Maria G Knyazeva
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Explore the profile of Maria G Knyazeva including associated specialties, affiliations and a list of published articles.
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Articles
32
Citations
734
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Recent Articles
1.
Innocenti G, Schmidt K, Milleret C, Fabri M, Knyazeva M, Battaglia-Mayer A, et al.
Prog Neurobiol
. 2021 Nov;
208:102186.
PMID: 34780864
The brain operates through the synaptic interaction of distant neurons within flexible, often heterogeneous, distributed systems. Histological studies have detailed the connections between distant neurons, but their functional characterization deserves...
2.
Knyazeva M, Barzegaran E, Vildavski V, Demonet J
Neurobiol Aging
. 2018 Jun;
69:261-273.
PMID: 29920435
Alpha rhythm (AR) changes are the most pronounced electroencephalogram phenomenon in the aging brain. We analyzed them based on the inherent AR structure obtained by parallel factor analysis decomposition in...
3.
Barzegaran E, Vildavski V, Knyazeva M
Sci Rep
. 2018 Apr;
8(1):6776.
PMID: 29692424
A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.
4.
Barzegaran E, Vildavski V, Knyazeva M
Sci Rep
. 2017 Aug;
7(1):8249.
PMID: 28811538
Heterogeneity of the posterior alpha rhythm (AR) is a widely assumed but rarely tested phenomenon. We decomposed the posterior AR in the cortical source space with a 3-way PARAFAC technique,...
5.
Barzegaran E, Knyazeva M
PLoS One
. 2017 Jul;
12(7):e0181105.
PMID: 28727750
Functional connectivity (FC) is among the most informative features derived from EEG. However, the most straightforward sensor-space analysis of FC is unreliable owing to volume conductance effects. An alternative-source-space analysis...
6.
Barzegaran E, Van Damme B, Meuli R, Knyazeva M
Neurobiol Aging
. 2016 Jun;
43:129-39.
PMID: 27255822
To characterize the effects of Alzheimer's disease (AD) on cortical functional connectivity in perception, we analyzed interhemispheric lagged synchronization (ILS) in the source space of high-density EEG recorded in aged...
7.
Barzegaran E, Carmeli C, Rossetti A, Frackowiak R, Knyazeva M
J Neurol Neurosurg Psychiatry
. 2015 Apr;
87(3):332-7.
PMID: 25855401
Background: Psychogenic non-epileptic seizures (PNES) are involuntary paroxysmal events that are unaccompanied by epileptiform EEG discharges. We hypothesised that PNES are a disorder of distributed brain networks resulting from their...
8.
Carmeli C, Fornari E, Jalili M, Meuli R, Knyazeva M
Brain Behav
. 2014 Oct;
4(5):721-37.
PMID: 25328848
Introduction: Interindividual variations in regional structural properties covary across the brain, thus forming networks that change as a result of aging and accompanying neurological conditions. The alterations of superficial white...
9.
Fornari E, Rytsar R, Knyazeva M
Neurol Sci
. 2014 May;
35 Suppl 1:215-24.
PMID: 24867869
In humans, spatial integration develops slowly, continuing through childhood into adolescence. On the assumption that this protracted course depends on the formation of networks with slowly developing top-down connections, we...
10.
Jalili M, Barzegaran E, Knyazeva M
IEEE Trans Neural Syst Rehabil Eng
. 2013 Nov;
22(2):212-21.
PMID: 24216751
Synchronization behavior of electroencephalographic (EEG) signals is important for decoding information processing in the human brain. Modern multichannel EEG allows a transition from traditional measurements of synchronization in pairs of...