A neural model of cortical map reorganization following a focal lesion

Neural models based on fairly simple assumptions have been able to account for topographic map formation in sensory cortex and the map reorganization that occurs following repetitive stimulation and deafferentation. The spontaneous reorganization that follows an acute focal cortical lesion, however, has not been modeled successfully. We have developed a computational model of cortex based on the hypothesis that cortical activation is distributed competitively. This model exhibited spontaneous reorganization following a focal cortical lesion and makes a testable prediction about the time course of that reorganization. We describe our model and the hypotheses upon which it is based, and examine some of the factors which influence post-lesion reorganization. We also demonstrate that the extent of post-lesion reorganization can be greatly improved through selective repetitive stimulation, suggesting a clinical rehabilitation technique that can be tried in an experimental setting for patients suffering sensory loss due to focal brain damage.

[1]  Á. Pascual-Leone,et al.  Plasticity of the sensorimotor cortex representation of the reading finger in Braille readers. , 1993, Brain : a journal of neurology.

[2]  James A. Reggia,et al.  A Competitive Distribution Theory of Neocortical Dynamics , 1992, Neural Computation.

[3]  J. Pearson,et al.  Plasticity in the organization of adult cerebral cortical maps: a computer simulation based on neuronal group selection , 1987, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[4]  Helge J. Ritter,et al.  A neural network model for the formation of topographic maps in the CNS: development of receptive fields , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[5]  E. Sklar,et al.  A simulation of somatosensory cortical map plasticity , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[6]  James A. Reggia,et al.  Cortical Map Reorganization as a Competitive Process , 1994, Neural Computation.

[7]  J. Kaas Plasticity of sensory and motor maps in adult mammals. , 1991, Annual review of neuroscience.

[8]  Michael Merzenich,et al.  Hebb-Type Dynamics is Sufficient to Account for the Inverse Magnification Rule in Cortical Somatotopy , 1990, Neural Computation.

[9]  Klaus Schulten,et al.  Topology-conserving maps for learning visuo-motor-coordination , 1989, Neural Networks.

[10]  Lorraine Williams Pedretti,et al.  Occupational Therapy: Practice Skills for Physical Dysfunction , 1985 .

[11]  M. Merzenich,et al.  Functional reorganization of primary somatosensory cortex in adult owl monkeys after behaviorally controlled tactile stimulation. , 1990, Journal of neurophysiology.

[12]  S B Udin,et al.  Formation of topographic maps. , 1988, Annual review of neuroscience.

[13]  Teuvo Kohonen Self-Organizing Feature Maps , 1988 .

[14]  M. Merzenich,et al.  Reorganization of neocortical representations after brain injury: a neurophysiological model of the bases of recovery from stroke. , 1987, Progress in brain research.

[15]  D. J. Felleman,et al.  Topographic reorganization of somatosensory cortical areas 3b and 1 in adult monkeys following restricted deafferentation , 1983, Neuroscience.

[16]  Jordan Grafman,et al.  Handbook of Neuropsychology , 1991 .

[17]  J.A. Reggia,et al.  Lateral cortical inhibition without lateral inhibitory connections , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.