title: [Normal aging and imaging correlations].
abstract: Age-related structural, functional and biochemical changes of the brain can be visualized by neuroimaging methods. Physiological aging of the brain has to be clearly distinguished from pathological alterations of the brain for reliable and early diagnoses of neurodegenerative diseases. Concerning the speed of the cerebral aging process, significant inter-individual differences can be observed. In general, aging is associated with a decline of cognitive functions. Simultaneously, a decay of the average brain volume, especially in the frontal lobe accompanies the process of aging. Correspondingly, a strong susceptibility for age-related degeneration has been observed in the fronto-striato-thalamic network. Due to increasing age the white matter is affected by a progressive loss of fiber integrity mirrored in a significant decay of the fractionated anisotropy (FA) measured by diffusion tensor imaging (DTI). Age-related degeneration of the white matter further leads to a growing number of T2 hyperintense white-matter lesions. Aging also influences the cerebral perfusion pattern leading to a perceptible decay of the global cerebral blood flow (CBF) and blood volume (CBV). During life, iron accumulates in the brain, predominantly in the globus pallidus and in the substantia nigra. By 1H-MR spectroscopy, a decrease of N-acetyl-aspartate (NAA) as a correlate for reduced neuronal metabolism is found in the brain of elderly individuals.
authors: Abt E010, Radiologie, Deutsches Krebsforschungszentrum Heidelberg, Im Neuenheimer Feld 280, 69120 Heidelberg, Deutschland. l.schuster@dkfz.de
authors: L
authors: L
authors: Schuster
authors: M
authors: M
authors: Essig
authors: J
authors: J
authors: Schröder
mesh_terms: D000375:Aging / Q000473:pathology* / Q000502:physiology*; D001224:Aspartic Acid / Q000031:analogs & derivatives* / Q000378:metabolism; D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D012016:Reference Values; D013223:Statistics as Topic
chemical_list: D001224:Aspartic Acid; C000179:N-acetylaspartate