Altered functional connectivity in lesional peduncular hallucinosis with REM sleep behavior disorder

Geddes, Maiya R.; Tie, Yanmei; Gabrieli, John D. E.; McGinnis, Scott; Golby, Alexandra J.; Whitfield-Gabrieli, Susan

doi:10.1016/j.cortex.2015.10.015

Cited by 36 publications

(19 citation statements)

References 77 publications

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“…Dysfunction of the PPN relates to visual hallucination (VH) [ 15 ]. A resting-state functional connectivity MRI (rs-fcMRI) study in RBD patient showed reduced connection between lateral geniculate nuclei LGN and visual association cortex [ 18 ]. PD patients with probable RBD showed smaller volumes than patients without RBD and than healthy controls in the pontomesencephalic tegmentum where cholinergic, GABAergic and glutamatergic neurons are located.…”

Section: Discussionmentioning

confidence: 99%

Clinical features of Parkinson’s disease with and without rapid eye movement sleep behavior disorder

Liu

Zhu

Zhang

et al. 2017

Transl Neurodegener

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BackgroundRapid eye movement sleep behavior disorder (RBD) and Parkinson’s disease (PD) are two distinct clinical diseases but they share some common pathological and anatomical characteristics. This study aims to confirm the clinical features of RBD in Chinese PD patients.MethodsOne hundred fifty PD patients were enrolled from the Parkinson`s disease and Movement Disorders Center in Department of Neurology, Shanghai General Hospital from January 2013 to August 2014. This study examined PD patients with or without RBD as determined by the REM Sleep Behavior Disorder Screening Questionnaire (RBDSQ), assessed motor subtype by Unified PD Rating Scale (UPDRS) III at “on” state, and compared the sub-scale scores representing tremor, rigidity, appendicular and axial. Investigators also assessed the Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Mini-Mental State Examination (MMSE), Clinical Dementia Rating (CDR), and Parkinson’s disease Sleep Scale (PDSS).ResultsOne hundred fourty one PD patients entered the final study. 30 (21.28%) PD patients had probable RBD (pRBD) diagnosed with a RBDSQ score of 6 or above. There were no significant differences for age, including age of PD onset and PD duration, gender, smoking status, alcohol or coffee use, presence of anosmia or freezing, UPDRS III, and H-Y stages between the pRBD+ and pRBD− groups. pRBD+ group had lower MMSE scores, higher PDSS scores, and pRBD+ PD patients had more prominent proportion in anxiety, depression, constipation, hallucination and a greater prevalence of orthostatic hypotension.ConclusionpRBD+ PD patients exhibited greater changes in non-motor symptoms. However, there was no increase in motor deficits.

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Section: Discussionmentioning

confidence: 99%

Clinical features of Parkinson’s disease with and without rapid eye movement sleep behavior disorder

Liu

Zhu

Zhang

et al. 2017

Transl Neurodegener

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“…This formulation has much in common with the Kalman Filter approach to predictive learning that can embody statistical reliabilities and uncertainty and employs noradrenaline and acetylcholine to do as such (Dayan et al, 2000). These neurotransmitters may be opponent (Yu and Dayan, 2005) and have recently been implicated in the genesis of hallucinations (Collerton et al, 2005; Geddes et al, 2016). Kersten et al (2004) further characterise a generative model as ‘strong’ if samples can be produced from it that consistently look like the data it learned from (Kersten et al, 2004).…”

Section: The Future: the Emergence Of Computational Psychiatrymentioning

confidence: 99%

Prediction error, ketamine and psychosis: An updated model

2016

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In 2007, we proposed an explanation of delusion formation as aberrant prediction error-driven associative learning. Further, we argued that the NMDA receptor antagonist ketamine provided a good model for this process. Subsequently, we validated the model in patients with psychosis, relating aberrant prediction error signals to delusion severity. During the ensuing period, we have developed these ideas, drawing on the simple principle that brains build a model of the world and refine it by minimising prediction errors, as well as using it to guide perceptual inferences. While previously we focused on the prediction error signal per se, an updated view takes into account its precision, as well as the precision of prior expectations. With this expanded perspective, we see several possible routes to psychotic symptoms – which may explain the heterogeneity of psychotic illness, as well as the fact that other drugs, with different pharmacological actions, can produce psychotomimetic effects. In this article, we review the basic principles of this model and highlight specific ways in which prediction errors can be perturbed, in particular considering the reliability and uncertainty of predictions. The expanded model explains hallucinations as perturbations of the uncertainty mediated balance between expectation and prediction error. Here, expectations dominate and create perceptions by suppressing or ignoring actual inputs. Negative symptoms may arise due to poor reliability of predictions in service of action. By mapping from biology to belief and perception, the account proffers new explanations of psychosis. However, challenges remain. We attempt to address some of these concerns and suggest future directions, incorporating other symptoms into the model, building towards better understanding of psychosis.

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“…Geddes and colleagues describe visual peduncular hallucinosis in a 66-year-old man following an ischemic stroke in the left pons, encompassing locus coeruleus (LC) (70). They found that functional connectivity between the LC and visual association cortex was reduced in the hallucinating patient.…”

Section: Introductionmentioning

confidence: 99%

Hallucinations as Top-Down Effects on Perception

Powers

Kelley

Corlett

2016

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

112

121

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The problem of whether and how information is integrated across hierarchical brain networks embodies a fundamental tension in contemporary cognitive neuroscience, and by extension, cognitive neuropsychiatry. Indeed, the penetrability of perceptual processes in a ‘top-down’ manner by higher-level cognition—a natural extension of hierarchical models of perception—may contradict a strictly modular view of mental organization. Furthermore, some in the cognitive science community have challenged cognitive penetration as an unlikely, if not impossible, process. We review the evidence for and against top-down influences in perception, informed by a predictive coding model of perception and drawing heavily upon the literature of computational neuroimaging. We extend these findings to propose a way in which these processes may be altered in mental illness. We propose that hallucinations - perceptions without stimulus - can be understood as top-down effects on perception, mediated by inappropriate perceptual priors.

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Altered functional connectivity in lesional peduncular hallucinosis with REM sleep behavior disorder

Cited by 36 publications

References 77 publications

Clinical features of Parkinson’s disease with and without rapid eye movement sleep behavior disorder

Clinical features of Parkinson’s disease with and without rapid eye movement sleep behavior disorder

Prediction error, ketamine and psychosis: An updated model

Hallucinations as Top-Down Effects on Perception

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