Results 31 to 40 of about 921,081 (288)

Disruption of brain connectivity in acute stroke patients with early impairment in consciousness

open access: yesFrontiers in Psychology, 2014
Impairment in consciousness is common in acute stroke patients and is correlated with the clinical outcome after stroke. The underlying mechanism is not completely understood, with little known about brain activity and connectivity changes in acute ...
Yuan-Hsiung eTsai   +6 more
doaj   +1 more source

Effects of Sub-threshold Transcutaneous Auricular Vagus Nerve Stimulation on Cingulate Cortex and Insula Resting-state Functional Connectivity

open access: yesFrontiers in Human Neuroscience, 2022
Transcutaneous auricular vagus nerve stimulation (taVNS), a non-invasive alternative to vagus nerve stimulation (VNS) with implantable devices, has shown promise in treating disorders such as depression, migraine, and insomnia. Studies of these disorders
Yixiang Mao   +10 more
doaj   +1 more source

Personality cannot be predicted from the power of resting state EEG [PDF]

open access: yes, 2014
In the present study we asked whether it is possible to decode personality traits from resting state EEG data. EEG was recorded from a large sample of subjects (N = 309) who had answered questionnaires measuring personality trait scores of the 5 ...
Allik, Jüri   +7 more
core   +2 more sources

Functional connectivity between the amygdala and subgenual cingulate gyrus predicts the antidepressant effects of ketamine in patients with treatment‐resistant depression

open access: yesNeuropsychopharmacology Reports, 2021
Aim Approximately one‐third of patients with major depressive disorder develop treatment‐resistant depression. One‐third of patients with treatment‐resistant depression demonstrate resistance to ketamine, which is a novel antidepressant effective for ...
Tomoyuki Nakamura   +7 more
doaj   +1 more source

Rapidly spreading seizures arise from large-scale functional brain networks in focal epilepsy

open access: yesNeuroImage, 2021
It remains unclear whether epileptogenic networks in focal epilepsy develop on physiological networks. This work aimed to explore the association between the rapid spread of ictal fast activity (IFA), a proposed biomarker for epileptogenic networks, and ...
Taira Uehara   +10 more
doaj   +1 more source

Rest-related dynamics of risk and protective factors for depression: a behavioral study [PDF]

open access: yes, 2013
Resting state provides an important condition to study depressogenic cognition because neuropsychological studies have indicated that rest is associated with heightened self-related processing.
De Raedt, Rudi   +2 more
core   +1 more source

Resting-State Cerebello-Cortical Dysfunction in Parkinson's Disease

open access: yesFrontiers in Neurology, 2021
Purpose: Recently, the cerebellum's role in Parkinson's disease (PD) has been highlighted. Therefore, this study sought to test the hypothesis that functional connectivity (FC) between cerebellar and cortical nodes of the resting-state networks ...
William C. Palmer   +7 more
doaj   +1 more source

Abnormal resting-state functional connectivity in progressive supranuclear palsy and corticobasal syndrome [PDF]

open access: yes, 2017
Background: Pathological and MRI-based evidence suggests that multiple brain structures are likely to be involved in functional disconnection between brain areas. Few studies have investigated resting-state functional connectivity (rsFC) in progressive
Berardelli, Alfredo   +9 more
core   +2 more sources

Resting-State fMRI

open access: yesThe Neuroscientist, 2014
Although brain plasticity is greatest in the first few years of life, the brain continues to be shaped by experience throughout adulthood. Advances in fMRI have enabled us to examine the plasticity of large-scale networks using blood oxygen level-dependent (BOLD) correlations measured at rest.
Guerra-Carrillo, Belén   +2 more
openaire   +5 more sources

Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices

open access: yesFrontiers in Human Neuroscience, 2012
Parallel Independent Component Analysis (para-ICA) is a multivariate method that can identify complex relationships between different data modalities by simultaneously performing Independent Component Analysis on each data set while finding mutual ...
Timothy eMeier   +19 more
doaj   +1 more source

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