Abnormal neural oscillations and synchrony in schizophrenia

By Peter J. Uhlhaas, Wolf Singer. Nature Reviews Neuroscience, 2010

2,114 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/9f4af812d01a3b04ab8308f7df037c03409ca5e8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Working Memory 2.0 (2018, neutral): “associated with psychiatric disease, like schizophrenia (Uhlhaas and Singer, 2010).”
Interneuron dysfunction in psychiatric disorders (2012, background): “An increasing body of evidence suggests that abnormal inhibitory function in the prefrontal cortex of individuals with schizophrenia might cause the observed cognitive disturbance”
Measuring functional connectivity using MEG: Methodology and comparison with fcMRI (2011, positive): “…regions to form networks is thought to be integral to the way in which the brain processes information (Schnitzler and Gross, 2005; Uhlhaas and Singer, 2010) and abnormal recruitment of brain areas is thought to be implicated in pathologies such as schizophrenia (Friston, 1999; Phillips and…”
Coherence a measure of the brain networks: past and present (2016, neutral): “[47] Provided an in-depth review of abnormal neural oscillations and synchrony in this patient group.”
A free energy principle for a particular physics (2019, background): “…(and beyond) is occupied with oscillations and their ontology (Breakspear et al., 2010; Burgess et al., 2007; Buzsaki, 1998; Buzsaki and Moser, 2013; Giraud and Poeppel, 2012; Jensen et al., 2014; Lisman, 2012; Lopes da Silva, 1991; Sejnowski and Paulsen, 2006; Uhlhaas and Singer, 2010).”
Moving magnetoencephalography towards real-world applications with a wearable system (2018, positive): “Although simple, this task has been applied widely, with beta modulation being used as a marker of brain plasticity18,19, psychosis20,21 and white matter degradation22.”
Investigating the electrophysiological basis of resting state networks using magnetoencephalography (2011, background): “The way in which separate areas synchronize to form networks is integral to information processing (1, 2).”
Therapeutic effects of non-invasive brain stimulation with direct currents (tDCS) in neuropsychiatric diseases (2014, neutral): “Abnormal brain activity, plasticity and functional connectivity have been identified as probable underlying causes in many psychiatric diseases (Knable et al., 2002; Spedding et al., 2003; Uhlhaas and Singer, 2010).”
Inferring Synaptic Excitation/Inhibition Balance from Field Potentials (2016, neutral): “…thereafter, is implicated in neurological and psychiatric disorders such as epilepsy (Symonds 1959; González-Ramírez et al. 2015), schizophrenia (Uhlhaas & Singer 2010), and autism/Rett Syndrome (Dani et al. 2005; Mariani et al. 2015; Rubenstein & Merzenich 2003), as well as impairments in…”
A new generation of magnetoencephalography: Room temperature measurements using optically-pumped magnetometers (2017, background): “Because of this, MEG is now having impact on our understanding of the healthy brain, and on a wide range of clinical research areas ranging from neurodevelopment (Ciesielski and Stephen, 2014) to severe psychoses (Robson et al., 2016; Uhlhaas and Singer, 2010).”
Synchronization from Second Order Network Connectivity Statistics (2011, background): “…an important role in memory formation (Axmacher et al., 2006) while pathological amounts of synchrony are thought to be indicative of schizophrenia (Uhlhaas and Singer, 2010), Parkinson’s disease (Bergman et al., 1998), Alzheimer’s disease (Kramer et al., 2007), and epilepsy (Netoff and Schiff,…”
Extracting spatial-temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition. (2014, background): “Neural dynamics are well known to be characterized by dynamic oscillations at many frequency bands, which are implicated in a variety of neural functions (Buzsáki and Draguhn, 2004; Fries, 2005; Raghavachari et al., 2001; Uhlhaas and Singer, 2010).”
Closed-loop deep brain stimulation is superior in ameliorating parkinsonism. (2011, neutral): “Some bear marked resemblance to the patterns seen in PD; namely, synchrony and oscillatory activity are seen in schizophrenia, a highly prevalent and extremely debilitating psychiatric disorder (Uhlhaas and Singer, 2010).”
Spectral fingerprints of large-scale neuronal interactions (2012, background): “Indeed, a rapidly growing body of evidence indicates that local oscillations and their large-scale coherence are altered in various diseases, including schizophrenia, Alzheimer's disease and autism spectrum disorders (see Ref”