scholarly journals Structural neuroimaging signatures of anorexia nervosa features in a mixed sample enriched for disease vulnerability

2018 ◽  
Author(s):  
Amy E. Miles ◽  
Allan S. Kaplan ◽  
Yuliya S. Nikolova ◽  
Aristotle N. Voineskos
Keyword(s):  
Risk Factors ◽  
Anorexia Nervosa ◽  
White Matter ◽  
Trait Anxiety ◽  
Cortical Thickness ◽  
Behavioral Risk ◽  
Intracranial Volume ◽  
Set Shifting ◽  
Cortical Morphology ◽  
Brain Behavior

ABSTRACTBrain-behavior relationships that could provide insight into risk-associated pathophysiology have not been thoroughly assessed in anorexia nervosa (AN). Therefore, we sought to identify grey and white matter signatures of AN symptoms and risk factors (trait anxiety, set-shifting impairment) in a sample enriched for AN vulnerability, including acute and remitted AN patients and their unaffected sisters (n = 72, aged 18 – 48 years). MRI/DTI data were acquired on a 3T scanner and processed with Freesurfer and FSL TBSS. Relationships between clinical variables of interest and regional subcortical volume, vertex-wise cortical surface architecture (thickness, surface area, local gyrification), and voxel-wise white matter microstructure (FA, MD) were tested with separate linear regressions, including age, BMI, lifetime AN diagnosis, and intracranial volume as covariates, where appropriate. Significance was determined using a Bonferroni-corrected threshold, p(t) ≤ 0.001. We detected distinct associations linking AN symptoms to lateral occipital cortical thickness and insular/cingulate gyrification and trait anxiety to lingual cortical thickness and superior parietal gyrification, and we detected overlapping associations linking AN symptoms and set-shifting impairment to frontoparietal gyrification. No other brain-behavior relationships emerged. Our findings suggest that variations in site-specific cortical morphology could give rise to core features of AN and shared temperamental and cognitive-behavioral risk factors for AN.

scholarly journals White matter tracts characteristics in habitual decision-making circuit underlie ritual behaviors in anorexia nervosa

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Reza Tadayonnejad ◽  
Fabrizio Pizzagalli ◽  
Stuart B. Murray ◽  
Wolfgang M. Pauli ◽  
Geena Conde ◽  
...  
Keyword(s):  
Decision Making ◽  
Anorexia Nervosa ◽  
White Matter ◽  
Symptom Severity ◽  
Structural Characteristics ◽  
Data Sets ◽  
White Matter Tracts ◽  
Compulsive Behaviors ◽  
Positive Correlations ◽  
Brain Behavior

AbstractAnorexia nervosa (AN) is a difficult to treat, pernicious psychiatric disorder that has been linked to decision-making abnormalities. We examined the structural characteristics of habitual and goal-directed decision-making circuits and their connecting white matter tracts in 32 AN and 43 healthy controls across two independent data sets of adults and adolescents as an explanatory sub-study. Total bilateral premotor/supplementary motor area-putamen tracts in the habit circuit had a significantly higher volume in adults with AN, relative to controls. Positive correlations were found between both the number of tracts and white matter volume (WMV) in the habit circuit, and the severity of ritualistic/compulsive behaviors in adults and adolescents with AN. Moreover, we found a significant influence of the habit circuit WMV on AN ritualistic/compulsive symptom severity, depending on the preoccupations symptom severity levels. These findings suggest that AN is associated with white matter plasticity alterations in the habit circuit. The association between characteristics of habit circuit white matter tracts and AN behavioral symptoms provides support for a circuit based neurobiological model of AN, and identifies the habit circuit as a focus for further investigation to aid in development of novel and more effective treatments based on brain-behavior relationships.

Abstract 47: White Matter Atrophy in Cerebral Amyloid Angiopathy

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Panagiotis Fotiadis ◽  
Aaron Schultz ◽  
Trey Hedden ◽  
Sergi Martinez-Ramirez ◽  
Yael Reijmer ◽  
...  
Keyword(s):  
White Matter ◽  
Cerebral Amyloid Angiopathy ◽  
Cortical Thickness ◽  
Tissue Loss ◽  
White Matter Hyperintensity ◽  
Aging Brain ◽  
Amyloid Angiopathy ◽  
Intracranial Volume ◽  
White Matter Volume ◽  
Cerebral Amyloid

Background/Purpose: Cerebral Amyloid Angiopathy (CAA) leads to leukoaraiosis, lacunar infarcts and cortical tissue loss. We hypothesized that CAA is also associated with white matter atrophy (WMA). Methods: We have compared volumetric multimodal MRIs from 72 prospectively enrolled non-demented patients with probable CAA (per Boston criteria), to 3 other well-studied cohorts: 289 Healthy Controls (HC) from the Harvard Aging Brain (HAB) study, 231 HC and 198 patients with AD from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Validated FreeSurfer algorithms were used to calculate White Matter Volume (WMV), white matter hyperintensity volume (WMHv), and cortical thickness. Microbleeds (MBs) were counted on SWI-MRI. Measures were obtained from the contralateral hemisphere if intracerebral hemorrhage present. All volumes were corrected for total intracranial volume (ICV), so reported as percent of ICV. Results: The CAA patients were significantly younger (mean age: 70.1) compared to both HC cohorts (ADNI-HC: 76.0, p<0.001, HAB-HC: 73.8, p < 0.001), and to patients with AD (75.5, p < 0.001). Despite being younger, patients with CAA presented significantly lower global WMV (28% ± 2.6) than both ADNI-HC (29.2% ± 2.2, p < 0.001), HAB-HC (29.0% ± 2.5, p = 0.001), and patients with AD (28.7% ± 2.2, p = 0.02) [Figure]. The association persisted after correcting for age, gender and WMHv. Within the CAA cohort, there was a negative correlation between WMV and lobar MB counts (rho = -0.26, p = 0.03), it remained significant after correcting for age, gender, WMHv (p=0.016). There were no significant associations however between WMV and neither WMHv, nor cortical thickness (both p>0.2). Conclusions: Patients with CAA show WMA when compared to older HC and AD. WMA independently correlates with MBs, a marker of CAA severity. Consistent spatial patterns of atrophy especially in posterior regions when compared to both HC and AD [Figure] might represent the “WMA signature of CAA”.

scholarly journals Risk Factors Associated with Cortical Thickness and White Matter Hyperintensities in Dementia Free Okinawan Elderly

2018 ◽  
Vol 63 (1) ◽  
pp. 365-372 ◽  
Author(s):  
Lisa C. Silbert ◽  
David Lahna ◽  
Nutta-on Promjunyakul ◽  
Erin Boespflug ◽  
Yusuke Ohya ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
Cortical Thickness ◽  
White Matter Hyperintensities ◽  
Factors Associated

scholarly journals Brain structural differences between 73- and 92-year olds matched for childhood intelligence, social background, and intracranial volume

2017 ◽  
Author(s):  
Stuart J. Ritchie ◽  
David Alexander Dickie ◽  
Simon R. Cox ◽  
Maria del C. Valdés Hernández ◽  
Alison Pattie ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Ability ◽  
Surface Area ◽  
Cortical Thickness ◽  
White Matter Hyperintensity ◽  
Socioeconomic Background ◽  
Intracranial Volume ◽  
Cortical Surface ◽  
Age Cohorts ◽  
Cortical Surface Area

AbstractFully characterizing age differences in the brain is a key task for combatting ageing-related cognitive decline. Using propensity score matching on two independent, narrow-age cohorts, we used data on childhood cognitive ability, socioeconomic background, and intracranial volume to match participants at mean age 92 years (n = 42) to very similar participants at mean age 73 (n = 126). Examining a variety of global and regional structural neuroimaging variables, there were large differences in grey and white matter volumes, cortical surface area, cortical thickness, and white matter hyperintensity volume and spatial extent. In a mediation analysis, the total volume of white matter hyperintensities and total cortical surface area jointly mediated 24.9% of the relation between age and general cognitive ability (tissue volumes and cortical thickness were not significant mediators in this analysis). These findings provide an unusual and valuable perspective on neurostructural ageing, in which brains from the eighth and tenth decades of life differ widely despite the same cognitive, socio-economic, and brain-volumetric starting points.

scholarly journals The Impact of Common Epidemiological Factors on Gray and White Matter Volumes in Magnetic Resonance Imaging–Is Prevention of Brain Degeneration Possible?

2021 ◽  
Vol 12 ◽  
Author(s):  
Jagoda Jacków-Nowicka ◽  
Przemysław Podgórski ◽  
Joanna Bladowska ◽  
Dorota Szcześniak ◽  
Joanna Rymaszewska ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
Gray Matter ◽  
Brain Mri ◽  
Intracranial Volume ◽  
Before And After ◽  
Urban Rural ◽  
Gray Matter Loss ◽  
Age Range ◽  
The Impact

Introduction: The aim of the study was to evaluate the impact of multiple risk factors (age, diabetes, hypertension, hyperlipidemia, BMI, smoking, alcohol) on the gray and white matter volumes as well as on the burden of white matter hyperintensities (WMH).Material and Methods: The study group consisted of 554 subjects (age range: 50–69 yrs, F/M: 367/187) recruited from the larger cohort of the Polish fraction of the Prospective Urban Rural Epidemiological (PURE) study. The participants answered questionnaires about their lifestyle, underwent physical and psychological examination (MoCA test), laboratory blood tests followed by brain MRI. Volumetric measurements of the total gray matter (GMvol), total white matter (WMvol) and WHM (WMHvol) normalized to the total intracranial volume were performed using the Computational Anatomy Toolbox 12 (CAT12) and Statistical Parametric Maps 12 (SPM12) based on 3D T1-weighted sequence. The influence of risk factors was assessed using multiple regression analysis before and after correction for multiple comparisons.Results: Older age was associated with lower GMvol and WMvol, and higher WMHvol (p &lt; 0.001). Smaller GMvol volume was associated with higher WMHvol (p &lt; 0.001). Higher WMHvol was associated with hypertension (p = 0.01) and less significantly with hyperlipidemia (only before correction p = 0.03). Diabetes, abnormal BMI, smoking and alcohol intake did not have any significant impact on GMvol, WMvol or WMHvol (p &gt; 0.05). MoCA score was not influenced by any of the factors.Conclusions: Gray matter loss is strongly associated with the accumulation of WMH which seems to be potentially preventable by maintaining normal blood pressure and cholesterol levels.

scholarly journals Defining Vascular Cognitive Impairment in India—A Descriptive Study of MRI Volumetry vs. Cognition in 'Normal' Adults

2021 ◽  
Author(s):  
Uma Sundar ◽  
Amita Mukhopadhyay ◽  
Sheelakumari Raghavan ◽  
Ramshekhar Menon ◽  
Chandrasekharan Kesavadas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
White Matter ◽  
Vascular Cognitive Impairment ◽  
Vascular Risk Factors ◽  
Grey Matter Volume ◽  
Intracranial Volume ◽  
Vascular Risk ◽  
Cognitive Score ◽  
Mri Volumetry

Background: It is important to establish criteria to define Vascular Cognitive Impairment (VCI) in India as VCI is an image-based diagnosis and MRI changes resulting from age with prevalent vascular risk factors may confound MRI interpretation. Objective: To establish normative community data for MRI volumetry including white matter hyperintensity volume (WMHV), correlated with age-stratified cognitive scores and vascular risk factors in adults ≥40 years old. Materials and Methods: We screened 2651 individuals without known neurological morbidity, living in Mumbai and nearby rural areas, using validated Marathi translations of Kolkata Cognitive Battery (KCB) and Geriatric depression score (GDS). We stratified 1961 persons with GDS ≤9 by age and cognitive score, and randomly selected ten percent from each subgroup for MRI brain volumetry. Crude volumes were standardized to reflect percentage of intracranial volume. Results: MRI volumetry studies were done in 199 individuals (F/M = 90/109; 73 with BMI ≥ 25; 44 hypertensives; 29 diabetics; mean cognitive score 76.5). Both grey and white matter volumes decreased with increasing age. WMHV increased with age and hypertension. Grey matter volume decreased with increasing WMHV. Positive predictors of cognition included standardized hippocampal volume (HCV), urban living, education, and BMI, while WMHV and age were negative predictors. Urban dwellers had higher cognitive scores than rural, and (paradoxically) smaller HCV. Conclusions: Further study is warranted into sociodemographic and biological factors that mutually influence cognition. Our findings contribute to baseline diagnostic criteria for VCI and could help in early diagnosis and control of cognitive decline and its key risk factors.

Increased tortuosity of bilateral distal internal carotid artery is associated with white matter hyperintensities

2020 ◽  
pp. 028418512093238
Author(s):  
Jiyang Liu ◽  
Xiaoting Ke ◽  
Qingquan Lai
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
Carotid Artery ◽  
Internal Carotid Artery ◽  
White Matter Hyperintensities ◽  
Internal Carotid ◽  
White Matter Hyperintensity ◽  
Intracranial Volume ◽  
Brain White Matter ◽  
Distal Internal Carotid Artery

Background Although the pathophysiology of white matter hyperintensities remains unclear, we can recently explore the possible relationship with white matter hyperintensities by using quantitative parameter. Purpose To demonstrate the relationship between bilateral distal internal carotid arterial tortuosity and total brain white matter hyperintensities volume in elderly individuals. Material and Methods A total of 345 patients (age > 65 years) with brain magnetic resonance (MR) examinations were retrospectively included (44.1% men; mean age = 72.1 ± 6.25 years; 55.9% ≥ 70 years). We measured the Tortuosity Index (TI) of the bilateral distal internal carotid artery and basilar artery on MR angiography imaging, and white matter hyperintensities volume on fluid-attenuated inversion recovery MR sequence. Multiple linear regression was used to assess the association of the TI with quantitatively derived brain white matter hyperintensity volume, after adjusting for demographics (age, sex), vascular risk factors (hypertension, diabetes, heart disease), and vessel diameters, total intracranial volume (TIV). Results Increased tortuosity of bilateral distal internal carotid artery was associated with greater burden of white matter hyperintensity volume (right: β = 11.223, P = 0.016; left: β = 20.701, P < 0.001). This relationship was independent of age and hypertension, both of which have been considered the strongest risk factors for white matter hyperintensities. Conclusion Our results suggest that tortuosity of the bilateral distal internal carotid artery is associated with white matter hyperintensities, independent of age and hypertension.

scholarly journals Psychological and Behavioral Predictors of Vaccine Efficacy: Considerations for COVID-19

2021 ◽  
pp. 174569162198924
Author(s):  
Annelise A. Madison ◽  
M. Rosie Shrout ◽  
Megan E. Renna ◽  
Janice K. Kiecolt-Glaser
Keyword(s):  
Risk Factors ◽  
Side Effects ◽  
Vaccine Efficacy ◽  
Psychological Factors ◽  
Behavioral Interventions ◽  
Vulnerable Groups ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Vaccine Response ◽  
The Impact

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine candidates are being evaluated, with the goal of conferring immunity on the highest percentage of people who receive the vaccine as possible. It is noteworthy that vaccine efficacy depends not only on the vaccine but also on characteristics of the vaccinated. Over the past 30 years, a series of studies has documented the impact of psychological factors on the immune system’s vaccine response. Robust evidence has demonstrated that stress, depression, loneliness, and poor health behaviors can impair the immune system’s response to vaccines, and this effect may be greatest in vulnerable groups such as the elderly. Psychological factors are also implicated in the prevalence and severity of vaccine-related side effects. These findings have generalized across many vaccine types and therefore may be relevant to the SARS-CoV-2 vaccine. In this review, we discuss these psychological and behavioral risk factors for poor vaccine responses, their relevance to the COVID-19 pandemic, as well as targeted psychological and behavioral interventions to boost vaccine efficacy and reduce side effects. Recent data suggest these psychological and behavioral risk factors are highly prevalent during the COVID-19 pandemic, but intervention research suggests that psychological and behavioral interventions can increase vaccine efficacy.

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