Iron deficiency early in life is associated with cognitive disturbances that persist beyond the period of iron deficiency. Within cognitive processing circuitry, the hippocampus is particularly susceptible to insults during the perinatal period. During the hippocampal growth spurt, which is predominantly postnatal in rodents, iron transport proteins and their messenger RNA stabilizing proteins are upregulated, suggesting an increased demand for iron import during this developmental period. Rat pups deprived of iron during the perinatal period show a 30–40% decrease in hippocampal metabolic activity during postnatal hippocampal development. We hypothesized that this reduced hippocampal neuronal metabolism impedes developmental processes such as neurite outgrowth. The goals of the current study were to investigate the effects of perinatal iron deficiency on apical dendritic segment growth in the postnatal day (P) 15 hippocampus and to determine if structural abnormalities persist into adulthood (P65) following iron treatment. Qualitative and quantitative immunohistochemical analyses of dendritic structure and growth using microtubule-associated protein-2 as an index showed that iron-deficient P15 pups have truncated apical dendritic morphology in CA1 and a persistence of an immature apical dendritic pattern at P65. These results demonstrate that perinatal iron deficiency disrupts developmental processes in the hippocampal subarea CA1 and that these changes persist despite iron repletion. These structural abnormalities may contribute to the learning and memory deficits that occur during and following early iron deficiency.

Late fetal and early postnatal iron deficiency (ID) is a common condition that causes learning and memory impairments in humans while they are iron deficient and following iron repletion. Rodent models of fetal ID demonstrate significant short- and long-term hippocampal structural and biochemical abnormalities that may predispose hippocampal area CA1 to abnormal electrophysiology. Rat pups made iron deficient during the fetal and early postnatal period were assessed for basal synaptic transmission, paired-pulse facilitation (PPF), and long-term potentiation (LTP) in CA1 at postnatal days (P)15 and P30 while iron deficient and at P65 following iron repletion. Our results showed no differences in basal synaptic transmission between iron sufficient and iron deficient pups at P15 or P30, but the ID group did fail to demonstrate the expected developmental increase in synaptic strength by P65 (P < 0.05). Similarly, PPF ratios from iron deficient slices also failed to demonstrate the characteristic developmental changes seen in the iron sufficient group (P < 0.001). Iron deficient slices retained a developmentally immature P15 pattern of LTP expression at P30 and after iron repletion, and LTP expression was lower (P < 0.05) in the iron deficient group at P65. Thus, ID in the fetal and early postnatal period delays or abolishes the developmental maturation of electrophysiological components of synaptic efficacy and plasticity, resulting in abnormalities beyond the period of deficiency. These findings provide a functional corroboration to previous structural and biochemical abnormalities found in the iron deficient rat hippocampus and provide a potential model for learning and memory deficits seen in humans exposed to fetal and early postnatal ID.

The evolution of the field of neuroscience has been propelled by the advent of novel technological capabilities, and the pace at which these capabilities are being developed has accelerated dramatically in the past decade. Capitalizing on this momentum, the United States launched the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative to develop and apply new tools and technologies for revolutionizing our understanding of the brain. In this article, we review the scientific vision for this initiative set forth by the National Institutes of Health and discuss its implications for the future of neuroscience research. Particular emphasis is given to its potential impact on the mapping and study of neural circuits, and how this knowledge will transform our understanding of the complexity of the human brain and its diverse array of behaviours, perceptions, thoughts and emotions.