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| Name | Class |
|---|---|
| German Research Foundation | OTHER |
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In this project EEG recordings between healthy participants and those with a diagnosed Absence-epilepsy will be compared. The investigators suggest differences in EEG microstate analysis and neuropsychological parameters related to interictal cognitive impairment in these patients. This projects goal is to derive an EEG-based measure of conscious awareness.
This projects goal is to derive an EEG-based measure of conscious awareness to be applied in the care for epilepsy patients. The established terminology of "ictal" versus "interictal" is deceptive because it suggests that during the "interictal" phase epileptic activity is absent and detrimental mechanisms of the disease are only active during seizures. But evidence exists that cognitive impairment extends to states traditionally considered interictal. The development of an objective, ideally ambulatory test assessing cognitive impairment would not only provide a deeper understanding of the pathology but induce a change in clinical practice: if cognitive impairment could be demonstrated "interictally", this fact would help to weigh treatment effects against potential side-effects.
In this project the investigators will set out to
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| healthy subjects | Age-matched healthy participants will be recruited via flyers at public education facilities and online advertisement. Participants need to be healthy and without central nervous system disorders and substance abuse. The investigators will also exclude pregnant women from the experiment. | ||
| patients with absence epilepsy | Apart from the diagnosis of epilepsy, patients need to be of good health and without central nervous system disorders and substance abuse. The investigators will also exclude pregnant women from the experiment. |
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| Measure | Description | Time Frame |
|---|---|---|
| temporal integration changes according to different sleep states | The investigators develop an EEG-based measure of impaired conscious awareness based on wakefulness and deepening sleep stages which will serve as a model for increasingly impaired conscious awareness. By performing a microstate analysis on EEG data, the investigators hypothesize a decrease of the temporal integration, a prerequisite for conscious awareness, of the EEG gradually from wakefulness to deep sleep. | 3 years |
| temporal integration changes in interictal EEG | The investigators apply the aforementioned analysis (leading to Outcome 1) on interictal EEG recordings obtained from patients with diagnosed absence epilepsy. The investigators hypothesize a reduced temporal integration in epilepsies with reduced consciousness. | 3 years |
| graph modularity changes according to different sleep states | The investigators will calculate the EEG-based functional connectivity and graph modularity for each sleep state. The investigators hypothesize that during wakefulness, graph modularity will be lower than during the descent to sleep. | 3 years |
| graph modularity changes in interictal EEG | The investigators will calculate the EEG-based functional connectivity and graph modularity for the absence epilepsy condition. The investigators hypothesize that impaired consciousness will be reflected in lower graph modularity compared to healthy subjects. | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| EEG based measures (Outcome 4) correlate with | The investigators hypothesize that the graph modularity level correlates with neuropsychological test scores in the surveyed data of epilepsy patients. | 3 years |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with diagnosed absence epilepsy at least 18 years old; age-matched controls.
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| Name | Affiliation | Role |
|---|---|---|
| Inken Toedt, Dr. phil. Dipl.-Psych. | University Hospital Schleswig-Holstein, Kiel | Principal Investigator |
| Helmut Laufs, PD Dr. med. | University Hospital Schleswig-Holstein, Kiel | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Neurology | Kiel | 24105 | Germany |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 22658975 | Background | Brodbeck V, Kuhn A, von Wegner F, Morzelewski A, Tagliazucchi E, Borisov S, Michel CM, Laufs H. EEG microstates of wakefulness and NREM sleep. Neuroimage. 2012 Sep;62(3):2129-39. doi: 10.1016/j.neuroimage.2012.05.060. Epub 2012 May 30. | |
| 28724928 | Background | Haimovici A, Tagliazucchi E, Balenzuela P, Laufs H. On wakefulness fluctuations as a source of BOLD functional connectivity dynamics. Sci Rep. 2017 Jul 19;7(1):5908. doi: 10.1038/s41598-017-06389-4. |
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Analysis protocols and analysis scripts will be shared between this studies collaborators through a public platform, probably GitHub. The corresponding repositories will be openly accessible.
Calculated data will be accessible in the context of planned publications afterwards.
The collected raw data, therefore IPD won't be shared before the final investigation by the study group.
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Apr 8, 2021 | Apr 8, 2021 | Prot_000.pdf |
| ICF | No | No | Yes | Informed Consent Form | Mar 26, 2021 | Mar 26, 2021 | ICF_001.pdf |
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| ID | Term |
|---|---|
| D004832 | Epilepsy, Absence |
| ID | Term |
|---|---|
| D004829 | Epilepsy, Generalized |
| D004827 | Epilepsy |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| 25168255 | Background | Kuhn A, Brodbeck V, Tagliazucchi E, Morzelewski A, von Wegner F, Laufs H. Narcoleptic Patients Show Fragmented EEG-Microstructure During Early NREM Sleep. Brain Topogr. 2015 Jul;28(4):619-35. doi: 10.1007/s10548-014-0387-1. Epub 2014 Aug 29. |
| 25309503 | Background | Laufs H, Rodionov R, Thornton R, Duncan JS, Lemieux L, Tagliazucchi E. Altered FMRI connectivity dynamics in temporal lobe epilepsy might explain seizure semiology. Front Neurol. 2014 Sep 11;5:175. doi: 10.3389/fneur.2014.00175. eCollection 2014. |
| 26650048 | Background | Tagliazucchi E, Crossley N, Bullmore ET, Laufs H. Deep sleep divides the cortex into opposite modes of anatomical-functional coupling. Brain Struct Funct. 2016 Nov;221(8):4221-4234. doi: 10.1007/s00429-015-1162-0. Epub 2015 Dec 9. |
| 24811386 | Background | Tagliazucchi E, Laufs H. Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep. Neuron. 2014 May 7;82(3):695-708. doi: 10.1016/j.neuron.2014.03.020. |
| 27085214 | Background | Tagliazucchi E, Roseman L, Kaelen M, Orban C, Muthukumaraswamy SD, Murphy K, Laufs H, Leech R, McGonigle J, Crossley N, Bullmore E, Williams T, Bolstridge M, Feilding A, Nutt DJ, Carhart-Harris R. Increased Global Functional Connectivity Correlates with LSD-Induced Ego Dissolution. Curr Biol. 2016 Apr 25;26(8):1043-50. doi: 10.1016/j.cub.2016.02.010. Epub 2016 Apr 13. |
| 23313420 | Background | Tagliazucchi E, von Wegner F, Morzelewski A, Brodbeck V, Borisov S, Jahnke K, Laufs H. Large-scale brain functional modularity is reflected in slow electroencephalographic rhythms across the human non-rapid eye movement sleep cycle. Neuroimage. 2013 Apr 15;70:327-39. doi: 10.1016/j.neuroimage.2012.12.073. Epub 2013 Jan 9. |
| 24003146 | Background | Tagliazucchi E, von Wegner F, Morzelewski A, Brodbeck V, Jahnke K, Laufs H. Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep. Proc Natl Acad Sci U S A. 2013 Sep 17;110(38):15419-24. doi: 10.1073/pnas.1312848110. Epub 2013 Sep 3. |
| 28673879 | Background | von Wegner F, Tagliazucchi E, Laufs H. Information-theoretical analysis of resting state EEG microstate sequences - non-Markovianity, non-stationarity and periodicities. Neuroimage. 2017 Sep;158:99-111. doi: 10.1016/j.neuroimage.2017.06.062. Epub 2017 Jun 30. |
| D009422 |
| Nervous System Diseases |
| D000073376 | Epileptic Syndromes |