Reduced overnight memory consolidation and associated alterations in sleep spindles and slow oscillations in early Alzheimer's disease.

Spatial navigation critically underlies hippocampal-entorhinal circuit function that is early affected in Alzheimer's disease (AD). There is growing evidence that AD pathophysiology dynamically interacts with the sleep/wake cycle impairing hippocampal memory. To elucidate sleep-dependent consolidation in a cohort of symptomatic AD patients (n = 12, 71.25 ± 2.16 years), we tested hippocampal place learning by means of a virtual reality task and verbal memory by a word-pair association task before and after a night of sleep. Our results show an impaired overnight memory retention in AD compared with controls in the verbal task, together with a significant reduction of sleep spindle activity (i.e., lower amplitude of fast sleep spindles, p = 0.016) and increased duration of the slow oscillation (SO; p = 0.019). Higher spindle density, faster down-to-upstate transitions within SOs, and the time delay between SOs and nested spindles predicted better memory performance in healthy controls but not in AD patients. Our results show that mnemonic processing and memory consolidation in AD is slightly impaired as reflected by dysfunctional oscillatory dynamics and spindle-SO coupling during NonREM sleep. In this translational study based on experimental paradigms in animals and extending previous work in healthy aging and preclinical disease stages, our results in symptomatic AD further deepen the understanding of the memory decline within a bidirectional relationship of sleep and AD pathology.

Deep brain stimulation of the subthalamic nucleus restores spatial reversal learning in patients with Parkinson's disease.

Spatial learning and navigation are supported by distinct memory systems in the human brain such as the hippocampus-based navigational system and the striatum-cortex-based system involved in motor sequence, habit and reversal learning. Here, we studied the role of subthalamic circuits in hippocampus-associated spatial memory and striatal-associated spatial reversal learning formation in patients with Parkinson's disease, who underwent a deep brain stimulation of the subthalamic nucleus. Deep brain stimulation patients (Parkinson's disease-subthalamic nucleus: n = 26) and healthy subjects (n = 15) were tested in a novel experimental spatial memory task based on the Morris water maze that assesses both hippocampal place memory as well as spatial reversal learning. All subjects were trained to navigate to a distinct spatial location hidden within the virtual environment during 16 learning trials in a subthalamic nucleus Stim-On condition. Patients were then randomized into two groups with either a deep brain stimulation On or Off condition. Four hours later, subjects were retested in a delayed recall and reversal learning condition. The reversal learning was realized with a new hidden location that should be memorized during six consecutive trials. The performance was measured by means of an index indicating the improvement during the reversal learning. In the delayed recall condition, neither patients, healthy subjects nor the deep brain stimulation On- versus Off groups showed a difference in place memory performance of the former trained location. In the reversal learning condition, healthy subjects (reversal index 2.0) and patients in the deep brain stimulation On condition (reversal index 1.6) showed a significant improvement. However, patients in the deep brain stimulation Off condition (reversal index 1.1) performed significantly worse and did not improve. There were no differences between all groups in a final visual guided navigation task with a visible target. These results suggest that deep brain stimulation of subthalamic nucleus restores spatial reversal learning in a virtual navigation task in patients with Parkinson's disease and gives insight into the neuromodulation effects on cognition of subthalamic circuits in Parkinson's disease.

Disease- and stage-specific alterations of the oral and fecal microbiota in Alzheimer's disease.

Microbial communities in the intestinal tract are suggested to impact the ethiopathogenesis of Alzheimer's disease (AD). The human microbiome might modulate neuroinflammatory processes and contribute to neurodegeneration in AD. However, the microbial compositions in patients with AD at different stages of the disease are still not fully characterized. We used 16S rRNA analyses to investigate the oral and fecal microbiota in patients with AD and mild cognitive impairment (MCI; n = 84), at-risk individuals (APOE4 carriers; n = 17), and healthy controls (n = 50) and investigated the relationship of microbial communities and disease-specific markers via multivariate- and network-based approaches. We found a slightly decreased diversity in the fecal microbiota of patients with AD (average Chao1 diversity for AD = 212 [SD = 66]; for controls = 215 [SD = 55]) and identified differences in bacterial abundances including Bacteroidetes, Ruminococcus, Sutterella, and Porphyromonadaceae. The diversity in the oral microbiota was increased in patients with AD and at-risk individuals (average Chao1 diversity for AD = 174 [SD = 60], for at-risk group = 195 [SD = 49]). Gram-negative proinflammatory bacteria including Haemophilus, Neisseria, Actinobacillus, and Porphyromonas were dominant oral bacteria in patients with AD and MCI and the abundance correlated with the cerebrospinal fluid biomarker. Taken together, we observed a strong shift in the fecal and the oral communities of patients with AD already prominent in prodromal and, in case of the oral microbiota, in at-risk stages. This indicates stage-dependent alterations in oral and fecal microbiota in AD which may contribute to the pathogenesis via a facilitated intestinal and systemic inflammation leading to neuroinflammation and neurodegeneration.

Characterizing mixed location hemorrhages/microbleeds with CSF markers.

OBJECTIVE: Cerebral amyloid angiopathy (CAA) is a common cause of lobar and subarachnoid hemorrhages in the elderly. A diagnosis of CAA requires multiple lobar hemorrhagic lesions (intracerebral hemorrhage and/or cerebral microbleeds) and/or cortical superficial siderosis (cSS). In contrast, hemorrhagic lesions located in the deep structures are the hallmark of hypertensive arteriopathy (HTN-A). They are an exclusion criterion for CAA, and when present with lobar hemorrhagic lesions considered a separate entity: mixed location hemorrhages/microbleeds (MLHs). We compared clinical, radiological, and cerebrospinal fluid (CSF) marker data in patients with CAA, MLH, and Alzheimer's disease (AD), and healthy controls (HCs) and used it to position MLH in the disease spectrum. PATIENTS AND METHODS: Retrospective cohort study of consecutive patients with CAA (n = 31), MLH (n = 31), AD (n = 28), and HC (n = 30). Analysis of clinical, radiological, CSF biomarker (Aß42, Aß40, t-tau, and p-tau), and histopathological data in patients each group. RESULTS: cSS was significantly more common in CAA than MLH (45% vs 13%, p = 0.011), and cSS in MLH was associated with intracerebral hemorrhage (ICH) (p = 0.037). Aß42 levels and the Aß42/Aß40 ratio, diagnostic groups followed the order HC > MLH > CAA > AD and the opposite order for t-tau and p-tau. No clear order was apparent forAß40. Aß40 and Aß42 levels as well as the Aß42/Aß40 ratio were lower in both CAA and MLH patients with cSS than in patients without cSS. Aß40 and Aß42 levels were higher in CAA and MLH patients with lacunar infarcts than in those without. CONCLUSION: Our data suggest that MLH and CAA are mutually not exclusive diagnoses, and are part of a spectrum with variable contributions of both CAA and HTN-A.

Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy: New Data and Quantitative Meta-Analysis.

BACKGROUND: To evaluate the diagnostic accuracy of cerebrospinal fluid (CSF) biomarkers in patients with probable cerebral amyloid angiopathy (CAA) according to the modified Boston criteria in a retrospective multicentric cohort. METHODS: Beta-amyloid 1-40 (Aß40), beta-amyloid 1-42 (Aß42), total tau (t-tau), and phosphorylated tau 181 (p-tau181) were measured in 31 patients with probable CAA, 28 patients with Alzheimer's disease (AD), and 30 controls. Receiver-operating characteristics (ROC) analyses were performed for the measured parameters as well as the Aß42/40 ratio to estimate diagnostic parameters. A meta-analysis of all amenable published studies was conducted. RESULTS: In our data Aß42/40 (AUC 0.88) discriminated best between CAA and controls while Aß40 did not perform well (AUC 0.63). Differentiating between CAA and AD, p-tau181 (AUC 0.75) discriminated best in this study while Aß40 (AUC 0.58) and Aß42 (AUC 0.54) provided no discrimination. In the meta-analysis, Aß42/40 (AUC 0.90) showed the best discrimination between CAA and controls followed by t-tau (AUC 0.79), Aß40 (AUC 0.76), and p-tau181 (AUC 0.71). P-tau181 (AUC 0.76), Aß40 (AUC 0.73), and t-tau (AUC 0.71) differentiated comparably between AD and CAA while Aß42 (AUC 0.54) did not. In agreement with studies examining AD biomarkers, Aß42/40 discriminated excellently between AD and controls (AUC 0.92-0.96) in this study as well as the meta-analysis. CONCLUSION: The analyzed parameters differentiate between controls and CAA with clinically useful accuracy (AUC > ∼0.85) but not between CAA and AD. Since there is a neuropathological, clinical and diagnostic continuum between CAA and AD, other diagnostic markers, e.g., novel CSF biomarkers or other parameters might be more successful.