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Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization.

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TLDR
It is discovered that increased neural connectivity in the cerebello-thalamo-cortical circuitry predicts psychosis in those at high risk, and is present in people with schizophrenia.
Abstract
Understanding the fundamental alterations in brain functioning that lead to psychotic disorders remains a major challenge in clinical neuroscience. In particular, it is unknown whether any state-independent biomarkers can potentially predict the onset of psychosis and distinguish patients from healthy controls, regardless of paradigm. Here, using multi-paradigm fMRI data from the North American Prodrome Longitudinal Study consortium, we show that individuals at clinical high risk for psychosis display an intrinsic "trait-like" abnormality in brain architecture characterized as increased connectivity in the cerebello-thalamo-cortical circuitry, a pattern that is significantly more pronounced among converters compared with non-converters. This alteration is significantly correlated with disorganization symptoms and predictive of time to conversion to psychosis. Moreover, using an independent clinical sample, we demonstrate that this hyperconnectivity pattern is reliably detected and specifically present in patients with schizophrenia. These findings implicate cerebello-thalamo-cortical hyperconnectivity as a robust state-independent neural signature for psychosis prediction and characterization.

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Journal ArticleDOI

Connectivity profile of thalamic deep brain stimulation to effectively treat essential tremor.

TL;DR: A multi-modal connectomic deep brain stimulation sweet spot is proposed in the posterior subthalamic area, encroaching on the inferior borders of ventral intermediate nucleus and sensory thalamus that may serve as a reference to enhance clinical care, in the future.
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Language as a biomarker for psychosis: A natural language processing approach.

TL;DR: Key findings on language production disturbance in psychosis are reviewed and recent advances in the computational methods used to analyze language data are described, including methods for the automatic measurement of discourse coherence, syntactic complexity, poverty of content, referential coherence and metaphorical language.
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Is it time to put rest to rest

TL;DR: The so-called resting state, in which participants lie quietly with no particular inputs or outputs, represented a paradigm shift from conventional task-based studies in human neuroimaging as discussed by the authors.
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Causes and Consequences of Diagnostic Heterogeneity in Depression: Paths to Discovering Novel Biological Depression Subtypes.

TL;DR: The promise of using data-driven strategies to discover novel subtypes of depression based on functional neuroimaging measures is discussed and promising future directions for defining neurobiologically informed depression subtypes are identified for predicting treatment outcomes and informing clinical decision making.
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Compression of Cerebellar Functional Gradients in Schizophrenia.

TL;DR: The abnormalities in the distribution of sensorimotor-supramodal hierarchical processing topography in the cerebellum and cerebellar-cerebral circuits in schizophrenia are investigated using a novel gradient-based resting-state functional connectivity (FC) analysis.
References
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Diagnostic and Statistical Manual of Mental Disorders

TL;DR: An issue concerning the criteria for tic disorders is highlighted, and how this might affect classification of dyskinesias in psychotic spectrum disorders.
Journal Article

Diagnostic and Statistical Manual of Mental Disorders (DSM-5)

TL;DR: Diagnostic and statistical manual of mental disorders (DSM-5) was translated by psychiatrists and psychologists, mainly from the University psychiatric hospital Vrapce and published by the Naklada Slap publisher.
Journal ArticleDOI

Control of goal-directed and stimulus-driven attention in the brain

TL;DR: Evidence for partially segregated networks of brain areas that carry out different attentional functions is reviewed, finding that one system is involved in preparing and applying goal-directed selection for stimuli and responses, and the other is specialized for the detection of behaviourally relevant stimuli.
Journal ArticleDOI

The Brain's Default Network Anatomy, Function, and Relevance to Disease

TL;DR: Past observations are synthesized to provide strong evidence that the default network is a specific, anatomically defined brain system preferentially active when individuals are not focused on the external environment, and for understanding mental disorders including autism, schizophrenia, and Alzheimer's disease.
Journal ArticleDOI

Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke, +354 more
- 24 Jul 2014 - 
TL;DR: Associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses.
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