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Magnetic resonance imaging (MRI) studies of structural brain development have suggested that the limbic system is relatively preserved in comparison to other brain regions with healthy aging. The goal of this study was to systematically investigate age-related changes of the limbic system using measures of cortical thickness, volumetric and diffusion characteristics. We also investigated if the “relative preservation” concept is consistent across the individual sub-regions of the limbic system. T1 weighted structural MRI and Diffusion Tensor Imaging data from 476 healthy participants from the Brain Resource International Database was used for this study. Age-related changes in grey matter (GM)/white matter (WM) volume, cortical thickness, diffusional characteristics for the pericortical WM and for the fiber tracts associated with the limbic regions were quantified. A regional variability in the aging patterns across the limbic system was present. Four important patterns of age-related changes were highlighted for the limbic sub-regions: 1. early maturation of GM with late loss in the hippocampus and amygdala; 2. an extreme pattern of GM preservation in the entorhinal cortex; 3. a flat pattern of reduced GM loss in the anterior cingulate and the parahippocampus and; 4. accelerated GM loss in the isthmus and posterior cingulate. The GM volumetric data and cortical thickness measures proved to be internally consistent, while the diffusional measures provided complementary data that seem consistent with the GM trends identified. This heterogeneity can be hypothesized to be associated with age-related changes of cognitive function specialized for that region and direct connections to the other brain regions sub-serving these functions.

Background Clinically useful treatment moderators of Major Depressive Disorder (MDD) have not yet been identified, though some baseline predictors of treatment outcome have been proposed. The aim of iSPOT-D is to identify pretreatment measures that predict or moderate MDD treatment response or remission to escitalopram, sertraline or venlafaxine; and develop a model that incorporates multiple predictors and moderators. Methods/Design The International Study to Predict Optimized Treatment - in Depression (iSPOT-D) is a multi-centre, international, randomized, prospective, open-label trial. It is enrolling 2016 MDD outpatients (ages 18-65) from primary or specialty care practices (672 per treatment arm; 672 age-, sex- and education-matched healthy controls). Study-eligible patients are antidepressant medication (ADM) naïve or willing to undergo a one-week wash-out of any non-protocol ADM, and cannot have had an inadequate response to protocol ADM. Baseline assessments include symptoms; distress; daily function; cognitive performance; electroencephalogram and event-related potentials; heart rate and genetic measures. A subset of these baseline assessments are repeated after eight weeks of treatment. Outcomes include the 17-item Hamilton Rating Scale for Depression (primary) and self-reported depressive symptoms, social functioning, quality of life, emotional regulation, and side-effect burden (secondary). Participants may then enter a naturalistic telephone follow-up at weeks 12, 16, 24 and 52. The first half of the sample will be used to identify potential predictors and moderators, and the second half to replicate and confirm. Discussion First enrolment was in December 2008, and is ongoing. iSPOT-D evaluates clinical and biological predictors of treatment response in the largest known sample of MDD collected worldwide. Trial registration International Study to Predict Optimised Treatment - in Depression (iSPOT-D) ClinicalTrials.gov Identifier: NCT00693849

Magnetic resonance imaging (MRI) studies of structural brain development have suggested that the limbic system is relatively preserved in comparison to other brain regions with healthy aging. The goal of this study was to systematically investigate age-related changes of the limbic system using measures of cortical thickness, volumetric and diffusion characteristics. We also investigated if the “relative preservation” concept is consistent across the individual sub-regions of the limbic system. T1 weighted structural MRI and Diffusion Tensor Imaging data from 476 healthy participants from the Brain Resource International Database was used for this study. Age-related changes in grey matter (GM)/white matter (WM) volume, cortical thickness, diffusional characteristics for the pericortical WM and for the fiber tracts associated with the limbic regions were quantified. A regional variability in the aging patterns across the limbic system was present. Four important patterns of age-related changes were highlighted for the limbic sub-regions: 1. early maturation of GM with late loss in the hippocampus and amygdala; 2. an extreme pattern of GM preservation in the entorhinal cortex; 3. a flat pattern of reduced GM loss in the anterior cingulate and the parahippocampus and; 4. accelerated GM loss in the isthmus and posterior cingulate. The GM volumetric data and cortical thickness measures proved to be internally consistent, while the diffusional measures provided complementary data that seem consistent with the GM trends identified. This heterogeneity can be hypothesized to be associated with age-related changes of cognitive function specialized for that region and direct connections to the other brain regions sub-serving these functions.

The approach-withdrawal and valence-arousal models highlight that specific brain laterality profiles may distinguish depression and anxiety. However, studies remain to be conducted in multiple clinical populations that directly test the diagnostic specificity of these hypotheses. The current study compared electroencephalographic data under resting state, eyes closed conditions in patients with major depressive disorder(MDD)(N= 15) and post-traumatic stress disorder (PTSD) (N= 14) relative to healthy controls (N= 15) to examine the specificity of brain laterality in these disorders. Key findings included (1) reduced left-frontal activity in MDD, (2) a positive correlation between PTSD severity and right-frontal lateralisation, (3) greater activity in PTSD patients relative to MDD within the right-parietotemporal region, and (4) globally increased alpha power in MDD. Findings partially support the diagnostic applicability of the theoretical frameworks. Future studies may benefit from examining task-driven differences between groups.

Background: Depression will be the second largest burden of disease by 2020. Developing new tools for identifying risk and ultimately prevention of depression relies on elucidating the integrative relationships between susceptibility markers from gene-stress interactions and how they impact emotional brain and arousal systems. They have largely been studied in isolation. Methods: Weexaminedhowgenetic (brain-derived neurotrophic factor [BDNF] valine 66 to methionine [Val66Met] and serotonin receptor gene 3A [HTR3A]) and early life stress susceptibility factors interact in predicting electroencephalogram (EEG) asymmetry, emotion-elicited heart rate, and self-reported negativity bias, each correlates of risk for depression. Caucasian volunteers (n=363) were derived from the Brain Resource International Database, via the Brain Research And Integrative Neuroscience Network. Results: Individuals with both BDNF methionine and HTR3A CC risk genotypes and early life stressors demonstrated a profile of elevated emotion-elicited heart rate and right frontal hyper-activation with right parietotemporal hypoactivation in EEG asymmetry. Elevations in heart rate were a moderator of negativity bias. Conclusions: The findings providenewevidence that these gene-stress susceptibility factors contribute to a brain-arousal profile indicative of risk for depression. They are a step toward identifying biological markers for detecting risk before overt symptoms. It would be valuable for future studies to examine comorbidity and specificity issues; for instance, whether these gene-stress factors contribute in different ways to the partially distinct EEG asymmetry profiles found with anxiety.

Array

Recent studies suggest that resting posterior versus frontal EEG delta/theta activity (delta/theta Pz-Fz) is both sensitive to pharmacological manipulations of neural dopamine and associated with the agency facet of extraversion (i.e., a motivational disposition comprising enthusiasm, energy, assertiveness, achievement striving and social dominance). These observations suggest that posterior versus frontal resting EEG delta/theta activity may represent a useful marker for investigating the molecular genetic basis of extraversion. The present study aimed to test the novel hypothesis of an association between delta/theta Pz-Fz and a functional polymorphism of the enzyme catechol-O-methyltransferase (COMT VAL(158)MET) involved in dopamine catabolism. This was conducted in a large EEG data set from the Brain Resource International Database (BRID; resting EEG from N=1093 healthy individuals, 382 of which also genotyped for COMT VAL(158)MET). In summary, we (1) showed for the first time that the VAL allele is associated with increased delta/theta Pz-Fz; (2) replicated the association between extraversion and delta/theta Pz-Fz in a large, heterogeneous sample including both genders; and (3) documented that the VAL allele of the COMT VAL(158)MET is associated with increased extraversion scores, as previously reported for an overlapping BRID sample. This coherent pattern of findings adds further support to the suggestion that the posterior-anterior distribution of resting EEG slow wave activity in the delta/theta range represents a useful tool for probing the dopaminergic basis of extraversion.

We reviewed the evidence for emotion-related disturbances in anorexia nervosa (AN) from behavioural, cognitive, biological and genetic domains of study. These domains were brought together within the framework of an integrative neuroscience model that emphasizes the role of emotion and feeling and their regulation, in brain organization. PsychInfo and Medline searches were performed to identify published peer-reviewed papers on AN within each domain. This review revealed evidence for 'Emotion', 'Thinking and Feeling' and 'Self-regulation' disturbances in AN that span non-conscious to conscious processes. An integrative neuroscience framework was then applied to develop a model of AN, from which hypotheses for empirical investigation are generated. We propose that AN reflects a core disturbance in emotion at the earliest time stage of information processing with subsequent effects on the later stages of thinking, feeling and self-regulation.

Array

Disorders of the human brain, such as depression, schizophrenia and addiction, are the cause of immeasurable human suffering. As they are largely chronic and strike in youth, brain disorders lead to greater disability and loss of productivity than any other category of illness. On 24– 25 October 2009, leaders from the fields of research, medicine, industry, government and philanthropy convened at the Mayflower Hotel in Washington DC to launch an initiative fostering personalized medicine for the brain. The Mayflower Action Group Initiative was instigated by BRAINnet, a new non-profit foundation that provides a database on the human brain using standardized methods.

Although women have a greater propensity than men to develop posttraumatic stress disorder (PTSD) following trauma, sex differences in neural activations to threat have received little investigation. This study tested the prediction that trauma would heighten activity in automatic fear-processing networks to a greater extent in women than in men. Functional magnetic resonance imaging (fMRI) data were recorded in 23 participants with PTSD (13 women, 10 men), 21 trauma-exposed controls (9 women, 12 men), and 42 non-trauma-exposed controls (22 women, 20 men) while they viewed masked facial expressions of fear. Exposure to trauma was associated with enhanced brainstem activity to fear in women, regardless of the presence of PTSD, but in men, it was associated only with the development of PTSD. Men with PTSD displayed greater hippocampal activity to fear than did women. Both men and women with PTSD showed enhanced amygdala activity to fear relative to controls. The authors conclude that greater brainstem activation to threat stimuli may contribute to the greater prevalence of PTSD in women, and greater hippocampal activation in men may subserve an enhanced capacity for contextualizing fear-related stimuli.

Biases toward processing negative versus positive information vary as a function of level of awareness, and are modulated by monoamines. Excessive biases are associated with individual differences in mood and emotional stability, and emotional disorder. Here, we examined the impact of the catechol-o-methyltransferase (COMT) Val108/158Met polymorphism, involved in dopamine and norepinephrine catabolism, on both emotional brain function and self-reported negativity bias. COMT genotyping and self-reported level of negativity bias were completed for 46 healthy participants taking part in the Brain Resource International Database. Functional MRI was undertaken during perception of facial expressions of fear and happiness presented under unmasked (consciously identified) and masked (to prevent conscious detection) conditions. Structural MR images were also acquired. A greater number of COMT Met alleles predicted increased activation in brainstem, amygdala, basal ganglia and medial prefrontal regions for conscious fear, but decreased activation for conscious happiness. This pattern was also apparent for brainstem activation for the masked condition. Effects were most apparent for females. These differences could not be explained by gray matter variations. The Met-related profile of activation, particularly prefrontally, predicted greater negativity bias associated with risk for emotional disorder. The findings suggest that the COMT Met allele modulates neural substrates of negative versus positive emotion processing. This effect may contribute to negativity biases, which confer susceptibility for emotional disorders.

Measures of cognition support diagnostic and treatment decisions in attention deficit hyperactivity disorder. We used an integrative neuroscience framework to assess cognition and associated brain-function correlates in large attention deficit hyperactivity disorder and healthy groups. Matched groups of 175 attention deficit hyperactivity disorder children/adolescents and 175 healthy control subjects were assessed clinically, with the touch screen-based cognitive assessment battery "IntegNeuro" (Brain Resource Ltd., Sydney, Australia) and the "LabNeuro" (Brain Resource Ltd., Sydney, Australia) platform for psychophysiologic recordings of brain function and body arousal. IntegNeuro continuous performance task measures of sustained attention classified 68% of attention deficit hyperactivity disorder patients with 76% specificity, consistent with previous reports. Our additional cognitive measures of impulsivity, intrusive errors, inhibition, and response variability improved sensitivity to 88%, and specificity to 91%. Positive predictive power was 96%, and negative predictive power, 88%. These metrics were stable across attention deficit hyperactivity disorder subtypes and age. Consistent with their brain-based validity, cognitive measures were correlated with corresponding brain-function and body-arousal measures. We propose a combination of candidate cognitive "markers" that define a signature for attention deficit hyperactivity disorder: "sustained attention," "impulsivity," "inhibition," "intrusions," and "response variability." These markers offer a frame of reference to support diagnostic and treatment decisions, and an objective benchmark for monitoring outcomes of interventions.

OBJECTIVE:: To examine resting awake EEG in adolescent AN participants before and after refeeding to determine if EEG abnormalities in Anorexia Nervosa (AN) are reversible. METHOD:: In 37 adolescent first admission AN patients and 45 healthy controls, EEG was recorded during short duration "eyes open" and "eyes closed" awake resting conditions. Repeat testing occurred in 28 AN participants after refeeding and subsequent weight gain. RESULTS:: In "eyes open," underweight AN participants exhibit reduced relative alpha power and increased beta power in frontal brain regions. A significant increase in alpha, and decrease in beta and delta power was observed within participants after refeeding. In "eyes closed", underweight AN participants had elevated theta in parietal-occipital regions which remained after refeeding. DISCUSSION:: EEG abnormalities (reduced alpha/increased beta power) in AN normalizes with refeeding, while increased theta power persists in parietal-occipital regions in an eyes closed context. (c) 2010 by Wiley Periodicals, Inc. (Int J Eat Disord 2010).

We investigated the relationship between visual experience and temporal intervals of synchronized brain activity. Using high-density scalp electroencephalography, we examined how synchronized activity depends on visual stimulus information and on individual observer sensitivity. In a perceptual grouping task, we varied the ambiguity of visual stimuli and estimated observer sensitivity to this variation. We found that durations of synchronized activity in the beta frequency band were associated with both stimulus ambiguity and sensitivity: the lower the stimulus ambiguity and the higher individual observer sensitivity the longer were the episodes of synchronized activity. Durations of synchronized activity intervals followed an extreme value distribution, indicating that they were limited by the slowest mechanism among the multiple neural mechanisms engaged in the perceptual task. Because the degree of stimulus ambiguity is (inversely) related to the amount of stimulus information, the durations of synchronous episodes reflect the amount of stimulus information processed in the task. We therefore interpreted our results as evidence that the alternating episodes of desynchronized and synchronized electrical brain activity reflect, respectively, the processing of information within local regions and the transfer of information across regions.

Conversion disorder remains a long-standing puzzle concerning the interconnections of brain, mind, and body. Contemporary psychological assessments and neurophysiological techniques create a new window for investigating those interconnections, but the widely varying presentations of conversion disorder have made it difficult to isolate clinically well-defined groups for controlled studies. To overcome such difficulties, we propose an integrative framework to link the conceptualization of symptoms with levels of organization, as assessed by brain–body measures. We conceptualize conversion symptoms as the motor-sensory components of broader self-protective patterns of response—integrated sets of reactions involving physiological, motor-sensory, and psychological subcomponents—or their unwanted consequences. We describe a research program aimed at testing these relationships in children presenting with acute “conversion symptoms,” including somatoform pain. These relationships are examined using a standardized test battery that includes psychological measures (symptoms, attachment strategy, distress, daily function, life-event profile), measures of cognitive performance (on both general and emotional domains), and neurophysiological measures of brain and body function (including electroencephalogram, event-related potentials, heart rate, and skin conductance). Enrollment is under way for a minimum target of 40 children with acute conversion symptoms, 40 children with medically unexplained pain, and 40 healthy, matched controls. Our expectation is that these data will advance our understanding of conversion disorder and also improve the clinical care of this patient population.

Phonological theories of dyslexia assume a specific deficit in representation, storage and recall of phonemes. Various brain imaging techniques, including qEEG, point to the importance of a range of areas, predominantly the left hemispheric temporal areas. This study attempted to reduce reading and spelling deficits in children who are dyslexic by means of neurofeedback training based on neurophysiological differences between the participants and gender and age matched controls. Nineteen children were randomized into an experimental group receiving qEEG based neurofeedback (n = 10) and a control group (n = 9). Both groups also received remedial teaching. The experimental group improved considerably in spelling (Cohen's d = 3). No improvement was found in reading. An indepth study of the changes in the qEEG power and coherence protocols evidenced no fronto-central changes, which is in line with the absence of reading improvements. A significant increase of alpha coherence was found, which may be an indication that attentional processes account for the improvement in spelling. Consideration of subtypes of dyslexia may refine the results of future studies.

Activity in neural circuits is spatiotemporally organized. Its spatial organization consists of multiple, localized coherent patterns, or patchy clusters. These patterns propagate across the circuits over time. This type of collective behavior has ubiquitously been observed, both in spontaneous activity and evoked responses; its function, however, has remained unclear. We construct a spatially extended, spiking neural circuit that generates emergent spatiotemporal activity patterns, thereby capturing some of the complexities of the patterns observed empirically. We elucidate what kind of fundamental function these patterns can serve by showing how they process information. As self-sustained objects, localized coherent patterns can signal information by propagating across the neural circuit. Computational operations occur when these emergent patterns interact, or collide with each other. The ongoing behaviors of these patterns naturally embody both distributed, parallel computation and cascaded logical operations. Such distributed computations enable the system to work in an inherently flexible and efficient way. Our work leads us to propose that propagating coherent activity patterns are the underlying primitives with which neural circuits carry out distributed dynamical computation.

There is overlap between the behavioural symptoms and disturbances associated with Attention-Deficit/Hyperactivity Disorder (AD/HD) and sleep problems. The aim of this study was to examine the extent of overlap in cognitive and electrophysiological disturbances identified in children experiencing sleep problems and children with AD/HD or both. Four groups (aged 7-18) were compared: children with combined AD/HD and sleep problems (n=32), children with AD/HD (n=52) or sleep problems (n=36) only, and children with neither disorder (n=119). Electrophysiological and cognitive function measures included: absolute EEG power during eyes open and eyes closed, event-related potential (ERP) components indexing attention and working memory processes (P3), and a number of standard neuropsychological tests. Children with symptoms of both AD/HD and sleep problems had a different profile from those of children with either AD/HD or sleep problems only. These findings suggest it is unlikely that disturbances in brain and cognitive functioning associated with sleep problems also give rise to AD/HD symptomatology and consequent diagnosis. Furthermore, findings suggest that children with symptoms of both AD/HD and sleep problems may have a different underlying aetiology than children with AD/HD-only or sleep problems-only, perhaps requiring unique treatment interventions.

While posttraumatic stress disorder (PTSD) is often characterised by an excessive fear response and hyperarousal, research has generally neglected other clinical characteristics including hypoarousal. Findings indicate that concurrent autonomic activity is associated with increased non-conscious processing of fear, highlighting that autonomic responsivity may be an important determinant in the degree of activation within the brainstem-amygdala-MPFC (medial prefrontal cortex) network.

The prevalence and nature of post-traumatic stress disorder (PTSD) following mild traumatic brain injury (MTBI) is controversial because of the apparent paradox of suffering PTSD with impaired memory for the traumatic event. In this study, 1167 survivors of traumatic injury (MTBI: 459, No TBI: 708) were assessed for PTSD symptoms and post-traumatic amnesia during hospitalization, and were subsequently assessed for PTSD 3 months later (N = 920). At the follow-up assessment, 90 (9.4%) patients met criteria for PTSD (MTBI: 50, 11.8%; No-TBI: 40, 7.5%); MTBI patients were more likely to develop PTSD than no-TBI patients, after controlling for injury severity (adjusted odds ratio: 1.86; 95% confidence interval, 1.78-2.94). Longer post-traumatic amnesia was associated with less severe intrusive memories at the acute assessment. These findings indicate that PTSD may be more likely following MTBI, however, longer post-traumatic amnesia appears to be protective against selected re-experiencing symptoms.

To examine the impact of environmental stress on grey matter volume in posttraumatic stress disorder (PTSD), we investigated the relationship between duration of PTSD and grey matter volume of hippocampus and anterior cingulate cortex. Twenty-one participants with PTSD and 17 trauma-exposed controls, matched for age and sex and with no history of substance dependence, underwent a T1-weighted structural MRI scan and voxel-based morphometry was employed. After controlling for age, depression and whole-brain volume, analysis of covariance revealed significant reductions in hippocampus and rostral anterior cingulate cortex in PTSD, and there was a significant negative correlation between right hippocampal volume and PTSD duration. This pattern suggests that prolonged PTSD may have cumulative adverse effects on hippocampal volume, highlighting the potential role of genetic-environmental interactions.

Stability under dynamical changes to network connectivity is invoked alongside previous criteria to constrain brain network architecture. A new hierarchical network is introduced that satisfies all these constraints, unlike more commonly studied regular, random, and small-world networks. It is shown that hierarchical networks can simultaneously have high clustering, short path lengths, and low wiring costs, while being robustly stable under large scale reconnection of substructures.

Various empirical data suggest that individuals with Panic Disorder (PD) fail to appropriately assign significance to sensory stimuli within the internal and external milieu, including those stimuli which are patently threat-neutral. The failure to appropriately discriminate 'signal' stimuli from among 'noise' signals [Gordon, E., Liddell, B.J., Brown, K.J., Bryant, R., Clark, C.R., Das, P., et al. 2007. Integrating objective gene-brain-behavior markers of psychiatric disorders. J. Integr. Neurosci. 6, 1-34.] results in disturbances of information processing and attentional deployment, which manifests across multiple levels of functioning (e.g., brain, behaviour, autonomic). The present event-related potential (ERP) study, therefore, investigated attentive information processing in PD, using a standard two-tone auditory oddball paradigm, to assess patients' response to infrequent 'target' tones (i.e., signals) and frequent 'non-target' tones (i.e., noise). Simultaneously-recorded autonomic data provided converging measures of the concomitants of disordered information processing. PD patients (n=50) showed increased N1 amplitude to frequent non-target tones and reduced P3 amplitude to infrequent targets, compared to matched controls (n=98). There were no between-group differences for N1 targets, N2 or P2. Patients additionally showed increased heart rate, fewer spontaneous skin conductance responses (trend) to significant stimuli, and reduced P3 latency compared to controls, although the latter result was accounted for by patients who frequently experienced depersonalization and/or derealisation during panic. Patients showed several disturbances of attentive information processing in a simple auditory discrimination task: Increased N1 to repeated stimuli suggests impaired stimulus filtering, whereas reduced P3 amplitude and latency represent the under-allocation of neural resources for infrequent, goal-relevant stimuli, and their increased speed of processing, respectively. These disturbances likely contribute to patients' aversive outcomes in stimulus-rich environments.

OBJECTIVE: Schizophrenia is characterized by a deficit in context processing, with physiological correlates of hypofrontality and reduced amplitude P3b event-related potentials. We hypothesized an additional physiological correlate: differences in the spatio-temporal dynamics of cortical activity along the anterior-posterior axis of the scalp. METHODS: This study assessed latency topographies of spatio-temporal waves under task conditions that elicit the P3b. EEG was recorded during separate auditory and visual tasks. Event-related spatio-temporal waves were quantified from scalp EEG of subjects with first episode schizophrenia (FES) and matched controls. RESULTS: The P3b-related task conditions elicited a peak in spatio-temporal waves in the delta band at a similar latency to the P3b event-related potential. Subjects with FES had fewer episodes of anterior to posterior waves in the 2-4 Hz band compared to controls. Within the FES group, a tendency for fewer episodes of anterior to posterior waves was associated with high Psychomotor Poverty symptom factor scores. CONCLUSIONS: Subjects with FES had altered global EEG dynamics along the anterior-posterior axis during task conditions involving context update. SIGNIFICANCE: The directional nature of this finding and its association with Psychomotor Poverty suggest this result is related to findings of hypofrontality in schizophrenia.

The INTEGRATE Model draws on the framework of 'integrative neuroscience' to bring together brain-body and behavioral concepts of emotion, thinking and feeling and their regulation. The key organizing principle is the drive to 'minimize danger and maximize reward' that determines what is significant to us at each point in time. Traits of 'negativity bias' reflect the tendency to perceive danger rather than reward related information, and this bias influences emotion, thinking and feeling processes. Here, we examined a self-report measure of Negativity Bias in relation to its impact on brain and body correlates of emotion processing. The contributions of the serotonin transporter (5-HTT-LPR) allelic variants and early life stress to both negativity bias and these correlates were also examined. Data were accessed in collaboration with the Brain Resource International Database (BRID) which provides standardized data across these domains of measurement. From an initial sample of 303 nonclinical subjects from the BRID, subjects scoring one standard deviation below (n=55) and above (n=47) the mean on the measure of negativity bias were identified as 'Negativity Bias' and 'Positivity Bias' groups for analysis, respectively. These subjects had been genotyped for 5-HTT-LPR Short allele versus LL homozygote status, and completed the early life stress scale, and recording of startle responses and heart rate for conscious and nonconscious fear conditions. A matched subset (n=39) of BRID subjects completed functional MRI with the same facial emotion tasks. The Negativity Bias (compared to Positivity Bias) group was distinguished by both arousal and brain function correlates: higher startle amplitude, higher heart rate for conscious and nonconscious fear conditions, and heightened activation in neural circuitry for both fear conditions. Regions of heightened activation included brainstem and bilateral amygdala, anterior cingulate and ventral and dorsal medial prefrontal cortex (mPFC) for conscious fear, and brainstem and right-sided amygdala, anterior cingulate and ventral, mPFC for nonconscious fear. The 5-HTT-LPR Short allele (versus LL) conferred a similar pattern of arousal and neural activation. For those with the 5-HTT-LPR Short allele, the addition of early life stress contributed to enhanced negativity bias, and to further effects on heart rate and neural activation for nonconscious fear in particular. These findings suggest that traits of negativity bias impact brain-body arousal correlates of fear circuitry. Both genetic variation and life stressors contribute to the impact of negativity bias. Given that negativity bias is a feature of conditions such as depression and associated biological alterations, the findings have implications for translation into clinical decision support.

OBJECTIVE: Two centuries of clinical observations have suggested that conversion symptoms are associated with strong emotions or situations that threaten the individual's physical or psychological integrity. This study tested the hypothesis that childhood conversion reactions reflect the motor-sensory components of two distinct emotional responses (one inhibitory, one excitatory) that develop as adaptations to recurring threats within intimate relationships. METHOD: Emotional responses to interpersonal threats were assessed in 28 children with conversion disorders using Dynamic-Maturational-Model (DMM) assessments of attachment. Attachment strategies (the inhibitory, Type A; the balanced, Type B; and the excitatory, Type C) provide information about (1) the child's behavioural (motor-sensory) organization in the face of interpersonal threats, and (2) the information processing that underpins this behavioural organization. RESULTS: Twelve children (43%) used an inhibitory attachment strategy. Twelve (43%) used an excitatory attachment strategy. A smaller group (14%) alternated between inhibitory and excitatory strategies, their conversion symptoms reflecting the latter. DISCUSSION: These data suggest that conversion reactions are not a single clinical entity and reflect the motor-sensory components of two distinct human emotional responses to threat. This distinction may help to account for the broad range of conversion symptoms seen in clinical practice, both those that involve loss of function and can be explained by a central inhibition hypothesis and those that involve positive symptoms and secondary gain.

The stability of brain networks with randomly connected excitatory and inhibitory neural populations is investigated using a simplified physiological model of brain electrical activity. Neural populations are randomly assigned to be excitatory or inhibitory and the stability of a brain network is determined by the spectrum of the network's matrix of connection strengths. The probability that a network is stable is determined from its spectral density which is numerically determined and is approximated by a spectral distribution recently derived by Rajan and Abbott. The probability that a brain network is stable is maximum when the total connection strength into a population is approximately zero and is shown to depend on the arrangement of the excitatory and inhibitory connections and the parameters of the network. The maximum excitatory and inhibitory input into a structure allowed by stability occurs when the net input equals zero and, in contrast to networks with randomly distributed excitatory and inhibitory connections, substantially increases as the number of connections increases. Networks with the largest excitatory and inhibitory input allowed by stability have multiple marginally stable modes, are highly responsive and adaptable to external stimuli, have the same total input into each structure with minimal variance in the excitatory and inhibitory connection strengths, and have a wide range of flexible, adaptable, and complex behavior.