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Sahu A, Rajeshree S, Kalika M, Ravat S, Shah U. Naming assessment in bilinguals for epilepsy surgery-adaptation and standardization of Boston Naming Test in India. APPLIED NEUROPSYCHOLOGY. ADULT 2024:1-8. [PMID: 38648395 DOI: 10.1080/23279095.2024.2343009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
PURPOSE Naming difficulty is associated with temporal lobe epilepsy and a decline in naming ability is reported following dominant temporal lobe resections. The Boston Naming Test (BNT) is the most frequently used test for assessing naming ability. Evaluating naming ability in bilingual/multilingual populations is a challenge when participants are restricted to responding in one language. The study aimed to adapt and standardize the BNT as a valid clinical tool for evaluating bilingual/multilingual people undergoing epilepsy surgery in urban India. RESULTS Culture-appropriate adaptations were done, and participants were allowed to respond in any language. Data from 197 participants showed a strong education effect. The adaptation showed strong internal consistency, reliability, construct validity, and high sensitivity to left temporal lobe epilepsy performance. CONCLUSIONS The adapted version that allowed for flexible use of more than one language is a useful clinical tool for evaluating bilingual people undergoing epilepsy surgery.
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Affiliation(s)
- Aparna Sahu
- Department of Neurology, Seth G.S. Medical College & K.E.M. Hospital, Mumbai, India
| | - Shivani Rajeshree
- Department of Neurology, Seth G.S. Medical College & K.E.M. Hospital, Mumbai, India
| | - Mayuri Kalika
- Department of Neurology, Seth G.S. Medical College & K.E.M. Hospital, Mumbai, India
| | - Sangeeta Ravat
- Department of Neurology, Seth G.S. Medical College & K.E.M. Hospital, Mumbai, India
| | - Urvashi Shah
- Department of Neurology, Seth G.S. Medical College & K.E.M. Hospital, Mumbai, India
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Rofes A, Piai V. Introduction to the special issue on cognitive neurosurgery. J Neuropsychol 2024; 18 Suppl 1:1-6. [PMID: 38375989 DOI: 10.1111/jnp.12358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 12/26/2023] [Indexed: 02/21/2024]
Affiliation(s)
- Adrià Rofes
- Center for Language and Cognition (CLCG), University of Groningen, Groningen, The Netherlands
- Research School of Behavioral and Cognitive Neurosciences (BCN), University of Groningen, Groningen, The Netherlands
| | - Vitória Piai
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
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Sarkis RA. fMRI to Predict Naming Decline: Can We Improve the Grade From a C to an A? Epilepsy Curr 2022; 22:345-347. [PMID: 36426181 PMCID: PMC9661605 DOI: 10.1177/15357597221126277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Prediction of Naming Outcome With fMRI Language Lateralization in Left Temporal Epilepsy Surgery Gross WL, Helfand AI, Swanson SJ, Conant LL, Humphries CJ, Raghavan M, Mueller WM, Busch RM, Allen L, Anderson CT, Carlson CE, Lowe MJ, Langfitt JT, Tivarus ME, Drane DL, Loring DW, Jacobs M, Morgan VL, Allendorfer JB, Szaflarski JP, Bonilha L, Bookheimer S, Grabowski T, Vannest J, Binder JR; FMRI in Anterior Temporal Epilepsy Surgery (FATES) Study. Neurology. 2022;98(23):e2337-e2346. doi:10.1212/WNL.0000000000200552. PMID: 35410903; PMCID: PMC9202528. Background and Objectives: Naming decline after left temporal lobe epilepsy (TLE) surgery is common and difficult to predict. Preoperative language fMRI may predict naming decline, but this application is still lacking evidence. We performed a large multicenter cohort study of the effectiveness of fMRI in predicting naming deficits after left TLE surgery. Methods: At 10 US epilepsy centers, 81 patients with left TLE were prospectively recruited and given the Boston Naming Test (BNT) before and ≈7 months after anterior temporal lobectomy. An fMRI language laterality index (LI) was measured with an auditory semantic decision-tone decision task contrast. Correlations and a multiple regression model were built with a priori chosen predictors. Results: Naming decline occurred in 56% of patients and correlated with fMRI LI (r = −0.41, p < 0.001), age at epilepsy onset (r = −0.30, p = 0.006), age at surgery (r = −0.23, p = 0.039), and years of education (r = 0.24, p = 0.032). Preoperative BNT score and duration of epilepsy were not correlated with naming decline. The regression model explained 31% of the variance, with fMRI contributing 14%, with a 96% sensitivity, and 44% specificity for predicting meaningful naming decline. Cross-validation resulted in an average prediction error of 6 points. Discussion: An fMRI-based regression model predicted naming outcome after left TLE surgery in a large, prospective multicenter sample, with fMRI as the strongest predictor. These results provide evidence supporting the use of preoperative language fMRI to predict language outcome in patients undergoing left TLE surgery.
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Affiliation(s)
- Rani A. Sarkis
- Division of Epilepsy, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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Trébuchon A, Liégeois-Chauvel C, Gonzalez-Martinez JA, Alario FX. Contributions of electrophysiology for identifying cortical language systems in patients with epilepsy. Epilepsy Behav 2020; 112:107407. [PMID: 33181892 DOI: 10.1016/j.yebeh.2020.107407] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 08/10/2020] [Accepted: 08/10/2020] [Indexed: 11/26/2022]
Abstract
A crucial element of the surgical treatment of medically refractory epilepsy is to delineate cortical areas that must be spared in order to avoid clinically relevant neurological and neuropsychological deficits postoperatively. For each patient, this typically necessitates determining the language lateralization between hemispheres and language localization within hemisphere. Understanding cortical language systems is complicated by two primary challenges: the extent of the neural tissue involved and the substantial variability across individuals, especially in pathological populations. We review the contributions made through the study of electrophysiological activity to address these challenges. These contributions are based on the techniques of magnetoencephalography (MEG), intracerebral recordings, electrical-cortical stimulation (ECS), and the electrovideo analyses of seizures and their semiology. We highlight why no single modality alone is adequate to identify cortical language systems and suggest avenues for improving current practice.
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Affiliation(s)
- Agnès Trébuchon
- Aix-Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Catherine Liégeois-Chauvel
- Aix-Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France; Department of Neurological Surgery, School of Medicine, University of Pittsburgh (PA), USA
| | | | - F-Xavier Alario
- Department of Neurological Surgery, School of Medicine, University of Pittsburgh (PA), USA; Aix-Marseille Univ, CNRS, LPC, Marseille, France.
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Miller M, Honomichl R, Lapin B, Hogan T, Thompson N, Barr WB, Friedman D, Sieg E, Schuele S, Kurtish SY, Özkara C, Lin K, Wiebe S, Jehi L, Busch RM. The memory assessment clinics scale for epilepsy (MAC-E): A brief measure of subjective cognitive complaints in epilepsy. Clin Neuropsychol 2020; 36:1438-1452. [PMID: 33106081 DOI: 10.1080/13854046.2020.1837245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVE The aim of this study was to conduct item reduction of the Memory Assessment Clinics Self-Rating Scale (MAC-S) to create a briefer measure that can be used to quickly evaluate subjective memory complaints in patients with epilepsy. Method: A total of 1333 adults with focal epilepsy completed the original 49-item MAC-S. The sample was randomly split into three subsamples, and a series of analyses (i.e. exploratory factor analysis, confirmatory factor analysis, and item response theory analyses) was conducted to identify an alternative factor structure, with a reduced number of items. A panel of 5 neuropsychologists independently reviewed the final model to assess appropriateness of each individual item as well as the factor loadings and overall factor structure. Final factor titles were subsequently decided as a group. Results: Five factors were identified: Attention, Working Memory, Retrieval, Semantic Memory, and Episodic Memory. The length of the MAC-S was reduced from 49 to 30 items, with items being removed because they failed to load onto any of the factors substantially, or because of poor item discrimination or threshold levels. Conclusions: The Memory Assessment Clinics Scale for Epilepsy (MAC-E), is an updated, brief measure of subjective memory functioning that can be used to efficiently assess relevant, every-day memory abilities in patients with epilepsy within both clinical and research settings.
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Affiliation(s)
- Margaret Miller
- Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ryan Honomichl
- Patient Centered Outcome Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Brittany Lapin
- Patient Centered Outcome Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.,Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Thomas Hogan
- Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Nicholas Thompson
- Patient Centered Outcome Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - William B Barr
- Departments of Neurology and Psychiatry, NYU-Langone Medical Center, NYU Grossman School of Medicine, New York, NY, USA
| | - Daniel Friedman
- Comprehensive Epilepsy Center, NYU Grossman School of Medicine, New York, NY, USA
| | - Erica Sieg
- Psychiatry and Behavioral Sciences, Northwestern Memorial Hospital, Chicago, IL, USA
| | - Stephan Schuele
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Selin Yagci Kurtish
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University, Istanbul, Turkey
| | - Cigdem Özkara
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University, Istanbul, Turkey
| | - Katia Lin
- Neurology Division, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | | | - Lara Jehi
- Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.,Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Robyn M Busch
- Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.,Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
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