scholarly journals Presurgical language fMRI: Current technical practices in epilepsy surgical planning

2018 ◽  
Author(s):  
Christopher F. A. Benjamin ◽  
Isha Dhingra ◽  
Alexa X Li ◽  
Hal Blumenfeld ◽  
Rafeed Alkawadri ◽  
...  

AbstractLittle is known about how language functional MRI (fMRI) is executed in clinical practice in spite of its widespread use. Here we comprehensively documented its execution in surgical planning in epilepsy. A questionnaire focusing on cognitive design, imaging acquisition, analysis and interpretation and practical considerations was developed. Individuals responsible for collecting, analyzing, and interpreting clinical language fMRI data at 63 epilepsy surgical programs responded. The central finding was of marked heterogeneity in all aspects of fMRI. Most programs use multiple tasks, with a fifth routinely using 2, 3, 4 or 5 tasks with a modal run duration of five minutes. Variants of over fifteen protocols are in routine use with forms of noun-verb generation, verbal fluency, and semantic decision-making used most often. Nearly all aspects of data acquisition and analysis vary markedly. Neither of the two best-validated protocols were used by more than 10% of respondents. Preprocessing steps are broadly consistent across sites, language-related blood flow is most often identified using general linear modeling (76% of respondents), and statistical thresholding typically varies by patient (79%). The software SPM is most often used. fMRI programs inconsistently include input from experts with all required skills (imaging, cognitive assessment, MR physics, statistical analysis, brain-behavior relationships). These data highlight marked gaps between the evidence supporting fMRI and its clinical application. Teams performing language fMRI may benefit from evaluating practice with reference to the best-validated protocols to date and ensuring individuals trained in all aspects of fMRI are involved to optimize patient care.

2021 ◽  
Vol 15 (9) ◽  
pp. 2272-2275
Author(s):  
Hafsah Arshad ◽  
Kinza Anwar ◽  
Hafsah Gul Khattak ◽  
Imran Amjad ◽  
Yaser Majeed

Aim: To determine effects of Kinect- based games on neurocognitive functions in older adults with mild cognitive impairment. Methodology: A quasi experimental pre-post trail was conducted on 18 mild cognitive impairment (MCI) older adults. The subjects were recruited to access cognitive impairment through purposive sampling technique. The inclusion criteria were elderly aged ≥ 50 years, both genders, able to read and write, whereas older adults with severe cognitive impairments, neurological disorders and un controlled comorbidities were excluded. Brain training was provided for 30 minutes with 5-minute warm-up time and 5-minute cool-down time for 6 weeks. Blind assessor measured readings at baseline and after six weeks. The outcome measures were Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MOCA), Trail making test A & B and verbal fluency test (Semantic &Phonemic). The data was analyzed at baseline and after six weeks of intervention Results: Significant improvements were observed in post-test measurements (p <0.05) in MMSE, MoCA, TMT A & B and verbal fluency (Semantic &Phonemic) tests after 6 weeks of treatment. Conclusion: Kinect-based virtual reality games are beneficial in improving cognitive abilities of older adults with mild cognitive impairment. Keywords: Cognitive training, Mild cognitive impairment, Montreal Cognitive Assessment


NeuroImage ◽  
2001 ◽  
Vol 14 (6) ◽  
pp. 1370-1386 ◽  
Author(s):  
Mark W. Woolrich ◽  
Brian D. Ripley ◽  
Michael Brady ◽  
Stephen M. Smith

Neurosurgery ◽  
2003 ◽  
Vol 52 (6) ◽  
pp. 1335-1347 ◽  
Author(s):  
Franck-Emmanuel Roux ◽  
Kader Boulanouar ◽  
Jean-Albert Lotterie ◽  
Mehdi Mejdoubi ◽  
James P. LeSage ◽  
...  

Abstract OBJECTIVE The aim of this study was to analyze the usefulness of preoperative language functional magnetic resonance imaging (fMRI), by correlating fMRI data with intraoperative cortical stimulation results for patients with brain tumors. METHODS Naming and verb generation tasks were used, separately or in combination, for 14 right-handed patients with tumors in the left hemisphere. fMRI data obtained were analyzed with SPM software, with two standard analysis thresholds (P &lt; 0.005 and then P &lt; 0.05). The fMRI data were then registered in a frameless stereotactic neuronavigational device and correlated with direct brain mapping results. We used a statistical model with the fMRI information as a predictor, spatially correlating each intraoperatively mapped cortical site with fMRI data integrated in the neuronavigational system (site-by-site correlation). Eight patients were also studied with language fMRI postoperatively, with the same acquisition protocol. RESULTS We observed high variability in signal extents and locations among patients with both tasks. The activated areas were located mainly in the left hemisphere in the middle and inferior frontal gyri (F2 and F3), the superior and middle temporal gyri (T1 and T2), and the supramarginal and angular gyri. A total of 426 cortical sites were tested for each task among the 14 patients. In frontal and temporoparietal areas, poor sensitivity of the fMRI technique was observed for the naming and verb generation tasks (22 and 36%, respectively) with P &lt; 0.005 as the analysis threshold. Although not perfect, the specificity of the fMRI technique was good in all conditions (97% for the naming task and 98% for the verb generation task). Better correlation (sensitivity, 59%; specificity, 97%) was achieved by combining the two fMRI tasks. Variation of the analysis threshold to P &lt; 0.05 increased the sensitivity to 66% while decreasing the specificity to 91%. Postoperative fMRI data (for the cortical brain areas studied intraoperatively) were in accordance with brain mapping results for six of eight patients. Complete agreement between pre- and postoperative fMRI studies and direct brain mapping results was observed for only three of eight patients. CONCLUSION With the paradigms and analysis thresholds used in this study, language fMRI data obtained with naming or verb generation tasks, before and after surgery, were imperfectly correlated with intraoperative brain mapping results. A better correlation could be obtained by combining the fMRI tasks. The overall results of this study demonstrated that language fMRI could not be used to make critical surgical decisions in the absence of direct brain mapping. Other acquisition protocols are required for evaluation of the potential role of language fMRI in the accurate detection of essential cortical language areas.


2020 ◽  
Vol 42 (1) ◽  
pp. 204-219
Author(s):  
Cheryl L. Grady ◽  
Jenny R. Rieck ◽  
Daniel Nichol ◽  
Karen M. Rodrigue ◽  
Kristen M. Kennedy

2008 ◽  
Vol 20 (3-4) ◽  
pp. 127-140 ◽  
Author(s):  
Mark D. Allen ◽  
Alina K. Fong

Functional MRI is increasingly recognized for its potential as a powerful new tool in clinical neuropsychology. This is likely due to the fact that, with some degree of innovation, it is possible to convert practically any familiar cognitive test into one that can be performed in the MRI scanning environment. However, like any assessment approach, meaningful interpretation of fMRI data for the purpose of patient evaluation crucially requires normative data derived from a sample of unimpaired persons, against which individual patients may be compared. Currently, no such normative data are available for any fMRI-based cognitive testing protocol. In this paper, we report the first of a series of fMRI-compatible cognitive assessment protocols, a matrix reasoning test (f-MRT), for which normative samples of functional activation have been collected from unimpaired control subjects and structured in a manner that makes individual patient evaluation possible in terms of familiar z-score distributions. Practical application of the f-MRT is demonstrated via a contrastive case-study of two individuals with cognitive impairment in which fMRI data identifies subtleties in patient deficits otherwise missed by conventional measures of performance.


2008 ◽  
Vol 20 (3-4) ◽  
pp. 141-152 ◽  
Author(s):  
Mark D. Allen ◽  
Alina K. Fong

In this study, we describe an fMRI version of the verbal fluency test. This is the second in a series of fMRI adaptations of classical neuropsychological tests, for which normative samples of functional activation have been collected from unimpaired control subjects and structured in a manner that makes individual patient evaluation possible in terms of familiar z-score distributions. This fMRI protocol is shown to have strong convergent validity with the FAS phonemic fluency test and to elicit activation patterns highly consistent with a large body of previous neuroimaging studies of verbal fluency. We also present a case study, in which we report concurrent data from a patient with selective deficits in verbal processing, using both conventional neuropsychological and fMRI approaches. These analyses reveal striking correspondences between the deficits present in this patient on cognitive performance tests and the equally selective patterns of deviation present in his fMRI data.


1999 ◽  
Vol 14 (8) ◽  
pp. 442-450 ◽  
Author(s):  
E. Stip ◽  
I. Lussier ◽  
E. Ngan ◽  
A. Mendrek ◽  
P. Liddle

SummaryTo identify which improvements in cognitive function are associated with symptom resolution in schizophrenic patients treated with atypical antipsychotics. Design: a prospective open trial with atypical neuroleptics (risperidone, clozapine, quetiapine). Setting: Inpatient and outpatient units, Institute of Psychiatry. Patients: Thirty-nine patients with schizophrenia according to DSM-IV criteria were included. Clinical and cognitive assessment were done at baseline (T0) and again after six months of treatment (T2). Twenty-five patients completed the trial. Interventions: New-generation antipsychotics during six months. Patients were considered as responders if their PANSS score decreased at least 20% (n = 15) and non-responders if it did not (n = 10). Outcome measures: a computerized cognitive assessment comprised tests of short-term-memory (digit span), explicit long-term memory (word pair learning), divided attention, selective attention and verbal fluency (orthographic and semantic). Clinical assessment included PANSS and ESRS. Results: A discriminant function analysis was performed to determine which changes in cognitive performance predicted symptomatic response status. Semantic fluency and orthographic fluency were significant predictors. Together they correctly predicted responder status in 88% of cases. Memory was not a significant predictor of symptomatic response. Conclusion: Verbal fluency discriminated the responder from the non-responder group during a pharmacological treatment.


2018 ◽  
Vol 76 (9) ◽  
pp. 582-587 ◽  
Author(s):  
Karen S. Ferreira ◽  
Caroliny T. Teixeira ◽  
Carolina Cáfaro ◽  
Gabriela Z. Oliver ◽  
Gabriela L. P. Carvalho ◽  
...  

ABSTRACT The objective of the present study was to assess the presence of cognitive deficits in patients with chronic migraine, and to assess the main factors that trigger cognitive disorders, such as comorbidities or the use of medications. Methods: Chronic migraine and control groups were interviewed in a case-control study. The frequency and intensity of the headache, medication used and associated comorbidities were determined. All patients were submitted to an extended neuropsychological assessment. Results: The chronic migraine group (n = 30) had a worse performance in the Montreal Cognitive Assessment Test (p = 0.00), Verbal Fluency (p = 0.00), Stroop (p = 0.00), Clock Drawing Test (p = 0.00), Digit Span (p = 0.00) and Matrix Reasoning (p = 0.01). After statistical adjustment by linear regression, migraine continued to be the only relevant factor in the poorer performance in the Montreal Cognitive Assessment, Verbal Fluency, Clock Drawing and Stroop tests. Conclusion: Patients with chronic migraine have cognitive deficits in multiple tasks, regardless of the presence of comorbidities or the use of medications.


2019 ◽  
Vol 115 (530) ◽  
pp. 501-520 ◽  
Author(s):  
Amanda F. Mejia ◽  
Yu (Ryan) Yue ◽  
David Bolin ◽  
Finn Lindgren ◽  
Martin A. Lindquist

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