Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-23T04:33:36.408Z Has data issue: false hasContentIssue false

Frontal Assessment Battery in Parkinson’s Disease: Validity and Morphological Correlates

Published online by Cambridge University Press:  18 July 2017

Ondrej Bezdicek*
Affiliation:
Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
Filip Růžička
Affiliation:
Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
Adela Fendrych Mazancova
Affiliation:
Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
Jan Roth
Affiliation:
Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
Pavel Dušek
Affiliation:
Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
Karsten Mueller
Affiliation:
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Evžen Růžička
Affiliation:
Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
Robert Jech
Affiliation:
Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic
*
Correspondence and reprint requests to: Ondrej Bezdicek, Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Kateřinská 30, 128 21 Praha 2, Czech Republic. E-mail: [email protected]

Abstract

Objectives: Executive dysfunction is a common feature in Parkinson’s disease (PD). However, there is a lack of brief validated instruments for executive dysfunction in PD. Methods: The aim of the present study was to assess the relation of Frontal Assessment Battery (FAB) scores to age and education, to verify the utility of FAB in the evaluation of executive dysfunction in PD and to differentiate between controls (n=41), PD patients with normal cognition (PD-NC; n=41; Hoehn and Yahr stages 2–3) and PD with mild cognitive impairment (PD-MCI; n=32; Hoehn and Yahr stages 2–3). In addition, we studied the relation between voxel-based morphometric (VBM) data and FAB results in PD. Results: We found that FAB scores are significantly related to age and education. The FAB has shown discriminative validity for the differentiation of PD-MCI from PD-NC and controls (area under the curve >.80). Also, the VBM analysis revealed lower FAB scores are specifically related to lower gray matter density in the right ventromedial prefrontal areas and precuneus. Conclusions: The FAB can be recommended as a valid instrument for PD-MCI Level I screening. FAB is sensitive to frontal lobe involvement in PD as reflected by lower gray matter density in prefrontal areas. (JINS, 2017, 23, 675–684)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Alvarez, J.A., & Emory, E. (2006). Executive function and the frontal lobes: A meta-analytic review. Neuropsychology Review, 16(1), 1742.Google Scholar
Appollonio, I., Leone, M., Isella, V., Piamarta, F., Consoli, T., Villa, M., & Nichelli, P. (2005). The Frontal Assessment Battery (FAB): Normative values in an Italian population sample. Neurological Sciences, 26(2), 108116.CrossRefGoogle Scholar
Asaadi, S., Ashrafi, F., Omidbeigi, M., Nasiri, Z., Pakdaman, H., & Amini-Harandi, A. (2016). Persian version of frontal assessment battery: Correlations with formal measures of executive functioning and providing normative data for Persian population. Iranian Journal of Neurology, 15(1), 1622.Google Scholar
Austin, M.-P., Mitchell, P., & Goodwin, G.M. (2001). Cognitive deficits in depression. The British Journal of Psychiatry, 178(3), 200206.CrossRefGoogle ScholarPubMed
Baggio, H.C., Segura, B., Sala-Llonch, R., Marti, M.J., Valldeoriola, F., Compta, Y., & Junque, C. (2015). Cognitive impairment and resting-state network connectivity in Parkinson’s disease. Human Brain Mapping, 36(1), 199212. doi: 10.1002/hbm.22622 Google Scholar
Barulli, M.R., Fontana, A., Panza, F., Copetti, M., Bruno, S., Tursi, M., & Simone, I.L. (2015). Frontal assessment battery for detecting executive dysfunction in amyotrophic lateral sclerosis without dementia: A retrospective observational study. BMJ Open, 5, 18. doi: 10.1136/bmjopen-2014-007069 Google Scholar
Bechara, A., & Van Der Linden, M. (2005). Decision-making and impulse control after frontal lobe injuries. Current Opinion in Neurology, 18(6), 734739.Google Scholar
Benedict, R.H.B. (1997). Brief Visuospatial Memory Test-Revised. Professional Manual. Lutz, FL: Psychological Assessment Resources.Google Scholar
Benke, T., Karner, E., & Delazer, M. (2013). FAB-D: German version of the Frontal Assessment Battery. Journal of Neurology, 260(8), 20662072.Google Scholar
Benton, A.L., Hamsher, K. deS., & Sivan, A.B. (1994). Multilingual Aphasia Examination (3rd Edition ed.). San Antonio, TX: The Psychological Corporation.Google Scholar
Bezdicek, O., Lukavsky, J., & Preiss, M. (2011). Functional activities questionnaire, Czech version - A validation study. Ceska a Slovenska Neurologie a Neurochirurgie, 74(1), 3642.Google Scholar
Bezdicek, O., Moták, L., Axelrod, B.N., Preiss, M., Nikolai, T., Vyhnálek, M., & Růžička, E. (2012). Czech version of the Trail Making Test: Normative data and clinical utility. Archives of Clinical Neuropsychology, 27(8), 906914.CrossRefGoogle ScholarPubMed
Bezdicek, O., Stepankova, H., Martinec Novakova, L., & Kopecek, M. (2016). Toward the processing speed theory of activities of daily living in healthy aging: Normative data of the Functional Activities Questionnaire. Aging Clinical Experimental Research, 28(2), 239247. doi: 10.1007/s40520-015-0413-5 Google Scholar
Bezdicek, O., Stepankova, H., Motak, L., Axelrod, B.N., Woodard, J.L., Preiss, M., & Poreh, A. (2014). Czech version of Rey Auditory Verbal Learning test: Normative data. Aging Neuropsychology and Cognition, 21(6), 693721. doi: 10.1080/13825585.2013.865699 Google Scholar
Biundo, R., Calabrese, M., Weis, L., Facchini, S., Ricchieri, G., Gallo, P., &Antonini, A. (2013). Anatomical correlates of cognitive functions in early Parkinson’s disease patients. PLoS One, 8(5), e64222. doi: 10.1371/journal.pone.0064222 CrossRefGoogle ScholarPubMed
Biundo, R., Weis, L., Pilleri, M., Facchini, S., Formento-Dojot, P., Vallelunga, A., &Antonini, A. (2013). Diagnostic and screening power of neuropsychological testing in detecting mild cognitive impairment in Parkinson’s disease. Journal of Neural Transmission, 120(4), 627633.Google Scholar
Bott, N.T., Johnson, E.T., Schuff, N., Galifianakis, N., Subas, T., Pollock, J., & Possin, K.L. (2014). Sensitive measures of executive dysfunction in non-demented Parkinson’s disease. Parkinsonism & Related Disorders, 20(12), 14301433.Google Scholar
Bronnick, K. (2010). Cognitive profile in Parkinson’s disease dementia. In M. Emre (Ed.), Cognitive impairment and dementia in Parkinson’s disease (pp. 2743). Oxford: Oxford University Press.Google Scholar
Buckner, R.L. (2013). The cerebellum and cognitive function: 25 years of insight from anatomy and neuroimaging. Neuron, 80(3), 807815.CrossRefGoogle ScholarPubMed
Caeyenberghs, K., Leemans, A., Leunissen, I., Gooijers, J., Michiels, K., Sunaert, S., &Swinnen, S. (2014). Altered structural networks and executive deficits in traumatic brain injury patients. Brain Structure and Function, 219(1), 193209.Google Scholar
de Paula, J., Moura, S., Bocardi, M., Moraes, E., Malloy-Diniz, L., & Haase, V. (2013). Screening for executive dysfunction with the Frontal Assessment Battery: Psychometric properties analysis and representative normative data for Brazilian older adults. Psicologia em Pesquisa, 7(1), 8998.Google Scholar
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135168.Google Scholar
Dubois, B., Slachevsky, A., Litvan, I., & Pillon, B. (2000). The FAB: A frontal assessment battery at bedside. Neurology, 55(11), 16211626.Google Scholar
Duke, L.M., & Kaszniak, A.W. (2000). Executive control functions in degenerative dementias: A comparative review. Neuropsychology Review, 10(2), 7599.CrossRefGoogle ScholarPubMed
Emre, M., Aarsland, D., Brown, R., Burn, D.J., Duyckaerts, C., Mizuno, Y., & Dubois, B. (2007). Clinical diagnostic criteria for dementia associated with Parkinson’s disease. Movement Disorders, 22(12), 16891707. quiz 1837. doi: 10.1002/mds.21507 Google Scholar
Evans, J., Chua, S., McKenna, P., & Wilson, B. (1997). Assessment of the dysexecutive syndrome in schizophrenia. Psychological Medicine, 27(03), 635646.CrossRefGoogle ScholarPubMed
Fuster, J.M. (2000). Executive frontal functions. Experimental Brain Research, 133(1), 6670.Google Scholar
Godefroy, O., Azouvi, P., Robert, P., Roussel, M., LeGall, D., Meulemans, T., & Groupe de Reflexion sur l’Evaluation des Fonctions Executives Study Group. (2010). Dysexecutive syndrome: Diagnostic criteria and validation study. Annals of Neurology, 68(6), 855864. doi: 10.1002/ana.22117 Google Scholar
Goodglass, H., & Kaplan, E. (1983). The assessment of aphasia and related disorders. Philadelphia: Lee & Ferbiger.Google Scholar
Guedj, E., Allali, G., Goetz, C., Le Ber, I., Volteau, M., Lacomblez, L., & Dubois, B. (2008). Frontal Assessment Battery is a marker of dorsolateral and medial frontal functions: A SPECT study in frontotemporal dementia. Journal of the Neurological Sciences, 273(1-2), 8487.Google Scholar
Hoops, S., Nazem, S., Siderowf, A.D., Duda, J.E., Xie, S.X., Stern, M.B., &Weintraub, D. (2009). Validity of the MoCA and MMSE in the detection of MCI and dementia in Parkinson disease. Neurology, 73(21), 17381745. doi: 10.1212/WNL.0b013e3181c34b47 Google Scholar
Hughes, A.J., Daniel, S.E., Kilford, L., & Lees, A.J. (1992). Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: A clinico-pathological study of 100 cases. Journal of Neurology, Neurosurgery, & Psychiatry, 55(3), 181184.Google Scholar
Hutton, C., Draganski, B., Ashburner, J., & Weiskopf, N. (2009). A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging. Neuroimage, 48(2), 371380. doi: 10.1016/j.neuroimage.2009.06.043 CrossRefGoogle ScholarPubMed
Jurado, M., & Rosselli, M. (2007). The elusive nature of executive functions: A review of our current understanding. Neuropsychology Review, 17(3), 213233.Google Scholar
Kehagia, A.A., Barker, R.A., & Robbins, T.W. (2010). Neuropsychological and clinical heterogeneity of cognitive impairment and dementia in patients with Parkinson’s disease. Lancet Neurology, 9(12), 12001213. doi: 10.1016/s1474-4422(10)70212-x Google Scholar
Kehagia, A.A., Barker, R.A., & Robbins, T.W. (2013). Cognitive impairment in Parkinson’s disease: The dual syndrome hypothesis. Neurodegenerative Disease, 11(2), 7992. doi: 10.1159/000341998 Google Scholar
Kim, T.H., Huh, Y., Choe, J.Y., Jeong, J.W., Park, J.H., Lee, S.B., & Woo, J.I. (2010). Korean version of frontal assessment battery: Psychometric properties and normative data. Dementia and Geriatric Cognitive Disorders, 29(4), 363370.Google Scholar
Kudlicka, A., Clare, L., & Hindle, J.V. (2011). Executive functions in Parkinson’s disease: Systematic review and meta-analysis. Movement Disorders, 26(13), 23052315. doi: 10.1002/mds.23868 Google Scholar
Kume, K., Hanyu, H., Murakami, M., Sato, T., Hirao, K., Kanetaka, H., & Iwamoto, T. (2011). Frontal Assessment Battery and brain perfusion images in amnestic mild cognitive impairment. Geriatrics & Gerontology International, 11(1), 7782. doi: 10.1111/j.1447-0594.2010.00645.x Google Scholar
Lau, K.M., Parikh, M., Harvey, D.J., Huang, C.J., & Farias, S.T. (2015). Early cognitively based functional limitations predict loss of independence in instrumental activities of daily living in older adults. Journal of the International Neuropsychological Society, 21(9), 688698. doi: 10.1017/S1355617715000818 Google Scholar
Lehto, J.E., Juujarvi, P., Kooistra, L., & Pulkkinen, L. (2003). Dimensions of executive functioning: Evidence from children. British Journal of Developmental Psychology, 21(1), 5980.Google Scholar
Leskela, M., Hietanen, M., Kalska, H., Ylikoski, R., Pohjasvaara, T., Mantyla, R., &Erkinjuntti, T. (1999). Executive functions and speed of mental processing in elderly patients with frontal or nonfrontal ischemic stroke. European Journal of Neurology, 6(6), 653661.Google Scholar
Lezak, M.D., Howieson, D.B., Bigler, E.D., & Tranel, D. (2012). Neuropsychological assessment (5th ed.). New York: Oxford University Press.Google Scholar
Lima, C.F., Meireles, L.P., Fonseca, R., Castro, S.L., & Garrett, C. (2008). The Frontal Assessment Battery (FAB) in Parkinson’s disease and correlations with formal measures of executive functioning. Journal of Neurology, 255(11), 17561761.Google Scholar
Litvan, I., Goldman, J.G., Troster, A.I., Schmand, B.A., Weintraub, D., Petersen, R.C., & Emre, M. (2012). Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Movement Disorders, 27(3), 349356. doi: 10.1002/mds.24893 CrossRefGoogle ScholarPubMed
Michalec, J., Bezdicek, O., Nikolai, T., Harsa, P., Jech, R., Silhan, P., & Shallice, T. (2017). A comparative study of Tower of London Scoring Systems and normative data. Archives of Clinical Neuropsychology. [Epub ahead of print]. doi: 10.1093/arclin/acw111 Google Scholar
Miller, B.L., & Cummings, J.L. (2007). Conceptual and clinical aspects of the frontal lobes. In B.L. Miller & J.L. Cummings (Eds.), The human frontal lobes: Functions and disorders. New York: Guilford Press.Google Scholar
Miyake, A., & Friedman, N.P. (2012). The nature and organization of individual differences in executive functions four general conclusions. Current Directions in Psychological Science, 21(1), 814.Google Scholar
Miyake, A., Friedman, N.P., Emerson, M.J., Witzki, A.H., Howerter, A., & Wager, T.D. (2000). The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49100. doi: 10.1006/cogp.1999.0734 Google Scholar
Nazem, S., Siderowf, A.D., Duda, J.E., Have, T.T., Colcher, A., Horn, S.S., & Weintraub, D. (2009). Montreal cognitive assessment performance in patients with Parkinson’s disease with “normal” global cognition according to mini-mental state examination score. Journal of the American Geriatrics Society, 57(2), 304308. doi: 10.1111/j.1532-5415.2008.02096.x Google Scholar
Nikolai, T., Michalec, J., Bezdíček, O., Štěpánková, H., Marková, H., & Kopeček, M. (2015). Normative data on verbal fluency in very old Czech adults. Ceska a Slovenska Neurologie a Neurochirurgie, 78(111), 292299.Google Scholar
Oshima, E., Terada, S., Sato, S., Ikeda, C., Nagao, S., Takeda, N., & Uchitomi, Y. (2012). Frontal assessment battery and brain perfusion imaging in Alzheimer’s disease. International Psychogeriatrics, 24(6), 9941001. doi: 10.1017/s1041610211002481 Google Scholar
Pirogovsky, E., Schiehser, D.M., Litvan, I., Obtera, K.M., Burke, M.M., Lessig, S.L., & Filoteo, J.V. (2014). The utility of the Mattis Dementia Rating Scale in Parkinson’s disease mild cognitive impairment. Parkinsonism & Related Disorders, 20(6), 627631. doi: 10.1016/j.parkreldis.2014.03.010 Google Scholar
Roy, M., Shohamy, D., & Wager, T.D. (2012). Ventromedial prefrontal-subcortical systems and the generation of affective meaning. Trends in Cognitive Sciences, 16(3), 147156.Google Scholar
Royall, D.R., Cordes, J.A., & Polk, M. (1998). CLOX: An executive clock drawing task. Journal of Neurology, Neurosurgery, & Psychiatry, 64(5), 588594.Google Scholar
Segura, B., Baggio, H.C., Marti, M.J., Valldeoriola, F., Compta, Y., Garcia-Diaz, A.I., & Junque, C. (2014). Cortical thinning associated with mild cognitive impairment in Parkinson’s disease. Movement Disorders, 29(12), 14951503. doi: 10.1002/mds.25982 Google Scholar
Shallice, T. (1982). Specific impairments of planning. Philosophical Transactions of the Royal Society London B Biological Sciences, 298(1089), 199209.Google Scholar
Stuss, D.T., & Alexander, M.P. (2000). Executive functions and the frontal lobes: A conceptual view. Psychological Research, 63(3-4), 289298.Google Scholar
Štěpánková, H., Nikolai, T., Lukavský, J., Bezdíček, O., Vrajová, M., & Kopeček, M. (2015). Mini-Mental State Examination – Czech normative study. Czech and Slovak Neurology and Neurosurgery, 78/111(1), 5763.Google Scholar
Tomlinson, C.L., Stowe, R., Patel, S., Rick, C., Gray, R., & Clarke, C.E. (2010). Systematic review of levodopa dose equivalency reporting in Parkinson’s disease. Movement Disorders, 25(15), 26492653. doi: 10.1002/mds.23429 Google Scholar
Turner, G.R., & Spreng, R.N. (2012). Executive functions and neurocognitive aging: Dissociable patterns of brain activity. Neurobiology of Aging, 33(4), 826.e821826.e813. doi: http://dx.doi.org/10.1016/j.neurobiolaging.2011.06.005 Google Scholar
Uribe, C., Segura, B., Baggio, H. C., Abos, A., Marti, M. J., Valldeoriola, F., … Junque, C. (2016). Patterns of cortical thinning in nondemented Parkinson’s disease patients. Movement Disorders, 31(5), 699708. doi:10.1002/mds.26590Google Scholar
Utevsky, A.V., Smith, D.V., & Huettel, S.A. (2014). Precuneus is a functional core of the default-mode network. Journal of Neuroscience, 34(3), 932940. doi: 10.1523/jneurosci.4227-13.2014 CrossRefGoogle ScholarPubMed
Wechsler, D. (1999). Technická příručka. WAIS-III, WMS-III. Bratislava: Psychodiagnostika.Google Scholar
Williams-Gray, C.H., Mason, S.L., Evans, J.R., Foltynie, T., Brayne, C., Robbins, T.W., &Barker, R.A. (2013). The CamPaIGN study of Parkinson’s disease: 10-year outlook in an incident population-based cohort. Journal of Neurology, Neurosurgery, & Psychiatry, 84(11), 12581264. doi: 10.1136/jnnp-2013-305277 Google Scholar
Yarnall, A.J., Breen, D.P., Duncan, G.W., Khoo, T.K., Coleman, S.Y., Firbank, M.J., & Burn, D.J. (2014). Characterizing mild cognitive impairment in incident Parkinson disease: The ICICLE-PD study. Neurology, 82(4), 308316. doi: 10.1212/wnl.0000000000000066 Google Scholar
Zhang, S., & Li, C.S. (2012). Functional connectivity mapping of the human precuneus by resting state fMRI. Neuroimage, 59(4), 35483562. doi: 10.1016/j.neuroimage.2011.11.023 Google Scholar
Zemanová, N., Bezdíček, O., Michalec, J., Nikolai, T., Roth, J., Jech, R., &Růžička, E. (2016). Validity study of the Boston Naming Test Czech Version. Ceska a Slovenska Neurologie a Neurochirurgie, 79/112(3), 307316.Google Scholar