Title |
Interoception in anxiety and depression
|
---|---|
Published in |
Brain Structure and Function, May 2010
|
DOI | 10.1007/s00429-010-0258-9 |
Pubmed ID | |
Authors |
Martin P. Paulus, Murray B. Stein |
Abstract |
We review the literature on interoception as it relates to depression and anxiety, with a focus on belief, and alliesthesia. The connection between increased but noisy afferent interoceptive input, self-referential and belief-based states, and top-down modulation of poorly predictive signals is integrated into a neuroanatomical and processing model for depression and anxiety. The advantage of this conceptualization is the ability to specifically examine the interface between basic interoception, self-referential belief-based states, and enhanced top-down modulation to attenuate poor predictability. We conclude that depression and anxiety are not simply interoceptive disorders but are altered interoceptive states as a consequence of noisily amplified self-referential interoceptive predictive belief states. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 20% |
Austria | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 2% |
United Kingdom | 6 | <1% |
Italy | 4 | <1% |
Canada | 3 | <1% |
Australia | 2 | <1% |
Germany | 2 | <1% |
Hong Kong | 1 | <1% |
Uruguay | 1 | <1% |
France | 1 | <1% |
Other | 8 | <1% |
Unknown | 919 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 188 | 20% |
Student > Master | 142 | 15% |
Researcher | 124 | 13% |
Student > Bachelor | 114 | 12% |
Student > Doctoral Student | 64 | 7% |
Other | 153 | 16% |
Unknown | 177 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 369 | 38% |
Neuroscience | 144 | 15% |
Medicine and Dentistry | 82 | 9% |
Agricultural and Biological Sciences | 60 | 6% |
Nursing and Health Professions | 14 | 1% |
Other | 80 | 8% |
Unknown | 213 | 22% |