Relationship between body mass index and brain volume in healthy adults

There is a growing evidence that elevated body mass index (BMI) is associated with adverse neurocognitive outcome, though no study has examined whether morphometric differences are found in persons across the adult life span. We compared 201 healthy individuals in normal weight, overweight, and obese groups (aged 17-79). After correcting for demographic differences, obese individuals showed smaller whole brain and total gray matter volume than normal weight and overweight individuals. These findings support an independent relationship between BMI and brain structure and demonstrate that these differences are not limited to older adults.     

Body mass index in essential tremor

BACKGROUND: The pathogenesis of essential tremor (ET) is unknown, but it could be neurodegenerative. Weight loss has been observed in patients with neurodegenerative diseases. OBJECTIVES: To compare body mass index (BMI) (calculated as weight in kilograms divided by the square of height in meters) in ET cases and controls and to determine whether BMI is correlated with tremor severity and duration. METHODS: Patients with ET were ascertained from the Neurological Institute of New York, New York, NY. Control subjects were recruited from 2 studies at the same institution. Height and weight were measured and BMI was calculated. Dietary data were collected using a Willett Semi-Quantitative Food-Frequency Questionnaire. Tremor severity was assessed using a clinical scale and the Klove Matthews Motor Steadiness Battery. RESULTS: The 78 cases and 242 controls were of similar age. Mean (SD) BMI in cases vs controls was 26.5 (5.0) vs 28.2 (4.8) (P =.008). This difference remained significant in an unconditional linear regression analysis that adjusted for age, sex, ethnicity, and years of education (P =.02). Mean daily caloric intake was similar in cases and controls. In cases, BMI was negatively correlated with both measures of tremor severity (r = -0.22; P =.05 and r = -0.24; P =.03) and with tremor duration (r = -0.22; P =.05). CONCLUSIONS: The BMI was lower in ET cases than in controls, and lower BMI was associated with disease of greater severity and longer duration. Caloric intake did not differ between groups, suggesting that lower BMI is not due to a reduction in calories. Lower BMI may be due to increased energy expenditure in ET.     

The relationship between measurement of in vivo brain glutamate and markers of iron metabolism: A proton magnetic resonance spectroscopy study in healthy adults

Fundamental human studies which address associations between glutamate and iron metabolism are needed. Basic research reports associations between glutamate and iron metabolism. Human studies report sex differences in iron metabolism and glutamate concentrations, which suggest that these relationships may differ by sex. We hypothesised associations would be apparent between in vivo glutamate and peripheral markers of iron metabolism, and these associations would differ by sex. To test this, we recruited 40 healthy adults (20 men, 20 women) and measured (a) standard clinical biomarker concentrations for iron metabolism and (b) an in vivo proxy for glutamate concentration, glutamate with glutamine in relation to total creatine containing metabolites using proton magnetic resonance spectroscopy studies with a two‐dimensional chemical shift imaging slice, with voxels located in bilateral dorsolateral prefrontal cortices, anterior cingulate cortices and frontal white matter. Only the female group reported significant associations between peripheral markers of iron metabolism and Glx:tCr concentration: (a) right dorsolateral prefrontal cortex Glx:tCr associated positively with serum transferrin (r = .60, p = .006) and negatively with transferrin saturation (r = ?.62, p = .004) and (b) right frontal white matter Glx:tCr associated negatively with iron concentration (r = ?.59, p = .008) and transferrin saturation (r = ?.65, p = .002). Our results support associations between iron metabolism and our proxy for in vivo glutamate concentration (Glx:tCr). These associations were limited to women, suggesting a stronger regulatory control between iron and glutamate metabolism. These associations support additional fundamental research into the molecular mechanisms of this regulatory control.     

Alterations of white matter integrity in adults with major depressive disorder: a magnetic resonance imaging study

Objective

The purpose of our study was to investigate alterations of white matter integrity in adults with major depressive disorder (MDD) using magnetic resonance imaging (MRI).

Methods

We performed diffusion tensor imaging with a 3T MRI scanner on 45 patients with major depression and 45 healthy controls matched for age, sex and education. Using a voxel-based analysis, we measured the fractional anisotropy (FA), and we investigated the differences between the patient and control groups. We examined the correlations between the microstructure abnormalities of white matter and symptom severity, age of illness onset and cumulative illness duration, respectively.

Results

We found a significant decrease in FA in the left hemisphere, including the anterior limb of the internal capsule and the inferior parietal portion of the superior longitudinal fasciculus, in patients with MDD compared with healthy controls. Diffusion tensor imaging measures in the left anterior limb of the internal capsule were negatively related to the severity of depressive symptoms, even after we controlled for age and sex.

Conclusion

Our findings provide new evidence of microstructural changes of white matter in non–late-onset adult depression. Our results complement those observed in late-life depression and support the hypothesis that the disruption of cortical– subcortical circuit integrity may be involved in the etiology of major depressive disorder.Medical subject headings: depressive disorder, major; magnetic resonance imaging; brain diseases     

Body mass index and mental health problems in general adults: disparity in gender and socioeconomic status

ObjectiveThis nationwide population-based study aims to evaluate the association between Body Mass Index (BMI) and mental health problems, and to investigate the effects of gender and socioeconomic status (SES) on this association.MethodsThis study was a longitudinal study. 12,862 adults (aged 18 years or older), who responded to the 2001 National Health Interview Survey (NHIS) and gave consent to the linking of the survey data to their National Health Insurance (NHI) claims records, were included. The 2002–2004 NHI claims records of the sample were analyzed. Logistic regression was used to evaluate the odds ratios. Those with middle and high income (per capita annual household income ≧ US$9375) in the sample were referred to as the better-offs.ResultsAfter adjustment, increased BMI was significantly associated with a higher risk of schizophrenia (OR: 1.14, 95% CI: 1.07–1.22) and a lower risk of mood disorder (OR: 0.95, 95% CI: 0.91–0.99) in women. In addition, a higher BMI was significantly associated with a lower risk of mood disorders (risk reduction: 6%) and a lower risk of any major mental health problem (risk reduction: 3%) among the better-offs.ConclusionsIn contrast to other (cross-sectional) studies in other countries, our longitudinal results suggest that in a general Taiwanese population, the association between BMI and mental health may vary by type of mental health problems. Gender and SES may have influenced this relationship. Further studies are required to elucidate the biological or social factors underlying these empirical observations.     

Depressive symptoms and brain volumes in older adults: a longitudinal magnetic resonance imaging study

Background

Late-life depression is associated with decreased brain volumes, particularly in frontal and temporal areas. Evidence suggests that depressive symptoms at a subclinical level are also associated with brain atrophy in these regions, but most of these associations are based on cross-sectional data. Our objective was to investigate both cross-sectional and longitudinal relations between sub-threshold depressive symptoms and brain volumes in older adults and to examine whether these associations are modified by age.

Methods

In total, 110 dementia-free adults from the neuroimaging substudy of the Baltimore Longitudinal Study of Aging aged 56 years and older at baseline participated in this study. Participants received annual evaluations for up to 9 years, during which structural magnetic resonance imaging (MRI) scans were acquired and depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale.

Results

Mean depressive symptom scores over time were associated with grey matter volume reductions in the left temporal lobe. Depressive symptoms were associated with brain volume reductions with advancing age in the cingulate gyrus and orbitofrontal cortex. Moreover, individuals with higher mean depressive symptom scores showed a faster rate of volume decline in left frontal white matter. Depressive symptoms were not associated with hippocampus volumes.

Limitations

Limitations include the relative homogeneity of our primarily white and highly educated sample, the lack of information about age at onset of depressive symptoms and potential limitations of the automated brain volume registration.

Conclusion

Our results suggest that depressive symptoms, even at a subthreshold level, are associated with volume reductions in specific frontal and temporal brain regions, particularly with advancing age.     

White matter structural integrity in healthy aging adults and patients with Alzheimer disease: a magnetic resonance imaging study

BACKGROUND: Imaging and postmortem studies suggest that frontal lobe white matter (FLWM) volume expands until about the age of 44.6 years and then declines. Postmortem evidence indicates that the structural integrity of myelin sheaths deteriorates during normal aging, especially in late myelinating regions such as the frontal lobes. OBJECTIVES: To assess the integrity of FLWM by magnetic resonance imaging and, thus, to provide an important index of brain aging and its relationship to Alzheimer disease (AD). DESIGN: Cross-sectional study. SETTING: Two metropolitan university hospitals and AD research centers. PARTICIPANTS: Two hundred fifty-two healthy adults (127 men and 125 women), aged 19 to 82 years, and 34 subjects with AD (16 men and 18 women), aged 59 to 85 years. MAIN OUTCOME MEASURE: Calculated transverse relaxation rate (R( 2)) of the FLWM (an indirect measure of the structural integrity of white matter). RESULTS: As expected from prior imaging data on FLWM volume, the quadratic function best represented the relationship between age and the FLWM R(2) (P<.001). In healthy individuals, the FLWM R(2) increased until the age of 38 years and then declined markedly with age. The R( 2) of subjects with AD was significantly lower than that of a group of healthy control subjects who were of similar age and sex (P<.001). CONCLUSIONS: The R(2) changes in white matter suggest that the healthy adult brain is in a constant state of change, roughly defined as periods of maturation continuing into middle age followed by progressive loss of myelin integrity. Clinically diagnosed AD is associated with more severe myelin breakdown. Noninvasive measures, such as the determination of the R(2), may have the potential to track prospectively the trajectory of deteriorating white matter integrity during normal aging and the development of AD and, thus, may be a useful marker for medication development aimed at the prevention of AD.     

Intraoperative magnetic resonance imaging and magnetic resonance imaging-guided therapy for brain tumors

Since their introduction into surgical practice in the mid 1990s, intraoperative MRI systems have evolved into essential, routinely used tools for the surgical treatment of brain tumors in many centers. Clear delineation of the lesion, "under-the-surface" vision, and the possibility of obtaining real-time feedback on the extent of resection and the position of residual tumor tissue (which may change during surgery due to "brain-shift") are the main strengths of this method. High-performance computing has further extended the capabilities of intraoperative MRI systems, opening the way for using multimodal information and 3D anatomical reconstructions, which can be updated in "near real time." MRI sensitivity to thermal changes has also opened the way for innovative, minimally invasive (LASER ablations) as well as noninvasive therapeutic approaches for brain tumors (focused ultrasound). Although we have not used intraoperative MRI in clinical applications sufficiently long to assess long-term outcomes, this method clearly enhances the ability of the neurosurgeon to navigate the surgical field with greater accuracy, to avoid critical anatomic structures with greater efficacy, and to reduce the overall invasiveness of the surgery itself.     

Body mass index in persons with schizophrenia.

BACKGROUND: Schizophrenia has been associated with several health concerns and risks. Overall mortality among persons with schizophrenia has been shown to be about twice that of the general population. There is growing concern that persons with schizophrenia may also be at risk for being overweight or obese, compared with the general population. To examine this possibility, the author compared the distribution of body mass index values (BMI = kg/m2) in people with schizophrenia with that of the Canadian population as a whole. METHOD: Weights and heights were obtained for 183 patients receiving treatment in a hospital-based program for persons with schizophrenia. These BMI values were compared with the results of Statistics Canada's 1996-1997 National Population Health Survey (NPHS), which provided average BMI values for the general population. RESULTS: The average BMI in the study sample was 29.02, with the average for men being 28.49 (range 15.55 to 49.22, SD 6.25) and the average for women, 30.02 (range 19.30 to 45.71, SD 6.45). This is compared with the NPHS average BMI of 26.3 for men and 24.3 for women. The prevalence of obesity (BMI > 30) in the sample was 42.08%, 3.5 times that of the Canadian average of 12% and 2.8 times that of the 15% prevalence in Manitoba. In this sample, 26.78% had a BMI in the acceptable range, in contrast to the 48% of those in the NPHS who had a weight appropriate to their height. CONCLUSIONS: This analysis provides evidence that the BMI distribution of the sample population is different from that of the national population as represented in the NPHS data. The data indicate that patients with schizophrenia are significantly heavier than the general population.     

Body mass index correlates negatively with white matter integrity in the fornix and corpus callosum: A diffusion tensor imaging study

Overweight or obese body habitus is associated with cognitive deficits, impaired brain function, gray matter atrophy, and white matter (WM) hyperintensities. However, few diffusion tensor imaging (DTI) studies have assessed WM integrity in relation to overweight or obese status. This study assessed relationships between body mass index (BMI) and values of DTI parameters among 51 normal weight (lean), overweight, and obese participants who were otherwise healthy. BMI correlated negatively with fractional anisotropy and axial eigenvalues (λ₁) in the body of corpus callosum (CC), positively with mean diffusivity and radial eigenvalues (λ_?) in the fornix and splenium of CC, and positively with λ₁ in the right corona radiata (CR) and superior longitudinal fasciculus (SLF). These data indicate that BMI correlates negatively with WM integrity in the fornix and CC. Furthermore, the different patterns of BMI‐related differences in DTI parameters at the fornix, body, and splenium of the CC, and the right CR and SLF suggest that different biological processes may underlie BMI‐related impairments of WM integrity in different brain regions. Hum Brain Mapp, 2013. © 2011 Wiley Periodicals, Inc.     

Body mass index and future schizophrenia in Israeli male adolescents

BACKGROUND: Compared with the general population, individuals suffering from schizophrenia are more likely to be overweight, a finding attributed to the effect of antipsychotic medications, poor nutrition, and sedentary lifestyle. As evidence accumulates indicating that some aspects of the illness manifest before the onset of psychosis and establishment of the diagnosis, it has been suggested that increased weight, like other metabolic dysfunctions, might precede active illness. METHOD: Data on height and weight of 203,257 male adolescents assessed by the Israeli Draft Board, and followed for 2-6 years for later hospitalization for schizophrenia using the Israeli National Psychiatric Hospitalization Case Registry, were analyzed. RESULTS: From the entire cohort, 309 (0.15%) were later hospitalized for schizophrenia (ICD-10). After removing adolescents with evidence of illness before or within 1 year of the Draft Board assessment, 204 future schizophrenia patients were available for analysis. Compared with the rest of the cohort, future schizophrenia patients had lower body mass indexes (21.24 +/- 3.3 kg/m2 vs. 21.77 +/- 3.5 kg/m2; F = 4.682, df = 1, p = .03) and weighed slightly but significantly less (64.2 +/- 11.6 kg vs. 66.3 +/- 12.0 kg; F = 6.615, df = 1, p = .01). The mean height of the future patients did not differ significantly from the mean height of the remaining cohort (173.63 +/- 6.7 cm vs. 174.40 +/- 6.9 cm; F = 2.520, df = 1, p = .112). When reanalyzing the data, controlling for physical activity and socioeconomic status, the differences between the groups remained significant. CONCLUSION: Before the onset of illness, future schizophrenia patients are not heavier compared with their peers. This implies that the increased weight of patients with schizophrenia is related to illness effects, including the effects of antipsychotic medication.