Modifiable risk factors for neurocognitive and psychosocial problems after Hodgkin lymphoma.

Long-term survivors of childhood Hodgkin lymphoma (HL) experience a high burden of chronic health morbidities. Correlates of neurocognitive and psychosocial morbidity have not been well established. A total of 1760 survivors of HL (mean ± SD age, 37.5 ± 6.0 years; time since diagnosis, 23.6 ± 4.7 years; 52.1% female) and 3180 siblings (mean age, 33.2 ± 8.5 years; 54.5% female) completed cross-sectional surveys assessing neurocognitive function, emotional distress, quality of life, social attainment, smoking, and physical activity. Treatment exposures were abstracted from medical records. Chronic health conditions were graded according to the National Cancer Institute's Common Terminology Criteria for Adverse Events version 4.3 (1 = mild, 2 = moderate, 3 = severe/disabling, and 4 = life-threatening). Multivariable analyses, adjusted for age, sex, and race, estimated relative risk (RR) of impairment in survivors vs siblings and, among survivors, risk of impairment associated with demographic, clinical, treatment, and grade 2 or higher chronic health conditions. Compared with siblings, survivors had significantly higher risk (all, P < .05) of neurocognitive impairment (eg, memory, 8.1% vs 5.7%), anxiety (7.0% vs 5.4%), depression (9.1% vs 7%), unemployment (9.6% vs 4.4%), and impaired physical/mental quality of life (eg, physical function, 11.2% vs 3.0%). Smoking was associated with a higher risk of impairment in task efficiency (RR, 1.56; 95% confidence interval [CI], 1.02-2.39), emotional regulation (RR, 1.84; 95% CI, 1.35-2.49), anxiety (RR, 2.43; 95% CI, 1.51-3.93), and depression (RR, 2.73; 95% CI, 1.85-4.04). Meeting the exercise guidelines of the Centers for Disease Control and Prevention was associated with a lower risk of impairment in task efficiency (RR, 0.70; 95% CI, 0.52-0.95), organization (RR, 0.60; 95% CI, 0.45-0.80), depression (RR, 0.66; 95% CI, 0.48-0.92), and multiple quality of life domains. Cardiovascular and neurologic conditions were associated with impairment in nearly all domains. Survivors of HL are at elevated risk for neurocognitive and psychosocial impairment, and risk is associated with modifiable factors that provide targets for interventions to improve long-term functional outcomes.

Altered dynamic electroencephalography connectome phase-space features of emotion regulation in social anxiety.

Emotion regulation deficits are commonly observed in social anxiety disorder (SAD). We used manifold-learning to learn the phase-space connectome manifold of EEG brain dynamics in twenty SAD participants and twenty healthy controls. The purpose of the present study was to utilize manifold-learning to understand EEG brain dynamics associated with emotion regulation processes. Our emotion regulation task (ERT) contains three conditions: Neutral, Maintain and Reappraise. For all conditions and subjects, EEG connectivity data was converted into series of temporally-consecutive connectomes and aggregated to yield this phase-space manifold. As manifold geodesic distances encode intrinsic geometry, we visualized this space using its geodesic-informed minimum spanning tree and compared neurophysiological dynamics across conditions and groups using the corresponding trajectory length. Results showed that SAD participants had significantly longer trajectory lengths during Neutral and Maintain. Further, trajectory lengths during Reappraise were significantly associated with the habitual use of reappraisal strategies, while Maintain trajectory lengths were significantly associated with the negative affective state during Maintain. In sum, an unsupervised connectome manifold-learning approach can reveal emotion regulation associated phase-space features of brain dynamics.

Hypogonadism and neurocognitive outcomes among childhood cancer survivors.

OBJECTIVE: Childhood cancer survivors are at risk for hypogonadism. The impact of hypogonadism on neurocognitive impairment and emotional distress in the non-cancer population has been shown; however, the relationship among the childhood cancer survivor population is unknown. We aimed to evaluate the contribution of hypogonadism to neurocognitive impairment and emotional distress among survivors. DESIGN: Cross-sectional study using retrospective cohort. METHODS: In total, 3628 survivors who completed standard neurocognitive tests (six domains: processing speed, memory, executive function, attention, academics, and global cognition) and self-reported emotional distress were included in our study. Participants were stratified by sex and gonadal status. Outcomes were compared between hypogonadal and eugonadal groups by multivariable analysis, adjusting for established predictors, and mediation analyses to determine the direct/indirect effects of hypogonadism on outcomes. RESULTS: The hypogonadal group exhibited a higher prevalence of neurocognitive impairment across domains, but no difference in emotional distress. Hypogonadal females exhibited higher relative risk (1.7, 95% CI, 1.2-2.5) for impaired visual processing speed, compared to eugonadal females after adjusting for cancer-related variables. In mediation models, hypogonadism had a significant direct (P < .01) and indirect (from P < .01) impact on impairment in visual processing speed among females. Males demonstrated direct (P = .03) and indirect (P = .04) impact of hypogonadism on motor processing speed. CONCLUSION: Processing speed may be the most vulnerable neurocognitive domain associated with hypogonadism in survivors, while other domains were mainly impacted by cancer-related variables. Our findings support the need for further evaluation of the impact of sex hormone replacement therapy on neurocognitive function.

Evolving therapies, neurocognitive outcomes, and functional independence in adult survivors of childhood glioma.

BACKGROUND: Treatment of childhood glioma has evolved to reduce radiotherapy exposure with the goal of limiting late toxicity. However, the associations between treatment changes and neurocognition, and the contribution of neurocognition and chronic health conditions to attainment of adult independence, remain unknown. METHODS: Adult survivors of childhood glioma diagnosed in 1970-1999 in the Childhood Cancer Survivor Study (n = 1284; median [minimum-maximum] 30 [18-51] years of age at assessment; 22 [15-34] years from diagnosis) self-reported neurocognitive impairment and chronic health conditions. Multivariable models evaluated associations between changes in treatment exposures (surgery only, chemotherapy [with or without surgery], cranial radiation [with or without chemotherapy and/or surgery]), and neurocognitive impairment. Latent class analysis with 5 indicators (employment, independent living, assistance with routine and/or personal care needs, driver's license, marital or partner status) identified classes of functional independence. Path analysis tested associations among treatment exposures, neurocognitive impairment, chronic health conditions, and functional independence. Statistical tests were 2-sided. RESULTS: Cranial radiation exposure decreased over time (51%, 1970s; 46%, 1980s; 27%, 1990s]. However, compared with siblings, survivors with any treatment exposure were at elevated risk for neurocognitive impairment, including surgery only (eg, memory: relative risk = 2.22; task efficiency: relative risk = 1.88; both P < .001). Three classes of functional independence were identified: independent (58%), moderately independent (20%), and nonindependent (22%). Cranial radiation was associated with nonindependence through impaired task efficiency (ß = 0.06), sensorimotor (ß = 0.06), and endocrine (ß = 0.10) chronic health conditions and through the associations between these conditions and task efficiency (each ß = 0.04). Sensorimotor and endocrine chronic health conditions were associated with nonindependence through memory. CONCLUSION: Most long-term glioma survivors achieve adult independence. However, functional nonindependence is associated with treatment-related neurocognitive impairment and chronic health conditions.

Temporal changes in treatment and late mortality and morbidity in adult survivors of childhood glioma: a report from the Childhood Cancer Survivor Study.

Pediatric glioma therapy has evolved to delay or eliminate radiation for low-grade tumors. This study examined these temporal changes in therapy with long-term outcomes in adult survivors of childhood glioma. Among 2,501 5-year survivors of glioma in the Childhood Cancer Survivor Study diagnosed 1970-1999, exposure to radiation decreased over time. Survivors from more recent eras were at lower risk of late mortality (≥5 years from diagnosis), severe/disabling/life-threatening chronic health conditions (CHCs) and subsequent neoplasms (SNs). Adjusting for treatment exposure (surgery only, chemotherapy, or any cranial radiation) attenuated this risk (for example, CHCs (1990s versus 1970s), relative risk (95% confidence interval), 0.63 (0.49-0.80) without adjustment versus 0.93 (0.72-1.20) with adjustment). Compared to surgery alone, radiation was associated with greater than four times the risk of late mortality, CHCs and SNs. Evolving therapy, particularly avoidance of cranial radiation, has improved late outcomes for childhood glioma survivors without increased risk for late recurrence.

Clinical Assessment of Late Health Outcomes in Survivors of Wilms Tumor.

OBJECTIVES: We aimed to clinically characterize the health, neurocognitive, and physical function outcomes of curative treatment of Wilms tumor. METHODS: Survivors of Wilms tumor (n = 280) participating in the St. Jude Lifetime Cohort, a retrospective study with prospective follow-up of individuals treated for childhood cancer at St. Jude Children's Research Hospital, were clinically evaluated and compared to age and sex-matched controls (n = 625). Health conditions were graded per a modified version of the National Cancer Institute's Common Terminology Criteria for Adverse Events. Standardized neurocognitive testing was graded by using age-adjusted z-scores. Impaired physical function was defined by age- and sex-matched z-scores >1.5 SD below controls. Modified Poisson regression was used to compare the prevalence of conditions and multivariable logistic regression to examine treatment associations. RESULTS: Median age at evaluation was similar between survivors and controls (30.5 years [9.0-58.0] and 31.0 [12.0-70.0]). Therapies included nephrectomy (100%), vincristine (99.3%), dactinomycin (97.9%), doxorubicin (66.8%), and abdominal (59.3%) and/or chest radiation (25.0%). By age 40 years, survivors averaged 12.7 (95% confidence interval [CI] 11.7-13.8) grade 1-4 and 7.5 (CI: 6.7-8.2) grade 2 to 4 health conditions, compared to 4.2 (CI: 3.9-4.6) and 2.3 (CI: 2.1-2.5), respectively, among controls. Grade 2 to 4 endocrine (53.9%), cardiovascular (26.4%), pulmonary (18.2%), neurologic (8.6%), neoplastic (7.9%), and kidney (7.2%) conditions were most prevalent. Survivors exhibited neurocognitive and physical performance impairments. CONCLUSIONS: Wilms tumor survivors experience a threefold higher burden of chronic health conditions compared to controls and late neurocognitive and physical function deficits. Individualized clinical management, counseling, and surveillance may improve long-term health maintenance.

Classification of Social Anxiety Disorder With Support Vector Machine Analysis Using Neural Correlates of Social Signals of Threat.

Threatening faces are potent cues in social anxiety disorder (SAD); therefore, neural response to threatening faces, particularly regions in the "fear" circuit such as amygdala, may classify individuals with SAD. Previous studies of indirect/implicit processing of threatening faces have shown that support vector machine (SVM) pattern recognition significantly differentiates individuals with SAD from healthy participants, though evidence for the role of the fear circuit in classification has been inconsistent. We extend this literature by using SVM during direct face processing. Individuals with SAD (n=47) and healthy controls (n=46) completed a validated emotional face matching task during functional MRI, which included a matching shapes control condition. SVM was based on brain response to threat (vs. happy) faces, threat faces (vs. shapes), and threat/happy faces (vs. shapes) in 90 regions encompassing frontal, limbic, parietal, temporal, and occipital systems. Recursive feature elimination (RFE) was used for feature selection and to rank the contribution of regions in predicting SAD diagnosis. SVM results for threat (vs. happy) faces revealed satisfactory accuracy (e.g., area under the curve=0.72); results with shapes as "baseline" yielded less optimal classification. RFE for threat (vs. happy) indicated that all 90 brain regions were necessary for classification. RFE-based ranking suggested diffuse neurofunctional activation to threat (vs. happy) faces in classification. When using an RFE cut-point, regions implicated in sensory and goal-directed processes contributed relatively more in differentiating SAD from controls than other regions. Results suggest that neural activity across large-scale systems, as opposed to fear circuitry alone, may aid in the diagnosis of SAD.

Thought Chart: tracking the thought with manifold learning during emotion regulation.

The Nash embedding theorem demonstrates that any compact manifold can be isometrically embedded in a Euclidean space. Assuming the complex brain states form a high-dimensional manifold in a topological space, we propose a manifold learning framework, termed Thought Chart, to reconstruct and visualize the manifold in a low-dimensional space. Furthermore, it serves as a data-driven approach to discover the underlying dynamics when the brain is engaged in a series of emotion and cognitive regulation tasks. EEG-based temporal dynamic functional connectomes are created based on 20 psychiatrically healthy participants' EEG recordings during resting state and an emotion regulation task. Graph dissimilarity space embedding was applied to all the dynamic EEG connectomes. In order to visualize the learned manifold in a lower dimensional space, local neighborhood information is reconstructed via k-nearest neighbor-based nonlinear dimensionality reduction (NDR) and epsilon distance-based NDR. We showed that two neighborhood constructing approaches of NDR embed the manifold in a two-dimensional space, which we named Thought Chart. In Thought Chart, different task conditions represent distinct trajectories. Properties such as the distribution or average length in the 2-D space may serve as useful parameters to explore the underlying cognitive load and emotion processing during the complex task. In sum, this framework is a novel data-driven approach to the learning and visualization of underlying neurophysiological dynamics of complex functional brain data.

From Default Mode Network to the Basal Configuration: Sex Differences in the Resting-State Brain Connectivity as a Function of Age and Their Clinical Correlates.

Connectomics is a framework that models brain structure and function interconnectivity as a network, rather than narrowly focusing on select regions-of-interest. MRI-derived connectomes can be structural, usually based on diffusion-weighted MR imaging, or functional, usually formed by examining fMRI blood-oxygen-level-dependent (BOLD) signal correlations. Recently, we developed a novel method for assessing the hierarchical modularity of functional brain networks-the probability associated community estimation (PACE). PACE uniquely permits a dual formulation, thus yielding equivalent connectome modular structure regardless of whether positive or negative edges are considered. This method was rigorously validated using the 1,000 functional connectomes project data set (F1000, RRID:SCR_005361) (1) and the Human Connectome Project (HCP, RRID:SCR_006942) (2, 3) and we reported novel sex differences in resting-state connectivity not previously reported. (4) This study further examines sex differences in regard to hierarchical modularity as a function of age and clinical correlates, with findings supporting a basal configuration framework as a more nuanced and dynamic way of conceptualizing the resting-state connectome that is modulated by both age and sex. Our results showed that differences in connectivity between men and women in the 22-25 age range were not significantly different. However, these same non-significant differences attained significance in both the 26-30 age group (p = 0.003) and the 31-35 age group (p < 0.001). At the most global level, areas of diverging sex difference include parts of the prefrontal cortex and the temporal lobe, amygdala, hippocampus, inferior parietal lobule, posterior cingulate, and precuneus. Further, we identified statistically different self-reported summary scores of inattention, hyperactivity, and anxiety problems between men and women. These self-reports additionally divergently interact with age and the basal configuration between sexes.

Resting-state theta band connectivity and graph analysis in generalized social anxiety disorder.

BACKGROUND: Functional magnetic resonance imaging (fMRI) resting-state studies show generalized social anxiety disorder (gSAD) is associated with disturbances in networks involved in emotion regulation, emotion processing, and perceptual functions, suggesting a network framework is integral to elucidating the pathophysiology of gSAD. However, fMRI does not measure the fast dynamic interconnections of functional networks. Therefore, we examined whole-brain functional connectomics with electroencephalogram (EEG) during resting-state. METHODS: Resting-state EEG data was recorded for 32 patients with gSAD and 32 demographically-matched healthy controls (HC). Sensor-level connectivity analysis was applied on EEG data by using Weighted Phase Lag Index (WPLI) and graph analysis based on WPLI was used to determine clustering coefficient and characteristic path length to estimate local integration and global segregation of networks. RESULTS: WPLI results showed increased oscillatory midline coherence in the theta frequency band indicating higher connectivity in the gSAD relative to HC group during rest. Additionally, WPLI values positively correlated with state anxiety levels within the gSAD group but not the HC group. Our graph theory based connectomics analysis demonstrated increased clustering coefficient and decreased characteristic path length in theta-based whole brain functional organization in subjects with gSAD compared to HC. CONCLUSIONS: Theta-dependent interconnectivity was associated with state anxiety in gSAD and an increase in information processing efficiency in gSAD (compared to controls). Results may represent enhanced baseline self-focused attention, which is consistent with cognitive models of gSAD and fMRI studies implicating emotion dysregulation and disturbances in task negative networks (e.g., default mode network) in gSAD.