Fractal dimension of the brain in neurodegenerative disease and dementia: A systematic review.

Sensitive and specific antemortem biomarkers of neurodegenerative disease and dementia are crucial to the pursuit of effective treatments, required both to reliably identify disease and to track its progression. Atrophy is the structural magnetic resonance imaging (MRI) hallmark of neurodegeneration. However in most cases it likely indicates a relatively advanced stage of disease less susceptible to treatment as some disease processes begin decades prior to clinical onset. Among emerging metrics that characterise brain shape rather than volume, fractal dimension (FD) quantifies shape complexity. FD has been applied in diverse fields of science to measure subtle changes in elaborate structures. We review its application thus far to structural MRI of the brain in neurodegenerative disease and dementia. We identified studies involving subjects who met criteria for mild cognitive impairment, Alzheimer's Disease, Vascular Dementia, Lewy Body Dementia, Frontotemporal Dementia, Amyotrophic Lateral Sclerosis, Parkinson's Disease, Huntington's Disease, Multiple Systems Atrophy, Spinocerebellar Ataxia and Multiple Sclerosis. The early literature suggests that neurodegenerative disease processes are usually associated with a decline in FD of the brain. The literature includes examples of disease-related change in FD occurring independently of atrophy, which if substantiated would represent a valuable advantage over other structural imaging metrics. However, it is likely to be non-specific and to exhibit complex spatial and temporal patterns. A more harmonious methodological approach across a larger number of studies as well as careful attention to technical factors associated with image processing and FD measurement will help to better elucidate the metric's utility.

Platelet Tau Protein as a Potential Peripheral Biomarker in Alzheimer's Disease: An Explorative Study.

BACKGROUND: Cerebrospinal fluid (CSF) measures of tau and amyloid proteins have now been largely accepted to be a diagnostic tool to aid the clinical diagnosis of Alzheimer's disease (AD), but CSF is not routinely obtained in most clinical settings. There is a need, therefore, to uncover additional readily accessible peripheral biomarkers that will enable comprehensive detection of AD-specific proteins in blood and blood derivates. OBJECTIVES: Blood platelets contain proteins found in neuronal cell lines, including tau protein. Since tau protein is a characteristic of AD-neuropathology, platelet tau protein may be closely related to the central nervous process occurring in neurodegeneration. METHOD: Platelets from 25 AD and 26 control subjects were analysed for the microtubule-binding and C-terminal region, as well as two tau phosphorylation sites (Ser202/Thr205 and Thr181). RESULTS: Tau protein measures did not discriminate between AD and control individuals. However, subjects with MMSE 24-27 had elevated C-terminal end tau protein (p=0.049) compared to those with MMSE >27, whereas older AD subjects (>80 years) showed higher t-tau protein in comparison to younger AD (<80 years; p=0.009) and control (<80 years; p=0.011) participants. CONCLUSIONS: These initial findings not only confirm that platelet tau protein can be measured, but also indicate that platelet tau measures merit further study as they may be useful in indicating early stages of cognitive impairment. Further studies on larger number of participants are needed to confirm our findings.