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Resting-State Networks in Schizophrenia

Current Topics in Medicinal Chemistry, 2012
Schizophrenia has been conceptualized as a disorder of altered brain connectivity (i.e. dysconnectivity). Until relatively recently, it was not feasible to test dysconnectivity hypotheses of schizophrenia in vivo. Resting-state functional magnetic resonance imaging (fMRI) is a powerful tool for mapping functional networks of the brain, such as the ...
H, Karbasforoushan, N D, Woodward
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Is Rest Really Rest? Resting-State Functional Connectivity During Rest and Motor Task Paradigms

Brain Connectivity, 2018
Numerous studies have identified several large-scale networks within the brain of healthy individuals, some of which have been attributed to ongoing mental activity during the wakeful resting state. While engaged during specific resting-state functional magnetic resonance imaging (fMRI) paradigms, it remains unclear as to whether traditional block ...
Michael T. Jurkiewicz   +2 more
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RESTler: Stateful REST API Fuzzing

2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE), 2019
This paper introduces RESTler, the first stateful REST API fuzzer. RESTler analyzes the API specification of a cloud service and generates sequences of requests that automatically test the service through its API. RESTler generates test sequences by (1) inferring producer-consumer dependencies among request types declared in the specification (e.g ...
Vaggelis Atlidakis   +2 more
openaire   +1 more source

Resting-State Networks

2015
Item does not contain ...
Niazy, R.K.   +3 more
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Resting-State-fMRT

2013
Das folgende Kapitel soll eine Einfuhrung in die funktionelle MRT wahrend des Ruhezustandes des Gehirns (»resting state«) geben, d. h. von bildgebenden fMRT-Untersuchungen, die in Abwesenheit externer Reize oder ohne explizite Aufgaben durchgefuhrt und daher auch bei Kindern und Patienten angewendet werden konnen.
Grodd, W., Beckmann, C.
openaire   +2 more sources

3D-CNN based discrimination of schizophrenia using resting-state fMRI

Artif. Intell. Medicine, 2019
MOTIVATION This study reports a framework to discriminate patients with schizophrenia and normal healthy control subjects, based on magnetic resonance imaging (MRI) of the brain. Resting-state functional MRI data from a total of 144 subjects (72 patients
Muhammad Naveed Iqbal Qureshi   +2 more
semanticscholar   +1 more source

Caffeine effects on resting-state arousal

Clinical Neurophysiology, 2005
This study examined the use of caffeine to manipulate arousal level without the confounds associated with task-related activation. From previous work in our laboratory, an increase in skin conductance level (SCL) and EEG alpha frequency, together with a global decrease in alpha power, were used as markers of arousal increase, and we sought to identify ...
Barry, R. J.   +5 more
openaire   +3 more sources

DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging

Neuroinformatics, 2016
Chaogan Yan, Xindi Wang, X. Zuo, Y. Zang
semanticscholar   +1 more source

Faculty Opinions recommendation of Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature, 2020
Alfredo Berardelli, Daniele Belvisi
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Resting-State Dysphoria

Biological Psychiatry, 2020
Hanna Keren   +3 more
openaire   +1 more source

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