Donna M. Palmer

The Mellow Years?: Neural Basis of Improving Emotional Stability over Age

Contrary to the pervasive negative stereotypes of human aging, emotional functions may improve with advancing age. However, the brain mechanisms underlying changes in emotional function over age remain unknown. Here, we demonstrate that emotional stability improves linearly over seven decades (12–79 years) of the human lifespan. We used both functional magnetic resonance imaging and event-related potential recording to examine the neural basis of this improvement. With these multimodal techniques, we show that better stability is predicted by a shift toward greater medial prefrontal control over negative emotional input associated with increased activity later in the processing sequence (beyond 200 ms after stimulus) and less control over positive input, related to a decrease in early activity (within 150 ms). This shift was independent from gray matter loss, indexed by structural magnetic resonance data. We propose an integrative model in which accumulated life experience and the motivation for meaning over acquisition in older age contribute to plasticity of medial prefrontal systems, achieving a greater selective control over emotional functions.

Misinterpreting Emotional Expressions in Attention-Deficit/Hyperactivity Disorder: Evidence for a Neural Marker and Stimulant Effects

BACKGROUND In addition to cognitive impairment, there are disruptions to mood and emotion processing in attention-deficit/hyperactivity disorder (ADHD) but little is known about their neural basis. We examined ADHD disturbances in mood and emotion recognition and underlying neural systems before and after treatment with stimulant medication. METHODS Participants were 51 unmedicated ADHD adolescents and 51 matched healthy control subjects rated for depressed and anxious mood and accuracy for identifying facial expressions of basic emotion. Brain function was recorded using event-related potentials (ERPs) while subjects viewed these expressions. ADHD subjects were retested after 4 weeks, following treatment with methylphenidate (MPH). RESULTS ADHD subjects showed a profile of emotion-related impairment: higher depression and anxiety, deficits in identifying threat-related emotional expressions in particular, and alterations in ERPs. There was a pronounced reduction in occipital activity during the early perceptual analysis of emotional expression (within 120 msec), followed by an exaggeration of activity associated with structural encoding (120-220 msec) and subsequent reduction and slowing of temporal brain activity subserving context processing (300-400 msec). Methylphenidate normalized neural activity and produced some improvement of emotion recognition but had no impact on negative mood. Improvements in neural activity with MPH were consistent predictors of improvement in clinical features of emotional lability and hyperactivity. CONCLUSIONS Objective behavioral and brain function measures of emotion processing may provide a valuable addition to the clinical armamentarium for assessing emotional disturbances in ADHD and the efficacy of stimulants for treating these disturbances.

Explicit identification and implicit recognition of facial emotions: I. Age effects in males and females across 10 decades.

A number of psychiatric and neurological disorders are characterized by impairments in facial emotion recognition. Recognition of individual emotions has implicated limbic, basal ganglionic, and frontal brain regions. Since these regions are also implicated in age-related decline and sex differences in emotion processing, an understanding of normative variation is important for assessing deficits in clinical groups. An internet-based test (“WebNeuro”) was administered to 1,000 healthy participants (6 to 91 years, 53% female) to assess explicit identification of basic expressions of emotion (happiness, sadness, fear, anger, disgust, neutral). A subsequent implicit recognition condition was based on a priming protocol, in which explicit identification provided the “study” phase. Responses were most accurate for happiness and slowest for fear in the explicit condition, but least accurate for happiness and fastest for fear in the implicit condition. The effects of age, by contrast, showed a similar pattern for both explicit and implicit conditions, following a nonlinear distribution in which performance improved from childhood through adolescence and early adulthood and declined in later adulthood. Females were better than males at explicit identification of fear in particular. These findings are consistent with the priority of threat-related signals, but indicate opposing biases depending on whether emotion processing is conscious or nonconscious. The lifespan trends in emotion processing over 10 decades point to an interaction of brain-based (maturation, stability, and then atrophy of cortical and subcortical systems) and experiential contributing factors. These findings provide a robust normative platform for assessing clinical groups.

Explicit identification and implicit recognition of facial emotions: II. Core domains and relationships with general cognition

Both general and social cognition are important in providing endophenotypic markers and predicting real-world functional outcomes of clinical psychiatric disorders. However, to date, focus has been on general cognition, rather than on core domains of social/emotional cognition. This study sought to determine core domains of emotion processing for both explicit identification and implicit recognition and their relationships with core domains of general cognition. Age effects and sex differences were also investigated. A sample of 1,000 healthy individuals (6 to 91 years, 53.5% female) undertook the WebNeuro tests of emotion identification and recognition and tests of general cognitive function. Factor analysis revealed seven core domains of emotion processing: speed of explicit emotion identification, speed of implicit emotion recognition, implicit emotion recognition accuracy, “threat” processing, sadness–disgust identification, “positive emotion” processing, and general “face perception.” Seven corresponding core domains of general cognition were identified: information-processing speed, executive function, sustained attention/vigilance, verbal memory, working-memory capacity, inhibition/impulsivity, and sensorimotor function. Factors of emotion processing generally showed positive associations with those of general cognitive function, suggesting commonality in processing speed in particular. Moreover, age had a consistent nonlinear impact on both emotion processing and general cognitive factors, while sex differences were more specific. These findings contribute to a normative and standardized structure for assessment of emotional and general cognition in clinical groups.

A Polymorphism of the MAOA Gene is Associated with Emotional Brain Markers and Personality Traits on an Antisocial Index

Association studies suggest that the low activity variant of the monoamine oxidase A (MAOA)-uVNTR polymorphism confers risk for emotional disturbances associated with antisocial traits, particularly in males. Here, we assessed the low (MAOA-L) activity variant in relation to both brain function and a behavioral index of antisocial traits. From an initial sample of 290 healthy participants, 210 had low (MAOA-L) or high (MAOA-H) activity variants. Participants underwent a brief assessment of personality traits and event-related potential (ERP) recording during an emotion-processing task. Genotype differences in ERPs were localized using LORETA. The MAOA-L genotype was distinguished by elevated scores on the index of antisocial traits. These traits were related to altered ERPs elicited 120–280ms post-stimulus, particularly for negative emotion. Altered neural processing of anger in MAOA-L genotypes was localized to medial frontal, parietal, and superior temporo-occipital regions in males, but only to the superior occipital cortex in females. The MAOA low activity variant may increase susceptibility to antisocial traits through alterations to the neural systems for processing threat-related emotion, especially for males. Monoamines such as noradrenalin and serotonin may modulate these relationships, given that their metabolism varies according to MAOA variants, and that they modulate both emotional brain systems and antisocial aggression.

Neural Biases to Covert and Overt Signals of Fear: Dissociation by Trait Anxiety and Depression

Although biases toward signals of fear may be an evolutionary adaptation necessary for survival, heightened biases may be maladaptive and associated with anxiety or depression. In this study, event-related potentials (ERPs) were used to examine the time course of neural responses to facial fear stimuli (versus neutral) presented overtly (for 500 msec with conscious attention) and covertly (for 10 msec with immediate masking to preclude conscious awareness) in 257 nonclinical subjects. We also examined the impact of trait anxiety and depression, assessed using psychometric ratings, on the time course of ERPs. In the total subject group, controlled biases to overtly processed fear were reflected in an enhancement of ERPs associated with structural encoding (120220 msec) and sustained evaluation persisting from 250 msec and beyond, following a temporo-occipital to frontal topography. By contrast, covert fear processing elicited automatic biases, reflected in an enhancement of ERPs prior to structural encoding (80180 msec) and again in the period associated with automatic orienting and emotion encoding (230330 msec), which followed the reverse frontal to temporo-occipital topography. Higher levels of trait anxiety (in the clinical range) were distinguished by a heightened bias to covert fear (speeding of early ERPs), compared to higher depression which was associated with an opposing bias to overt fear (slowing of later ERPs). Anxiety also heightened early responses to covert fear, and depression to overt fear, with subsequent deficits in emotion encoding in each case. These findings are consistent with neural biases to signals of fear which operate automatically and during controlled processing, feasibly supported by parallel networks. Heightened automatic biases in anxiety may contribute to a cycle of hypervigilance and anxious thoughts, whereas depression may represent a burnt out emotional state in which evaluation of fear stimuli is prolonged only when conscious attention is allocated.

EEG alpha asymmetry in schizophrenia, depression, PTSD, panic disorder, ADHD and conduct disorder.

Models of laterality infer distinct aspects of EEG alpha asymmetry in clinical disorders, which has been replicated for over three decades. This biomarker now requires a more fine-grained assessment of its clinical utility as a diagnostic and treatment predictive marker. Here, within the same study we assessed resting brain laterality across six clinical disorders, for which deviant laterality has been implicated as core dysfunction. These disorders were evaluated in comparison to a large normative dataset (∼1,900) from the Brain Resource International Database. EEG alpha asymmetry was assessed in the frontocentral region, for resting Eyes Closed and Eyes Open conditions. Schizophrenia was characterized by significantly greater left lateralized alpha power than controls, indicating a deficit in left frontal activity at rest, which may relate to “disconnections” across wider fronto-temporal networks. The depression group showed a trend-level tendency towards the opposite pattern of greater right-lateralized activity than controls. The remaining anxiety and behavioral disorders did not show any significant deviance in alpha asymmetry from the normative control group. However, at a non-significant level laterality for these groups was generally consistent with expected directions, suggesting a propensity towards a particular lateralization but still remaining within the normative range. Overall, the results of the current study indicate that EEG alpha asymmetry may show the most clinical utility as a biomarker for schizophrenia and depression in comparison to other clinical disorders.

EEG alpha asymmetry as a gender-specific predictor of outcome to acute treatment with different antidepressant medications in the randomized iSPOT-D study

OBJECTIVE To determine whether EEG occipital alpha and frontal alpha asymmetry (FAA) distinguishes outpatients with major depression (MDD) from controls, predicts antidepressant treatment outcome, and to explore the role of gender. METHODS In the international Study to Predict Optimized Treatment in Depression (iSPOT-D), a multi-center, randomized, prospective open-label trial, 1008 MDD participants were randomized to escitalopram, sertraline or venlafaxine-extended release. The study also recruited 336 healthy controls. Treatment response was established after eight weeks and resting EEG was measured at baseline (two minutes eyes open and eyes closed). RESULTS No differences in EEG alpha for occipital and frontal cortex, or for FAA, were found in MDD participants compared to controls. Alpha in the occipital and frontal cortex was not associated with treatment outcome. However, a gender and drug-class interaction effect was found for FAA. Relatively greater right frontal alpha (less cortical activity) in women only was associated with a favorable response to the Selective Serotonin Reuptake Inhibitors escitalopram and sertraline. No such effect was found for venlafaxine-extended release. CONCLUSIONS FAA does not differentiate between MDD and controls, but is associated with antidepressant treatment response and remission in a gender and drug-class specific manner. SIGNIFICANCE Future studies investigating EEG alpha measures in depression should a-priori stratify by gender.

Reduction of autonomic regulation in children and adolescents with conversion disorders.

Objective Conversion symptoms—functional neurological disturbances of body function—occur in association with extreme arousal, often in the context of emotional distress. The mechanisms that determine how and why such symptoms occur remain unknown. In this study, we used cardiac measures to assess arousal and cardiac autonomic regulation in children and adolescents who presented with acute conversion symptoms. Methods Heart rate was recorded in 57 children and adolescents (41 girls; 8.5–18 years old) with acute conversion symptoms and 57 age- and sex-matched healthy controls, during a resting condition and then during tasks involving cognitive and emotional activation. Arousal and autonomic regulation were assessed by measures of heart rate and heart rate variability. Psychological measures included attachment and emotional distress. Results Children and adolescents with conversion symptoms displayed higher autonomic arousal than did the controls, both at baseline and during task conditions (higher heart rate: baseline mean [standard deviation] = 82 [9.49] versus 74 [10.79] beats/min, p < .001; lower root mean squared successive differences–heart rate variability: 45.35 [27.97] versus 58.62 [25.69] ms2, p = .012; and lower high-frequency heart rate variability: 6.50 [1.19] versus 7.01 [0.95] ln[ms2] p = .017), and decreased autonomic regulation (attenuation of heart rate increases across tasks). The baseline pattern of increased autonomic arousal was especially pronounced in children with coercive-preoccupied patterns of attachment. Autonomic measures were not correlated with measures of emotional distress. Conclusions High autonomic arousal may be a precondition for generating conversion symptoms. Functional dysregulations of the cardiac, respiratory, and circulatory systems may mediate fainting episodes and nonepileptic seizures, and aberrant patterns of functional connectivity between motor areas and central arousal systems may be responsible for generating motor conversion symptoms.

Conversion disorder in children and adolescents: A disorder of cognitive control

OBJECTIVE To assess cognitive function in children and adolescents presenting with acute conversion symptoms. METHODS Fifty-seven participants aged 8.5-18 years (41 girls and 16 boys) with conversion symptoms and 57 age- and gender-matched healthy controls completed the IntegNeuro neurocognitive battery, an estimate of intelligence, and self-report measures of subjective emotional distress. RESULTS Participants with conversion symptoms showed poorer performance within attention, executive function, and memory domains. Poorer performance was reflected in more errors on specific tests: Switching of Attention (t(79) = 2.17, p = .03); Verbal Interference (t(72) = 2.64, p = .01); Go/No-Go (t(73) = 2.20, p = .03); Memory Recall and Verbal Learning (interference errors for memory recall; t(61) = 3.13, p < .01); and short-delay recall (t(75) = 2.05, p < .01) and long-delay recall (t(62) = 2.24, p = .03). Poorer performance was also reflected in a reduced span of working memory on the Digit Span Test for both forward recall span (t(103) = -3.64, p < .001) and backward recall span (t(100) = -3.22, p < .01). There was no difference between participants and controls on IQ estimate (t(94) = -589, p = .56), and there was no correlation between cognitive function and perceived distress. CONCLUSIONS Children and adolescents with acute conversion symptoms have a reduced capacity to manipulate and retain information, to block interfering information, and to inhibit responses, all of which are required for effective attention, executive function, and memory.