The dysconnection hypothesis (2016). Friston, K., Brown, H. R., Siemerkus, J., & Stephan, K. E. Schizophrenia Research, 176(2):83–94, October, 2016. ![The dysconnection hypothesis (2016) [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Twenty years have passed since the dysconnection hypothesis was first proposed (Friston and Frith, 1995; Weinberger, 1993). In that time, neuroscience has witnessed tremendous advances: we now live in a world of non-invasive neuroanatomy, computational neuroimaging and the Bayesian brain. The genomics era has come and gone. Connectomics and large-scale neuroinformatics initiatives are emerging everywhere. So where is the dysconnection hypothesis now? This article considers how the notion of schizophrenia as a dysconnection syndrome has developed – and how it has been enriched by recent advances in clinical neuroscience. In particular, we examine the dysconnection hypothesis in the context of (i) theoretical neurobiology and computational psychiatry; (ii) the empirical insights afforded by neuroimaging and associated connectomics – and (iii) how bottom-up (molecular biology and genetics) and top-down (systems biology) perspectives are converging on the mechanisms and nature of dysconnections in schizophrenia.
@article{friston_dysconnection_2016-1,
title = {The dysconnection hypothesis (2016)},
volume = {176},
issn = {0920-9964},
url = {https://www.sciencedirect.com/science/article/pii/S0920996416303310},
doi = {10.1016/j.schres.2016.07.014},
abstract = {Twenty years have passed since the dysconnection hypothesis was first proposed (Friston and Frith, 1995; Weinberger, 1993). In that time, neuroscience has witnessed tremendous advances: we now live in a world of non-invasive neuroanatomy, computational neuroimaging and the Bayesian brain. The genomics era has come and gone. Connectomics and large-scale neuroinformatics initiatives are emerging everywhere. So where is the dysconnection hypothesis now? This article considers how the notion of schizophrenia as a dysconnection syndrome has developed – and how it has been enriched by recent advances in clinical neuroscience. In particular, we examine the dysconnection hypothesis in the context of (i) theoretical neurobiology and computational psychiatry; (ii) the empirical insights afforded by neuroimaging and associated connectomics – and (iii) how bottom-up (molecular biology and genetics) and top-down (systems biology) perspectives are converging on the mechanisms and nature of dysconnections in schizophrenia.},
language = {en},
number = {2},
urldate = {2021-06-24},
journal = {Schizophrenia Research},
author = {Friston, Karl and Brown, Harriet R. and Siemerkus, Jakob and Stephan, Klaas E.},
month = oct,
year = {2016},
keywords = {Bayesian, Dysconnection, Neurogenetics, Neuromodulation, Predictive coding, Schizophrenia},
pages = {83--94},
}
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