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Sökning: WFRF:(Wahlund LO)

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53.
  • Dierks, T, et al. (författare)
  • Editorial
  • 2020
  • Ingår i: Psychiatry research. Neuroimaging. - : Elsevier BV. - 1872-7506 .- 0925-4927. ; 306, s. 111175-
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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54.
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55.
  • Dierks, T, et al. (författare)
  • Quantitative EEG in Alzheimer's disease
  • 2002
  • Ingår i: NEUROBIOLOGY OF AGING. - 0197-4580. ; 23:1, s. S562-S562
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)
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57.
  • Enache, D, et al. (författare)
  • Medial temporal lobe atrophy and depressive symptoms in elderly patients with and without Alzheimer disease
  • 2015
  • Ingår i: Journal of geriatric psychiatry and neurology. - : SAGE Publications. - 0891-9887 .- 1552-5708. ; 28:1, s. 40-48
  • Tidskriftsartikel (refereegranskat)abstract
    • To determine whether depressive symptoms are associated with medial temporal lobe atrophy in older people with and without Alzheimer disease (AD).Method:A total of 368 memory clinic patients with AD, mild cognitive impairment, and subjective cognitive impairment (SCI) were included. Depressive symptoms were defined as a score of 8 or higher on Cornell Scale for Depression in Dementia or use of antidepressant medications. Magnetic resonance imaging and computer tomography scans were rated for medial temporal lobe atrophy (MTA), using the Scheltens scale. For a subsample (n = 57 patients), hippocampal volume was manually traced.Results:Based on visual assessment, AD patients with depressive symptoms had less atrophy of the right medial temporal lobe (odds ratio [OR] for having MTA: 0.39; 95% confidence interval [CI] 0.16-0.99) and decreased scores on Scheltens scale for the left medial temporal lobe (OR: 0.43, 95% CI 0.19-0.96) in comparison to AD patients without depressive symptoms. In the subgroup where manual tracing was used to measure hippocampal volume, people with SCI experiencing depressive symptoms had smaller right (mean difference: 0.28 cm3; P = .005) and left (mean difference 0.32 cm3; P = .002) hippocampal volumes compared to people with SCI who did not have depressive symptoms.Conclusion:Hippocampal atrophy was more pronounced among patients having SCI with depressive symptoms, while the medial temporal lobe was less atrophic in patients having AD with depressive symptoms than those without depressive symptoms. These findings suggest that different mechanisms underlie depression in older people with and without AD and may explain some of the inconsistent observations in previous studies.
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58.
  • Engedal, K, et al. (författare)
  • Quantitative EEG Applying the Statistical Recognition Pattern Method: A Useful Tool in Dementia Diagnostic Workup
  • 2015
  • Ingår i: Dementia and geriatric cognitive disorders. - : S. Karger AG. - 1421-9824 .- 1420-8008. ; 40:1-2, s. 1-12
  • Tidskriftsartikel (refereegranskat)abstract
    • <b><i>Background/Aim:</i></b> The aim of this study was to examine the discriminatory power of quantitative EEG (qEEG) applying the statistical pattern recognition (SPR) method to separate Alzheimer's disease (AD) patients from elderly individuals without dementia and from other dementia patients. <b><i>Methods:</i></b> The participants were recruited from 6 Nordic memory clinics: 372 unselected patients [mean age 71.7 years (SD 8.6), 54% women] and 146 healthy elderly individuals [mean age 66.5 years (SD 7.7), 60% women]. After a standardized and comprehensive assessment, clinical diagnoses were made according to internationally accepted criteria by at least 2 clinicians. EEGs were recorded in a standardized way and analyzed independently of the clinical diagnoses, using the SPR method. <b><i>Results:</i></b> In receiver operating characteristic curve analyses, the qEEGs separated AD patients from healthy elderly individuals with an area under the curve (AUC) of 0.90, representing a sensitivity of 84% and a specificity of 81%. The qEEGs further separated patients with Lewy body dementia or Parkinson's disease dementia from AD patients with an AUC of 0.9, a sensitivity of 85% and a specificity of 87%. <b><i>Conclusion:</i></b> qEEG using the SPR method could be a useful tool in dementia diagnostic workup.
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59.
  • Engedal, K, et al. (författare)
  • The Power of EEG to Predict Conversion from Mild Cognitive Impairment and Subjective Cognitive Decline to Dementia
  • 2020
  • Ingår i: Dementia and geriatric cognitive disorders. - : S. Karger AG. - 1421-9824 .- 1420-8008. ; 49:1, s. 38-47
  • Tidskriftsartikel (refereegranskat)abstract
    • <b><i>Introduction:</i></b> The aim of this study was to examine if quantitative electroencephalography (qEEG) using the statistical pattern recognition (SPR) method could predict conversion to dementia in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). <b><i>Methods:</i></b> From 5 Nordic memory clinics, we included 47 SCD patients, 99 MCI patients, and 67 healthy controls. EEGs analyzed with the SPR method together with clinical data recorded at baseline were evaluated. The patients were followed up for a mean of 62.5 (SD 17.6) months and reexamined. <b><i>Results:</i></b> Of 200 participants with valid clinical information, 70 had converted to dementia, and 52 had developed Alzheimer’s disease. Receiver-operating characteristic analysis of the EEG results as defined by a dementia index (DI) ranging from 0 to 100 revealed that the area under the curve was 0.78 (95% CI 0.70–0.85), corresponding to a sensitivity of 71%, specificity of 69%, and accuracy of 69%. A logistic regression analysis showed that by adding results of a cognitive test at baseline to the EEG DI, accuracy could improve. <b><i>Conclusion:</i></b> We conclude that applying qEEG using the automated SPR method can be helpful in identifying patients with SCD and MCI that have a high risk of converting to dementia over a 5-year period. As the discriminant power of the method is of moderate degree, it should be used in addition to routine diagnostic methods.
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