Computational Modeling of Electroencephalography and Functional Magnetic Resonance Imaging Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia.


Journal

Biological psychiatry
ISSN: 1873-2402
Titre abrégé: Biol Psychiatry
Pays: United States
ID NLM: 0213264

Informations de publication

Date de publication:
15 01 2022
Historique:
received: 31 03 2021
revised: 29 07 2021
accepted: 29 07 2021
pubmed: 3 10 2021
medline: 29 1 2022
entrez: 2 10 2021
Statut: ppublish

Résumé

Diminished synaptic gain-the sensitivity of postsynaptic responses to neural inputs-may be a fundamental synaptic pathology in schizophrenia. Evidence for this is indirect, however. Furthermore, it is unclear whether pyramidal cells or interneurons (or both) are affected, or how these deficits relate to symptoms. People with schizophrenia diagnoses (PScz) (n = 108), their relatives (n = 57), and control subjects (n = 107) underwent 3 electroencephalography (EEG) paradigms-resting, mismatch negativity, and 40-Hz auditory steady-state response-and resting functional magnetic resonance imaging. Dynamic causal modeling was used to quantify synaptic connectivity in cortical microcircuits. Classic group differences in EEG features between PScz and control subjects were replicated, including increased theta and other spectral changes (resting EEG), reduced mismatch negativity, and reduced 40-Hz power. Across all 4 paradigms, characteristic PScz data features were all best explained by models with greater self-inhibition (decreased synaptic gain) in pyramidal cells. Furthermore, disinhibition in auditory areas predicted abnormal auditory perception (and positive symptoms) in PScz in 3 paradigms. First, characteristic EEG changes in PScz in 3 classic paradigms are all attributable to the same underlying parameter change: greater self-inhibition in pyramidal cells. Second, psychotic symptoms in PScz relate to disinhibition in neural circuits. These findings are more commensurate with the hypothesis that in PScz, a primary loss of synaptic gain on pyramidal cells is then compensated by interneuron downregulation (rather than the converse). They further suggest that psychotic symptoms relate to this secondary downregulation.

Sections du résumé

BACKGROUND
Diminished synaptic gain-the sensitivity of postsynaptic responses to neural inputs-may be a fundamental synaptic pathology in schizophrenia. Evidence for this is indirect, however. Furthermore, it is unclear whether pyramidal cells or interneurons (or both) are affected, or how these deficits relate to symptoms.
METHODS
People with schizophrenia diagnoses (PScz) (n = 108), their relatives (n = 57), and control subjects (n = 107) underwent 3 electroencephalography (EEG) paradigms-resting, mismatch negativity, and 40-Hz auditory steady-state response-and resting functional magnetic resonance imaging. Dynamic causal modeling was used to quantify synaptic connectivity in cortical microcircuits.
RESULTS
Classic group differences in EEG features between PScz and control subjects were replicated, including increased theta and other spectral changes (resting EEG), reduced mismatch negativity, and reduced 40-Hz power. Across all 4 paradigms, characteristic PScz data features were all best explained by models with greater self-inhibition (decreased synaptic gain) in pyramidal cells. Furthermore, disinhibition in auditory areas predicted abnormal auditory perception (and positive symptoms) in PScz in 3 paradigms.
CONCLUSIONS
First, characteristic EEG changes in PScz in 3 classic paradigms are all attributable to the same underlying parameter change: greater self-inhibition in pyramidal cells. Second, psychotic symptoms in PScz relate to disinhibition in neural circuits. These findings are more commensurate with the hypothesis that in PScz, a primary loss of synaptic gain on pyramidal cells is then compensated by interneuron downregulation (rather than the converse). They further suggest that psychotic symptoms relate to this secondary downregulation.

Identifiants

pubmed: 34598786
pii: S0006-3223(21)01499-2
doi: 10.1016/j.biopsych.2021.07.024
pmc: PMC8654393
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

202-215

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB015611
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIMH NIH HHS
ID : RF1 MH123163
Pays : United States
Organisme : Medical Research Council
ID : MR/S007806/1
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : R01 MH112746
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NIH HHS
ID : S10 OD023696
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Références

Hum Brain Mapp. 2016 Jan;37(1):351-65
pubmed: 26503033
Schizophr Res. 2004 Oct 1;70(2-3):293-302
pubmed: 15329305
Biol Psychiatry. 2015 Dec 1;78(11):754-62
pubmed: 25890643
JAMA Psychiatry. 2021 Jun 1;78(6):667-681
pubmed: 33881460
Schizophr Res. 2014 Feb;152(2-3):325-32
pubmed: 24418122
Ann N Y Acad Sci. 2015 May;1344:27-36
pubmed: 25809615
Am J Psychiatry. 2016 Apr 1;173(4):373-84
pubmed: 26651391
Lancet Psychiatry. 2016 Dec;3(12):1092-1093
pubmed: 27816569
Neuroimage. 2017 Jan 15;145(Pt B):180-199
pubmed: 27346545
Hum Brain Mapp. 2020 Feb 15;41(3):767-778
pubmed: 31633254
Schizophr Bull. 2015 Sep;41(5):1105-14
pubmed: 25987642
Neuroimage. 2019 Oct 15;200:281-291
pubmed: 31247301
Proc Natl Acad Sci U S A. 2004 Dec 7;101(49):17288-93
pubmed: 15546988
Nat Commun. 2020 Aug 25;11(1):4250
pubmed: 32843635
Neurobiol Dis. 2019 Nov;131:104208
pubmed: 29936230
Hum Brain Mapp. 2020 Dec 15;41(18):5151-5163
pubmed: 32870535
Biol Psychiatry. 2015 Jan 1;77(1):52-8
pubmed: 25152434
Clin Neurophysiol. 2013 Dec;124(12):2354-61
pubmed: 23830005
Clin Neurophysiol. 2009 Mar;120(3):453-63
pubmed: 19181570
Schizophr Bull. 2009 May;35(3):509-27
pubmed: 19155345
Cereb Cortex. 2014 Dec;24(12):3116-30
pubmed: 23825317
Neuropharmacology. 2013 Oct;73:1-9
pubmed: 23688921
Schizophr Res. 2017 Oct;188:118-124
pubmed: 28109667
Am J Psychiatry. 2016 Nov 1;173(11):1131-1139
pubmed: 27444795
J Neurophysiol. 2008 May;99(5):2656-71
pubmed: 18287555
Schizophr Bull. 2021 Jul 8;47(4):1039-1047
pubmed: 33404057
Pharmacol Ther. 2010 Dec;128(3):419-32
pubmed: 20705091
Hum Brain Mapp. 2017 Jun;38(6):3262-3276
pubmed: 28345275
Schizophr Res. 2008 Feb;99(1-3):225-37
pubmed: 18160260
Schizophr Res. 2014 Sep;158(1-3):204-12
pubmed: 24998031
J Psychiatry Neurosci. 2013 Jan;38(1):24-32
pubmed: 22894820
JAMA Psychiatry. 2015 Apr;72(4):316-24
pubmed: 25651194
Mol Psychiatry. 2009 Nov;14(11):1017-23
pubmed: 18317461
Neuroimage. 2017 Sep;158:70-78
pubmed: 28676297
Psychopharmacology (Berl). 1992;107(2-3):236-42
pubmed: 1352054
Schizophr Res. 2005 Jul 1;76(1):1-23
pubmed: 15927795
Front Hum Neurosci. 2019 Jan 09;12:521
pubmed: 30687041
Br J Pharmacol. 1999 Nov;128(5):1045-54
pubmed: 10556942
Elife. 2020 Oct 27;9:
pubmed: 33107431
Front Psychiatry. 2019 Nov 21;10:835
pubmed: 31824347
Neuroimage. 2016 Mar;128:413-431
pubmed: 26569570
Schizophr Bull. 2020 Feb 26;46(2):345-353
pubmed: 31219602
Biol Psychiatry. 2016 Jun 15;79(12):980-7
pubmed: 26444073
J Neurosci. 2015 Jan 7;35(1):267-86
pubmed: 25568120
Biol Psychiatry. 2014 Sep 15;76(6):456-65
pubmed: 24439302
Brain. 2018 Jun 1;141(6):1691-1702
pubmed: 29718139
Nat Rev Neurosci. 2005 Apr;6(4):312-24
pubmed: 15803162
Schizophr Bull. 2018 Feb 15;44(2):378-387
pubmed: 29036430
Neuroimage. 2017 Nov 1;161:19-31
pubmed: 28807873
Schizophr Bull. 2015 Jan;41(1):144-53
pubmed: 24939881
JAMA Psychiatry. 2016 Nov 1;73(11):1145-1153
pubmed: 27732692
Schizophr Bull Open. 2021 Feb 02;2(1):sgaa072
pubmed: 34746793
Elife. 2018 Sep 27;7:
pubmed: 30260771
Schizophr Res. 2012 Mar;135(1-3):23-7
pubmed: 22264684
Cereb Cortex. 2021 Feb 5;31(3):1837-1847
pubmed: 31216360
Neuroscience. 2020 Jan 1;424:172-181
pubmed: 31678343
Biol Psychiatry. 2017 May 15;81(10):874-885
pubmed: 28434616
BMC Neurosci. 2009 Jul 20;10:85
pubmed: 19619324

Auteurs

Rick A Adams (RA)

Centre for Medical Image Computing and Artificial Intelligence, University College London, London, United Kingdom; Institute of Cognitive Neuroscience, University College London, London, United Kingdom; Max Planck-UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut. Electronic address: rick.adams@ucl.ac.uk.

Dimitris Pinotsis (D)

Centre for Mathematical Neuroscience and Psychology and Department of Psychology, City University of London, London, United Kingdom; Picower Institute for Learning & Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts.

Konstantinos Tsirlis (K)

Centre for Medical Image Computing and Artificial Intelligence, University College London, London, United Kingdom.

Leonhardt Unruh (L)

Institute of Cognitive Neuroscience, University College London, London, United Kingdom.

Aashna Mahajan (A)

Centre for Medical Image Computing and Artificial Intelligence, University College London, London, United Kingdom.

Ana Montero Horas (AM)

Centre for Medical Image Computing and Artificial Intelligence, University College London, London, United Kingdom.

Laura Convertino (L)

Institute of Cognitive Neuroscience, University College London, London, United Kingdom.

Ann Summerfelt (A)

Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland.

Hemalatha Sampath (H)

Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland.

Xiaoming Michael Du (XM)

Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland.

Peter Kochunov (P)

Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland.

Jie Lisa Ji (JL)

Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.

Grega Repovs (G)

Department of Psychology, University of Ljubljana, Ljubljana, Slovenia.

John D Murray (JD)

Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.

Karl J Friston (KJ)

Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom.

L Elliot Hong (LE)

Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland.

Alan Anticevic (A)

Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH