Gray matter volume associations in youth with ADHD features of inattention and hyperactivity/impulsivity

BACKGROUND

Prior research has shown smaller cortical and subcortical gray matter volumes among individuals with attention-deficit/hyperactivity disorder (ADHD). However, neuroimaging studies often do not differentiate between inattention and hyperactivity/impulsivity, which are distinct core features of ADHD. The present study uses an approach to disentangle overlapping variance to examine the neurostructural heterogeneity of inattention and hyperactivity/impulsivity dimensions.

METHODS

We analyzed data from 10,692 9- to 10-year-old children from the Adolescent Brain Cognitive Development (ABCD) Study. Confirmatory factor analysis was used to derive factors representing inattentive and hyperactive/impulsive traits. We employed structural equation modeling to examine these factors' associations with gray matter volume while controlling for the shared variance between factors.

RESULTS

Greater endorsement of inattentive traits was associated with smaller bilateral caudal anterior cingulate and left parahippocampal volumes. Greater endorsement of hyperactivity/impulsivity traits was associated with smaller bilateral caudate and left parahippocampal volumes. The results were similar when accounting for socioeconomic status, medication, and in-scanner motion. The magnitude of these findings increased when accounting for overall volume and intracranial volume, supporting a focal effect in our results.

CONCLUSIONS

Inattentive and hyperactivity/impulsivity traits show common volume deficits in regions associated with visuospatial processing and memory while at the same time showing dissociable differences, with inattention showing differences in areas associated with attention and emotion regulation and hyperactivity/impulsivity associated with volume differences in motor activity regions. Uncovering such biological underpinnings within the broader disorder of ADHD allows us to refine our understanding of ADHD presentations.

Mapping potential pathways from polygenic liability through brain structure to psychological problems across the transition to adolescence

BACKGROUND

We used a polygenic score for externalizing behavior (extPGS) and structural MRI to examine potential pathways from genetic liability to conduct problems via the brain across the adolescent transition.

METHODS

Three annual assessments of child conduct problems, attention-deficit/hyperactivity problems, and internalizing problems were conducted across across 9-13 years of age among 4,475 children of European ancestry in the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®).

RESULTS

The extPGS predicted conduct problems in each wave (R2  = 2.0%-2.9%). Bifactor models revealed that the extPRS predicted variance specific to conduct problems (R2  = 1.7%-2.1%), but also variance that conduct problems shared with other measured problems (R2  = .8%-1.4%). Longitudinally, extPGS predicted levels of specific conduct problems (R2  = 2.0%), but not their slope of change across age. The extPGS was associated with total gray matter volume (TGMV; R2  = .4%) and lower TGMV predicted both specific conduct problems (R2  = 1.7%-2.1%) and the variance common to all problems in each wave (R2  = 1.6%-3.1%). A modest proportion of the polygenic liability specific to conduct problems in each wave was statistically mediated by TGMV.

CONCLUSIONS

Across the adolescent transition, the extPGS predicted both variance specific to conduct problems and variance shared by all measured problems. The extPGS also was associated with TGMV, which robustly predicted conduct problems. Statistical mediation analyses suggested the hypothesis that polygenic variation influences individual differences in brain development that are related to the likelihood of conduct problems during the adolescent transition, justifying new research to test this causal hypothesis.

Multivariate analytical approaches for investigating brain-behavior relationships

Background

Many studies of brain-behavior relationships rely on univariate approaches where each variable of interest is tested independently, which does not allow for the simultaneous investigation of multiple correlated variables. Alternatively, multivariate approaches allow for examining relationships between psychopathology and neural substrates simultaneously. There are multiple multivariate methods to choose from that each have assumptions which can affect the results; however, many studies employ one method without a clear justification for its selection. Additionally, there are few studies illustrating how differences between methods manifest in examining brain-behavior relationships. The purpose of this study was to exemplify how the choice of multivariate approach can change brain-behavior interpretations.

Method

We used data from 9,027 9- to 10-year-old children from the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®) to examine brain-behavior relationships with three commonly used multivariate approaches: canonical correlation analysis (CCA), partial least squares correlation (PLSC), and partial least squares regression (PLSR). We examined the associations between psychopathology dimensions including general psychopathology, attention-deficit/hyperactivity symptoms, conduct problems, and internalizing symptoms with regional brain volumes.

Results

The results of CCA, PLSC, and PLSR showed both consistencies and differences in the relationship between psychopathology symptoms and brain structure. The leading significant component yielded by each method demonstrated similar patterns of associations between regional brain volumes and psychopathology symptoms. However, the additional significant components yielded by each method demonstrated differential brain-behavior patterns that were not consistent across methods.

Conclusion

Here we show that CCA, PLSC, and PLSR yield slightly different interpretations regarding the relationship between child psychopathology and brain volume. In demonstrating the divergence between these approaches, we exemplify the importance of carefully considering the method's underlying assumptions when choosing a multivariate approach to delineate brain-behavior relationships.

Atypical Functional Network Properties and Associated Dimensions of Child Psychopathology During Rest and Task Performance

Background

When brain networks deviate from typical development, this is thought to contribute to varying forms of psychopathology. However, research has been limited by the reliance on discrete diagnostic categories that overlook the potential for psychological comorbidity and the dimensional nature of symptoms.

Methods

This study examined the topology of functional networks in association with 4 bifactor-defined psychopathology dimensions-general psychopathology, internalizing symptoms, conduct problems, and attention-deficit/hyperactivity disorder symptoms-via the Child Behavior Checklist in a sample of 3568 children from the ABCD (Adolescent Brain Cognitive Development) Study. Local and global graph theory metrics were calculated at rest and during tasks of reward processing, inhibition, and working memory.

Results

Greater attention-deficit/hyperactivity disorder symptoms were associated with reduced modularity across rest and tasks as well as reduced local efficiency in motor networks at rest. Results survived sensitivity analyses for medication and socioeconomic status. Greater conduct problem symptoms were associated with reduced modularity on working memory and reward processing tasks; however, these results did not persist after sensitivity analyses. General psychopathology and internalizing symptoms showed no significant network associations.

Conclusions

Our findings suggest reduced efficiency in topology in those with greater attention-deficit/hyperactivity disorder symptoms across 4 critical cognitive states, with conduct problems also showing network deficits, although less consistently. This may suggest that modularity deficits are a neurobiological marker of externalizing behavior in children. Such specificity has not been demonstrated before using graph theory metrics and has the potential to redefine our understanding of network deficits in children with psychopathology symptoms.

General and Specific Factors of Environmental Stress and Their Associations With Brain Structure and Dimensions of Psychopathology

Background

Early-life stressors can adversely affect the developing brain. While hierarchical modeling has established the existence of a general factor of psychopathology, no studies have modeled a general factor of environmental stress and related this factor to brain development. Using a large sample of children from the ABCD (Adolescent Brain Cognitive Development) Study, the current study aimed to identify general and specific factors of environmental stress and test their associations with brain structure and psychopathology.

Methods

In a sample of 11,878 children, bifactor modeling and higher-order (second-order) modeling identified general and specific factors of environmental stress: family dynamics, interpersonal support, neighborhood socioeconomic status deprivation, and urbanicity. Structural equation modeling was performed to examine associations between these factors and regional gray matter volume (GMV) and cortical thickness as well as general and specific factors of psychopathology.

Results

The general environmental stress factor was associated with globally smaller cortical and subcortical GMV as well as thinner cortices across widespread regions. Family dynamics and neighborhood socioeconomic status deprivation were associated with smaller GMV in focal regions. Urbanicity was associated with larger cortical and subcortical GMV and thicker cortices in frontotemporal regions. The environmental factors were associated with psychopathology in the expected directions. The general factors of environmental stress and psychopathology were both predictors of smaller GMV in children, while remaining distinct from each other.

Conclusions

This study reveals a unifying model of environmental influences that illustrates the inherent organization of environmental stressors and their relationship to brain structure and psychopathology.

The association between latent trauma and brain structure in children

The developing brain is marked by high plasticity, which can lead to vulnerability to early life stressors. Previous studies indicate that childhood maltreatment is associated with structural aberrations across a number of brain regions. However, prior work is limited by small sample sizes, heterogeneous age groups, the examination of one structure in isolation, the confounding of different types of early life stressors, and not accounting for socioeconomic status. These limitations may contribute to high variability across studies. The present study aimed to investigate how trauma is specifically associated with cortical thickness and gray matter volume (GMV) differences by leveraging a large sample of children (N = 9270) from the Adolescent Brain Cognitive Development^SM Study (ABCD Study^®). A latent measure of trauma exposure was derived from DSM-5 traumatic events, and we related this measure of trauma to the brain using structural equation modeling. Trauma exposure was associated with thinner cortices in the bilateral superior frontal gyri and right caudal middle frontal gyrus (p_fdr-values < .001) as well as thicker cortices in the left isthmus cingulate and posterior cingulate (p_fdr-values ≤ .027), after controlling age, sex, and race/ethnicity. Furthermore, trauma exposure was associated with smaller GMV in the right amygdala and right putamen (p_fdr-values ≤ .048). Sensitivity analyses that controlled for income and parental education were largely consistent with the main findings for cortical thickness. These results suggest that trauma may be an important risk factor for structural aberrations, specifically for cortical thickness differences in frontal and cingulate regions in children.

Correction to Moore et al. (2020)

Reports an error in "Criterion validity and relationships between alternative hierarchical dimensional models of general and specific psychopathology" by Tyler M. Moore, Antonia N. Kaczkurkin, E. Leighton Durham, Hee Jung Jeong, Malerie G. McDowell, Randolph M. Dupont, Brooks Applegate, Jennifer L. Tackett, Carlos Cardenas-Iniguez, Omid Kardan, Gaby N. Akcelik, Andrew J. Stier, Monica D. Rosenberg, Donald Hedeker, Marc G. Berman and Benjamin B. Lahey (Journal of Abnormal Psychology, Advanced Online Publication, Jul 16, 2020, np). In the article (http://dx.doi.org/10.1037/abn0000601), an acknowledgment is missing from the author note. The missing acknowledgement is included in the erratum. (The following abstract of the original article appeared in record 2020-50590-001.) Psychopathology can be viewed as a hierarchy of correlated dimensions. Many studies have supported this conceptualization, but they have used alternative statistical models with differing interpretations. In bifactor models, every symptom loads on both the general factor and 1 specific factor (e.g., internalizing), which partitions the total explained variance in each symptom between these orthogonal factors. In second-order models, symptoms load on one of several correlated lower-order factors. These lower-order factors load on a second-order general factor, which is defined by the variance shared by the lower-order factors. Thus, the factors in second-order models are not orthogonal. Choosing between these valid statistical models depends on the hypothesis being tested. Because bifactor models define orthogonal phenotypes with distinct sources of variance, they are optimal for studies of shared and unique associations of the dimensions of psychopathology with external variables putatively relevant to etiology and mechanisms. Concerns have been raised, however, about the reliability of the orthogonal specific factors in bifactor models. We evaluated this concern using parent symptom ratings of 9-10 year olds in the ABCD Study. Psychometric indices indicated that all factors in both bifactor and second-order models exhibited at least adequate construct reliability and estimated replicability. The factors defined in bifactor and second-order models were highly to moderately correlated across models, but have different interpretations. All factors in both models demonstrated significant associations with external criterion variables of theoretical and clinical importance, but the interpretation of such associations in second-order models was ambiguous due to shared variance among factors. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Criterion validity and relationships between alternative hierarchical dimensional models of general and specific psychopathology

[Correction Notice: An Erratum for this article was reported in Vol 129(7) of Journal of Abnormal Psychology (see record 2020-72912-001). In the article (http://dx.doi.org/10.1037/abn0000601), an acknowledgment is missing from the author note. The missing acknowledgement is included in the erratum.] Psychopathology can be viewed as a hierarchy of correlated dimensions. Many studies have supported this conceptualization, but they have used alternative statistical models with differing interpretations. In bifactor models, every symptom loads on both the general factor and 1 specific factor (e.g., internalizing), which partitions the total explained variance in each symptom between these orthogonal factors. In second-order models, symptoms load on one of several correlated lower-order factors. These lower-order factors load on a second-order general factor, which is defined by the variance shared by the lower-order factors. Thus, the factors in second-order models are not orthogonal. Choosing between these valid statistical models depends on the hypothesis being tested. Because bifactor models define orthogonal phenotypes with distinct sources of variance, they are optimal for studies of shared and unique associations of the dimensions of psychopathology with external variables putatively relevant to etiology and mechanisms. Concerns have been raised, however, about the reliability of the orthogonal specific factors in bifactor models. We evaluated this concern using parent symptom ratings of 9-10 year olds in the ABCD Study. Psychometric indices indicated that all factors in both bifactor and second-order models exhibited at least adequate construct reliability and estimated replicability. The factors defined in bifactor and second-order models were highly to moderately correlated across models, but have different interpretations. All factors in both models demonstrated significant associations with external criterion variables of theoretical and clinical importance, but the interpretation of such associations in second-order models was ambiguous due to shared variance among factors. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Regional cerebral blood flow in cocaine- versus methamphetamine-dependent patients with a history of alcoholism

Although abuse of cocaine or methamphetamine usually takes place in the context of heavy drinking, there is little information on the effects of such substance use comorbidity on brain perfusion. We explored similarities and differences in the effects of these two drugs in combination with alcohol on brain function using SPECT. Global and regional cerebral blood flow (CBF) were examined in 7 abstinent cocaine-dependent alcoholics (CDA; mean age = 39.2 yr, S.D. = 9.2 yr), 7 abstinent methamphetamine-dependent alcoholics (MDA; mean age = 36.8 yr, S.D. = 5.0 yr), and 7 non-alcoholic/non-stimulant abusing controls (NAC; mean age = 37.3 yr, S.D. = 9.6 yr). MDA had significantly lower global CBF than CDA who, in turn, were significantly lower than NAC. In addition, CDA had abnormal perfusion in the superior posterior frontal region compared to NAC; while MDA did not display specific regional deficits. Therefore, it appears that cocaine alters the relationship between global and regional CBF in alcoholics, while methamphetamine does not.

Reduction in cortical IMP-SPET tracer uptake with recent cigarette consumption in a young group of healthy males. San Diego HIV Neurobehavioral Research Center

Functional brain imaging techniques are being used increasingly to infer disturbances in brain function in various neuropsychiatric disorders, but the specificity of such findings is not always clear. We retrospectively examined the effects of one possible confound - cigarette smoking - on cortical uptake of iodine-123 iodoamphetamine (IMP) using single-photon emission tomographic imaging in a young (mean age=35 years) healthy group of male controls divided according to their smoking history. Subjects who had never smoked (n=17), or those with a history of smoking but no recent smoking (n=8), had equivalent and significantly higher mean cortical uptake of IMP than subjects with a history of smoking and who were current smokers (n=8). There were no differences in the cortical distribution of IMP. Our results indicate that cigarette smoking has an acute effect on global cerebral blood flow. This potential confound must be considered before abnormalities in cortical tracer uptake are attributed to some neuropsychiatric disorder of interest.

Single photon emission computed tomography with iodoamphetamine-123 and neuropsychological studies in long-term abstinent alcoholics

Ten long-term abstinent alcoholics (mean abstinence = 7.7 years) were compared with 13 recently detoxified substance-dependent inpatients (mean abstinence = 25 days) and 8 nonalcoholic control subjects on global end regional measures of cortical cerebral blood flow (CBF), and on neuropsychological measures. CBF was assessed using 123iodoamphetamine (IMP) single photon emission computed tomography (SPECT) under conditions of behavioral challenge (Raven's Progressive Matrices). CBF and neuropsychological test performance were worse in the recently detoxified inpatients. Of greater interest, there was a dissociation in the long-term abstinent group, which, while neuropsychologically indistinguishable from controls, showed significantly decreased mean cortical IMP uptake. We conclude that there may be persistent physiologic abnormalities in long-term abstinent alcoholics who have achieved full behavioral recovery. Smoking on the day of SPECT scanning was also identified to be a significant confound to understanding CBF changes in alcoholism.

Magnetic resonance imaging and mood disorders. Localization of white matter and other subcortical abnormalities

BACKGROUND

Recent reports in the literature document an association between focal white matter abnormalities in bipolar as well as unipolar mood disorder. The importance of this finding and other associated anatomic differences is uncertain.

METHODS

We examined the volume of abnormal white matter and other brain volumes using quantitative magnetic resonance imaging analysis. We explored the relationship of these variables with diagnosis, cognitive function, and clinical variables in 36 patients with bipolar disorder, 30 patients with unipolar disorder, and 26 control subjects who were free from significant medical and neurologic illness.

RESULTS

Younger patients with bipolar disorder (but not similarly aged patients with unipolar disorder or controls) have an increased volume of abnormal white matter. Data also indicate that the total volume of abnormal white matter may be associated with increased cognitive impairment, increased rate of psychiatric illness in the family, and onset after adolescence.

CONCLUSION

Patients with bipolar disorder demonstrate a pattern of subcortical brain morphologic abnormalities and cognitive impairment.

Preliminary report: cerebral blood flow abnormalities in older schizophrenic patients

We compared global and regional cerebral blood flow in 11 schizophrenic patients and 11 normal comparison subjects, all over the age of 45 years. The schizophrenic patients had lower global cortical uptake than the control subjects. Among the individual regions of interest, the schizophrenic patients had significant decrements in the left posterior frontal region and in the bilateral inferior temporal regions. The uptake did not correlate with age of onset or duration of schizophrenia, current daily neuroleptic dose, severity of psychopathology, or global cognitive impairment.

The subcortical dysfunction hypothesis of memory deficits in depression: neuropsychological validation in a subgroup of patients

The subcortical dysfunction hypothesis of verbal learning and memory deficits in depression was evaluated by comparing the memory test profiles of unipolar depressives (n = 40) and bipolar depressives (n = 9) with those of patients with a prototypical subcortical dementia (Huntington's disease, HD), patients with a prototypical cortical dementia (Alzheimer's disease, AD), and normal controls. In a discriminant function analysis that well-differentiated the HD, AD, and normal subjects, it was found that 28.6% of the depressed patients were classified as HD patients (DEP-HD subjects), 49.0% were classified as normals (DEP-N subjects), none were classified as AD patients, and 22.4% were not well-classified. The DEP-HD group closely resembled the HD group on additional indices of verbal learning and memory, and differed from the DEP-N group, which strongly resembled the normal control group. DEP-N patients also performed significantly better than DEP-HD patients on a number of other neuropsychological tests (e.g., WAIS-R Digit Symbol, category fluency, Trail Making Test Part B). The findings provide support for the subcortical dysfunction hypothesis, but only for a subgroup of depressed patients. Implications for differentiating depressive "pseudodementia" from AD are discussed.

The cholinergic rapid eye movement induction test with arecoline in depression

The cholinergic rapid eye movement (REM) induction test using arecoline hydrobromide, a cholinergic muscarinic receptor agonist, was studied in patients with affective disorder and in normal controls to determine whether or not depression is associated with enhanced induction of REM sleep by muscarinic agonists. Arecoline induced REM sleep in a dose-dependent fashion in both patients and controls compared with placebo infusions. Compared with normal controls, patients entered REM sleep significantly more rapidly following intravenous administration of 1.0 mg of arecoline hydrobromide than they did following administration of 0.5 mg of arecoline hydrobromide or placebo. These results, as well as those of previous studies, support the hypothesis that patients with affective disorder show a functional supersensitive induction of REM sleep in response to muscarinic receptor agonists and may be consistent with the hypothesis that functional muscarinic receptor "up regulation" is associated with depression.

"CORT-EX:" a program for quantitative analysis of brain SPECT data

A program was developed to extract from brain SPECT data global as well as regional concentrations of a radiopharmaceutical while allowing for improved subjective evaluation of its distribution. This program was used to process the data obtained from 17 normal subjects, 20 min, 2 hr, and 4 hr after the injection of iodine-labeled iodoamphetamines. The mean absolute cortical uptake at these three time periods was 0.921 (+/- 0.185), 0.803 (+/- 0.107), and 0.748 (+/- 0.103) in arbitrary units (+/- s.d.), respectively. The regional distribution of the tracer became more uniform with time due to an uneven washout rate. The cerebellum was noted to have a very high variability in its uptake and a high washout rate, making it unsuitable as an internal standard for relative quantification. Finally, a repeat study was performed on 10 subjects. No significant difference could be demonstrated in the mean uptake of the group at 2 and 4 hr, however the difference observed in the 20 min uptake values was significant at the p = 0.05 level.

Subcortical abnormalities detected in bipolar affective disorder using magnetic resonance imaging. Clinical and neuropsychological significance

Magnetic resonance imaging was utilized to determine the nature and rate of subcortical abnormalities in bipolar affective disorder. Nine of 19 bipolar patients and no controls demonstrated subcortical signal hyperintensities on blind evaluation of the images. There was no apparent change in the appearance of the hyperintensities in 7 of 7 subjects with abnormal magnetic resonance images who underwent repeated imaging at 1 year. Bipolar patients with abnormalities had a history of more hospitalizations and appeared more impaired on tests of fluency and recall when compared with bipolar patients without abnormalities or with controls. The possible etiology and significance of signal hyperintensities in bipolar affective disorder is discussed.

Regional cerebral glucose metabolic rate in human sleep assessed by positron emission tomography

The cerebral metabolic rate of glucose was measured during nighttime sleep in 36 normal volunteers using positron emission tomography and fluorine-18-labeled 2-deoxyglucose (FDG). In comparison to waking controls, subjects given FDG during non-rapid eye movement (NREM) sleep (primarily stages 2 and 3) showed about a 23% reduction in metabolic rate across the entire brain. This decrease was greater for the frontal than temporal or occipital lobes, and greater for basal ganglia and thalamus than cortex. Subjects in rapid eye movement (REM) sleep tended to have higher cortical metabolic rates than waking subjects. The cingulate gyrus was the only cortical structure to show a significant increase in glucose metabolic rate in REM sleep in comparison to waking. The basal ganglia were relatively more active on the right in REM sleep and symmetrical in NREM sleep.

Poststroke depression and psychosis

Stroke is capable of producing a varied spectrum of neurobehavioral syndromes that may come to the attention of the mental health professional evaluating psychiatric symptoms in elderly individuals. The neurobehavioral effects may include affective or psychotic symptoms and may occur immediately after the stroke or months to years later. The presence of underlying (or pre-existing) brain disease may have an adverse effect on the resolution of the neuropsychiatric symptoms. Although there are no treatment response studies in the area of psychosis following stroke, the response of poststroke depression to antidepressants makes attempted pharmacologic treatment of symptoms justified.