| 1. |
- Lycke Brandt, Christine, et al.
(författare)
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Working memory networks and activation patterns in schizophrenia and bipolar disorder : comparison with healthy controls
- 2014
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Ingår i: British Journal of Psychiatry. - 0007-1250 .- 1472-1465. ; 204:4, s. 290-298
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Schizophrenia and bipolar disorder are severe mental disorders with overlapping genetic and clinical characteristics, including cognitive impairments. An important question is whether these disorders also have overlapping neuronal deficits.AIMS: To determine whether large-scale brain networks associated with working memory, as measured with functional magnetic resonance imaging (fMRI), are the same in both schizophrenia and bipolar disorder, and how they differ from those in healthy individuals.METHOD: Patients with schizophrenia (n = 100) and bipolar disorder (n = 100) and a healthy control group (n = 100) performed a 2-back working memory task while fMRI data were acquired. The imaging data were analysed using independent component analysis to extract large-scale networks of task-related activations.RESULTS: Similar working memory networks were activated in all groups. However, in three out of nine networks related to the experimental task there was a graded response difference in fMRI signal amplitudes, where patients with schizophrenia showed greater activation than those with bipolar disorder, who in turn showed more activation than healthy controls. Secondary analysis of the patient groups showed that these activation patterns were associated with history of psychosis and current elevated mood in bipolar disorder.CONCLUSIONS: The same brain networks were related to working memory in schizophrenia, bipolar disorder and controls. However, some key networks showed a graded hyperactivation in the two patient groups, in line with a continuum of neuronal abnormalities across psychotic disorders.
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| 2. |
- Schmitt, F. C., et al.
(författare)
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Standardisierter Computer-basiert- o rganisierter Report des EEG (SCORE) - Eine strukturierende Form der EEG-Befundung
- 2018
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Ingår i: Klinische Neurophysiologie. - : Georg Thieme Verlag KG. - 1434-0275 .- 1439-4081. ; 49:2, s. 1-18
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Tidskriftsartikel (refereegranskat)abstract
- A taskforce formed in 2013 by the International Federation of Clinical Neurophysiology developed an EEG terminology with international consensus. In the following, the result - the second version of Standardized Computer-based Organized Reporting of EEG (SCORE) will be summarised. The terminology was tested in clinical practice using a software package (SCORE-EEG) applied to over 12,000 EEGs. The selection of terms is context-dependent: the initial selection determines which further options are available. A report is automatically generated and individual features are fed into a database. SCORE contains specialised modules for reporting on epileptic seizures, as well as for characteristic neonatal and intensive care EEG features. SCORE is a useful tool not only for outpatient, clinical and research settings, but also for quality control, data sharing and education.
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| 3. |
- Beniczky, Sándor, et al.
(författare)
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Standardized computer-based organized reporting of EEG : SCORE - Second version
- 2017
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Ingår i: Clinical Neurophysiology. - : Elsevier BV. - 1388-2457. ; 128:11, s. 2334-2346
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Tidskriftsartikel (refereegranskat)abstract
- Standardized terminology for computer-based assessment and reporting of EEG has been previously developed in Europe. The International Federation of Clinical Neurophysiology established a taskforce in 2013 to develop this further, and to reach international consensus. This work resulted in the second, revised version of SCORE (Standardized Computer-based Organized Reporting of EEG), which is presented in this paper. The revised terminology was implemented in a software package (SCORE EEG), which was tested in clinical practice on 12,160 EEG recordings. Standardized terms implemented in SCORE are used to report the features of clinical relevance, extracted while assessing the EEGs. Selection of the terms is context sensitive: initial choices determine the subsequently presented sets of additional choices. This process automatically generates a report and feeds these features into a database. In the end, the diagnostic significance is scored, using a standardized list of terms. SCORE has specific modules for scoring seizures (including seizure semiology and ictal EEG patterns), neonatal recordings (including features specific for this age group), and for Critical Care EEG Terminology. SCORE is a useful clinical tool, with potential impact on clinical care, quality assurance, data-sharing, research and education.
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