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Using fMRI and Behavioural Measures to Investigate Rehabilitation in Post-Stroke Aphasic Deficits

机译:使用功能磁共振成像和行为测量来调查脑卒中后失语症患者的康复情况

摘要

In this thesis I investigated whether an intensive computerised, home-based therapy programme could improve phonological discrimination ability in 19 patients with chronic post-stroke aphasia. One skill specifically targeted by the treatment demonstrated an improvement due to the therapy. However, this improvement did not generalise to untreated items, and was only effective for participants without a lesion involving the frontal lobe, indicating a potentially important role for this region in determining outcome of aphasia therapy. ududComplementary functional imaging studies investigated activity in domain-general and domain-specific networks in both patients and healthy volunteers during listening and repeating simple sentences. One important consideration when comparing a patient group with a healthy population is the difference in task difficulty encountered by the two groups. Increased cognitive effort can be expected to increase activity in domain-general networks. I minimised the effect of this confound by manipulating task difficulty for the healthy volunteers to reduce their behavioural performance so that it was comparable to that of the patients. By this means I demonstrated that the activation patterns in domain-general regions were very similar in the two groups. Region-of-interest analysis demonstrated that activity within a domain-general network, the salience network, predicted residual language function in the patients with aphasia, even after accounting for lesion volume and their chronological age. ududI drew two broad conclusions from these studies. First, that computer-based rehabilitation can improve disordered phonological discrimination in chronic aphasia, but that lesion distribution may influence the response to this training. Second, that the ability to activate domain-general cognitive control regions influences outcome in aphasia. This allows me to propose that in future work, therapeutic strategies, pharmacological or behavioural, targeting domain-general brain systems, may benefit aphasic stroke rehabilitation.
机译:在这篇论文中,我研究了强化的计算机化家庭疗法是否可以改善19例慢性卒中后失语症患者的语音识别能力。该治疗专门针对的一项技能显示由于治疗而有所改善。但是,这种改善并没有推广到未经治疗的项目,仅对没有病变累及额叶的参与者有效,这表明该区域在确定失语症治疗结果方面可能具有重要作用。补充功能成像研究调查了患者和健康志愿者在聆听和重复简单句子时在一般领域和特定领域网络中的活动。将患者组与健康人群进行比较时,一个重要的考虑因素是两组患者在工作难度上的差异。预期增加的认知努力会增加领域通用网络中的活动。我通过控制健康志愿者的任务难度来降低其行为表现,从而使其与患者的表现相媲美,从而将这种混淆的影响降至最低。通过这种方式,我证明了两组的域一般区域中的激活模式非常相似。感兴趣区域分析表明,即使在考虑了病变量及其年代后,失语症患者的通用网络(即显着网络)中的活动仍可以预测失语症患者的残余语言功能。我从这些研究中得出了两个广泛的结论。首先,基于计算机的康复可以改善慢性失语症中的语音障碍,但病变分布可能会影响对此训练的反应。其次,激活领域一般性认知控制区的能力会影响失语症的预后。这使我建议,在将来的工作中,针对领域通用脑系统的治疗策略,药理或行为学可能会有益于失语性中风的康复。

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    Brownsett Sonia;

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