http://orcid.org/0000-0001-6686-7262
References
- Bijlenga, D., Tjon-Ka-Jie, J. Y. M., Schuijers, F., & Kooij, J. J. S. (2017). Atypical sensory profiles are core features of adult ADHD, irrespective or autistic symptoms. European Psychiatry, 43, 51–57.
- Bonnelle, V., Ham, T. E., Leech, R., Kinnunen, K. M., Mehta, M. A., Greenwood, R. J., & Sharp, D. J. (2012). Salience network integrity predicts default mode network function after traumatic brain injury. Proceedings of the National Academy of Sciences of the United States of America, 109(12), 4690–4695.
- Corbetta, M., Miezin, F. M., Dobmever, S., Shulman, G. L., & Petersen, S. E. (1990). Attentional modulation of neural processing of shape, color and velocity in humans. Science, 248(4962), 1556–1559.
- Elison, J. T., Paterson, S. J., Wolff, J. J., Reznick, J. S., Sasson, N. J., Gu, H., & Piven, J. (2013). White matter microstructure and atypical visual orienting in 7-month-olds at risk for autism. American Journal of Psychiatry, 170, 899–908.
- Friston, K. (2009). The free-energy principle: A rough guide to the brain? Trends in Cogntive Sciences, 13(7), 293–301.
- Green, S. A., Hernandez, L., Bookheimer, S. Y., & Dapretto, M. (2016). Salience network connectivity in autism is related to brain and behavioural markers of sensory overresponsivity. Journal of the American Academy of Child & Adolescent Psychiatry, 55(7), 618–626.
- Kok, P., Jehee, J. F., & de Lange, F. P. (2012). Less is more: Expectation sharpens representations in primary visual cortex. Neuron, 75(2), 265–270.
- Kok, P., Rahnev, D., Jehee, J. F. M., Lau, H. C., & de Lange, F. P. (2012). Attention reverses the effect of prediction in silencing sensory signals. Cerebral Cortex, 22, 2197–2206.
- Lundin, A., de Boussard, C., Edman, G., & Borg, J. (2006). Symptoms and disability until 3 months after mild TBI. Brain Injury, 20(8), 799–806.
- Menon, V. (2015). Salience network. Brain Mapping: an Encyclopedic Reference, 2, 597–611.
- Panagiotidi, M., Overton, P. G., & Stafford, T. (2018). The relationship between ADHD traits and sensory sensitivity in the general population. Comprehensive Psychiatry, 80, 179–185.
- Pellicano, E., & Burr, D. (2012). When the world becomes ‘too real’: A Bayesian explanation of autistic perception. Trends in Cognitive Sciences, 16(10), 504–510.
- Qian, X, Castellanos, F. X, Uddin, L. Q, Loo, B. R. Y, Liu, S, Koh, H. L, & Zhou, J. (2019). Large-scale brain functional network topology disruption underlie symptom heterogeneity in children with attention-deficit/hyperactivity disorder. neuroimage. Clinical, 21, 10160021–8.
- Rao, R. P. N. (2005). Bayesian inference and attentional modulation in the visual cortex. Cognitive Neuroscience and Neuropsychology, 16(16), 1843–1848.
- Reynolds, J. H., & Heeger, D. J. (2009). The normalization model of attention. Neuron, 61(2), 168–185.
- Summerfield, C., Trittschuh, E., Monti, J., Mesulam, M., & Egner, T. (2008). Neural repetition suppression reflects fulfilled perceptual expectations. Nature Neuroscience, 11(9), 1004–1006.
- van de Cruys, S., Evers, K., van der Hallen, R., van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J. (2014). Precise minds in uncertain worlds: Predictive coding in autism. Psychological Review, 121(4), 649–675.
- Zwaigenbaum, L., Bryson, S., Rogers, T., Roberts, W., Brian, J., & Szatmari, P. (2005). Behavioral manifestations of autism in the first year of life. International Journal of Developmental Neuroscience, 23, 143–152.