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Pottinger TD, Motelow JE, Povysil G, Moreno CAM, Ren Z, Phatnani H, Aitman TJ, Santoyo-Lopez J, Mitsumoto H, Goldstein DB, Harms MB. Rare variant analyses validate known ALS genes in a multi-ethnic population and identifies ANTXR2 as a candidate in PLS. Res Sq 2023:rs.3.rs-3721598. [PMID: 38196621 PMCID: PMC10775375 DOI: 10.21203/rs.3.rs-3721598/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease affecting over 30,000 people in the United States. It is characterized by the progressive decline of the nervous system that leads to the weakening of muscles which impacts physical function. Approximately, 15% of individuals diagnosed with ALS have a known genetic variant that contributes to their disease. As therapies that slow or prevent symptoms, such as antisense oligonucleotides, continue to develop, it is important to discover novel genes that could be targets for treatment. Additionally, as cohorts continue to grow, performing analyses in ALS subtypes, such as primary lateral sclerosis (PLS), becomes possible due to an increase in power. These analyses could highlight novel pathways in disease manifestation. Methods Building on our previous discoveries using rare variant association analyses, we conducted rare variant burden testing on a substantially larger cohort of 6,970 ALS patients from a large multi-ethnic cohort as well as 166 PLS patients, and 22,524 controls. We used intolerant domain percentiles based on sub-region Residual Variation Intolerance Score (subRVIS) that have been described previously in conjunction with gene based collapsing approaches to conduct burden testing to identify genes that associate with ALS and PLS. Results A gene based collapsing model showed significant associations with SOD1, TARDBP, and TBK1 (OR=19.18, p = 3.67 × 10-39; OR=4.73, p = 2 × 10-10; OR=2.3, p = 7.49 × 10-9, respectively). These genes have been previously associated with ALS. Additionally, a significant novel control enriched gene, ALKBH3 (p = 4.88 × 10-7), was protective for ALS in this model. An intolerant domain based collapsing model showed a significant improvement in identifying regions in TARDBP that associated with ALS (OR=10.08, p = 3.62 × 10-16). Our PLS protein truncating variant collapsing analysis demonstrated significant case enrichment in ANTXR2 (p=8.38 × 10-6). Conclusions In a large multi-ethnic cohort of 6,970 ALS patients, rare variant burden testing validated known ALS genes and identified a novel potentially protective gene, ALKBH3. A first-ever analysis in 166 patients with PLS found a candidate association with loss-of-function mutations in ANTXR2.
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Affiliation(s)
- Tess D. Pottinger
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
- Department of Internal Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Joshua E. Motelow
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
- Department of Pediatrics, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Gundula Povysil
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
| | | | - Zhong Ren
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Hemali Phatnani
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, United States of America
- Center for Motor Neuron Biology and Disease, Columbia University Irving Medical Center, New York, New York, United States of America
- New York Genome Center, New York, New York, United States of America
| | | | - Timothy J. Aitman
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland
| | | | | | - Hiroshi Mitsumoto
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, United States of America
| | | | - David B. Goldstein
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Matthew B. Harms
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, United States of America
- Center for Motor Neuron Biology and Disease, Columbia University Irving Medical Center, New York, New York, United States of America
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Pottinger TD, Motelow JE, Povysil G, Moreno CAM, Ren Z, Phatnani H, Aitman TJ, Santoyo-Lopez J, Mitsumoto H, Goldstein DB, Harms MB. Rare variant analyses validate known ALS genes in a multi-ethnic population and identifies ANTXR2 as a candidate in PLS. medRxiv 2023:2023.09.30.23296353. [PMID: 37873269 PMCID: PMC10593055 DOI: 10.1101/2023.09.30.23296353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease affecting over 30,000 people in the United States. It is characterized by the progressive decline of the nervous system that leads to the weakening of muscles which impacts physical function. Approximately, 15% of individuals diagnosed with ALS have a known genetic variant that contributes to their disease. As therapies that slow or prevent symptoms, such as antisense oligonucleotides, continue to develop, it is important to discover novel genes that could be targets for treatment. Additionally, as cohorts continue to grow, performing analyses in ALS subtypes, such as primary lateral sclerosis (PLS), becomes possible due to an increase in power. These analyses could highlight novel pathways in disease manifestation. Methods Building on our previous discoveries using rare variant association analyses, we conducted rare variant burden testing on a substantially larger cohort of 6,970 ALS patients from a large multi-ethnic cohort as well as 166 PLS patients, and 22,524 controls. We used intolerant domain percentiles based on sub-region Residual Variation Intolerance Score (subRVIS) that have been described previously in conjunction with gene based collapsing approaches to conduct burden testing to identify genes that associate with ALS and PLS. Results A gene based collapsing model showed significant associations with SOD1, TARDBP, and TBK1 (OR=19.18, p = 3.67 × 10-39; OR=4.73, p = 2 × 10-10; OR=2.3, p = 7.49 × 10-9, respectively). These genes have been previously associated with ALS. Additionally, a significant novel control enriched gene, ALKBH3 (p = 4.88 × 10-7), was protective for ALS in this model. An intolerant domain based collapsing model showed a significant improvement in identifying regions in TARDBP that associated with ALS (OR=10.08, p = 3.62 × 10-16). Our PLS protein truncating variant collapsing analysis demonstrated significant case enrichment in ANTXR2 (p=8.38 × 10-6). Conclusions In a large multi-ethnic cohort of 6,970 ALS patients, rare variant burden testing validated known ALS genes and identified a novel potentially protective gene, ALKBH3. A first-ever analysis in 166 patients with PLS found a candidate association with loss-of-function mutations in ANTXR2.
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Affiliation(s)
- Tess D. Pottinger
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
- Department of Internal Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Joshua E. Motelow
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
- Department of Pediatrics, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Gundula Povysil
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
| | | | - Zhong Ren
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Hemali Phatnani
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, United States of America
- Center for Motor Neuron Biology and Disease, Columbia University Irving Medical Center, New York, New York, United States of America
- New York Genome Center, New York, New York, United States of America
| | | | - Timothy J. Aitman
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland
| | | | | | - Hiroshi Mitsumoto
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, United States of America
| | | | | | | | - David B. Goldstein
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Matthew B. Harms
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, United States of America
- Center for Motor Neuron Biology and Disease, Columbia University Irving Medical Center, New York, New York, United States of America
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Bomback M, Everett S, Lyford A, Sahni R, Kim F, Baptiste C, Motelow JE, Tolia V, Clark R, Hays T. The Contribution of Commonly Diagnosed Genetic Disorders to Small for Gestational Age Birth and Subsequent Morbidity and Mortality in Preterm Infants. medRxiv 2023:2023.07.14.23292682. [PMID: 37503041 PMCID: PMC10371189 DOI: 10.1101/2023.07.14.23292682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Objective Preterm infants born small, vs. appropriate for gestational age (SGA, AGA) are at greater risk for morbidity and mortality. The contribution of genetic disorders to preterm SGA birth, morbidity, and mortality is unknown. We sought to determine the association between genetic disorders and preterm SGA birth, and the association between genetic disorders and morbidity or mortality within preterm SGA infants. We hypothesized that genetic disorders were significantly associated with both. Study Design This was a retrospective multicenter cohort study of 409 339 infants, born 23-33 weeks' gestation between 2000 and 2020. The odds of preterm SGA (vs AGA) birth, and the odds of severe morbidity or mortality within SGA preterm infants were determined for infants with genetic disorders, after adjusting for known risk factors. Results Genetic disorders were present in 3.0 and 1.3% of SGA and AGA preterm infants respectively; genetic disorders conferred an aOR (95% CI) of 2.06 (1.92, 2.21) of SGA birth. Genetic disorders were present in 4.3 of preterm SGA infants with morbidity or mortality and 2.1% of preterm SGA infants that did not experience morbidity or mortality. Genetic disorders conferred an aOR (95% CI) of 2.12 (2.66, 3.08) of morbidity or mortality. Conclusions Genetic disorders are strongly associated with preterm SGA birth, morbidity, and mortality. Clinicians should consider genetic testing of preterm SGA infants, particularly in the setting of other comorbidities or anomalies. Prospective, genomic research is needed to clarify the contribution of genetic disorders to disease in this population.
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Rogerson D, Alkelai A, Giordano J, Pantrangi M, Hsiao MC, Nhan-Chang CL, Motelow JE, Aggarwal V, Goldstein D, Wapner R, Shawber CJ. Investigation into the genetics of fetal congenital lymphatic anomalies. Prenat Diagn 2023; 43:703-716. [PMID: 36959127 PMCID: PMC10330091 DOI: 10.1002/pd.6345] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 02/10/2023] [Accepted: 03/12/2023] [Indexed: 03/25/2023]
Abstract
OBJECTIVE Congenital lymphatic anomalies (LAs) arise due to defects in lymphatic development and often present in utero as pleural effusion, chylothorax, nuchal and soft tissue edema, ascites, or hydrops. Many LAs are caused by single nucleotide variants, which are not detected on routine prenatal testing. METHODS Demographic data were compared between two subcohorts, those with clinically significant fetal edema (CSFE) and isolated fetal edema. A targeted variant analysis of LA genes was performed using American College of Medical Genetics criteria on whole exome sequencing (WES) data generated for 71 fetal edema cases who remained undiagnosed after standard workup. RESULTS CSFE cases had poor outcomes, including preterm delivery, demise, and maternal preeclampsia. Pathogenic and likely pathogenic variants were identified in 7% (5/71) of cases, including variants in RASopathy genes, RASA1, SOS1, PTPN11, and a novel PIEZO1 variant. Variants of uncertain significance (VOUS) were identified in 45% (32/71) of cases. In CSFEs, VOUS were found in CELSR1, EPHB4, TIE1, PIEZO1, ITGA9, RASopathy genes, SOS1, SOS2, and RAF1. CONCLUSIONS WES identified pathogenic and likely pathogenic variants and VOUS in LA genes in 51% of fetal edema cases, supporting WES and expanded hydrops panels in cases of idiopathic fetal hydrops and fluid collections.
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Affiliation(s)
- Daniella Rogerson
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
- Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Anna Alkelai
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Jessica Giordano
- Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Madhulatha Pantrangi
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Meng-Chang Hsiao
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Chia-Ling Nhan-Chang
- Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Joshua E. Motelow
- Department of Pediatrics, Columbia University Vagelos College of Physicians andSurgeons, New York, New York, USA
| | - Vimla Aggarwal
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - David Goldstein
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Ron Wapner
- Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Carrie J. Shawber
- Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
- Department of Surgery, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
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5
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Alkelai A, Greenbaum L, Shohat S, Povysil G, Malakar A, Ren Z, Motelow JE, Schechter T, Draiman B, Chitrit-Raveh E, Hughes D, Jobanputra V, Shifman S, Goldstein DB, Kohn Y. Genetic insights into childhood-onset schizophrenia: The yield of clinical exome sequencing. Schizophr Res 2023; 252:138-145. [PMID: 36645932 DOI: 10.1016/j.schres.2022.12.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 12/19/2022] [Accepted: 12/26/2022] [Indexed: 01/15/2023]
Abstract
Childhood-onset schizophrenia (COS) is a rare form of schizophrenia with an onset prior to 13 years of age. Although genetic factors play a role in COS etiology, only a few causal variants have been reported to date. This study presents a diagnostic exome sequencing (ES) in 37 Israeli Jewish families with a proband diagnosed with COS. By implementing a trio/duo ES approach and applying a well-established diagnostic pipeline, we detected clinically significant variants in 7 probands (19 %). These single nucleotide variants and indels were mostly inherited. The implicated genes were ANKRD11, GRIA2, CHD2, CLCN3, CLTC, IGF1R and MICU1. In a secondary analysis that compared COS patients to 4721 healthy controls, we observed that patients had a significant enrichment of rare loss of function (LoF) variants in LoF intolerant genes associated with developmental diseases. Taken together, ES could be considered as a valuable tool in the genetic workup for COS patients.
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Affiliation(s)
- Anna Alkelai
- Institute for Genomic Medicine, Columbia University Medical Center, New York, USA; Regeneron Genetics Center, Tarrytown, NY, USA.
| | - Lior Greenbaum
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel; The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel; Sackler Faculty of Medicine, Tal Aviv University, Tel Aviv, Israel
| | - Shahar Shohat
- Department of Genetics, The Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Gundula Povysil
- Institute for Genomic Medicine, Columbia University Medical Center, New York, USA
| | - Ayan Malakar
- Institute for Genomic Medicine, Columbia University Medical Center, New York, USA
| | - Zhong Ren
- Institute for Genomic Medicine, Columbia University Medical Center, New York, USA
| | - Joshua E Motelow
- Institute for Genomic Medicine, Columbia University Medical Center, New York, USA; Department of Pediatrics, Division of Critical Care and Hospital Medicine, Columbia University Irving Medical Center, New York-Presbyterian Morgan Stanley Children's Hospital of New York, New York, NY, USA
| | - Tanya Schechter
- Department of Child and Adolescent Psychiatry, Jerusalem Mental Health Center, Eitanim Psychiatric Hospital, Israel
| | - Benjamin Draiman
- Department of Child and Adolescent Psychiatry, Jerusalem Mental Health Center, Eitanim Psychiatric Hospital, Israel
| | - Eti Chitrit-Raveh
- Department of Child and Adolescent Psychiatry, Jerusalem Mental Health Center, Eitanim Psychiatric Hospital, Israel
| | - Daniel Hughes
- Institute for Genomic Medicine, Columbia University Medical Center, New York, USA
| | - Vaidehi Jobanputra
- Department of Pathology and Cell Biology, Columbia University, New York, NY, USA; New York Genome Center, New York, NY, USA
| | - Sagiv Shifman
- Department of Genetics, The Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University Medical Center, New York, USA
| | - Yoav Kohn
- Department of Child and Adolescent Psychiatry, Jerusalem Mental Health Center, Eitanim Psychiatric Hospital, Israel; Hadassah-Hebrew University School of Medicine, Jerusalem, Israel
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Motelow JE, Lippa NC, Hostyk J, Feldman E, Nelligan M, Ren Z, Alkelai A, Milner JD, Gharavi AG, Tang Y, Goldstein DB, Kernie SG. Risk Variants in the Exomes of Children With Critical Illness. JAMA Netw Open 2022; 5:e2239122. [PMID: 36306130 PMCID: PMC9617179 DOI: 10.1001/jamanetworkopen.2022.39122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Diagnostic genetic testing can lead to changes in management in the pediatric intensive care unit. Genetic risk in children with critical illness but nondiagnostic exome sequencing (ES) has not been explored. OBJECTIVE To assess the association between loss-of-function (LOF) variants and pediatric critical illness. DESIGN, SETTING, AND PARTICIPANTS This genetic association study examined ES first screened for causative variants among 267 children at the Morgan Stanley Children's Hospital of NewYork-Presbyterian, of whom 22 were otherwise healthy with viral respiratory failure; 18 deceased children with bronchiolitis from the Office of the Chief Medical Examiner of New York City, of whom 14 were previously healthy; and 9990 controls from the Institute for Genomic Medicine at Columbia University Irving Medical Center. The ES data were generated between January 1, 2015, and December 31, 2020, and analyzed between January 1, 2017, and September 2, 2022. EXPOSURE Critical illness. MAIN OUTCOMES AND MEASURES Odds ratios and P values for genes and gene-sets enriched for rare LOF variants and the loss-of-function observed/expected upper bound fraction (LOEUF) score at which cases have a significant enrichment. RESULTS This study included 285 children with critical illness (median [range] age, 4.1 [0-18.9] years; 148 [52%] male) and 9990 controls. A total of 228 children (80%) did not receive a genetic diagnosis. After quality control (QC), 231 children harbored excess rare LOF variants in genes with a LOEUF score of 0.680 or less (intolerant genes) (P = 1.0 × 10-5). After QC, 176 children without a diagnosis harbored excess ultrarare LOF variants in intolerant genes but only in those without a known disease association (odds ratio, 1.8; 95% CI, 1.3-2.5). After QC, 25 children with viral respiratory failure harbored excess ultrarare LOF variants in intolerant genes but only in those without a known disease association (odds ratio, 2.8; 95% CI, 1.1-6.6). A total of 114 undiagnosed children were enriched for de novo LOF variants in genes without a known disease association (observed, 14; expected, 6.8; enrichment, 2.05). CONCLUSIONS AND RELEVANCE In this genetic association study, excess LOF variants were observed among critically ill children despite nondiagnostic ES. Variants lay in genes without a known disease association, suggesting future investigation may connect phenotypes to causative genes.
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Affiliation(s)
- Joshua E. Motelow
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York
- Division of Critical Care and Hospital Medicine, Department of Pediatrics, Columbia University Irving Medical Center, NewYork-Presbyterian Morgan Stanley Children's Hospital, New York, New York
| | - Natalie C. Lippa
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York
| | - Joseph Hostyk
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York
| | - Evin Feldman
- Division of Critical Care and Hospital Medicine, Department of Pediatrics, Columbia University Irving Medical Center, NewYork-Presbyterian Morgan Stanley Children's Hospital, New York, New York
| | - Matthew Nelligan
- Division of Critical Care and Hospital Medicine, Department of Pediatrics, Columbia University Irving Medical Center, NewYork-Presbyterian Morgan Stanley Children's Hospital, New York, New York
| | - Zhong Ren
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York
| | - Anna Alkelai
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York
- Regeneron Genetics Center, Regeneron Pharmaceuticals, Tarrytown, New York
| | | | - Ali G. Gharavi
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, NewYork-Presbyterian, New York, New York
| | - Yingying Tang
- Molecular Genetics Laboratory, New York City Office of Chief Medical Examiner, New York, New York
| | - David B. Goldstein
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York
| | - Steven G. Kernie
- Division of Critical Care and Hospital Medicine, Department of Pediatrics, Columbia University Irving Medical Center, NewYork-Presbyterian Morgan Stanley Children's Hospital, New York, New York
- NewYork-Presbyterian Hospital, New York, New York
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7
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Green TE, Motelow JE, Bennett MF, Ye Z, Bennett CA, Griffin NG, Damiano JA, Leventer RJ, Freeman JL, Harvey AS, Lockhart PJ, Sadleir LG, Boys A, Scheffer IE, Major H, Darbro BW, Bahlo M, Goldstein DB, Kerrigan JF, Heinzen EL, Berkovic SF, Hildebrand MS. Sporadic hypothalamic hamartoma is a ciliopathy with somatic and bi-allelic contributions. Hum Mol Genet 2022; 31:2307-2316. [PMID: 35137044 PMCID: PMC9307310 DOI: 10.1093/hmg/ddab366] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 12/02/2021] [Accepted: 12/15/2021] [Indexed: 11/13/2022] Open
Abstract
Hypothalamic hamartoma with gelastic seizures is a well-established cause of drug-resistant epilepsy in early life. The development of novel surgical techniques has permitted the genomic interrogation of hypothalamic hamartoma tissue. This has revealed causative mosaic variants within GLI3, OFD1 and other key regulators of the sonic-hedgehog pathway in a minority of cases. Sonic-hedgehog signalling proteins localize to the cellular organelle primary cilia. We therefore explored the hypothesis that cilia gene variants may underlie hitherto unsolved cases of sporadic hypothalamic hamartoma. We performed high-depth exome sequencing and chromosomal microarray on surgically resected hypothalamic hamartoma tissue and paired leukocyte-derived DNA from 27 patients. We searched for both germline and somatic variants under both dominant and bi-allelic genetic models. In hamartoma-derived DNA of seven patients we identified bi-allelic (one germline, one somatic) variants within one of four cilia genes-DYNC2I1, DYNC2H1, IFT140 or SMO. In eight patients, we identified single somatic variants in the previously established hypothalamic hamartoma disease genes GLI3 or OFD1. Overall, we established a plausible molecular cause for 15/27 (56%) patients. Here, we expand the genetic architecture beyond single variants within dominant disease genes that cause sporadic hypothalamic hamartoma to bi-allelic (one germline/one somatic) variants, implicate three novel cilia genes and reconceptualize the disorder as a ciliopathy.
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Affiliation(s)
- Timothy E Green
- Epilepsy Research Centre, Department of Medicine, The University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia
| | - Joshua E Motelow
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA
| | - Mark F Bennett
- Epilepsy Research Centre, Department of Medicine, The University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria 3052, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, Victoria 3052, Australia
| | - Zimeng Ye
- Epilepsy Research Centre, Department of Medicine, The University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia
| | - Caitlin A Bennett
- Epilepsy Research Centre, Department of Medicine, The University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia
| | - Nicole G Griffin
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA
| | - John A Damiano
- Epilepsy Research Centre, Department of Medicine, The University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia
| | - Richard J Leventer
- Department of Neurology, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, VIC 3052, Australia
- Murdoch Children’s Research Institute, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
| | - Jeremy L Freeman
- Department of Neurology, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
- Murdoch Children’s Research Institute, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
| | - A Simon Harvey
- Department of Neurology, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, VIC 3052, Australia
- Murdoch Children’s Research Institute, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
| | - Paul J Lockhart
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, VIC 3052, Australia
- Murdoch Children’s Research Institute, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
| | - Lynette G Sadleir
- Department of Paediatrics and Child Health, University of Otago, Wellington 6242, New Zealand
| | - Amber Boys
- Victorian Clinical Genetics Services, Parkville, VIC 3052, Australia
| | - Ingrid E Scheffer
- Epilepsy Research Centre, Department of Medicine, The University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia
- Department of Neurology, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
- Murdoch Children’s Research Institute, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia
| | - Heather Major
- Department of Pediatrics, The University of Iowa, Iowa City, IA 52246, USA
| | - Benjamin W Darbro
- Department of Pediatrics, The University of Iowa, Iowa City, IA 52246, USA
| | - Melanie Bahlo
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria 3052, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, Victoria 3052, Australia
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA
- Department of Genetics and Development, Columbia University, New York, NY 10032, USA
| | - John F Kerrigan
- Division of Pediatric Neurology, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ 85013, USA
| | - Erin L Heinzen
- Eshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics, and Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Samuel F Berkovic
- Epilepsy Research Centre, Department of Medicine, The University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia
| | - Michael S Hildebrand
- Epilepsy Research Centre, Department of Medicine, The University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia
- Murdoch Children’s Research Institute, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
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Koko M, Motelow JE, Stanley KE, Bobbili DR, Dhindsa RS, May P. Association of ultra-rare coding variants with genetic generalized epilepsy: A case-control whole exome sequencing study. Epilepsia 2022; 63:723-735. [PMID: 35032048 PMCID: PMC8891088 DOI: 10.1111/epi.17166] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/29/2021] [Accepted: 12/29/2021] [Indexed: 01/18/2023]
Abstract
OBJECTIVE We aimed to identify genes associated with genetic generalized epilepsy (GGE) by combining large cohorts enriched with individuals with a positive family history. Secondarily, we set out to compare the association of genes independently with familial and sporadic GGE. METHODS We performed a case-control whole exome sequencing study in unrelated individuals of European descent diagnosed with GGE (previously recruited and sequenced through multiple international collaborations) and ancestry-matched controls. The association of ultra-rare variants (URVs; in 18 834 protein-coding genes) with epilepsy was examined in 1928 individuals with GGE (vs. 8578 controls), then separately in 945 individuals with familial GGE (vs. 8626 controls), and finally in 1005 individuals with sporadic GGE (vs. 8621 controls). We additionally examined the association of URVs with familial and sporadic GGE in two gene sets important for inhibitory signaling (19 genes encoding γ-aminobutyric acid type A [GABAA ] receptors, 113 genes representing the GABAergic pathway). RESULTS GABRG2 was associated with GGE (p = 1.8 × 10-5 ), approaching study-wide significance in familial GGE (p = 3.0 × 10-6 ), whereas no gene approached a significant association with sporadic GGE. Deleterious URVs in the most intolerant subgenic regions in genes encoding GABAA receptors were associated with familial GGE (odds ratio [OR] = 3.9, 95% confidence interval [CI] = 1.9-7.8, false discovery rate [FDR]-adjusted p = .0024), whereas their association with sporadic GGE had marginally lower odds (OR = 3.1, 95% CI = 1.3-6.7, FDR-adjusted p = .022). URVs in GABAergic pathway genes were associated with familial GGE (OR = 1.8, 95% CI = 1.3-2.5, FDR-adjusted p = .0024) but not with sporadic GGE (OR = 1.3, 95% CI = .9-1.9, FDR-adjusted p = .19). SIGNIFICANCE URVs in GABRG2 are likely an important risk factor for familial GGE. The association of gene sets of GABAergic signaling with familial GGE is more prominent than with sporadic GGE.
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Affiliation(s)
- Mahmoud Koko
- Hertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany
| | - Joshua E. Motelow
- Institute for Genomic Medicine, Columbia University, 10032 New York, USA
| | - Kate E. Stanley
- Institute for Genomic Medicine, Columbia University, 10032 New York, USA
| | - Dheeraj R. Bobbili
- Luxembourg Centre for Systems Biomedicine, University Luxembourg, 4367 Belvaux, Luxembourg
| | - Ryan S. Dhindsa
- Institute for Genomic Medicine, Columbia University, 10032 New York, USA
| | - Patrick May
- Luxembourg Centre for Systems Biomedicine, University Luxembourg, 4367 Belvaux, Luxembourg
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9
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Zoghbi AW, Dhindsa RS, Goldberg TE, Mehralizade A, Motelow JE, Wang X, Alkelai A, Harms MB, Lieberman JA, Markx S, Goldstein DB. High-impact rare genetic variants in severe schizophrenia. Proc Natl Acad Sci U S A 2021; 118:e2112560118. [PMID: 34903660 PMCID: PMC8713775 DOI: 10.1073/pnas.2112560118] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2021] [Indexed: 02/04/2023] Open
Abstract
Extreme phenotype sequencing has led to the identification of high-impact rare genetic variants for many complex disorders but has not been applied to studies of severe schizophrenia. We sequenced 112 individuals with severe, extremely treatment-resistant schizophrenia, 218 individuals with typical schizophrenia, and 4,929 controls. We compared the burden of rare, damaging missense and loss-of-function variants between severe, extremely treatment-resistant schizophrenia, typical schizophrenia, and controls across mutation intolerant genes. Individuals with severe, extremely treatment-resistant schizophrenia had a high burden of rare loss-of-function (odds ratio, 1.91; 95% CI, 1.39 to 2.63; P = 7.8 × 10-5) and damaging missense variants in intolerant genes (odds ratio, 2.90; 95% CI, 2.02 to 4.15; P = 3.2 × 10-9). A total of 48.2% of individuals with severe, extremely treatment-resistant schizophrenia carried at least one rare, damaging missense or loss-of-function variant in intolerant genes compared to 29.8% of typical schizophrenia individuals (odds ratio, 2.18; 95% CI, 1.33 to 3.60; P = 1.6 × 10-3) and 25.4% of controls (odds ratio, 2.74; 95% CI, 1.85 to 4.06; P = 2.9 × 10-7). Restricting to genes previously associated with schizophrenia risk strengthened the enrichment with 8.9% of individuals with severe, extremely treatment-resistant schizophrenia carrying a damaging missense or loss-of-function variant compared to 2.3% of typical schizophrenia (odds ratio, 5.48; 95% CI, 1.52 to 19.74; P = 0.02) and 1.6% of controls (odds ratio, 5.82; 95% CI, 3.00 to 11.28; P = 2.6 × 10-8). These results demonstrate the power of extreme phenotype case selection in psychiatric genetics and an approach to augment schizophrenia gene discovery efforts.
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Affiliation(s)
- Anthony W Zoghbi
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX 77030;
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030
- Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY 10032
- Institute of Genomic Medicine, Columbia University Irving Medical Center, New York, NY 10032
- Office of Mental Health, New York State Psychiatric Institute, New York, NY 10032
| | - Ryan S Dhindsa
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030
- Institute of Genomic Medicine, Columbia University Irving Medical Center, New York, NY 10032
- Department of Molecular and Human Genetics, Jan and Dan Duncan Neurological Research Institute, Houston, TX 77030
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032
| | - Terry E Goldberg
- Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY 10032
- Office of Mental Health, New York State Psychiatric Institute, New York, NY 10032
- Department of Anesthesiology, Columbia University Irving Medical Center, New York, NY 10032
| | - Aydan Mehralizade
- Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY 10032
- Office of Mental Health, New York State Psychiatric Institute, New York, NY 10032
| | - Joshua E Motelow
- Institute of Genomic Medicine, Columbia University Irving Medical Center, New York, NY 10032
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032
- Department of Pediatrics, Division of Critical Care and Hospital Medicine, Columbia University Irving Medical Center, New York-Presbyterian Morgan Stanley Children's Hospital of New York, New York, NY 10032
| | - Xinchen Wang
- Institute of Genomic Medicine, Columbia University Irving Medical Center, New York, NY 10032
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032
- Waypoint Bio, New York, NY 10014
| | - Anna Alkelai
- Institute of Genomic Medicine, Columbia University Irving Medical Center, New York, NY 10032
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032
| | - Matthew B Harms
- Institute of Genomic Medicine, Columbia University Irving Medical Center, New York, NY 10032
- Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032
- Center for Motor Neuron Biology and Disease, Columbia University Irving Medical Center, New York, NY 10032
| | - Jeffrey A Lieberman
- Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY 10032
- Office of Mental Health, New York State Psychiatric Institute, New York, NY 10032
| | - Sander Markx
- Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY 10032;
- Office of Mental Health, New York State Psychiatric Institute, New York, NY 10032
| | - David B Goldstein
- Institute of Genomic Medicine, Columbia University Irving Medical Center, New York, NY 10032;
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032
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Motelow JE, Povysil G, Dhindsa RS, Stanley KE, Allen AS, Feng YCA, Howrigan DP, Abbott LE, Tashman K, Cerrato F, Cusick C, Singh T, Heyne H, Byrnes AE, Churchhouse C, Watts N, Solomonson M, Lal D, Gupta N, Neale BM, Cavalleri GL, Cossette P, Cotsapas C, De Jonghe P, Dixon-Salazar T, Guerrini R, Hakonarson H, Heinzen EL, Helbig I, Kwan P, Marson AG, Petrovski S, Kamalakaran S, Sisodiya SM, Stewart R, Weckhuysen S, Depondt C, Dlugos DJ, Scheffer IE, Striano P, Freyer C, Krause R, May P, McKenna K, Regan BM, Bennett CA, Leu C, Leech SL, O’Brien TJ, Todaro M, Stamberger H, Andrade DM, Ali QZ, Sadoway TR, Krestel H, Schaller A, Papacostas SS, Kousiappa I, Tanteles GA, Christou Y, Štěrbová K, Vlčková M, Sedláčková L, Laššuthová P, Klein KM, Rosenow F, Reif PS, Knake S, Neubauer BA, Zimprich F, Feucht M, Reinthaler EM, Kunz WS, Zsurka G, Surges R, Baumgartner T, von Wrede R, Pendziwiat M, Muhle H, Rademacher A, van Baalen A, von Spiczak S, Stephani U, Afawi Z, Korczyn AD, Kanaan M, Canavati C, Kurlemann G, Müller-Schlüter K, Kluger G, Häusler M, Blatt I, Lemke JR, Krey I, Weber YG, Wolking S, Becker F, Lauxmann S, Boßelmann C, Kegele J, Hengsbach C, Rau S, Steinhoff BJ, Schulze-Bonhage A, Borggräfe I, Schankin CJ, Schubert-Bast S, Schreiber H, Mayer T, Korinthenberg R, Brockmann K, Wolff M, Dennig D, Madeleyn R, Kälviäinen R, Saarela A, Timonen O, Linnankivi T, Lehesjoki AE, Rheims S, Lesca G, Ryvlin P, Maillard L, Valton L, Derambure P, Bartolomei F, Hirsch E, Michel V, Chassoux F, Rees MI, Chung SK, Pickrell WO, Powell R, Baker MD, Fonferko-Shadrach B, Lawthom C, Anderson J, Schneider N, Balestrini S, Zagaglia S, Braatz V, Johnson MR, Auce P, Sills GJ, Baum LW, Sham PC, Cherny SS, Lui CH, Delanty N, Doherty CP, Shukralla A, El-Naggar H, Widdess-Walsh P, Barišić N, Canafoglia L, Franceschetti S, Castellotti B, Granata T, Ragona F, Zara F, Iacomino M, Riva A, Madia F, Vari MS, Salpietro V, Scala M, Mancardi MM, Nobili L, Amadori E, Giacomini T, Bisulli F, Pippucci T, Licchetta L, Minardi R, Tinuper P, Muccioli L, Mostacci B, Gambardella A, Labate A, Annesi G, Manna L, Gagliardi M, Parrini E, Mei D, Vetro A, Bianchini C, Montomoli M, Doccini V, Barba C, Hirose S, Ishii A, Suzuki T, Inoue Y, Yamakawa K, Beydoun A, Nasreddine W, Khoueiry Zgheib N, Tumiene B, Utkus A, Sadleir LG, King C, Caglayan SH, Arslan M, Yapıcı Z, Topaloglu P, Kara B, Yis U, Turkdogan D, Gundogdu-Eken A, Bebek N, Uğur-İşeri S, Baykan B, Salman B, Haryanyan G, Yücesan E, Kesim Y, Özkara Ç, Tsai MH, Ho CJ, Lin CH, Lin KL, Chou IJ, Poduri A, Shiedley BR, Shain C, Noebels JL, Goldman A, Busch RM, Jehi L, Najm IM, Ferguson L, Khoury J, Glauser TA, Clark PO, Buono RJ, Ferraro TN, Sperling MR, Lo W, Privitera M, French JA, Schachter S, Kuzniecky RI, Devinsky O, Hegde M, Greenberg DA, Ellis CA, Goldberg E, Helbig KL, Cosico M, Vaidiswaran P, Fitch E, Berkovic SF, Lerche H, Lowenstein DH, Goldstein DB. Sub-genic intolerance, ClinVar, and the epilepsies: A whole-exome sequencing study of 29,165 individuals. Am J Hum Genet 2021; 108:2024. [PMID: 34626584 DOI: 10.1016/j.ajhg.2021.08.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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11
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Banker SL, Motelow JE, LaRosa JM. Engaging paediatric residents through a journal club podcast. Med Educ 2020; 54:1059-1060. [PMID: 32857871 DOI: 10.1111/medu.14336] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 07/29/2020] [Indexed: 06/11/2023]
Affiliation(s)
- Sumeet L Banker
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Joshua E Motelow
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Jessica M LaRosa
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
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12
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Feng L, Motelow JE, Ma C, Biche W, McCafferty C, Smith N, Liu M, Zhan Q, Jia R, Xiao B, Duque A, Blumenfeld H. Seizures and Sleep in the Thalamus: Focal Limbic Seizures Show Divergent Activity Patterns in Different Thalamic Nuclei. J Neurosci 2017; 37:11441-11454. [PMID: 29066556 PMCID: PMC5700426 DOI: 10.1523/jneurosci.1011-17.2017] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Revised: 10/09/2017] [Accepted: 10/14/2017] [Indexed: 01/12/2023] Open
Abstract
The thalamus plays diverse roles in cortical-subcortical brain activity patterns. Recent work suggests that focal temporal lobe seizures depress subcortical arousal systems and convert cortical activity into a pattern resembling slow-wave sleep. The potential simultaneous and paradoxical role of the thalamus in both limbic seizure propagation, and in sleep-like cortical rhythms has not been investigated. We recorded neuronal activity from the central lateral (CL), anterior (ANT), and ventral posteromedial (VPM) nuclei of the thalamus in an established female rat model of focal limbic seizures. We found that population firing of neurons in CL decreased during seizures while the cortex exhibited slow waves. In contrast, ANT showed a trend toward increased neuronal firing compatible with polyspike seizure discharges seen in the hippocampus. Meanwhile, VPM exhibited a remarkable increase in sleep spindles during focal seizures. Single-unit juxtacellular recordings from CL demonstrated reduced overall firing rates, but a switch in firing pattern from single spikes to burst firing during seizures. These findings suggest that different thalamic nuclei play very different roles in focal limbic seizures. While limbic nuclei, such as ANT, appear to participate directly in seizure propagation, arousal nuclei, such as CL, may contribute to depressed cortical function, whereas sleep spindles in relay nuclei, such as VPM, may interrupt thalamocortical information flow. These combined effects could be critical for controlling both seizure severity and impairment of consciousness. Further understanding of differential effects of seizures on different thalamocortical networks may lead to improved treatments directly targeting these modes of impaired function.SIGNIFICANCE STATEMENT Temporal lobe epilepsy has a major negative impact on quality of life. Previous work suggests that the thalamus plays a critical role in thalamocortical network modulation and subcortical arousal maintenance, but its precise seizure-associated functions are not known. We recorded neuronal activity in three different thalamic regions and found divergent activity patterns, which may respectively participate in seizure propagation, impaired level of conscious arousal, and altered relay of information to the cortex during focal limbic seizures. These very different activity patterns within the thalamus may help explain why focal temporal lobe seizures often disrupt widespread network function, and can help guide future treatments aimed at restoring normal thalamocortical network activity and cognition.
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Affiliation(s)
- Li Feng
- Departments of Neurology
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China, and
| | | | | | | | | | | | | | - Qiong Zhan
- Department of Neurology, the Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | | | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China, and
| | | | - Hal Blumenfeld
- Departments of Neurology,
- Neuroscience, and
- Neurosurgery, Yale University School of Medicine, New Haven, Connecticut 06520
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13
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Zhan Q, Buchanan GF, Motelow JE, Andrews J, Vitkovskiy P, Chen WC, Serout F, Gummadavelli A, Kundishora A, Furman M, Li W, Bo X, Richerson GB, Blumenfeld H. Impaired Serotonergic Brainstem Function during and after Seizures. J Neurosci 2016; 36:2711-22. [PMID: 26937010 PMCID: PMC4879214 DOI: 10.1523/jneurosci.4331-15.2016] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Revised: 01/11/2016] [Accepted: 01/23/2016] [Indexed: 12/30/2022] Open
Abstract
Impaired breathing, cardiac function, and arousal during and after seizures are important causes of morbidity and mortality. Previous work suggests that these changes are associated with depressed brainstem function in the ictal and post-ictal periods. Lower brainstem serotonergic systems are postulated to play an important role in cardiorespiratory changes during and after seizures, whereas upper brainstem serotonergic and other systems regulate arousal. However, direct demonstration of seizure-associated neuronal activity changes in brainstem serotonergic regions has been lacking. Here, we performed multiunit and single-unit recordings from medullary raphe and midbrain dorsal raphe nuclei in an established rat seizure model while measuring changes in breathing rate and depth as well as heart rate. Serotonergic neurons were identified by immunohistochemistry. Respiratory rate, tidal volume, and minute ventilation were all significantly decreased during and after seizures in this model. We found that population firing of neurons in the medullary and midbrain raphe on multiunit recordings was significantly decreased during the ictal and post-ictal periods. Single-unit recordings from identified serotonergic neurons in the medullary raphe revealed highly consistently decreased firing during and after seizures. In contrast, firing of midbrain raphe serotonergic neurons was more variable, with a mixture of increases and decreases. The markedly suppressed firing of medullary serotonergic neurons supports their possible role in simultaneously impaired cardiorespiratory function in seizures. Decreased arousal likely arises from depressed population activity of several neuronal pools in the upper brainstem and forebrain. These findings have important implications for preventing morbidity and mortality in people living with epilepsy. SIGNIFICANCE STATEMENT Seizures often cause impaired breathing, cardiac dysfunction, and loss of consciousness. The brainstem and, specifically, brainstem serotonin neurons are thought to play an important role in controlling breathing, cardiac function, and arousal. We used an established rat seizure model to study the overall neuronal activity in the brainstem as well as firing of specific serotonin neurons while measuring cardiorespiratory function. Our results demonstrated overall decreases in brainstem neuronal activity and marked downregulation of lower brainstem serotonin neuronal firing in association with decreased breathing and heart rate during and after seizures. These findings point the way toward new treatments to augment brainstem function and serotonin, aiming to prevent seizure complications and reduce morbidity and mortality in people living with epilepsy.
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Affiliation(s)
- Qiong Zhan
- Departments of Neurology, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China, Department of Neurology, the Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | | | | | | | | | | | | | | | | | | | - Wei Li
- Departments of Neurology, Department of Neurosurgery, Jinling Hospital, School of Medicine Nanjing University, Nanjing Jiangsu 210002, China, and
| | - Xiao Bo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - George B Richerson
- Departments of Neurology and Molecular Physiology and Biophysics, and Veterans Affairs Medical Center, Iowa City, Iowa 52246
| | - Hal Blumenfeld
- Departments of Neurology, Neuroscience, and Neurosurgery, Yale University School of Medicine, New Haven, Connecticut 06520,
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Furman M, Zhan Q, McCafferty C, Lerner BA, Motelow JE, Meng J, Ma C, Buchanan GF, Witten IB, Deisseroth K, Cardin JA, Blumenfeld H. Optogenetic stimulation of cholinergic brainstem neurons during focal limbic seizures: Effects on cortical physiology. Epilepsia 2015; 56:e198-202. [PMID: 26530287 PMCID: PMC4679683 DOI: 10.1111/epi.13220] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/22/2015] [Indexed: 11/30/2022]
Abstract
Focal temporal lobe seizures often cause impaired cortical function and loss of consciousness. Recent work suggests that the mechanism for depressed cortical function during focal seizures may depend on decreased subcortical cholinergic arousal, which leads to a sleep-like state of cortical slow-wave activity. To test this hypothesis, we sought to directly activate subcortical cholinergic neurons during focal limbic seizures to determine the effects on cortical function. Here we used an optogenetic approach to selectively stimulate cholinergic brainstem neurons in the pedunculopontine tegmental nucleus during focal limbic seizures induced in a lightly anesthetized rat model. We found an increase in cortical gamma activity and a decrease in delta activity in response to cholinergic stimulation. These findings support the mechanistic role of reduced subcortical cholinergic arousal in causing cortical dysfunction during seizures. Through further work, electrical or optogenetic stimulation of subcortical arousal networks may ultimately lead to new treatments aimed at preventing cortical dysfunction during seizures.
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Affiliation(s)
- Moran Furman
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A
| | - Qiong Zhan
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A
- Xiangya Hospital, Central South University, Changsha, China
| | - Cian McCafferty
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A
| | - Benjamin A Lerner
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A
| | - Joshua E Motelow
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A
| | - Jin Meng
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A
| | - Chanthia Ma
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A
| | - Gordon F Buchanan
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A
| | - Ilana B Witten
- Psychology, Princeton University, Princeton, New Jersey, U.S.A
| | - Karl Deisseroth
- Bioengineering, Psychiatry and Behavioral Science, Stanford University, Stanford, California, U.S.A
| | - Jessica A Cardin
- Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut, U.S.A
- Kavli Institute, Yale University School of Medicine, New Haven, Connecticut, U.S.A
| | - Hal Blumenfeld
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A
- Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut, U.S.A
- Kavli Institute, Yale University School of Medicine, New Haven, Connecticut, U.S.A
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, U.S.A
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Youngblood MW, Chen WC, Mishra AM, Enamandram S, Sanganahalli BG, Motelow JE, Bai HX, Frohlich F, Gribizis A, Lighten A, Hyder F, Blumenfeld H. Rhythmic 3-4Hz discharge is insufficient to produce cortical BOLD fMRI decreases in generalized seizures. Neuroimage 2015; 109:368-77. [PMID: 25562830 DOI: 10.1016/j.neuroimage.2014.12.066] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Revised: 12/01/2014] [Accepted: 12/25/2014] [Indexed: 01/13/2023] Open
Abstract
Absence seizures are transient episodes of impaired consciousness accompanied by 3-4 Hz spike-wave discharge on electroencephalography (EEG). Human functional magnetic resonance imaging (fMRI) studies have demonstrated widespread cortical decreases in the blood oxygen-level dependent (BOLD) signal that may play an important role in the pathophysiology of these seizures. Animal models could provide an opportunity to investigate the fundamental mechanisms of these changes, however they have so far failed to consistently replicate the cortical fMRI decreases observed in human patients. This may be due to important differences between human seizures and animal models, including a lack of cortical development in rodents or differences in the frequencies of rodent (7-8 Hz) and human (3-4 Hz) spike-wave discharges. To examine the possible contributions of these differences, we developed a ferret model that exhibits 3-4 Hz spike-wave seizures in the presence of a sulcated cortex. Measurements of BOLD fMRI and simultaneous EEG demonstrated cortical fMRI increases during and following spike-wave seizures in ferrets. However unlike human patients, significant fMRI decreases were not observed. The lack of fMRI decreases was consistent across seizures of different durations, discharge frequencies, and anesthetic regimes, and using fMRI analysis models similar to human patients. In contrast, generalized tonic-clonic seizures under the same conditions elicited sustained postictal fMRI decreases, verifying that the lack of fMRI decreases with spike-wave was not due to technical factors. These findings demonstrate that 3-4 Hz spike-wave discharge in a sulcated animal model does not necessarily produce fMRI decreases, leaving the mechanism for this phenomenon open for further investigation.
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Affiliation(s)
- Mark W Youngblood
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - William C Chen
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Asht M Mishra
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; Core Center for Quantitative Neuroscience with Magnetic Resonance (QNMR), New Haven, CT 06520, USA
| | - Sheila Enamandram
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Basavaraju G Sanganahalli
- Core Center for Quantitative Neuroscience with Magnetic Resonance (QNMR), New Haven, CT 06520, USA; Department of Diagnostic Radiology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Joshua E Motelow
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Harrison X Bai
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Flavio Frohlich
- Department of Neurobiology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Alexandra Gribizis
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Alexis Lighten
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Fahmeed Hyder
- Core Center for Quantitative Neuroscience with Magnetic Resonance (QNMR), New Haven, CT 06520, USA; Department of Diagnostic Radiology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; Department of Biomedical Engineering, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Hal Blumenfeld
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; Core Center for Quantitative Neuroscience with Magnetic Resonance (QNMR), New Haven, CT 06520, USA; Department of Neurobiology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA.
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Gummadavelli A, Motelow JE, Smith N, Zhan Q, Schiff ND, Blumenfeld H. Thalamic stimulation to improve level of consciousness after seizures: evaluation of electrophysiology and behavior. Epilepsia 2014; 56:114-24. [PMID: 25442843 DOI: 10.1111/epi.12872] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/14/2014] [Indexed: 10/24/2022]
Abstract
OBJECTIVE Understanding the neural mechanisms that support human consciousness is an important frontier in neuroscience and medicine. We previously developed a rodent model of temporal lobe seizures that recapitulates the human electroencephalography (EEG) signature of ictal and postictal neocortical slow waves associated with behavioral impairments in level of consciousness. The mechanism of slow-wave production in epilepsy may involve suppression of the subcortical arousal systems including the brainstem and intralaminar thalamic nuclei. We hypothesized that intralaminar thalamic stimulation may lead to electrophysiologic and functional rescue from postictal slow waves and behavioral arrest. METHODS We electrically stimulated the central lateral thalamic nucleus (a member of the intralaminar nuclei) under anesthesia and after electrically induced hippocampal seizures in anesthetized and in awake-behaving animal model preparations. RESULTS We demonstrated a proof-of-principle restoration of electrophysiologic and behavioral measures of consciousness by stimulating the intralaminar thalamic nuclei after seizures. We measured decreased cortical slow waves and increased desynchronization and multiunit activity in the cortex with thalamic stimulation following seizures. Functionally, thalamic stimulation produced resumption of exploratory behaviors in the postictal state. SIGNIFICANCE Targeting of nodes in the neural circuitry of consciousness has important medical implications. Impaired consciousness with epilepsy has dangerous consequences including decreased school/work performance, social stigmatization, and impaired airway protection. These data suggest a novel therapeutic approach for restoring consciousness after seizures. If paired with responsive neurostimulation, this may allow rapid implementation to improve level of consciousness in patients with epilepsy.
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Affiliation(s)
- Abhijeet Gummadavelli
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A
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Li W, Motelow JE, Zhan Q, Hu YC, Kim R, Chen WC, Blumenfeld H. Cortical network switching: possible role of the lateral septum and cholinergic arousal. Brain Stimul 2014; 8:36-41. [PMID: 25440289 DOI: 10.1016/j.brs.2014.09.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2014] [Revised: 07/22/2014] [Accepted: 09/05/2014] [Indexed: 10/24/2022] Open
Abstract
BACKGROUND Cortical networks undergo large-scale switching between states of increased or decreased activity in normal sleep and cognition as well as in pathological conditions such as epilepsy. We previously found that focal hippocampal seizures in rats induce increased neuronal firing and cerebral blood flow in subcortical structures including the lateral septal area, along with frontal cortical slow oscillations resembling slow wave sleep. In addition, stimulation of the lateral septum in the absence of a seizure resulted in cortical deactivation with slow oscillations. HYPOTHESIS We hypothesized that lateral septal activation might cause neocortical deactivation indirectly, possibly through impaired subcortical arousal. But how does subcortical stimulation cause slow wave activity in frontal cortex? How do arousal neurotransmitter levels (e.g. acetylcholine) change in cortex during the excitation of inhibitory projection nuclei? METHODS AND RESULTS In the current study, we used simultaneous electrophysiology and enzyme-based amperometry in a rat model, and found a decrease in choline, along with slow wave activity in orbital frontal cortex during lateral septal stimulation in the absence of seizures. In contrast, the choline signal and local field potential in frontal cortex had no significant changes when stimulating the hippocampus, but showed increased choline and decreased slow wave activity with an arousal stimulus produced by toe pinch. CONCLUSIONS These findings indicate that the activation of subcortical inhibitory structures (such as lateral septum) can depress subcortical cholinergic arousal. This mechanism may play an important role in large-scale transitions of cortical activity in focal seizures, as well as in normal cortical function.
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Affiliation(s)
- Wei Li
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; Department of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, 305 East Zhongshan Road, Nanjing 210002, Jiangsu Province, China
| | - Joshua E Motelow
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Qiong Zhan
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Yang-Chun Hu
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; Department of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, 305 East Zhongshan Road, Nanjing 210002, Jiangsu Province, China
| | - Robert Kim
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - William C Chen
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
| | - Hal Blumenfeld
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; Department of Neurobiology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA.
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Gummadavelli A, Motelow JE, Narayanan NS. Clinical reasoning: A 64-year-old woman with progressive quadriparesis. Transverse myelitis (TM). Neurology 2013; 81:e89-94. [PMID: 24042577 DOI: 10.1212/wnl.0b013e3182a4a3f7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Abhijeet Gummadavelli
- From the Department of Neurology (A.G., J.E.M.), Yale University School of Medicine, New Haven, CT; and Department of Neurology (N.S.N.), Carver College of Medicine, University of Iowa, Iowa City
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Mishra AM, Bai X, Motelow JE, DeSalvo MN, Danielson N, Sanganahalli BG, Hyder F, Blumenfeld H. Increased resting functional connectivity in spike-wave epilepsy in WAG/Rij rats. Epilepsia 2013; 54:1214-22. [PMID: 23815571 PMCID: PMC3703864 DOI: 10.1111/epi.12227] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2013] [Indexed: 12/17/2022]
Abstract
PURPOSE Functional magnetic resonance imaging (fMRI)-based resting functional connectivity is well suited for measuring slow correlated activity throughout brain networks. Epilepsy involves chronic changes in normal brain networks, and recent work demonstrated enhanced resting fMRI connectivity between the hemispheres in childhood absence epilepsy. An animal model of this phenomenon would be valuable for investigating fundamental mechanisms and testing therapeutic interventions. METHODS We used fMRI-based resting functional connectivity for studying brain networks involved in absence epilepsy. Wistar Albino Glaxo rats from Rijswijk (WAG/Rij) exhibit spontaneous episodes of staring and unresponsiveness accompanied by spike-wave discharges (SWDs) resembling human absence seizures in behavior and electroencephalography (EEG). Simultaneous EEG-fMRI data in epileptic WAG/Rij rats in comparison to nonepileptic Wistar controls were acquired at 9.4 T. Regions showing cortical fMRI increases during SWDs were used to define reference regions for connectivity analysis to investigate whether chronic seizure activity is associated with changes in network resting functional connectivity. KEY FINDINGS We observed high degrees of cortical-cortical correlations in all WAG/Rij rats at rest (when no SWDs were present), but not in nonepileptic controls. Strongest connectivity was seen between regions most intensely involved in seizures, mainly in the bilateral somatosensory and adjacent cortices. Group statistics revealed that resting interhemispheric cortical-cortical correlations were significantly higher in WAG/Rij rats compared to nonepileptic controls. SIGNIFICANCE These findings suggest that activity-dependent plasticity may lead to long-term changes in epileptic networks even at rest. The results show a marked difference between the epileptic and nonepileptic animals in cortical-cortical connectivity, indicating that this may be a useful interictal biomarker associated with the epileptic state.
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Affiliation(s)
- Asht M. Mishra
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Core Center for Quantitative Neuroscience with Magnetic Resonance (QNMR), Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Xiaoxiao Bai
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Joshua E. Motelow
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Matthew N. DeSalvo
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Nathan Danielson
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Basavaraju G. Sanganahalli
- Department of Diagnostic Radiology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Core Center for Quantitative Neuroscience with Magnetic Resonance (QNMR), Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Fahmeed Hyder
- Department of Diagnostic Radiology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Core Center for Quantitative Neuroscience with Magnetic Resonance (QNMR), Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Hal Blumenfeld
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Core Center for Quantitative Neuroscience with Magnetic Resonance (QNMR), Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Neurobiology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
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McPherson A, Rojas L, Bauerschmidt A, Ezeani CC, Yang L, Motelow JE, Farooque P, Detyniecki K, Giacino JT, Blumenfeld H. Testing for minimal consciousness in complex partial and generalized tonic-clonic seizures. Epilepsia 2012; 53:e180-3. [PMID: 22931210 DOI: 10.1111/j.1528-1167.2012.03657.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Impaired consciousness in epilepsy has a major negative impact on quality of life. Prior work suggests that complex partial seizures (CPS) and generalized tonic-clonic seizures (GTCS), which both cause loss of consciousness, affect similar frontoparietal networks. Milder involvement in CPS than in GTCS may spare some simple behavioral responses, resembling the minimally conscious state. However, this difference in responses has not been rigorously tested previously. During video-electroencephalography (EEG) monitoring, we administered a standardized prospective testing battery including responses to questions and commands, as well as tests for reaching/grasping a ball and visual tracking in 27 CPS (in 14 patients) and 7 GTCS (in six patients). Behavioral results were analyzed in the ictal and postictal periods based on video review. During both CPS and GTCS, patients were unable to respond to questions or commands. However, during CPS, patients often retained minimally conscious ball grasping and visual tracking responses. Patients were able to successfully grasp a ball in 60% or to visually track in 58% of CPS, and could carry out both activities in 52% of CPS. In contrast, during GTCS, preserved ball grasp (10%), visual tracking (11%), or both (7%), were all significantly less than in CPS. Postictal ball grasping and visual tracking were also somewhat better following CPS than GTCS. These findings suggest that impaired consciousness in CPS is more similar to minimally conscious state than to coma. Further work may elucidate the specific brain networks underlying relatively spared functions in CPS, ultimately leading to improved treatments aimed at preventing impaired consciousness.
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Affiliation(s)
- Alison McPherson
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut 06520-8018, USA
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21
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Berman R, Negishi M, Vestal M, Spann M, Chung MH, Bai X, Purcaro M, Motelow JE, Danielson N, Dix-Cooper L, Enev M, Novotny EJ, Constable RT, Blumenfeld H. Simultaneous EEG, fMRI, and behavior in typical childhood absence seizures. Epilepsia 2010; 51:2011-22. [PMID: 20608963 DOI: 10.1111/j.1528-1167.2010.02652.x] [Citation(s) in RCA: 94] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
PURPOSE Absence seizures cause transient impairment of consciousness. Typical absence seizures occur in children, and are accompanied by 3-4-Hz spike-wave discharges (SWDs) on electroencephalography (EEG). Prior EEG-functional magnetic resonance imaging (fMRI) studies of SWDs have shown a network of cortical and subcortical changes during these electrical events. However, fMRI during typical childhood absence seizures with confirmed impaired consciousness has not been previously investigated. METHODS We performed EEG-fMRI with simultaneous behavioral testing in 37 children with typical childhood absence epilepsy (CAE). Attentional vigilance was evaluated by a continuous performance task (CPT), and simpler motor performance was evaluated by a repetitive tapping task (RTT). RESULTS SWD episodes were obtained during fMRI scanning from 9 patients among the 37 studied. fMRI signal increases during SWDs were observed in the thalamus, frontal cortex, primary visual, auditory, somatosensory, and motor cortex, and fMRI decreases were seen in the lateral and medial parietal cortex, cingulate gyrus, and basal ganglia. Omission error rate (missed targets) with SWDs during fMRI was 81% on CPT and 39% on RTT. For those seizure epochs during which CPT performance was impaired, fMRI changes were seen in cortical and subcortical structures typically involved in SWDs, whereas minimal changes were observed for the few epochs during which performance was spared. DISCUSSION These findings suggest that typical absence seizures involve a network of cortical-subcortical areas necessary for normal attention and primary information processing. Identification of this network may improve understanding of cognitive impairments in CAE, and may help guide development of new therapies for this disorder.
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Affiliation(s)
- Rachel Berman
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut 06520-8018, USA
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22
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Englot DJ, Yang L, Hamid H, Danielson N, Bai X, Marfeo A, Yu L, Gordon A, Purcaro MJ, Motelow JE, Agarwal R, Ellens DJ, Golomb JD, Shamy MCF, Zhang H, Carlson C, Doyle W, Devinsky O, Vives K, Spencer DD, Spencer SS, Schevon C, Zaveri HP, Blumenfeld H. Impaired consciousness in temporal lobe seizures: role of cortical slow activity. ACTA ACUST UNITED AC 2010; 133:3764-77. [PMID: 21081551 DOI: 10.1093/brain/awq316] [Citation(s) in RCA: 152] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Impaired consciousness requires altered cortical function. This can occur either directly from disorders that impair widespread bilateral regions of the cortex or indirectly through effects on subcortical arousal systems. It has therefore long been puzzling why focal temporal lobe seizures so often impair consciousness. Early work suggested that altered consciousness may occur with bilateral or dominant temporal lobe seizure involvement. However, other bilateral temporal lobe disorders do not impair consciousness. More recent work supports a 'network inhibition hypothesis' in which temporal lobe seizures disrupt brainstem-diencephalic arousal systems, leading indirectly to depressed cortical function and impaired consciousness. Indeed, prior studies show subcortical involvement in temporal lobe seizures and bilateral frontoparietal slow wave activity on intracranial electroencephalography. However, the relationships between frontoparietal slow waves and impaired consciousness and between cortical slowing and fast seizure activity have not been directly investigated. We analysed intracranial electroencephalography recordings during 63 partial seizures in 26 patients with surgically confirmed mesial temporal lobe epilepsy. Behavioural responsiveness was determined based on blinded review of video during seizures and classified as impaired (complex-partial seizures) or unimpaired (simple-partial seizures). We observed significantly increased delta-range 1-2 Hz slow wave activity in the bilateral frontal and parietal neocortices during complex-partial compared with simple-partial seizures. In addition, we confirmed prior work suggesting that propagation of unilateral mesial temporal fast seizure activity to the bilateral temporal lobes was significantly greater in complex-partial than in simple-partial seizures. Interestingly, we found that the signal power of frontoparietal slow wave activity was significantly correlated with the temporal lobe fast seizure activity in each hemisphere. Finally, we observed that complex-partial seizures were somewhat more common with onset in the language-dominant temporal lobe. These findings provide direct evidence for cortical dysfunction in the form of bilateral frontoparietal slow waves associated with impaired consciousness in temporal lobe seizures. We hypothesize that bilateral temporal lobe seizures may exert a powerful inhibitory effect on subcortical arousal systems. Further investigations will be needed to fully determine the role of cortical-subcortical networks in ictal neocortical dysfunction and may reveal treatments to prevent this important negative consequence of temporal lobe epilepsy.
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Affiliation(s)
- Dario J Englot
- Department of Neurosurgery, University of California, San Francisco, CA 94122, USA
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Yang L, Morland TB, Schmits K, Rawson E, Narasimhan P, Motelow JE, Purcaro MJ, Peng K, Raouf S, DeSalvo MN, Oh T, Wilkerson J, Bod J, Srinivasan A, Kurashvili P, Anaya J, Manza P, Danielson N, Ransom CB, Huh L, Elrich S, Padin-Rosado J, Naidu Y, Detyniecki K, Hamid H, Fattahi P, Astur R, Xiao B, Duckrow RB, Blumenfeld H. A prospective study of loss of consciousness in epilepsy using virtual reality driving simulation and other video games. Epilepsy Behav 2010; 18:238-46. [PMID: 20537593 PMCID: PMC2914099 DOI: 10.1016/j.yebeh.2010.04.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2010] [Revised: 04/07/2010] [Accepted: 04/12/2010] [Indexed: 10/19/2022]
Abstract
Patients with epilepsy are at risk of traffic accidents when they have seizures while driving. However, driving is an essential part of normal daily life in many communities, and depriving patients of driving privileges can have profound consequences for their economic and social well-being. In the current study, we collected ictal performance data from a driving simulator and two other video games in patients undergoing continuous video/EEG monitoring. We captured 22 seizures in 13 patients and found that driving impairment during seizures differed in terms of both magnitude and character, depending on the seizure type. Our study documents the feasibility of a prospective study of driving and other behaviors during seizures through the use of computer-based tasks. This methodology may be applied to further describe differential driving impairment in specific types of seizures and to gain data on anatomical networks disrupted in seizures that impair consciousness and driving safety.
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Affiliation(s)
- Li Yang
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiang Ya Road, Changsha, Hunan, 410008, China
| | - Thomas B. Morland
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Kristen Schmits
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Elizabeth Rawson
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Poojitha Narasimhan
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Joshua E. Motelow
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Michael J. Purcaro
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Kathy Peng
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Saned Raouf
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Matthew N. DeSalvo
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Taemin Oh
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Jerome Wilkerson
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Jessica Bod
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Aditya Srinivasan
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Pimen Kurashvili
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Joseph Anaya
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Peter Manza
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Nathan Danielson
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Christopher B. Ransom
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Linda Huh
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Susan Elrich
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Jose Padin-Rosado
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Yamini Naidu
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Kamil Detyniecki
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Hamada Hamid
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Pooia Fattahi
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Robert Astur
- Department of Psychiatry, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Olin Neuropsychiatry Research Center, Institute of Living, 200 Retreat Avenue, Whitehall Building, Hartford, CT 06106
| | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiang Ya Road, Changsha, Hunan, 410008, China
| | - Robert B. Duckrow
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Hal Blumenfeld
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Neurobiology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
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DeSalvo MN, Schridde U, Mishra AM, Motelow JE, Purcaro MJ, Danielson N, Bai X, Hyder F, Blumenfeld H. Focal BOLD fMRI changes in bicuculline-induced tonic-clonic seizures in the rat. Neuroimage 2010; 50:902-9. [PMID: 20079442 DOI: 10.1016/j.neuroimage.2010.01.006] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2009] [Revised: 11/15/2009] [Accepted: 01/05/2010] [Indexed: 10/20/2022] Open
Abstract
Generalized tonic-clonic seizures cause widespread physiological changes throughout the cerebral cortex and subcortical structures in the brain. Using combined blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) at 9.4 T and electroencephalography (EEG), these changes can be characterized with high spatiotemporal resolution. We studied BOLD changes in anesthetized Wistar rats during bicuculline-induced tonic-clonic seizures. Bicuculline, a GABA(A) receptor antagonist, was injected systemically and seizure activity was observed on EEG as high-amplitude, high-frequency polyspike discharges followed by clonic paroxysmal activity of lower frequency, with mean electrographic seizure duration of 349 s. Our aim was to characterize the spatial localization, direction, and timing of BOLD signal changes during the pre-ictal, ictal and post-ictal periods. Group analysis was performed across seizures using paired t-maps of BOLD signal superimposed on high-resolution anatomical images. Regional analysis was then performed using volumes of interest to quantify BOLD timecourses. In the pre-ictal period we found focal BOLD increases in specific areas of somatosensory cortex (S1, S2) and thalamus several seconds before seizure onset. During seizures we observed BOLD increases in cortex, brainstem and thalamus and BOLD decreases in the hippocampus. The largest ictal BOLD increases remained in the focal regions of somatosensory cortex showing pre-ictal increases. During the post-ictal period we observed widespread BOLD decreases. These findings support a model in which "generalized" tonic-clonic seizures begin with focal changes before electrographic seizure onset, which progress to non-uniform changes during seizures, possibly shedding light on the etiology and pathophysiology of similar seizures in humans.
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Affiliation(s)
- Matthew N DeSalvo
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA
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25
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Blumenfeld H, Varghese GI, Purcaro MJ, Motelow JE, Enev M, McNally KA, Levin AR, Hirsch LJ, Tikofsky R, Zubal IG, Paige AL, Spencer SS. Cortical and subcortical networks in human secondarily generalized tonic-clonic seizures. ACTA ACUST UNITED AC 2009; 132:999-1012. [PMID: 19339252 DOI: 10.1093/brain/awp028] [Citation(s) in RCA: 229] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Generalized tonic-clonic seizures are among the most dramatic physiological events in the nervous system. The brain regions involved during partial seizures with secondary generalization have not been thoroughly investigated in humans. We used single photon emission computed tomography (SPECT) to image cerebral blood flow (CBF) changes in 59 secondarily generalized seizures from 53 patients. Images were analysed using statistical parametric mapping to detect cortical and subcortical regions most commonly affected in three different time periods: (i) during the partial seizure phase prior to generalization; (ii) during the generalization period; and (iii) post-ictally. We found that in the pre-generalization period, there were focal CBF increases in the temporal lobe on group analysis, reflecting the most common region of partial seizure onset. During generalization, individual patients had focal CBF increases in variable regions of the cerebral cortex. Group analysis during generalization revealed that the most consistent increase occurred in the superior medial cerebellum, thalamus and basal ganglia. Post-ictally, there was a marked progressive CBF increase in the cerebellum which spread to involve the bilateral lateral cerebellar hemispheres, as well as CBF increases in the midbrain and basal ganglia. CBF decreases were seen in the fronto-parietal association cortex, precuneus and cingulate gyrus during and following seizures, similar to the 'default mode' regions reported previously to show decreased activity in seizures and in normal behavioural tasks. Analysis of patient behaviour during and following seizures showed impaired consciousness at the time of SPECT tracer injections. Correlation analysis across patients demonstrated that cerebellar CBF increases were related to increases in the upper brainstem and thalamus, and to decreases in the fronto-parietal association cortex. These results reveal a network of cortical and subcortical structures that are most consistently involved in secondarily generalized tonic-clonic seizures. Abnormal increased activity in subcortical structures (cerebellum, basal ganglia, brainstem and thalamus), along with decreased activity in the association cortex may be crucial for motor manifestations and for impaired consciousness in tonic-clonic seizures. Understanding the networks involved in generalized tonic-clonic seizures can provide insights into mechanisms of behavioural changes, and may elucidate targets for improved therapies.
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Affiliation(s)
- H Blumenfeld
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8018, USA.
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Varghese GI, Purcaro MJ, Motelow JE, Enev M, McNally KA, Levin AR, Hirsch LJ, Tikofsky R, Paige AL, Zubal IG, Spencer SS, Blumenfeld H. Clinical use of ictal SPECT in secondarily generalized tonic-clonic seizures. ACTA ACUST UNITED AC 2009; 132:2102-13. [PMID: 19339251 DOI: 10.1093/brain/awp027] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Partial seizures produce increased cerebral blood flow in the region of seizure onset. These regional cerebral blood flow increases can be detected by single photon emission computed tomography (ictal SPECT), providing a useful clinical tool for seizure localization. However, when partial seizures secondarily generalize, there are often questions of interpretation since propagation of seizures could produce ambiguous results. Ictal SPECT from secondarily generalized seizures has not been thoroughly investigated. We analysed ictal SPECT from 59 secondarily generalized tonic-clonic seizures obtained during epilepsy surgery evaluation in 53 patients. Ictal versus baseline interictal SPECT difference analysis was performed using ISAS (http://spect.yale.edu). SPECT injection times were classified based on video/EEG review as either pre-generalization, during generalization or in the immediate post-ictal period. We found that in the pre-generalization and generalization phases, ictal SPECT showed significantly more regions of cerebral blood flow increases than in partial seizures without secondary generalization. This made identification of a single unambiguous region of seizure onset impossible 50% of the time with ictal SPECT in secondarily generalized seizures. However, cerebral blood flow increases on ictal SPECT correctly identified the hemisphere (left versus right) of seizure onset in 84% of cases. In addition, when a single unambiguous region of cerebral blood flow increase was seen on ictal SPECT, this was the correct localization 80% of the time. In agreement with findings from partial seizures without secondary generalization, cerebral blood flow increases in the post-ictal period and cerebral blood flow decreases during or following seizures were not useful for localizing seizure onset. Interestingly, however, cerebral blood flow hypoperfusion during the generalization phase (but not pre-generalization) was greater on the side opposite to seizure onset in 90% of patients. These findings suggest that, with appropriate cautious interpretation, ictal SPECT in secondarily generalized seizures can help localize the region of seizure onset.
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Affiliation(s)
- G I Varghese
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut 06520-8018, USA
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Abstract
Generalized spike-wave seizures are typically brief events associated with dynamic changes in brain physiology, metabolism, and behavior. Functional magnetic resonance imaging (fMRI) provides a relatively high spatiotemporal resolution method for imaging cortical-subcortical network activity during spike-wave seizures. Patients with spike-wave seizures often have episodes of staring and unresponsiveness which interfere with normal behavior. Results from human fMRI studies suggest that spike-wave seizures disrupt specific networks in the thalamus and frontoparietal association cortex which are critical for normal attentive consciousness. However, the neuronal activity underlying imaging changes seen during fMRI is not well understood, particularly in abnormal conditions such as seizures. Animal models have begun to provide important fundamental insights into the neuronal basis for fMRI changes during spike-wave activity. Work from these models including both fMRI and direct neuronal recordings suggest that, in humans, specific cortical-subcortical networks are involved in spike-wave, while other regions are spared. Regions showing fMRI increases demonstrate correlated increases in neuronal activity in animal models. The mechanisms of fMRI decreases in spike-wave will require further investigation. A better understanding of the specific brain regions involved in generating spike-wave seizures may help guide efforts to develop targeted therapies aimed at preventing or reversing abnormal excitability in these brain regions, ultimately leading to a cure for this disorder.
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Affiliation(s)
- Joshua E. Motelow
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
| | - Hal Blumenfeld
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Neurobiology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
- QNMR, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06520, USA
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Schridde U, Khubchandani M, Motelow JE, Sanganahalli BG, Hyder F, Blumenfeld H. Negative BOLD with large increases in neuronal activity. ACTA ACUST UNITED AC 2007; 18:1814-27. [PMID: 18063563 DOI: 10.1093/cercor/bhm208] [Citation(s) in RCA: 179] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is widely used in neuroscience to study brain activity. However, BOLD fMRI does not measure neuronal activity directly but depends on cerebral blood flow (CBF), cerebral blood volume (CBV), and cerebral metabolic rate of oxygen (CMRO(2)) consumption. Using fMRI, CBV, CBF, neuronal recordings, and CMRO(2) modeling, we investigated how the signals are related during seizures in rats. We found that increases in hemodynamic, neuronal, and metabolic activity were associated with positive BOLD signals in the cortex, but with negative BOLD signals in hippocampus. Our data show that negative BOLD signals do not necessarily imply decreased neuronal activity or CBF, but can result from increased neuronal activity, depending on the interplay between hemodynamics and metabolism. Caution should be used in interpreting fMRI signals because the relationship between neuronal activity and BOLD signals may depend on brain region and state and can be different during normal and pathological conditions.
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Affiliation(s)
- Ulrich Schridde
- Department of Neurology, Yale University, New Haven, CT 06510, USA
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