T. Karnos

Bio: T. Karnos is an academic researcher from Oregon Health & Science University. The author has contributed to research in topics: Dementia & Temporal lobe. The author has an hindex of 1, co-authored 1 publications receiving 384 citations.

Volume loss of the hippocampus and temporal lobe in healthy elderly persons destined to develop dementia

Abstract: Objective To determine initial locus and rate of degeneration of temporal lobe structures (total lobe, hippocampus and parahippocampus) in preclinical dementia. Background Postmortem studies suggest that the earliest changes in Alzheimer9s disease are neurofibrillary tangle formation in hippocampus and adjacent cortex. MRI volume analysis of temporal lobe structures over time in subjects prior to developing dementia may allow the identification of when these processes begin, the rate they develop, and which areas are key to symptom development. Methods 30 nondemented (NOD), healthy, elderly individuals enrolled in a prospective study of healthy aging evaluated annually over a mean of 42 months. Twelve subjects with subsequent cognitive decline were assigned to the preclinical dementia group (PreD). All 120 annual MRI studies analyzed by volumetric techniques assessed group differences in temporal lobe volumes and rates of brain loss. Results NOD as well as PreD subjects had significant, time-dependent decreases in hippocampal and parahippocampal volume. Rates of volume loss between the groups did not significantly differ. PreD cases had significantly smaller hippocampi when asymptomatic. Parahippocampal volume did not differ between PreD and NOD cases. Significant time-dependent temporal lobe atrophy was present only in PreD. Conclusions Hippocampal and parahippocampal atrophy occurs at a similar rate regardless of diagnostic group. Those who develop dementia may have smaller hippocampi to begin with, but become symptomatic because of accelerated loss of temporal lobe volume. Temporal lobe volume loss may mark the beginning of the disease process within six years prior to dementia onset.

Measuring the thickness of the human cerebral cortex from magnetic resonance images

Abstract: Accurate and automated methods for measuring the thickness of human cerebral cortex could provide powerful tools for diagnosing and studying a variety of neurodegenerative and psychiatric disorders. Manual methods for estimating cortical thickness from neuroimaging data are labor intensive, requiring several days of effort by a trained anatomist. Furthermore, the highly folded nature of the cortex is problematic for manual techniques, frequently resulting in measurement errors in regions in which the cortical surface is not perpendicular to any of the cardinal axes. As a consequence, it has been impractical to obtain accurate thickness estimates for the entire cortex in individual subjects, or group statistics for patient or control populations. Here, we present an automated method for accurately measuring the thickness of the cerebral cortex across the entire brain and for generating cross-subject statistics in a coordinate system based on cortical anatomy. The intersubject standard deviation of the thickness measures is shown to be less than 0.5 mm, implying the ability to detect focal atrophy in small populations or even individual subjects. The reliability and accuracy of this new method are assessed by within-subject test-retest studies, as well as by comparison of cross-subject regional thickness measures with published values.

Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade

Abstract: Summary Currently available evidence strongly supports the position that the initiating event in Alzheimer's disease (AD) is related to abnormal processing of β-amyloid (Aβ) peptide, ultimately leading to formation of Aβ plaques in the brain. This process occurs while individuals are still cognitively normal. Biomarkers of brain β-amyloidosis are reductions in CSF Aβ 42 and increased amyloid PET tracer retention. After a lag period, which varies from patient to patient, neuronal dysfunction and neurodegeneration become the dominant pathological processes. Biomarkers of neuronal injury and neurodegeneration are increased CSF tau and structural MRI measures of cerebral atrophy. Neurodegeneration is accompanied by synaptic dysfunction, which is indicated by decreased fluorodeoxyglucose uptake on PET. We propose a model that relates disease stage to AD biomarkers in which Aβ biomarkers become abnormal first, before neurodegenerative biomarkers and cognitive symptoms, and neurodegenerative biomarkers become abnormal later, and correlate with clinical symptom severity.

Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria

Abstract: The NINCDS-ADRDA and the DSM-IV-TR criteria for Alzheimer's disease (AD) are the prevailing diagnostic standards in research; however, they have now fallen behind the unprecedented growth of scientific knowledge. Distinctive and reliable biomarkers of AD are now available through structural MRI, molecular neuroimaging with PET, and cerebrospinal fluid analyses. This progress provides the impetus for our proposal of revised diagnostic criteria for AD. Our framework was developed to capture both the earliest stages, before full-blown dementia, as well as the full spectrum of the illness. These new criteria are centred on a clinical core of early and significant episodic memory impairment. They stipulate that there must also be at least one or more abnormal biomarkers among structural neuroimaging with MRI, molecular neuroimaging with PET, and cerebrospinal fluid analysis of amyloid beta or tau proteins. The timeliness of these criteria is highlighted by the many drugs in development that are directed at changing pathogenesis, particularly at the production and clearance of amyloid beta as well as at the hyperphosphorylation state of tau. Validation studies in existing and prospective cohorts are needed to advance these criteria and optimise their sensitivity, specificity, and accuracy.