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Ip CT, de Bardeci M, Kronenberg G, Pinborg LH, Seifritz E, Brunovsky M, Olbrich S. EEG-vigilance regulation is associated with and predicts ketamine response in major depressive disorder. Transl Psychiatry 2024; 14:64. [PMID: 38272875 PMCID: PMC10810879 DOI: 10.1038/s41398-024-02761-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 01/08/2024] [Accepted: 01/10/2024] [Indexed: 01/27/2024] Open
Abstract
Ketamine offers promising new therapeutic options for difficult-to-treat depression. The efficacy of treatment response, including ketamine, has been intricately linked to EEG measures of vigilance. This research investigated the interplay between intravenous ketamine and alterations in brain arousal, quantified through EEG vigilance assessments in two distinct cohorts of depressed patients (original dataset: n = 24; testing dataset: n = 24). Clinical response was defined as a decrease from baseline of >33% on the Montgomery-Åsberg Depression Rating Scale (MADRS) 24 h after infusion. EEG recordings were obtained pre-, start-, end- and 24 h post- infusion, and the resting EEG was automatically scored using the Vigilance Algorithm Leipzig (VIGALL). Relative to placebo (sodium chloride 0.9%), ketamine increased the amount of low-vigilance stage B1 at end-infusion. This increase in B1 was positively related to serum concentrations of ketamine, but not to norketamine, and was independent of clinical response. In contrast, treatment responders showed a distinct EEG pattern characterized by a decrease in high-vigilance stage A1 and an increase in low-vigilance B2/3, regardless of whether placebo or ketamine had been given. Furthermore, pretreatment EEG differed between responders and non-responders with responders showing a higher percentage of stage A1 (53% vs. 21%). The logistic regression fitted on the percent of A1 stages was able to predict treatment outcomes in the testing dataset with an area under the ROC curve of 0.7. Ketamine affects EEG vigilance in a distinct pattern observed only in responders. Consequently, the percentage of pretreatment stage A1 shows significant potential as a predictive biomarker of treatment response.Clinical Trials Registration: https://www.clinicaltrialsregister.eu/ctr-search/trial/2013-000952-17/CZ Registration number: EudraCT Number: 2013-000952-17.
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Affiliation(s)
- Cheng-Teng Ip
- Center for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
- Neurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Mateo de Bardeci
- Hospital for Psychiatry, Psychotherapy and Psychosomatic; University Zurich, Zurich, Switzerland
| | - Golo Kronenberg
- Hospital for Psychiatry, Psychotherapy and Psychosomatic; University Zurich, Zurich, Switzerland
| | - Lars Hageman Pinborg
- Neurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark
- Epilepsy Clinic, University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Erich Seifritz
- Hospital for Psychiatry, Psychotherapy and Psychosomatic; University Zurich, Zurich, Switzerland
| | - Martin Brunovsky
- National Institute of Mental Health, Klecany, Czech Republic
- Charles University, Third Faculty of Medicine, Prague, Czech Republic
| | - Sebastian Olbrich
- Hospital for Psychiatry, Psychotherapy and Psychosomatic; University Zurich, Zurich, Switzerland.
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Autonomic Central Coupling during Daytime Sleep Differs between Older and Younger People. Neurobiol Learn Mem 2022; 193:107646. [PMID: 35671980 DOI: 10.1016/j.nlm.2022.107646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Revised: 04/12/2022] [Accepted: 05/28/2022] [Indexed: 11/24/2022]
Abstract
Decreased functioning in the elderly is mirrored by independent changes in central and autonomic nervous systems. Additionally, recent work suggests that the coupling of these systems may also serve an important role. In young adults, Autonomic and Central Events (ACEs), measured in the temporal coincidence of heart rate bursts (HRBs) and increased slow-wave-activity (SWA, 0.5-1Hz) and sigma activity (12-15Hz), followed by parasympathetic surge (RRHF) during non-rapid eye movement (NREM) sleep, predicted cognitive improvements. However, ACEs have not been examined in the elderly. Thus, the current study compared ACEs during wake and daytime sleep in older and younger adults and examined associations with working memory improvement before and after a nap. Compared to youngers, older adults showed lower amplitude of ACEs during NREM sleep, but not during wake. Furthermore, while younger adults demonstrated a parasympathetic surge after HRBs, older adults showed an earlier rise and longer maintenance of the RRHF. Taken together, our results demonstrate that autonomic-central coupling declines with age. Pathological aging implicates independent roles for decreased autonomic and central nervous system functioning, the current findings suggest that the coupling of these systems may also deserve attention.
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Van Puyvelde M, Mairesse O. Do C-tactile afferents go to sleep? A potential role for somatosensory stimulation in sleep regulation. Curr Opin Behav Sci 2022. [DOI: 10.1016/j.cobeha.2021.08.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Sciaraffa N, Liu J, Aricò P, Flumeri GD, Inguscio BMS, Borghini G, Babiloni F. Multivariate model for cooperation: bridging social physiological compliance and hyperscanning. Soc Cogn Affect Neurosci 2021; 16:193-209. [PMID: 32860692 PMCID: PMC7812636 DOI: 10.1093/scan/nsaa119] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/30/2020] [Accepted: 08/26/2020] [Indexed: 01/06/2023] Open
Abstract
The neurophysiological analysis of cooperation has evolved over the past 20 years, moving towards the research of common patterns in neurophysiological signals of people interacting. Social physiological compliance (SPC) and hyperscanning represent two frameworks for the joint analysis of autonomic and brain signals, respectively. Each of the two approaches allows to know about a single layer of cooperation according to the nature of these signals: SPC provides information mainly related to emotions, and hyperscanning that related to cognitive aspects. In this work, after the analysis of the state of the art of SPC and hyperscanning, we explored the possibility to unify the two approaches creating a complete neurophysiological model for cooperation considering both affective and cognitive mechanisms We synchronously recorded electrodermal activity, cardiac and brain signals of 14 cooperative dyads. Time series from these signals were extracted, and multivariate Granger causality was computed. The results showed that only when subjects in a dyad cooperate there is a statistically significant causality between the multivariate variables representing each subject. Moreover, the entity of this statistical relationship correlates with the dyad’s performance. Finally, given the novelty of this approach and its exploratory nature, we provided its strengths and limitations.
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Affiliation(s)
- Nicolina Sciaraffa
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.,BrainSigns srl, Rome, Italy
| | - Jieqiong Liu
- School of Psychology and Cognitive Science, Shanghai Changning-ECNU Mental Health Center, East China Normal University, Shanghai, China
| | - Pietro Aricò
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.,BrainSigns srl, Rome, Italy.,IRCCS Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, Rome, Italy
| | - Gianluca Di Flumeri
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.,BrainSigns srl, Rome, Italy.,IRCCS Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, Rome, Italy
| | - Bianca M S Inguscio
- BrainSigns srl, Rome, Italy.,Department of Sense Organs, Sapienza University of Rome, Rome, Italy
| | - Gianluca Borghini
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.,BrainSigns srl, Rome, Italy.,IRCCS Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, Rome, Italy
| | - Fabio Babiloni
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.,BrainSigns srl, Rome, Italy.,College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou Zhejiang Province, People's Republic of China
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5
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Strauß M, Petroff D, Huang J, Ulke C, Paucke M, Bogatsch H, Böhme P, Hoffmann K, Reif A, Kittel-Schneider S, Heuser I, Ahlers E, Gallinat J, Schöttle D, Fallgatter A, Ethofer T, Unterecker S, Hegerl U. The "VIP-ADHD trial": Does brain arousal have prognostic value for predicting response to psychostimulants in adult ADHD patients? Eur Neuropsychopharmacol 2021; 43:116-128. [PMID: 33388218 DOI: 10.1016/j.euroneuro.2020.12.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 12/10/2020] [Accepted: 12/15/2020] [Indexed: 11/16/2022]
Abstract
EEG studies have shown that adult ADHD patients have less stable brain arousal regulation than age and gender matched controls. Psychostimulants have brain arousal stabilising properties evident in EEG patterns. The aim of this study was to investigate whether the stability of brain arousal regulation has prognostic value in predicting response to methylphenidate therapy in adult ADHD patients. In an open-label, single-arm, multi-centre, confirmatory trial, 121 adult ADHD patients were recruited and 112 qualified for the full analysis set. All participants received an initial dose of 20 mg extended release methylphenidate at baseline. After a titration phase of up to 4 weeks, patients remained on a weight-based target dose of extended release methylphenidate for 4 weeks. Using the Vigilance Algorithm Leipzig (VIGALL 2.1), we assessed brain arousal regulation before the treatment with methylphenidate, based on a 15-min EEG at quiet rest recorded at baseline. Using automatic stage-classification of 1 s segments, we computed the mean EEG-vigilance (indexing arousal level) and an arousal stability score (indexing arousal regulation). The primary endpoint was the association between successful therapy, defined by a 30% reduction in CAARS, and stable/unstable brain arousal. 52 patients (46%) showed an unstable brain arousal regulation of which 23% had therapy success. In the stable group, 35% had therapy success, implying an absolute difference of 12 percentage points (95% CI -5 to 29, p = 0.17) in the direction opposite to the hypothesized one. There were no new findings regarding the tolerability and safety of extended release methylphenidate therapy.
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Affiliation(s)
- Maria Strauß
- Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany.
| | - David Petroff
- Clinical Trial Centre Leipzig, Faculty of Medicine, University of Leipzig, Germany
| | - Jue Huang
- Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
| | - Christine Ulke
- Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
| | - Madlen Paucke
- Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
| | - Holger Bogatsch
- Clinical Trial Centre Leipzig, Faculty of Medicine, University of Leipzig, Germany
| | - Pierre Böhme
- Department of Psychiatry and Psychotherapy, University Hospital of Bochum, Germany
| | - Knut Hoffmann
- Department of Psychiatry and Psychotherapy, University Hospital of Bochum, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychotherapy and Psychosomatic, University Hospital of Frankfurt
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychotherapy and Psychosomatic, University Hospital of Frankfurt; Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital of Würzburg, Germany
| | - Isabella Heuser
- Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, Germany
| | - Eike Ahlers
- Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, Germany
| | - Juergen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Germany
| | - Daniel Schöttle
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Germany
| | - Andreas Fallgatter
- Department of Psychiatry and Psychotherapy, LEAD Graduate School and Research Network, University Hospital of Tübingen, Tübingen, Germany
| | - Thomas Ethofer
- Department of Psychiatry and Psychotherapy, LEAD Graduate School and Research Network, University Hospital of Tübingen, Tübingen, Germany; Department of Biomedical Magnetic Resonance, University Hospital of Tübingen, Germany
| | - Stefan Unterecker
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital of Würzburg, Germany
| | - Ulrich Hegerl
- Department of Psychiatry, Psychotherapy and Psychosomatic, University Hospital of Frankfurt
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Surova G, Ulke C, Schmidt FM, Hensch T, Sander C, Hegerl U. Fatigue and brain arousal in patients with major depressive disorder. Eur Arch Psychiatry Clin Neurosci 2021; 271:527-536. [PMID: 33275166 PMCID: PMC7981331 DOI: 10.1007/s00406-020-01216-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 11/07/2020] [Indexed: 12/14/2022]
Abstract
Fatigue is considered a key symptom of major depressive disorder (MDD), yet the term lacks specificity. It can denote a state of increased sleepiness and lack of drive (i.e., downregulated arousal) as well as a state of high inner tension and inhibition of drive with long sleep onset latencies (i.e., upregulated arousal), the latter typically found in depression. It has been proposed to differentiate fatigue along the dimension of brain arousal. We investigated whether such stratification within a group of MDD patients would reveal a subgroup with distinct clinical features. Using an automatic classification of EEG vigilance stages, an arousal stability score was calculated for 15-min resting EEGs of 102 MDD patients with fatigue. 23.5% of the patients showed signs of hypoarousal with EEG patterns indicating drowsiness or sleep; this hypoaroused subgroup was compared with remaining patients (non-hypoaroused subgroup) concerning self-rated measures of depressive symptoms, sleepiness, and sleep. The hypoaroused subgroup scored higher on the Beck Depression Inventory items "loss of energy" (Z = - 2.13, p = 0.033; ɳ2 = 0.044, 90% CI 0.003-0.128) and "concentration difficulty" (Z = - 2.40, p = 0.017; ɳ2 = 0.056, 90% CI 0.009-0.139), and reported higher trait and state sleepiness (p < 0.05) as compared to the non-hypoaroused group. The non-hypoaroused subgroup, in contrast, reported more frequently the presence of suicidal ideation (Chi2 = 3.81, p = 0.051; ɳ2 = 0.037, 90% CI 0.0008-0.126). In this study, we found some evidence that stratifying fatigued MDD patients by arousal may lead to subgroups that are pathophysiologically and clinically more homogeneous. Brain arousal may be a worth while target in clinical research for better understanding the mechanisms underlying suicidal tendencies and to improve treatment response.
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Affiliation(s)
- Galina Surova
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Semmelweisstrasse 10, 04103, Leipzig, Germany.
- Depression Research Center, German Depression Foundation, Leipzig, Germany.
| | - Christine Ulke
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Semmelweisstrasse 10, 04103, Leipzig, Germany
- Depression Research Center, German Depression Foundation, Leipzig, Germany
| | - Frank Martin Schmidt
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Semmelweisstrasse 10, 04103, Leipzig, Germany
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Semmelweisstrasse 10, 04103, Leipzig, Germany
- IUBH International University, Erfurt, Germany
| | - Christian Sander
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Semmelweisstrasse 10, 04103, Leipzig, Germany
| | - Ulrich Hegerl
- Depression Research Center, German Depression Foundation, Leipzig, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
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Strauß M, Reif A, Ulke C, Paucke M, Sander C, Hegerl U, Weber H, Heupel J, Kopf J, Kittel-Schneider S. Is brain arousal regulation a predictor of response to psychostimulant therapy in adult ADHD patients? Eur Arch Psychiatry Clin Neurosci 2020; 270:1073-1076. [PMID: 31773256 DOI: 10.1007/s00406-019-01085-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 10/03/2019] [Indexed: 11/26/2022]
Abstract
We investigated whether baseline brain arousal instability during resting state EEG, using the Vigilance Algorithm Leipzig (VIGALL 2.1), can predict response to methylphenidate therapy in adult ADHD patients. An arousal stability score of the EEGs of 28 adult ADHD patients was calculated quantifying the extent of arousal decline. In logistic regression analysis, arousal stability score predicted response to MPH [odds ratio 1.28 (95% CI 1.0-1.65); p = 0.027]. In this pilot study, we demonstrated that arousal stability at baseline predicted methylphenidate treatment response, indicating that less stable arousal regulation during a 15-min EEG at rest increases the chance of treatment response.
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Affiliation(s)
- Maria Strauß
- Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Leipzig, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, Goethe University Frankfurt, Frankfurt, Germany
| | - Christine Ulke
- Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Leipzig, Germany
| | - Madlen Paucke
- Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Leipzig, Germany
| | - Christian Sander
- Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Leipzig, Germany
- Depression Research Centre, German Depression Foundation, Leipzig, Germany
| | - Ulrich Hegerl
- Department of Psychiatry and Psychotherapy, University Hospital of Leipzig, Leipzig, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, Goethe University Frankfurt, Frankfurt, Germany
- Depression Research Centre, German Depression Foundation, Leipzig, Germany
| | - Heike Weber
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, Goethe University Frankfurt, Frankfurt, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, University of Würzburg, Margarete-Höppel-Platz 1, 97080, Würzburg, Germany
| | - Julia Heupel
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, University of Würzburg, Margarete-Höppel-Platz 1, 97080, Würzburg, Germany
| | - Juliane Kopf
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, Goethe University Frankfurt, Frankfurt, Germany
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, Goethe University Frankfurt, Frankfurt, Germany.
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital, University of Würzburg, Margarete-Höppel-Platz 1, 97080, Würzburg, Germany.
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Fatigue in Cancer and Neuroinflammatory and Autoimmune Disease: CNS Arousal Matters. Brain Sci 2020; 10:brainsci10090569. [PMID: 32824904 PMCID: PMC7564388 DOI: 10.3390/brainsci10090569] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 08/11/2020] [Accepted: 08/14/2020] [Indexed: 01/20/2023] Open
Abstract
The term fatigue is not only used to describe a sleepy state with a lack of drive, as observed in patients with chronic physical illnesses, but also a state with an inhibition of drive and central nervous system (CNS) hyperarousal, as frequently observed in patients with major depression. An electroencephalogram (EEG)-based algorithm has been developed to objectively assess CNS arousal and to disentangle these pathophysiologically heterogeneous forms of fatigue. The aim of this study was to test the hypothesis that fatigued patients with CNS hyperarousal score higher on depressive symptoms than those without this neurophysiological pattern. METHODS Subjects with fatigue (Multidimensional Fatigue Inventory sum-score > 40) in the context of cancer, neuroinflammatory, or autoimmune diseases were drawn from the 60+ cohort of the Leipzig Research Center for Civilization Diseases. CNS arousal was assessed by automatic EEG-vigilance stage classification using the Vigilance Algorithm Leipzig (VIGALL 2.1) based on 20 min EEG recordings at rest with eyes closed. Depression was assessed by the Inventory of Depressive Symptomatology (IDS-SR). RESULTS Sixty participants (33 female; median age: 67.5 years) were included in the analysis. As hypothesized, fatigued patients with CNS hyperarousal had higher IDS-SR scores than those without hyperarousal (F1,58 = 18.34; p < 0.0001, η2 = 0.240). CONCLUSION hyperaroused fatigue in patients with chronic physical illness may be a sign of comorbid depression.
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Chen PC, Whitehurst LN, Naji M, Mednick SC. Autonomic/central coupling benefits working memory in healthy young adults. Neurobiol Learn Mem 2020; 173:107267. [PMID: 32535198 DOI: 10.1016/j.nlm.2020.107267] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 05/13/2020] [Accepted: 06/08/2020] [Indexed: 02/01/2023]
Abstract
Working memory (WM) is an executive function that can improve with training. However, the precise mechanism for this improvement is not known. Studies have shown greater WM gains after a period of sleep than a similar period of wake, and correlations between WM improvement and slow wave activity (SWA; 0.5-1 Hz) during slow wave sleep (SWS). A different body of literature has suggested an important role for autonomic activity during wake for WM. A recent study from our group reported that the temporal coupling of Autonomic/CentralEvents (ACEs) during sleep was associated with memory consolidation. We found that heart rate bursts (HR bursts) during non-rapid eye movement (NREM) sleep are accompanied by increases in SWA and sigma (12-15 Hz) power, as well as increases in the high-frequency (HF) component of the RR interval, reflecting vagal rebound. In addition, ACEs predict long-term, episodic memory improvement. Building on these previous results, we examined whether ACEs also contribute to gains in WM. We tested 104 young adults in an operation span task (OSPAN) in the morning and evening, with either a nap (n = 53; with electroencephalography (EEG) and electrocardiography (ECG)) or wake (n = 51) between testing sessions. We identified HR bursts in the ECG and replicated the increases in SWA and sigma prior to peak of the HR burst, as well as vagal rebound after the peak. Furthermore, we showed sleep-dependent WM improvement, which was predicted by ACE activity. Using regression analyses, we discovered that significantly more variance in WM improvement could be explained with ACE variables than with overall sleep activity not time-locked with ECG. These results provide the first evidence that coordinated autonomic and central events play a significant role in sleep-related WM improvement and implicate the potential of autonomic interventions during sleep for cognitive enhancement.
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Affiliation(s)
- Pin-Chun Chen
- Department of Cognitive Science, University of California, Irvine USA
| | | | - Mohsen Naji
- Department of Medicine, University of California, San Diego, CA, USA
| | - Sara C Mednick
- Department of Cognitive Science, University of California, Irvine USA.
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Wu L, Wang XQ, Yang Y, Dong TF, Lei L, Cheng QQ, Li SX. Spatio-temporal dynamics of EEG features during sleep in major depressive disorder after treatment with escitalopram: a pilot study. BMC Psychiatry 2020; 20:124. [PMID: 32171290 PMCID: PMC7071588 DOI: 10.1186/s12888-020-02519-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 02/26/2020] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Previous studies have shown escitalopram is related to sleep quality. However, effects of escitalopram on dynamics of electroencephalogram (EEG) features especially during different sleep stages have not been reported. This study may help to reveal pharmacological mechanism underlying escitalopram treatment. METHODS The spatial and temporal responses of patients with major depressive disorder (MDD) to escitalopram treatment were analyzed in this study. Eleven MDD patients and eleven healthy control subjects who completed eight weeks' treatment of escitalopram were included in the final statistics. Six-channel sleep EEG signals were acquired during sleep. Power spectrum and nonlinear dynamics were used to analyze the spatio-temporal dynamics features of the sleep EEG after escitalopram treatment. RESULTS For temporal dynamics: after treatment, there was a significant increase in the relative energy (RE) of δ1 band (0.5 - 2 Hz), accompanied by a significant decrease in the RE of β2 band (20 - 30 Hz). Lempel-Ziv complexity and Co - complexity values were significantly lower. EEG changes at different sleep stages also showed the same regulation as throughout the night sleep. For spatio dynamics: after treatment, the EEG response of the left and right hemisphere showed asymmetry. Regarding band-specific EEG complexity estimations, δ1 and β2 in stage-1 and δ1 in stage-2 sleep stage in frontal cortex is found to be much more sensitive to escitalopram treatment in comparison to central and occipital cortices. CONCLUSIONS The sleep quality of MDD patients improved, EEG response occurred asymmetry in left and right hemispheres due to escitalopram treatment, and frontal cortex is found to be much more sensitive to escitalopram treatment. These findings may contribute to a comprehensive understanding of the pharmacological mechanism of escitalopram in the treatment of depression.
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Affiliation(s)
- Li Wu
- School of automation Hangzhou Dianzi University, HangZhou Economic Development Zone, 1158, 2# Road, BaiYang Street, Hangzhou, 310018 Zhejiang China
| | - Xue-Qin Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191 China
| | - Yong Yang
- School of automation Hangzhou Dianzi University, HangZhou Economic Development Zone, 1158, 2# Road, BaiYang Street, Hangzhou, 310018 Zhejiang China
| | - Teng-Fei Dong
- School of automation Hangzhou Dianzi University, HangZhou Economic Development Zone, 1158, 2# Road, BaiYang Street, Hangzhou, 310018 Zhejiang China
| | - Ling Lei
- School of automation Hangzhou Dianzi University, HangZhou Economic Development Zone, 1158, 2# Road, BaiYang Street, Hangzhou, 310018 Zhejiang China
| | - Qi-Qi Cheng
- School of automation Hangzhou Dianzi University, HangZhou Economic Development Zone, 1158, 2# Road, BaiYang Street, Hangzhou, 310018 Zhejiang China
| | - Su-Xia Li
- National Institute on Drug Dependence, Peking University, Beijing, 100191 China
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Vulnerability to bipolar disorder is linked to sleep and sleepiness. Transl Psychiatry 2019; 9:294. [PMID: 31712668 PMCID: PMC6848097 DOI: 10.1038/s41398-019-0632-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 10/01/2019] [Accepted: 10/20/2019] [Indexed: 12/16/2022] Open
Abstract
Sleep impairments are a hallmark of acute bipolar disorder (BD) episodes and are present even in the euthymic state. Studying healthy subjects who are vulnerable to BD can improve our understanding of whether sleep impairment is a predisposing factor. Therefore, we investigated whether vulnerability to BD, dimensionally assessed by the hypomanic personality scale (HPS), is associated with sleep disturbances in healthy subjects. We analyzed participants from a population-based cohort who had completed the HPS and had either a 7-day actigraphy recording or a Pittsburgh sleep quality index (PSQI) assessment. In addition, subjects had to be free of confounding diseases or medications. This resulted in 771 subjects for actigraphy and 1766 for PSQI analyses. We found strong evidence that higher HPS scores are associated with greater intraindividual sleep variability, more disturbed sleep and more daytime sleepiness. In addition, factor analyses revealed that core hypomanic features were especially associated with self-reported sleep impairments. Results support the assumption of disturbed sleep as a possibly predisposing factor for BD and suggest sleep improvement as a potential early prevention target.
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Radha M, Fonseca P, Moreau A, Ross M, Cerny A, Anderer P, Long X, Aarts RM. Sleep stage classification from heart-rate variability using long short-term memory neural networks. Sci Rep 2019; 9:14149. [PMID: 31578345 PMCID: PMC6775145 DOI: 10.1038/s41598-019-49703-y] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 07/10/2019] [Indexed: 01/29/2023] Open
Abstract
Automated sleep stage classification using heart rate variability (HRV) may provide an ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities for unobtrusive home-based sleep monitoring. Current methods however are limited in their ability to take into account long-term sleep architectural patterns. A long short-term memory (LSTM) network is proposed as a solution to model long-term cardiac sleep architecture information and validated on a comprehensive data set (292 participants, 584 nights, 541.214 annotated 30 s sleep segments) comprising a wide range of ages and pathological profiles, annotated according to the Rechtschaffen and Kales (R&K) annotation standard. It is shown that the model outperforms state-of-the-art approaches which were often limited to non-temporal or short-term recurrent classifiers. The model achieves a Cohen's k of 0.61 ± 0.15 and accuracy of 77.00 ± 8.90% across the entire database. Further analysis revealed that the performance for individuals aged 50 years and older may decline. These results demonstrate the merit of deep temporal modelling using a diverse data set and advance the state-of-the-art for HRV-based sleep stage classification. Further research is warranted into individuals over the age of 50 as performance tends to worsen in this sub-population.
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Affiliation(s)
- Mustafa Radha
- Royal Philips, Research, High Tech Campus 34, 5656 AE, Eindhoven, The Netherlands.
- Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands.
| | - Pedro Fonseca
- Royal Philips, Research, High Tech Campus 34, 5656 AE, Eindhoven, The Netherlands
- Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands
| | - Arnaud Moreau
- Philips Austria GmbH, Kranichberggasse 4, 1120, Vienna, Austria
| | - Marco Ross
- Philips Austria GmbH, Kranichberggasse 4, 1120, Vienna, Austria
| | - Andreas Cerny
- Philips Austria GmbH, Kranichberggasse 4, 1120, Vienna, Austria
| | - Peter Anderer
- Philips Austria GmbH, Kranichberggasse 4, 1120, Vienna, Austria
| | - Xi Long
- Royal Philips, Research, High Tech Campus 34, 5656 AE, Eindhoven, The Netherlands
- Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands
| | - Ronald M Aarts
- Royal Philips, Research, High Tech Campus 34, 5656 AE, Eindhoven, The Netherlands
- Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands
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14
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Naji M, Krishnan GP, McDevitt EA, Bazhenov M, Mednick SC. Timing between Cortical Slow Oscillations and Heart Rate Bursts during Sleep Predicts Temporal Processing Speed, but Not Offline Consolidation. J Cogn Neurosci 2019; 31:1484-1490. [PMID: 31180264 DOI: 10.1162/jocn_a_01432] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Central and autonomic nervous system activities are coupled during sleep. Cortical slow oscillations (SOs; <1 Hz) coincide with brief bursts in heart rate (HR), but the functional consequence of this coupling in cognition remains elusive. We measured SO-HR temporal coupling (i.e., the peak-to-peak interval between downstate of SO event and HR burst) during a daytime nap and asked whether this SO-HR timing measure was associated with temporal processing speed and learning on a texture discrimination task by testing participants before and after a nap. The coherence of SO-HR events during sleep strongly correlated with an individual's temporal processing speed in the morning and evening test sessions, but not with their change in performance after the nap (i.e., consolidation). We confirmed this result in two additional experimental visits and also discovered that this association was visit-specific, indicating a state (not trait) marker. Thus, we introduce a novel physiological index that may be a useful marker of state-dependent processing speed of an individual.
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15
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Huang J, Ulke C, Strauss M. Brain arousal regulation and depressive symptomatology in adults with attention-deficit/hyperactivity disorder (ADHD). BMC Neurosci 2019; 20:43. [PMID: 31429702 PMCID: PMC6701141 DOI: 10.1186/s12868-019-0526-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 08/14/2019] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND The aim of the present study was to evaluate the stability of brain arousal in adult attention-deficit/hyperactivity disorder (ADHD) outpatients with and without depressive symptomatology, and its association with depressive symptom severity and absolute electroencephalogram (EEG) power in different frequency bands. METHODS We included 31 outpatient adults (45.16% females), who were diagnosed according to DSM-IV and received no medication. Their arousal stability score (index of the steepness of arousal decline during a 15-min EEG under resting conditions), the absolute EEG power and self-reports, including depressive and ADHD-related symptoms, were analyzed. Participants were split into an unstable and stable arousal group based on the median (= 6) of the arousal stability score. RESULTS ADHD patients in the stable group reported more severe depressive symptoms (p = 0.018) and showed reduced absolute EEG power in the delta (0.002 ≤ p ≤ 0.025) and theta (0.011 ≤ p ≤ 0.034) bands compared to those in the unstable group. There was no correlation between the arousal stability score and self-report-scales concerning ADHD-related symptoms (0.214 ≤ p ≤ 0.989), but a positive association with self-reported depressive severity (p = 0.018) and negative association with powers in the EEG delta and theta bands (0.001 ≤ p ≤ 0.033). CONCLUSIONS In view of high comorbidity of depression and ADHD in adult patients, these findings support the assumption that brain arousal regulation could be considered as a helpful marker for the clinical differentiation between ADHD and depression.
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Affiliation(s)
- Jue Huang
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstrasse 10, 04103, Leipzig, Germany.
| | - Christine Ulke
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstrasse 10, 04103, Leipzig, Germany
| | - Maria Strauss
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstrasse 10, 04103, Leipzig, Germany
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16
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de Góes VB, Frizzo ACF, Oliveira FR, Garner DM, Raimundo RD, Valenti VE. Interaction Between Cortical Auditory Processing and Vagal Regulation of Heart Rate in Language Tasks: A Randomized, Prospective, Observational, Analytical and Cross-Sectional Study. Sci Rep 2019; 9:4277. [PMID: 30862817 PMCID: PMC6414501 DOI: 10.1038/s41598-019-41014-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 12/04/2018] [Indexed: 01/09/2023] Open
Abstract
Cortical auditory evoked potentials (CAEP) throughout a language task is beneficial during psychophysiological evaluation to advance identification of language disorders. So as to better comprehend human communication and to provide additional elements for neuropsychological examinations we aimed to (1) examine the influence of language tasks on cortical auditory processing and vagal control of heart rate and (2) to verify a possible association between the parasympathetic cardiac regulation and cortical auditory processing in language tasks. This study was completed with 49 women. The subjects were separated into two groups: (1) phonological language tasks (N = 21) and (2) semantic (N = 21) language tasks. Heart rate variability (HRV) and CAEP were evaluated before and after the tests. HRV reduced (small effect size) and P3 wave latency increased after the phonological task. Identical variables were significantly correlated after the phonological task and linear regression indicated significant interaction between pNN50 (percentage of adjacent RR intervals with a difference of duration greater than 50 milliseconds) and P3 latency (16.9%). In conclusion, phonological language tasks slightly reduced parasympathetic control of HR and increased cognitive effort. The association between HRV and CAEP are anticipated to be involved in this mechanism.
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Affiliation(s)
- Viviane B de Góes
- Autonomic Nervous System Center (CESNA), Department of Speech, Language and Hearing Therapy, UNESP, Marilia, Brazil
| | - Ana Claúdia F Frizzo
- Autonomic Nervous System Center (CESNA), Department of Speech, Language and Hearing Therapy, UNESP, Marilia, Brazil
| | | | - David M Garner
- Cardiorespiratory Research Group, Department of Biological and Medical Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Headington Campus, Oxford, OX3 0BP, United Kingdom
| | - Rodrigo D Raimundo
- Laboratory of Design and Scientific Writing, School of Medicine of ABC, Santo Andre, SP, Brazil
| | - Vitor E Valenti
- Autonomic Nervous System Center (CESNA), Department of Speech, Language and Hearing Therapy, UNESP, Marilia, Brazil.
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17
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Brain arousal regulation in SSRI-medicated patients with major depression. J Psychiatr Res 2019; 108:34-39. [PMID: 30448695 DOI: 10.1016/j.jpsychires.2018.11.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 10/29/2018] [Accepted: 11/02/2018] [Indexed: 12/27/2022]
Abstract
EEG measures of arousal have been suggested as diagnostic and predictive biomarkers for major depression. The aim of the present study was to examine whether self-rated depression severity in SSRI-medicated patients with major depression (MD) is associated with EEG measures of brain arousal. Based on previous studies, we expected that a higher level of brain arousal and a slower arousal decline during a 15-min EEG recording are associated with higher symptom severity as assessed with the Beck Depression Inventory (BDI) at the time of the EEG recording. EEGs of 78 MD patients and 46 healthy controls were analyzed. Brain arousal was assessed using the Vigilance Algorithm Leipzig (VIGALL 2.1). Based on automatically classified 1-s segments (EEG-vigilance Stages 0, A1, A2, A3, B1, B2/3 or C) we computed indices to assess the level (mean EEG-vigilance) and the decline of arousal (slope index) during the 15-min resting state EEG under eyes-closed condition. We found that a higher arousal level and a slower arousal decline corresponded to higher severity of depressive symptoms (rho = 0.238, p = .018; and rho = 0.236; p = .019). Self-rated non-remitters (BDI>12) had a higher arousal level (mean EEG-vigilance: t76 = -2.19, p = .016) and slower arousal decline (slope index: Z = -2.08, p = .019) during the 15-min recording as compared to remitters. Similar results were obtained between non-remitters and healthy controls (mean EEG-vigilance: t102 = -2.75, p = .004; slope index: Z = -1.92, p = .028), but not between remitters and controls (p > .260). The findings support the model that brain arousal regulation plays an important role in the pathophysiology and treatment of MD.
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18
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Ulke C, Tenke CE, Kayser J, Sander C, Böttger D, Wong LYX, Alvarenga JE, Fava M, McGrath PJ, Deldin PJ, Mcinnis MG, Trivedi MH, Weissman MM, Pizzagalli DA, Hegerl U, Bruder GE. Resting EEG Measures of Brain Arousal in a Multisite Study of Major Depression. Clin EEG Neurosci 2019; 50:3-12. [PMID: 30182751 PMCID: PMC6384132 DOI: 10.1177/1550059418795578] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Several studies have found upregulated brain arousal during 15-minute EEG recordings at rest in depressed patients. However, studies based on shorter EEG recording intervals are lacking. Here we aimed to compare measures of brain arousal obtained from 2-minute EEGs at rest under eyes-closed condition in depressed patients and healthy controls in a multisite project-Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC). We expected that depressed patients would show stable and elevated brain arousal relative to controls. Eighty-seven depressed patients and 36 healthy controls from four research sites in the United States were included in the analyses. The Vigilance Algorithm Leipzig (VIGALL) was used for the fully automatic classification of EEG-vigilance stages (indicating arousal states) of 1-second EEG segments; VIGALL-derived measures of brain arousal were calculated. We found that depressed patients scored higher on arousal stability ( Z = -2.163, P = .015) and A stages (dominant alpha activity; P = .027) but lower on B1 stages (low-voltage non-alpha activity, P = .008) compared with healthy controls. No significant group differences were observed in Stage B2/3. In summary, we were able to demonstrate stable and elevated brain arousal during brief 2-minute recordings at rest in depressed patients. Results set the stage for examining the value of these measures for predicting clinical response to antidepressants in the entire EMBARC sample and evaluating whether an upregulated brain arousal is particularly characteristic for responders to antidepressants.
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Affiliation(s)
- Christine Ulke
- 1 Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany.,2 Research Centre of the German Depression Foundation, Leipzig, Germany
| | - Craig E Tenke
- 3 Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.,4 New York State Psychiatric Institute, New York, NY, USA
| | - Jürgen Kayser
- 3 Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.,4 New York State Psychiatric Institute, New York, NY, USA
| | - Christian Sander
- 1 Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany.,2 Research Centre of the German Depression Foundation, Leipzig, Germany
| | - Daniel Böttger
- 1 Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany.,2 Research Centre of the German Depression Foundation, Leipzig, Germany
| | - Lidia Y X Wong
- 4 New York State Psychiatric Institute, New York, NY, USA
| | | | - Maurizio Fava
- 5 Depression Clinical and Research Program, MA General Hospital, Boston, Massachusetts, USA
| | - Patrick J McGrath
- 3 Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.,4 New York State Psychiatric Institute, New York, NY, USA
| | - Patricia J Deldin
- 6 Departments of Psychology and Psychiatry, The University of Michigan, Ann Arbor, MI, USA
| | - Melvin G Mcinnis
- 7 Department of Psychiatry, The University of Michigan, Ann Arbor, MI, USA
| | - Madhukar H Trivedi
- 8 Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Myrna M Weissman
- 3 Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.,4 New York State Psychiatric Institute, New York, NY, USA
| | - Diego A Pizzagalli
- 9 Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - Ulrich Hegerl
- 1 Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany.,2 Research Centre of the German Depression Foundation, Leipzig, Germany
| | - Gerard E Bruder
- 3 Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.,4 New York State Psychiatric Institute, New York, NY, USA
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Huang J, Ulke C, Sander C, Jawinski P, Spada J, Hegerl U, Hensch T. Impact of brain arousal and time-on-task on autonomic nervous system activity in the wake-sleep transition. BMC Neurosci 2018; 19:18. [PMID: 29642849 PMCID: PMC5896037 DOI: 10.1186/s12868-018-0419-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 03/27/2018] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Autonomic nervous system (ANS) activity has been shown to vary with the state of brain arousal. In a previous study, this association of ANS activity with distinct states of brain arousal was demonstrated using 15-min EEG data, but without directly controlling for possible time-on-task effects. In the current study we examine ANS-activity in fine-graded EEG-vigilance stages (indicating states of brain arousal) during two conditions of a 2-h oddball task while controlling for time-on-task. In addition, we analyze the effect of time-on-task on ANS-activity while holding the level of brain arousal constant. METHODS Heart rate and skin conductance level of healthy participants were recorded during a 2-h EEG with eyes closed under simultaneous presentation of stimuli in an ignored (N = 39) and attended (N = 39) oddball condition. EEG-vigilance stages were classified using the Vigilance Algorithm Leipzig (VIGALL 2.1). The time-on-task effect was tested by dividing the EEG into four 30-min consecutive time blocks. ANS-activity was compared between EEG-vigilance stages across the entire 2 h and within each time block. RESULTS We found a coherent decline of ANS-activity with declining brain arousal states, over the 2-h recording and in most cases within each 30-min block in both conditions. Furthermore, we found a significant time-on-task effect on heart rate, even when arousal was kept constant. It was most pronounced between the first and all subsequent blocks and could have been a consequence of postural change at the beginning of the experiment. CONCLUSION Our findings contribute to the validation of VIGALL 2.1 using ANS parameters in 2-h EEG recording under oddball conditions.
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Affiliation(s)
- Jue Huang
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
| | - Christine Ulke
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
- Depression Research Centre, German Depression Foundation, Leipzig, Germany
| | - Christian Sander
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
- Depression Research Centre, German Depression Foundation, Leipzig, Germany
| | - Philippe Jawinski
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
- Depression Research Centre, German Depression Foundation, Leipzig, Germany
| | - Janek Spada
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
- Depression Research Centre, German Depression Foundation, Leipzig, Germany
| | - Ulrich Hegerl
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
- Depression Research Centre, German Depression Foundation, Leipzig, Germany
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstrasse 10, 04103 Leipzig, Germany
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Strauß M, Ulke C, Paucke M, Huang J, Mauche N, Sander C, Stark T, Hegerl U. Brain arousal regulation in adults with attention-deficit/hyperactivity disorder (ADHD). Psychiatry Res 2018; 261:102-108. [PMID: 29291475 DOI: 10.1016/j.psychres.2017.12.043] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 12/15/2017] [Indexed: 12/12/2022]
Abstract
The main aim of the current study was to test the hypothesis that adult patients with attention-deficit/hyperactivity disorder (ADHD) have less stable brain arousal regulation than healthy controls. We objectively assessed brain arousal regulation using the Vigilance Algorithm Leipzig (VIGALL 2.1) to analyze 15-min resting EEG data of thirty-three ADHD patients and thirty-five matched controls. Based on automatically classified 1-s segments we computed mean EEG-vigilance (indexing arousal level) and arousal stability score (indexing arousal regulation). Adult ADHD patients showed significantly lower arousal levels and significantly less stable brain arousal regulation than controls. Multiple regression analysis indicated that arousal regulation (i.e., arousal stability score) predicted the retrospectively-assessed severity of childhood ADHD symptoms, supporting the trait aspect of brain arousal regulation. Our findings support the arousal regulation model of ADHD, which interprets hyperactivity and sensation seeking as an autoregulatory reaction to an unstable regulation of brain arousal. EEG-based arousal parameters may be candidate biomarkers for adult ADHD.
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Affiliation(s)
- Maria Strauß
- Department of Psychiatry and Psychotherapy, Leipzig University Hospital, Leipzig, Germany
| | - Christine Ulke
- Department of Psychiatry and Psychotherapy, Leipzig University Hospital, Leipzig, Germany; Depression Research Center, German Depression Foundation, Leipzig, Germany.
| | - Madlen Paucke
- Department of Psychiatry and Psychotherapy, Leipzig University Hospital, Leipzig, Germany
| | - Jue Huang
- Department of Psychiatry and Psychotherapy, Leipzig University Hospital, Leipzig, Germany
| | - Nicole Mauche
- Department of Psychiatry and Psychotherapy, Leipzig University Hospital, Leipzig, Germany
| | - Christian Sander
- Department of Psychiatry and Psychotherapy, Leipzig University Hospital, Leipzig, Germany; Depression Research Center, German Depression Foundation, Leipzig, Germany
| | - Tetyana Stark
- Department of Psychiatry and Psychotherapy, Leipzig University Hospital, Leipzig, Germany
| | - Ulrich Hegerl
- Department of Psychiatry and Psychotherapy, Leipzig University Hospital, Leipzig, Germany; Depression Research Center, German Depression Foundation, Leipzig, Germany
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