Imaging of Thalamocortical Dysrhythmia in Neuropsychiatry

Schulman, J.; Cancro, Robert; Lowe, Sandlin; Lu, Feng; Walton, Kerry D.; Llinás, Rodolfó R.

doi:10.3389/fnhum.2011.00069

Cited by 158 publications

(152 citation statements)

References 75 publications

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“…In particular, our group of HiS individuals 1) locked the thalamocortical loop in the low-α band at a lower-frequency oscillation, as measured with individual BRF; 2) displayed an abnormally high level of neural synchronisation in the same low-frequency rhythm, indicated by increased relative EEG power; and, 3) the high-α band was found to be positively correlated with both the high-β and low-γ bands. Overall, these abnormalities in cortical oscillations resemble a mild version of TCD, which has been associated with the pathophysiology of various neuropsychiatric disorders including SZ and psychosis Jeanmonod et al, 2003;Llinas et al, 1999;Schulman et al, 2011).…”

Section: Discussionmentioning

confidence: 88%

“…This increase in slow rhythmic activity, whilst awake and at rest, leads to disturbances of sensation, cognition and motor performance Llinás et al, 2001;Llinas et al, 1999;Schulman et al, 2011;Schulman et al, 2001;Whitwell et al, 2011). One crucial organising feature of the cortex is its system of inhibitory GABAergic interneurons, which mediate reciprocal cortico-cortical networks (Llinas et al, 2005;Llinas et al, 1999).…”

Section: Discussionmentioning

confidence: 99%

“…This in turn exerts an increased neural synchronisation at the ~ 4 Hz frequency in thalamo-cortical modules which can be measured with EEG Jeanmonod, 2007, 2008) and MEG (Llinas et al, 1999). It is this increased neural synchronisation within the θ band, in conjunction with a widespread increase in correlation between θ and both high-β and γ frequency oscillations, that may underpin the positive symptoms in a various clinical disorders Llinas et al, 1999;Schulman et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…An electrophysiological conception considers the fundamental role of dysfunctional oscillations in patients (at rest or while performing a task) in the generation of cognitive deficits and symptomatology in a range of neurological and psychiatric disorders (Fuggetta and Noh, 2012;Llinas et al, 1999;Schulman et al, 2011;Uhlhaas and Singer, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Dysfunctional neural activities have been studied using single unit recording from the human thalamus (Jeanmonod et al, 1996;Jeanmonod et al, 2003;Jeanmonod, 2007, 2008;Sarnthein et al, 2003Sarnthein et al, , 2005, while abnormal oscillatory activities have been assessed with magnetoencephalographic (MEG) Jeanmonod et al, 2003;Llinas and Ribary, 2001;Llinás et al, 2001;Llinas et al, 2005;Llinas et al, 1999;Schulman et al, 2011;Schulman et al, 2001) and EEG Jeanmonod, 2007, 2008;Sarnthein et al, 2003Sarnthein et al, , 2005 recordings in patients suffering from SZ, chronic psychosis, Parkinson's disease, epilepsy, neuropathic pain, tinnitus, major depression, obsessivecompulsive, affective and impulse control disorders. These studies tested the hypothesis that the pathophysiological mechanism involved in the manifestation of symptoms in these disorders is the existence of abnormal, localized and protracted low-frequency spontaneous recurrent activation of the thalamocortical system.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative electroencephalography as a biomarker for proneness toward developing psychosis

Fuggetta

Bennett

Duke

et al. 2014

Schizophrenia Research

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The fully dimensional approach to the relationship between schizotypal personality traits and schizophrenia describes schizotypy as a continuum throughout the general population ranging from low schizotypy (LoS) and psychological health to high schizotypy (HiS) and psychosisproneness. However, no biological markers have yet been discovered that reliably quantify an individual's degree of schizotypy and/or psychosis. This study aimed to evaluate quantitative electroencephalographic (qEEG) measures of power spectra as potential biomarkers of the proneness towards the development of psychosis in schizotypal individuals. The resting-state oscillatory brain dynamics under eyes-closed condition from 16 LoS and 16 HiS individuals were analysed for qEEG measures of background rhythm frequency, relative power in δ, θ, low-α, high-α, low-β, high-β and low-γ frequency bands, and the high-temporal crosscorrelation of power spectra between low-and high-frequency bands observed by averaging signals from whole-head EEG electrodes. HiS individuals at rest locked the thalamocortical loop in the low-α band at a lower-frequency oscillation and displayed an abnormally high level of neural synchronisation. In addition, the high-α band was found to be positively correlated with both the high-β and low-γ bands unlike LoS individuals, indicating widespread thalamocortical resonance in HiS individuals. The increase of regional alpha oscillations in HiS individuals suggests abnormal high-level attention, whereas the pattern of correlation between frequency bands resembles the thalamocortical dysrhythma phenomenon which underlies the symptomatology of a variety of neuropsychiatric disorders including schizophrenia. These qEEG biomarkers may aid clinicians in identifying HiS individuals with a high-risk of developing psychosis.

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Section: Discussionmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Quantitative electroencephalography as a biomarker for proneness toward developing psychosis

Fuggetta

Bennett

Duke

et al. 2014

Schizophrenia Research

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Association Between Baseline Corticothalamic-Mediated Inhibitory Control and Smoking Relapse Vulnerability

et al. 2017

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IMPORTANCE Tobacco use disorder is associated with dysregulated neurocognitive function in the right inferior frontal gyrus (IFG)—one node in a corticothalamic inhibitory control (IC) network. OBJECTIVE To examine associations between IC neural circuitry structure and function and lapse/relapse vulnerability in 2 independent studies of adult smokers. DESIGN, SETTING, AND PARTICIPANTS In study 1, treatment-seeking smokers (n = 81) completed an IC task during functional magnetic resonance imaging (fMRI) before making a quit attempt and then were followed up for 10 weeks after their quit date. In study 2, a separate group of smokers (n = 26) performed the same IC task during fMRI, followed by completing a laboratory-based smoking relapse analog task. Study 1 was performed at Duke University Medical Center between 2008 and 2012; study 2 was conducted at the Medical University of South Carolina between 2013 and 2016. MAIN OUTCOMES AND MEASURES Associations between corticothalamic-mediated IC, gray-matter volume, and smoking lapse/relapse. RESULTS Of the 81 study participants in study 1 (cessation study), 45 were women (56%), with mean (SD) age, 38.4 (10.2) years. In study 1, smoking relapse was associated with less gray-matter volume (F1,74 = 28.32; familywise error P threshold = 0.03), greater IC task-related blood oxygenation level–dependent (BOLD) response in the right IFG (F1,78 = 14.87) and thalamus (F1,78 = 14.97) (P < .05), and weaker corticothalamic task-based functional connectivity (tbFC) (F1,77 = 5.87; P = .02). Of the 26 participants in study 2 (laboratory study), 15 were women (58%), with mean (SD) age, 34.9 (10.3). Similar to study 1, in study 2, greater IC-BOLD response in the right IFG (t23 = −2.49; β = −0.47; P = .02), and weaker corticothalamic tbFC (t22 = 5.62; β = 0.79; P < .001) were associated with smoking sooner during the smoking relapse-analog task. In both studies, corticothalamic tbFC mediated the association between IC performance and smoking outcomes. CONCLUSIONS AND RELEVANCE In these 2 studies, baseline differences in corticothalamic circuitry function were associated with mediated IC and smoking relapse vulnerability. These findings warrant further examination of interventions for augmenting corticothalamic neurotransmission and enhancing IC during the course of tobacco use disorder treatment.

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Peak alpha frequency differs between chronic back pain and chronic widespread pain

McLain,

Cavaleri,

Kutch

2024

European Journal of Pain

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BackgroundLow peak alpha frequency (PAF) is an electroencephalography (EEG) outcome associated reliably with high acute pain sensitivity. However, existing research suggests that the relationship between PAF and chronic pain is more variable. This variability could be attributable to chronic pain groups typically being examined as homogenous populations, without consideration being given to potential diagnosis‐specific differences. Indeed, while emerging work has compared individuals with chronic pain to healthy controls, no previous studies have examined differences in PAF between diagnoses or across chronic pain subtypes.MethodsTo address this gap, we reanalysed a dataset of resting state EEG previously used to demonstrate a lack of difference in PAF between individuals with chronic pain and healthy controls. In this new analysis, we separated patients by diagnosis before comparing PAF across three subgroups: chronic widespread pain (n = 30), chronic back pain (n = 38), and healthy controls (n = 87).ResultsWe replicate the original finding of no significant difference between chronic pain groups and controls, but also find that individuals with widespread pain had significantly higher global average PAF values than those of people with chronic back pain [p = 0.028, β = 0.25 Hz] after controlling for age, sex, and depression.ConclusionsThese novel findings reveal PAF values in individuals with chronic pain may be diagnosis‐specific and not uniformly shifted from the values of healthy controls. Future studies should account for diagnosis and be cautious with exploring homogenous ‘chronic pain’ classifications during investigations of PAF.SignificanceOur work suggests that, contrary to previous hypotheses, inter‐individual differences in PAF reflect diagnosis‐specific mechanisms rather than the general presence of chronic pain, and therefore may have important implications for future work regarding individually‐tailored pain management strategies.

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Imaging of Thalamocortical Dysrhythmia in Neuropsychiatry

Cited by 158 publications

References 75 publications

Quantitative electroencephalography as a biomarker for proneness toward developing psychosis

Quantitative electroencephalography as a biomarker for proneness toward developing psychosis

Association Between Baseline Corticothalamic-Mediated Inhibitory Control and Smoking Relapse Vulnerability

Peak alpha frequency differs between chronic back pain and chronic widespread pain

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