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Effects of modified electroconvulsive therapy on the electroencephalogram of schizophrenia patients

Overview of attention for article published in SpringerPlus, July 2016
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22 Mendeley
Title
Effects of modified electroconvulsive therapy on the electroencephalogram of schizophrenia patients
Published in
SpringerPlus, July 2016
DOI 10.1186/s40064-016-2747-7
Pubmed ID
Authors

Ling Zhao, Yansheng Jiang, Hongxing Zhang

Abstract

This study aimed to investigate the modified electroconvulsive therapy (MECT) on the electroencephalogram (EEG) of schizophrenia patients. A total of 26 schizophrenia patients who received MECT were recruited. EEG recording was initiated at 30 min before 1st and 6th MECT and terminated on the 2nd day. Images without artifacts were selected for the analysis of δ, θ, α1, α2 and β bands. The wave energy at each frequency, index of waves at different bands from the same lead, index of waves at the same band from different leads, time of epileptic discharge, time of resting state, and time to the stable EEG were determined and compared. The energy of slow waves increased. α waves reduced, but θ waves increased in the frontotemporal area. The index of θ waves increased. After resting state, brainwaves first occurred in the frontal area. Significant difference was observed in the time to waves returning to normal (P = 0.05). After MECT, the θ waves in the same lead increases, and its energy also elevates; α wave in the frontotemporal area reduces; there is transient reduction in cerebral function during MECT. After electric resting state, brainwaves mainly occur in the frontal area, and the time to brainwaves returning to normal reduces over time after MECT.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Other 4 18%
Researcher 3 14%
Professor > Associate Professor 2 9%
Student > Master 2 9%
Student > Doctoral Student 1 5%
Other 3 14%
Unknown 7 32%
Readers by discipline Count As %
Medicine and Dentistry 6 27%
Agricultural and Biological Sciences 3 14%
Nursing and Health Professions 2 9%
Neuroscience 2 9%
Psychology 1 5%
Other 0 0%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 July 2016.
All research outputs
#14,856,861
of 22,880,691 outputs
Outputs from SpringerPlus
#838
of 1,851 outputs
Outputs of similar age
#216,215
of 354,439 outputs
Outputs of similar age from SpringerPlus
#108
of 231 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,851 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,439 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.