Abstract：
:Structural and functional magnetic resonance imaging modalities have been critical in advancing our understanding of the neuroanatomical and pathophysiological changes that emerge during the premanifest and symptomatic stages of Huntington's disease (HD). However, the relationship between underlying neuropathology and the motor, cognitive and behavioural changes associated with the disorder still remain poorly understood. Less conventional technologies, such as transcranial magnetic stimulation (TMS) and electroencephalography (EEG), provide a unique opportunity to further investigate the causal relationships between targeted neural circuits and objective neurophysiological responses together with overt behaviours. In this review, we discuss previous successful applications of TMS in other neurological disorders and its prospective use in HD. We also address the added value of multimodal TMS techniques, such as TMS-EEG, in investigating the integrity of neural networks in non-motor regions in HD. We conclude that neurophysiological outcome measures are likely to contribute towards characterising further the trajectory of decline across functional domains in HD, enhance understanding of underlying neural mechanisms, and offer new avenues for elucidating sensitive endophenotypic biomarkers of disease progression.
journal_name
Neurosci Biobehav Revjournal_title
Neuroscience and biobehavioral reviewsauthors
Philpott AL,Fitzgerald PB,Cummins TD,Georgiou-Karistianis Ndoi
10.1016/j.neubiorev.2013.05.009subject
Has Abstractpub_date
2013-09-01 00:00:00pages
1420-33issue
8eissn
0149-7634issn
1873-7528pii
S0149-7634(13)00145-0journal_volume
37pub_type
杂志文章,评审abstract：:Artificial grammar learning is a popular paradigm to study syntactic ability in nonhuman animals. Subjects are first trained to recognize strings of tokens that are sequenced according to grammatical rules. Next, to test if recognition depends on grammaticality, subjects are presented with grammar-consistent and gramm...
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pub_type： 杂志文章,meta分析,评审
doi：10.1016/j.neubiorev.2017.10.012
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