The impact of ultra-high field MRI on cognitive and computational neuroimaging
The ability to measure functional brain responses non-invasively with ultra high field MRI (7
T and above) represents a unique opportunity in advancing our understanding of the human …
T and above) represents a unique opportunity in advancing our understanding of the human …
The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review
Abstract Functional Magnetic Resonance Imaging (fMRI) is presently one of the most
popular techniques for analysing the dynamic states in brain images using various kinds of …
popular techniques for analysing the dynamic states in brain images using various kinds of …
Decoding actions at different levels of abstraction
Brain regions that mediate action understanding must contain representations that are
action specific and at the same time tolerate a wide range of perceptual variance. Whereas …
action specific and at the same time tolerate a wide range of perceptual variance. Whereas …
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors
Abstracts Brain functional connectivity features can predict cognition and behavior at the
level of the individual. Most studies measure univariate signals, correlating timecourses from …
level of the individual. Most studies measure univariate signals, correlating timecourses from …
The dorsal attention network reflects both encoding load and top–down control during working memory
The dorsal attention network is consistently involved in verbal and visual working memory
(WM) tasks and has been associated with task-related, top–down control of attention. At the …
(WM) tasks and has been associated with task-related, top–down control of attention. At the …
Use of common average reference and large-Laplacian spatial-filters enhances EEG signal-to-noise ratios in intrinsic sensorimotor activity
S Tsuchimoto, S Shibusawa, S Iwama… - Journal of neuroscience …, 2021 - Elsevier
Background Oscillations in the resting-state scalp electroencephalogram (EEG) represent
various intrinsic brain activities. One of the characteristic EEG oscillations is the …
various intrinsic brain activities. One of the characteristic EEG oscillations is the …
Identity prediction errors in the human midbrain update reward-identity expectations in the orbitofrontal cortex
There is general consensus that dopaminergic midbrain neurons signal reward prediction
errors, computed as the difference between expected and received reward value. However …
errors, computed as the difference between expected and received reward value. However …
Learning about safety: Conditioned inhibition as a novel approach to fear reduction targeting the developing brain
P Odriozola, DG Gee - American journal of psychiatry, 2021 - Am Psychiatric Assoc
Adolescence is a peak time for the onset of psychiatric disorders, with anxiety disorders
being the most common and affecting as many as 30% of youths. A core feature of anxiety …
being the most common and affecting as many as 30% of youths. A core feature of anxiety …
Dopamine neuron ensembles signal the content of sensory prediction errors
TA Stalnaker, JD Howard, YK Takahashi, SJ Gershman… - Elife, 2019 - elifesciences.org
Dopamine neurons respond to errors in predicting value-neutral sensory information. These
data, combined with causal evidence that dopamine transients support sensory-based …
data, combined with causal evidence that dopamine transients support sensory-based …
Individualized prediction of reading comprehension ability using gray matter volume
Reading comprehension is a crucial reading skill for learning and putatively contains 2 key
components: reading decoding and linguistic comprehension. Current understanding of the …
components: reading decoding and linguistic comprehension. Current understanding of the …