Psychological Disorders in Childhood and Adolescent Age - New Classifications.

INTRODUCTION: The eleventh revision of the International Classification of Diseases (ICD-11) is planned to be published in 2018. So called, "beta version" of the chapter of mental and behavioral disorders (ICD-11) is already available and it is considered that there will be no significant deviations in the final version. The DSM-5 was released in 2013. Changes related to mental disorders in child and adolescent psychiatry have been made in both of these classifications. To identify changes in the classifications of mental disorders in childhood and adolescent age in beta version of ICD-11 and DSM-5. METHODS: Review of mental disorders in childhood and adolescent age and their classification in ICD-11 and DSM-5. RESULTS: For disorders that are classified as "mental retardation" in ICD-10, a new term "intellectual development disorders" has been introduced in ICD-11, ie "intellectual disabilities" in DSM-5. Hyperactivity disorders and attention deficit is a separate entity in relation to ICD-10, in which it is classified as a hyperkinetic disorder. Asperger's syndrome, which is isolated from autism spectrum disorders in DSM-5, does not appear under that name in ICD-11 either. Elimination disorders are in a separate block MKB-11 and DSM-5. Speech and language disorders are classified as communication disorders in the DSM-5 classification. Selective mutism and anxiety separation disorder in childhood are in the block of anxiety and fear-related disorders in ICD-11, and among anxiety disorders in DSM-5, respectively. Reactive emotional disorder and disinhibited attachment disorder of childhood are classified as stress-related disorders in ICD-11 and DSM-5. CONCLUSIONS: The new classifications (ICD-11 and DSM-5) classify mental disorders in child and adolescent psychiatry somewhat differently from their antecedents. New entities have also been formed.

Comorbidity Patterns Among Patients With Opioid Use Disorder and Problem Gambling: ADHD Status Predicts Class Membership.

Objective: Psychiatric comorbidities are highly prevalent among individuals affected by substance use disorders and those with non-substance-related addictive disorders such as gambling disorder. More recently, the frequent co-occurrence of substance use disorders and attention-deficit hyperactivity disorder (ADHD) has received particular attention. The aim of our study was to identify patterns of psychiatric comorbidity and to examine associations between patient group and ADHD status with class membership. Methods: Participants were patients with opioid use disorder enrolled in opioid maintenance treatment (OMT), either recruited from the community (n = 142; M age = 35.8 years; 38.7% female) or prison (n = 133; M age = 35.7 years; 21.8% female), and patients undergoing treatment for problem gambling (PrG; n = 80; M age = 43.1 years; 20% female). To enable direct comparisons, the following instruments were applied: Mini International Neuropsychiatric Interview, Adult ADHD self-report scale, Wender Utah Rating Scale, and European Addiction Severity Index. We used a latent class analysis (LCA) to identify psychiatric comorbidity patterns and a multinomial logistic regression to examine associations between patient group, ADHD status, age, and gender with class membership. Results: The LCA resulted in a three-class solution: (1) a class of individuals with a relatively low probability of current psychiatric comorbidities, except for a high probability of substance use disorders; (2) a class with markedly increased probabilities of current and recurrent psychiatric comorbidities, especially for major depression; and (3) a class with very low probabilities of psychiatric comorbidities, except for moderate probabilities of substance use disorders and antisocial personality disorder. Both OMT patients recruited from the community and those in prison were less likely than PrG patients to be assigned to the most burdened class with respect to psychiatric comorbidity (class 2). Further, both individuals with ADHD in childhood and those with adult ADHD were more likely members of class 2. Conclusions: PrG patients seem to be at an even higher risk for psychiatric comorbidities compared to OMT patients. Raising awareness among practitioners for the high prevalence of psychiatric comorbidities among patients with gambling disorder and individuals with ADHD is crucial to initiate adequate treatment and to improve response.

Should We Subtype ADHD According to the Context in Which Symptoms Occur? Criterion Validity of Recognising Context-Based ADHD Presentations.

ADHD symptoms show considerable individual variation in the contexts in which they are expressed. It has previously been proposed that subtyping individuals according to the contexts in which symptoms are expressed may be clinically useful. We examined context-based patterns of ADHD symptoms in a longitudinal cohort study of n = 1388 children, as well as context-specific and context-general predictors of symptoms. Participants were community-ascertained and provided ADHD symptom data at ages 7, 9, and 11. Using growth mixture modelling we identified five inattention and five hyperactivity/impulsivity categories that differed in the developmental patterns of symptoms reported by parent and teacher informants. We found some evidence that context-specific predictors were related to context-specific expressions. Specifically, after controlling for other risk factors for ADHD symptoms, relationships with teachers predicted school-specific (teacher-reported) but not home-specific (parent-reported) symptom levels. However, no subtypes defined by exclusively home-based symptoms emerged, suggesting that while symptoms may sometimes be specific to the school context, they are only rarely confined to the home context. Subtyping by context could be informative; however, further work will required to uncover the nature of any etiological, functional, or outcome differences between those who show symptom expression in different contexts.

[Treatment of attention-deficit/hyperactivity disorder in clinical practice. A retrospective study]. / Tratamiento del trastorno por déficit de atención con hiperactividad en la práctica clínica habitual. Estudio retrospectivo.

Attention deficit hyperactivity disorder (ADHD) is a complex and heterogeneous neurodevelopmental disorder, of a chronic nature, of multifactorial etiology, mainly due to genetic and environmental factors. We conducted a retrospective analytical study of the t herapeutic management of children diagnosed with ADHD. A sample of 82 children diagnosed with ADHD (74.4% children and 25.6% girls) was studied. 96.3% of the cases presented some associated disorder. Pharmacological treatment was the treatment of choice (90.2%). 46.0% received immediate release methylphenidate, 51.4% sustained release methylphenidate and atomoxetine was only prescribed in 2.7% of patients. 20.3% of the sample abandoned pharmacological treatment at some point. Pharmacological treatment was the most frequent option in our sample, and methylphenidate immediate release the drug of choice for treatment initiation. The alternatives to stimulants are used in very low percentage of the patient. No significant differences were found between the type of treatment regarding the subtype of ADHD or gender, but we found significant difference in relation with the age of onset of treatment.

El trastorno por déficit de atención e hiperactividad (TDAH) es un trastorno del neurodesarrollo complejo y heterogéneo, de carácter crónico, de etiología multifactorial, principalmente debida a factores genéticos y ambientales. Realizamos un estudio analítico retrospectivo del tratamiento de niños diagnosticados de TDAH. Se estudió una muestra de 82 niños diagnosticados de TDAH (74.4% niños y 25.6% niñas). El 96.3% de los casos presentaba algún trastorno asociado. El tratamiento farmacológico fue el tratamiento de elección (90.2%). El 46.0% recibía metilfenidato de liberación inmediata, un 51.4% metilfenidato de liberación sostenida y la atomoxetina solo se recetó en un 2.7% de los casos. El 20.3% de la muestra abandonó en algún momento el tratamiento farmacológico. El tratamiento farmacológico fue la opción más utilizada en nuestra muestra, y el metilfenidato de liberación inmediata el fármaco de elección para inicio del tratamiento. Se utilizan poco las alternativas a los estimulantes. No se encontraron diferencias significativas entre el tipo de tratamiento y el subtipo de TDAH o el género, aunque sí en cuanto a la edad de inicio del tratamiento.

Are there distinct cognitive and motivational sub-groups of children with ADHD?

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is proposed to be a neuropsychologically heterogeneous disorder that encompasses two distinct sub-groups, one with executive function (EF) deficits and one with delay aversion (DA). However, such claims have often been based on studies that have operationalized neuropsychological deficits using a categorical approach - using intuitive but rather arbitrary, clinical cut-offs. The current study applied an alternative empirical approach to sub-grouping in ADHD, latent profile analysis (LPA), and attempted to validate emerging subgroups through clinically relevant correlates. METHODS: One-hundred medication-naïve children with ADHD and 96 typically developing children (6-14 years) completed nine EF and three DA tasks as well as an odor identification test. Parents and teachers provided reports of the children's behavior (ADHD and EF). Models of the latent structure of scores on EF and DA tests were contrasted using confirmatory factor analysis (CFA). LPA was carried out based on factor scores from the CFA and sub-groups were compared in terms of odor identification and behavior. RESULTS: A model with one DA and two EF factors best fit the data. LPA resulted in four sub-groups that differed in terms of general level of neuropsychological performance (ranging from high to very low), odor identification, and behavior. The sub-groups did not differ in terms of the relative EF and DA performance. Results in the ADHD group were replicated in the control group. CONCLUSIONS: While EF and DA appear to be dissociable constructs; they do not yield distinct sub-groups when sub-grouping is based on a statistical approach such as LPA.

Brain-behavior patterns define a dimensional biotype in medication-naïve adults with attention-deficit hyperactivity disorder.

BACKGROUND: Childhood-onset attention-deficit hyperactivity disorder (ADHD) in adults is clinically heterogeneous and commonly presents with different patterns of cognitive deficits. It is unclear if this clinical heterogeneity expresses a dimensional or categorical difference in ADHD. METHODS: We first studied differences in functional connectivity in multi-echo resting-state functional magnetic resonance imaging (rs-fMRI) acquired from 80 medication-naïve adults with ADHD and 123 matched healthy controls. We then used canonical correlation analysis (CCA) to identify latent relationships between symptoms and patterns of altered functional connectivity (dimensional biotype) in patients. Clustering methods were implemented to test if the individual associations between resting-state brain connectivity and symptoms reflected a non-overlapping categorical biotype. RESULTS: Adults with ADHD showed stronger functional connectivity compared to healthy controls, predominantly between the default-mode, cingulo-opercular and subcortical networks. CCA identified a single mode of brain-symptom co-variation, corresponding to an ADHD dimensional biotype. This dimensional biotype is characterized by a unique combination of altered connectivity correlating with symptoms of hyperactivity-impulsivity, inattention, and intelligence. Clustering analyses did not support the existence of distinct categorical biotypes of adult ADHD. CONCLUSIONS: Overall, our data advance a novel finding that the reduced functional segregation between default-mode and cognitive control networks supports a clinically important dimensional biotype of childhood-onset adult ADHD. Despite the heterogeneity of its presentation, our work suggests that childhood-onset adult ADHD is a single disorder characterized by dimensional brain-symptom mediators.

Parsing heterogeneity in attention-deficit hyperactivity disorder using EEG-based subgroups.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous condition for which multiple efforts to characterize brain state differences are underway. The objective of this study was to identify distinct subgroups of resting electroencephalography (EEG) profiles among children with and without ADHD and subsequently provide extensive clinical characterization of the subgroups. METHODS: Latent class analysis was used with resting state EEG recorded from a large sample of 781 children with and without ADHD (N = 620 ADHD, N = 161 Control), aged 6-18 years old. Behavioral and cognitive characteristics of the latent classes were derived from semistructured diagnostic interviews, parent completed behavior rating scales, and cognitive test performance. RESULTS: A five-class solution was the best fit for the data, of which four classes had a defining spectral power elevation. The distribution of ADHD and control subjects was similar across classes suggesting there is no one resting state EEG profile for children with or without ADHD. Specific latent classes demonstrated distinct behavioral and cognitive profiles. Those with elevated slow-wave activity (i.e. delta and theta band) had higher levels of externalizing behaviors and cognitive deficits. Latent subgroups with elevated alpha and beta power had higher levels of internalizing behaviors, emotion dysregulation, and intact cognitive functioning. CONCLUSIONS: There is population-level heterogeneity in resting state EEG subgroups, which are associated with distinct behavioral and cognitive profiles. EEG measures may be more useful biomarkers of ADHD outcome or treatment response rather than diagnosis.

Classification of ADHD with bi-objective optimization.

Attention Deficit Hyperactive Disorder (ADHD) is one of the most common diseases in school aged children. In this paper, we consider using fMRI data with classification techniques to aid the diagnosis of ADHD and propose a bi-objective ADHD classification scheme based on L1-norm support vector machine (SVM). In our classification model, two objectives, namely, the margin of separation and the empirical error are considered at the same time. Then the normal boundary intersection (NBI) method of Das and Dennis is used to solve the bi-objective optimization problem. A representative nondominated set which reflects the entire trade-off information between the two objectives is obtained. Each representative nondominated point in the set corresponds to an efficient classifier. Finally a decision maker can choose a final efficient classifier from the set according to the performance of each classifier. Our scheme avoids the trial and error process for regularization hyper-parameter selection. Experimental results show that our bi-objective optimization classification scheme for ADHD diagnosis performs considerably better than some traditional classification methods.

International Classification of Functioning, Disability and Health Core Sets for cerebral palsy, autism spectrum disorder, and attention-deficit-hyperactivity disorder.

AIM: Capturing functional information is crucial in childhood disability. The International Classification of Functioning, Disability and Health (ICF) Core Sets promote assessments of functional abilities and disabilities in clinical practice regarding circumscribed diagnoses. However, the specificity of ICF Core Sets for childhood-onset disabilities has been doubted. This study aimed to identify content commonalities and differences among the ICF Core Sets for cerebral palsy (CP), and the newly developed Core Sets for autism spectrum disorder (ASD) and attention-deficit-hyperactivity disorder (ADHD). METHOD: The categories within each Core Set were aggregated at the ICF component and chapter levels. Content comparison was conducted using descriptive analyses. RESULTS: The activities and participation component of the ICF was the most covered across all Core Sets. Main differences included representation of ICF components and coverage of ICF chapters within each component. CP included all ICF components, while ADHD and ASD predominantly focused on activities and participation. Environmental factors were highly represented in the ADHD Core Sets (40.5%) compared to the ASD (28%) and CP (27%) Core Sets. INTERPRETATION: International Classification of Functioning, Disability and Health Core Sets for CP, ASD, and ADHD capture both common but also unique functional information, showing the importance of creating condition-specific, ICF-based tools to build functional profiles of individuals with childhood-onset disabilities. WHAT THIS PAPER ADDS: The International Classification of Functioning, Disability and Health (ICF) Core Sets for cerebral palsy (CP), autism spectrum disorder (ASD), and attention-deficit-hyperactivity disorder (ADHD) include unique functional information. The ICF-based tools for CP, ASD, and ADHD differ in terms of representation and coverage of ICF components and ICF chapters. Representation of environmental factors uniquely influences functioning and disability across ICF Core Sets for CP, ASD and ADHD.

Maternal ratings of ODD symptoms: Subtypes versus severity in a general community sample of children.

BACKGROUND AND AIMS: Oppositional Defiant Disorder (ODD) is a common childhood disorder (American Psychiatric Association [APA], 2000; APA, 2013). The aim of the present study was to ascertain the optimal structure for the ODD symptoms by identifying whether ODD is a qualitatively distinct entity (categorical) or is a continuum, with high levels on this continuum reflecting ODD (quantitative or dimensional view). METHODS: Mothers' ratings of the ODD symptoms of 457 children, aged 3 to 15years, as presented in the disruptive behavior rating scale were obtained. Confirmatory factor analysis (CFA), latent class analysis (LCA), and factor mixture modelling (FMM) were applied to determine the best model for oppositional defiant disorder (ODD) symptoms in children. RESULTS: The findings provided most support for a FMM with 3 classes (unaffected odd class, at risk class, and affected class) and 3 factors (oppositional, antagonistic, and negative affect). CONCLUSION: The findings are discussed in relation to dimensional, categorical, and hybrid (categorical/dimensional) models of ODD symptoms.

Identification of neurophysiological biotypes in attention deficit hyperactivity disorder.

AIM: Findings on neurophysiological alterations in attention deficit hyperactivity disorder (ADHD) have been proposed to underlie ADHD symptoms, with different etiological pathways for different patient biotypes. We aimed at determining whether neurophysiological deviations confirm distinct neurophysiological profiles in ADHD, thus providing direct evidence for the endophenotype concept. METHODS: Neurophysiological biotypes were investigated in 87 adult patients with ADHD using cluster analysis. Parameters fed into the analysis comprised both hemodynamic and electrophysiological data. To validate results, the independent variables of the clusters were compared with healthy controls. RESULTS: Cluster analysis yielded three neurophysiologically based ADHD biotypes showing: (i) above-average functioning in attention allocation; (ii) difficulties in attention allocation and inhibitory control but elevated frontal activation during a working memory task; and (iii) functional impairments in state regulation. CONCLUSION: Classifying patients with ADHD into neurophysiological biotypes sheds light on etiological pathways, with implications for diagnostics and (individualized) treatment options.

Attention profiles in autism spectrum disorder and subtypes of attention-deficit/hyperactivity disorder.

Attention problems are observed in attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Most neuropsychological studies that compared both disorders focused on complex executive functions (EF), but missed to contrast basic attention functions, as well as ASD- and ADHD subtypes. The present study compared EF as well as basic attention functioning of children with the combined subtype (ADHD-C), the predominantly inattentive subtype (ADHD-I), and autism spectrum disorder without ADHD (ASD-) with typically developing controls (TD). Basic attention functions and EF profiles were analysed by testing the comprehensive attention function model of van Zomeren and Brouwer using profile analysis. Additionally, neurocognitive impairments in ASD- and ADHD were regressed on dimensional measures of attention- and hyperactive-impulsive symptoms across and within groups. ADHD-C revealed a strong impairment across measures of EF compared to ASD- and TD. The ADHD-C profile furthermore showed disorder specific impairments in interference control, whereas the ASD- profile showed a disorder specific impairment in basic attention component divided attention. Attention- and hyperactive-impulsive symptom severity did not predict neurocognitive impairments across- or within groups. Study findings thus support disorder and subtype specific attention/EF profiles, which refute the idea of a continuum of ADHD-I, ADHD-C, and ASD with increasing neurocognitive impairments.

Investigation of attention deficit hyperactivity disorder (ADHD) sub-types in children via EEG frequency domain analysis.

AIM OF THE STUDY: To investigate the frequency domain effects and changes in electroencephalography (EEG) signals in children diagnosed with attention deficit hyperactivity disorder (ADHD). PATIENTS AND METHODS: The study contains 40 children. All children were between the ages of 7 and 12 years. Participants were classified into four groups which were ADHD (n=20), ADHD-I (ADHD-Inattentive type) (n=10), ADHD-C (ADHD-Combined type) (n=10), and control (n=20) groups. In this study, the frequency domain of EEG signals for ADHD, subtypes and control groups were analyzed and compared using Matlab software. The mean age of the ADHD children's group was 8.7 years and the control group 9.1 years. RESULTS: Spectral analysis of mean power (µV2) and relative-mean power (%) was carried out for four different frequency bands: delta (0--4 Hz), theta (4--8 Hz), alpha (8--13 Hz) and beta (13--32 Hz). The ADHD and subtypes of ADHD-I, and ADHD-C groups had higher average power value of delta and theta band than that of control group. However, this is not the case for alpha and beta bands. Increases in delta/beta ratio and statistical significance were found only between ADHD-I and control group, and in delta/beta, theta/delta ratio statistical significance values were found to exist between ADHD-C and control group. CONCLUSION: EEG analyzes can be used as an alternative method when ADHD subgroups are identified.

Attention-deficit/hyperactivity disorder symptom clusters differentially predict prenatal health behaviors in pregnant women.

OBJECTIVE: To date, most investigations of mental health in pregnant women have focused on depression or substance use. This study aimed to (a) delineate the relationships between symptoms of attention-deficit/hyperactivity disorder (ADHD) and prenatal health behaviors and (b) explore whether the symptom clusters of ADHD differentially predict prenatal health behaviors (e.g., physical strain, healthy eating, prenatal vitamin use). METHOD: A total of 198 pregnant women (mean age = 27.94 years) completed measures of ADHD symptoms, prenatal health behaviors, and depression. RESULTS: Inattention, hyperactivity, and impulsivity/emotional lability all evidenced significant relationships with the prenatal health behaviors, each differentially predicting different prenatal health behaviors. CONCLUSION: As decreased engagement in adequate prenatal health behaviors puts both the mother and fetus at risk for negative birth outcomes, future research should work to develop a brief ADHD screen to be used in obstetric clinics and should investigate these relationships within a sample of women with a diagnosis of ADHD.

[Wender-Reimherr self-report questionnaire on adult ADHD : German version]. / Der Wender-Reimherr-Selbstbeurteilungsfragebogen zur adulten ADHS : Deutsche Version.

BACKGROUND: The Wender-Reimherr adult attention deficit disorder scale (WRAADDS) is an internationally accepted attention-deficit hyperactivity disorder (ADHD) interview with an authorized German translation. The WRAADS not only assesses the symptoms of ADHD but also the severity of the symptoms using the Utah criteria. With the aim of economizing the diagnostic process the original English version of the Wender-Reimherr self-report questionnaire was translated into German (WR-SB) in order to evaluate the test psychometric properties. OBJECTIVES: To explore the psychometric properties of the WR-SB within a classical test theory framework. MATERIAL AND METHODS: The psychometric properties of the WR-SB were determined in a population of 122 adult ADHD patients and 79 healthy controls. RESULTS: For the individual WR-SB subscales the results showed an adequate discriminatory power and a high internal consistency. The correlation between the WRAADS and the WR-SB was significant and the retest reliability was high. CONCLUSION: The WR-SB is a brief, self-report instrument and an economical alternative to assess adult ADHD symptomatology using the Utah criteria. The results of this evaluation study showed the WR-SB to be a valid and reliable measurement for both clinical and research purposes.

[Noninvasive cerebral stimulation for treatment of ADHD: A review of the literature]. / Stimulation cérébrale non invasive dans le traitement du trouble déficit de l'attention avec ou sans hyperactivité : une revue de la littérature.

OBJECTIVES: The aim of this review is to summarize the available data in the literature about the therapeutic applications of transcranial magnetic stimulation and transcranial direct current stimulation in attention-deficit hyperactivity disorder (ADHD). METHOD: The scientific literature search of international articles was performed in February 2016 using the PubMed electronic database. The following MeSH terms were employed: "attention-deficit disorder with hyperactivity" AND "transcranial magnetic stimulation", "attention-deficit disorder with hyperactivity" AND "transcranial direct current stimulation". RESULTS: Five studies were retained by the literature search and were included in the review about rTMS and ADHD. Except for one study, they all showed significant positive effects of rTMS on ADHD. Four studies were retained by the literature search and were included in the review about tDCS and ADHD. Three of them showed significant positive effects of tDCS on ADHD. Two of them used tDCS during sleep at a frequency<1Hz. Only low-level evidences are available to support treatment with rTMS or tDCS in patients with ADHD. Indeed, randomized controlled trials are rare in this field of research. CONCLUSION: Additional studies are needed to confirm the efficacy of rTMS and tDCS in ADHD. rTMS could be used as an alternative therapy when methylphenidate is not well tolerated or shows an insufficient efficacy. Nevertheless, the optimal target, frequency and duration remain to be determined. tDCS can modulate attention in healthy subjects but data are insufficient in ADHD to conclude. It could be interesting to study its use in association with cognitive remediation to enhance its cognitive efficacy.

Specific cognitive-neurophysiological processes predict impulsivity in the childhood attention-deficit/hyperactivity disorder combined subtype.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is one of the most prevalent neuropsychiatric disorders in childhood. Besides inattention and hyperactivity, impulsivity is the third core symptom leading to diverse and serious problems. However, the neuronal mechanisms underlying impulsivity in ADHD are still not fully understood. This is all the more the case when patients with the ADHD combined subtype (ADHD-C) are considered who are characterized by both symptoms of inattention and hyperactivity/impulsivity. METHOD: Combining high-density electroencephalography (EEG) recordings with source localization analyses, we examined what information processing stages are dysfunctional in ADHD-C (n = 20) compared with controls (n = 18). RESULTS: Patients with ADHD-C made more impulsive errors in a Go/No-go task than healthy controls. Neurophysiologically, different subprocesses from perceptual gating to attentional selection, resource allocation and response selection processes are altered in this patient group. Perceptual gating, stimulus-driven attention selection and resource allocation processes were more pronounced in ADHD-C, are related to activation differences in parieto-occipital networks and suggest attentional filtering deficits. However, only response selection processes, associated with medial prefrontal networks, predicted impulsive errors in ADHD-C. CONCLUSIONS: Although the clinical picture of ADHD-C is complex and a multitude of processing steps are altered, only a subset of processes seems to directly modulate impulsive behaviour. The present findings improve the understanding of mechanisms underlying impulsivity in patients with ADHD-C and might help to refine treatment algorithms focusing on impulsivity.

Connectivity Analysis and Feature Classification in Attention Deficit Hyperactivity Disorder Sub-Types: A Task Functional Magnetic Resonance Imaging Study.

Attention deficit hyperactivity disorder (ADHD) is a pervasive neuropsychiatric disorder. Patients with different ADHD subtypes show different behaviors under different stimuli and thus might require differential approaches to treatment. This study explores connectivity differences between ADHD subtypes and attempts to classify these subtypes based on neuroimaging features. A total of 34 patients (13 ADHD-IA and 21 ADHD-C subtypes) underwent functional magnetic resonance imaging (fMRI) with six task paradigms. Connectivity differences between ADHD subtypes were assessed for the whole brain in each task paradigm. Connectivity measures of the identified regions were used as features for the support vector machine classifier to distinguish between ADHD subtypes. The effectiveness of connectivity measures of the regions were tested by predicting ADHD-related Diagnostic and Statistical Manual of Mental Disorders (DSM) scores. Significant connectivity differences between ADHD subtypes were identified mainly in the frontal, cingulate, and parietal cortices and partially in the temporal, occipital cortices and cerebellum. Classifier accuracy for distinguishing between ADHD subtypes was 91.18 % for both gambling punishment and emotion task paradigms. Linear prediction under the two task paradigms showed significant correlation with DSM hyperactive/impulsive score. Our study identified important brain regions from connectivity analysis based on an fMRI paradigm using gambling punishment and emotion task paradigms. The regions and associated connectivity measures could serve as features to distinguish between ADHD subtypes.

Neurodevelopmental Disorders (ASD and ADHD): DSM-5, ICD-10, and ICD-11.

Neurodevelopmental disorders, specifically autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) have undergone considerable diagnostic evolution in the past decade. In the United States, the current system in place is the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), whereas worldwide, the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) serves as a general medical system. This review will examine the differences in neurodevelopmental disorders between these two systems. First, we will review the important revisions made from the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) to the DSM-5, with respect to ASD and ADHD. Next, we will cover the similarities and differences between ASD and ADHD classification in the DSM-5 and the ICD-10, and how these differences may have an effect on neurodevelopmental disorder diagnostics and classification. By examining the changes made for the DSM-5 in 2013, and critiquing the current ICD-10 system, we can help to anticipate and advise on the upcoming ICD-11, due to come online in 2017. Overall, this review serves to highlight the importance of progress towards complementary diagnostic classification systems, keeping in mind the difference in tradition and purpose of the DSM and the ICD, and that these systems are dynamic and changing as more is learned about neurodevelopmental disorders and their underlying etiology. Finally this review will discuss alternative diagnostic approaches, such as the Research Domain Criteria (RDoC) initiative, which links symptom domains to underlying biological and neurological mechanisms. The incorporation of new diagnostic directions could have a great effect on treatment development and insurance coverage for neurodevelopmental disorders worldwide.

Iron Deficiency Parameters in Children and Adolescents with Attention-Deficit/Hyperactivity Disorder.

The aim of this study is to compare iron deficiency parameters in patients with stimulant-naive attention-deficit/hyperactivity disorder (ADHD) and healthy controls, to investigate whether there are differences among the ADHD presentations, and to evaluate the relationship between ADHD symptom severity and serum ferritin levels. In addition, ADHD-Predominantly Inattentive (ADHD-PI) patients with restrictive hyperactivity/impulsivity symptoms were evaluated as a separate group with "restrictive inattention presentation" (ADHD-Rest) and were compared with other groups. Patients with ADHD-Rest are typically defined as having six or more symptoms of inattention and fewer than three symptoms of hyperactivity/impulsivity. A total of 200 ADHD cases consisting of 100 ADHD-Combine (ADHD-C) and 100 ADHD-PI and a total of 100 healthy control cases were included in the study. The Schedule for Affective Disorders and Schizophrenia for School Age Children-Present and Lifetime Version was performed in a semi-structured interview during the diagnosis. The Turgay DSM-IV-Based Child and Adolescent Behavior Disorders Screening and Rating Scale, the Conners' Rating Scale-Revised: Long Form (Parent-Teacher) (CPRSR:L, CTRS-R:L) were used for clinical evaluation. Hemogram, serum iron, iron binding capacity and serum ferritin levels were assessed. There were no significant differences between the ADHD patients and the healthy control cases in terms of iron deficiency parameters. Further, there were no significant differences among the ADHD presentations in terms of the same parameters, nor were there any significant differences when the groups were examined after the identification of the ADHD-Rest. The CPRS-R:L Hyperactivity and the CTRS-R:L Hyperactivity scores were negatively correlated with serum ferritin level in the ADHD group. To our knowledge, our current study is the first to compare serum ferritin levels in ADHD-Rest with other presentations of ADHD, and included the largest number of patients that were classified by ADHD presentations. Elucidation of these findings is important for both the etiology and treatment of ADHD.