Discovering EEG resting state alterations of Semantic Dementia

Objective Diagnosis of semantic dementia relies on cost-intensive MRI or PET, although resting EEG markers of other dementias have been reported. Yet the view still holds that resting EEG in patients with semantic dementia is normal. However, studies using increasingly sophisticated EEG analysis methods have demonstrated that slightest alterations of functional brain states can be detected. Methods We analyzed the common four resting EEG microstates (A, B, C, and D) of 8 patients with semantic dementia in comparison with 8 healthy controls and 8 patients with Alzheimer’s disease. Results Topographical differences between the groups were found in microstate classes B and C, while microstate classes A and D were comparable. The data showed that the semantic dementia group had a peculiar microstate E, but the commonly found microstate C was lacking. Furthermore, the presence of microstate E was significantly correlated with lower MMSE and language scores. Conclusion Alterations in resting EEG can be found in semantic dementia. Topographical shifts in microstate C might be related to semantic memory deficits. Significance This is the first study that discovered resting state EEG abnormality in semantic dementia. The notion that resting EEG in this dementia subtype is normal has to be revised.

C9ORF72 Regulates Stress Granule Formation and Its Deficiency Impairs Stress Granule Assembly, Hypersensitizing Cells to Stress

Hexanucleotide repeat expansions in the C9ORF72 gene are causally associated with frontotemporal lobar dementia (FTLD) and/or amyotrophic lateral sclerosis (ALS). The physiological function of the normal C9ORF72 protein remains unclear. In this study, we characterized the subcellular localization of C9ORF72 to processing bodies (P-bodies) and its recruitment to stress granules (SGs) upon stress-related stimuli. Gain of function and loss of function experiments revealed that the long isoform of C9ORF72 protein regulates SG assembly. CRISPR/Cas9-mediated knockdown of C9ORF72 completely abolished SG formation, negatively impacted the expression of SG-associated proteins such as TIA-1 and HuR, and accelerated cell death. Loss of C9ORF72 expression further compromised cellular recovery responses after the removal of stress. Additionally, mimicking the pathogenic condition via the expression of hexanucleotide expansion upstream of C9ORF72 impaired the expression of the C9ORF72 protein, caused an abnormal accumulation of RNA foci, and led to the spontaneous formation of SGs. Our study identifies a novel function for normal C9ORF72 in SG assembly and sheds light into how the mutant expansions might impair SG formation and cellular-stress-related adaptive responses.

Does diabetes mellitus contribute to the disease burden of vascular dementia?

Background. Vascular dementia (VaD) is the second most common of dementia. Multiple risk factors are associated with VaD, but the individual contribution of each to disease onset and progression is unclear. We examined the relationship between diabetes mellitus type 2 (DM) and the clinical variables of VaD.^ Methods. Data from 593 patients evaluated between June, 2003 and June, 2008 for cognitive impairment were prospectively entered into a database. We retrospectively reviewed the charts of 63 patients who fit the NINDS-AIREN criteria of VaD. The patients were divided into those with DM (VaD-DM, n=29) and those without DM (VaD, n=34). The groups were compared with regard to multiple variables.^ Results. Patients with DM had a significantly earlier onset of VaD (71.9±6.54 vs. 77.2±6.03, p<0.001), a faster rate of decline per year on the mini mental state examination (MMSE; 3.60±1.82 vs. 2.54±1.60 points, p=0.02), and a greater prevalence of neuropsychiatric symptoms (62% vs. 21%, p=0.02) at the time of diagnosis.^ Conclusions. This study shows that a history of pre-morbid DM is associated with an early onset and faster cognitive deterioration in VaD. Moreover, the presence of DM predicts the presence of neuropsychiatric symptoms in patients with VaD. A larger study is needed to verify these associations. It will be important to investigate whether better glycemic control will mitigate the potential effects of DM on VaD.^

Recommendations for dementia caregiver stress interventions based on Intervention Mapping guidelines

Stress can affect a person's psychological and physical health and cause a variety of conditions including depression, immune system changes, and hypertension (Alzheimer's Association, 2010; Aschbacher et al., 2009; Fredman et al., 2010; Long et al., 2004; Mills et al., 2009; von Känel et al., 2008). The severity and consequences of these conditions can vary based on the duration, amount, and sources of stress experienced by the individual (Black & Hyer, 2010; Coen et al., 1997; Conde-Sala et al., 2010; Pinquart & Sörensen, 2007). Caregivers of people with dementia have an elevated risk for stress and its related health problems because they experience more negative interactions with, and provide more emotional support for, their care recipients than other caregivers. ^ This paper uses a systematic program planning process of Intervention Mapping to organize evidence from literature, qualitative research and theory to develop recommendations for a theory- and evidence-based intervention to improve outcomes for caregivers of people with dementia. A needs assessment was conducted to identify specific dementia caregiver stress influences and a logic model of dementia caregiver stress was developed using the PRECEDE Model. Necessary behavior and environmental outcomes are identified for dementia caregiver stress reduction and performance objectives for each were combined with selected determinants to produce change objectives. Planning matrices were then designed to inform effective theory-based methods and practical applications for recommended intervention delivery. Recommendations for program components, their scope and sequence, the completed program materials, and the program protocols are delineated along with ways to insure that the program is adopted and implemented after it is shown to be effective.^

Endocrine modulation of the neurotoxicity of gp120: Implications for AIDS-related dementia complex

HIV infection often involves the development of AIDS-related dementia complex, a variety of neurologic, neuropsychologic, and neuropathologic impairments. A possible contributor to AIDS-related dementia complex is the HIV envelope glycoprotein gp120, which damages neurons via a complex glutamate receptor- and calcium-dependent cascade. We demonstrate an endocrine modulation of the deleterious effects of gp120 in primary hippocampal and cortical cultures. Specifically, we observe that gp120-induced calcium mobilization and neurotoxicity are exacerbated by glucocorticoids, the adrenal steroids secreted during stress. Importantly, this deleterious synergy can occur between gp120 and synthetic glucocorticoids (such as prednisone or dexamethasone) that are used clinically in high concentrations to treat severe cases of the Pneumocystis carinii pneumonia typical of HIV infection. Conversely, we also observe that estradiol protects neurons from the deleterious actions of gp120, reducing toxicity and calcium mobilization.

The neuronal RNA-binding protein Nova-2 is implicated as the autoantigen targeted in POMA patients with dementia

Paraneoplastic opsoclonus myoclonus ataxia (POMA) is a neurologic disorder thought to be mediated by an autoimmune attack against onconeural disease antigens that are expressed by gynecologic or lung tumors and by neurons. One POMA disease antigen, termed Nova-1, has been identified as a neuron-specific KH-type RNA-binding protein. Nova-1 expression is restricted to specific regions of the central nervous system, primarily the hindbrain and ventral spinal cord, which correlate with the predominantly motor symptoms in POMA. However, POMA antisera recognize antigens that are widely expressed in both caudal and rostral regions of the central nervous system, and some patients develop cognitive symptoms. We have used POMA antisera to clone a cDNA encoding a second POMA disease antigen termed Nova-2. Nova-2 is closely related to Nova-1, and is expressed at high levels in neurons during development and in adulthood, and at lower levels in the adult lung. In the postnatal mouse brain, Nova-2 is expressed in a pattern that is largely reciprocal with Nova-1, including high levels of Nova-2 expression in the neocortex and hippocampus. Functional characterization of Nova-2 in RNA selection and nitrocellulose filter-binding assays reveals that Nova-2 binds RNA with high affinity and with sequence specificity that differs from Nova-1. Our results demonstrate that the immune response in POMA targets a family of highly related sequence-specific neuronal RNA-binding proteins. The expression pattern of the Nova-2 protein is likely to underlie the development of cognitive deficits in some POMA patients.

Axon pathology in Parkinson’s disease and Lewy body dementia hippocampus contains α-, β-, and γ-synuclein

Pathogenic α-synuclein (αS) gene mutations occur in rare familial Parkinson’s disease (PD) kindreds, and wild-type αS is a major component of Lewy bodies (LBs) in sporadic PD, dementia with LBs (DLB), and the LB variant of Alzheimer’s disease, but β-synuclein (βS) and γ-synuclein (γS) have not yet been implicated in neurological disorders. Here we show that in PD and DLB, but not normal brains, antibodies to αS and βS reveal novel presynaptic axon terminal pathology in the hippocampal dentate, hilar, and CA2/3 regions, whereas antibodies to γS detect previously unrecognized axonal spheroid-like lesions in the hippocampal dentate molecular layer. The aggregation of other synaptic proteins and synaptic vesicle-like structures in the αS- and βS-labeled hilar dystrophic neurites suggests that synaptic dysfunction may result from these lesions. Our findings broaden the concept of neurodegenerative “synucleinopathies” by implicating βS and γS, in addition to αS, in the onset/progression of PD and DLB.

α-Synuclein in filamentous inclusions of Lewy bodies from Parkinson’s disease and dementia with Lewy bodies

Lewy bodies and Lewy neurites are the defining neuropathological characteristics of Parkinson’s disease and dementia with Lewy bodies. They are made of abnormal filamentous assemblies of unknown composition. We show here that Lewy bodies and Lewy neurites from Parkinson’s disease and dementia with Lewy bodies are stained strongly by antibodies directed against amino-terminal and carboxyl-terminal sequences of α-synuclein, showing the presence of full-length or close to full-length α-synuclein. The number of α-synuclein-stained structures exceeded that immunoreactive for ubiquitin, which is currently the most sensitive marker of Lewy bodies and Lewy neurites. Staining for α-synuclein thus will replace staining for ubiquitin as the preferred method for detecting Lewy bodies and Lewy neurites. We have isolated Lewy body filaments by a method used for the extraction of paired helical filaments from Alzheimer’s disease brain. By immunoelectron microscopy, extracted filaments were labeled strongly by anti-α-synuclein antibodies. The morphologies of the 5- to 10-nm filaments and their staining characteristics suggest that extended α-synuclein molecules run parallel to the filament axis and that the filaments are polar structures. These findings indicate that α-synuclein forms the major filamentous component of Lewy bodies and Lewy neurites.

Neural-network-based classification of cognitively normal, demented, Alzheimer disease and vascular dementia from single photon emission with computed tomography image data from brain.

Single photon emission with computed tomography (SPECT) hexamethylphenylethyleneamineoxime technetium-99 images were analyzed by an optimal interpolative neural network (OINN) algorithm to determine whether the network could discriminate among clinically diagnosed groups of elderly normal, Alzheimer disease (AD), and vascular dementia (VD) subjects. After initial image preprocessing and registration, image features were obtained that were representative of the mean regional tissue uptake. These features were extracted from a given image by averaging the intensities over various regions defined by suitable masks. After training, the network classified independent trials of patients whose clinical diagnoses conformed to published criteria for probable AD or probable/possible VD. For the SPECT data used in the current tests, the OINN agreement was 80 and 86% for probable AD and probable/possible VD, respectively. These results suggest that artificial neural network methods offer potential in diagnoses from brain images and possibly in other areas of scientific research where complex patterns of data may have scientifically meaningful groupings that are not easily identifiable by the researcher.