Evidence map›Paper›PMID 28162778›Full record

ArticleCortex; a journal devoted to the study of the nervous system and behavior2017

Neural mechanisms of mood-induced modulation of reality monitoring in schizophrenia.

Karuna Subramaniam, Kamalini G Ranasinghe, Daniel Mathalon, Srikantan Nagarajan, Sophia Vinogradov

Open access · greenAbstract read
In one paragraph

Article in Cortex; a journal devoted to the study of the nervous system and behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Karuna SubramaniamDepartment of Psychiatry, University of California, San Francisco, CA, USA. Electronic address: karuna.subramaniam@ucsf.edu.
Kamalini G RanasingheDepartment of Neurology, University of California, San Francisco, CA, USA.
Daniel MathalonDepartment of Psychiatry, University of California, San Francisco, CA, USA.
Srikantan NagarajanDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Sophia VinogradovDepartment of Psychiatry, University of California, San Francisco, CA, USA.
University of California, San Francisco · US

Funding

Cognitive Remediation of Schizophrenia in a Community Mental Health SettingR01MH068725 · NIMH · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI VINOGRADOV, SOPHIA · 2004 to 2014
$4.9M
Optimizing Cognitive Remediation Outcomes in SchizophreniaR01MH082818 · NIMH · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI VINOGRADOV, SOPHIA · 2009 to 2013
$2.9M
Cortical spatiotemporal plasticity in humansR01DC004855 · NIDCD · UNIVERSITY OF UTAH · PI NAGARAJAN, SRIKANTAN S. · 2002 to 2011
$2.9M
Neuroimaging of Speech Motor ControlR01DC010145 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOUDE, JOHN FRANCIS · 2010 to 2014
$1.8M
Imaging sensorimotor adaptation and compensation of speechR01DC013979 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOUDE, JOHN FRANCIS, NAGARAJAN, SRIKANTAN S. · 2014 to 2018
$1.7M
Fusion of Electromagnetic Brain Imaging and fMRIR21NS076171 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NAGARAJAN, SRIKANTAN S. · 2011 to 2012
$425k
Spatiotemporal Patterns of Network Dysfunction in Alzheimer's DiseaseF32AG050434 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RANASINGHE, KAMALINI GAYATHREE · 2015 to 2018
$195k
NIA NIH HHS F32 AG050434NIDCD NIH HHS R01 DC004855NIDCD NIH HHS R01 DC010145NIDCD NIH HHS R01 DC013979NIMH NIH HHS R01 MH068725NIMH NIH HHS R01 MH082818NINDS NIH HHS R21 NS076171
6 · The paper itself

Abstract

Reality monitoring is the ability to accurately distinguish the source of self-generated information from externally-presented information. Although people with schizophrenia (SZ) show impaired reality monitoring, nothing is known about how mood state influences this higher-order cognitive process. Accordingly, we induced positive, neutral and negative mood states to test how different mood states modulate subsequent reality monitoring performance. Our findings indicate that mood affected reality monitoring performance in HC and SZ participants in both similar and dissociable ways. Only a positive mood facilitated task performance in Healthy Control (HC) subjects, whereas a negative mood facilitated task performance in SZ subjects. Yet, when both HC and SZ participants were in a positive mood, they recruited medial prefrontal cortex (mPFC) to bias better subsequent self-generated item identification, despite the fact that mPFC signal was reduced in SZ participants. Additionally, in SZ subjects, negative mood states also modulated left and right dorsal mPFC signal to bias better externally-presented item identification. Together our findings reveal that although the mPFC is hypoactive in SZ participants, mPFC signal plays a functional role in mood-cognition interactions during both positive and negative mood states to facilitate subsequent reality monitoring decision-making.

Indexed as

AdultAffectAgedBrain MappingCognition DisordersFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysNeuropsychological TestsPrefrontal CortexReality TestingSchizophreniafMRIMedial prefrontal cortexPositive mood inductionReality monitoringSource memory

Identifiers

PMID28162778
PMCPMC5749425
OpenAlexW2579238958

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.