Evidence map›Paper›PMID 27421792›Full record

ArticleSchizophrenia bulletin2017

Modality-Dependent Impact of Hallucinations on Low-Frequency Fluctuations in Schizophrenia.

Stephanie M Hare, Judith M Ford, Aral Ahmadi, Eswar Damaraju, Aysenil Belger, Juan Bustillo, Hyo Jong Lee, Daniel H Mathalon, Bryon A Mueller, Adrian Preda and 5 more

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. [Frequency-Specific Alterations of Spontaneous Brain Activity in First-Episode Drug-Naïve Schizophrenia].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
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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

15 authors.

Stephanie M HareNeuroscience Institute, Georgia State University, Atlanta, GA, USA.
Judith M FordDepartment of Psychiatry, San Francisco VA Medical Center, University of California, San Francisco, San Francisco, CA, USA.
Aral AhmadiDepartment of Psychology, Georgia State University, Atlanta, GA, USA.
Eswar DamarajuMind Research Network, Albuquerque, NM, USA.
Aysenil BelgerDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Juan BustilloDepartment of Psychiatry, University of New Mexico, Albuquerque, NM, USA.
Hyo Jong LeeDepartment of Computer Science and Engineering, Chonbuk National University, Jeonju, South Korea.
Daniel H MathalonDepartment of Psychiatry, San Francisco VA Medical Center, University of California, San Francisco, San Francisco, CA, USA.
Bryon A MuellerDepartment of Psychiatry, University of Minnesota, Minneapolis, MN, USA.
Adrian PredaDepartment of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA.
Theo G M van ErpDepartment of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA.
Steven G PotkinDepartment of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA.
Vince D CalhounMind Research Network, Albuquerque, NM, USA.
Jessica A TurnerNeuroscience Institute, Georgia State University, Atlanta, GA, USA.
Functional Imaging Biomedical Informatics Research Network

Funding

FUNCTION BIRNU24RR021992 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI POTKIN, STEVEN G · 2006 to 2010
$25.0M
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, YUN · 2013 to 2019
$8.0M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
NCRR NIH HHS U24 RR021992NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NICHD NIH HHS U54 HD079124
6 · The paper itself

Abstract

Prior resting-state functional magnetic resonance imaging (fMRI) analyses have identified patterns of functional connectivity associated with hallucinations in schizophrenia (Sz). In this study, we performed an analysis of the mean amplitude of low-frequency fluctuations (ALFF) to compare resting state spontaneous low-frequency fluctuations in patients with Sz who report experiencing hallucinations impacting different sensory modalities. By exploring dynamics across 2 low-frequency passbands (slow-4 and slow-5), we assessed the impact of hallucination modality and frequency range on spatial ALFF variation. Drawing from a sample of Sz and healthy controls studied as part of the Functional Imaging Biomedical Informatics Research Network (FBIRN), we replicated prior findings showing that patients with Sz have decreased ALFF in the posterior brain in comparison to controls. Remarkably, we found that patients that endorsed visual hallucinations did not show this pattern of reduced ALFF in the back of the brain. These patients also had elevated ALFF in the left hippocampus in comparison to patients that endorsed auditory (but not visual) hallucinations. Moreover, left hippocampal ALFF across all the cases was related to reported hallucination severity in both the auditory and visual domains, and not overall positive symptoms. This supports the hypothesis that dynamic changes in the ALFF in the hippocampus underlie severity of hallucinations that impact different sensory modalities.

Indexed as

Severity of Illness IndexAdultAuditory PerceptionBrain WavesFemaleFunctional NeuroimagingHallucinationsHippocampusHumansMagnetic Resonance ImagingMaleMiddle AgedSchizophreniaVisual PerceptionALFFfMRIhallucinationshippocampusresting-state

Identifiers

PMID27421792
PMCPMC5605256

What OpenQuestion holds

Textmetadata
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.