Literature DB >> 28467520

Transdiagnostic Associations Between Functional Brain Network Integrity and Cognition.

Julia M Sheffield1, Sridhar Kandala2, Carol A Tamminga3, Godfrey D Pearlson4, Matcheri S Keshavan5, John A Sweeney6, Brett A Clementz7, Dov B Lerman-Sinkoff8, S Kristian Hill9, Deanna M Barch10.   

Abstract

Importance: Cognitive impairment occurs across the psychosis spectrum and is associated with functional outcome. However, it is unknown whether these shared manifestations of cognitive dysfunction across diagnostic categories also reflect shared neurobiological mechanisms or whether the source of impairment differs. Objective: To examine whether the general cognitive deficit observed across psychotic disorders is similarly associated with functional integrity of 2 brain networks widely implicated in supporting many cognitive domains. Design, Setting, and Participants: A total of 201 healthy control participants and 375 patients with psychotic disorders from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium were studied from September 29, 2007, to May 31, 2011. The B-SNIP recruited healthy controls and stable outpatients from 6 sites: Baltimore, Maryland; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; Detroit, Michigan; and Hartford, Connecticut. All participants underwent cognitive testing and resting-state functional magnetic resonance imaging. Data analysis was performed from April 28, 2015, to February 21, 2017. Main Outcomes and Measures: The Brief Assessment of Cognition in Schizophrenia was used to measure cognitive ability. A principal axis factor analysis on the Brief Assessment of Cognition in Schizophrenia battery yielded a single factor (54% variance explained) that served as the measure of general cognitive ability. Functional network integrity measures included global and local efficiency of the whole brain, cingulo-opercular network (CON), frontoparietal network, and auditory network and exploratory analyses of all networks from the Power atlas. Group differences in network measures, associations between cognition and network measures, and mediation models were tested.
Results: The final sample for the current study included 201 healthy controls, 143 patients with schizophrenia, 103 patients with schizoaffective disorder, and 129 patients with psychotic bipolar disorder (mean [SD] age, 35.1 [12.0] years; 281 male [48.8%] and 295 female [51.2%]; 181 white [31.4%], 348 black [60.4%], and 47 other [8.2%]). Patients with schizophrenia (Cohen d = 0.36, P < .001) and psychotic bipolar disorder (Cohen d = 0.33, P = .002) had significantly reduced CON global efficiency compared with healthy controls. All patients with psychotic disorders had significantly reduced CON local efficiency, but the clinical groups did not differ from one another. The CON global efficiency was significantly associated with general cognitive ability across all groups (β = 0.099, P = .009) and significantly mediated the association between psychotic disorder status and general cognition (β = -0.037; 95% CI, -0.076 to -0.014). Subcortical network global efficiency was also significantly reduced in psychotic disorders (F3,587 = 4.01, P = .008) and positively predicted cognitive ability (β = 0.094, P = .009). Conclusions and Relevance: These findings provide evidence that reduced CON and subcortical network efficiency play a role in the general cognitive deficit observed across the psychosis spectrum. They provide new support for the dimensional hypothesis that a shared neurobiological mechanism underlies cognitive impairment in psychotic disorders.

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Year:  2017        PMID: 28467520      PMCID: PMC5539843          DOI: 10.1001/jamapsychiatry.2017.0669

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   21.596


  50 in total

1.  Bipolar and schizophrenia network for intermediate phenotypes: outcomes across the psychosis continuum.

Authors:  Carol A Tamminga; Godfrey Pearlson; Matcheri Keshavan; John Sweeney; Brett Clementz; Gunvant Thaker
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2.  The Positive and Negative Syndrome Scale (PANSS): rationale and standardisation.

Authors:  S R Kay; L A Opler; J P Lindenmayer
Journal:  Br J Psychiatry Suppl       Date:  1989-11

3.  Cognitive variability in psychotic disorders: a cross-diagnostic cluster analysis.

Authors:  K E Lewandowski; S H Sperry; B M Cohen; D Ongür
Journal:  Psychol Med       Date:  2014-04-07       Impact factor: 7.723

4.  Brain network connectivity in individuals with schizophrenia and their siblings.

Authors:  Grega Repovs; John G Csernansky; Deanna M Barch
Journal:  Biol Psychiatry       Date:  2010-12-30       Impact factor: 13.382

5.  Increases in Intrinsic Thalamocortical Connectivity and Overall Cognition Following Cognitive Remediation in Chronic Schizophrenia.

Authors:  Ian S Ramsay; Tasha M Nienow; Angus W MacDonald
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-05

6.  Cingulo-opercular network efficiency mediates the association between psychotic-like experiences and cognitive ability in the general population.

Authors:  Julia M Sheffield; Sridhar Kandala; Gregory C Burgess; Michael P Harms; Deanna M Barch
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2016-11

7.  A meta-analysis of cognitive deficits in euthymic patients with bipolar disorder.

Authors:  Lucy J Robinson; Jill M Thompson; Peter Gallagher; Utpal Goswami; Allan H Young; I Nicol Ferrier; P Brian Moore
Journal:  J Affect Disord       Date:  2006-03-06       Impact factor: 4.839

8.  Resting state functional connectivity of five neural networks in bipolar disorder and schizophrenia.

Authors:  Daniel Mamah; Deanna M Barch; Grega Repovš
Journal:  J Affect Disord       Date:  2013-03-13       Impact factor: 4.839

9.  Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder.

Authors:  Justin T Baker; Avram J Holmes; Grace A Masters; B T Thomas Yeo; Fenna Krienen; Randy L Buckner; Dost Öngür
Journal:  JAMA Psychiatry       Date:  2014-02       Impact factor: 21.596

10.  Clinical phenotypes of psychosis in the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP).

Authors:  Carol A Tamminga; Elena I Ivleva; Matcheri S Keshavan; Godfrey D Pearlson; Brett A Clementz; Bradley Witte; David W Morris; Jeffrey Bishop; Gunvant K Thaker; John A Sweeney
Journal:  Am J Psychiatry       Date:  2013-11       Impact factor: 18.112

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  34 in total

1.  Evidence That Environmental and Familial Risks for Psychosis Additively Impact a Multidimensional Subthreshold Psychosis Syndrome.

Authors:  Lotta-Katrin Pries; Sinan Guloksuz; Margreet Ten Have; Ron de Graaf; Saskia van Dorsselaer; Nicole Gunther; Christian Rauschenberg; Ulrich Reininghaus; Rajiv Radhakrishnan; Maarten Bak; Bart P F Rutten; Jim van Os
Journal:  Schizophr Bull       Date:  2018-06-06       Impact factor: 9.306

2.  Neuroimaging tests for clinical psychiatry: Are we there yet?

Authors:  Marco Leyton; Sidney H Kennedy
Journal:  J Psychiatry Neurosci       Date:  2017-06       Impact factor: 6.186

3.  Schizophrenia Exhibits Bi-directional Brain-Wide Alterations in Cortico-Striato-Cerebellar Circuits.

Authors:  Jie Lisa Ji; Caroline Diehl; Charles Schleifer; Carol A Tamminga; Matcheri S Keshavan; John A Sweeney; Brett A Clementz; S Kristian Hill; Godfrey Pearlson; Genevieve Yang; Gina Creatura; John H Krystal; Grega Repovs; John Murray; Anderson Winkler; Alan Anticevic
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

4.  Accelerated Aging of Functional Brain Networks Supporting Cognitive Function in Psychotic Disorders.

Authors:  Julia M Sheffield; Baxter P Rogers; Jennifer U Blackford; Stephan Heckers; Neil D Woodward
Journal:  Biol Psychiatry       Date:  2019-01-04       Impact factor: 13.382

5.  Connectomic Underpinnings of Working Memory Deficits in Schizophrenia: Evidence From a replication fMRI study.

Authors:  Jie Yang; Weidan Pu; Guowei Wu; Eric Chen; Edwin Lee; Zhening Liu; Lena Palaniyappan
Journal:  Schizophr Bull       Date:  2020-07-08       Impact factor: 9.306

6.  Levels of Cognitive Control: A Functional Magnetic Resonance Imaging-Based Test of an RDoC Domain Across Bipolar Disorder and Schizophrenia.

Authors:  Jason Smucny; Tyler A Lesh; Keith Newton; Tara A Niendam; J Daniel Ragland; Cameron S Carter
Journal:  Neuropsychopharmacology       Date:  2017-09-26       Impact factor: 7.853

7.  Resting-State Functional Connectivity and Psychotic-like Experiences in Childhood: Results From the Adolescent Brain Cognitive Development Study.

Authors:  Nicole R Karcher; Kathleen J O'Brien; Sridhar Kandala; Deanna M Barch
Journal:  Biol Psychiatry       Date:  2019-01-26       Impact factor: 13.382

Review 8.  [Brain imaging in schizophrenia : A review of current trends and developments].

Authors:  Igor Nenadić
Journal:  Nervenarzt       Date:  2020-01       Impact factor: 1.214

9.  Transdiagnostic Multimodal Neuroimaging in Psychosis: Structural, Resting-State, and Task Magnetic Resonance Imaging Correlates of Cognitive Control.

Authors:  Dov B Lerman-Sinkoff; Sridhar Kandala; Vince D Calhoun; Deanna M Barch; Daniel T Mamah
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-05-20

10.  Transdiagnostic psychiatry: a systematic review.

Authors:  Paolo Fusar-Poli; Marco Solmi; Natascia Brondino; Cathy Davies; Chungil Chae; Pierluigi Politi; Stefan Borgwardt; Stephen M Lawrie; Josef Parnas; Philip McGuire
Journal:  World Psychiatry       Date:  2019-06       Impact factor: 49.548

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