Knowing when to stop: Aberrant precision and evidence accumulation in schizophrenia

Roberto Limongi , Bartosz Bohaterewicz , Magdalena Nowicka , Aleksandra Plewka , Karl J. Friston

Abstract

Predictive coding and active inference formulations of the dysconnection hypothesis suggest that subjects with schizophrenia (SZ) hold unduly precise prior beliefs to compensate for a failure of sensory attenuation. This implies that SZ subjects should both initiate responses prematurely during evidence-accumulation tasks and fail to inhibit their responses at long stop-signal delays. SZ and healthy control subjects were asked to report the timing of billiards-ball collisions and were occasionally required to withhold their responses. SZ subjects showed larger temporal estimation errors, which were associated with premature responses and decreased response inhibition. To account for these effects, we used hierarchical (Bayesian) drift-diffusion models (HDDM) and model selection procedures to adjudicate among four hypotheses. HDDM revealed that the precision of prior beliefs (i.e., starting point) rather than increased sensory precision (i.e., drift rate) drove premature responses and impaired response inhibition in patients with SZ. From the perspective of active inference, we suggest that premature predictions in SZ are responses that, heuristically, are traded off against accuracy to ensure action execution. On the basis of previous work, we suggest that the right insular cortex might mediate this trade-off.
Author Roberto Limongi
Roberto Limongi,,
-
, Bartosz Bohaterewicz (WP)
Bartosz Bohaterewicz,,
- Faculty of Psychology
, Magdalena Nowicka (Wydział Psychologii)
Magdalena Nowicka,,
- Wydział Psychologii
, Aleksandra Plewka
Aleksandra Plewka,,
-
, Karl J. Friston
Karl J. Friston,,
-
Journal seriesSchizophrenia Research, ISSN 0920-9964, (A 40 pkt)
Issue year2018
Vol197
Pages386-391
Keywords in EnglishTemporal prediction, Active inference, Response inhibition, Dysconnection hypothesis, Schizophrenia, Diffusion models
ASJC Classification2803 Biological Psychiatry; 2738 Psychiatry and Mental health
DOIDOI:10.1016/j.schres.2017.12.018
URL http://www.sciencedirect.com/science/article/pii/S0920996417307703
Languageen angielski
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PIIS0920996417307703.pdf 508.36 KB
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oświadczenie (1).pdf 123.64 KB
2018-04-25-14-12-40-595.pdf 18.85 KB
Score (nominal)40
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.113; WoS Impact Factor: 2017 = 3.958 (2) - 2017=4.08 (5)
Citation count*14 (2020-06-17)
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