Alessandra Canuto

Cortical Microinfarcts and Demyelination Significantly Affect Cognition in Brain Aging

Background and Purpose— Microvascular lesions are common in brain aging, but their clinical impact is debated. Methodological problems such as the masking effect of concomitant pathologies may explain discrepancies among previous studies. To evaluate the cognitive consequences of such lesions, we prospectively investigated elderly individuals with various degrees of cognitive impairment but without significant neurofibrillary tangle pathology or macrovascular lesions. Methods— This was a clinicopathological study of 45 elderly individuals. Cognitive status was assessed prospectively with the Clinical Dementia Rating (CDR) scale; neuropathological evaluation included A&bgr;-protein deposition staging and bilateral semiquantitative assessment of cortical microinfarcts, focal cortical and white matter glioses, and diffuse white matter and periventricular demyelination. Results— In a univariate logistic regression model, cortical microinfarcts explained 36.1% of the variability in CDR; periventricular demyelination, 10.6%; and diffuse white matter demyelination, 4.6%. After controlling for age and A&bgr;-protein deposition, cortical microinfarcts were the best predictor of cognitive status (19.9% of CDR variability), whereas periventricular and diffuse white matter demyelination accounted for 9.7% and 5.4% of CDR variability, respectively. Altogether, these 3 types of microvascular lesions explained 27.9% of the clinical variability. Focal cortical and white matter glioses were not related to clinical outcome. Conclusions— Our data imply that cortical microinfarcts and both periventricular and deep white matter demyelination contribute significantly to the progression of cognitive deficits in brain aging. In contrast, the neuropathological evaluation of focal cortical and white matter gliosis has no clinical validity.

Cognitive Consequences of Thalamic, Basal Ganglia, and Deep White Matter Lacunes in Brain Aging and Dementia

Background and Purpose— Most previous studies addressed the cognitive impact of lacunar infarcts using radiologic correlations that are known to correlate poorly with neuropathological data. Moreover, absence of systematic bilateral assessment of vascular lesions and masking effects of Alzheimer disease pathology and macrovascular lesions may explain discrepancies among previous reports. To define the relative contribution of silent lacunes to cognitive decline, we performed a detailed analysis of lacunar and microvascular pathology in both cortical and subcortical areas of 72 elderly individuals without significant neurofibrillary tangle pathology or macrovascular lesions. Methods— Cognitive status was assessed prospectively using the Clinical Dementia Rating (CDR) scale; neuropathological evaluation included Aβ-protein deposition staging and bilateral assessment of microvascular ischemic pathology and lacunes; statistical analysis included multivariate models controlling for age, amyloid deposits, and microvascular pathology. Results— Thalamic and basal ganglia lacunes were negatively associated with CDR scores; cortical microinfarcts, periventricular and diffuse white matter demyelination also significantly affected cognition. In a multivariate model, cortical microinfarcts and thalamic and basal ganglia lacunes explained 22% of CDR variability; amyloid deposits and microvascular pathology explained 12%, and the assessment of thalamic and basal ganglia lacunes added an extra 17%. Deep white matter lacunes were not related to cognitive status in univariate and multivariate models. Conclusions— In agreement with the recently proposed concept of subcortical ischemic vascular dementia, our autopsy series provides important evidence that gray matter lacunes are independent predictors of cognitive decline in elderly individuals without concomitant dementing processes such as Alzheimer disease.

Cortical microinfarcts and demyelination affect cognition in cases at high risk for dementia

Objective: To investigate the possible synergistic effect of microvascular lesions with mild Alzheimer disease (AD) pathology in mixed cases. Methods: We assessed the cognitive impact of cortical microinfarcts, deep white matter and periventricular demyelination, as well as diffuse and focal gliosis in a large series of 43 prospectively evaluated autopsy cases scored Braak neurofibrillary tangle stage III, but without macroscopic vascular pathology or substantial non-AD, nonvascular microscopic lesions. We included bilateral assessment of all types of microvascular lesions and used multivariate models that control for the possible confounding effect of age and amyloid β-protein (Aβ) deposits. Results: Only cortical microinfarcts and periventricular demyelination were significantly associated with the Clinical Dementia Rating Scale (CDR) score. In a univariate model, the cortical microinfarct score explained 9% of the variability in CDR scores and periventricular demyelination score 7.3%. Aβ deposition explained only 3.5% of the CDR variability. In a logistic regression model, both variables were strongly associated with the presence of dementia (R = 0.45; p < 0.05). When the CDR sum of the boxes was used, Aβ staging explained 8.9% of cognitive variability, the addition of cortical microinfarct predicted an extra 15.5%, and that of periventricular demyelination an extra 9%. Conclusions: Cortical microinfarcts and, to a lesser degree, periventricular demyelination contribute to the cognitive decline in individuals at high risk for dementia. Both should be taken into account when defining the neuropathologic criteria for mixed dementia.

Combined analysis of grey matter voxel-based morphometry and white matter tract-based spatial statistics in late-life bipolar disorder.

BACKGROUND Previous magnetic resonance imaging (MRI) studies in young patients with bipolar disorder indicated the presence of grey matter concentration changes as well as microstructural alterations in white matter in various neocortical areas and the corpus callosum. Whether these structural changes are also present in elderly patients with bipolar disorder with long-lasting clinical evolution remains unclear. METHODS We performed a prospective MRI study of consecutive elderly, euthymic patients with bipolar disorder and healthy, elderly controls. We conducted a voxel-based morphometry (VBM) analysis and a tract-based spatial statistics (TBSS) analysis to assess fractional anisotropy and longitudinal, radial and mean diffusivity derived by diffusion tensor imaging (DTI). RESULTS We included 19 patients with bipolar disorder and 47 controls in our study. Fractional anisotropy was the most sensitive DTI marker and decreased significantly in the ventral part of the corpus callosum in patients with bipolar disorder. Longitudinal, radial and mean diffusivity showed no significant between-group differences. Grey matter concentration was reduced in patients with bipolar disorder in the right anterior insula, head of the caudate nucleus, nucleus accumbens, ventral putamen and frontal orbital cortex. Conversely, there was no grey matter concentration or fractional anisotropy increase in any brain region in patients with bipolar disorder compared with controls. LIMITATIONS The major limitation of our study is the small number of patients with bipolar disorder. CONCLUSION Our data document the concomitant presence of grey matter concentration decreases in the anterior limbic areas and the reduced fibre tract coherence in the corpus callosum of elderly patients with long-lasting bipolar disorder.

Review: Contact sport-related chronic traumatic encephalopathy in the elderly: clinical expression and structural substrates

A. Costanza, K. Weber, S. Gandy, C. Bouras, P. R. Hof, P. Giannakopoulos and A. Canuto (2011) Neuropathology and Applied Neurobiology37, 570–584

Longitudinal analysis of cognitive performances and structural brain changes in late-life bipolar disorder.

Cross‐sectional studies in bipolar disorder (BD) suggested the presence of cognitive deficits and subtle magnetic resonance imaging (MRI) changes in limbic areas that may persist at euthymic stages. Whether or not cognitive and MRI changes represent stable attributes of BD or evolve with time is still matter of debate. To address this issue, we performed a 2‐year longitudinal study including detailed neuropsychological and magnetic resonance imaging (MRI) analyses of 15 euthymic older BD patients and 15 controls.

Neuroanatomical and Neuropsychological Features of Euthymic Patients with Bipolar Disorder

OBJECTIVE Previous studies reported that the severity of cognitive deficits in euthymic patients with bipolar disorder (BD) increases with the duration of illness and postulated that progressive neuronal loss or shrinkage and white matter changes may be at the origin of this phenomenon. To explore this issue, the authors performed a case-control study including detailed neuropsychological and magnetic resonance imaging analyses in 17 euthymic elderly patients with BD and 17 healthy individuals. METHODS Neuropsychological evaluation concerned working memory, episodic memory, processing speed, and executive functions. Volumetric estimates of the amygdala, hippocampus, entorhinal cortex, and anterior cingulate cortex were obtained using both voxel-based and region of interest morphometric methods. Periventricular and deep white matter were assessed semiquantitatively. Differences in cognitive performances and structural data between BD and comparison groups were analyzed using paired t-test or analysis of variance. Wilcoxon test was used in the absence of normal distribution. RESULTS Compared with healthy individuals, patients with BD obtained significantly lower performances in processing speed, working memory, and episodic memory but not in executive functions. Morphometric analyses did not show significant volumetric or white matter differences between the two groups. CONCLUSIONS Our results revealed impairment in verbal memory, working memory, and processing speed in euthymic older adults with BD. These cognitive deficits are comparable both in terms of affected functions and size effects to those previously reported in younger cohorts with BD. Both this observation and the absence of structural brain abnormalities in our cohort do not support a progressively evolving neurotoxic effect in BD.

Personality traits are associated with acute major depression across the age spectrum

Objectives: Psychological predictors, such as personality traits, have aroused growing interest as possible predictors of late-life depression outcome in old age. It remains, however, unclear whether the cross-sectional relationship between personality traits and depression occurrence reported in younger samples is also present in the elderly. Methods: Comparisons amongst 79 outpatients with DSM-IV major depression and 102 healthy controls included assessment of the five-factor model of personality (NEO PI-R), socio-demographic variables, physical health status, as well as depression features. Two sub-groups were considered, defined as young (25–50 years) and old (60–85 years) patients. Results: Depressed patients showed significantly higher levels of Neuroticism and lower levels of Extraversion, Openness to Experience and Conscientiousness compared to controls. Sequential logistic regression models confirmed that the combination of increased physical burden, levels of dependency, and increased Neuroticism strongly predicts the occurrence of acute depressive symptoms. In contrast, the levels of Neuroticism did not allow for differentiating late-life from young age depression. Increased physical burden and decreased depression severity were the main predictors for this distinction. Conclusion: Our data indicate that personality factors and depression are related, independently of patients’ age. Differences in this relationship are mainly due to the intensity of depressive symptoms rather than the patients’ life period. They also stress the need to consider physical health, level of dependency and severity of symptoms when studying the relationship between personality traits and mood disorders.

Neuroanatomical and neuropsychological features of elderly euthymic depressed patients with early- and late-onset.

BACKGROUND Whether or not cognitive impairment and brain structure changes are trait characteristics of late-life depression is still disputed. Previous studies led to conflicting data possibly because of the difference in the age of depression onset. In fact, several lines of evidence suggest that late-onset depression (LOD) is more frequently associated with neuropsychological deficits and brain pathology than early-onset depression (EOD). To date, no study explored concomitantly the cognitive profile and brain magnetic resonance imaging (MRI) patterns in euthymic EOD and LOD patients. METHOD Using a cross-sectional design, 41 remitted outpatients (30 with EOD and 11 with LOD) were compared to 30 healthy controls. Neuropsychological evaluation concerned working memory, episodic memory, processing speed, naming capacity and executive functions. Volumetric estimates of the amygdala, hippocampus, entorhinal and anterior cingulate cortex were obtained using both voxel-based and region of interest morphometric methods. White matter hyperintensities were assessed semiquantitatively. RESULTS Both cognitive performance and brain volumes were preserved in euthymic EOD patients whereas LOD patients showed a significant reduction of episodic memory capacity and a higher rate of periventricular hyperintensities compared to both controls and EOD patients. CONCLUSION Our results support the dissociation between EOD thought to be mainly related to psychosocial factors and LOD that is characterized by increasing vascular burden and episodic memory decline.

Validation of clinical criteria for possible vascular dementia in the oldest-old.

Although vascular dementia (VaD) is a main pathology in nonagenarians and centenarians, the validity of clinical criteria for this diagnosis is unknown. We analyzed 110 autopsy cases and reported sensitivities and specificities of the State of California Alzheimers Disease Diagnostic and Treatment Centers (ADDTC) and National Institute for Neurological Disorders and Stroke (NINDS-AIREN) criteria for possible VaD as well as Hachinski ischemic score (HIS). Among them, there were 36 neuropathologically confirmed VaD cases. All criteria displayed comparable sensitivities (0.56-0.58). Specificities values were 0.74, 0.73 and 0.66, respectively. There was an age-related decrease on ADDTC criteria sensitivity due to the fact that 42% of pure VaD cases did not present with stroke. Thirty percent of mixed dementia (MD) cases were diagnosed as VaD by both NINDS-AIREN and ADDTC criteria. This proportion reached 45.9% for the HIS. These data demonstrate that the new diagnostic criteria for possible VaD do not provide a substantial gain of sensitivity compared to the HIS. Although their specificity was significantly lower in this age group compared to younger cohorts, all of them successfully exclude AD cases.