An fMRI study of multimodal selective attention in
                        schizophrenia

Mayer, Andrew R.; Hanlon, Faith M.; Teshiba, Terri; Klimaj, Stefan D.; Ling, Josef M.; Dodd, Andrew B.; Calhoun, Vince D.; Bustillo, Juan; Toulouse, Trent

doi:10.1192/bjp.bp.114.155499

Cited by 24 publications

(16 citation statements)

References 39 publications

(74 reference statements)

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“…In Task 4, congruent or incongruent multisensory (auditory and visual) numeric stimuli were simultaneously presented at either low (0.33 Hz; 3 trials/block) or high (0.66 Hz; 6 trials/block) frequency rates in ten-second blocks (Mayer et al 2015 ). In each block, the stream of target numbers (one, two, or three) was preceded by a cue word, “HEAR” or “LOOK”.…”

Section: Methods and Resultsmentioning

confidence: 99%

Multimodal Neuroimaging in Schizophrenia: Description and Dissemination

et al. 2017

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In this paper we describe an open-access collection of multimodal neuroimaging data in schizophrenia for release to the community. Data were acquired from approximately 100 patients with schizophrenia and 100 age-matched controls during rest as well as several task activation paradigms targeting a hierarchy of cognitive constructs. Neuroimaging data include structural MRI, functional MRI, diffusion MRI, MR spectroscopic imaging, and magnetoencephalography. For three of the hypothesis-driven projects, task activation paradigms were acquired on subsets of ~200 volunteers which examined a range of sensory and cognitive processes (e.g., auditory sensory gating, auditory/visual multisensory integration, visual transverse patterning). Neuropsychological data were also acquired and genetic material via saliva samples were collected from most of the participants and have been typed for both genome-wide polymorphism data as well as genome-wide methylation data. Some results are also presented from the individual studies as well as from our data-driven multimodal analyses (e.g., multimodal examinations of network structure and network dynamics and multitask fMRI data analysis across projects). All data will be released through the Mind Research Network’s collaborative informatics and neuroimaging suite (COINS).Electronic supplementary materialThe online version of this article (doi:10.1007/s12021-017-9338-9) contains supplementary material, which is available to authorized users.

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Section: Methods and Resultsmentioning

confidence: 99%

Multimodal Neuroimaging in Schizophrenia: Description and Dissemination

et al. 2017

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“…Multisensory integration is also known to be disrupted in several developmental disorders including schizophrenia (De Jong et al, 2010; Postmes et al, 2014; Mayer et al, 2015), dyslexia (Facoetti et al, 2010; Krause, 2015), and autism (Ciesielski et al, 1995; Belmonte and Yurgelun-Todd, 2003; Foss-Feig et al, 2010; Kwakye et al, 2011; Woynaroski et al, 2013). In addition, many developmental disorders also have strong links to alterations in attentional networks, executive functioning, and higher-order processes (Cardinale et al, 2013; Kamradt et al, 2014; Sidlauskaite et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Visual Distractors Disrupt Audiovisual Integration Regardless of Stimulus Complexity

Gibney

Aligbe

Eggleston

et al. 2017

Front. Integr. Neurosci.

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The intricate relationship between multisensory integration and attention has been extensively researched in the multisensory field; however, the necessity of attention for the binding of multisensory stimuli remains contested. In the current study, we investigated whether diverting attention from well-known multisensory tasks would disrupt integration and whether the complexity of the stimulus and task modulated this interaction. A secondary objective of this study was to investigate individual differences in the interaction of attention and multisensory integration. Participants completed a simple audiovisual speeded detection task and McGurk task under various perceptual load conditions: no load (multisensory task while visual distractors present), low load (multisensory task while detecting the presence of a yellow letter in the visual distractors), and high load (multisensory task while detecting the presence of a number in the visual distractors). Consistent with prior studies, we found that increased perceptual load led to decreased reports of the McGurk illusion, thus confirming the necessity of attention for the integration of speech stimuli. Although increased perceptual load led to longer response times for all stimuli in the speeded detection task, participants responded faster on multisensory trials than unisensory trials. However, the increase in multisensory response times violated the race model for no and low perceptual load conditions only. Additionally, a geometric measure of Miller’s inequality showed a decrease in multisensory integration for the speeded detection task with increasing perceptual load. Surprisingly, we found diverging changes in multisensory integration with increasing load for participants who did not show integration for the no load condition: no changes in integration for the McGurk task with increasing load but increases in integration for the detection task. The results of this study indicate that attention plays a crucial role in multisensory integration for both highly complex and simple multisensory tasks and that attention may interact differently with multisensory processing in individuals who do not strongly integrate multisensory information.

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“…Deficits in attention in schizophrenia have been reported and replicated for many years across a variety of tasks (Cornblatt and Keilp, 1994; Hahn et al, 2012; Keefe and Harvey, 2012; Laurent et al, 1999; Mayer et al, 2015; Smith and Cornblatt, 2005; Suwa et al, 2004; Verleger et al, 2013). Both sustained attention (the ability to maintain focus on a task over time) and selective attention (the ability to focus on task-relevant stimuli among competing stimuli) are affected.…”

Section: Neuroimaging the Cognitive Effects Of Nicotine In Schizophreniamentioning

confidence: 99%

Targeting neuronal dysfunction in schizophrenia with nicotine: Evidence from neurophysiology to neuroimaging

Smucny

Tregellas

2017

J Psychopharmacol

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Patients with schizophrenia self-administer nicotine at rates higher than is self-administered for any other psychiatric illness. Although the reasons are unclear, one hypothesis suggests that nicotine is a form of ‘self-medication’ in order to restore normal levels of nicotinic signaling and target abnormalities in neuronal function associated with cognitive processes. This brief review discusses evidence from neurophysiological and neuroimaging studies in schizophrenia patients that nicotinic agonists may effectively target dysfunctional neuronal circuits in the illness. Evidence suggests that nicotine significantly modulates a number of these circuits, although relatively few studies have used modern neuroimaging techniques (e.g. functional magnetic resonance imaging (fMRI)) to examine the effects of nicotinic drugs on disease-related neurobiology. The neuronal effects of nicotine and other nicotinic agonists in schizophrenia remain a priority for psychiatry research.

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An fMRI study of multimodal selective attention in schizophrenia

Abstract: Results suggest a prominent role for dysfunction within auditory, sensorimotor and parietal areas relative to prefrontal CCN nodes during multisensory cognitive control.

Cited by 24 publications

References 39 publications

Multimodal Neuroimaging in Schizophrenia: Description and Dissemination

Multimodal Neuroimaging in Schizophrenia: Description and Dissemination

Visual Distractors Disrupt Audiovisual Integration Regardless of Stimulus Complexity

Targeting neuronal dysfunction in schizophrenia with nicotine: Evidence from neurophysiology to neuroimaging

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