Decoding visual colour from scalp electroencephalography measurements by Hajonides, J, Nobre, AC, Van Ede, F, Stokes, M

Human Scalp Electroencephalography Reveals that Repetition Suppression Varies with Expectation. by Summerfield, C, Wyart, V, Johnen, V, de Gardelle, V

“…Here, we recorded scalp electroencephalography from human participants viewing pairs of faces that repeated (face(1)-face(1)) or alternated (face(1)-face(2)), in contexts in which repetitions were expected or unexpected. …”

General anaesthesia as fragmentation of selfhood: insights from electroencephalography and neuroimaging by Sleigh, J, Warnaby, C, Tracey, I

How useful is electroencephalography in the diagnosis of autism spectrum disorders and the delineation of subtypes: A systematic review. by Gurau, O, Bosl, W, Newton, C

“…Research in network science and time series analysis suggests that neural network structure, a marker of neural activity, can be measured with electroencephalography (EEG). EEG can be quantified by different methods of analysis to potentially detect brain abnormalities. …”

Subsecond changes in top down control exerted by human medial frontal cortex during conflict and action selection: a combined transcranial magnetic stimulation electroencephalography study. by Taylor, P, Nobre, A, Rushworth, M

Anesthesia-induced suppression of human dorsal anterior insula responsivity at loss of volitional behavioral response by Warnaby, C, Seretny, M, Ní Mhuircheartaigh, R, Rogers, R, Jbabdi, S, Sleigh, J, Tracey, I

“…</p> <p><strong>Methods</strong> During both simultaneous electroencephalography and functional magnetic resonance imaging (FMRI) and electroencephalography data acquisition, 15 healthy volunteers experienced an ultraslow induction with propofol anesthesia while a paradigm of multisensory stimulation (i.e., auditory tones, words, and noxious pain stimuli) was presented. …”

New Therapeutics in Alzheimer’s Disease longitudinal cohort study (NTAD): study protocol by Lanskey, JH, Kocagoncu, E, Quinn, AJ, Cheng, Y-J, Karadag, M, Pitt, J, Lowe, S, Perkinton, M, Raymont, V, Singh, KD, Woolrich, M, Nobre, AC, Henson, RN, Rowe, JB

“…Measurements of the clinical, cognitive and imaging data (magnetoencephalography, electroencephalography and MRI) of all participants will be taken at baseline. …”

DYNAMIC IMAGING OF COGNITIVE IMPAIRMENT IN NICOTINE-DEPRIVED SUBJECTS USING SIMULTANEOUS EEG/FMRI by Long, C, Cole, D, Durcan, M, Matthews, P, Beaver, J, IEEE

“…Imaging experiments involving combined Electroencephalography (EEG) and functional MRI (fMRI) acquisitions are becoming increasingly popular primarily because of their ability to offer complementary information about the underlying mechanisms of brain function. …”

From basic sciences and engineering to epileptology: a translational approach by Bou Assi, E, Schindler, K, de Bézenac, C, Denison, T, Desai, S, Keller, SS, Lemoine, É, Rahimi, A, Shoaran, M, Rummel, C

“…In this article, we summarize the recent advances presented at the&nbsp;<em>International Conference for Technology and Analysis of Seizures</em>&nbsp;(ICTALS 2022): (1) novel developments of structural magnetic resonance imaging; (2) latest electroencephalography signal-processing applications; (3) big data for the development of clinical tools; (4) the emerging field of hyperdimensional computing; (5) the new generation of artificial intelligence (AI)&ndash;enabled neuroprostheses; and (6) the use of collaborative platforms to facilitate epilepsy research translation. …”

Fatigue in the chronic fatigue syndrome: a cognitive phenomenon? by Fry, A, Martin, M

“…In addition, current technological methods such as electroencephalography have failed to uncover the nature of any abnormality in the central motor unit. …”

Automated sleep classification with chronic neural implants in freely behaving canines by Mivalt, F, Sladky, V, Worrell, S, Gregg, NM, Balzekas, I, Kim, I, Chang, S-Y, Montonye, DR, Duque-Lopez, A, Krakorova, M, Pridalova, T, Lepkova, K, Brinkmann, BH, Miller, KJ, Van Gompel, JJ, Denison, T, Kaufmann, TJ, Messina, SA, St Louis, EK, Kremen, V, Worrell, GA

“…</strong> Long-term intracranial electroencephalography (iEEG) in freely behaving animals provides valuable electrophysiological information and when correlated with animal behavior is useful for investigating brain function. …”

Imaging as a biomarker in drug discovery for Alzheimer's disease: is MRI a suitable technology? by Merlo Pich, E, Jeromin, A, Frisoni, G, Hill, D, Lockhart, A, Schmidt, M, Turner, M, Mondello, S, Potter, W

“…It was agreed also that MRI implementation is in its infancy, requiring more evidence of association with the disease states, test-retest data, better standardization across multiple clinical sites, and application in multimodal approaches which include other imaging technologies, such as positron emission tomography, electroencephalography, and magnetoencephalography.…”

Rapid invisible frequency tagging (RIFT): a promising technique to study neural and cognitive processing using naturalistic paradigms by Seijdel, N, Marshall, TR, Drijvers, L

“…Frequency tagging has been successfully used to investigate selective stimulus processing in electroencephalography (EEG) or magnetoencephalography (MEG) studies. …”

Neurophysiological measures of nociceptive brain activity in the newborn infant--the next steps. by Hartley, C, Slater, R

“…In recent years, several studies have examined cortical responses to noxious stimuli in the neonate through the use of near-infrared spectroscopy (NIRS) and electroencephalography (EEG). These investigations dispel any notion that the newborn infant does not process noxious stimuli at a cortical level and open the way for future research. …”

Identifiability of Generalized Randles Circuit Models by Alavi, SMM, Mahdi, A, Payne, SJ, Howey, DA

“…The Randles circuit (including a parallel resistor and capacitor in series with another resistor) and its generalized topology have widely been employed in electrochemical energy storage systems, such as batteries, fuel cells, and supercapacitors, also in biomedical engineering, for example, to model the electrode–tissue interface in electroencephalography and baroreceptor dynamics. This paper studies identifiability of generalized Randles circuit models, that is, whether the model parameters can be estimated uniquely from the input–output data. …”

Decoding the influence of anticipatory states on visual perception in the presence of temporal distractors by Van Ede, F, Chekroud, S, Stokes, M, Nobre, A

“…Here we combine electroencephalography recordings in humans with multivariate stimulus decoding to address whether anticipation also increases the amount of target identity information contained in these responses, and to ask how targets are prioritised over distractors when these compete in time. …”

Acute onset of focal seizures, psychiatric features and confusion: a case of autoimmune encephalitis? by Al-Diwani, A, Butterworth, R, Nibber, A, Lang, B, Vincent, A, Irani, SR

“…The following investigations were normal: interictal electroencephalography, brain MRI, cerebrospinal fluid viral PCR and cell count and voltage-gated potassium channel-complex, N-methyl-d-aspartate receptor, gamma-aminobutyric acid (B) receptor, α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor, glycine receptor, glutamic acid decarboxylase and paraneoplastic antibodies. …”

Decoding an individual's sensitivity to pain from the multivariate analysis of EEG data by Schulz, E, Zherdin, A, Tiemann, L, Plant, C, Ploner, M

“…We repeatedly applied identical painful stimuli to healthy human subjects and recorded brain activity by using electroencephalography (EEG). We applied a multivariate pattern analysis to the time-frequency transformed single-trial EEG responses. …”

Auditory-motor processing of speech sounds. by Möttönen, R, Dutton, R, Watkins, K

“…Here, we aimed to determine whether the articulatory motor cortex affects the auditory mechanisms underlying discrimination of speech sounds in the absence of demanding speech tasks. Using electroencephalography, we recorded responses to changes in sound sequences, while participants watched a silent video. …”

Free energy, precision and learning: the role of cholinergic neuromodulation. by Moran, R, Campo, P, Symmonds, M, Stephan, K, Dolan, R, Friston, K

“…This study combined computational simulations and pharmaco-electroencephalography in humans, to test a formulation of perceptual inference based upon the free energy principle. …”