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1.
Am J Geriatr Psychiatry ; 31(11): 932-942, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37394314

ABSTRACT

OBJECTIVE: Hippocampal volume (HV) is a key imaging marker to improve Alzheimer's disease risk prediction. However, longitudinal studies are rare, and hippocampus may also be implicated in the subtle aging-related cognitive decline observed in dementia-free individuals. Our aim was to determine whether HV, measured by manual or automatic segmentation, is associated with dementia risk and cognitive decline in participants with and without incident dementia. METHODS: At baseline, 510 dementia-free participants from the French longitudinal ESPRIT cohort underwent magnetic resonance imaging. HV was measured by manual and by automatic segmentation (FreeSurfer 6.0). The presence of dementia and cognitive functions were investigated at each follow-up (2, 4, 7, 10, 12, and 15 years). Cox proportional hazards models and linear mixed models were used to assess the association of HV with dementia risk and with cognitive decline, respectively. RESULTS: During the 15-years follow-up, 42 participants developed dementia. Reduced HV (regardless of the measurement method) was significantly associated with higher dementia risk and cognitive decline in the whole sample. However, only the automatically measured HV was associated with cognitive decline in dementia-free participants. CONCLUSION: These results suggest that HV can be used to predict the long-term risk of dementia but also cognitive decline in a dementia-free population. This raises the question of the relevance of HV measurement as an early marker of dementia in the general population.

2.
Psychol Med ; : 1-10, 2021 Apr 14.
Article in English | MEDLINE | ID: mdl-33849668

ABSTRACT

BACKGROUND: Cynical hostility (CH), a specific dimension of hostility that consists of a mistrust of others, has been suggested as a high-risk trait for dementia. However, the influence of CH on the incidence of Alzheimer's disease (AD) remains poorly understood. This study investigated whether late-life CH is associated with AD risk and structural neuroimaging markers of AD. METHODS: In community-dwelling older adults from the French ESPRIT cohort (n = 1388), incident dementia rate according to CH level was monitored during an 8-year follow-up and analyzed using Cox proportional hazards regression models. Brain magnetic resonance imaging volumes were measured at baseline (n = 508). Using automated segmentation procedures (Freesurfer 6.0), the authors assessed brain grey and white volumes on all magnetic resonance imaging scans. They also measured white matter hyperintensities volumes using semi-automated procedures. Mean volumes according to the level of CH were compared using ANOVA. RESULTS: Eighty-four participants developed dementia (32 with AD). After controlling for potential confounders, high CH was predictive of AD (HR 2.74; 95% CI 1.10-6.85; p = 0.030) and all dementia types are taken together (HR 2.30; 95% CI 1.10-4.80; p = 0.027). High CH was associated with white matter alterations, particularly smaller anterior corpus callosum volume (p < 0.01) after False Discovery Rate correction, but not with grey matter volumes. CONCLUSIONS: High CH in late life is associated with cerebral white matter alterations, designated as early markers of dementia, and higher AD risk. Identifying lifestyle and biological determinants related to CH could provide clues on AD physiopathology and avenues for prevention strategies.

3.
J Psychiatry Neurosci ; 44(1): 45-53, 2019 01 01.
Article in English | MEDLINE | ID: mdl-30565905

ABSTRACT

Background: There is evidence of structural brain alterations in major depressive disorder (MDD), but little is known about how these alterations might be affected by age at onset or genetic vulnerability. This study examines whether lifetime episodes of MDD are associated with specific alterations in grey-matter volume, and whether those alterations vary according to sex or serotonin transporter-linked promoter region (5-HTTLPR) genotype (LL, SL or SS). Methods: We used structural MRI to acquire anatomic scans from 610 community-dwelling participants. We derived quantitative regional estimates of grey-matter volume in 16 subregions using FreeSurfer software. We diagnosed MDD according to DSM-IV criteria. We adjusted analyses for age, sex, total brain volume, education level, head injury and comorbidities. Results: Lifetime MDD was associated with a smaller insula, thalamus, ventral diencephalon, pallidum and nucleus accumbens and with a larger pericalcarine region in both men and women. These associations remained after adjustment for false discovery rate. Lifetime MDD was also associated with a smaller caudate nucleus and amygdala in men and with a larger rostral anterior cingulate cortex in women. Late-onset first episodes of MDD (after age 50 years) were associated with a larger rostral anterior cingulate cortex and lingual and pericalcarine regions; early-onset MDD was associated with a smaller ventral diencephalon and nucleus accumbens. Some associations differed according to 5-HTTLPR genotype: the thalamus was smaller in participants with MDD and the LL genotype; pericalcarine and lingual volumes were higher in those with the SL genotype. Limitations: This study was limited by its cross-sectional design. Conclusion: Major depressive disorder was associated with persistent volume reductions in the deep nuclei and insula and with enlargements in visual cortex subregions; alterations varied according to age of onset and genotype.


Subject(s)
Depressive Disorder, Major/genetics , Depressive Disorder, Major/pathology , Gray Matter/pathology , Age of Onset , Aged , Atrophy/pathology , Cross-Sectional Studies , Female , Genotype , Humans , Hypertrophy/pathology , Magnetic Resonance Imaging , Male , Neuroimaging , Serotonin Plasma Membrane Transport Proteins/genetics , Sex Factors
4.
Am J Geriatr Psychiatry ; 22(11): 1336-45, 2014 Nov.
Article in English | MEDLINE | ID: mdl-24021219

ABSTRACT

OBJECTIVES: Conflicting results have been reported regarding the association between white matter lesions (WML) and cognitive impairment. We hypothesized that education, a marker of cognitive reserve (CR), could modulate the effects of WML on the risk of mild cognitive impairment (MCI) or dementia. METHODS: We followed 500 healthy subjects from a cohort of community-dwelling persons aged 65 years and over (ESPRIT Project). At baseline, WML volume was measured using a semi-automatic method on T2-weighted MRI. Standardized cognitive and neurological evaluations were repeated after 2, 4, and 7 years. The sample was dichotomized according to education level into low (≤8 years) and high (>8 years) education groups. Cox proportional hazard models were constructed to study the association between WML and risk of MCI/dementia. RESULTS: The interaction between education level and WML volume reached significance (p = 0.017). After adjustment for potential confounders, the association between severe WML and increased MCI/dementia risk was significant in the low education group (≤8 years) (p = 0.02, hazard ratio [HR]: 3.77 [1.29-10.99]), but not in the high education group (>8 years) (p = 0.82, HR: 1.07 [0.61-1.87]). CONCLUSIONS: Severe WML significantly increases the risk of developing MCI/dementia over a 7-year period in low educated participants. Subjects with higher education levels were seen to be more likely to be resilient to the deleterious effects of severe WML. The CR hypothesis suggests several avenues for dementia prevention.


Subject(s)
Cognitive Dysfunction/etiology , Dementia/etiology , White Matter/pathology , Aged , Brain/pathology , Cognitive Dysfunction/pathology , Dementia/pathology , Educational Status , Female , Hippocampus/pathology , Humans , Magnetic Resonance Imaging , Male , Neuroimaging , Organ Size , Risk Factors
6.
Environ Health Perspect ; 131(10): 107013, 2023 10.
Article in English | MEDLINE | ID: mdl-37878794

ABSTRACT

BACKGROUND: Growing epidemiological evidence suggests an adverse relationship between exposure to air pollutants and cognitive health, and this could be related to the effect of air pollution on vascular health. OBJECTIVE: We aim to evaluate the association between air pollution exposure and a magnetic resonance imaging (MRI) marker of cerebral vascular burden, white matter hyperintensities (WMH). METHODS: This cross-sectional analysis used data from the French Three-City Montpellier study. Randomly selected participants 65-80 years of age underwent an MRI examination to estimate their total and regional cerebral WMH volumes. Exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2), and black carbon (BC) at the participants' residential address during the 5 years before the MRI examination was estimated with land use regression models. Multinomial and binomial logistic regression assessed the associations between exposure to each of the three pollutants and categories of total and lobar WMH volumes. RESULTS: Participants' (n=582) median age at MRI was 70.7 years [interquartile range (IQR): 6.1], and 52% (n=300) were women. Median exposure to air pollution over the 5 years before MRI acquisition was 24.3 (IQR: 1.7) µg/m3 for PM2.5, 48.9 (14.6) µg/m3 for NO2, and 2.66 (0.60) 10-5/m for BC. We found no significant association between exposure to the three air pollutants and total WMH volume. We found that PM2.5 exposure was significantly associated with higher risk of temporal lobe WMH burden [odds ratio (OR) for an IQR increase=1.82 (95% confidence interval: 1.41, 2.36) for the second volume tercile, 2.04 (1.59, 2.61) for the third volume tercile, reference: first volume tercile]. Associations for other regional WMH volumes were inconsistent. CONCLUSION: In this population-based study in older adults, PM2.5 exposure was associated with increased risk of high WMH volume in the temporal lobe, strengthening the evidence on PM2.5 adverse effect on the brain. Further studies looking at different markers of cerebrovascular damage are still needed to document the potential vascular effects of air pollution. https://doi.org/10.1289/EHP12231.


Subject(s)
Air Pollutants , Air Pollution , White Matter , Humans , Female , Aged , Male , Cross-Sectional Studies , White Matter/diagnostic imaging , White Matter/chemistry , Environmental Exposure/analysis , Air Pollution/analysis , Air Pollutants/analysis , Particulate Matter/analysis , Nitrogen Dioxide
7.
J Alzheimers Dis ; 89(4): 1293-1302, 2022.
Article in English | MEDLINE | ID: mdl-36031896

ABSTRACT

BACKGROUND: Glucometabolic changes, such as high glycemic load (GL) diet and insulin resistance (IR), are potential risk factor of Alzheimer's disease (AD). Yet, the effect of these factors on brain alterations that contribute to AD pathology has not been clearly demonstrated. OBJECTIVE: We aimed to assess the relationship of GL and IR with gray matter volumes involved in prodromal dementia. METHODS: GL and Triglyceride-Glucose (TyG) index, an IR surrogate marker, were calculated in 497 participants who underwent magnetic resonance imaging (MRI). The gray matter volumes most related to prodromal dementia/mild cognitive impairment (diagnosed in 18/158 participants during the 7-year follow-up) were identified using a data-driven machine learning algorithm. RESULTS: Higher GL diet was associated with reduced amygdala volume. The TyG index was negatively associated with the hippocampus, amygdala, and putamen volumes. CONCLUSION: These results suggest that GL and IR are associated with lower gray matter volumes in brain regions involved in AD pathology.


Subject(s)
Alzheimer Disease , Gray Matter , Alzheimer Disease/pathology , Glucose , Gray Matter/diagnostic imaging , Gray Matter/pathology , Humans , Organ Size , Triglycerides
8.
Psychoneuroendocrinology ; 129: 105272, 2021 07.
Article in English | MEDLINE | ID: mdl-34023732

ABSTRACT

BACKGROUND: Adverse childhood events may have differential effects on the brain that persist into adulthood. Findings on structural brain alterations in older adults exposed to early-life adversity are inconsistent notably due to heterogeneity in imaging studies, population, psychiatric comorbidities, nature of adverse events, and genetic vulnerability. This study examines whether exposure related to physical or sexual maltreatment, emotional maltreatment, and global adverse environment during childhood are associated with specific alterations in grey matter volumes and if this varies according to sex and serotonin transporter-linked promoter region (5-HTTLPR) genotype. METHOD: Structural MRI was used to acquire anatomical scans from 398 community-dwelling older adults. Quantitative regional estimates of 23 subregional volumes were derived using FreeSurfer software. Retrospective reporting of childhood adversity was collected using structured self-reported questionnaire. Analyses adjusted for age, sex, brain volume, head injury, lifetime depression and anxiety disorder, psychiatric medication, and cardiovascular ischemic pathologies. RESULTS: Exposure to adverse family environment was associated with smaller volumes of several frontal, cingulate, and parietal subregions and larger amygdala in the 5-HTTLPR SS genotype participants specifically but larger volumes of caudate, putamen, pallidum, and nucleus accumbens in the SL genotype participants. Highly significant differences were found with excessive sharing of parent problems with children, associated with larger grey-matter volumes in the thalamus and several frontal and parietal regions in 5-HTTLPR SL male participants specifically. CONCLUSIONS: Early-life adversity is associated with grey-matter volume alterations in older adults and this varies according to the type of adversity experienced, sex, and serotonergic genetic vulnerability; 5-HTTLPR SS participants appearing most vulnerable and SL individuals most resilient.


Subject(s)
Adverse Childhood Experiences , Brain , Adverse Childhood Experiences/statistics & numerical data , Aged , Brain/diagnostic imaging , Brain/pathology , Female , Humans , Magnetic Resonance Imaging , Male , Retrospective Studies , Serotonin Plasma Membrane Transport Proteins/genetics
9.
Eur J Psychotraumatol ; 11(1): 1733247, 2020.
Article in English | MEDLINE | ID: mdl-32194924

ABSTRACT

Background: Findings on structural brain alterations following trauma are inconsistent due probably to heterogeneity in imaging studies and population, clinical presentations, genetic vulnerability, and selection of controls. This study examines whether trauma and re-experiencing symptoms are associated with specific alterations in grey matter volumes and if this varies according to 5-HTTLPR genotype. Methods: Structural MRI was used to acquire anatomical scans from 377 community-dwelling older adults. Quantitative regional estimates of 22 subregional volumes were derived using FreeSurfer software. Lifetime trauma was assessed using the validated Watson's PTSD inventory, which evaluates the most severe trauma experienced according to DSM criteria. Analyses adjusted for age, sex, total brain volume, head injury, and comorbidities. Results: Of the 212 participants reporting lifetime trauma, 35.4% reported re-experiencing symptoms and for 1.9%, this was severe enough to meet criteria for full threshold PTSD. In participants with the SS 5-HTTLPR genotype only, re-experiencing symptoms were associated with smaller volumes in middle and superior temporal, frontal (lateral orbital, rostral and caudal middle) and parietal (precuneus, inferior and superior) regions. The trauma-exposed participants without re-experiencing symptoms were not significantly different from the non-trauma-exposed participants except for smaller precuneus and superior parietal region in traumatized participants and a larger amygdala in traumatized women specifically. Conclusions: In the non-clinical sample, lifetime trauma and re-experiencing symptoms were associated with smaller volume in prefrontal, temporal and parietal cortex subregions, and this varied according to serotonergic genetic vulnerability, 5-HTTLPR SS individuals being most susceptible.


Antecedentes: Los hallazgos sobre las alteraciones estructurales cerebrales luego del trauma son inconsistentes debido probablemente a heterogeneidad en los estudios de imagen y población, presentaciones clínicas, vulnerabilidad genética y selección de los controles. Este estudio examina si el trauma y los síntomas de reexperimentación están asociados con alteraciones específicas en los volúmenes de materia gris y si esto varía de acuerdo al genotipo 5-HTTLPR.Métodos: Se utilizó IMR estructural para adquirir mapeos anatómicos de 377 adultos mayores residentes en viviendas comunitarias. Se derivaron estimados regionales cuantitativos de 22 volúmenes sub-regionales usando el software FreeSurfer. Se evaluó trauma a través de la vida utilizando el inventario para TEPT validado de Watson, que evalúa el trauma más severo experimentado de acuerdo a criterios DSM. Se ajustaron los análisis por edad, sexo, volumen cerebral total, trauma encefálico y comorbilidades.Resultados: De los 212 participantes que reportaron trauma en la vida, un 35.4% reportó síntomas de reexperimentación y para el 1,9% fueron lo suficientemente severos para cumplir los criterios para el umbral completo del TEPT. Sólo en los participantes con el genotipo SS 5-HTTLPR, los síntomas de reexperimentación se asociaron con menores volúmenes en las regiones temporal media y superior, frontal (orbitolateral, rostral y caudal medial) y parietal (precúneo, inferior y superior). Los participantes expuestos a trauma sin síntomas de reexperimentación no variaron significativamente respecto a los no expuestos a trauma excepto por menor tamaño del precúneo y región superior parietal en los participantes traumatizados y un mayor tamaño de la amígdala específicamente en mujeres traumatizadas.Conclusiones: En una muestra no-clínica, el trauma a través de la vida y los síntomas de reexperimentación se asociaron con menor tamaño en sub-regiones corticales prefrontales, temporales y parietales, y esto varía de acuerdo a la vulnerabilidad genética serotoninérgica, siendo más susceptibles los individuos 5-HTTLPR SS.

10.
Hippocampus ; 19(6): 533-40, 2009 Jun.
Article in English | MEDLINE | ID: mdl-19437500

ABSTRACT

In this article, we present a framework to perform statistical shape analysis for segmented hippocampi, including an efficient permutation test for detecting subtle class differences, and a regularized discriminative direction method for visualizing the shape discrepancy. Fisher permutation and bootstrap tests are preferred to traditional hypothesis tests which impose assumptions on the distribution of the samples. In this article, an efficient algorithm is adopted to rapidly perform the exact tests. We extend this algorithm to multivariate data by projecting the shape descriptors onto an informative direction that preserves the original discriminative information as much as possible to generate a scalar test statistic. This informative direction is further used to seek a discriminative direction to isolate the discriminative shape difference between classes from the individual variability. Compared with existing methods, the discriminative direction used in this article is regularized by requiring that the shapes deformed along it respect the underlying shape distribution as well as reflecting the essential shape differences between two populations. Hence, a more accurate localization of difference is produced. We apply our methods to analyze the hippocampal shapes for controls and subjects with Alzheimer's disease from the publicly available OASIS MRI database. We show how to localize the shape differences between the two classes.


Subject(s)
Alzheimer Disease/pathology , Hippocampus/pathology , Aged , Aged, 80 and over , Algorithms , Databases, Factual , Female , Humans , Imaging, Three-Dimensional , Magnetic Resonance Imaging , Male , Middle Aged , Models, Anatomic , Multivariate Analysis
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