Antonia’s Twitter thread explaining her doctoral thesis will represent the University of the Balearic Islands in the national competition.
Antònua Siquier Perelló
Congratulations Anònia!
PhD student Antònia Siquier Perelló, supervised by Prof. Pilar Andrés, is the winner of the local phase of the #HiloTesis2023 competition, a competition in which participants must disseminate their doctoral thesis in a thread of, at most, 20 tweets, taking into account the limitations and possibilities offered by the social network Twitter.
The series of messages about her doctoral thesis has focused on a new approach to understanding Parkinson's disease through an innovative statistical method called the Item Specific Deficit Approach. This method quantifies the cognitive deficits of patients in an episodic memory test and analyzes their sensitivity.
Antònia Siquier Perelló's doctoral thesis is part of the research activity of our research group (Neurocog) and could be clinically relevant. The study implies that there is also neurodegeneration in the hippocampal structures of patients with Parkinson's disease. This method could also contribute to learning more about the cognitive relationship between neurodegenerative diseases such as Alzheimer's and Parkinson's.
Antonia’s doctoral publication so far:
Siquier, A., & Andrés, P. (in press). Facial emotion recognition in Parkinson’s disease: the role of executive and affective domains. Neuropsychology.
Siquier, A., & Andrés, P. (2022). Face name matching and memory complaints in Parkinson’s disease. Frontiers in Psychology, 13:1051488. doi: 0.3389/fpsyg.2022.1051488
Siquier, A., & Andrés, P. (2021). Episodic memory impairment in Parkinson’s disease: Disentangling the role of encoding and retrieval. Journal of the International Neuropsychological Society, 27(3), 261-269. doi: 10.1017/S1355617720000909
Siquier A, Andrés P. (2021, Jan 15). Cognitive and Behavioral Inhibition Deficits in Parkinson's Disease: The Hayling Test as a Reliable Marker. Frontiers in Aging Neuroscence. doi: 10.3389/fnagi.2020.621603. PMID: 33519424; PMCID: PMC7843521.