Natalie’s research focuses on understanding how cognitive processes such as learning and decision making are influenced by mood fluctuations.
More specifically, within the framework of the Collaborative Oxford Network for Bipolar Research to Improve Outcomes (ConBRIO), we are studying the cognitive neuroscience of bipolar disorder. We aim to measure changes in high-level regulatory cognitive functions associated with mood instability across different time scales. To this end, we are developing novel behavioural and multi-modal imaging (MRI, MEG) paradigms in combination with a longitudinal study design to detect fluctuations across time.
In the future, such measures may be prove useful to inform the clinical diagnosis and treatment of mood disorders.
Functional Changes in the Language Network in Response to Increased Amyloid β Deposition in Cognitively Intact Older Adults.
Adamczuk K. et al, (2016), Cereb Cortex, 26, 358 - 373
Amyloid imaging in cognitively normal older adults: comparison between (18)F-flutemetamol and (11)C-Pittsburgh compound B.
Adamczuk K. et al, (2016), Eur J Nucl Med Mol Imaging, 43, 142 - 151
The Good, the Bad, and the Irrelevant: Neural Mechanisms of Learning Real and Hypothetical Rewards and Effort.
Scholl J. et al, (2015), J Neurosci, 35, 11233 - 11251
Assessing brain-behaviour volatility in bipolar disorder
Nobre AC. et al, (2015), BIPOLAR DISORDERS, 17, 12 - 12
Reproducibility and robustness of graph measures of the associative-semantic network.
Wang Y. et al, (2014), PLoS One, 9