Functional reintegration of prefrontal neural networks for enhancing recovery after brain injury

被引:34
作者
Chen, AJW
Abrams, GM
D'Esposito, M
机构
[1] Univ Calif Berkeley, Brain Imaging Ctr, Helen Wills Neurosci Inst, Berkeley, CA 94720 USA
[2] Univ Calif San Francisco, Div Geriatr, San Francisco, CA 94143 USA
[3] Univ Calif San Francisco, Dept Neurol, San Francisco, CA 94143 USA
[4] San Francisco VA Med Ctr, San Francisco, CA USA
关键词
brain injuries; craniocerebral trauma; frontal lobe; learning; magnetic resonance imaging; neuronal plasticity; prefrontal cortex; recovery of function; rehabilitation;
D O I
10.1097/00001199-200603000-00004
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Functions of the prefrontal cortex (PFC) are fundamental to learning and rehabilitation after brain injuries, but the PFC is particularly vulnerable to trauma. We propose approaches to cognitive training that are hypothesized to specifically enhance PFC function. We present a theoretical framework that generates hypotheses regarding the effects of training on the functional integration of processes across distributed networks of brain regions. Specific outcome measurements that may be used to test these hypotheses in clinical trials are proposed. This neural network-level approach may guide cognitive rehabilitation and facilitate development of adjunctive biologic treatments to enhance the effects of training.
引用
收藏
页码:107 / 118
页数:12
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