2023
An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory
Melloni L, Mudrik L, Pitts M, Bendtz K, Ferrante O, Gorska U, Hirschhorn R, Khalaf A, Kozma C, Lepauvre A, Liu L, Mazumder D, Richter D, Zhou H, Blumenfeld H, Boly M, Chalmers D, Devore S, Fallon F, de Lange F, Jensen O, Kreiman G, Luo H, Panagiotaropoulos T, Dehaene S, Koch C, Tononi G. An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory. PLOS ONE 2023, 18: e0268577. PMID: 36763595, PMCID: PMC9916582, DOI: 10.1371/journal.pone.0268577.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingGlobal neuronal workspaceConscious visual perceptionIntracranial electroencephalographyVisual consciousnessVisual perceptionConscious experienceBrain activityIntegrated Information TheoryMajor theoriesAdversarial collaborationHuman brainDifferent accountsOpen science practicesStudy protocolMagnetic resonance imagingConsciousnessInformation theoryTheory proponentsTheoryPerceptionResonance imagingElectroencephalographyCorrelatesRelationship
2020
Hybrid EEG–fTCD Brain–Computer Interfaces
Khalaf A, Sejdic E, Akcakaya M. Hybrid EEG–fTCD Brain–Computer Interfaces. Cognitive Science And Technology 2020, 295-314. DOI: 10.1007/978-3-030-34784-0_15.Peer-Reviewed Original ResearchFunctional transcranial Doppler ultrasoundBrain-computer interfaceWord generationBrain activityNoninvasive brain-computer interfaceHybrid brain-computer interfaceMental rotation taskDifferent brain activitiesElectrical brain activityCognitive tasksPresentation paradigmRotation taskVisual stimuliEEG recording deviceLimited speechNovel hybrid brain-computer interfaceNeuroimaging modalitiesPhysical abilityElectroencephalographyTaskComputer interfaceTask problemMI presentationHigh temporal resolutionSpeech
2018
EEG-based neglect assessment: A feasibility study
Khalaf A, Kersey J, Eldeeb S, Alankus G, Grattan E, Waterstram L, Skidmore E, Akcakaya M. EEG-based neglect assessment: A feasibility study. Journal Of Neuroscience Methods 2018, 303: 169-177. PMID: 29614297, PMCID: PMC7156006, DOI: 10.1016/j.jneumeth.2018.03.019.Peer-Reviewed Original ResearchConceptsSpatial neglectPencil testsPassive BCI systemAutomatic attentionTarget stimuliSubjects' attentionComputerized testsVisual stimuliNeuropsychological syndromesAttention levelVisual spaceEEG responsesHealthy participantsNeglect assessmentsStimuliCurrent assessment methodsTraditional paperElectroencephalographyDynamic assessmentDifferent processingEEG signalsBCI systemCortical lesionsAttentionComplex environments