Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.

BACKGROUND: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group. METHODS: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality. RESULTS: We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for d-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance. CONCLUSION: These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.

A community effort for COVID-19 Ontology Harmonization.

Ontologies have emerged to become critical to support data and knowledge representation, standardization, integration, and analysis. The SARS-CoV-2 pandemic led to the rapid proliferation of COVID-19 data, as well as the development of many COVID-19 ontologies. In the interest of supporting data interoperability, we initiated a community-based effort to harmonize COVID-19 ontologies. Our effort involves the collaborative discussion among developers of seven COVID-19 related ontologies, and the merging of four ontologies. This effort demonstrates the feasibility of harmonizing these ontologies in an interoperable framework to support integrative representation and analysis of COVID-19 related data and knowledge.

Cortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis.

Studies of posttraumatic stress disorder (PTSD) report volume abnormalities in multiple regions of the cerebral cortex. However, findings for many regions, particularly regions outside commonly studied emotion-related prefrontal, insular, and limbic regions, are inconsistent and tentative. Also, few studies address the possibility that PTSD abnormalities may be confounded by comorbid depression. A mega-analysis investigating all cortical regions in a large sample of PTSD and control subjects can potentially provide new insight into these issues. Given this perspective, our group aggregated regional volumes data of 68 cortical regions across both hemispheres from 1379 PTSD patients to 2192 controls without PTSD after data were processed by 32 international laboratories using ENIGMA standardized procedures. We examined whether regional cortical volumes were different in PTSD vs. controls, were associated with posttraumatic stress symptom (PTSS) severity, or were affected by comorbid depression. Volumes of left and right lateral orbitofrontal gyri (LOFG), left superior temporal gyrus, and right insular, lingual and superior parietal gyri were significantly smaller, on average, in PTSD patients than controls (standardized coefficients = -0.111 to -0.068, FDR corrected P values < 0.039) and were significantly negatively correlated with PTSS severity. After adjusting for depression symptoms, the PTSD findings in left and right LOFG remained significant. These findings indicate that cortical volumes in PTSD patients are smaller in prefrontal regulatory regions, as well as in broader emotion and sensory processing cortical regions.

Assessing Depression Following Injury or Illness: Preliminary Validation of the Neuropsychology.Org Measures of Anxiety and Depression (NOMAD) Scale.

INTRODUCTION: Evaluation is an important aspect of any evidence-based rehabilitation program, as it helps to determine the course and scope of the prescribed therapy. Several brief, empirically validated measures of depression are available, yet these measures lack a few innovative features that are useful when evaluating rehabilitation and other medical populations. Such features include a retrospective self-report of premorbid psychological status, embedded symptom validity measures, and means of quickly accounting for physiological symptoms directly resulting from injury or illness that may not indicate psychological distress. OBJECTIVE: This was a preliminary study investigating the utility and psychometric properties, including normative data, of the Neuropsychology.Org Measures of Anxiety and Depression (NOMAD) Depression scale. This brief screening measure for rehabilitation and other medical patients provides ratings of current and preinjury/illness depression levels, and a screening for symptom magnification and minimization. DESIGN: Clinical and control participants completed the NOMAD Depression scale. Clinical participants also completed some or all of the following criterion standard measures: Beck Depression Inventory-Second Edition (BDI-II), Hospital Anxiety and Depression Scale (HADS), and Symptom Checklist-90-Revised (SCL-90-R). SETTING: University hospital-based rehabilitation psychology and neuropsychology clinic and a private neuropsychology and pain psychology practice. PARTICIPANTS: Convenience sample of 575 adults referred for neuropsychological or psychological evaluation, along with 85 undergraduate control subjects. MAIN OUTCOME MEASUREMENTS: NOMAD Depression scale results were correlated with criterion standards. Diagnostic sensitivity and specificity were calculated. RESULTS: The NOMAD Depression scale demonstrated moderate convergent validity with other brief mood measures: correlation coefficients (r = .76 to .87, P < .001). Adequate diagnostic sensitivity and specificity were found (area under the curve [AUC] = .81). Suggested cut-off scores for severity ranges are presented for the NOMAD Depression scale Total score and separately for the Cognitive-Affective subscale. CONCLUSIONS: These preliminary results suggest that the NOMAD Depression scale may be clinically useful for quick assessment of mood and mood change following injury/illness in rehabilitation and other health care contexts.

Influence of analysis technique on measurement of diffusion tensor imaging parameters.

OBJECTIVE: We compared results from various methods of analysis of diffusion tensor imaging (DTI) data from a single dataset consisting of 10 healthy adolescents. SUBJECTS AND METHODS: All subjects were imaged on a single 3-T MRI system (single-shot echo-planar imaging pulse sequence; b value, 1000 s/mm(2)). We measured fractional anisotropy (FA), apparent diffusion coefficient (ADC), and axial and radial diffusivity values using 64-pixel rectangular regions of interest (ROIs) in the right side, midline, and left side of the central portion of the splenium of the corpus callosum for fixed (i.e., at same sites in all subjects) and targeted (i.e., at sites of highest FA values) locations. We compared results with those obtained using 64-pixel oval ROIs and 100-pixel rectangular ROIs in the same locations. Finally, we compared results from ROI-based methods and from tractography. All comparisons used the Wilcoxon signed rank test and the intraclass correlation of individual values. RESULTS: Compared to tractography, the average of mean ROI-based values was significantly higher for fixed (approximately 14%) and targeted (approximately 39%) FA values and was significantly lower for ADC (approximately 16%) and radial diffusivity (approximately 38%) values. For solely ROI-based comparisons, statistically significant differences were found in the following comparisons: 64- versus 100-pixel ROI, oval versus rectangular ROI, targeted FA left of midline versus mean targeted FA value, and targeted ROI right of midline versus mean targeted FA value. CONCLUSION: Markedly different values were obtained when using either ROI- or tractography-based techniques or ROI analysis techniques that differ only relatively slightly.

Diffusion-tensor imaging assessment of white matter maturation in childhood and adolescence.

OBJECTIVE: The purpose of this study was to test a first hypothesis that fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values continue to change in late childhood and adolescence and a second hypothesis that less mature white matter (WM) regions have a higher rate of change than WM regions that are relatively more mature. SUBJECTS AND METHODS: Eighty-seven healthy children (50 girls, 37 boys; mean age, 11.2 ± 3.6 years; range, 4.2-17.7 years) underwent six-direction diffusion-tensor imaging with a 3-T MRI system. Three neuroradiologists independently drew regions of interest in 10 WM regions and measured FA and ADC values. To test the first hypothesis, we correlated these values with subject age by linear regression analysis (p < 0.05). To test the second hypothesis, we determined whether regions with lower FA and higher ADC in the 4- to 7-year old group had a higher slope of FA increase and ADC decrease over the entire age range. For this assessment, we used linear regression analysis (p < 0.05) and curve fitting. RESULTS: In the test of the first hypothesis, increases in FA with age were noted in all WM regions and were statistically significant in six regions. Decreases in ADC values with age were noted in all brain regions except the genu of the corpus callosum. In all other regions except the splenium of the corpus callosum, the decreases were statistically significant. In the test of the second hypothesis, the relation between FA in the 4- to 7-year-old subjects and the FA increase in the entire sample was best described with a linear equation. The rate of age-related FA increase tended to be greater with lower initial FA (r = -0.384, p = 0.271). The relation between ADC in the 4- to 7-year-old subjects and ADC decrease in the entire population was best described with a second-order equation. The rate of age-related ADC decrease tended to be greater with higher initial ADC (r = 0.846, p = 0.001). For ADC values of 100 or less at age 4-7 years, the rate of ADC change with age tended to be decrease as initial ADC increased. CONCLUSION: In general, both hypotheses were verified. Overall, FA values continue to increase and ADC values continue to decrease during childhood and adolescence. The most rapid changes were found in WM regions that were least mature in the first few years of the study period.

Cardiac implications of increased arterial entry and reversible 24-h central and peripheral norepinephrine levels in melancholia.

The mortality of chronic heart failure (CHF) doubles either when CHF patients are depressed or when their plasma norepinephrine (NE) level exceeds those of controls by approximately 40%. We hypothesized that patients with major depression had centrally driven, sustained, stress-related, and treatment-reversible increases in plasma NE capable of increasing mortality in CHF patients with depression. We studied 23 controls and 22 medication-free patients with melancholic depression. In severely depressed patients before and after electroconvulsive therapy (ECT), we measured cerebrospinal fluid (CSF) NE, plasma NE, plasma epinephrine (EPI), and plasma cortisol hourly for 30 h. In mildly-to-moderately depressed melancholic patients, we assessed basal and stress-mediated arterial NE appearance. Severely depressed patients had significant increases in mean around-the-clock levels of CSF NE (P < 0.02), plasma NE (P < 0.02), plasma EPI (P < 0.02), and plasma cortisol (P < 0.02). CSF NE, plasma NE, and cortisol all rose together throughout the night and peaked in the morning. Each fell to control values after ECT. Mildly-to-moderately melancholic patients also had increased basal (P < 0.05) and stress-related (P < 0.03) arterial NE-appearance rates. Severely melancholic depressed, medication-free patients had around-the-clock increases in plasma NE levels capable of increasing mortality in CHF. Twenty-four-hour indices of central noradrenergic, adrenomedullary, and adrenocortical secretion were also elevated. Concurrent diurnal rhythms of these secretions could potentiate their cardiotoxicity. Even mildly-to-moderately depressed melancholic patients had clinically relevant increases in the arterial NE-appearance rate. These findings will not apply to all clinical subtypes of major depression.

Abnormalities in MRI-measured signal intensity in the corpus callosum in schizophrenia.

The microstructural integrity of the corpus callosum (CC) in first-episode schizophrenia patients was assessed by measuring the signal intensity (SI) in T1-weighted MRI images. Analyses revealed that compared to both healthy controls and non-schizophrenic patients, schizophrenia patients showed reductions in SI in all the callosal subregions, the genu, body, isthmus and splenium in first-episode schizophrenia. These results indicate that schizophrenia is characterized by pathology of this principal interhemispheric commissure; the abnormalities may reflect distributed (rather than localized) interhemispheric disconnectivity that extends beyond the heteromodal association cortices.

Decreased left amygdala and hippocampal volumes in young offspring at risk for schizophrenia.

Abnormalities in the structural integrity and connectivity of the medial temporal and the prefrontal cortex are well documented in schizophrenia, but it is unclear if they represent premorbid indicators of neuropathology. Studies of young relatives at high-risk for schizophrenia (HR) provide an opportunity to clarify this question. We herein provide data from a magnetic resonance imaging (MRI) study of these structures in young offspring of schizophrenia patients. A series of 17 young HR offspring of schizophrenic patients were compared with 22 healthy comparison subjects (HC). Morphometric comparisons of the right and left dorsolateral prefrontal cortex (DLPFC), and the anterior and posterior amygdala-hippocampal (A-H) complex were conducted using high-resolution whole brain T(1) weighted brain images. Compared with the HC group, HR subjects had significant decreases in intracranial volume. The volumes of the left anterior and posterior A-H complex were reduced in the HR subjects after adjusting for intracranial volume. HR subjects also showed a significant leftward (Right>Left) asymmetry of the anterior A-H complex compared to the HC subjects. No significant changes were seen in the DLPFC. Thus, lateralized alterations in the volume of the left A-H complex are evident in unaffected young offspring of schizophrenia patients and may be of neurodevelopmental origin. Follow-up studies are needed to examine the predictive value of these measures for future emergence of schizophrenia in at-risk individuals.

Development of the corpus callosum in childhood, adolescence and early adulthood.

The corpus callosum (CC) is the major commissure connecting the cerebral hemispheres and there is evidence of its continuing development into young adulthood [Ann. Neurol. 34 (1993) 71]. Yet, little is known about changes in the size and tissue characteristics of its sub-regions. The sub-regions of the CC (genu, body, isthmus and splenium) are topographically organized to carry interhemispheric fibres representing heteromodal and unimodal cortical brain regions. Studies of the development of each of these sub-regions can therefore provide insights into the time course of brain development. We assessed age-related changes in the size and the signal intensities (SI) of the subregions of the corpus callosum in the Magnetic Resonance Imaging (MRI) scans of a cross-sectional sample of 109 healthy young individuals aged 7-32 years. Age was significantly positively correlated with the size of the callosal sub-regions (with the exception of the isthmus). On the other hand, there was an age-related decrease in SI across all the CC sub-regions. The rates of CC regional size increases appeared to be most pronounced in childhood. By contrast, SI decreases occurred during childhood and adolescence but reached an asymptote during young adulthood. Finally, the observed size and SI changes were similar across CC sub-regions. The observed increases in CC size in conjunction with the decreases in signal intensity reflect continued maturation of the structure from childhood through young adulthood. An increase in axonal size may underlie growth in the size of the CC during childhood. The continued decrease in the CC signal intensity during adolescence may in addition be related to ongoing maturation of the axonal cytoskeleton. CC maturational changes appeared synchronous across sub-regions suggesting parallel maturation of diverse brain regions during childhood and adolescence.