Default mode network links to visual hallucinations: A comparison between Parkinson's disease and multiple system atrophy

Franciotti, Raffaella; Pizzi, Stefano Delli; Perfetti, Bernardo; Tartaro, Armando; Thomas, Astrid; Weis, Luca; Biundo, Roberta; Antonini, Angelo; Onofrj, Marco

doi:10.1002/mds.26285

Cited by 66 publications

(96 citation statements)

References 74 publications

(173 reference statements)

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“…Finally, the interplay between ‘local’ and ‘global’ structural and functional changes might be of interest beyond cognitive function. Functional variation within the cingulate cortex and the large-scale networks might be related to the expression of specific clinical phenotypes, rather than disease-related alterations, such as the occurrence of hyperarousal, anxiety or hallucinations in neurodegenerative disorders (Franciotti et al, 2015). A similar approach could be used to test this hypothesis in Alzheimer’s disease and other neurodegenerative disorders.…”

Section: Discussionmentioning

confidence: 99%

Global Efficiency of Structural Networks Mediates Cognitive Control in Mild Cognitive Impairment

Berlot

Metzler‐Baddeley

Ikram

et al. 2016

Front. Aging Neurosci.

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Background: Cognitive control has been linked to both the microstructure of individual tracts and the structure of whole-brain networks, but their relative contributions in health and disease remain unclear.Objective: To determine the contribution of both localized white matter tract damage and disruption of global network architecture to cognitive control, in older age and Mild Cognitive Impairment (MCI).Materials and Methods: Twenty-five patients with MCI and 20 age, sex, and intelligence-matched healthy volunteers were investigated with 3 Tesla structural magnetic resonance imaging (MRI). Cognitive control and episodic memory were evaluated with established tests. Structural network graphs were constructed from diffusion MRI-based whole-brain tractography. Their global measures were calculated using graph theory. Regression models utilized both global network metrics and microstructure of specific connections, known to be critical for each domain, to predict cognitive scores.Results: Global efficiency and the mean clustering coefficient of networks were reduced in MCI. Cognitive control was associated with global network topology. Episodic memory, in contrast, correlated with individual temporal tracts only. Relationships between cognitive control and network topology were attenuated by addition of single tract measures to regression models, consistent with a partial mediation effect. The mediation effect was stronger in MCI than healthy volunteers, explaining 23-36% of the effect of cingulum microstructure on cognitive control performance. Network clustering was a significant mediator in the relationship between tract microstructure and cognitive control in both groups.Conclusion: The status of critical connections and large-scale network topology are both important for maintenance of cognitive control in MCI. Mediation via large-scale networks is more important in patients with MCI than healthy volunteers. This effect is domain-specific, and true for cognitive control but not for episodic memory. Interventions to improve cognitive control will need to address both dysfunction of local circuitry and global network architecture to be maximally effective.

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Section: Discussionmentioning

confidence: 99%

Global Efficiency of Structural Networks Mediates Cognitive Control in Mild Cognitive Impairment

Berlot

Metzler‐Baddeley

Ikram

et al. 2016

Front. Aging Neurosci.

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“…This functionally defined network sits at the nexus of dorsal and ventral attentional networks responsible for top-down direction of attention and orientation to salient events, respectively (Corbetta & Shulman, 2002; Fox et al, 2005). Across disorders with visual hallucinations increased instability, or elevated activity and connectivity, within the default network have been identified (Franciotti et al, 2015; Jardri, Thomas, Delmaire, Delion, & Pins, 2013; Shine et al, 2015a; Yao et al, 2014). More broadly this is in keeping with observations that an over-active/poorly supressed default network may underscore many positive and ruminative symptoms in neuropsychiatric disorders (Anticevic et al, 2012; Whitfield-Gabrieli & Ford, 2012).…”

Section: Visual Hallucinationsmentioning

confidence: 99%

Predictions penetrate perception: Converging insights from brain, behaviour and disorder

O’Callaghan

Kveraga

Shine

et al. 2017

Consciousness and Cognition

141

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It is argued that during ongoing visual perception, the brain is generating top-down predictions to facilitate, guide and constrain the processing of incoming sensory input. Here we demonstrate that these predictions are drawn from a diverse range of cognitive processes, in order to generate the richest and most informative prediction signals. This is consistent with a central role for cognitive penetrability in visual perception. We review behavioural and mechanistic evidence that indicate a wide spectrum of domains—including object recognition, contextual associations, cognitive biases and affective state—that can directly influence visual perception. We combine these insights from the healthy brain with novel observations from neuropsychiatric disorders involving visual hallucinations, which highlight the consequences of imbalance between top-down signals and incoming sensory information. Together, these lines of evidence converge to indicate that predictive penetration, be it cognitive, social or emotional, should be considered a fundamental framework that supports visual perception.

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“…Because accessory symptoms, such as cognitive disturbances including dementia or visual hallucinations can occur in some, but not all PD patients it is important to note which studies have carefully classified PD patients by the presence or absence of such symptoms, as their presence may be associated with additional RS abnormalities. Several investigations specifically looked for resting state alterations associated with symptoms such as specific cognitive disturbance 106 , dementia 107 , and visual hallucinations 108,109 . One interesting observation is that FC between the DMN and the central executive network appears to be disrupted in PD 104 , perhaps in association with the above-mentioned cognitive symptoms.…”

Section: Alzheimer’s Disease and Its Precursor Amnestic Mild Cognitimentioning

confidence: 99%

Applications of Resting State Functional MR Imaging to Neuropsychiatric Diseases

Pearlson

2017

Neuroimaging Clinics of North America

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Default mode network links to visual hallucinations: A comparison between Parkinson's disease and multiple system atrophy

Cited by 66 publications

References 74 publications

Global Efficiency of Structural Networks Mediates Cognitive Control in Mild Cognitive Impairment

Global Efficiency of Structural Networks Mediates Cognitive Control in Mild Cognitive Impairment

Predictions penetrate perception: Converging insights from brain, behaviour and disorder

Applications of Resting State Functional MR Imaging to Neuropsychiatric Diseases

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