Altered balance of functional brain networks in Schizophrenia

Woodward, Todd S.; Leong, Kawai; Sanford, Nicole; Tipper, Christine M.; Lavigne, Katie M.

doi:10.1016/j.pscychresns.2016.01.003

Cited by 22 publications

(18 citation statements)

References 45 publications

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“…Different cognitive processes can underlie the magnitude of the baselineto-peak versus post-peak-to-baseline trajectories of the task related HDR shape reflected by the predictor weights [Woodward et al, 2016]. Different cognitive processes can underlie the magnitude of the baselineto-peak versus post-peak-to-baseline trajectories of the task related HDR shape reflected by the predictor weights [Woodward et al, 2016].…”

Section: Interrelationship Between Brain Networkmentioning

confidence: 99%

“…Predictor weights also allow computation of relationships between functional brain networks. Different cognitive processes can underlie the magnitude of the baselineto-peak versus post-peak-to-baseline trajectories of the task related HDR shape reflected by the predictor weights [Woodward et al, 2016]. Therefore, for each component, using the peak averaged over all subjects as a reference point, we computed two measures for each functional brain network: one baseline-to-peak (including the peak but not the starting scans) and a second post-peak back to baseline.…”

Section: Interrelationship Between Brain Networkmentioning

confidence: 99%

“…Network-based studies of oddball tasks in schizophrenia [Calhoun et al, 2006;Kim et al, 2009;Sakoglu et al, 2010] have identified several networks on which patients show hypoactivity relative to controls during target detection. In some cases, these networks overlap with the ventral attention network; however, other networks have also been implicated, such as the default-mode network, which is known to be affected in schizophrenia [Garrity et al, 2007;Lavigne et al, 2015b;Metzak et al, 2012;Woodward et al, 2016], as well as sensory-specific networks, such as auditory networks during auditory oddball tasks. Kim et al [2009] suggested that hypoactivity in non-primary auditory cortex with relatively intact activation in primary auditory areas during oddball tasks reflects deficits in transitioning from primary to higher-order sensory processing in schizophrenia.…”

Section: Introductionmentioning

confidence: 99%

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Impairment in subcortical suppression in schizophrenia: Evidence from the fBIRN Oddball Task

Lavigne

Menon

Woodward

2016

Human Brain Mapping

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Schizophrenia patients show widespread impairments in brain activity during oddball tasks, which involve responding to infrequent target stimuli while refraining from responding during continuous non-target stimuli. In a network-based investigation comparing schizophrenia or schizoaffective patients to healthy controls, we sought to clarify which networks were specifically associated with target detection using a multivariate analysis technique that identifies task-specific functional brain networks. We acquired data from the publicly available function biomedical informatics research network collaboration, including 58 patients and 50 controls. Two task-based functional brain networks were identified: (1) a response modulation network including bilateral temporal pole, supramarginal gyrus, striatum, and thalamus, on which patients showed decreased activity relative to controls; and (2) an auditory-motor response activation network, on which patients showed a slower return to baseline than controls, but no difference in peak activation. For both groups, baseline to peak activation of the response modulation network correlated negatively with peak to baseline activity in the response activation network, suggesting a role in suppressing the motor response following targets. Patients' impaired activity in the response modulation network, and subsequent longer return to baseline in the response activation network, correspond with their later and less accurate behavioral performance, suggesting that impairment in suppression of the auditory-motor response activation network could underlie oddball task deficits in schizophrenia. In addition, the magnitude of the activity in the response modulation network was correlated with intensity of delusions of reference, supporting the notion that increased referential ideation is associated with hyperactivity within the subcortical striatal-limbic network. Hum Brain Mapp 37:4640-4653, 2016. © 2016 Wiley Periodicals, Inc.

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Section: Interrelationship Between Brain Networkmentioning

confidence: 99%

Section: Interrelationship Between Brain Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impairment in subcortical suppression in schizophrenia: Evidence from the fBIRN Oddball Task

Lavigne

Menon

Woodward

2016

Human Brain Mapping

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“…Briefly, fMRI-CPCA combines multivariate multiple regression analysis and principal component analysis into a unified framework to reveal multiple orthogonal sources of stimulus-associated fluctuations in brain activity (Lavigne & Woodward, 2018;Metzak et al, 2011;Woodward et al, 2016). Briefly, fMRI-CPCA combines multivariate multiple regression analysis and principal component analysis into a unified framework to reveal multiple orthogonal sources of stimulus-associated fluctuations in brain activity (Lavigne & Woodward, 2018;Metzak et al, 2011;Woodward et al, 2016).…”

Section: Image Analysismentioning

confidence: 99%

Hemodynamic responses are abnormal in isolated cervical dystonia

Berman

Groth

Shelton

et al. 2019

J of Neuroscience Research

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Neuroimaging studies using functional magnetic resonance imaging (fMRI), which measures brain activity by detecting the changes in blood oxygenation levels, are advancing our understanding of the pathophysiology of dystonia. Neurobiological disturbances in dystonia, however, may affect neurovascular coupling and impact the interpretability of fMRI studies. We evaluated here whether the hemodynamic response patterns during a behaviorally matched motor task are altered in isolated cervical dystonia (CD). Twenty-five CD patients and 25 healthy controls (HCs) underwent fMRI scanning during a paced finger tapping task (nondystonic task in patients).Imaging data were analyzed using a constrained principal component analysis-a statistical method that combines regression analysis and principal component analysis and enables the extraction of task-related functional networks and determination of the spatial and temporal hemodynamic response patterns associated with the task performance. Data from three patients and two controls were removed due to excessive movement. No significant differences in demographics or motor performance were observed. Three task-associated functional brain networks were identified.During task performance, reduced hemodynamic responses were seen in a sensorimotor network and in a network that included key nodes of the default mode, executive control and visual networks. During rest, reductions in hemodynamic responses were seen in the cognitive/visual network. Lower hemodynamic responses within the primary sensorimotor network in patients were correlated with the increased dystonia severity. Pathophysiological disturbances in isolated CD, such as alterations in inhibitory signaling and dopaminergic neurotransmission, may impact neurovascular coupling. Not accounting for hemodynamic response differences in fMRI studies of dystonia could lead to inaccurate results and interpretations. K E Y W O R D SBOLD, cervical dystonia, finger tapping, fMRI, hemodynamic response | 693 BERMAN Et Al.

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“…This task-combination methodology and patient-group comparison involved using group constrained principal component analysis for functional magnetic resonance imaging (group fMRI-CPCA; Hunter and Takane, 2002;Metzak et al, 2011;Takane and Shibayama, 1991;Woodward et al, 2015;Woodward, Leong, Sanford, Tipper, & Lavigne, 2016) on the combined dataset. This allows identification of the degree to which functional brain networks are involved in all task conditions, provides spatial and temporal information for each network, and allows statistically-based group comparisons of HDR response shapes.…”

mentioning

confidence: 99%

Hallucination‐ and speech‐specific hypercoupling in frontotemporal auditory and language networks in schizophrenia using combined task‐based fMRI data: An fBIRN study

Lavigne

Woodward

2017

Human Brain Mapping

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Hypercoupling of activity in speech-perception-specific brain networks has been proposed to play a role in the generation of auditory-verbal hallucinations (AVHs) in schizophrenia; however, it is unclear whether this hypercoupling extends to nonverbal auditory perception. We investigated this by comparing schizophrenia patients with and without AVHs, and healthy controls, on task-based functional magnetic resonance imaging (fMRI) data combining verbal speech perception (SP), inner verbal thought generation (VTG), and nonverbal auditory oddball detection (AO). Data from two previously published fMRI studies were simultaneously analyzed using group constrained principal component analysis for fMRI (group fMRI-CPCA), which allowed for comparison of task-related functional brain networks across groups and tasks while holding the brain networks under study constant, leading to determination of the degree to which networks are common to verbal and nonverbal perception conditions, and which show coordinated hyperactivity in hallucinations. Three functional brain networks emerged: (a) auditory-motor, (b) language processing, and (c) default-mode (DMN) networks. Combining the AO and sentence tasks allowed the auditory-motor and language networks to separately emerge, whereas they were aggregated when individual tasks were analyzed. AVH patients showed greater coordinated activity (deactivity for DMN regions) than non-AVH patients during SP in all networks, but this did not extend to VTG or AO. This suggests that the hypercoupling in AVH patients in speech-perception-related brain networks is specific to perceived speech, and does not extend to perceived nonspeech or inner verbal thought generation.

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Altered balance of functional brain networks in Schizophrenia

Cited by 22 publications

References 45 publications

Impairment in subcortical suppression in schizophrenia: Evidence from the fBIRN Oddball Task

Impairment in subcortical suppression in schizophrenia: Evidence from the fBIRN Oddball Task

Hemodynamic responses are abnormal in isolated cervical dystonia

Hallucination‐ and speech‐specific hypercoupling in frontotemporal auditory and language networks in schizophrenia using combined task‐based fMRI data: An fBIRN study

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