New insights into the relationship between dopamine, beta oscillations and motor function

Jenkinson, Ned; Brown, Peter

doi:10.1016/j.tins.2011.09.003

Cited by 577 publications

(561 citation statements)

References 85 publications

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“…Thus, we speculate that the increase in STN oscillations during acute OCD symptoms might correspond to a compensatory mechanism that aims at overcoming obsessions. Furthermore, these results suggest first an extension of the role of alpha-beta (8e30 Hz) oscillations to its already "antikinetic" role hypothesized in previous studies performed in movement disorder patients (Jenkinson & Brown, 2011): abnormally alphaebeta oscillations may not only overstabilize the motor system, but they would also prevent cognitive flexibility (Engel & Fries, 2010). Another theoretical interpretation of the increased level of STN oscillations is that it could correspond to modulation of the bursting activity of STN neurons (Welter et al, 2011) and might reflect an abnormal excitation of the STN during OCD.…”

Section: Patient Laterality Dbs Contactsupporting

confidence: 76%

Changes of oscillatory activity in the subthalamic nucleus during obsessive-compulsive disorder symptoms: Two case reports

Bastin

Polosan

Piallat

et al. 2014

Cortex

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Deep brain stimulation a b s t r a c tDeep brain stimulation (DBS) of the subthalamic nucleus (STN) has positive and negative effects on mood and cognition, as shown in patients suffering from Parkinson's disease (PD) and severe obsessive-compulsive disorders (OCD). Such behavioural and clinical effects suggest that the STN has an important function in limbic circuitry, which still needs to be clarified from electrophysiological recordings. Here we report two exceptional cases of OCD patients in whom local field potentials (LFP) of the anterior STN were directly recorded during acute obsessive-compulsive symptoms. We found significant symptomrelated changes in different frequency bands, with no clear preferential oscillatory pattern. The overall modified STN activity during OCD symptoms suggests a mixture of both pathological and compensatory mechanisms that would reflect the maintenance of an over stable motor/cognitive/emotional set. Whether this activity propagates throughout the entire cognitive-limbic loops that are impaired in OCD is an interesting question for future research in larger series of patients.ª 2013 Elsevier Ltd. All rights reserved. Research in how the brain processes information is important for understanding obsessive-compulsive disorder (OCD).Beyond factors such as attention, learning, memory that are known to be involved in OCD psychopathology, emotional processing, namely affective and reward processing, depends on the involvement of specific neural networks within and beyond the cortico-striato-thalamo-cortical circuits in the context of specific cognitive-affective paradigms (Becker et al., 2013;Cannistraro et al., 2004;Fitzgerald et al., 2005; van den Heuvel et al., 2005;Milad et al., 2013).Recently it has been shown that severe refractory OCD symptoms can be improved by high frequency stimulation of the subthalamic nucleus (STN) (Chabardè s et al., 2012;Fontaine et al., 2004;Mallet et al., 2008). The STN is a key * Corresponding author. Grenoble Institut des Neurosciences, Chemin Fortuné Ferrini e Bâ t EJ Safra e CHU, 38700 La Tronche, France.E-mail address: julien.bastin@ujf-grenoble.fr (J. Bastin).Available online at www.sciencedirect.com ScienceDirectJournal homepage: www.elsevier.com/locate/cortex c o r t e x 6 0 ( 2 0 1 4 ) 1 4 5 e1 5 0 0010-9452/$ e see front matter ª

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Section: Patient Laterality Dbs Contactsupporting

confidence: 76%

Changes of oscillatory activity in the subthalamic nucleus during obsessive-compulsive disorder symptoms: Two case reports

Bastin

Polosan

Piallat

et al. 2014

Cortex

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“…Beta coherence is also increased in frontoparietal circuits in monkeys with demands for top-down control of attention (Buschman and Miller, 2007). Jenkinson and Brown (Jenkinson and Brown, 2011) suggest that beta oscillations in fronto-striatal circuits may specifically follow cues signaling that a prepared action must be suppressed, which characterizes the high-control task demand in the present study. These findings indicate roles for theta, alpha, and beta oscillations in PFC-mediated control processes, and the sensitivity of these task-related oscillations to modafinil suggests that catecholamine systems may modulate several subcomponent processes in cognitive control.…”

Section: Discussionsupporting

confidence: 53%

“…In humans, beta oscillations are implicated in the control of both movement and cognition by 'endogenous', top-down processes that are usually synonymous with cognitive control (reviewed in Engel and Fries, 2010), and likely mediated via fronto-striatal circuitry (Jenkinson and Brown, 2011). Beta coherence is also increased in frontoparietal circuits in monkeys with demands for top-down control of attention (Buschman and Miller, 2007).…”

Section: Discussionmentioning

confidence: 99%

Modafinil Effects on Middle-Frequency Oscillatory Power During Rule Selection in Schizophrenia

Minzenberg

Yoon

Cheng

et al. 2014

Neuropsychopharmacol

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Control-related cognitive processes such as rule selection are associated with cortical oscillations in the theta, alpha and, beta ranges, and modulated by catecholamine neurotransmission. Thus, a potential strategy for improving cognitive control deficits in schizophrenia would be to use pro-catecholamine pharmacological agents to augment these control-related oscillations. In a double-blind, placebo-controlled (within-subjects) study, we tested the effects of adjunctive single-dose modafinil 200 mg on rule-related 4-30 Hz oscillations in 23 stable schizophrenia patients, using EEG during cognitive control task performance. EEG data underwent time-frequency decomposition with Morlet wavelets to determine the power of 4-30 Hz oscillations. Modafinil (relative to placebo) enhanced oscillatory power associated with high-control rule selection in theta, alpha, and beta ranges, with modest effects during rule maintenance. Modafinil treatment in schizophrenia augments middle-frequency cortical oscillatory power associated with rule selection, and may subserve diverse subcomponent processes in proactive cognitive control.

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“…So as to we can classify the PD patients LFP before and after medication treatment, and accurately identify the brain functional state of PD patients. The brain functional state of PD patients identification model flow chart is shown in Figure 1: Figure 3,we can see that the power spectral density(PSD) amplitudes of LFP oscillations increase in theta bands (4)(5)(6)(7)(8),and high beta bands (20-30 Hz),and decrease in the range of low beta bangs(12-18 Hz).And only in the low beta bands Dopamine drugs can significantly suppress the STN oscillations of the band (P <0.05, t-test, Figure.3).We can also find that the balance of PSD between different frequency bands in LFP before and after the medication are also different. In this paper, the low frequency compoments of LFP signals were divided into four bands: theta (4-8 Hz), alpha (8-12 Hz), low beta (12-18 Hz) and high beta (20-30 Hz).Respectively calculated the power spectral ratio between each frequency band, used paired sample t-test analysis of STN LFP before and after medication to extract characteristics of different frequency bands energy ratio closely related to PD, for quantitying balance between different frequency bands.…”

Section: Classification Model Flow Of Brain Function Statementioning

confidence: 99%

“…The subthalamic nucleus (STN) is closely related to symptoms of PD patients [3].The local field potential (LFP) signals were recorded by implanted electrode into the patients STN which contains abundant information related to disease and symptoms [4,5].Therefore, this paper used the machine learning procedure to study the patients LFP before and after medication treatment, achieved the identification and judgment of brain function in PD patients.…”

Section: Introductionmentioning

confidence: 99%

Pattern Identification of Subthalamic Local Field Potentials in Parkinson’s Disease

et al. 2017

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Abstract. The local field potentials (LFP) in Parkinson's disease (PD), which contain abundant information related to disease and symptoms, are important for clinical treatment. The amplitudes of oscillations in LFP and the balance between them were found to be involved in brain functional state of PD patients. The LFP recorded from subthalamic nucleus before and after medication treatment were selected in this study. The power spectral ratio between frequencies and the percentage of energy corresponding to the wavelet packet nodes in the overall signal energy based on wavelet packet analysis related to symptoms were extracted as features. The brain states related to medication treatment in patients were classified using machine learning. The Naive Bayesian classifier and support vector machine (SVM) classifier were used to classify the states of off and on medication conditions. The results showed that the Naive Bayesian classifier was better than SVM classifier with higher accuracy. The specificity of Naive Bayesian classifier reached to 82.4%. The method proposed in this paper can accurately identify the brain functional state of PD patients.

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New insights into the relationship between dopamine, beta oscillations and motor function

Cited by 577 publications

References 85 publications

Changes of oscillatory activity in the subthalamic nucleus during obsessive-compulsive disorder symptoms: Two case reports

Changes of oscillatory activity in the subthalamic nucleus during obsessive-compulsive disorder symptoms: Two case reports

Modafinil Effects on Middle-Frequency Oscillatory Power During Rule Selection in Schizophrenia

Pattern Identification of Subthalamic Local Field Potentials in Parkinson’s Disease

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