Predictive waves in the autism-schizophrenia continuum : A novel biobehavioral model
Copyright © 2021 Elsevier Ltd. All rights reserved..
The brain is a predictive machine. Converging data suggests a diametric predictive strategy from autism spectrum disorders (ASD) to schizophrenic spectrum disorders (SSD). Whereas perceptual inference in ASD is rigidly shaped by incoming sensory information, the SSD population is prone to overestimate the precision of their priors' models. Growing evidence considers brain oscillations pivotal biomarkers to understand how top-down predictions integrate bottom-up input. Starting from the conceptualization of ASD and SSD as oscillopathies, we introduce an integrated perspective that ascribes the maladjustments of the predictive mechanism to dysregulation of neural synchronization. According to this proposal, disturbances in the oscillatory profile do not allow the appropriate trade-off between descending predictive signal, overweighted in SSD, and ascending prediction errors, overweighted in ASD. These opposing imbalances both result in an ill-adapted reaction to external challenges. This approach offers a neuro-computational model capable of linking predictive coding theories with electrophysiological findings, aiming to increase knowledge on the neuronal foundations of the two spectra features and stimulate hypothesis-driven rehabilitation/research perspectives.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2022 |
---|---|
Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:132 |
---|---|
Enthalten in: |
Neuroscience and biobehavioral reviews - 132(2022) vom: 01. Jan., Seite 1-22 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Tarasi, Luca [VerfasserIn] |
---|
Links: |
---|
Anmerkungen: |
Date Completed 01.03.2022 Date Revised 01.03.2022 published: Print-Electronic Citation Status MEDLINE |
---|
doi: |
10.1016/j.neubiorev.2021.11.006 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM333126645 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM333126645 | ||
003 | DE-627 | ||
005 | 20231225221013.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231225s2022 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.neubiorev.2021.11.006 |2 doi | |
028 | 5 | 2 | |a pubmed24n1110.xml |
035 | |a (DE-627)NLM333126645 | ||
035 | |a (NLM)34774901 | ||
035 | |a (PII)S0149-7634(21)00499-1 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Tarasi, Luca |e verfasserin |4 aut | |
245 | 1 | 0 | |a Predictive waves in the autism-schizophrenia continuum |b A novel biobehavioral model |
264 | 1 | |c 2022 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 01.03.2022 | ||
500 | |a Date Revised 01.03.2022 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Copyright © 2021 Elsevier Ltd. All rights reserved. | ||
520 | |a The brain is a predictive machine. Converging data suggests a diametric predictive strategy from autism spectrum disorders (ASD) to schizophrenic spectrum disorders (SSD). Whereas perceptual inference in ASD is rigidly shaped by incoming sensory information, the SSD population is prone to overestimate the precision of their priors' models. Growing evidence considers brain oscillations pivotal biomarkers to understand how top-down predictions integrate bottom-up input. Starting from the conceptualization of ASD and SSD as oscillopathies, we introduce an integrated perspective that ascribes the maladjustments of the predictive mechanism to dysregulation of neural synchronization. According to this proposal, disturbances in the oscillatory profile do not allow the appropriate trade-off between descending predictive signal, overweighted in SSD, and ascending prediction errors, overweighted in ASD. These opposing imbalances both result in an ill-adapted reaction to external challenges. This approach offers a neuro-computational model capable of linking predictive coding theories with electrophysiological findings, aiming to increase knowledge on the neuronal foundations of the two spectra features and stimulate hypothesis-driven rehabilitation/research perspectives | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Research Support, Non-U.S. Gov't | |
650 | 4 | |a Review | |
650 | 4 | |a Autism Spectrum Disorder (ASD) | |
650 | 4 | |a Autistic-schizophrenic continuum | |
650 | 4 | |a Brain connectivity | |
650 | 4 | |a Brain oscillations | |
650 | 4 | |a Decision-making | |
650 | 4 | |a Oscillopathies | |
650 | 4 | |a Predictive coding | |
650 | 4 | |a Schizophrenic Spectrum Disorder (SSD) | |
700 | 1 | |a Trajkovic, Jelena |e verfasserin |4 aut | |
700 | 1 | |a Diciotti, Stefano |e verfasserin |4 aut | |
700 | 1 | |a di Pellegrino, Giuseppe |e verfasserin |4 aut | |
700 | 1 | |a Ferri, Francesca |e verfasserin |4 aut | |
700 | 1 | |a Ursino, Mauro |e verfasserin |4 aut | |
700 | 1 | |a Romei, Vincenzo |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Neuroscience and biobehavioral reviews |d 1982 |g 132(2022) vom: 01. Jan., Seite 1-22 |w (DE-627)NLM000456977 |x 1873-7528 |7 nnns |
773 | 1 | 8 | |g volume:132 |g year:2022 |g day:01 |g month:01 |g pages:1-22 |
856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.neubiorev.2021.11.006 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 132 |j 2022 |b 01 |c 01 |h 1-22 |