The interaction between depression diagnosis and BMI is related to altered activation pattern in the right inferior frontal gyrus and anterior cingulate cortex during food anticipation.

BACKGROUND: Depression and overweight/obesity often cooccur but the underlying neural mechanisms for this bidirectional link are not well understood. METHODS: In this functional magnetic resonance imaging study, we scanned 54 individuals diagnosed with depressive disorders (DD) and 48 healthy controls (HC) to examine how diagnostic status moderates the relationship between body mass index (BMI) and brain activation during anticipation and pleasantness rating of food versus nonfood stimuli. RESULTS: We found a significant BMI-by-diagnosis interaction effect on activation in the right inferior frontal gyrus (RIFG) and anterior cingulate cortex (ACC) during food versus nonfood anticipation (p < .0125). Brain activation in these regions was greater in HC with higher BMI than in HC with lower BMI. Individuals with DD showed an opposite pattern of activation. Structural equation modeling revealed that the relationship between BMI, activation in the RIFG and ACC, and participants' desire to eat food items shown in the experiment depended on the diagnostic status. CONCLUSIONS: Considering that food anticipation is an important component of appetitive behavior and that the RIFG and ACC are involved in emotion regulation, response inhibition and conflict monitoring necessary to control this behavior, we propose that future clinical trials targeting weight loss in DD should investigate whether adequate mental preparation positively affects subsequent food consumption behaviors in these individuals.

Acute neurotoxicology of drugs of abuse.

Many substances can affect the central nervous system, and may cause patients to become critically ill. Acute central neurotoxicologic syndromes associated with drugs of abuse are usually caused by an overdose of sedative-hypnotic agents (including alcohol) or opioids, withdrawal from sedative-hypnotic agents, or an overdose of anticholinergic or sympathomimetic agents. Clinical findings are often syndromic, making physical examination the most important diagnostic tool in the approach to the patient with an unknown ingestion. Treatment focusses on supportive care as the most important intervention for all such patients, augmented by antidotal therapy when appropriate.

Preoperative lifestyle intervention in bariatric surgery: initial results from a randomized, controlled trial.

OBJECTIVE: To document preoperative outcomes of a behavioral lifestyle intervention delivered to patients prior to bariatric surgery in comparison to treatment as usual (insurance-mandated physician supervised diet). DESIGN AND METHODS: After completing a baseline assessment, candidates for surgery were randomized to a 6-month, evidence-informed, manualized lifestyle intervention (LIFESTYLE, n = 121) or to preoperative care as usual (USUAL CARE, n = 119). At 6 months, 187 participants remained candidates for bariatric surgery and were included in the analyses. RESULTS: LIFESTYLE participants lost significantly more weight than those receiving USUAL CARE [8.3 ± 7.8 kg vs. 3.3 ± 5.5 kg, F(1,183) = 23.6, P < 0.0001], with an effect size of 0.72. Additionally, logistic regression modeling indicated that LIFESTYLE patients were significantly more likely to lose at least 5% of initial body weight than those in USUAL CARE [OR (95% CI) = 2.94 (1.253, 6.903)], as were participants who were heavier [OR (95% CI) = 1.07 (1.001-1.14) for each unit increase in BMI] or with larger improvements in eating behaviors [OR (95% CI) = 1.1 (1.049, 1.145) for each unit increase on the Eating Behavior Inventory). CONCLUSIONS: A behavioral lifestyle intervention for severely overweight individuals leads to clinically significant weight loss prior to bariatric surgery. Post-surgery follow-up will allow us to examine the impact of the preoperative intervention on postoperative outcomes.

Self-reported binge eating in severe pediatric obesity: impact on weight change in a randomized controlled trial of family-based treatment.

OBJECTIVE: This study sought to document self-reported binge eating in a large sample of severely obese children and to examine the impact of binge eating on changes in percent overweight among children randomized to family-based behavioral treatment (intervention) versus control (usual care). PARTICIPANTS AND METHODS: As part of a larger randomized controlled trial, 192 children aged 8-12 years (M=10.2, s.d.=1.2) with a mean body mass index (BMI) percentile of 99.2 (s.d.=0.7) completed assessments at baseline and 6-, 12-, and 18 months post-randomization. A parent or guardian also participated. Child psychological symptoms, including binge eating, were measured before randomization using self-report questionnaires. Child height and weight were measured at baseline, 6-, 12-, and 18 months. The primary study outcome was percent overweight (that is, percent over median BMI for age and sex). RESULTS: Twenty-two children (11.5%) endorsed binge eating at baseline (Binge Eating Group). Children in the Binge Eating Group were younger and had more depressive, anxiety, and eating disorder symptoms, and lower self-esteem than children in the rest of the sample (No Binge Eating Group). There also were differences between the Binge Eating and No Binge Eating groups with respect to the short-term effects of treatment group assignment on change in percent overweight during the study. Specifically, improvements in percent overweight in the intervention condition relative to usual care were documented in the No Binge Eating Group only. Among children in the Binge Eating Group, those assigned to intervention showed a 2.6% increase in percent overweight, on average, at the completion of acute treatment as compared to an 8.5% decrease among children without binge eating. However, these effects were not maintained during follow-up. CONCLUSION: Results of this study suggest the importance of considering binge eating in the development of weight management programs for severely obese youth.

Do changes in mood and concerns about weight relate to smoking relapse in the postpartum period?

The majority of women who quit smoking during pregnancy will resume smoking during the postpartum period. Little is known, however, about the predictors of postpartum relapses to smoking. Changes in mood and increases in concerns about weight are common during the postpartum period, and these factors may affect women's postpartum smoking behavior. In this paper, we present a model of the relationship among mood, weight concerns and postpartum smoking. Data from previous postpartum relapse prevention trials are reviewed and evidence of a connection between changes in mood and weight concerns to postpartum relapse is presented. Directions for future research on the prevention of smoking relapses during the postpartum period, and the roles of mood and weight concerns in smoking relapse are presented.

Is family-based behavioral weight control appropriate for severe pediatric obesity?

OBJECTIVE: Although the efficacy of family-based behavioral treatment for moderate pediatric obesity has been well established, few studies have focused on the treatment of severe obesity. We sought to evaluate the acceptability and feasibility of a family-based intervention for severely obese children. METHOD: Twenty-four families with children aged 8-12 years who were > or =160% of their ideal body weight participated in a 10-12-session behavioral intervention. Participants were weighed and their heights measured at the start of each treatment session and during a follow-up visit 4-13 (M = 7.8) months posttreatment. Children also completed measures of depressive symptoms and anxiety at pretreatment, posttreatment, and follow-up, and eating attitudes were assessed at pretreatment and follow-up. RESULTS: One third of the families did not complete treatment. However, children who completed the program lost a significant amount of weight and reported significant improvements in depression, anxiety, and eating attitudes that were maintained over time. DISCUSSION: A short-term, family-based behavioral intervention was successful in moderating weight gain for most children and had positive effects on children's mood and eating disorder symptoms. Future randomized, controlled trials of longer interventions are necessary to determine the success of this approach.

Attentional function as measured by a Continuous Performance Task in children with dyscalculia.

This study determined whether or not students with dyscalculia had difficulty with attention as measured by the Conners' Computerized Continuous Performance Test (CPT). Fifty-six control subjects and 27 subjects with dyscalculia were administered the CPT. Performance was measured using percent omission errors, percent commission errors, mean response time, SE of response times (SE-RT), and a calculated overall attention index (CPT Index). Compared with controls, subjects with dyscalculia had higher CPT Index scores, made more omission errors, and had more inconsistent response times (SE-RT). Multiple regression analysis of arithmetic scores showed that SE-RT and percent commission errors were the only CPT measures that contributed to the arithmetic scores. Problems with attention, as measured by the Conners' CPT, were associated with lower arithmetic achievement scores. Students who have difficulties in arithmetic may have more attentional problems than other children, and students with attentional difficulties may be at risk for difficulties in arithmetic.

The characteristics of women smokers concerned about postcessation weight gain.

Concern about weight gain after quitting smoking is common among women, however, little is known about the characteristics of women concerned about this weight gain. We characterized concerns about smoking and weight, smoking behaviors and eating attitudes among weight-concerned women smokers. Women (N= 219) were participants in a larger trial comparing different approaches to treating postcessation weight gain concerns, and endorsed considerable concern about postcessation weight gain. Women completed assessments of smoking behavior, nicotine dependence and eating attitudes prior to beginning treatment. Although weight-concerned women smokers expected to gain 16.5 lb after quitting, most were willing to tolerate a weight gain of only 5 lb. A substantial number expressed unwillingness to gain any weight at all. However, weight-concerned women did not have elevated nicotine dependency or aberrant eating attitudes. Thus, although weight-concerned women smokers expected to gain large amounts of weight after quitting, they expressed a willingness to tolerate only minimal weight gain. The discrepancy between expected and tolerable weight gain may undermine efforts to quit smoking in this group of women.

Cognitive-behavioral therapy to reduce weight concerns improves smoking cessation outcome in weight-concerned women.

Women smokers concerned about weight gain (N = 219) were randomly assigned to 1 of 3 adjunct treatments accompanying group smoking cessation counseling: (a) behavioral weight control to prevent weight gain (weight control); (b) cognitive-behavioral therapy (CBT) to directly reduce weight concern, in which dieting was discouraged; and (c) standard counseling alone (standard), in which weight gain was not explicitly addressed. Ten sessions were conducted over 7 weeks, and no medication was provided. Continuous abstinence was significantly higher at posttreatment and at 6 and 12 months of follow-up for CBT (56%, 28%, and 21%, respectively), but not for weight control (44%, 18%, and 13%, respectively), relative to standard (31%, 12%, and 9%, respectively). However, weight control, and to a lesser extent CBT, was associated with attenuation of negative mood after quitting. Prequit body mass index, but not change in weight or in weight concerns postquit, predicted cessation outcome at 1 year. In sum, CBT to reduce weight concerns, but not behavioral weight control counseling to prevent weight gain, improves smoking cessation outcome in weight-concerned women.

Eating behavior following stress in women with and without bulimic symptoms.

OBJECTIVE: This study examined the effects of an interpersonal stressor on subsequent calorie intake in females with (N = 20) and without (N = 20) significant bulimic symptomatology. METHOD: Subjects participated in two laboratory sessions that differed according to experimental condition (stress versus no stress), completed self-report measures of mood and anxiety before and after the experimental task, and were provided with an array of snack foods after each session. RESULTS: Counter to the hypothesis, women with bulimic symptoms did not differentially increase their intake when exposed to stress. However, results for the intake of each macronutrient indicated that both bulimic and control women increased their consumption of carbohydrates following the stressor. Thus, stress was related to increased carbohydrate consumption by all subjects but did not differentially affect the consumption of women with bulimic symptoms. CONCLUSIONS: It may be that women with bulimic symptoms are not differentially vulnerable to eating in response to stress or that current laboratory paradigms are unable to detect differences in eating following a stressor.

Addressing women's concerns about weight gain due to smoking cessation.

Specific concerns about weight gain following smoking cessation inhibit attempts to quit smoking, especially in women. However, adjunct interventions to prevent weight gain after cessation have generally been successful only in attenuating, rather than preventing, weight gain. More aggressive weight control adjuncts may be necessary to prevent cessation-induced weight gain. On the other hand, weight control programs have not been found to improve long-term smoking abstinence and, in fact, may actually impede abstinence, necessitating a search for alternative approaches to addressing weight concerns. Since the typical amount of weight gain is essentially trivial from a health standpoint, particularly when compared with the health benefits of quitting smoking, the most appropriate clinical strategy may be to combat the weight concerns themselves rather than the weight gain. A second alternative approach is to focus all treatment efforts on smoking cessation alone, to avoid placing excessive burdens on participants resulting from attempting simultaneous changes in multiple health behaviors (i.e., smoking and those related to weight). The rationales for these three clinical approaches to addressing concerns about weight gain-more effective weight control, direct reduction in weight concerns by cognitive-behavioral treatment, and smoking cessation only-are presented, followed by descriptions of the adjunct treatments based on these approaches currently being evaluated in a clinical outcome study with women trying to quit smoking.

Exercise in the treatment of binge eating disorder.

OBJECTIVE: In this study, we examined the effects of an exercise intervention in the treatment of obese women with binge eating disorder (BED). METHOD: Subjects were randomized to one of two 6-month treatment programs that included an identical exercise component (n = 44) or to a delayed treatment control condition (n = 33). Exercise level, binge eating frequency, and depressive symptomatology were assessed pre- and posttreatment. RESULTS: Women who received active treatment reported significantly greater increases in their weekly exercise frequency than did control subjects. At posttreatment, 81.4% of subjects who had received treatment were abstinent from binge eating. Compared to women who were not abstinent at posttreatment, abstinent women evidenced significant changes in exercise frequency and caloric expenditure. However, weight loss and improvements in depressive symptomatology were not related to exercise participation. DISCUSSION: These results suggest that exercise may be an important aspect of BED treatment and useful in promoting abstinence from binge eating.

Visual information processing in primate cone pathways. I. A model.

At the retinal level, the strategies utilized by biological visual systems allow them to outperform machine vision systems, serving to motivate the design of electronic or "smart" sensors based on similar principles. Design of such sensors in silicon first requires a model of retinal information processing which captures the essential features exhibited by biological retinas. In this paper, a simple retinal model is presented, which qualitatively accounts for the achromatic information processing in the primate cone system. The computer retina model exhibits many of the properties found in biological retinas such as data reduction through nonuniform sampling, adaptation to a large dynamic range of illumination levels, variation of visual acuity with illumination level, and enhancement of spatiotemporal contrast information. The main emphasis of the model presented here is to demonstrate how different adaptation mechanisms play a role in extending the operating range of the primate retina.

Visual information processing in primate cone pathways. II. Experiments.

For pt.I. see ibid., p.259-74. This paper presents the results of experiments performed to validate the computer retina model presented in part I. Experiments commonly performed by electrophysiologists on biological retinas are simulated and the computer retina outputs compared with published recordings of cells in biological (principally primate) retinas. Experiments with more complex stimuli further reveal how the computer retina enhances spatio-temporal contrast information and adapts to a wide range of illumination levels much like the primate retina.

Live cell image segmentation.

A major requirement of an automated, real-time, computer vision-based cell tracking system is an efficient method for segmenting cell images. The usual segmentation algorithms proposed in the literature exhibit weak performance on live unstained cell images, which can be characterized as being of low contrast, intensity-variant, and unevenly illuminated. We propose a two-stage segmentation strategy which involves: 1) extracting an approximate region containing the cell and part of the background near the cell, and 2) segmenting the cell from the background within this region. The approach effectively reduces the influence of peripheral background intensities and texture on the extraction of a cell region. The experimental results show that this approach for segmenting cell images is both fast and robust.