Dorsolateral prefrontal and anterior cingulate cortex volumetric abnormalities in adults with attention-deficit/hyperactivity disorder identified by magnetic resonance imaging.

OBJECTIVES: Gray and white matter volume deficits have been reported in a number of studies of children with attention-deficit/hyperactivity disorder (ADHD); however, there is a paucity of structural magnetic resonance imaging (MRI) studies of adults with ADHD. This structural MRI study used an a priori region of interest approach. METHODS: Twenty-four adults with DSM-IV ADHD and 18 healthy controls comparable on age, socioeconomic status, sex, handedness, education, IQ, and achievement test performance had an MRI on a 1.5T Siemens scanner. Cortical and sub-cortical gray and white matter were segmented. Image parcellation divided the neocortex into 48 gyral-based units per hemisphere. Based on a priori hypotheses we focused on prefrontal, anterior cingulate cortex (ACC) and overall gray matter volumes. General linear analyses of the volumes of brain regions, adjusting for age, sex, and total cerebral volumes, were used to compare groups. RESULTS: Relative to controls, ADHD adults had significantly smaller overall cortical gray matter, prefrontal and ACC volumes. CONCLUSIONS: Adults with ADHD have volume differences in brain regions in areas involved in attention and executive control. These data, largely consistent with studies of children, support the idea that adults with ADHD have a valid disorder with persistent biological features.     

Increased perceived stress is related to decreased prefrontal cortex volumes among older adults

Introduction: Several of the brain regions vulnerable to increased levels of stress (i.e., hippocampus and prefrontal cortex) are also known to undergo disproportionate decline during normal aging. To date, surprisingly little research has examined the effects of stress on the brain among healthy human populations, much less in the elderly. The aim of the current study was to investigate the relationship between chronic stress and brain morphometry in regions known for their involvement in the stress response, namely the prefrontal cortex, hippocampus, and amygdala, in a sample of healthy older adults. Method: The Perceived Stress Scale and structural magnetic resonance imaging (MRI) were collected in 28 older adult individuals aged 65 to 90 years. Gray and white matter volumes in various regions of interest in the prefrontal cortex and medial temporal lobes were calculated using semiautomated segmentation tools. Results: Perceived stress was negatively correlated with overall prefrontal cortex (PFC) volume, specifically in overall white matter volume of the PFC. Additionally, perceived stress was negatively correlated with gray and white matter volumes in lateral regions of the PFC, specifically, in the ventrolateral and dorsolateral PFC. Perceived stress was not significantly related to medial temporal lobe volumes. Conclusions: These findings suggest that among healthy older adults, there is a salient relationship between prefrontal cortex volumes and levels of perceived stress. This research fills a critical gap in the current literature and provides initial groundwork for future studies investigating the relationship between perceived stress and the prefrontal cortex in the context of healthy aging.     

Multivariate classification of smokers and nonsmokers using SVM‐RFE on structural MRI images

Voxel‐based morphometry (VBM) studies have revealed gray matter alterations in smokers, but this type of analysis has poor predictive value for individual cases, which limits its applicability in clinical diagnoses and treatment. A predictive model would essentially embody a complex biomarker that could be used to evaluate treatment efficacy. In this study, we applied VBM along with a multivariate classification method consisting of a support vector machine with recursive feature elimination to discriminate smokers from nonsmokers using their structural MRI data. Mean gray matter volumes in 1,024 cerebral cortical regions of interest created using a subparcellated version of the Automated Anatomical Labeling template were calculated from 60 smokers and 60 nonsmokers, and served as input features to the classification procedure. The classifier achieved the highest accuracy of 69.6% when taking the 139 highest ranked features via 10‐fold cross‐validation. Critically, these features were later validated on an independent testing set that consisted of 28 smokers and 28 nonsmokers, yielding a 64.04% accuracy level (binomial P = 0.01). Following classification, exploratory post hoc regression analyses were performed, which revealed that gray matter volumes in the putamen, hippocampus, prefrontal cortex, cingulate cortex, caudate, thalamus, pre‐/postcentral gyrus, precuneus, and the parahippocampal gyrus, were inversely related to smoking behavioral characteristics. These results not only indicate that smoking related gray matter alterations can provide predictive power for group membership, but also suggest that machine learning techniques can reveal underlying smoking‐related neurobiology. Hum Brain Mapp 36:4869–4879, 2015. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.     

The left dorsolateral prefrontal cortex and caudate pathway: New evidence for cue‐induced craving of smokers

Although the activation of the prefrontal cortex (PFC) and the striatum had been found in smoking cue induced craving task, whether and how the functional interactions and white matter integrity between these brain regions contribute to craving processing during smoking cue exposure remains unknown. Twenty‐five young male smokers and 26 age‐ and gender‐matched nonsmokers participated in the smoking cue‐reactivity task. Craving related brain activation was extracted and psychophysiological interactions (PPI) analysis was used to specify the PFC‐efferent pathways contributed to smoking cue‐induced craving. Diffusion tensor imaging (DTI) and probabilistic tractography was used to explore whether the fiber connectivity strength facilitated functional coupling of the circuit with the smoking cue‐induced craving. The PPI analysis revealed the negative functional coupling of the left dorsolateral prefrontal cortex (DLPFC) and the caudate during smoking cue induced craving task, which positively correlated with the craving score. Neither significant activation nor functional connectivity in smoking cue exposure task was detected in nonsmokers. DTI analyses revealed that fiber tract integrity negatively correlated with functional coupling in the DLPFC‐caudate pathway and activation of the caudate induced by smoking cue in smokers. Moreover, the relationship between the fiber connectivity integrity of the left DLPFC‐caudate and smoking cue induced caudate activation can be fully mediated by functional coupling strength of this circuit in smokers. The present study highlighted the left DLPFC‐caudate pathway in smoking cue‐induced craving in smokers, which may reflect top‐down prefrontal modulation of striatal reward processing in smoking cue induced craving processing. Hum Brain Mapp 38:4644–4656, 2017. © 2017 Wiley Periodicals, Inc.     

Gray matter volume differences and the effects of smoking on gray matter in schizophrenia

OBJECTIVE: Many studies have evaluated differences in gray matter volume in schizophrenia, but have not considered the possible effects of smoking, which is extraordinarily common in people with the illness. The present study used voxel-based morphometry (VBM) to examine differences in gray matter in subjects with schizophrenia and evaluate the effects of smoking on this measure. METHODS: Thirty-two subjects with schizophrenia (14 smokers, 18 non-smokers) and 32 healthy comparison subjects participated in the study. Whole brain, voxel-wise analyses of regional gray matter volume were conducted using voxel-based morphometry (VBM). RESULTS: Reduced gray matter was observed in the schizophrenia group in the orbitofrontal cortex, bilateral insula and superior temporal gyri (STG), bilateral dorsolateral prefrontal cortices (DLPFC), medial frontal gyrus, and cingulate gyrus. Within this group, smoking subjects had greater lateral prefrontal and STG gray matter volumes relative to non-smoking subjects. CONCLUSIONS: The finding of reduced gray matter volume in prefrontal and temporal regions in schizophrenia is consistent with prior anatomical tracing and whole-brain voxel-based studies. Greater gray matter volumes in smoking relative to non-smoking subjects with schizophrenia highlight a potential experimental confound in volumetric studies and suggests that smoking may be associated with a relative preservation of lateral prefrontal and temporal gray matter in schizophrenia.     

Anterior cingulate subregion volumes and executive function in bipolar disorder

OBJECTIVE: Although research findings suggest a relationship between the function of anterior cingulate cortex (ACC) and both cognitive ability and the pathophysiology of bipolar disorder (BPD), few studies have examined cognitive correlates of specific ACC subregion volumes in BPD. Therefore, the primary aim of this study was to examine the relationship between magnetic resonance imaging (MRI)-derived gray and white matter volumes of ACC subregions (caudal, rostral, and subgenual) and performance on tests of executive function in 27 patients with BPD and 22 healthy subjects. METHODS: 1.5T MRI and neuropsychological assessment were conducted with all participants. RESULTS: MANCOVA revealed statistically significant group differences in performance on executive function measures. However, no group differences were observed in any of the ACC white matter or gray matter regions of interest. Multiple regression analyses revealed that rostral and subgenual gray matter each interacted significantly with group in predicting performance on the Wisconsin Card Sorting Test. In addition, a significant interaction was observed between group and both rostral gray and white matter in predicting performance on the Trail Making Test. CONCLUSIONS: The results of this preliminary study support the extant literature that suggests that patients with BPD perform more poorly than healthy subjects on tests of executive function. Furthermore, the relationship between ACC subregion volumes and cognitive test performance was found to differ between patients with BPD and healthy subjects, despite comparable ACC volumes in the two groups.     

Chronic smoking and brain gray matter changes: evidence from meta-analysis of voxel-based morphometry studies

Structural neuroimaging studies on chronic smokers using voxel-based morphometry (VBM) had provided cumulative evidence of gray matter (GM) changes relative to nonsmokers. However, not all the studies reported entirely consistent findings. Here, we aimed at identifying consistent GM anomalies in chronic smokers by performing a meta-analysis, and a systematic search of VBM studies on chronic smokers and nonsmokers published in PubMed and Embase database from 2000 to April 2012. Meta-analysis was performed using a newly improved voxel-based meta-analytic tool, namely effect size signed differential mapping, to quantitatively explore the GM abnormalities between chronic smokers and nonsmokers. A total of 7 eligible VBM studies involving 213 chronic smokers and 205 nonsmokers met the inclusion criteria. A considerable regional GM volume decrease was detected in the anterior cingulate cortex (ACC) (BA 24) extending to BA32 in chronic smokers. The findings remain largely unchanged in the entire brain jackknife sensitivity analyses. The results of the present meta-analysis provide evidence of GM changes in ACC in chronic smokers which may be an important potential therapeutic neuro-target for nicotine dependence.     

Antidepressant effects of tDCS are associated with prefrontal gray matter volumes at baseline: Evidence from the ELECT-TDCS trial

BackgroundTranscranial direct current stimulation (tDCS) is a promising intervention for major depression. However, its clinical effects are heterogeneous. We investigated, in a subsample of the randomized, clinical trial Escitalopram versus Electrical Direct Current Therapy for Depression Study (ELECT-TDCS), whether the volumes of left and right prefrontal cortex (PFC) and anterior cingulate cortex (ACC) were associated with prefrontal tDCS response.MethodsBaseline structural T1 weighted MRI data were analyzed from 52 patients (15 males). Patients were randomized to the following conditions: escitalopram 20 mg/day, bifrontal tDCS (2 mA, 30min, 22 sessions), or placebo. Antidepressant outcomes were assessed over a treatment period of 10 weeks. Voxel-based gray matter volumes of PFC and ACC were determined using state-of-the-art parcellation approaches.ResultsAccording to our a priori hypothesis, in the left dorsal PFC, larger gray matter volumes were associated with depression improvement in the tDCS group (n = 15) compared to sham (n = 21) (Cohen's d = 0.3, 95% confidence interval [0.01; 0.6], p = 0.04). Neither right PFC nor ACC volumes were associated with depression improvement. Exploratory analyses of distinct PFC subregions were performed, but no area was associated with tDCS response after correction for multiple comparisons.ConclusionLeft PFC baseline gray matter volume was associated with tDCS antidepressant effects. This brain region and its subdivisions should be investigated further as a potential neurobiological predictor for prefrontal tDCS treatment in depression and might be correlated with tDCS antidepressant mechanisms of action.     

Anterior cingulate cortex gray matter abnormalities in adults with attention deficit hyperactivity disorder: A voxel-based morphometry study

Attention deficit hyperactivity disorder (ADHD) is a psychiatric disease that affects children and persists in 50% of cases into adulthood. Magnetic Resonance Imaging (MRI) studies in children suggest that ADHD is associated with structural abnormalities in the brain. However, very little research has been carried out on adult ADHD. Using high-resolution MRI, we tested the hypothesis that adult ADHD patients exhibit gray and/or white matter volume (GMV, WMV) abnormalities in the prefrontal cortex (PFC), cingulate cortex (CC), hippocampus and amygdala, also evaluating putative associations between volumetric data and symptoms of ADHD. We investigated 20 adult patients with ADHD and 20 age-matched healthy controls. We found significantly smaller GMV in the right and left anterior cingulate cortex (ACC) but no GMV/WMV difference in the PFC, hippocampus and amygdala. No correlation was found between ADHD behavioral measures and MRI data. Our results might suggest that adults with ADHD exhibit smaller GMV in the ACC, as measured by VBM. Volumetric abnormalities in the brain of adult ADHD patients might be less pronounced than those found in children and adolescents, although the role played by chronic stimulant treatment needs further investigation.     

Regional prefrontal gray and white matter abnormalities in bipolar disorder.

BACKGROUND: Previous magnetic resonance imaging (MRI) studies indicate that compared with healthy volunteers, patients with bipolar disorder have structural and functional abnormalities in the prefrontal cortex. The aim of this study was to investigate differences in prefrontal subregions between bipolar patients and healthy subjects. METHODS: Bipolar patients hospitalized for a manic episode (n = 17), and demographically matched healthy volunteers (n = 12) were recruited. Contiguous 1-mm coronal T1-weighted MRI slices were obtained using a Picker 1.5 Tesla scanner. The gray and white matter volumes of five prefrontal subregions of interest were measured: superior, middle, inferior, cingulate, and orbital. RESULTS: Bipolar patients had smaller left prefrontal gray matter volumes, specifically in the middle and superior subregions and smaller right prefrontal gray matter volumes, specifically in the inferior and middle subregions. White matter differences were not observed in any of the prefrontal subregions. CONCLUSIONS: The results suggest that bipolar patients have subregion-specific gray matter volume reductions in the prefrontal cortex as compared to healthy subjects. Further investigations into the role of specific prefrontal subregions in bipolar disorder are warranted.     

Reduced gray matter volume of dorsal cingulate cortex in patients with obsessive-compulsive disorder: a voxel-based morphometric study

Aims: Previous morphometric studies using magnetic resonance imaging (MRI) have revealed structural brain abnormalities in obsessive–compulsive disorder (OCD). The aim of the present study was to investigate the alterations in brain structure of patients with OCD using a voxel‐based morphometry (VBM) method. Methods: Sixteen patients with OCD free of comorbid major depression, and 32 sex‐ and age‐matched healthy subjects underwent MRI using a 1.5‐T MR scanner. OCD severity was assessed with the Yale–Brown Obsessive–Compulsive Scale (mean ± SD: 22 ± 7.6; range: 7–32). MR images were spatially normalized and segmented using the VBM5 package ( http://dbm.neuro.uni‐jena.de/vbm/ ). Statistical analysis was performed using statistical parametric mapping software. Results: Significant reductions in regional gray matter volume were detected in the left caudal anterior cingulate cortex and right dorsal posterior cingulate cortex in the patients with OCD as compared to healthy controls (uncorrected, P < 0.001). No significant differences in white matter volumes were observed in any brain regions of the patients. No significant correlation between Yale–Brown Obsessive–Compulsive Scale score and regional gray matter or white matter volume was observed. Conclusions: Regional gray matter alteration in the dorsal cingulate cortex, which is suggested to play a role in non‐emotional cognitive processes, may be related to the pathophysiology in OCD.     

Smoking and structural brain deficits: a volumetric MR investigation

Growing evidence from animal studies indicates brain-damaging properties of nicotine exposure. Investigations in humans found a wide range of functional cerebral effects of nicotine and cigarette smoking, but studies focusing on brain damage are sparse. In 22 smokers and 23 never-smokers possible differences of the cerebral structures were investigated using magnetic resonance imaging and voxel-based morphometry. Significantly smaller grey matter volume and lower grey matter density (P = 0.05, corrected) were observed in the frontal regions (anterior cingulate, prefrontal and orbitofrontal cortex), the occipital lobe and the temporal lobe including parahippocampal gyrus, in smokers than in never-smokers. Group differences of either grey matter volume or grey matter density were also found in the thalamus, cerebellum and substantia nigra, among other regions. Smokers did not show greater volumes than never-smokers in any cerebral region. Magnitude of lifetime exposure to tobacco smoke (pack-years) was inversely correlated with volume of frontal and temporal lobes and cerebellum (P = 0.001, uncorrected). The data indicate structural deficits of several cortical and subcortical regions in smokers relative to never-smokers. The topographic profile of the group differences show some similarities to brain networks known to mediate drug reinforcement, attention and working memory processing. The present findings may explain in part the frequently reported cognitive dysfunctions in chronic cigarette consumers.     

Comprehensive examination of frontal regions in boys and girls with attention-deficit/hyperactivity disorder

The current study examined regional frontal lobe volumes based on functionally relevant subdivisions in contemporaneously recruited samples of boys and girls with and without attention-deficit/hyperactivity disorder (ADHD). Forty-four boys (21 ADHD, 23 control) and 42 girls (21 ADHD, 21 control), ages 8-13 years, participated. Sulcal-gyral landmarks were used to manually delimit functionally relevant regions within the frontal lobe: primary motor cortex, anterior cingulate, deep white matter, premotor regions [supplementary motor complex (SMC), frontal eye field, lateral premotor cortex (LPM)], and prefrontal cortex (PFC) regions [medial PFC, dorsolateral PFC (DLPFC), inferior PFC, lateral orbitofrontal cortex (OFC), and medial OFC]. Compared to sex-matched controls, boys and girls with ADHD showed reduced volumes (gray and white matter) in the left SMC. Conversely, girls (but not boys) with ADHD showed reduced gray matter volume in left LPM; while boys (but not girls) with ADHD showed reduced white matter volume in left medial PFC. Reduced left SMC gray matter volumes predicted increased go/no-go commission rate in children with ADHD. Reduced left LPM gray matter volumes predicted increased go/no-go variability, but only among girls with ADHD. Results highlight different patterns of anomalous frontal lobe development among boys and girls with ADHD beyond that detected by measuring whole lobar volumes.     

A voxel-based morphometry study of frontal gray matter correlates of impulsivity

Impulsivity is a personality trait exhibited by healthy individuals, but excessive impulsivity is associated with some mental disorders. Lesion and functional neuroimaging studies indicate that the ventromedial prefrontal region (VMPFC), including the orbitofrontal cortex (OFC), anterior cingulate cortex (ACC) and medial prefrontal cortex, and the amygdala may modulate impulsivity and aggression. However, no morphometric study has examined the association between VMPFC and impulsivity. We hypothesized that healthy subjects with high impulsivity would have smaller volumes in these brain regions compared with those with low impulsivity. Sixty-two healthy subjects were studied (age 35.4 +/- 12.1 years) using a 1.5-T MRI system. The Barratt impulsiveness scale (BIS) was used to assess impulsivity. Images were processed using an optimized voxel-based morphometry (VBM) protocol. We calculated the correlations between BIS scale scores and the gray matter (GM) and white matter (WM) volumes of VMPFC and amygdala. GM volumes of the left and right OFC were inversely correlated with the BIS total score (P = 0.04 and 0.02, respectively). Left ACC GM volumes had a tendency to be inversely correlated with the BIS total score (P = 0.05). Right OFC GM volumes were inversely correlated with BIS nonplanning impulsivity, and left OFC GM volumes were inversely correlated with motor impulsivity. There were no significant WM volume correlations with impulsivity. The results of this morphometry study indicate that small OFC volume relate to high impulsivity and extend the prior finding that the VMPFC is involved in the circuit modulating impulsivity.     

Disorder-specific volumetric brain difference in adolescent major depressive disorder and bipolar depression

Structural abnormalities in frontal, limbic and subcortical regions have been noted in adults with both major depressive disorder (MDD) and bipolar disorder (BD). In the current study, we examined regional brain morphology in youth with MDD and BD as compared to controls. Regional brain volumes were measured in 32 MDD subjects (15.7?±?2.1 years), 14 BD subjects (16.0?±?2.4 years) and 22 healthy controls (16.0?±?2.8 years) using magnetic resonance imaging (MRI). Regions of interest included the hippocampus, dorsolateral prefrontal cortex (DLPFC), anterior cingulate cortex (ACC), caudate, putamen and thalamus. Volumetric differences between groups were significant (F_26,80?=?1.80, p?=?0.02). Post-hoc analyses indicated that individuals with MDD showed reduced left hippocampus volumes (p?=?0.048) as well as right ACC white and gray matter volumes (p?=?0.003; p?=?0.01) compared to controls. BD participants also displayed reduced left hippocampal and right/left putamen volumes compared to controls (p?<?0.001; p?=?0.015; p?=?0.046 respectively). Interestingly, right and left ACC white matter volumes were smaller in MDD than in BD participants (p?=?0.019; p?=?0.045 respectively). No volumetric group differences were observed for the DLPFC and thalamus. Discriminant analysis was able to correctly classify 81.0 % of subjects as having BD or as MDD based on imaging data. Confirmation and extension of our findings requires larger sample sizes. Our findings provide new evidence of distinct, specific regional brain volumetric differences between MDD and BD that may be used to distinguish the two disorders.     

The five factors of personality and regional cortical variability in the baltimore longitudinal study of aging

Although personality changes have been associated with brain lesions and atrophy caused by neurodegenerative diseases and aging, neuroanatomical correlates of personality in healthy individuals and their stability over time have received relatively little investigation. In this study, we explored regional gray matter (GM) volumetric associations of the five‐factor model of personality. Eighty‐seven healthy older adults took the NEO Personality Inventory and had brain MRI at two time points 2 years apart. We performed GM segmentation followed by regional analysis of volumes examined in normalized space map creation and voxel based morphometry‐type statistical inference in SPM8. We created a regression model including all five factors and important covariates. Next, a conjunction analysis identified associations between personality scores and GM volumes that were replicable across time, also using cluster‐level Family‐Wise‐Error correction. Larger right orbitofrontal and dorsolateral prefrontal cortices and rolandic operculum were associated with lower Neuroticism; larger left temporal, dorsolateral prefrontal, and anterior cingulate cortices with higher Extraversion; larger right frontopolar and smaller orbitofrontal and insular cortices with higher Openness; larger right orbitofrontal cortex with higher Agreeableness; larger dorsolateral prefrontal and smaller frontopolar cortices with higher Conscientiousness. In summary, distinct personality traits were associated with stable individual differences in GM volumes. As expected for higher‐order traits, regions performing a large number of cognitive and affective functions were implicated. Our findings highlight personality‐related variation that may be related to individual differences in brain structure that merit additional attention in neuroimaging research. Hum Brain Mapp 34:2829–2840, 2013. © 2012 Wiley Periodicals, Inc.     

Structural variations in prefrontal cortex mediate the relationship between early childhood stress and spatial working memory

A large corpus of research indicates that exposure to stress impairs cognitive abilities, specifically executive functioning dependent on the prefrontal cortex (PFC). We collected structural MRI scans (n = 61), well-validated assessments of executive functioning, and detailed interviews assessing stress exposure in humans to examine whether cumulative life stress affected brain morphometry and one type of executive functioning, spatial working memory, during adolescence-a critical time of brain development and reorganization. Analysis of variations in brain structure revealed that cumulative life stress and spatial working memory were related to smaller volumes in the PFC, specifically prefrontal gray and white matter between the anterior cingulate and the frontal poles. Mediation analyses revealed that individual differences in prefrontal volumes accounted for the association between cumulative life stress and spatial working memory. These results suggest that structural changes in the PFC may serve as a mediating mechanism through which greater cumulative life stress engenders decrements in cognitive functioning.     

Altered spontaneous activity of posterior cingulate cortex and superior temporal gyrus are associated with a smoking cessation treatment outcome using varenicline revealed by regional homogeneity

Compared to nonsmokers, smokers exhibit a number of potentially important differences in regional brain function. However, little is known about the associations between the local spontaneous brain activity and smoking cessation treatment outcomes. In the present analysis, we aimed to evaluate whether the local features of spontaneous brain activity prior to the target quit date was associated with the smoking cessation outcomes. All the participants underwent magnetic resonance imaging scans and smoking-related behavioral assessments. After a 12-week treatment with varenicline, 23 smokers succeeded in quitting smoking and 32 failed. Smokers underwent functional magnetic resonance imaging (fMRI) scanning prior to an open label smoking cessation treatment trial. Regional homogeneity (ReHo) was used to measure spontaneous brain activity, and whole-brain voxel-wise comparisons of ReHo were performed to detect brain regions with altered spontaneous brain activity between relapser and quitter groups. After controlling for potentially confounding factors including years of education, years smoked, cigarettes smoked per day and FTND score as covariates, compared to quitters, relapsers displayed significantly decreased ReHo in bilateral posterior cingulate cortex (PCC), as well as increased ReHo in left superior temporal gyrus (STG). These preliminary results suggest that regional brain function variables may be promising predictors of smoking relapse. This study provided novel insights into the neurobiological mechanisms underlying smoking relapse. A deeper understanding of the neurobiological mechanisms associated with relapse may result in novel pharmacological and behavioral interventions.     

Impact of sex and reproductive status on memory circuitry structure and function in early midlife using structural covariance analysis

Research on age‐related memory alterations traditionally targets individuals aged ≥65 years. However, recent studies emphasize the importance of early aging processes. We therefore aimed to characterize variation in brain gray matter structure in early midlife as a function of sex and menopausal status. Subjects included 94 women (33 premenopausal, 29 perimenopausal, and 32 postmenopausal) and 99 demographically comparable men from the New England Family Study. Subjects were scanned with a high‐resolution T1 sequence on a 3 T whole body scanner. Sex and reproductive‐dependent structural differences were evaluated using Box's M test and analysis of covariances (ANCOVAs) for gray matter volumes. Brain regions of interest included dorsolateral prefrontal cortex (DLPFC), inferior parietal lobule (iPAR), anterior cingulate cortex (ACC), hippocampus (HIPP), and parahippocampus. While we observed expected significant sex differences in volume of hippocampus with women of all groups having higher volumes than men relative to cerebrum size, we also found significant differences in the covariance matrices of perimenopausal women compared with postmenopausal women. Associations between ACC and HIPP/iPAR/DLPFC were higher in postmenopausal women and correlated with better memory performance. Findings in this study underscore the importance of sex and reproductive status in early midlife for understanding memory function with aging.     

Smoking is associated with reduced cortical regional gray matter density in brain regions associated with incipient Alzheimer disease.

OBJECTIVES: The results of observational studies suggest that smoking increases the risk of Alzheimer disease (AD). The authors designed this study to determine if older people who smoke have decreased gray matter density in brain regions associated with incipient AD. METHODS: The authors recruited 39 pairs (N = 78) of smokers/never-smokers 70 to 83 years of age who were matched for age, sex, education, and handedness. Participants were free of clinically significant cognitive impairment, depression, stroke, or other serious medical conditions. Gray matter density was determined by voxel-based morphometry using statistical parametric mapping of T1-weighted magnetic resonance images. RESULTS: Smokers had decreased gray matter density in the posterior cingulum and precuneus (bilateral), right thalamus, and frontal cortex (bilateral) compared with never-smokers. CONCLUSIONS: Smoking is associated with decreased gray matter density in brain regions previously associated with incipient AD. Longitudinal investigations are required to clarify whether these changes are progressive in nature.