Evidence map›Paper›PMID 37467677›Full record

ArticleSchizophrenia research2023

Learning without contingencies: A loss of synergy between memory and reward circuits in schizophrenia.

Sazid M Hasan, Munajj S Huq, Asadur Z Chowdury, Shahira Baajour, John Kopchick, A J Robison, Katherine N Thakkar, Luay Haddad, Alireza Amirsadri, Patricia Thomas and 4 more

Abstract read
In one paragraph

Article in Schizophrenia research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

14 authors.

Sazid M HasanOakland University William Beaumont School of Medicine, USA.
Munajj S HuqMichigan State University, College of Osteopathic Medicine, USA.
Asadur Z ChowduryDept. of Psychiatry & Behavioral Neurosciences, Wayne State University School of Medicine, USA.
Shahira BaajourDept. of Psychiatry & Behavioral Neurosciences, Wayne State University School of Medicine, USA.
John KopchickDept. of Psychiatry & Behavioral Neurosciences, Wayne State University School of Medicine, USA.
A J RobisonDept. of Physiology, Michigan State University, USA.
Katherine N ThakkarDept. of Psychology, Michigan State University, USA.
Luay HaddadDept. of Psychiatry & Behavioral Neurosciences, Wayne State University School of Medicine, USA.
Alireza AmirsadriDept. of Psychiatry & Behavioral Neurosciences, Wayne State University School of Medicine, USA.
Patricia ThomasDept. of Psychiatry & Behavioral Neurosciences, Wayne State University School of Medicine, USA.
Dalal KhatibDept. of Psychiatry & Behavioral Neurosciences, Wayne State University School of Medicine, USA.
Usha RajanDept. of Psychiatry & Behavioral Neurosciences, Wayne State University School of Medicine, USA.
Jeffrey A StanleyDept. of Psychiatry & Behavioral Neurosciences, Wayne State University School of Medicine, USA.
Vaibhav A DiwadkarDept. of Psychiatry & Behavioral Neurosciences, Wayne State University School of Medicine, USA. Electronic address: vdiwadka@med.wayne.edu.

Funding

Projection-specific gene expression in resilience to chronic stressR01MH111604 · NIMH · MICHIGAN STATE UNIVERSITY · PI Michelle Suzanne Mazei-Robison, ALFRED J ROBISON · 2016 to 2026
$4.9M
Advancing innovative brain imaging to detect altered glutamate modulation and network dynamics in schizophreniaR01MH111177 · NIMH · WAYNE STATE UNIVERSITY · PI DIWADKAR, VAIBHAV A., STANLEY, JEFFREY A · 2016 to 2020
$2.9M
NIMH NIH HHS R01 MH111177NIMH NIH HHS R01 MH111604
6 · The paper itself

Abstract

Motivational deficits in schizophrenia may interact with foundational cognitive processes including learning and memory to induce impaired cognitive proficiency. If such a loss of synergy exists, it is likely to be underpinned by a loss of synchrony between the brains learning and reward sub-networks. Moreover, this loss should be observed even during tasks devoid of explicit reward contingencies given that such tasks are better models of real world performance than those with artificial contingencies. Here we applied undirected functional connectivity (uFC) analyses to fMRI data acquired while participants engaged in an associative learning task without contingencies or feedback. uFC was estimated and inter-group differences (between schizophrenia patients and controls, n = 54 total, n = 28 patients) were assessed within and between reward (VTA and NAcc) and learning/memory (Basal Ganglia, DPFC, Hippocampus, Parahippocampus, Occipital Lobe) sub-networks. The task paradigm itself alternated between Encoding, Consolidation, and Retrieval conditions, and uFC differences were quantified for each of the conditions. Significantly reduced uFC dominated the connectivity profiles of patients across all conditions. More pertinent to our motivations, these reductions were observed within and across classes of sub-networks (reward-related and learning/memory related). We suggest that disrupted functional connectivity between reward and learning sub-networks may drive many of the performance deficits that characterize schizophrenia. Thus, cognitive deficits in schizophrenia may in fact be underpinned by a loss of synergy between reward-sensitivity and cognitive processes.

Indexed as

SchizophreniaBrainHippocampusHumansLearningMagnetic Resonance ImagingRewardfMRIFunctional connectivityReward and learningSchizophrenia

Identifiers

PMID37467677
PMCPMC10521382

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.