Neurocognitive profile of patients with X-linked dystonia-parkinsonism
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biological Psychiatry,Psychiatry and Mental health,Clinical Neurology,Neurology
Link
https://link.springer.com/content/pdf/10.1007/s00702-021-02317-z.pdf
Reference41 articles.
1. Abejero JE, Jamora RD, Vesagas TS et al (2019) Long-term outcomes of pallidal deep brain stimulation in X-linked dystonia parkinsonism (XDP): up to 84 months follow-up and review of literature. Parkinsonism Relat Disord 60:81–86. https://doi.org/10.1016/j.parkreldis.2018.09.022
2. Abrahams S, Goldstein LH, Simmons A et al (2003) Functional magnetic resonance imaging of verbal fluency and confrontation naming using compressed image acquisition to permit overt responses. Hum Brain Mapp 20:29–40. https://doi.org/10.1002/hbm.10126
3. Aliling NB, Rivera AS, Jamora RD (2019) Translation, cultural adaptation, and validation of the Hiligaynon Montreal Cognitive Assessment Tool (MoCA-Hil) among patients with X-linked dystonia parkinsonism (XDP). Front Neurol 10:1249. https://doi.org/10.3389/fneur.2019.01249
4. Aneichyk T, Hendriks WT, Yadav R et al (2018) Dissecting the causal mechanism of X-linked dystonia-parkinsonism by integrating genome and transcriptome assembly. Cell 172:897-909.e21. https://doi.org/10.1016/j.cell.2018.02.011
5. Arasaratnam CJ, Singh-Bains MK, Waldvogel HJ, Faull RL (2020) Neuroimaging and neuropathology studies of X-linked dystonia parkinsonism. Neurobiol Dis 148:105186. https://doi.org/10.1016/j.nbd.2020.105186
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1. Motor assessment of X-linked dystonia parkinsonism via machine-learning-based analysis of wearable sensor data;Scientific Reports;2024-06-09
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