial comorbidity. This comorbidity is attributable, at least in part, to transdiagnostic neuroaffective mechanisms. Both unipolar depression and externalizing disorders are characterized by structural and functional compromises in the striatum and its projections to the anterior cingulate cortex (ACC) and other frontal regions. Smaller volumes and dampened reward responding in these regions are associated with anhedonia and irritability - mood states that cut across the internalizing and externalizing spectra. In contrast, smaller amygdala volumes and dampened amygdala function differentiate externalizing disorders from internalizing disorders. Little is known, however, about associations between internalizing-externalizing comorbidity and brain volumes in these regions, or whether such patterns differ by sex. Using a transdiagnostic, research domain criteria (RDoC)-informed approach, we evaluate associations between heterotypic (Internalizing × Externalizing) symptom interactions and striatal, amygdalar, and ACC volumes among participants in the Adolescent Brain Cognitive Development study (N = 6,971, mean age 9.9 years, 51.6% female). Heterotypic symptoms were associated with ACC volumes for both sexes, over and above the main effects of internalizing and externalizing alone. However, heterotypic comorbidity was associated with larger ACC volumes for girls, but with smaller ACC volumes for boys. These findings suggest a need for further studies and transdiagnostic assessment by sex.
Collapse
|
24
|
Ostlund B, Myruski S, Buss K, Pérez-Edgar KE. The centrality of temperament to the research domain criteria (RDoC): The earliest building blocks of psychopathology. Dev Psychopathol 2021; 33:1584-1598. [PMID: 34365985 PMCID: PMC10039756 DOI: 10.1017/s0954579421000511] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The research domain criteria (RDoC) is an innovative approach designed to explore dimensions of human behavior. The aim of this approach is to move beyond the limits of psychiatric categories in the hope of aligning the identification of psychological health and dysfunction with clinical neuroscience. Despite its contributions to adult psychopathology research, RDoC undervalues ontogenetic development, which circumscribes our understanding of the etiologies, trajectories, and maintaining mechanisms of psychopathology risk. In this paper, we argue that integrating temperament research into the RDoC framework will advance our understanding of the mechanistic origins of psychopathology beginning in infancy. In illustrating this approach, we propose the incorporation of core principles of temperament theories into a new "life span considerations" subsection as one option for infusing development into the RDoC matrix. In doing so, researchers and clinicians may ultimately have the tools necessary to support emotional development and reduce a young child's likelihood of psychological dysfunction beginning in the first years of life.
Collapse
Affiliation(s)
- Brendan Ostlund
- Department of Psychology, The Pennsylvania State University, University Park, US
| | - Sarah Myruski
- Department of Psychology, The Pennsylvania State University, University Park, US
| | - Kristin Buss
- Department of Psychology, The Pennsylvania State University, University Park, US
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, US
| | | |
Collapse
|
25
|
Rauner M, Foessl I, Formosa MM, Kague E, Prijatelj V, Lopez NA, Banerjee B, Bergen D, Busse B, Calado Â, Douni E, Gabet Y, Giralt NG, Grinberg D, Lovsin NM, Solan XN, Ostanek B, Pavlos NJ, Rivadeneira F, Soldatovic I, van de Peppel J, van der Eerden B, van Hul W, Balcells S, Marc J, Reppe S, Søe K, Karasik D. Perspective of the GEMSTONE Consortium on Current and Future Approaches to Functional Validation for Skeletal Genetic Disease Using Cellular, Molecular and Animal-Modeling Techniques. Front Endocrinol (Lausanne) 2021; 12:731217. [PMID: 34938269 PMCID: PMC8686830 DOI: 10.3389/fendo.2021.731217] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 09/30/2021] [Indexed: 12/26/2022] Open
Abstract
The availability of large human datasets for genome-wide association studies (GWAS) and the advancement of sequencing technologies have boosted the identification of genetic variants in complex and rare diseases in the skeletal field. Yet, interpreting results from human association studies remains a challenge. To bridge the gap between genetic association and causality, a systematic functional investigation is necessary. Multiple unknowns exist for putative causal genes, including cellular localization of the molecular function. Intermediate traits ("endophenotypes"), e.g. molecular quantitative trait loci (molQTLs), are needed to identify mechanisms of underlying associations. Furthermore, index variants often reside in non-coding regions of the genome, therefore challenging for interpretation. Knowledge of non-coding variance (e.g. ncRNAs), repetitive sequences, and regulatory interactions between enhancers and their target genes is central for understanding causal genes in skeletal conditions. Animal models with deep skeletal phenotyping and cell culture models have already facilitated fine mapping of some association signals, elucidated gene mechanisms, and revealed disease-relevant biology. However, to accelerate research towards bridging the current gap between association and causality in skeletal diseases, alternative in vivo platforms need to be used and developed in parallel with the current -omics and traditional in vivo resources. Therefore, we argue that as a field we need to establish resource-sharing standards to collectively address complex research questions. These standards will promote data integration from various -omics technologies and functional dissection of human complex traits. In this mission statement, we review the current available resources and as a group propose a consensus to facilitate resource sharing using existing and future resources. Such coordination efforts will maximize the acquisition of knowledge from different approaches and thus reduce redundancy and duplication of resources. These measures will help to understand the pathogenesis of osteoporosis and other skeletal diseases towards defining new and more efficient therapeutic targets.
Collapse
Affiliation(s)
- Martina Rauner
- Department of Medicine III, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- University Hospital Carl Gustav Carus, Dresden, Germany
| | - Ines Foessl
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Endocrine Lab Platform, Medical University of Graz, Graz, Austria
| | - Melissa M. Formosa
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, Malta
- Centre for Molecular Medicine and Biobanking, University of Malta, Msida, Malta
| | - Erika Kague
- School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, United Kingdom
| | - Vid Prijatelj
- Department of Oral and Maxillofacial Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- The Generation R Study, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Nerea Alonso Lopez
- Rheumatology and Bone Disease Unit, CGEM, Institute of Genetics and Cancer (IGC), Edinburgh, United Kingdom
| | - Bodhisattwa Banerjee
- Musculoskeletal Genetics Laboratory, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Dylan Bergen
- School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, United Kingdom
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Björn Busse
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ângelo Calado
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Lisbon, Portugal
| | - Eleni Douni
- Department of Biotechnology, Agricultural University of Athens, Athens, Greece
- Institute for Bioinnovation, B.S.R.C. “Alexander Fleming”, Vari, Greece
| | - Yankel Gabet
- Department of Anatomy & Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Natalia García Giralt
- Musculoskeletal Research Group, IMIM (Hospital del Mar Medical Research Institute), Centro de Investigación Biomédica en Red en Fragilidad y Envejecimiento Saludable (CIBERFES), ISCIII, Barcelona, Spain
| | - Daniel Grinberg
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, CIBERER, IBUB, IRSJD, Barcelona, Spain
| | - Nika M. Lovsin
- Department of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia
| | - Xavier Nogues Solan
- Musculoskeletal Research Group, IMIM (Hospital del Mar Medical Research Institute), Centro de Investigación Biomédica en Red en Fragilidad y Envejecimiento Saludable (CIBERFES), ISCIII, Barcelona, Spain
| | - Barbara Ostanek
- Department of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia
| | - Nathan J. Pavlos
- Bone Biology & Disease Laboratory, School of Biomedical Sciences, The University of Western Australia, Nedlands, WA, Australia
| | | | - Ivan Soldatovic
- Institute of Medical Statistics and Informatic, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Jeroen van de Peppel
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Bram van der Eerden
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Wim van Hul
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - Susanna Balcells
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, CIBERER, IBUB, IRSJD, Barcelona, Spain
| | - Janja Marc
- Department of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia
| | - Sjur Reppe
- Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
| | - Kent Søe
- Clinical Cell Biology, Department of Pathology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - David Karasik
- Azrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel
- Marcus Research Institute, Hebrew SeniorLife, Boston, MA, United States
| |
Collapse
|
26
|
Characterizing Sleep Problems in 16p11.2 Deletion and Duplication. J Autism Dev Disord 2021; 53:1462-1475. [PMID: 34633643 DOI: 10.1007/s10803-021-05311-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/24/2021] [Indexed: 10/20/2022]
Abstract
Studies of 16p11.2 copy number variants (CNVs) provide an avenue to identify mechanisms of impairment and develop targeted treatments for individuals with neurodevelopmental disorders. 16p11.2 deletion and duplication phenotypes are currently being ascertained; however, sleep disturbances are minimally described. In this study, we examine sleep disturbance in a well-characterized national sample of 16p11.2 CNVs, the Simons Foundation Autism Research Initiative (SFARI) database of youth and adults (n = 692). Factor analyses and multilevel models of derived sleep questionnaires for youth (n = 345) and adults (n = 347) indicate that 16p11.2 carriers show elevated sleep disturbance relative to community controls. Non-carrier family members also show elevated sleep disturbance. However, sleep duration does not differ between carriers and controls. Further studies of sleep in 16p11.2 are needed.
Collapse
|
27
|
Koi P. Genetics on the neurodiversity spectrum: Genetic, phenotypic and endophenotypic continua in autism and ADHD. STUDIES IN HISTORY AND PHILOSOPHY OF SCIENCE 2021; 89:52-62. [PMID: 34365317 DOI: 10.1016/j.shpsa.2021.07.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 07/05/2021] [Accepted: 07/08/2021] [Indexed: 06/13/2023]
Abstract
How we ought to diagnose, categorise and respond to spectrum disabilities such as autism and Attention Deficit/Hyperactivity Disorder (ADHD) is a topic of lively debate. The heterogeneity associated with ADHD and autism is described as falling on various continua of behavioural, neural, and genetic difference. These continua are varyingly described either as extending into the general population, or as being continua within a given disorder demarcation. Moreover, the interrelationships of these continua are likewise often vague and subject to diverse interpretations. In this paper, I explore geneticists' and self-advocates' perspectives concerning autism and ADHD as continua. These diagnoses are overwhelmingly analysed as falling on a continuum or continua of underlying traits, which supports the notion of "the neurodiversity spectrum", i.e., a broader swath of human neural and behavioural diversity on which some concentrations of different functioning are diagnosed. I offer a taxonomy of conceptions of the genetic, phenotypic, and endophenotypic dimensionality within and beyond these diagnostic categories, and suggest that the spectrum of neurodiversity is characteristically endophenotypic.
Collapse
Affiliation(s)
- Polaris Koi
- Philosophy Unit, University of Turku, FI-20014 Turun Yliopisto, Finland.
| |
Collapse
|
28
|
Sreeraj VS, Puzhakkal JC, Holla B, Nadella RK, Sheth S, Balachander S, Ithal D, Ali F, Viswanath B, Muralidharan K, Venkatasubramanian G, John JP, Benegal V, Murthy P, Varghese M, Reddy YJ, Jain S. Cross-diagnostic evaluation of minor physical anomalies in psychiatric disorders. J Psychiatr Res 2021; 142:54-62. [PMID: 34325233 DOI: 10.1016/j.jpsychires.2021.07.028] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 07/11/2021] [Accepted: 07/16/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Minor physical anomalies (MPA) are markers of impaired neurodevelopment during the prenatal stage. Assessing MPA across psychiatric disorders may help understand their shared nature. In addition, MPA in family members would indicate a shared liability and endophenotype potential. We examined familial aggregation of MPA and their role as transdiagnostic and disorder-specific markers of 5 major psychiatric/neuropsychiatric conditions (schizophrenia, bipolar disorder, substance dependence, obsessive-compulsive disorder, and Alzheimer's dementia). METHODS Modified Waldrop's MPA scale was applied on 1321 individuals from 439 transdiagnostic multiplex families and 125 healthy population controls (HC). Stage of fetal development (morphogenetic/phenogenetic)- and anatomical location (craniofacial/peripheral)-based sub-scores were calculated. Familiality and endophenotypic potential of MPA were analyzed with serial negative binomial mixed-effect regression. Cross-diagnostic differences and the effect of family history density (FHD) of each diagnosis on MPA were assessed. Mixed-effects Cox models estimated the influence of MPA on age-at-onset of illness (AAO). RESULTS MPA were found to be heritable in families with psychiatric disorders, with a familiality of 0.52. MPA were higher in psychotic disorders after controlling for effects of sex and intrafamilial correlation. Morphogenetic variant MPA was noted to be lower in dementia in comparison to HC. FHD of schizophrenia and bipolar disorder predicted higher, and that of dementia and substance dependence predicted lower MPA. MPA brought forward the AAO [HR:1.07 (1.03-1.11)], and this was more apparent in psychotic disorders. CONCLUSION MPA are transmissible in families, are specifically related to the risk of developing psychoses, and predict an earlier age at onset. Neurodevelopmentally informed classification of MPA has the potential to enhance the etiopathogenic and translational understanding of psychiatric disorders.
Collapse
Affiliation(s)
- Vanteemar S Sreeraj
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India.
| | - Joan C Puzhakkal
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Bharath Holla
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Ravi Kumar Nadella
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Sweta Sheth
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Srinivas Balachander
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Dhruva Ithal
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Furkhan Ali
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Biju Viswanath
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Kesavan Muralidharan
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India.
| | - John P John
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India.
| | - Vivek Benegal
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Pratima Murthy
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Mathew Varghese
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Yc Janardhan Reddy
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Sanjeev Jain
- Department of Psychiatry, National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore, India.
| | | |
Collapse
|
29
|
Lange I, Papalini S, Vervliet B. Experimental models in psychopathology research: The relation between Research Domain Criteria and Experimental Psychopathology. Curr Opin Psychol 2021; 41:118-123. [PMID: 34418641 DOI: 10.1016/j.copsyc.2021.07.004] [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: 11/27/2020] [Revised: 06/07/2021] [Accepted: 07/12/2021] [Indexed: 11/18/2022]
Abstract
Experimental Psychopathology (EPP) and the Research Domain Criteria (RDoC) are research approaches that have developed in parallel, providing inter-related yet different scientific frameworks to investigate psychopathology at the intersection of fundamental and applied research. Here we address the overlap and differences between RDoC and EPP, and the challenges that both approaches face. Although overlap between EPP and RDoC can be clearly observed, each approach has its own unique strengths and weaknesses. These aspects will be illustrated by examples with respect to fear conditioning, an experimental procedure that has played a central role in both EPP and RDoC. We see much potential in boosting psychopathology research by combining the strengths of these two approaches.
Collapse
Affiliation(s)
- Iris Lange
- Laboratory of Biological Psychology, Department of Brain and Cognition, KU Leuven, Belgium; Leuven Brain Institute, KU Leuven, Belgium.
| | - Silvia Papalini
- Laboratory of Biological Psychology, Department of Brain and Cognition, KU Leuven, Belgium; Leuven Brain Institute, KU Leuven, Belgium
| | - Bram Vervliet
- Laboratory of Biological Psychology, Department of Brain and Cognition, KU Leuven, Belgium; Leuven Brain Institute, KU Leuven, Belgium
| |
Collapse
|
30
|
Liu H, Funkhouser CJ, Langenecker SA, Shankman SA. Set Shifting and Inhibition Deficits as Potential Endophenotypes for Depression. Psychiatry Res 2021; 300:113931. [PMID: 33894683 PMCID: PMC8141023 DOI: 10.1016/j.psychres.2021.113931] [Citation(s) in RCA: 6] [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: 07/28/2020] [Accepted: 04/08/2021] [Indexed: 01/06/2023]
Abstract
The etiology of Major Depressive Disorder (MDD) is poorly understood, and identifying endophenotypes, or intermediate processes implicated in pathophysiology, for MDD may inform treatment and identification/prevention efforts. Impaired set-shifting and inhibition are commonly observed in MDD; however, few studies have examined they are endophenotypes for MDD. Thus, the present study tested whether set-shifting and/or inhibition satisfy several endophenotype criteria: specifically, whether they were (1) impaired in current MDD, (2) impaired in remitted MDD, and (3) familial (i.e., correlated within sibling pairs). Set-shifting and inhibition were assessed using subtests from the Delis-Kaplan Executive Function System. Psychopathology was assessed using the Structured Clinical Interview for DSM-5. Results indicated set-shifting deficits were familial and present in both current MDD and in remitted MDD individuals who had no current disorders, suggesting they may be state-independent. Inhibition was familial, but was generally not impaired in current nor remitted MDD (although the remitted MDD group with no current disorders exhibited impairments on one of the two inhibition tasks). These findings indicate that impaired set-shifting is a promising endophenotype candidate for MDD. Findings are limited to young adults, and further research is needed to test generalizability to other populations, evaluate longitudinal relationships, and examine other endophenotype criteria.
Collapse
Affiliation(s)
- Huiting Liu
- Evidence Based Treatment Centers of Seattle, 1200 5th Ave #800, Seattle, WA 98101, USA
| | - Carter J Funkhouser
- University of Illinois at Chicago, Department of Psychology, 1007 W. Harrison Street, Chicago, IL 60607, USA; Northwestern University, Department of Psychiatry and Behavioral Sciences, 680 North Lake Shore Drive, Chicago, IL 60611, USA
| | - Scott A Langenecker
- University of Illinois at Chicago, Department of Psychology, 1007 W. Harrison Street, Chicago, IL 60607, USA; University of Utah, Department of Psychiatry, 501 Chipeta Way, Salt Lake City, UT 84108, USA
| | - Stewart A Shankman
- University of Illinois at Chicago, Department of Psychology, 1007 W. Harrison Street, Chicago, IL 60607, USA; Northwestern University, Department of Psychiatry and Behavioral Sciences, 680 North Lake Shore Drive, Chicago, IL 60611, USA.
| |
Collapse
|
31
|
Guglielmo R, Miskowiak KW, Hasler G. Evaluating endophenotypes for bipolar disorder. Int J Bipolar Disord 2021; 9:17. [PMID: 34046710 PMCID: PMC8160068 DOI: 10.1186/s40345-021-00220-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 02/08/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Phenotypic heterogeneity is a major impediment to the elucidation of the neurobiology and genetics of bipolar disorder. Endophenotype could help in reducing heterogeneity by defining biological traits that are more direct expressions of gene effects. The aim of this review is to examine the recent literature on clinical, epidemiological, neurobiological, and genetic findings and to select and evaluate candidate endophenotypes for bipolar disorder. Evaluating putative endophenotype could be helpful in better understanding the neurobiology of bipolar disorder by improving the definition of bipolar-related phenotypes in genetic studies. In this manner, research on endophenotypes could be useful to improve psychopathological diagnostics in the long-run by dissecting psychiatric macro phenotypes into biologically valid components. MAIN BODY The associations among the psychopathological and biological endophenotypes are discussed with respect to specificity, temporal stability, heritability, familiarity, and clinical and biological plausibility. Numerous findings regarding brain function, brain structure, neuropsychology and altered neurochemical pathways in patients with bipolar disorder and their relatives deserve further investigation. Overall, major findings suggest a developmental origin of this disorder as all the candidate endophenotypes that we have been able to select are present both in the early stages of the disorder as well as in subjects at risk. CONCLUSIONS Among the stronger candidate endophenotypes, we suggest circadian rhythm instability, dysmodulation of emotion and reward, altered neuroimmune state, attention and executive dysfunctions, anterior cingulate cortex thickness and early white matter abnormalities. In particular, early white matter abnormalities could be the result of a vulnerable brain on which new stressors are added in young adulthood which favours the onset of the disorder. Possible pathways that lead to a vulnerable brain are discussed starting from the data about molecular and imaging endophenotypes of bipolar disorder.
Collapse
Affiliation(s)
- Riccardo Guglielmo
- Psychiatry Research Unit, Fribourg Network for Mental Health (RFSM), University of Fribourg, Chemin du Cardinal-Journet 3, 1752, Villars-sur-Glâne, Switzerland.,Department of Neuroscience, Institute of Psychiatry, Catholic University Medical School, Largo Francesco Vito 1, 00168, Rome, Italy
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Gregor Hasler
- Psychiatry Research Unit, Fribourg Network for Mental Health (RFSM), University of Fribourg, Chemin du Cardinal-Journet 3, 1752, Villars-sur-Glâne, Switzerland.
| |
Collapse
|
32
|
Malcolm A, Phillipou A. Current directions in biomarkers and endophenotypes for anorexia nervosa: A scoping review. J Psychiatr Res 2021; 137:303-310. [PMID: 33735721 DOI: 10.1016/j.jpsychires.2021.02.063] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 02/17/2021] [Accepted: 02/26/2021] [Indexed: 12/30/2022]
Abstract
There are currently no validated biomarkers for anorexia nervosa (AN), though recent literature suggests an increased research interest in this area. Biomarkers are objective, measurable indicators of illness that can be used to assist with diagnosis, risk assessment, and tracking of illness state. Related to biomarkers are endophenotypes, which are quantifiable phenomena that are distinct from symptoms and which link genes to manifest illness. In this scoping review, we sought to provide a summary of recent research conducted in the pursuit of biomarkers and endophenotypes for AN. The findings indicate that a number of possible biomarkers which can assess the presence or severity of AN independently of weight status, including psychophysical (e.g., eye-tracking) and biological (e.g., immune, endocrine, metabolomic, neurobiological) markers, are currently under investigation. However, this research is still in early phases and lacking in replication studies. Endophenotype research has largely been confined to the study of several neurocognitive features, with mixed evidence to support their classification as possible endophenotypes for the disorder. The study of biomarkers and endophenotypes in AN involves significant challenges due to confounding factors of illness-related sequalae, such as starvation. Future research in these areas must prioritise direct evaluation of the sensitivity, specificity and test-retest reliability of proposed biomarkers and enhanced control of confounding physical consequences of AN in the study of biomarkers and endophenotypes.
Collapse
Affiliation(s)
- Amy Malcolm
- Centre for Mental Health, Faculty of Health, Arts & Design, Swinburne University of Technology, Hawthorn, VIC, Australia.
| | - Andrea Phillipou
- Centre for Mental Health, Faculty of Health, Arts & Design, Swinburne University of Technology, Hawthorn, VIC, Australia; Department of Mental Health, St Vincent's Hospital, Melbourne, Australia; Department of Psychiatry, The University of Melbourne, Melbourne, Australia; Department of Mental Health, Austin Health, Melbourne, Australia
| |
Collapse
|
33
|
Kessel EM, Frost A, Goldstein BL, Black SR, Dougherty LR, Carlson GA, Klein DN. Developmental pathways from preschool irritability to multifinality in early adolescence: the role of diurnal cortisol. Psychol Med 2021; 51:761-769. [PMID: 31858921 PMCID: PMC8906367 DOI: 10.1017/s0033291719003684] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND Early irritability predicts a broad spectrum of psychopathology spanning both internalizing and externalizing disorders, rather than any particular disorder or group of disorders (i.e. multifinality). Very few studies, however, have examined the developmental mechanisms by which it leads to such phenotypically diverse outcomes. We examined whether variation in the diurnal pattern of cortisol moderates developmental pathways between preschool irritability and the subsequent emergence of internalizing and externalizing symptoms 9 years later. METHOD When children were 3 years old, mothers were interviewed about children's irritability and completed questionnaires about their children's psychopathology. Six years later, children collected saliva samples at wake-up and bedtime on three consecutive days. Diurnal cortisol patterns were modeled as latent difference scores between evening and morning samples. When children were approximately 12 years old, mothers again completed questionnaires about their children's psychopathology. RESULTS Among children with higher levels of irritability at age 3, a steeper diurnal cortisol slope at age 9 predicted greater internalizing symptoms and irritability at age 12, whereas a blunted slope at age 9 predicted greater externalizing symptoms at age 12, adjusting for baseline and concurrent symptoms. CONCLUSION Our results suggest that variation in stress system functioning can predict and differentiate developmental trajectories of early irritability that are relatively more internalizing v. those in which externalizing symptoms dominate in pre-adolescence.
Collapse
Affiliation(s)
- Ellen M. Kessel
- Division of Child and Adolescent Psychiatry, Columbia University and the New York State Psychiatric Institute
| | | | | | | | | | | | | |
Collapse
|
34
|
Abstract
Growth mixture modeling (GMM) and its variants, which group individuals based on similar longitudinal growth trajectories, are quite popular in developmental and clinical science. However, research addressing the validity of GMM-identified latent subgroupings is limited. This Monte Carlo simulation tests the efficiency of GMM in identifying known subgroups (k = 1-4) across various combinations of distributional characteristics, including skew, kurtosis, sample size, intercept effect size, patterns of growth (none, linear, quadratic, exponential), and proportions of observations within each group. In total, 1,955 combinations of distributional parameters were examined, each with 1,000 replications (1,955,000 simulations). Using standard fit indices, GMM often identified the wrong number of groups. When one group was simulated with varying skew and kurtosis, GMM often identified multiple groups. When two groups were simulated, GMM performed well only when one group had steep growth (whether linear, quadratic, or exponential). When three to four groups were simulated, GMM was effective primarily when intercept effect sizes and sample sizes were large, an uncommon state of affairs in real-world applications. When conditions were less ideal, GMM often underestimated the correct number of groups when the true number was between two and four. Results suggest caution in interpreting GMM results, which sometimes get reified in the literature.
Collapse
|
35
|
Nayar K, Sealock JM, Maltman N, Bush L, Cook EH, Davis LK, Losh M. Elevated Polygenic Burden for Autism Spectrum Disorder Is Associated With the Broad Autism Phenotype in Mothers of Individuals With Autism Spectrum Disorder. Biol Psychiatry 2021; 89:476-485. [PMID: 33229037 PMCID: PMC7901138 DOI: 10.1016/j.biopsych.2020.08.029] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 08/15/2020] [Accepted: 08/31/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a multifactorial neurodevelopmental disorder that encompasses a complex and heterogeneous set of traits. Subclinical traits that mirror the core features of ASD, referred to as the broad autism phenotype (BAP), have been documented repeatedly in unaffected relatives and are believed to reflect underlying genetic liability to ASD. The BAP may help inform the etiology of ASD by allowing the stratification of families into more phenotypically and etiologically homogeneous subgroups. This study explores polygenic scores related to the BAP. METHODS Phenotypic and genotypic information were obtained from 2614 trios from the Simons Simplex Collection. Polygenic scores of ASD (ASD-PGSs) were generated across the sample to determine the shared genetic overlap between the BAP and ASD. Maternal and paternal ASD-PGSs were explored in relation to BAP traits and their child's ASD symptomatology. RESULTS Maternal pragmatic language was related to child's social communicative atypicalities. In fathers, rigid personality was related to increased repetitive behaviors in children. Maternal (but not paternal) ASD-PGSs were related to the pragmatic language and rigid BAP domains. CONCLUSIONS Associations emerged between parent and child phenotypes, with more associations emerging in mothers than in fathers. ASD-PGS associations emerged with BAP in mothers only, highlighting the potential for a female protective factor, and implicating the polygenic etiology of ASD-related phenotypes in the BAP.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Molly Losh
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois.
| |
Collapse
|
36
|
Barker ED, Ing A, Biondo F, Jia T, Pingault JB, Du Rietz E, Zhang Y, Ruggeri B, Banaschewski T, Hohmann S, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Sounga-Barke E, Bowling AB, Desrivières S, Flor H, Frouin V, Garavan H, Asherson P, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Nees F, Papadopoulos-Orfanos D, Poustka L, Smolka MN, Vetter NC, Walter H, Whelan R, Schumann G. Do ADHD-impulsivity and BMI have shared polygenic and neural correlates? Mol Psychiatry 2021; 26:1019-1028. [PMID: 31227801 PMCID: PMC7910212 DOI: 10.1038/s41380-019-0444-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 04/29/2019] [Accepted: 05/03/2019] [Indexed: 01/29/2023]
Abstract
There is an extensive body of literature linking ADHD to overweight and obesity. Research indicates that impulsivity features of ADHD account for a degree of this overlap. The neural and polygenic correlates of this association have not been thoroughly examined. In participants of the IMAGEN study, we found that impulsivity symptoms and body mass index (BMI) were associated (r = 0.10, n = 874, p = 0.014 FWE corrected), as were their respective polygenic risk scores (PRS) (r = 0.17, n = 874, p = 6.5 × 10-6 FWE corrected). We then examined whether the phenotypes of impulsivity and BMI, and the PRS scores of ADHD and BMI, shared common associations with whole-brain grey matter and the Monetary Incentive Delay fMRI task, which associates with reward-related impulsivity. A sparse partial least squared analysis (sPLS) revealed a shared neural substrate that associated with both the phenotypes and PRS scores. In a last step, we conducted a bias corrected bootstrapped mediation analysis with the neural substrate score from the sPLS as the mediator. The ADHD PRS associated with impulsivity symptoms (b = 0.006, 90% CIs = 0.001, 0.019) and BMI (b = 0.009, 90% CIs = 0.001, 0.025) via the neuroimaging substrate. The BMI PRS associated with BMI (b = 0.014, 95% CIs = 0.003, 0.033) and impulsivity symptoms (b = 0.009, 90% CIs = 0.001, 0.025) via the neuroimaging substrate. A common neural substrate may (in part) underpin shared genetic liability for ADHD and BMI and the manifestation of their (observable) phenotypic association.
Collapse
Affiliation(s)
- Edward D Barker
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK.
| | - Alex Ing
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Francesca Biondo
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Tianye Jia
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
| | | | - Ebba Du Rietz
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Yuning Zhang
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Barbara Ruggeri
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - 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
| | - Sarah Hohmann
- 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, Martinistr. 52, 20246, Hamburg, Germany
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Erin Burke Quinlan
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Edmund Sounga-Barke
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - April B Bowling
- School of Health Science, Merrimack College, 315 Turnpike Street North Andover, North Andover, MA, 01845, USA
| | - Sylvane Desrivières
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, 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
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405, Burlington, VT, USA
| | - Philip Asherson
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Abbestr. 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
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes; Sorbonne Université; and AP-HP, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, 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
| | - Dimitri Papadopoulos-Orfanos
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nora C Vetter
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| |
Collapse
|
37
|
Teeuw J, Hulshoff Pol HE, Boomsma DI, Brouwer RM. Reliability modelling of resting-state functional connectivity. Neuroimage 2021; 231:117842. [PMID: 33581291 DOI: 10.1016/j.neuroimage.2021.117842] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 02/02/2021] [Accepted: 02/04/2021] [Indexed: 12/12/2022] Open
Abstract
Resting-state functional magnetic resonance imaging (rs-fMRI) has an inherently low signal-to-noise ratio largely due to thermal and physiological noise that attenuates the functional connectivity (FC) estimates. Such attenuation limits the reliability of FC and may bias its association with other traits. Low reliability also limits heritability estimates. Classical test theory can be used to obtain a true correlation estimate free of random measurement error from parallel tests, such as split-half sessions of a rs-fMRI scan. We applied a measurement model to split-half FC estimates from the resting-state fMRI data of 1003 participants from the Human Connectome Project (HCP) to examine the benefit of reliability modelling of FC in association with traits from various domains. We evaluated the efficiency of the measurement model on extracting a stable and reliable component of FC and its association with several traits for various sample sizes and scan durations. In addition, we aimed to replicate our previous findings of increased heritability estimates when using a measurement model in a longitudinal adolescent twin cohort. The split-half measurement model improved test-retest reliability of FC on average with +0.33 points (from +0.49 to +0.82), improved strength of associations between FC and various traits on average 1.2-fold (range 1.09-1.35), and increased heritability estimates on average with +20% points (from 39% to 59%) for the full HCP dataset. On average, about half of the variance in split-session FC estimates was attributed to the stable and reliable component of FC. Shorter scan durations showed greater benefit of reliability modelling (up to 1.6-fold improvement), with an additional gain for smaller sample sizes (up to 1.8-fold improvement). Reliability modelling of FC based on a split-half using a measurement model can benefit genetic and behavioral studies by extracting a stable and reliable component of FC that is free from random measurement error and improves genetic and behavioral associations.
Collapse
Affiliation(s)
- Jalmar Teeuw
- Brain Center Rudolf Magnus and Department of Psychiatry, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.
| | - Hilleke E Hulshoff Pol
- Brain Center Rudolf Magnus and Department of Psychiatry, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Rachel M Brouwer
- Brain Center Rudolf Magnus and Department of Psychiatry, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands
| |
Collapse
|
38
|
Roy B, Dwivedi Y. Modeling endophenotypes of suicidal behavior in animals. Neurosci Biobehav Rev 2021; 128:819-827. [PMID: 33421543 DOI: 10.1016/j.neubiorev.2020.12.033] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 11/25/2020] [Accepted: 12/31/2020] [Indexed: 12/26/2022]
Abstract
Suicide is a major public health concern. One of the common contributors to the increased risk for suicide is the genetic constitution of individuals, which determines certain endophenotypic traits used as quantifiable measure of neurobiological functions. Therefore, a logical deconstruction of the originating endophenotypes associated with suicidal risk could provide a better understanding of this complex disorder. In this regard, non-human animals can be a useful resource to test endophenotypes of suicidal behavior and the neurobiology underlying these endophenotypes. In this review, we have focused on the neurobiological abnormalities, primarily genetic and epigenetic abnormalities, associated with suicidal behavior and the scope of their modeling in animals. This can substantially advance the current understanding of suicidal behavior manifested with certain trait-based endophenotypes and may provide an opportunity to test novel hypotheses as well as aid in the development of treatment opportunities and risk assessment.
Collapse
Affiliation(s)
- Bhaskar Roy
- Department of Psychiatry and Behavioral Neurobiology, 1720 7(th) Avenue South, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Yogesh Dwivedi
- Department of Psychiatry and Behavioral Neurobiology, 1720 7(th) Avenue South, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
| |
Collapse
|
39
|
Begum Ali J, Charman T, Johnson MH, Jones EJH. Early Motor Differences in Infants at Elevated Likelihood of Autism Spectrum Disorder and/or Attention Deficit Hyperactivity Disorder. J Autism Dev Disord 2020; 50:4367-4384. [PMID: 32328858 PMCID: PMC7677154 DOI: 10.1007/s10803-020-04489-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
We investigated infant's manual motor behaviour; specifically behaviours crossing the body midline. Infants at elevated likelihood of Autism Spectrum Disorder (ASD) and/or Attention Deficit Hyperactivity Disorder (ADHD) produced fewer manual behaviours that cross the midline compared to infants with a typical likelihood of developing these disorders; however this effect was limited to 10-month-olds and not apparent at age 5 and 14 months. Although, midline crossing did not predict ASD traits, it was related to ADHD traits at 2 years of age. We rule out motor ability and hand dominance as possible explanations for this pattern of behaviour, positing that these results may be a consequence of multisensory integration abilities, and the neurobehavioural shift period, in the first year of life.
Collapse
Affiliation(s)
- Jannath Begum Ali
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, Henry Wellcome Building, Malet Street, London, WC1E 7HX, UK.
| | - Tony Charman
- Psychology Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Mark H Johnson
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, Henry Wellcome Building, Malet Street, London, WC1E 7HX, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, Henry Wellcome Building, Malet Street, London, WC1E 7HX, UK
| |
Collapse
|
40
|
Donati FL, D’Agostino A, Ferrarelli F. Neurocognitive and neurophysiological endophenotypes in schizophrenia: An overview. Biomark Neuropsychiatry 2020. [DOI: 10.1016/j.bionps.2020.100017] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
|
41
|
Trevis KJ, Brown NJ, Green CC, Lockhart PJ, Desai T, Vick T, Anderson V, Pua EPK, Bahlo M, Delatycki MB, Scheffer IE, Wilson SJ. Tracing Autism Traits in Large Multiplex Families to Identify Endophenotypes of the Broader Autism Phenotype. Int J Mol Sci 2020; 21:E7965. [PMID: 33120939 PMCID: PMC7663259 DOI: 10.3390/ijms21217965] [Citation(s) in RCA: 2] [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: 09/21/2020] [Revised: 10/14/2020] [Accepted: 10/21/2020] [Indexed: 12/11/2022] Open
Abstract
Families comprising many individuals with Autism Spectrum Disorders (ASD) may carry a dominant predisposing mutation. We implemented rigorous phenotyping of the "Broader Autism Phenotype" (BAP) in large multiplex ASD families using a novel endophenotype approach for the identification and characterisation of distinct BAP endophenotypes. We evaluated ASD/BAP features using standardised tests and a semi-structured interview to assess social, intellectual, executive and adaptive functioning in 110 individuals, including two large multiplex families (Family A: 30; Family B: 35) and an independent sample of small families (n = 45). Our protocol identified four distinct psychological endophenotypes of the BAP that were evident across these independent samples, and showed high sensitivity (97%) and specificity (82%) for individuals classified with the BAP. Patterns of inheritance of identified endophenotypes varied between the two large multiplex families, supporting their utility for identifying genes in ASD.
Collapse
Affiliation(s)
- Krysta J. Trevis
- Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC 3084, Australia; (K.J.T.); (C.C.G.); (T.D.); (E.P.K.P.); (I.E.S.)
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC 3010, Australia;
| | - Natasha J. Brown
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia; (N.J.B.); (M.B.D.)
- Barwon Health, Geelong, VIC 3220, Australia;
| | - Cherie C. Green
- Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC 3084, Australia; (K.J.T.); (C.C.G.); (T.D.); (E.P.K.P.); (I.E.S.)
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC 3010, Australia;
- Department of Psychology and Counselling, School of Psychology and Public Health, La Trobe University, Bundoora, VIC 3086, Australia
| | - Paul J. Lockhart
- Bruce Lefroy Centre for Genetic Health Research, Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia;
- Department of Paediatrics, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Tarishi Desai
- Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC 3084, Australia; (K.J.T.); (C.C.G.); (T.D.); (E.P.K.P.); (I.E.S.)
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC 3010, Australia;
| | - Tanya Vick
- Barwon Health, Geelong, VIC 3220, Australia;
| | - Vicki Anderson
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC 3010, Australia;
- Psychological Service, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
- Clinical Sciences Research, Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia
| | - Emmanuel P. K. Pua
- Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC 3084, Australia; (K.J.T.); (C.C.G.); (T.D.); (E.P.K.P.); (I.E.S.)
| | - Melanie Bahlo
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia;
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Martin B. Delatycki
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia; (N.J.B.); (M.B.D.)
- Bruce Lefroy Centre for Genetic Health Research, Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia;
- Department of Paediatrics, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Ingrid E. Scheffer
- Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC 3084, Australia; (K.J.T.); (C.C.G.); (T.D.); (E.P.K.P.); (I.E.S.)
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia; (N.J.B.); (M.B.D.)
- Clinical Sciences Research, Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia
| | - Sarah J. Wilson
- Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC 3084, Australia; (K.J.T.); (C.C.G.); (T.D.); (E.P.K.P.); (I.E.S.)
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC 3010, Australia;
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia
| |
Collapse
|
42
|
Look duration at the face as a developmental endophenotype: elucidating pathways to autism and ADHD. Dev Psychopathol 2020; 32:1303-1322. [DOI: 10.1017/s0954579420000930] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
AbstractIdentifying developmental endophenotypes on the pathway between genetics and behavior is critical to uncovering the mechanisms underlying neurodevelopmental conditions. In this proof-of-principle study, we explored whether early disruptions in visual attention are a unique or shared candidate endophenotype of autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). We calculated the duration of the longest look (i.e., peak look) to faces in an array-based eye-tracking task for 335 14-month-old infants with and without first-degree relatives with ASD and/or ADHD. We leveraged parent-report and genotype data available for a proportion of these infants to evaluate the relation of looking behavior to familial (n = 285) and genetic liability (using polygenic scores, n = 185) as well as ASD and ADHD-relevant temperament traits at 2 years of age (shyness and inhibitory control, respectively, n = 272) and ASD and ADHD clinical traits at 6 years of age (n = 94).Results showed that longer peak looks at the face were associated with elevated polygenic scores for ADHD (β = 0.078, p = .023), but not ASD (β = 0.002, p = .944), and with elevated ADHD traits in mid-childhood (F(1,88) = 6.401, p = .013, $\eta _p^2$=0.068; ASD: F (1,88) = 3.218, p = .076), but not in toddlerhood (ps > 0.2). This pattern of results did not emerge when considering mean peak look duration across face and nonface stimuli. Thus, alterations in attention to faces during spontaneous visual exploration may be more consistent with a developmental endophenotype of ADHD than ASD. Our work shows that dissecting paths to neurodevelopmental conditions requires longitudinal data incorporating polygenic contribution, early neurocognitive function, and clinical phenotypic variation.
Collapse
|
43
|
Beauchaine TP. Editorial: Family History of Depression and Child Striatal Volumes in the ABCD Study: Promise and Perils of Neuroimaging Research With Large Samples. J Am Acad Child Adolesc Psychiatry 2020; 59:1133-1134. [PMID: 31931163 DOI: 10.1016/j.jaac.2020.01.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Accepted: 01/06/2020] [Indexed: 10/25/2022]
Abstract
Every generation of psychopathologists is confronted with critical issues that, if left unaddressed, impede progress in both science and practice. As just one example, progress in psychiatry was hindered for many years by problems with diagnostic validity. Surmounting these problems required painstaking efforts to operationalize diagnostic criteria and to formulate effective structured interviews. More recently, critical issues facing psychiatry include tackling the so-called replication crisis, and mapping the overwhelming etiological complexity of psychopathology-two interrelated challenges. Many highly cited findings from past decades have failed to replicate, have not been subjected to replication, or have overestimated effect sizes considerably. Such findings apply to virtually all areas of psychiatric research, spanning genetics, central and peripheral biomarkers, and interventions.1,2.
Collapse
|
44
|
Affiliation(s)
- Gary Remington
- University of Toronto, Centre for Addiction and Mental Health (CAMH), 250 College St., Toronto, M5T 1R8, ON, Canada.
| | - Shitij Kapur
- Faculty of Medicine, Dentistry, and Health Sciences, University of Melbourne, Melbourne, 3010, Australia
| |
Collapse
|
45
|
Beauchaine TP, Ben-David I, Bos M. ADHD, financial distress, and suicide in adulthood: A population study. SCIENCE ADVANCES 2020; 6:6/40/eaba1551. [PMID: 32998893 PMCID: PMC7527218 DOI: 10.1126/sciadv.aba1551] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 07/24/2020] [Indexed: 05/20/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) exerts lifelong impairment, including difficulty sustaining employment, poor credit, and suicide risk. To date, however, studies have assessed selected samples, often via self-report. Using mental health data from the entire Swedish population (N = 11.55 million) and a random sample of credit data (N = 189,267), we provide the first study of objective financial outcomes among adults with ADHD, including associations with suicide. Controlling for psychiatric comorbidities, substance use, education, and income, those with ADHD start adulthood with normal credit demand and default rates. However, in middle age, their default rates grow exponentially, yielding poor credit scores and diminished credit access despite high demand. Sympathomimetic prescriptions are unassociated with improved financial behaviors. Last, financial distress is associated with fourfold higher risk of suicide among those with ADHD. For men but not women with ADHD who suicide, outstanding debt increases in the 3 years prior. No such pattern exists for others who suicide.
Collapse
Affiliation(s)
- Theodore P Beauchaine
- Department of Psychology, College of Arts and Sciences, The Ohio State University, 1835 Neil Avenue, Columbus, OH 43210, USA.
- Nisonger Center for Excellence in Developmental Disabilities, The Ohio State University, 1581 Dodd Drive, Columbus, OH 43210-1257, USA
| | - Itzhak Ben-David
- Department of Finance, Fisher College of Business, The Ohio State University, 606A Fisher Hall, 2100 Neil Avenue, Columbus, OH 43210, USA.
- National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138, USA
| | - Marieke Bos
- The Swedish House of Finance at the Stockholm School of Economics, Drottninggatan 98, 111 60 Stockholm, Sweden.
- The Federal Reserve Bank of Philadelphia, 10 N Independence Mall W, Philadelphia, PA 19106, USA
| |
Collapse
|
46
|
Low JSY, Thevarajah TM, Chang SW, Goh BT, Khor SM. Biosensing based on surface-enhanced Raman spectroscopy as an emerging/next-generation point-of-care approach for acute myocardial infarction diagnosis. Crit Rev Biotechnol 2020; 40:1191-1209. [PMID: 32811205 DOI: 10.1080/07388551.2020.1808582] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Cardiovascular disease is a major global health issue. In particular, acute myocardial infarction (AMI) requires urgent attention and early diagnosis. The use of point-of-care diagnostics has resulted in the improved management of cardiovascular disease, but a major drawback is that the performance of POC devices does not rival that of central laboratory tests. Recently, many studies and advances have been made in the field of surface-enhanced Raman scattering (SERS), including the development of POC biosensors that utilize this detection method. Here, we present a review of the strengths and limitations of these emerging SERS-based biosensors for AMI diagnosis. The ability of SERS to multiplex sensing against existing POC detection methods are compared and discussed. Furthermore, SERS calibration-free methods that have recently been explored to minimize the inconvenience and eliminate the limitations caused by the limited linear range and interassay differences found in the calibration curves are outlined. In addition, the incorporation of artificial intelligence (AI) in SERS techniques to promote multivariate analysis and enhance diagnostic accuracy are discussed. The future prospects for SERS-based POC devices that include wearable POC SERS devices toward predictive, personalized medicine following the Fourth Industrial Revolution are proposed.
Collapse
Affiliation(s)
- Joyce Siew Yong Low
- Faculty of Science, Department of Chemistry, University of Malaya, Kuala Lumpur, Malaysia
| | - T Malathi Thevarajah
- Faculty of Medicine, Department of Pathology, University of Malaya, Kuala Lumpur, Malaysia
| | - Siow Wee Chang
- Faculty of Science, Institute of Biological Sciences, University of Malaya, Kuala Lumpur, Malaysia
| | - Boon Tong Goh
- Faculty of Science, Low Dimensional Materials Research Centre, Department of Physics, University of Malaya, Kuala Lumpur, Malaysia
| | - Sook Mei Khor
- Faculty of Science, Department of Chemistry, University of Malaya, Kuala Lumpur, Malaysia.,Faculty of Engineering, Centre for Innovation in Medical Engineering, University of Malaya, Kuala Lumpur, Malaysia
| |
Collapse
|
47
|
Abstract
Endophenotypes are measurable markers of genetic vulnerability to current or future disorder. Autism spectrum disorder (ASD) is well-suited to be examined within an endophenotype framework given past and current emphases on the broader autism phenotype and early detection. We conducted a scoping review to identify potential socially-related endophenotypes of ASD. We focused on paradigms related to sociality (e.g., theory of mind (TOM), social attention), which comprise most of this literature. We integrated findings from traditional behavioral paradigms with brain-based measures (e.g., electroencephalography, functional magnetic resonance imaging). Broadly, infant research regarding social attention and responsivity (Research Domain Criteria (RDoC) domain of affiliation) and attention to faces and voices (social communication) finds consistent abnormality in vulnerable infant siblings. Several additional paradigms that have shown differences in vulnerable infants and young children include animacy perception tasks (perception and understanding of others), measures of recognition and response to familiar faces (attachment), and joint attention and false-belief tasks (understanding mental states). Research areas such as alexithymia (the perception and understanding of self), empathic responding, and vocal prosody may hold interest; however, challenges in measurement across populations and age ranges is a limiting factor. Future work should address sex differences and age dependencies, specificity to ASD, and heterogeneous genetic pathways to disorder within samples individuals with ASD and relatives.
Collapse
|
48
|
Haines N, Beauchaine TP. Moving beyond Ordinary Factor Analysis in Studies of Personality and Personality Disorder: A Computational Modeling Perspective. Psychopathology 2020; 53:157-167. [PMID: 32663821 PMCID: PMC7529707 DOI: 10.1159/000508539] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 05/06/2020] [Indexed: 01/03/2023]
Abstract
Almost all forms of psychopathology, including personality disorders, are arrived at through complex interactions among neurobiological vulnerabilities and environmental risk factors across development. Yet despite increasing recognition of etiological complexity, psychopathology research is still dominated by searches for large main effects causes. This derives in part from reliance on traditional inferential methods, including ordinary factor analysis, regression, ANCOVA, and other techniques that use statistical partialing to isolate unique effects. In principle, some of these methods can accommodate etiological complexity, yet as typically applied they are insensitive to interactive functional dependencies (modulating effects) among etiological influences. Here, we use our developmental model of antisocial and borderline traits to illustrate challenges faced when modeling complex etiological mechanisms of psychopathology. We then consider how computational models, which are rarely used in the personality disorders literature, remedy some of these challenges when combined with hierarchical Bayesian analysis.
Collapse
Affiliation(s)
- Nathaniel Haines
- Department of Psychology, The Ohio State University, Columbus, Ohio, USA
| | | |
Collapse
|
49
|
Burns GL, Geiser C, Servera M, Becker SP, Beauchaine TP. Application of the Bifactor S - 1 Model to Multisource Ratings of ADHD/ODD Symptoms: an Appropriate Bifactor Model for Symptom Ratings. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2020; 48:881-894. [PMID: 31834589 PMCID: PMC8017439 DOI: 10.1007/s10802-019-00608-4] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The symmetrical bifactor model is often applied to attention-deficit/hyperactivity disorder (ADHD)-hyperactive/impulsive (HI), ADHD-inattentive (IN), and oppositional defiant disorder (ODD) symptoms, but this model frequently yields anomalous or inadmissible results. An alternative model, the bifactor S - 1 model, is more appropriate for examining the hierarchical structure of ADHD/ODD symptoms. Both models were applied to ADHD-HI, ADHD-IN, and ODD symptom ratings by mothers, fathers, and teachers for 2142 Spanish children (49.49% girls; ages 8-13 years). The symmetrical bifactor model yielded the typical anomalous loadings, with a weakly defined ADHD-HI specific factor and difficult to interpret associations of general and specific factors with correlates. In contrast, the bifactor S - 1 model with ADHD-HI symptoms as general reference factor produced clearly interpretable results. For mothers and fathers, slightly more than 50% of true score variance in ADHD-IN and ODD symptoms represented specific residual variance not shared with the general ADHD-HI reference factor. For teachers, approximately 69% and 39% of true score variance in ADHD-IN and ODD symptoms, respectively, represented specific residual variance not shared with the general ADHD-HI reference factor. The general ADHD-HI reference factor and specific ADHD-IN and ODD residual factors showed convergent and discriminant validity across sources, along with unique associations with peer rejection, social impairment, and academic impairment factors. The bifactor S - 1 model also yielded results consistent with predictions from trait-impulsivity theory of ADHD/ODD development. Researchers should use the bifactor S - 1 model rather than the symmetrical bifactor model if hypotheses involve the latent hierarchical structure of ADHD/ODD symptoms.
Collapse
Affiliation(s)
- G Leonard Burns
- Department of Psychology, Washington State University, Pullman, WA, 99164-4820, USA.
| | | | | | - Stephen P Becker
- Cincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, USA
| | | |
Collapse
|
50
|
Braithwaite EK, Gui A, Jones EJH. Social attention: What is it, how can we measure it, and what can it tell us about autism and ADHD? PROGRESS IN BRAIN RESEARCH 2020; 254:271-303. [PMID: 32859292 DOI: 10.1016/bs.pbr.2020.05.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Neurodevelopmental disorders like autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) affect 2-10% of children worldwide but are still poorly understood. Prospective studies of infants with an elevated familial likelihood of ASD or ADHD can provide insight into early mechanisms that canalize development down a typical or atypical course. Such work holds potential for earlier identification and intervention to support optimal outcomes in individuals with neurodevelopmental disorders. Disrupted attention may be involved in developmental trajectories to ASD and ADHD. Specifically, altered attention to social stimuli has been suggested as a possible endophenotype of ASD, lying between genetic factors impacting brain development and later symptoms. Similarly, changes in domain-general aspects of attention are commonly seen in ADHD and emerging evidence suggests these may begin in infancy. Could these patterns point to a common risk factor for both disorders? Or does social attention reflect the activity of a particular network of brain systems that is distinct to those underpinning general attention skills? One challenge to addressing such questions is our lack of understanding of the relation between social and general attention. In this chapter we review evidence from infants with later ASD and ADHD that illuminates this question.
Collapse
Affiliation(s)
- Eleanor K Braithwaite
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Anna Gui
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom.
| |
Collapse
|