Results 71 to 80 of about 116,293 (248)
Resting-State Functional Connectivity in Mathematical Expertise
Brain Sciences, 2021 To what extent are different levels of expertise reflected in the functional connectivity of the brain? We addressed this question by using resting-state functional magnetic resonance imaging (fMRI) in mathematicians versus non-mathematicians.
Miseon Shim +3 more
doaj +1 more source
, 2018 We propose a matrix factorization technique that decomposes the resting state fMRI (rs-fMRI) correlation matrices for a patient population into a sparse set of representative subnetworks, as modeled by rank one outer products.
A Venkataraman +8 more
core +1 more source
On the generalizability of resting-state fMRI machine learning classifiers [PDF]
Frontiers in Human Neuroscience, 2014 Machine learning classifiers have become increasingly popular tools to generate single-subject inferences from fMRI data. With this transition from the traditional group level difference investigations to single-subject inference, the application of machine learning methods can be seen as a considerable step forward.
Wolfgang eHuf +15 more
openaire +3 more sources
Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array
Advanced Materials, EarlyView.This study presents a hardware physical reservoir computing system using a tri‐modal memristive crossbar array. Stochastic masking, bistable nonlinear activation, and analog readout enable fully in‐memory spatiotemporal processing. Demonstrations on cellular automata, Lorenz prediction, ADHD EEG classification, and chaotic KS modeling highlight its ...
Sungho Kim +10 more
wiley +1 more source
Optimization of scan time for resting ⁃state fMRI in clinical application
Chinese Journal of Contemporary Neurology and Neurosurgery, 2011 Objective To study the optimization of scan time for resting⁃state functional magnetic resonance imaging (fMRI) in clinical application. Methods Fractional amplitude of low ⁃ frequency fluctuation (fALFF) was performed to analyse the resting ⁃ state fMRI
Cheng ZHAO +5 more
doaj
Brain Sciences, 2020 Differences in the functional integrity of the brain from acute severe brain injury to subsequent recovery of consciousness have not been well documented.
Karnig Kazazian +4 more
doaj +1 more source
Resting state fMRI: A personal history
NeuroImage, 2012 The goal of this review is to describe, from a personal perspective, the development and emergence of the resting state fMRI. In particular, various concepts derived from the resting state data are discussed in detail, including connectivity, amplitude of the fluctuations, analysis techniques, and use in clinical populations.
openaire +3 more sources
An open database of resting-state fMRI in awake rats [PDF]
NeuroImage, 2019 AbstractRodent models are essential to translational research in health and disease. Investigation in rodent brain function and organization at the systems level using resting-state functional magnetic resonance imaging (rsfMRI) has become increasingly popular, owing to its high spatial resolution and whole-brain coverage.
Liu, Yikang +7 more
openaire +4 more sources
Advanced Sensor Research, EarlyView.Sports‐related traumatic brain injuries (TBIs) remain underdiagnosed, within amateur athletic cohorts. This review critically synthesises recent advancements in AI‐assisted neuroimaging, blood‐based biomarker profiling, wearable biosensing platforms for early detection, injury stratification, and longitudinal surveillance of TBIs.
Daniel Nicol +3 more
wiley +1 more source
NeuroImage, 2022 Relating brain dynamics acting on time scales that differ by at least an order of magnitude is a fundamental issue in brain research. The same is true for the observation of stable dynamical structures in otherwise highly non-stationary signals.
J. Daniel Arzate-Mena +8 more
doaj +1 more source