Results 21 to 30 of about 3,351 (196)

Certainty-Based Reduced Sparse Solution for Dense Array EEG Source Localization [PDF]

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019
IEEE Transactions on Neural Systems & Rehabilitation Engineering ...
Teja Mannepalli, Aurobinda Routray
exaly   +4 more sources

EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials [PDF]

The Scientific World Journal, 2014
Brain-machine interfaces (BMI) rely on the accurate classification of event-related potentials (ERPs) and their performance greatly depends on the appropriate selection of classifier parameters and features from dense-array electroencephalography (EEG ...
Alejandro Gonzalez, Isao Nambu, Haruhide Hokari, Yasuhiro Wada   +3 more
doaj   +2 more sources

Dysconnection topography in schizophrenia revealed with state-space analysis of EEG. [PDF]

PLoS ONE, 2007
BackgroundThe dysconnection hypothesis has been proposed to account for pathophysiological mechanisms underlying schizophrenia. Widespread structural changes suggesting abnormal connectivity in schizophrenia have been imaged.
Mahdi Jalili, Suzie Lavoie, Patricia Deppen, Reto Meuli, Kim Q Do, Michel Cuénod, Martin Hasler, Oscar De Feo, Maria G Knyazeva   +8 more
doaj   +3 more sources

The impact of EEG electrode density on the mapping of cortical activity networks in infants

NeuroImage
Objective: Electroencephalography (EEG) is widely used for assessing infant's brain activity, and multi-channel recordings support studies on functional cortical networks.
Amirreza Asayesh, Sampsa Vanhatalo, Anton Tokariev   +2 more
doaj   +2 more sources

Predicting Gains With Visuospatial Training After Stroke Using an EEG Measure of Frontoparietal Circuit Function

Frontiers in Neurology, 2018
The heterogeneity of stroke prompts the need for predictors of individual treatment response to rehabilitation therapies. We previously studied healthy subjects with EEG and identified a frontoparietal circuit in which activity predicted training-related
Robert J. Zhou, Hossein M. Hondori, Maryam Khademi, Jessica M. Cassidy, Katherine M. Wu, Derek Z. Yang, Nikhita Kathuria, Fareshte R. Erani, Lucy Dodakian, Alison McKenzie, Alison McKenzie, Cristina V. Lopes, Walt Scacchi, Ramesh Srinivasan, Ramesh Srinivasan, Steven C. Cramer, Steven C. Cramer, Steven C. Cramer   +17 more
doaj   +3 more sources

Functional connectivity in burnout syndrome: a resting-state EEG study

Frontiers in Human Neuroscience
Chronic occupational stress is associated with a pronounced decline in emotional and cognitive functioning. Studies on neural mechanisms indicate significant changes in brain activity and changed patterns of event-related potentials in burnout subjects ...
Natalia Afek, Dmytro Harmatiuk, Magda Gawłowska, João Miguel Alves Ferreira, Krystyna Golonka, Sergii Tukaiev, Sergii Tukaiev, Anton Popov, Anton Popov, Tadeusz Marek   +9 more
doaj   +3 more sources

Auditory EEG Biomarkers in Fragile X Syndrome: Clinical Relevance [PDF]

Frontiers in Integrative Neuroscience, 2019
Sensory hypersensitivities are common and distressing features of Fragile X Syndrome (FXS). While there are many drug interventions that reduce behavioral deficits in Fmr1 mice and efforts to translate these preclinical breakthroughs into clinical trials
Lauren E. Ethridge, Lauren E. Ethridge, Lisa A. De Stefano, Lauren M. Schmitt, Lauren M. Schmitt, Nicholas E. Woodruff, Kara L. Brown, Morgan Tran, Jun Wang, Ernest V. Pedapati, Ernest V. Pedapati, Ernest V. Pedapati, Craig A. Erickson, Craig A. Erickson, John A. Sweeney   +14 more
doaj   +2 more sources

Intensive Training Induces Longitudinal Changes in Meditation State-related EEG Oscillatory Activity [PDF]

Frontiers in Human Neuroscience, 2012
The capacity to focus one’s attention for an extended period of time can be increased through training in contemplative practices. However, the cognitive processes engaged during meditation that support trait changes in cognition are not well ...
Manish eSaggar, Brandon G King, Brandon G King, Anthony P Zanesco, Anthony P Zanesco, Katherine A MacLean, Stephen R Aichele, Stephen R Aichele, Tonya L Jacobs, David A Bridwell, Phillip R Shaver, Erika L Rosenberg, Baljinder K Sahdra, Emilio eFerrer, Akaysha C Tang, George R Mangun, George R Mangun, George R Mangun, B. Alan eWallace, Risto eMiikkulainen, Clifford D Saron, Clifford D Saron   +21 more
doaj   +2 more sources

Drivers’ Mental Engagement Analysis Using Multi-Sensor Fusion Approaches Based on Deep Convolutional Neural Networks

Sensors, 2023
In this paper, we present a comprehensive assessment of individuals’ mental engagement states during manual and autonomous driving scenarios using a driving simulator.
Taraneh Aminosharieh Najafi, Antonio Affanni, Roberto Rinaldo, Pamela Zontone   +3 more
doaj   +1 more source

Investigating social cognition in infants and adults using dense array electroencephalography ((d)EEG). [PDF]

Journal of visualized experiments : JoVE, 2011
Dense array electroencephalography ((d)EEG), which provides a non-invasive window for measuring brain activity and a temporal resolution unsurpassed by any other current brain imaging technology¹, ² is being used increasingly in the study of social cognitive functioning in infants and adults.
Akano, Adekemi J., Haley, David W., Dudek, Joanna   +2 more
openaire   +3 more sources