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
2022
A machine‐learning approach for predicting impaired consciousness in absence epilepsy
Springer M, Khalaf A, Vincent P, Ryu JH, Abukhadra Y, Beniczky S, Glauser T, Krestel H, Blumenfeld H. A machine‐learning approach for predicting impaired consciousness in absence epilepsy. Annals Of Clinical And Translational Neurology 2022, 9: 1538-1550. PMID: 36114696, PMCID: PMC9539371, DOI: 10.1002/acn3.51647.Peer-Reviewed Original ResearchEarly neural activity changes associated with stimulus detection during visual conscious perception
Khalaf A, Kronemer SI, Christison-Lagay K, Kwon H, Li J, Wu K, Blumenfeld H. Early neural activity changes associated with stimulus detection during visual conscious perception. Cerebral Cortex 2022, 33: 1347-1360. PMID: 35446937, DOI: 10.1093/cercor/bhac140.Peer-Reviewed Original ResearchConceptsVisual conscious perceptionNeural activity changesConscious perceptionStimulus detectionContinuous performance taskCortical neural signalsGamma power increaseGamma power changesMedial occipital cortexMedial temporal cortexParietal-temporal cortexTarget letterNontarget stimuliPerformance taskVisual stimuliStimulus onsetPopulation neural activityBroadband gamma powerNeural activityTemporal cortexGamma powerActivity changesMotor responsePremotor areasOccipital cortex
2021
Early cortical signals in visual stimulus detection
Kwon H, Kronemer SI, Christison-Lagay KL, Khalaf A, Li J, Ding JZ, Freedman NC, Blumenfeld H. Early cortical signals in visual stimulus detection. NeuroImage 2021, 244: 118608. PMID: 34560270, DOI: 10.1016/j.neuroimage.2021.118608.Peer-Reviewed Original ResearchConceptsConscious perceptionStimulus onsetLeft hemisphere language areasVisual conscious perceptionWord recall taskBilateral medial temporal corticesVerbal memory taskConscious visual perceptionLeft rostral middle frontal gyrusHemisphere language areasVisual stimulus detectionMiddle frontal gyrusGamma power increaseGamma power changesDefault mode networkMedial temporal regionsBroadband gamma activityNeural activity changesMedial temporal cortexRight frontal cortexSignal detection networkMultiple cortical regionsRostral middle frontal gyrusMemory taskRecall task
2020
EEG-based Neglect Detection for Stroke Patients
Kocanaogullari D, Mak J, Kersey J, Khalaf A, Ostadabbas S, Wittenberg G, Skidmore E, Akcakaya M. EEG-based Neglect Detection for Stroke Patients. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2020, 00: 264-267. PMID: 33017979, DOI: 10.1109/embc44109.2020.9176378.Peer-Reviewed Original ResearchA probabilistic approach for calibration time reduction in hybrid EEG–fTCD brain–computer interfaces
Khalaf A, Akcakaya M. A probabilistic approach for calibration time reduction in hybrid EEG–fTCD brain–computer interfaces. BioMedical Engineering OnLine 2020, 19: 23. PMID: 32299441, PMCID: PMC7164278, DOI: 10.1186/s12938-020-00765-4.Peer-Reviewed Original ResearchMeSH KeywordsBrain-Computer InterfacesCalibrationElectrodesElectroencephalographyHumansMachine LearningProbabilitySignal Processing, Computer-AssistedTime FactorsConceptsBrain-computer interfaceClass-conditional distributionsBCI usersSmall training datasetMI paradigmSupport vector machineCalibration time reductionHybrid brain-computer interfaceMotor imageryTraining dataBetter generalizationFeature vectorsVector machineTraining datasetUsersPrevious usersCalibration sessionSimilar datasetsBhattacharyya distanceGeneration paradigmDatasetCalibration requirementsEfficient performance
2019
EEG-fTCD hybrid brain–computer interface using template matching and wavelet decomposition
Khalaf A, Sejdic E, Akcakaya M. EEG-fTCD hybrid brain–computer interface using template matching and wavelet decomposition. Journal Of Neural Engineering 2019, 16: 036014. PMID: 30818297, DOI: 10.1088/1741-2552/ab0b7f.Peer-Reviewed Original ResearchCommon spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface
Khalaf A, Sejdic E, Akcakaya M. Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface. Journal Of Neuroscience Methods 2019, 320: 98-106. PMID: 30946880, DOI: 10.1016/j.jneumeth.2019.03.018.Peer-Reviewed Original Research
2018
A novel motor imagery hybrid brain computer interface using EEG and functional transcranial Doppler ultrasound
Khalaf A, Sejdic E, Akcakaya M. A novel motor imagery hybrid brain computer interface using EEG and functional transcranial Doppler ultrasound. Journal Of Neuroscience Methods 2018, 313: 44-53. PMID: 30590086, DOI: 10.1016/j.jneumeth.2018.11.017.Peer-Reviewed Original ResearchTowards optimal visual presentation design for hybrid EEG—fTCD brain–computer interfaces
Khalaf A, Sejdic E, Akcakaya M. Towards optimal visual presentation design for hybrid EEG—fTCD brain–computer interfaces. Journal Of Neural Engineering 2018, 15: 056019. PMID: 30021931, DOI: 10.1088/1741-2552/aad46f.Peer-Reviewed Original ResearchConceptsFunctional transcranial Doppler ultrasoundMental rotationTerms of accuracyTransfer rateFTCD signalsHybrid systemDesign approachReal-time BCIVisual presentationFeasible candidateMotor imageryInterface systemHigh accuracyVisual stimulation techniqueElectrical brain activityBrain-computer interface (BCI) systemsHybrid BCIHybrid combinationCognitive tasksPower spectrumSuch promising resultsHybrid brain-computer interface (BCI) systemFixation crossAccuracyDesignEEG-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