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Akıncı T, Gündüz A, Özkara Ç, Kızıltan ME. The Thalamic and Intracortical Inhibitory Function of Somatosensory System Is Unchanged in Mesial Temporal Lobe Epilepsy With Hippocampal Sclerosis. J Clin Neurophysiol 2023; 40:45-52. [PMID: 33675312 DOI: 10.1097/wnp.0000000000000839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
PURPOSE In mesial temporal lobe epilepsy with hippocampal sclerosis, there is parietal atrophy and cognitive involvement in related domains. In this context, we hypothesized that inhibitory input into somatosensory cortex and thalamus may be increased in these patients, which could improve after epilepsy surgery. Thus, we analyzed the inhibitory function of somatosensory system by studying surround inhibition (SI) and recovery function of somatosensory evoked potentials in patients with mesial temporal lobe epilepsy with hippocampal sclerosis. METHODS Nine patients with unoperated mesial temporal lobe epilepsy with hippocampal sclerosis, 10 patients who underwent epilepsy surgery, and 12 healthy subjects were included. For SI of somatosensory evoked potentials, we recorded somatosensory evoked potentials after stimulating median or ulnar nerve at wrist separately and after median and ulnar nerves simultaneously and calculated SI% in all participants. For recovery function of somatosensory evoked potentials, paired stimulation of median nerve at 40- and 100-millisecond intervals was performed. We compared the findings among groups. As a secondary analysis, we determined the outliers in the patient group and analyzed the relation to the clinical findings. RESULTS The mean SI% or recovery function was similar among three groups. However, there were five patients with SI loss on normal side in the patient group, which was related to the antiseizure drugs. CONCLUSIONS In contrast to our hypothesis, both intracortical (SI) and thalamic/striatal (recovery function) inhibitory modulation of the somatosensory cortex was not altered in mesial temporal lobe epilepsy with hippocampal sclerosis and did not differ in surgical and nonsurgical groups.
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Affiliation(s)
- Tuba Akıncı
- Department of Neurology, Cerrahpaşa Medical Faculty, Istanbul University-Cerrahpaşa (I.U.C), Istanbul, Turkey
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Li H, Ren Y, Meng Q, Liu Y, Wu H, Dong S, Liu X, Zhang H. Stimulation induced aura during subdural recording: A useful predictor of postoperative outcome in refractory epilepsy. Seizure 2022; 101:149-155. [PMID: 36027686 DOI: 10.1016/j.seizure.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/08/2022] [Accepted: 08/17/2022] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Electrical cortical stimulation (ECS) is a routine procedure commonly conducted in intracranial EEG (iEEG) monitoring in refractory epilepsy and associated with postoperative outcome in stereoelectroencephalography (SEEG) exploration. To better understand this effective method, this study aimed to examine the role of ECS in subdural recording. METHODS The ECS results of 144 consecutive patients who were monitored via subdural electrodes and received epilepsy surgery were retrospectively collected. The occurrence of stimulation induced aura (SIA) and seizure (SIS) and their distributions as well as their associations with postoperative outcomes were analyzed. RESULTS Among all 144 patients, 47.2% (68/144) achieved Engel class I recovery with a mean follow-up of 6.6±2.2 years (2.0-9.8 years). The percentages of patients who showed SIA and SIS were 16.0% (23/144) and 43.8% (63/144), respectively. Our data indicated that 30.4% (42/138) of SIS occurred in frontal lobe, which was significantly higher than the 7.7% (10/130) occurred in temporal lobe and the 8.5% (11/129) in parieto-occipital region (p<0.001). Meanwhile, no such distribution difference was discovered in SIA (p=0.229). Univariate and multifactorial analyses showed that SIA was the only independent predictor for postoperative outcome and patients with SIA were 4.8 times more likely to achieve seizure-free (95% CI 1.557-14.789, p = 0.006). CONCLUSIONS Our study demonstrated that SIS sites are more likely to be located in the frontal lobe and SIA independently predicts optimal postoperative outcome in subdural recording.
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Affiliation(s)
- Huanfa Li
- Department of Neurosurgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an 710061, China; Comprehensive Epilepsy Center, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an 710061, China; Clinical Research Center for Refractory Epilepsy of Shaanxi Province, Xi'an 710061, China
| | - Yutao Ren
- Department of Neurosurgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an 710061, China
| | - Qiang Meng
- Comprehensive Epilepsy Center, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an 710061, China
| | - Yong Liu
- Comprehensive Epilepsy Center, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an 710061, China
| | - Hao Wu
- Center of Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; Clinical Research Center for Refractory Epilepsy of Shaanxi Province, Xi'an 710061, China
| | - Shan Dong
- Comprehensive Epilepsy Center, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an 710061, China; Clinical Research Center for Refractory Epilepsy of Shaanxi Province, Xi'an 710061, China
| | - Xiaofang Liu
- Comprehensive Epilepsy Center, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an 710061, China; Clinical Research Center for Refractory Epilepsy of Shaanxi Province, Xi'an 710061, China
| | - Hua Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an 710061, China; Comprehensive Epilepsy Center, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an 710061, China; Center of Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; Clinical Research Center for Refractory Epilepsy of Shaanxi Province, Xi'an 710061, China.
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Modak A, Fitzgerald PB. Personalising transcranial magnetic stimulation for depression using neuroimaging: A systematic review. World J Biol Psychiatry 2021; 22:647-669. [PMID: 33779486 DOI: 10.1080/15622975.2021.1907710] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
OBJECTIVES Transcranial magnetic stimulation (TMS) is a well-established and effective treatment for depression, though response rates are suboptimal. Personalising TMS for depression with neuroimaging can take into account inter-individual differences in anatomical and electrophysiological characteristics; and thereby provide a potentially more efficacious form of treatment. The current systematic review aimed to critically appraise the literature relating to personalising TMS for depression with neuroimaging. METHODS PubMed, PsycINFO and Embase databases were used to identify relevant literature published up to November 2020. RESULTS A total of 37 studies were included in the review. Across these studies, a total of 1451 patients with depression received TMS that was personalised using neuroimaging. The majority of the studies used structural or functional neuroimaging to personalise treatment target (n = 30), primarily through neuronavigation methodologies. Fewer studies used electroencephalography to personalise treatment frequency or stimulus timing (n = 7). Only 6 studies directly compared neuroimaging-personalised TMS to standard TMS. CONCLUSIONS The findings from this review suggest that personalising TMS with neuroimaging may be more effective in the treatment of depression compared to standard TMS. Further research is required to directly compare neuroimaging-personalised TMS with standard TMS, and to identify the optimal parameters for treatment personalisation.
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Affiliation(s)
- Anish Modak
- Alfred Mental and Addiction Health, Alfred Health, Melbourne, Australia.,Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Melbourne, Australia
| | - Paul B Fitzgerald
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Melbourne, Australia
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Gaetz W, Jurkiewicz MT, Kessler SK, Blaskey L, Schwartz ES, Roberts TP. Neuromagnetic responses to tactile stimulation of the fingers: Evidence for reduced cortical inhibition for children with Autism Spectrum Disorder and children with epilepsy. Neuroimage Clin 2017; 16:624-633. [PMID: 28971012 PMCID: PMC5619996 DOI: 10.1016/j.nicl.2017.06.026] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 05/30/2017] [Accepted: 06/16/2017] [Indexed: 12/04/2022]
Abstract
The purpose of this study was to compare somatosensory responses from a group of children with epilepsy and a group of children with autism spectrum disorder (ASD), with age matched TD controls. We hypothesized that the magnitude of the tactile "P50m" somatosensory response would be reduced in both patient groups, possibly due to reduced GABAergic signaling as has been implicated in a variety of previous animal models and in vivo human MRS studies. We observed significant (~ 25%) decreases in tactile P50m dipole moment values from the source localized tactile P50m response, both for children with epilepsy and for children with ASD. In addition, the latency of the tactile P50m peak was observed to be equivalent between TD and ASD groups but was significantly delayed in children with epilepsy by ~ 6 ms. Our data support the hypothesis of impaired GABAergic signaling in both children with ASD and children with epilepsy. Further work is needed to replicate these findings and directly relate them to both in vivo measures of GABA via e.g. magnetic resonance spectroscopy and psychophysical assessments of somatosensory function, and behavioral indices.
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Affiliation(s)
- William Gaetz
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, United States
- Department of Radiology, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, United States
| | - Michael T. Jurkiewicz
- Department of Radiology, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, United States
| | - Sudha Kilaru Kessler
- Department of Neurology, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, United States
- Department of Pediatrics, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, United States
| | - Lisa Blaskey
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, United States
- Children's Hospital of Philadelphia, Department of Radiology and Center for Autism Research, United States
| | - Erin S. Schwartz
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, United States
- Department of Radiology, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, United States
| | - Timothy P.L. Roberts
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, United States
- Department of Radiology, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, United States
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Valenza G, Romigi A, Citi L, Placidi F, Izzi F, Albanese M, Scilingo EP, Marciani MG, Duggento A, Guerrisi M, Toschi N, Barbieri R. Predicting seizures in untreated temporal lobe epilepsy using point-process nonlinear models of heartbeat dynamics. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2016:985-988. [PMID: 28268489 DOI: 10.1109/embc.2016.7590867] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Symptoms of temporal lobe epilepsy (TLE) are frequently associated with autonomic dysregulation, whose underlying biological processes are thought to strongly contribute to sudden unexpected death in epilepsy (SUDEP). While abnormal cardiovascular patterns commonly occur during ictal events, putative patterns of autonomic cardiac effects during pre-ictal (PRE) periods (i.e. periods preceding seizures) are still unknown. In this study, we investigated TLE-related heart rate variability (HRV) through instantaneous, nonlinear estimates of cardiovascular oscillations during inter-ictal (INT) and PRE periods. ECG recordings from 12 patients with TLE were processed to extract standard HRV indices, as well as indices of instantaneous HRV complexity (dominant Lyapunov exponent and entropy) and higher-order statistics (bispectra) obtained through definition of inhomogeneous point-process nonlinear models, employing Volterra-Laguerre expansions of linear, quadratic, and cubic kernels. Experimental results demonstrate that the best INT vs. PRE classification performance (balanced accuracy: 73.91%) was achieved only when retaining the time-varying, nonlinear, and non-stationary structure of heartbeat dynamical features. The proposed approach opens novel important avenues in predicting ictal events using information gathered from cardiovascular signals exclusively.
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Romigi A, Albanese M, Placidi F, Izzi F, Mercuri NB, Marchi A, Liguori C, Campagna N, Duggento A, Canichella A, Ricciardo Rizzo G, Guerrisi M, Marciani MG, Toschi N. Heart rate variability in untreated newly diagnosed temporal lobe epilepsy: Evidence for ictal sympathetic dysregulation. Epilepsia 2016; 57:418-26. [DOI: 10.1111/epi.13309] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/08/2015] [Indexed: 11/28/2022]
Affiliation(s)
- Andrea Romigi
- Department of Systems Medicine; Neurophysiopathology Unit; Sleep Medicine Centre; Tor Vergata University and Hospital; Rome Italy
- IRCCS Neuromed Sleep Medicine Centre; Pozzilli Italy
| | - Maria Albanese
- Department of Systems Medicine; Neurophysiopathology Unit; Sleep Medicine Centre; Tor Vergata University and Hospital; Rome Italy
- IRCCS Neuromed Sleep Medicine Centre; Pozzilli Italy
| | - Fabio Placidi
- Department of Systems Medicine; Neurophysiopathology Unit; Sleep Medicine Centre; Tor Vergata University and Hospital; Rome Italy
| | - Francesca Izzi
- Department of Systems Medicine; Neurophysiopathology Unit; Sleep Medicine Centre; Tor Vergata University and Hospital; Rome Italy
| | - Nicola B. Mercuri
- Department of Systems Medicine; Neurophysiopathology Unit; Sleep Medicine Centre; Tor Vergata University and Hospital; Rome Italy
- Santa Lucia Foundation; Rome Italy
| | - Angela Marchi
- Department of Systems Medicine; Neurophysiopathology Unit; Sleep Medicine Centre; Tor Vergata University and Hospital; Rome Italy
| | - Claudio Liguori
- Department of Systems Medicine; Neurophysiopathology Unit; Sleep Medicine Centre; Tor Vergata University and Hospital; Rome Italy
| | - Nicoletta Campagna
- Department of Systems Medicine; Neurophysiopathology Unit; Sleep Medicine Centre; Tor Vergata University and Hospital; Rome Italy
| | - Andrea Duggento
- Department of Biomedicine and Prevention; Medical Physics Section; University of Rome “Tor Vergata,”; Rome Italy
| | - Antonio Canichella
- Department of Biomedicine and Prevention; Medical Physics Section; University of Rome “Tor Vergata,”; Rome Italy
| | - Giada Ricciardo Rizzo
- Department of Systems Medicine; Neurophysiopathology Unit; Sleep Medicine Centre; Tor Vergata University and Hospital; Rome Italy
| | - Maria Guerrisi
- Department of Biomedicine and Prevention; Medical Physics Section; University of Rome “Tor Vergata,”; Rome Italy
| | | | - Nicola Toschi
- Department of Biomedicine and Prevention; Medical Physics Section; University of Rome “Tor Vergata,”; Rome Italy
- Department of Radiology; Athinoula A. Martinos Center for Biomedical Imaging; Boston Massachusetts U.S.A
- Harvard Medical School; Boston Massachusetts U.S.A
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Tracy JI. Editorial on "Network Analysis for a Network Disorder: The emerging role of graph theory in the study of epilepsy, by Bernhardt et al. (this issue)". Epilepsy Behav 2015; 50:160-1. [PMID: 26319114 DOI: 10.1016/j.yebeh.2015.07.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 07/03/2015] [Indexed: 01/19/2023]
Affiliation(s)
- Joseph I Tracy
- Department of Neurology, Thomas Jefferson University/Sidney Kimmel Medical College, USA; Department of Radiology, Thomas Jefferson University/Sidney Kimmel Medical College, USA; Cognitive Neuroscience and Brain Mapping Laboratory, Thomas Jefferson University/Sidney Kimmel Medical College, USA; Neuropsychology Division, Department of Neurology, Thomas Jefferson University/Sidney Kimmel Medical College, USA
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Bernhardt BC, Bonilha L, Gross DW. Network analysis for a network disorder: The emerging role of graph theory in the study of epilepsy. Epilepsy Behav 2015; 50:162-70. [PMID: 26159729 DOI: 10.1016/j.yebeh.2015.06.005] [Citation(s) in RCA: 177] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Revised: 06/03/2015] [Accepted: 06/04/2015] [Indexed: 01/01/2023]
Abstract
Recent years have witnessed a paradigm shift in the study and conceptualization of epilepsy, which is increasingly understood as a network-level disorder. An emblematic case is temporal lobe epilepsy (TLE), the most common drug-resistant epilepsy that is electroclinically defined as a focal epilepsy and pathologically associated with hippocampal sclerosis. In this review, we will summarize histopathological, electrophysiological, and neuroimaging evidence supporting the concept that the substrate of TLE is not limited to the hippocampus alone, but rather is broadly distributed across multiple brain regions and interconnecting white matter pathways. We will introduce basic concepts of graph theory, a formalism to quantify topological properties of complex systems that has recently been widely applied to study networks derived from brain imaging and electrophysiology. We will discuss converging graph theoretical evidence indicating that networks in TLE show marked shifts in their overall topology, providing insight into the neurobiology of TLE as a network-level disorder. Our review will conclude by discussing methodological challenges and future clinical applications of this powerful analytical approach.
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Affiliation(s)
- Boris C Bernhardt
- Neuroimaging of Epilepsy Laboratory, Brain Imaging Center, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada; Department of Social Neuroscience, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Leonardo Bonilha
- Department of Neurology, Medical University of South Carolina, SC, USA
| | - Donald W Gross
- Division of Neurology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
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