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Trimmel K, Vos SB, Binding L, Caciagli L, Xiao F, van Graan LA, Koepp MJ, Thompson PJ, Duncan JS. Naming fMRI-guided white matter language tract volumes influence naming decline after temporal lobe resection. J Neurol 2024:10.1007/s00415-024-12315-2. [PMID: 38583105 DOI: 10.1007/s00415-024-12315-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 03/08/2024] [Accepted: 03/08/2024] [Indexed: 04/08/2024]
Abstract
OBJECTIVE The aim of this study was to explore the relation of language functional MRI (fMRI)-guided tractography with postsurgical naming decline in people with temporal lobe epilepsy (TLE). METHODS Twenty patients with unilateral TLE (9 left) were studied with auditory and picture naming functional MRI tasks. Activation maxima in the left posterobasal temporal lobe were used as seed regions for whole-brain fibre tractography. Clinical naming performance was assessed preoperatively, 4 months, and 12 months following temporal lobe resection. Volumes of white matter language tracts in both hemispheres as well as tract volume laterality indices were explored as moderators of postoperative naming decline using Pearson correlations and multiple linear regression with other clinical variables. RESULTS Larger volumes of white matter language tracts derived from auditory and picture naming maxima in the hemisphere of subsequent surgery as well as stronger lateralization of picture naming tract volumes to the side of surgery correlated with greater language decline, which was independent of fMRI lateralization status. Multiple regression for picture naming tract volumes was associated with a significant decline of naming function with 100% sensitivity and 93% specificity at both short-term and long-term follow-up. INTERPRETATION Naming fMRI-guided white matter language tract volumes relate to postoperative naming decline after temporal lobe resection in people with TLE. This can assist stratification of surgical outcome and minimize risk of postoperative language deficits in TLE.
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Affiliation(s)
- Karin Trimmel
- Department of Neurology, Medical University of Vienna, Vienna, Austria.
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK.
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK.
| | - Sjoerd B Vos
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, London, UK
- Centre for Microscopy Characterisation and Analysis, University of Western Australia, Nedlands, Australia
| | - Lawrence Binding
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Lorenzo Caciagli
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
- Department of Neurology, Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fenglai Xiao
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
| | - Louis A van Graan
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
| | - Matthias J Koepp
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
| | - Pamela J Thompson
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
| | - John S Duncan
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
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Kokkinos V, Seimenis I. Concordance of verbal memory and language fMRI lateralization in people with epilepsy. J Neuroimaging 2024; 34:95-107. [PMID: 37968766 DOI: 10.1111/jon.13171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 10/29/2023] [Accepted: 11/01/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND AND PURPOSE This work investigates verbal memory functional MRI (fMRI) versus language fMRI in terms of lateralization, and assesses the validity of performing word recognition during the functional scan. METHODS Thirty patients with a diagnosis of epilepsy underwent verbal memory, visuospatial memory, and language fMRI. We used word encoding, word recognition, image encoding, and image recognition memory tasks, and semantic description, reading comprehension, and listening comprehension language tasks. We used three common lateralization metrics: network spatial distribution, maximum statistical value, and laterality index (LI). RESULTS Lateralization of signal spatial distribution resulted in poor similarity between verbal memory and language fMRI tasks. Signal maximum lateralization showed significant (>.8) but not perfect (1) similarity. Word encoding LI showed significant correlation only with listening comprehension LI (p = .016). Word recognition LI was significantly correlated with expressive language semantic description LI (p = .024) and receptive language reading and listening comprehension LIs (p = .015 and p = .019, respectively). There was no correlation between LIs of the visuospatial tasks and LIs of the language tasks. CONCLUSIONS Our results support the association between language and verbal memory lateralization, optimally determined by LI quantification, and the introduction of quantitative means for language fMRI interpretation in clinical settings where verbal memory lateralization is imperative.
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Affiliation(s)
- Vasileios Kokkinos
- Comprehensive Epilepsy Center, Northwestern Memorial Hospital, Chicago, Illinois, USA
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Medicine, School of Health Sciences, Democritus University of Thrace, Alexandroupoli, Greece
| | - Ioannis Seimenis
- Department of Medicine, School of Health Sciences, Democritus University of Thrace, Alexandroupoli, Greece
- Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Orhan Varoglu A, Avarisli A, Keskin H, Garipbas N. Comparing neuropsychological functioning in Turkish patients with right and left temporal lobe epilepsy. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-7. [PMID: 38015648 DOI: 10.1080/23279095.2023.2286504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
We compared neuropsychiatric evaluations in temporal lobe epilepsy according to the lateralized hemisphere. Forty-one (68.3%) left-sided temporal lobe epilepsy (LTLE) were compared to 19 right-sided temporal lobe epilepsy (RTLE) (31.7%) (p < 0.001). RTLE mean age was 37 (22-46) years, and LTLE mean age 38 was (30-42). RTLE disease duration was 10 (6-20) years, and LTLE was 22 (10-33) (p < 0.013). Gender (man/woman) for RTLE was 7/12, and for LTLE was 18/23. LTLE scored poorer on the Wechsler Memory Scale (WMS)-III's Mental Control Months-error, WMS-V's "Forward Number Range" and "Backward Number Range" than RTLE (p < 0.017, p < 0.023, p < 0.004). There were differences between hemispheres for "Number of Items Remembered with a Hint" and "Total number of Recalled Items" (WMS-IV) (p < 0.038, p < 0.045). LTLE had lower scores in the Verbal Fluency -K-A-S letters words and WAIS (Wechsler Adult Intelligence Scale) similarity than RTLE (p < 0.019, p < 0.024, p < 0.033, p < 0.026). Oktem and Boston-number of Self-Named Items Tests were poorer in LTLE than RTLE (p < 0.05, p < 0.043). Mental Control Months-error (WMS-III), "Total Number of Recalled Items", "Number of Items Remembered with Hint" (WMS-IV), forward and backward number range (WMS-V), Oktem, Verbal Fluency -K,-A,-S letters words, WAIS similarity, and Boston-number of Self-Named Items tests, can help identify lateralization, particularly in LTLE.
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Affiliation(s)
- Asuman Orhan Varoglu
- Department of Neurology, Istanbul Medeniyet University, Goztepe Training, and Research Hospital, Istanbul,Turkey
| | - Aysenur Avarisli
- Department of Neurology, Istanbul Medeniyet University, Goztepe Training, and Research Hospital, Istanbul,Turkey
| | - Havva Keskin
- Department of Internal Medicine, Istanbul Medeniyet University, Goztepe Training and Research Hospital, Istanbul,Turkey
| | - Nilay Garipbas
- Department of Psychiatry, Istanbul Medeniyet University, Goztepe Training, and Research Hospital, Istanbul,Turkey
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Ailion A, Duong P, Maiman M, Tsuboyama M, Smith ML. Clinical recommendations for conducting pediatric functional language and memory mapping during the phase I epilepsy presurgical workup. Clin Neuropsychol 2023:1-25. [PMID: 37985747 DOI: 10.1080/13854046.2023.2281708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/02/2023] [Indexed: 11/22/2023]
Abstract
Objective: Pediatric epilepsy surgery effectively controls seizures but may risk cognitive, language, or memory decline. Historically, the intra-carotid anesthetic procedure (IAP or Wada Test) was pivotal for language and memory function. However, advancements in noninvasive mapping, notably functional magnetic resonance imaging (fMRI), have transformed clinical practice, reducing IAP's role in presurgical evaluations. Method: We conducted a critical narrative review on mapping technologies, including factors to consider for discordance. Results: Neuropsychological findings suggest that if pre-surgery function remains intact and the surgery targets the eloquent cortex, there is a high chance for decline. Memory and language decline are particularly pronounced post-left anterior temporal lobe resection (ATL), making presurgical cognitive assessment crucial for predicting postoperative outcomes. However, the risk of functional decline is not always clear - particularly with higher rates of atypical organization in pediatric epilepsy patients and discordant findings from cognitive mapping. We found little research to date on the use of IAP and other newer technologies for lateralization/localization in pediatric epilepsy. Based on this review, we introduce an IAP decision tree to systematically navigate discordance in IAP decisions for epilepsy presurgical workup. Conclusions: Future research should be aimed at pediatric populations to improve the precision of functional mapping, determine which methods predict post-surgical deficits and then create evidence-based practice guidelines to standardize mapping procedures. Explicit directives are needed for resolving conflicts between developing mapping procedures and established clinical measures. The proposed decision tree is the first step to standardize when to consider IAP or invasive mapping, in coordination with the multidisciplinary epilepsy surgical team.
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Affiliation(s)
- Alyssa Ailion
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School
- Department of Neurology, Boston Children's Hospital, Harvard Medical School
| | - Priscilla Duong
- Department of Psychiatry, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University School of Medicine
| | - Moshe Maiman
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School
| | - Melissa Tsuboyama
- Department of Neurology, Boston Children's Hospital, Harvard Medical School
| | - Mary Lou Smith
- Department of Psychology, The Hospital for Sick Children, University of Toronto Mississauga
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Lakhani DA, Sabsevitz DS, Chaichana KL, Quiñones-Hinojosa A, Middlebrooks EH. Current State of Functional MRI in the Presurgical Planning of Brain Tumors. Radiol Imaging Cancer 2023; 5:e230078. [PMID: 37861422 DOI: 10.1148/rycan.230078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Surgical resection of brain tumors is challenging because of the delicate balance between maximizing tumor removal and preserving vital brain functions. Functional MRI (fMRI) offers noninvasive preoperative mapping of widely distributed brain areas and is increasingly used in presurgical functional mapping. However, its impact on survival and functional outcomes is still not well-supported by evidence. Task-based fMRI (tb-fMRI) maps blood oxygen level-dependent (BOLD) signal changes during specific tasks, while resting-state fMRI (rs-fMRI) examines spontaneous brain activity. rs-fMRI may be useful for patients who cannot perform tasks, but its reliability is affected by tumor-induced changes, challenges in data processing, and noise. Validation studies comparing fMRI with direct cortical stimulation (DCS) show variable concordance, particularly for cognitive functions such as language; however, concordance for tb-fMRI is generally greater than that for rs-fMRI. Preoperative fMRI, in combination with MRI tractography and intraoperative DCS, may result in improved survival and extent of resection and reduced functional deficits. fMRI has the potential to guide surgical planning and help identify targets for intraoperative mapping, but there is currently limited prospective evidence of its impact on patient outcomes. This review describes the current state of fMRI for preoperative assessment in patients undergoing brain tumor resection. Keywords: MR-Functional Imaging, CNS, Brain/Brain Stem, Anatomy, Oncology, Functional MRI, Functional Anatomy, Task-based, Resting State, Surgical Planning, Brain Tumor © RSNA, 2023.
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Affiliation(s)
- Dhairya A Lakhani
- From the Department of Radiology, West Virginia University, Morgantown, WV (D.A.L.); and Departments of Psychiatry and Psychology (D.S.S.), Neurosurgery (K.L.C., A.Q.H., E.H.M.), and Radiology (E.H.M.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - David S Sabsevitz
- From the Department of Radiology, West Virginia University, Morgantown, WV (D.A.L.); and Departments of Psychiatry and Psychology (D.S.S.), Neurosurgery (K.L.C., A.Q.H., E.H.M.), and Radiology (E.H.M.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Kaisorn L Chaichana
- From the Department of Radiology, West Virginia University, Morgantown, WV (D.A.L.); and Departments of Psychiatry and Psychology (D.S.S.), Neurosurgery (K.L.C., A.Q.H., E.H.M.), and Radiology (E.H.M.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Alfredo Quiñones-Hinojosa
- From the Department of Radiology, West Virginia University, Morgantown, WV (D.A.L.); and Departments of Psychiatry and Psychology (D.S.S.), Neurosurgery (K.L.C., A.Q.H., E.H.M.), and Radiology (E.H.M.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Erik H Middlebrooks
- From the Department of Radiology, West Virginia University, Morgantown, WV (D.A.L.); and Departments of Psychiatry and Psychology (D.S.S.), Neurosurgery (K.L.C., A.Q.H., E.H.M.), and Radiology (E.H.M.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
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Kyte EB, Holth Skogan A, Bjøråsen Baklid Å, Malmgren K, Ozanne A, Alfstad KÅ. Patients' long-term perspectives on gains and losses after temporal lobe resection for epilepsy. Epilepsy Behav 2023; 147:109400. [PMID: 37703614 DOI: 10.1016/j.yebeh.2023.109400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 07/25/2023] [Accepted: 08/19/2023] [Indexed: 09/15/2023]
Abstract
OBJECTIVE To investigate long-term (>10 years) experiences and overall satisfaction with temporal lobe resections (TLB) for epilepsy. METHODS Eligible participants were identified through the administrative epilepsy surgery registry at Oslo University Hospital. Data were collected through individual, semi-structured interviews with fifty participants. Interview records were analyzed using reflexive thematic analysis. RESULTS Participants' answers were divided into two main themes: "looking back on surgery" and"considering gains and losses from surgery". Most participants expressed satisfaction with having undergone surgery. Nevertheless, postsurgical problems had been encountered, and presurgical hopes had only partly been fulfilled. They described memory and naming problems with a major impact on daily life. Further, they had thoughts about effects on employment, independence, and feelings of loneliness, and expressed a need for more and better preoperative information. CONCLUSIONS Presurgical hopes go beyond seizure freedom and memory and naming problems are experienced lasting many years after surgery in the temporal lobe. Better preoperative information, particularly about unwanted cognitive effects, is of prime importance. By exploring patientś presurgical hopes, a common ground for expectations on surgery may be found along with strategies on how to cope with cognitive difficulties and possible negative life changes.
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Affiliation(s)
- Eli B Kyte
- The National Centre for Epilepsy, Member of the ERN EpiCARE, Oslo University Hospital, Postboks 4950, Nydalen, 0424 Oslo, Norway.
| | - Annette Holth Skogan
- The National Centre for Epilepsy, Member of the ERN EpiCARE, Oslo University Hospital, Postboks 4950, Nydalen, 0424 Oslo, Norway.
| | - Åsne Bjøråsen Baklid
- The National Centre for Epilepsy, Oslo University Hospital, Postboks 4950, Nydalen, 0424 Oslo, Norway
| | - Kristina Malmgren
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Blå stråket 7, SE-413 45 Gothenburg, Sweden; Department of Neurology, Member of ERN EpiCare, Sahlgrenska University Hospital, Blå Stråket 7, 413 46 Gothenburg, Sweden.
| | - Anneli Ozanne
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Box 100, 405 30 Gothenburg, Sweden; Department of Neurology, Member of ERN EpiCare, Sahlgrenska University Hospital, Blå Stråket 7, 413 46 Gothenburg, Sweden.
| | - Kristin Å Alfstad
- The National Centre for Epilepsy, Member of the ERN EpiCARE, Oslo University Hospital, Postboks 4950, Nydalen, 0424 Oslo, Norway.
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Babajani-Feremi A, Pourmotabbed H, Schraegle WA, Calley CS, Clarke DF, Papanicolaou AC. MEG language mapping using a novel automatic ECD algorithm in comparison with MNE, dSPM, and DICS beamformer. Front Neurosci 2023; 17:1151885. [PMID: 37332870 PMCID: PMC10272516 DOI: 10.3389/fnins.2023.1151885] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/24/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction The single equivalent current dipole (sECD) is the standard clinical procedure for presurgical language mapping in epilepsy using magnetoencephalography (MEG). However, the sECD approach has not been widely used in clinical assessments, mainly because it requires subjective judgements in selecting several critical parameters. To address this limitation, we developed an automatic sECD algorithm (AsECDa) for language mapping. Methods The localization accuracy of the AsECDa was evaluated using synthetic MEG data. Subsequently, the reliability and efficiency of AsECDa were compared to three other common source localization methods using MEG data recorded during two sessions of a receptive language task in 21 epilepsy patients. These methods include minimum norm estimation (MNE), dynamic statistical parametric mapping (dSPM), and dynamic imaging of coherent sources (DICS) beamformer. Results For the synthetic single dipole MEG data with a typical signal-to-noise ratio, the average localization error of AsECDa was less than 2 mm for simulated superficial and deep dipoles. For the patient data, AsECDa showed better test-retest reliability (TRR) of the language laterality index (LI) than MNE, dSPM, and DICS beamformer. Specifically, the LI calculated with AsECDa revealed excellent TRR between the two MEG sessions across all patients (Cor = 0.80), while the LI for MNE, dSPM, DICS-event-related desynchronization (ERD) in the alpha band, and DICS-ERD in the low beta band ranged lower (Cor = 0.71, 0.64, 0.54, and 0.48, respectively). Furthermore, AsECDa identified 38% of patients with atypical language lateralization (i.e., right lateralization or bilateral), compared to 73%, 68%, 55%, and 50% identified by DICS-ERD in the low beta band, DICS-ERD in the alpha band, MNE, and dSPM, respectively. Compared to other methods, AsECDa's results were more consistent with previous studies that reported atypical language lateralization in 20-30% of epilepsy patients. Discussion Our study suggests that AsECDa is a promising approach for presurgical language mapping, and its fully automated nature makes it easy to implement and reliable for clinical evaluations.
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Affiliation(s)
- Abbas Babajani-Feremi
- Department of Neurology, University of Florida, Gainesville, FL, United States
- Magnetoencephalography (MEG) Lab, The Norman Fixel Institute of Neurological Diseases, University of Florida Health, Gainesville, FL, United States
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, United States
| | - Haatef Pourmotabbed
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, United States
| | - William A. Schraegle
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, United States
- Comprehensive Pediatric Epilepsy Center, Dell Children’s Medical Center, Austin, TX, United States
- Department of Pediatrics, Dell Medical School, University of Texas at Austin, Austin, TX, United States
| | - Clifford S. Calley
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, United States
- Comprehensive Pediatric Epilepsy Center, Dell Children’s Medical Center, Austin, TX, United States
- Department of Pediatrics, Dell Medical School, University of Texas at Austin, Austin, TX, United States
- Department of Neurosurgery, Dell Medical School, University of Texas at Austin, Austin, TX, United States
| | - Dave F. Clarke
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, United States
- Comprehensive Pediatric Epilepsy Center, Dell Children’s Medical Center, Austin, TX, United States
- Department of Pediatrics, Dell Medical School, University of Texas at Austin, Austin, TX, United States
- Department of Neurosurgery, Dell Medical School, University of Texas at Austin, Austin, TX, United States
| | - Andrew C. Papanicolaou
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States
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Martucci M, Russo R, Schimperna F, D’Apolito G, Panfili M, Grimaldi A, Perna A, Ferranti AM, Varcasia G, Giordano C, Gaudino S. Magnetic Resonance Imaging of Primary Adult Brain Tumors: State of the Art and Future Perspectives. Biomedicines 2023; 11:biomedicines11020364. [PMID: 36830900 PMCID: PMC9953338 DOI: 10.3390/biomedicines11020364] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/20/2023] [Accepted: 01/22/2023] [Indexed: 01/28/2023] Open
Abstract
MRI is undoubtedly the cornerstone of brain tumor imaging, playing a key role in all phases of patient management, starting from diagnosis, through therapy planning, to treatment response and/or recurrence assessment. Currently, neuroimaging can describe morphologic and non-morphologic (functional, hemodynamic, metabolic, cellular, microstructural, and sometimes even genetic) characteristics of brain tumors, greatly contributing to diagnosis and follow-up. Knowing the technical aspects, strength and limits of each MR technique is crucial to correctly interpret MR brain studies and to address clinicians to the best treatment strategy. This article aimed to provide an overview of neuroimaging in the assessment of adult primary brain tumors. We started from the basilar role of conventional/morphological MR sequences, then analyzed, one by one, the non-morphological techniques, and finally highlighted future perspectives, such as radiomics and artificial intelligence.
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Affiliation(s)
- Matia Martucci
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico “A. Gemelli” IRCCS, 00168 Rome, Italy
- Correspondence:
| | - Rosellina Russo
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico “A. Gemelli” IRCCS, 00168 Rome, Italy
| | | | - Gabriella D’Apolito
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Marco Panfili
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Alessandro Grimaldi
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Alessandro Perna
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | | | - Giuseppe Varcasia
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Carolina Giordano
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Simona Gaudino
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico “A. Gemelli” IRCCS, 00168 Rome, Italy
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
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Janecek JK, Brett BL, Pillay S, Murphy H, Binder JR, Swanson SJ. Cognitive decline and quality of life after resective epilepsy surgery. Epilepsy Behav 2023; 138:109005. [PMID: 36516616 DOI: 10.1016/j.yebeh.2022.109005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 10/04/2022] [Accepted: 11/17/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVES The objectives of this study were to examine the association between cognitive decline and quality of life (QoL) change in a large sample of individuals with drug-resistant epilepsy who underwent resective surgery and to examine whether the association between cognitive decline and QoL is differentially affected by seizure classification outcome (Engel Class 1 vs. 2-4) or side of surgery (left vs. right hemisphere). MATERIALS AND METHODS The sample comprised 224 adults (ages ≥ 18) with drug-resistant focal epilepsy treated with resective surgery who underwent comprehensive pre-operative and post-operative evaluations including neuropsychological testing and the Quality of Life in Epilepsy Inventory - 31 between 1991 and 2020. Linear mixed-effects models were fit to examine subject-specific trajectories and assess the effects of time (pre- to post-operative), cognitive decline (number of measures that meaningfully declined), and the interaction between time and cognitive decline on pre- to post-operative change in QoL. RESULTS Increases in QoL following resection were observed (B = -10.72 [SE = 1.22], p < .001; mean difference between time point 1 and time point 2 QoL rating = 8.11). There was also a main effect of cognitive decline on QoL (B = -.85 [SE = .27], p = .002). Follow-up analyses showed that the number of cognitive measures that declined was significantly associated with post-surgical QoL, (r = -.20 p = .003), but not pre-surgical QoL, (r = -.04 p = .594), and with pre-to post-surgery raw change in QoL score, (r = -.18 p = .009). A cognitive decline by time point interaction was observed, such that those who had greater cognitive decline had less improvement in overall QoL following resection (B = .72 [SE = .27], p = .009). Similar results were observed within the Engel Class 1 outcome subgroup. However, within the Engel Class 2-4 outcome subgroup, QoL improved following resection, but there was no main effect of cognitive decline or interaction between cognitive decline and time point on QoL change. There was no main effect of resection hemisphere on overall QoL, nor were there interactions with hemisphere by time, hemisphere by cognitive decline, or hemisphere by time by cognitive decline. CONCLUSIONS Quality of life improves following epilepsy surgery. Participants who had cognitive decline across a greater number of measures experienced less improvement in QoL post-operatively overall, but there was no clear pattern of domain-specific cognitive decline associated with change in QoL. Our results indicate that cognitive decline in a diffuse set of cognitive domains negatively influences post-operative QoL, particularly for those who experience good seizure outcomes (i.e., seizure freedom), regardless of the site or side of resection.
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Affiliation(s)
- Julie K Janecek
- Department of Neurology, Medical College of Wisconsin, 8701 W. Watertown Plank Rd., Milwaukee, WI 53226, USA.
| | - Benjamin L Brett
- Department of Neurology, Medical College of Wisconsin, 8701 W. Watertown Plank Rd., Milwaukee, WI 53226, USA; Department of Neurosurgery, Medical College of Wisconsin, 8701 W. Watertown Plank Rd., Milwaukee, WI 53226, USA.
| | - Sara Pillay
- Department of Neurology, Medical College of Wisconsin, 8701 W. Watertown Plank Rd., Milwaukee, WI 53226, USA.
| | - Heather Murphy
- Department of Neurology, Medical College of Wisconsin, 8701 W. Watertown Plank Rd., Milwaukee, WI 53226, USA.
| | - Jeffrey R Binder
- Department of Neurology, Medical College of Wisconsin, 8701 W. Watertown Plank Rd., Milwaukee, WI 53226, USA.
| | - Sara J Swanson
- Department of Neurology, Medical College of Wisconsin, 8701 W. Watertown Plank Rd., Milwaukee, WI 53226, USA.
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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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Fetscher L, Batra M, Klose U. Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data. FRONTIERS IN RADIOLOGY 2022; 2:997330. [PMID: 37492663 PMCID: PMC10365080 DOI: 10.3389/fradi.2022.997330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 09/06/2022] [Indexed: 07/27/2023]
Abstract
Activated brain regions can be visualized and localized with the use of fMRI (functional magnetic imaging). This is based on changes in the blood flow in activated regions, or more precisely on the hemodynamic response function (HRF) and the Blood-Oxygen-Level-Dependent (BOLD) effect. This study used a task-based fMRI examination with language paradigms in order to stimulate the language areas. The measured fMRI data are frequently altered by different preprocessing steps for the analysis and the display of activations. These changes can lead to discrepancies between the displayed and the truly measured location of the activations. Simple t-maps were created with unprocessed fMRI data, to provide a more realistic representation of the language areas. HRF-dependent single-voxel fMRI signal analysis was performed to improve the analyzability of these activation maps.
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Tracy JI. fMRI Has Added Value in Predicting Naming After Epilepsy Surgery. Neurology 2022; 98:959-960. [PMID: 35410901 DOI: 10.1212/wnl.0000000000200328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Affiliation(s)
- Joseph I Tracy
- From the Department of Neurology, Comprehensive Epilepsy Center, Thomas Jefferson University, Philadelphia, PA.
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