Evidence map›Paper›PMID 29779671›Full record

ArticleBiological psychiatry2018

Resting-State Connectivity Biomarkers of Cognitive Performance and Social Function in Individuals With Schizophrenia Spectrum Disorder and Healthy Control Subjects.

Joseph D Viviano, Robert W Buchanan, Navona Calarco, James M Gold, George Foussias, Nikhil Bhagwat, Laura Stefanik, Colin Hawco, Pamela DeRosse, Miklos Argyelan and 8 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Biological psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 5 pooled it
4.6field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 5 syntheses or guidelines pooled it, 82 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 2 countries.

Joseph D VivianoKimel Family Translational Imaging-Genetics Research Lab, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario.
Robert W BuchananDepartment of Psychiatry, Maryland Psychiatric Research Center, Catonsville, Maryland.
Navona CalarcoKimel Family Translational Imaging-Genetics Research Lab, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario.
James M GoldDepartment of Psychiatry, Maryland Psychiatric Research Center, Catonsville, Maryland.
George FoussiasDepartment of Psychiatry, University of Toronto, Toronto, Ontario.
Nikhil BhagwatKimel Family Translational Imaging-Genetics Research Lab, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario; Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario; Computational Brain Anatomy Laboratory, Brain Imaging Center, Douglas Mental Health University Institute, Verdun, Quebec, Canada.
Laura StefanikKimel Family Translational Imaging-Genetics Research Lab, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario.
Colin HawcoKimel Family Translational Imaging-Genetics Research Lab, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario; Department of Psychiatry, University of Toronto, Toronto, Ontario.
Pamela DeRosseDepartment of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hofstra University, Hempstead, Manhasset; Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, New York; Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York.
Miklos ArgyelanDepartment of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hofstra University, Hempstead, Manhasset; Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, New York; Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York.
Jessica TurnerDepartment of Psychology, Georgia State University, Atlanta, Georgia.
Sofia ChavezDepartment of Psychiatry, University of Toronto, Toronto, Ontario; MRI Unit, Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario.
Peter KochunovDepartment of Psychiatry, Maryland Psychiatric Research Center, Catonsville, Maryland.
Peter KingsleyDepartment of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hofstra University, Hempstead, Manhasset; Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, New York; Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York.
Xiangzhi ZhouDepartment of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hofstra University, Hempstead, Manhasset; Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, New York; Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York.
Anil K MalhotraDepartment of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hofstra University, Hempstead, Manhasset; Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, New York; Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York.
Aristotle N VoineskosKimel Family Translational Imaging-Genetics Research Lab, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario; Department of Psychiatry, University of Toronto, Toronto, Ontario. Electronic address: aristotle.voineskos@camh.ca.
Social Processes Initiative in Neurobiology of the Schizophrenia(s) Group
Centre for Addiction and Mental Health · CANorthwell Health · USUniversity of Mary · USGeorgia State University · USUniversity of Toronto · CA

Funding

SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
2/3-Social Processes Initiative in Neurobiology of the Schizophrenia(s)R01MH102313 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI MALHOTRA, ANIL K · 2014 to 2018
$1.9M
3/3-Social Processes Initiative in Neurobiology of the Schizophrenia(s)R01MH102318 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI BUCHANAN, ROBERT W, CARPENTER, WILLIAM T. · 2014 to 2018
$1.7M
1/3 - Social Processes Initiative in Neurobiology of the Schizophrenia(s)R01MH102324 · NIMH · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI VOINESKOS, ARISTOTLE NICHOLAS · 2014 to 2018
$1.4M
NIBIB NIH HHS R01 EB015611NIMH NIH HHS R01 MH102313NIMH NIH HHS R01 MH102318NIMH NIH HHS R01 MH102324
6 · The paper itself

Abstract

backgroundDeficits in neurocognition and social cognition are drivers of reduced functioning in schizophrenia spectrum disorders, with potentially shared neurobiological underpinnings. Many studies have sought to identify brain-based biomarkers of these clinical variables using a priori dichotomies (e.g., good vs. poor cognition, deficit vs. nondeficit syndrome).

methodsWe evaluated a fully data-driven approach to do the same by building and validating a brain connectivity-based biomarker of social cognitive and neurocognitive performance in a sample using resting-state and task-based functional magnetic resonance imaging (n = 74 healthy control participants, n = 114 persons with schizophrenia spectrum disorder, 188 total). We used canonical correlation analysis followed by clustering to identify a functional connectivity signature of normal and poor social cognitive and neurocognitive performance.

resultsPersons with poor social cognitive and neurocognitive performance were differentiated from those with normal performance by greater resting-state connectivity in the mirror neuron and mentalizing systems. We validated our findings by showing that poor performers also scored lower on functional outcome measures not included in the original analysis and by demonstrating neuroanatomical differences between the normal and poorly performing groups. We used a support vector machine classifier to demonstrate that functional connectivity alone is enough to distinguish normal and poorly performing participants, and we replicated our findings in an independent sample (n = 75).

conclusionsA brief functional magnetic resonance imaging scan may ultimately be useful in future studies aimed at characterizing long-term illness trajectories and treatments that target specific brain circuitry in those with impaired cognition and function.

Indexed as

AdultAwarenessBiomarkersBrainBrain MappingCase-Control StudiesCognitionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysQuality of LifeSchizophreniaYoung AdultBiomarkersBiomarkerFunctional outcomesImagingMachine learningResting-state fMRISchizophrenia

Identifiers

PMID29779671
PMCPMC6177285
OpenAlexW2797401764

What OpenQuestion holds

Textmetadata
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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.