Abstract
Background and aims
To explore the cognitive functioning of ET patients without dementia and delineate its imaging counterpart.
Methods
We enrolled 99 subjects (49 non-demented ET patients and 50 education-matched healthy controls) that underwent neuropsychological and MRI evaluation. In order to identify the cognitive parameters that better reflect the profile of ET patients, we used a double statistical approach: (i) direct comparison between groups and (ii) machine learning approach with feature selection. Then, to evaluate the correlation between cognitive performances and the degree of brain atrophy in the ET group, we included the results derived from the uni- and multivariate analysis in whole-brain voxel-based morphometry (VBM) model.
Results
In ET patients, the univariate analysis showed differences in cognitive tests evaluating executive functions (FAB, MCST-CA), verbal memory-delayed recall (RAVLT-DR), and working memory (Digit Span B). The relative scores were significantly worse compared to controls, although within the normal range (subclinical dysfunctions). The machine learning approach also provided similar findings: tests exploring the executive functions, verbal memory, and language (RAVLT-DR, FAB, COWAT, RAVLT-IR, TOKEN) showed the highest importance rank in classification’s task. Regardless of the explored test, the MRI analysis revealed a correlation (p < 0.005 uncorrected, whole brain) between test scores and widespread areas including cerebellum, inferior and middle frontal cortices, cingulate cortices, and temporal cortex.
Conclusion
This study improves the knowledge on cognitive impairment in ET, as our findings demonstrate a heterogeneous pattern of cognitive dysfunction involving memory, executive function, and language domains in the ET group. This clinical profile relates with the deep involvement of the cerebellum and its connections with large-scale brain structures, suggesting that changes spreading in wide-ranging brain pathways may contribute to the physiopathology of cognitive dysfunction in ET.
Similar content being viewed by others
References
Benito-León J, Louis ED, Mitchell AJ, Bermejo-Pareja F (2011) Elderly-onset essential tremor and mild cognitive impairment: a population-based study (NEDICES). J Alzheimer’s Dis 23(4):727–735
Bermejo-Pareja F, Louis ED, Benito-León J (2007) Risk of incident dementia in essential tremor: a population-based study. Mov Dis: Off J Mov Disord Soc 22(11):1573–1580
Thawani SP, Schupf N, Louis ED (2009) Essential tremor is associated with dementia: prospective population-based study in New York. Neurology 73(8):621–625
Louis ED (2016) Non-motor symptoms in essential tremor: a review of the current data and state of the field. Parkinsonism Relat Disord 22:S115–S118
Jhunjhunwala K, Pal PK (2014) The non-motor features of essential tremor: a primary disease feature or just a secondary phenomenon? Tremor and other hyperkinetic movements 4.
Chandran V, Pal PK (2012) Essential tremor: beyond the motor features. Parkinsonism Relat Disord 18(5):407–413
Sengul Y, Sengul HS, Yucekaya SK, Yucel S, Bakim B, Pazarcı NK et al (2015) Cognitive functions, fatigue, depression, anxiety, and sleep disturbances: assessment of nonmotor features in young patients with essential tremor. Acta Neurol Belg 115(3):281–287
Benito-León J, Louis ED, Bermejo-Pareja F (2006) Elderly-onset essential tremor is associated with dementia. Neurology 66(10):1500–1505
Gasparini M, Bonifati V, Fabrizio E, Fabbrini G, Brusa L, Lenzi GL et al (2001) Frontal lobe dysfunction in essential tremor. J Neurol 248(5):399–402
Louis ED, Joyce JL, Cosentino S (2019) Mind the gaps: what we don’t know about cognitive impairment in essential tremor. Parkinsonism Relat Disord 63:10–19
Schmahmann JD, Sherman JC (1998) The cerebellar cognitive affective syndrome. Brain J Neurol 121(4):561–79
Tröster AI, Woods SP, Fields JA, Lyons KE, Pahwa R, Higginson CI et al (2002) Neuropsychological deficits in essential tremor: an expression of cerebello-thalamo-cortical pathophysiology? Eur J Neurol 9(2):143–151
Novellino F, Vasta R, Sacca V, Nistico R, Morelli M, Arabia G, et al (2020) Hippocampal impairment in patients with essential tremor: hippocampal changes in ET
Prasad S, Shah A, Bhalsing KS, Kumar KJ, Saini J, Ingalhalikar M et al (2019) Abnormal hippocampal subfields are associated with cognitive impairment in essential tremor. J Neural Transm 126(5):597–606
Saccà V, Sarica A, Novellino F, Barone S, Tallarico T, Filippelli E et al (2019) Evaluation of machine learning algorithms performance for the prediction of early multiple sclerosis from resting-state FMRI connectivity data. Brain Imaging Behav 13(4):1103–1114
Rajagopalan V, Pioro EP (2015) Disparate voxel based morphometry (VBM) results between SPM and FSL softwares in ALS patients with frontotemporal dementia: which VBM results to consider? BMC Neurol 15(1):1–7
Deuschl G, Bain P, Brin M, Committee AHS (1998) Consensus statement of the movement disorder society on tremor. Mov Disord 13(S3):2–23
Novellino F, Bagnato A, Salsone M, Cascini GL, Nicoletti G, Arabia G et al (2010) Myocardial 123I-MIBG scintigraphy for differentiation of Lewy bodies disease from FTD. Neurobiol Aging 31(11):1903–1911
Association AP, Association AP (2013) Diagnostic and statistical manual of mental disorders: DSM-5. Arlington, VA
Dubois B, Feldman HH, Jacova C, DeKosky ST, Barberger-Gateau P, Cummings J et al (2007) Research criteria for the diagnosis of Alzheimer’s disease: revising the NINCDS–ADRDA criteria. Lancet Neurol 6(8):734–746
Fahn S, Tolosa E, Marín C (1993) Clinical rating scale for tremor. Parkinson’s Dis Mov Disord 2:271–280
Team RC (2000) R language definition. Vienna, Austria: R foundation for statistical computing
Lombardi WJ, Woolston DJ, Roberts JW, Gross RE (2001) Cognitive deficits in patients with essential tremor. Neurology 57(5):785–790
Benito-León J, Louis ED, Bermejo-Pareja F (2006) Population-based case-control study of cognitive function in essential tremor. Neurology 66(1):69–74
Cersonsky TEK, Kellner S, Chapman S, Huey ED, Louis ED, Cosentino S (2020) Profiles of normal cognition in essential tremor. J Int Neuropsychol Soc 26(2):197–209
Tuokko H, Vernon-Wilkinson R, Weir J, Beattie BL (1991) Cued recall and early identification of dementia. J Clin Exp Neuropsychol 13(6):871–879
Schoenberg MR, Dawson KA, Duff K, Patton D, Scott JG, Adams RL (2006) Test performance and classification statistics for the Rey Auditory Verbal Learning Test in selected clinical samples. Arch Clin Neuropsychol 21(7):693–703
Estévez-González A, Kulisevsky J, Boltes A, Otermín P, García-Sánchez C (2003) Rey verbal learning test is a useful tool for differential diagnosis in the preclinical phase of Alzheimer’s disease: comparison with mild cognitive impairment and normal aging. Int J Geriatr Psychiatry 18(11):1021–1028
Moradi E, Hallikainen I, Hänninen T, Tohka J (2017) Initiative ADN. Rey’s Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer’s disease. NeuroImage Clin 13:415–27
Russo MJ, Campos J, Vázquez S, Sevlever G, Allegri RF, Weiner MW et al (2017) Adding recognition discriminability index to the delayed recall is useful to predict conversion from mild cognitive impairment to Alzheimer’s disease in the Alzheimer’s disease neuroimaging initiative. Front Aging Neurosci 9:46
Argyropoulos GPD, van Dun K, Adamaszek M, Leggio M, Manto M, Masciullo M et al (2020) The cerebellar cognitive affective/Schmahmann syndrome: a task force paper. The Cerebellum 19(1):102–125
Stoodley CJ, Schmahmann JD (2010) Evidence for topographic organization in the cerebellum of motor control versus cognitive and affective processing. Cortex 46(7):831–44
Habas C, Kamdar N, Nguyen D, Prater K, Beckmann CF, Menon V et al (2009) Distinct cerebellar contributions to intrinsic connectivity networks. J Neurosci 29(26):8586–8594
Krienen FM, Buckner RL (2009) Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity. Cereb Cortex 19(10):2485–2497
Dosenbach NUF, Fair DA, Cohen AL, Schlaggar BL, Petersen SE (2008) A dual-networks architecture of top-down control. Trends Cogn Sci 12(3):99–105
Quattrone A, Cerasa A, Messina D, Nicoletti G, Hagberg GE, Lemieux L et al (2008) Essential head tremor is associated with cerebellar vermis atrophy: a volumetric and voxel-based morphometry MR imaging study. Am J Neuroradiol 29(9):1692–1697
Cerasa A, Messina D, Nicoletti G, Novellino F, Lanza P, Condino F et al (2009) Cerebellar atrophy in essential tremor using an automated segmentation method. Am J Neuroradiol 30(6):1240–1243
Novellino F, Nicoletti G, Cherubini A, Caligiuri ME, Nistico R, Salsone M et al (2016) Cerebellar involvement in essential tremor with and without resting tremor: a diffusion tensor imaging study. Parkinsonism Relat Disord 27:61–66
Jia L, Jia-lin S, Qin D, Qing L, Yan Z (2011) A diffusion tensor imaging study in essential tremor. J Neuroimaging 21(4):370–374
Nicoletti G, Manners D, Novellino F, Condino F, Malucelli E, Barbiroli B et al (2010) Diffusion tensor MRI changes in cerebellar structures of patients with familial essential tremor. Neurology 74(12):988–994
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Conflict of interests
The authors declare no competing interests.
Ethical approval
This study was performed in line with the principles of the Declaration of Helsinki. All study procedures and ethical aspects were approved by the institutional review board of Magna Graecia University, Catanzaro, Italy.
Consent to participate
Written informed consent was obtained from each participant included in the study.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Valeria Saccà performed the statistical analysis.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Novellino, F., Saccà, V., Salsone, M. et al. Cognitive functioning in essential tremor without dementia: a clinical and imaging study. Neurol Sci 43, 4811–4820 (2022). https://doi.org/10.1007/s10072-022-06045-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10072-022-06045-4