Dementia Papers

Ethics

  • The practice of obtaining approval from medical research ethics committees: a comparison within 12 European countries for a descriptive study on acetylcholinesterase inhibitors in Alzheimer's dementia
    M. G. M. Olde Rikkert, S. Lauque, L. Frolich, B. Vellas, W. Dekkers
    European Journal of Neurology, Vol. 12 Issue 3 Page 212 March 2005
     
    Abstract: Across Europe the protection of research subjects with dementia has to meet a variety of national legislation and ethical codes. This research project compared how in different EU countries one single descriptive multinational study on dementia treatment strategies was evaluated by medical ethical committees and how the issues of informed consent and capacity to consent were dealt with. The study that was evaluated is the ICTUS study, which studies the impact of treatment with acetylcholinesterase inhibitors (AChE-I) on Europeans with mildly or moderately severe Alzheimer's disease (AD). Participating centres in all 12 countries that take part in the study received a questionnaire with items on the process of approval by the ethical committee and the informed consent procedure. From the 29 centres we received 21 completed questionnaires (response rate of 72%). There were great differences in valuation of the study, varying from the judgement that the ICTUS study was 'no experimental study' to the judgement that it was a phase IV drug trial. All centres got approval, after 3-90 days. Informed consent was addressed very differently by the researchers. There was no formal informed consent procedure required by the ethical committees. The data from this survey suggest that there should be more consensus across the EU about which studies or interventions do and which do not require approval of an ethics committee. Procedures for the assessment of informed consent in dementia research should be harmonized by central national or European bodies.

New

  • An ontology-based context model in monitoring and handling agitation behaviour for persons with dementia
    Foo, S.F.V., Biswas, J., Maniyeri, J., Tay, S.C., Zhang, D.
    IEEE Pervasive Computing and Communications Pisa, Italy., Mar. 13-17, 2006.,
     

  • Application to EEG Analysis
    http://www.math.uni-luebeck.de/keller/Application_to_EEG_Analysis.html 
     

  • Distinguishing Normal Aging From Early Stage Alzheimer’s Disease and Related Disorders: EEG Variance Techniques
    Sneddon R (    University of California at Irvine, Irvine, California, USA)
    [PDF]

    Objective: We hypothesized that a quantitative EEG (qEEG) method for measuring EEG variability may quantify information which could improve the classification accuracy of subjects with normal aging vs. mild cognitive impairment (MCI) or mild dementia due to Alzheimer’s Disease and Related Disorders (ADRD). In this context, EEG variability corresponds directly to the Fisher information statistic (1959), which showed that the variability of a data set is related to the information it contains.
    Sample: The cross-sectional sample consisted of 48 subjects (32 normal aging and 16 ADRD: n=3 mild dementia, n=13 MCI FAST stage 3).
    Methods: During EEG recording, subjects performed two visual delayed recognition tasks. These EEG data were used to compute qEEG measures of the variance of posterior cortical activity during the first 150 milliseconds (ms) after stimulus onset, and the variance of anterior cortical activity during the second 150 ms epoch. The ratio, anterior/posterior cerebral qEEG value, was then computed for each subject, and the optimal cutoff value identified to discriminate normal from impaired subjects.
    Results: A qEEG cutoff ratio of 1.00 correctly discriminated 30 of the 32 normal aging subjects (94% specificity) and 14 of 16 MCI-to-mild ADRD subjects (88% sensitivity). Both false negatives had recently begun cholinesterase inhibitor treatment, which normalized their memory test scores. Both false positives were volunteers for the normal aging group but found to have non-progressive cognitive impairment.
    Conclusion: These initial results are comparable to the accuracies reported by PET scan studies of normal aging vs. AD with mild cognitive impairment and warrant further evaluation.
     

  • Neural networks for longitudinal studies in Alzheimer’s disease
    Reeti Tandon, Sudeshna Adak and Jeffrey A. Kaye
    Artificial Intelligence in Medicine Volume 36, Issue 3 , March 2006, Pages 245-255
    http://dx.doi.org/10.1016/j.artmed.2005.10.007 
     
  • Altered Patterns of Positron-Emission Tomography Glucose Metabolism in Alzheimer Patients with Microvascular White Matter Disease
    Mony J. De Leon, Ajax E. George, Jeffrey D. Miller, et al.
    American Journal of Physiologic Imaging (vol. 3: 1988, pp. 52-53
     
  • Diagnosis and Assessment of Dementia using Functional Brain Imaging
    Andrew F. Leuchter and Donald O. Walter
    International Psychogeriatrics (vol. 1: 1, 1989, pp. 63-72).
     
  • Computerized Electroencephalography in the Evaluation of Early Dementia
    Sheldon E. Jordan, Ralph Nowacki, and Marc Nuwer
    Brain Topography, vol. 1: 4, 1989, pp. 271-282
     
  • Computerized EEG Frequency Analysis: Sensitivity and Specificity in Patients with Focal Lesions
    Barry S. Oken, M.D., Keith H. Chiappa, and Martin Salinsky
    Neurology, vol. 39: Oct., 1989, pp. 1281-1287
     
  • Electroencephalographic Spectra and Coherence in the Diagnosis of Alzheimer's-Type and Multi-infract Dementia
    Leuchter et al.
    Archives of General Psychiatry 44:993-998 (1987
     
  • Topographic EEG changes with normal aging and SDAT
    Breslau et al.
    Electroencephalography and Clinical Neurophysiology 72:281-289, 1989
     
  • EEG amplitudes in healthy, late-middle-aged and elderly adults: normality of the distributions and correlations with age
    V. E. Pollock, L. S. Schneider and S. A. Lyness
    Electroencephalography and Clinical Neurophysiology (vol. 75: 1990, pp. 276-288
     
  • The Electroencephalogram of Eldery Subjects Revisited
    Fernando Torres, Angelina Faoro, Ruth Loewenson et al.
    Electroencephalography and Clinical Neurophysiology, vol. 56: 1983, pp. 391-398
     
  • Electrophysiological Techniques in the Assessment of Aging Brain: Lacunar State and Differential Diagnosis
    M. Onofri, D. Gambi, G. Malatesta et al.
    Neuroepidemology, vol. 29: 1989, (Suppl. 2)
     
  • Long-Term Experience of a Trial in Multi-Infarct Dementia
    Hellmuth Lechner, Reinhold Schmidt, Bertha Goetz
    Neuroepidemiology, vol. 9: 1990, pp. 228-232
     
  • EEG and Event-Related Potentials in Aging and Dementia
    Gastone G. Celesia
    Journal of Clinical Neurophysiology (vol. 3: 2, 1986, pp. 99-111
     
  • EEG changes in senile dementia of Alzheimer-type
    Ch. Logar, W. Grabmair, G. Schneider et al.
    EEG-EMG (German Research Journal, vol. 18: 1987, pp. 214-216
     
  • QSI 9000-The Complete Electrodiagnostic System
    Quantified Signal Imaging Inc., Outario (Advertisement Brochure
     
  • Letters on Brain Mapping
    Clinical EEG Electroencephalography, (vol. 21: 2, 1990, pp. 7-10
     
  • Forty Hertz EEG Activity in Dementia of the Alzheimer Type and Multi-Infarct Dementia
    David Loring, Daniel E. Sheer and John W. Largen
    Psychophysiology (vol. 22: 1, pp. 116-121
     
  • EEG in the differential diagnosis between Alzheimer's disease and vascular dementia 
    T. Erkinjuntti, T. Larsen, R. Sulkava et al.
    Acta Neurological Scandanavia (vol. 77: 1988, pp. 36-43 
     
  • Neurometric Electroencephalographic Characteristics of Dementia
    Leslie Prichep, Francisco Gomez Mont, E. Roy Hohn et al.
    Book chapter, title unknown, pp. 252-257
     
  • Computerized EEG Spectral Analysis in Elderly Normal, Demented and Depressed Subjects
    Richard P. Brenner, Richard F. Ulrich, Duane G. Spiker et al.
    Electroencephalography and Clinical Neurophysiology (vol. 64: 1986, pp. 483-492
     
  • The EEG and Differential Diagnosis in Psychogeriatrics
    K. P. O'Connor, J. C. Shaw and C. O. Ongley
    British Journal of Psychiatry (vol. 135: 1979, pp. 156-162
     
  • A Longitudinal EEG Study of Mild Senile Dementia of Alzheimer Type Changes as 1 year and at 2.5 Years
    Lawrence A. Coben, Warren Danziger and Martha Storandt
    Electroencephalography and Clinical Neurophysiology, vol. 61: 1985, pp. 101-112
     
  • Frequency Analysis of the Resting Awake EEG in Mild Senile Dementia of Alzheimer Type
    Lawrence A. Coben, Warren L. Danziger, and Leonard Berg
    Electroencephalography and Clinical Neurophysiology, vol. 55: 1983, pp. 372-380
     

Dementia

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2005 - SPMC / SoCCE / UoP