Neuroplasticity can be defined as the ability of the nervous system to respond to intrinsic or extrinsic stimuli by reorganizing its structure, function and connections. Major advances in the understanding of neuroplasticity have to date yielded few established interventions. To advance the translation of neuroplasticity research towards clinical applications, the National Institutes of Health Blueprint for Neuroscience Research sponsored a workshop in 2009. Basic and clinical researchers in disciplines from central nervous system injury/stroke, mental/addictive disorders, paediatric/developmental disorders and neurodegeneration/ageing identified cardinal examples of neuroplasticity, underlying mechanisms, therapeutic implications and common denominators. Promising therapies that may enhance training-induced cognitive and motor learning, such as brain stimulation and neuropharmacological interventions, were identified, along with questions of how best to use this body of information to reduce human disability. Improved understanding of adaptive mechanisms at every level, from molecules to synapses, to networks, to behaviour, can be gained from iterative collaborations between basic and clinical researchers. Lessons can be gleaned from studying fields related to plasticity, such as development, critical periods, learning and response to disease. Improved means of assessing neuroplasticity in humans, including biomarkers for predicting and monitoring treatment response, are needed. Neuroplasticity occurs with many variations, in many forms, and in many contexts. However, common themes in plasticity that emerge across diverse central nervous system conditions include experience dependence, time sensitivity and the importance of motivation and attention. Integration of information across disciplines should enhance opportunities for the translation of neuroplasticity and circuit retraining research into effective clinical therapies.
The classic neurologic model for reading, based on studies of patients with acquired alexia, hypothesizes functional linkages between the angular gyrus in the left hemisphere and visual association areas in the occipital and temporal lobes. The angular gyrus also is thought to have functional links with posterior language areas (e.g., Wernicke's area), because it is presumed to be involved in mapping visually presented inputs onto linguistic representations. Using positron emission tomography , we demonstrate in normal men that regional cerebral blood f low in the left angular gyrus shows strong within-task, across-subjects correlations (i.e., functional connectivity) with regional cerebral blood f low in extrastriate occipital and temporal lobe regions during single word reading. In contrast, the left angular gyrus is functionally disconnected from these regions in men with persistent developmental dyslexia, suggesting that the anatomical disconnection of the left angular gyrus from other brain regions that are part of the ''normal'' brain reading network in many cases of acquired alexia is mirrored by its functional disconnection in developmental dyslexia.
It is widely accepted that dyslexics have deficits in reading and phonological awareness, but there is increasing evidence that they also exhibit visual processing abnormalities that may be confined to particular portions of the visual system. In primate visual pathways, inputs from parvocellular or magnocellular layers of the lateral geniculate nucleus remain partly segregated in projections to extrastriate cortical areas specialized for processing colour and form versus motion. In studies of dyslexia, psychophysical and anatomical evidence indicate an anomaly in the magnocellular visual subsystem. To investigate the pathophysiology of dyslexia, we used functional magnetic resonance imaging (fMRI) to study visual motion processing in normal and dyslexic men. In all dyslexics, presentation of moving stimuli failed to produce the same task-related functional activation in area V5/MT (part of the magnocellular visual subsystem) observed in controls. In contrast, presentation of stationary patterns resulted in equivalent activations in V1/V2 and extrastriate cortex in both groups. Although previous studies have emphasized language deficits, our data reveal differences in the regional functional organization of the cortical visual system in dyslexia.
Glucose metabolism, both global and regional, was reduced in adults who had been hyperactive since childhood. The largest reductions were in the premotor cortex and the superior prefrontal cortex--areas earlier shown to be involved in the control of attention and motor activity.
Pronunciation (of irregular/inconsistent words and of pseudowords) and lexical decision-making tasks were used with 15O PET to examine the neural correlates of phonological and orthographic processing in 14 healthy right-handed men (aged 18-40 years). Relative to a visual-fixation control task, all four experimental tasks elicited a left-lateralized stream of activation involving the lingual and fusiform gyri, perirolandic cortex, thalamus and anterior cingulate. Both pronunciation tasks activated the left superior temporal gyrus, with significantly greater activation seen there during phonological (pseudoword) than during orthographic (real word) pronunciation. The left inferior frontal cortex was activated by both decision-making tasks; more intense and widespread activation was seen there during phonological, than during orthographic, decision making, with the activation during phonological decision-making extending into the left insula. Correlations of reference voxels in the left superior temporal gyrus and left inferior frontal region with the rest of the brain were highly similar for the phonological and orthographic versions of each task type. These results are consistent with connectionist models of reading, which hypothesize that both real words and pseudowords are processed within a common neural network.
The National Institutes of Health (NIH) Magnetic Resonance Imaging (MRI) Study of Normal Brain Development is a landmark study in which structural and metabolic brain development and behavior are followed longitudinally from birth to young adulthood in a population-based sample of healthy children. The neuropsychological assessment protocol for children aged 6 to 18 years is described and normative data are presented for participants in that age range (N = 385). For many measures, raw score performance improved steeply from 6 to 10 years, decelerating during adolescence. Sex differences were documented for Block Design (male advantage), CVLT, Pegboard and Coding (female advantage). Household income predicted IQ and achievement, as well as externalizing problems and social competence, but not the other cognitive or behavioral measures. Performance of this healthy sample was generally better than published norms. This linked imaging-clinical/behavioral database will be an invaluable public resource for researchers for many years to come.
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