Literature DB >> 11124429

Cognitive and behavioral heterogeneity in Alzheimer's disease: seeking the neurobiological basis.

J L Cummings1.   

Abstract

Alzheimer's disease (AD) is manifested by core features of progressive memory impairment, visuospatial decline, aphasia, and loss of executive function. In addition, patients may evidence a variety of other cognitive and behavioral features. The neurobiological basis for this clinical heterogeneity is uncertain but corresponding abnormalities on functional imaging suggest that variations in the distribution of the pathogenic changes in AD account for some of the observed clinical differences. Behavioral as well as cognitive variability has been correlated with disturbances on positron emission tomography and single photon emission computerized tomography. Functional imaging can reveal characteristic brain activity changes in AD, distinguish AD from other dementia syndromes, assess the integrity of transmitter systems in AD, determine the effect of cognitive enhancing and psychotropic drugs on metabolism and transmitter system function in AD, and possibly predict treatment responsiveness. Animal models of AD may improve our understanding of clinical variations in human AD. Thus far, development of cognitive tests for transgenic mice with AD pathology has been limited. Evaluations paralleling human neuropsychological tests are needed. In addition, technologies facilitating behavioral observations relevant to psychosis, depression, apathy, and agitation in AD have not been developed for transgenic models. Application of experiments inducing animal equivalents of depression and psychosis to determine the vulnerability of animal models of AD to these conditions may provide additional insights into human neuropsychiatric symptoms in AD. The efficacy of psychotropic drugs can be assessed in animal models of AD subjected to the provocative stimuli used in experimental models of psychopathology. There are a plethora of opportunities for basic scientists to offer insights, develop strategies, and provide techniques and technologies relevant to understanding the clinical manifestations of AD.

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Year:  2000        PMID: 11124429     DOI: 10.1016/s0197-4580(00)00183-4

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  49 in total

Review 1.  Impact of molecular medicine on neuropsychiatry: the clinician's perspective.

Authors:  J M Ryan; R Loy; P N Tariot
Journal:  Curr Psychiatry Rep       Date:  2001-10       Impact factor: 5.285

2.  Predicting white matter integrity from multiple common genetic variants.

Authors:  Omid Kohannim; Neda Jahanshad; Meredith N Braskie; Jason L Stein; Ming-Chang Chiang; April H Reese; Derrek P Hibar; Arthur W Toga; Katie L McMahon; Greig I de Zubicaray; Sarah E Medland; Grant W Montgomery; Nicholas G Martin; Margaret J Wright; Paul M Thompson
Journal:  Neuropsychopharmacology       Date:  2012-04-18       Impact factor: 7.853

3.  Amyloid imaging in dementias with atypical presentation.

Authors:  David A Wolk; Julie C Price; Charles Madeira; Judy A Saxton; Beth E Snitz; Oscar L Lopez; Chester A Mathis; William E Klunk; Steven T DeKosky
Journal:  Alzheimers Dement       Date:  2012-01-30       Impact factor: 21.566

4.  Neuropsychiatric symptoms in Alzheimer disease and related disorders: why do treatments work in clinical practice but not in the randomized trials?

Authors:  Helen Lavretsky
Journal:  Am J Geriatr Psychiatry       Date:  2008-07       Impact factor: 4.105

5.  Neuropsychiatric symptoms in Alzheimer's disease are related to functional connectivity alterations in the salience network.

Authors:  Marcio L F Balthazar; Fabrício R S Pereira; Tátila M Lopes; Elvis L da Silva; Ana Carolina Coan; Brunno M Campos; Niall W Duncan; Florindo Stella; Georg Northoff; Benito P Damasceno; Fernando Cendes
Journal:  Hum Brain Mapp       Date:  2013-02-18       Impact factor: 5.038

6.  Quantitative neurofibrillary tangle density and brain volumetric MRI analyses in Alzheimer's disease presenting as logopenic progressive aphasia.

Authors:  Keith A Josephs; Dennis W Dickson; Melissa E Murray; Matthew L Senjem; Joseph E Parisi; Ronald C Petersen; Clifford R Jack; Jennifer L Whitwell
Journal:  Brain Lang       Date:  2013-03-28       Impact factor: 2.381

7.  Higher working memory predicts slower functional decline in autopsy-confirmed Alzheimer's disease.

Authors:  Jagan A Pillai; Aaron Bonner-Jackson; Esteban Walker; Lyla Mourany; Jeffrey L Cummings
Journal:  Dement Geriatr Cogn Disord       Date:  2014-06-04       Impact factor: 2.959

8.  Early Alzheimer's disease blocks responses to accelerating self-movement.

Authors:  Roberto Fernandez; Charles J Duffy
Journal:  Neurobiol Aging       Date:  2012-02-17       Impact factor: 4.673

9.  The cerebrocortical areas in normal brain aging and in Alzheimer's disease: noticeable differences in the lipid peroxidation level and in antioxidant defense.

Authors:  E Karelson; N Bogdanovic; A Garlind; B Winblad; K Zilmer; T Kullisaar; T Vihalemm; C Kairane; M Zilmer
Journal:  Neurochem Res       Date:  2001-04       Impact factor: 3.996

Review 10.  Transgenic Drosophila models of Alzheimer's disease and tauopathies.

Authors:  Kanae Iijima-Ando; Koichi Iijima
Journal:  Brain Struct Funct       Date:  2009-12-05       Impact factor: 3.270

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