Pre-Registrations
Suddell, S. F., Donegan, K. R., Grogan, J. P., Buabang, E. K., Rafei, P., O’Connell, R., & Gillan, C. OSF Preregistration. Characterising the neural correlates of habit expression. [Embargoed until 2024, June 30]. Link: https://osf.io/fm8q7/
Rahmani, S., & Gillan, C. (2022, November 7). How does socio-economic status affect emotion dynamics: A network approach. https://doi.org/10.17605/OSF.IO/UR4TX Link: https://osf.io/ur4tx
Demnitz, N., Hulme, O. J., Siebner, H. R., Kjaer, M., Ebmeier, K. P., Boraxbekk, C., & Gillan, C. (2022, September 22). Characterising the covariance pattern between lifestyle factors and structural brain measures: a multivariable study of two ageing cohorts. https://doi.org/10.17605/OSF.IO/PFQ4J Link: https://osf.io/pfq4j
Open Datasets
Access to raw task and questionnaire data is restricted due to reasons related to the security of sensitive data owned by Trinity College Dublin. Researchers may access the data by completing and submitting a Data Request Form for Research Purposes. The data request form has a number of sections:
1. Application Form: information about you as a researcher, contact information for all additional users of the data, the Datasets which you are requesting access to and the intended use of the data.
2. Trinity End User Licence (“Agreement”): sets out the terms and conditions of use of the Data. Acceptance of the conditions establishes an agreement between Trinity and the End User.
3. Signatures: End User acknowledges that by signing their name, they confirm that they have read, understood, and agree to abide by all of the terms and conditions in the Trinity End User Licence. In the case where the Lead Researcher is a PhD, Masters or Undergraduate student the End User Licence must be countersigned by their supervisor. An authorised signatory of the Research Organisation must sign the Agreement.
The data access request form can be downloaded by the link below, please completing the form, and submit via email to Anna Hanlon (Lab Manager: akhanlon@tcd.ie) and Prof. Claire Gillan (PI: gillancl@tcd.ie): https://gillanlab.com/wp-content/uploads/2023/11/tcd-osf-data-request-form.docx
Open Access Code & Datasets
Fox, C.A., & Gillan, C. (2024, July 7). Mechanistic arbitration between candidate dimensions of psychopathology. https://osf.io/5ajp4/
Suddell, S., Zhang, L., & Gillan, C. (2024, June 26). Limited evidence for reduced learning rate adaptation in anxious-depression, before or after treatment. https://osf.io/2bevp/
Boldt, A., Gilbert, S., & Gillan, C. (2024, March 21). Compulsivity, confidence and reminder setting. https://osf.io/b9rxz/
Fox, C.A., & Gillan, C. (2023, November 15). Reliable, Rapid, and Remote Measurement of Metacognitive Bias. https://osf.io/uba2d/
Rosicka A.M., & Gillan, C. (2023, November 6). Modifiable dementia risk factors associated with objective and subjective cognition. https://osf.io/vq6fa/
Donegan, K.R., & Gillan, C. (2023, September 11).Using smartphones to optimise and scale-up the assessment of model-based planning. https://osf.io/arhng/
Fox, C.A., & Gillan, C. (2023, January 30). An observational treatment study of metacognition in anxious-depression. https://osf.io/89xzq/
Kelley, S., & Gillan, C. (2022, September 25). Elevated Emotion Network Connectivity Leaves People Vulnerable to Fluctuations in Depression. https://doi.org/10.17605/OSF.IO/WZ6RN Link: https://osf.io/wz6rn/
Seow, T. X. F., & Gillan, C. (2021, June 9). A dimensional study of error-related negativity (ERN) and self-reported psychiatric symptoms. Link: osf.io/vjda6
Seow, T. X. F., & Gillan, C. (2021, June 9). Transdiagnostic phenotyping reveals a range of metacognitive deficits associated with compulsivity. https://doi.org/10.17605/OSF.IO/2Z6TW Link: https://osf.io/2z6tw/
Seow, T. X. F., & Gillan, C. (2021, June 9). Model-based learning deficits in compulsivity are linked to faulty representations of task structure . https://doi.org/10.17605/OSF.IO/MX9KF Link: https://osf.io/mx9kf/
Gillan, C. (2021, June 9). Characterizing a psychiatric symptom dimension related to deficits in goal-directed control. Link: osf.io/usdgt
seanwkelley. (2021). seanwkelley/Twitter_Depression: Using linguistic features in social media posts to study the network dynamics of depression longitudinally (Version v1). Zenodo. https://doi.org/10.5281/zenodo.5745764 Link: https://zenodo.org/record/5745764#.Y9PnU-zP23J
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