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Bosetti C, Ferrini L, Ferrari AR, Bartolini E, Calderoni S. Children with Autism Spectrum Disorder and Abnormalities of Clinical EEG: A Qualitative Review. J Clin Med 2024; 13:279. [PMID: 38202286 PMCID: PMC10779511 DOI: 10.3390/jcm13010279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/22/2023] [Accepted: 12/31/2023] [Indexed: 01/12/2024] Open
Abstract
Over the last decade, the comorbidity between Autism Spectrum Disorder (ASD) and epilepsy has been widely demonstrated, and many hypotheses regarding the common neurobiological bases of these disorders have been put forward. A variable, but significant, prevalence of abnormalities on electroencephalogram (EEG) has been documented in non-epileptic children with ASD; therefore, several scientific studies have recently tried to demonstrate the role of these abnormalities as a possible biomarker of altered neural connectivity in ASD individuals. This narrative review intends to summarize the main findings of the recent scientific literature regarding abnormalities detected with standard EEG in children/adolescents with idiopathic ASD. Research using three different databases (PubMed, Scopus and Google Scholar) was conducted, resulting in the selection of 10 original articles. Despite an important lack of studies on preschoolers and a deep heterogeneity in results, some authors speculated on a possible association between EEG abnormalities and ASD characteristics, in particular, the severity of symptoms. Although this correlation needs to be more strongly elucidated, these findings may encourage future studies aimed at demonstrating the role of electrical brain abnormalities as an early biomarker of neural circuit alterations in ASD, highlighting the potential diagnostic, prognostic and therapeutic value of EEG in this field.
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Affiliation(s)
- Chiara Bosetti
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy; (C.B.); (L.F.); (A.R.F.); (S.C.)
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Luca Ferrini
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy; (C.B.); (L.F.); (A.R.F.); (S.C.)
- Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy
| | - Anna Rita Ferrari
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy; (C.B.); (L.F.); (A.R.F.); (S.C.)
| | - Emanuele Bartolini
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy; (C.B.); (L.F.); (A.R.F.); (S.C.)
- Tuscany PhD Programme in Neurosciences, 50139 Florence, Italy
| | - Sara Calderoni
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy; (C.B.); (L.F.); (A.R.F.); (S.C.)
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
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Lob K, Hou T, Chu TC, Ibrahim N, Bartolini L, Nie DA. Clinical features and drug-resistance in pediatric epilepsy with co-occurring autism: A retrospective comparative cohort study. Epilepsy Behav 2023; 143:109228. [PMID: 37182499 DOI: 10.1016/j.yebeh.2023.109228] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 04/16/2023] [Accepted: 04/20/2023] [Indexed: 05/16/2023]
Abstract
OBJECTIVE We conducted a retrospective comparative cohort study to determine the phenotypic and real-world management differences in children with epilepsy and co-occurring autism as compared to those without autism. METHODS Clinical variables, EEG, brain MRI, genetic results, medical and non-medical treatment were compared between 156 children with both epilepsy and autism, 156 randomly selected and 156 demographically matched children with epilepsy only. Logistic regression analyses were conducted to determine predictors of drug-resistant epilepsy (DRE). RESULTS As compared to the'matched' cohort, more patients with autism had generalized motor seizures although not statistically significant after Benjamini-Hochberg correction (54.5%, vs 42.3%, p = .0314); they had a lower rate of electroclinical syndromes (12.8%, vs 30.1%, p = .0002). There were more incidental MRI findings but less positive MRI findings to explain their epilepsy in children with autism (26.3%, vs 13.8% and 14.3%, vs 34.2%, respectively; p = .0003). In addition, LEV, LTG, and VPA were the most common ASMs prescribed to children with autism, as opposed to LEV, OXC, and LTG in children without autism. No difference in the major EEG abnormalities was observed. Although the rates of DRE were similar (24.8%, vs 26.6%, p = .7203), we identified two clinical and five electrographic correlates with DRE in children with both epilepsy and autism and a final prediction modeling of DRE that included EEG ictal findings, focal onset seizures, generalized motor seizures, abnormal EEG background, age of epilepsy onset, and history of SE, which were distinct from those in children without autism. SIGNIFICANCE Our study indicates that detailed seizure history and EEG findings are the most important evaluation and prediction tools for the development of DRE in children with epilepsy and co-occurring autism. Further studies of epilepsy in specific autism subgroups based on their etiology and clinical severity are warranted.
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Affiliation(s)
- Karen Lob
- The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Tao Hou
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tzu-Chun Chu
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA, USA
| | - Nouran Ibrahim
- The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Luca Bartolini
- Division of Pediatric Neurology, Hasbro Children's Hospital, Providence, RI, USA; Department of Pediatrics, the Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Duyu A Nie
- Division of Pediatric Neurology, Hasbro Children's Hospital, Providence, RI, USA; Department of Pediatrics, the Warren Alpert Medical School of Brown University, Providence, RI, USA.
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3
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Swatzyna RJ, Arns M, Tarnow JD, Turner RP, Barr E, MacInerney EK, Hoffman AM, Boutros NN. Isolated epileptiform activity in children and adolescents: prevalence, relevance, and implications for treatment. Eur Child Adolesc Psychiatry 2022; 31:545-552. [PMID: 32666203 DOI: 10.1007/s00787-020-01597-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 07/01/2020] [Indexed: 10/23/2022]
Abstract
In the field of psychiatry diagnoses are primarily based on the report of symptoms from either the patient, parents, or both, and a psychiatrist's observations. A psychiatric diagnosis is currently the most widely used basis for medication selection and the brain is seldom investigated directly as a source of those symptoms. This study addresses the request from the National Institute of Mental Health (NIMH) Research Domain Criteria Project (RDoC) for scientific research into neurological abnormalities that can be linked to psychiatric symptoms for the purpose of predicting medication response. One such neurological abnormality that has been the focus of many studies over the last three decades is isolated epileptiform discharges (IEDs) in children and adolescents without seizures. We conducted a systematic review of the literature to determine prevalence rates of IEDs within diagnostic categories. We then compared the prevalence of IEDs in the selected literature to our IRB-approved data archive. Our study found a consistent high prevalence of IEDs specifically for ADHD (majority > 25%) and ASD (majority > 59%), and consistent low prevalence rates were found for Depression (3%). If children and adolescents have failed multiple medication attempts, and more than one-third of them have IEDs, then an EEG would be justified within the RDoC paradigm.
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Affiliation(s)
- Ronald J Swatzyna
- Houston Neuroscience Brain Center, Houston, TX, USA. .,Clinical NeuroAnalytics, 1307 Oceanside Lane, League City, TX, 77573, USA.
| | - Martijn Arns
- Department of Experimental Psychology, Utrecht University, Utrecht, The Netherlands.,Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands
| | - Jay D Tarnow
- The Tarnow Center for Self-Management, Houston, USA
| | - Robert P Turner
- Network Neurology Health, Charleston, SC, USA.,Clinical Pediatrics and Neurology, USC School of Medicine, Columbia, SC, USA
| | - Emma Barr
- Houston Neuroscience Brain Center, Houston, TX, USA
| | | | | | - Nash N Boutros
- School of Medicine, RUSH University, Kansas City, MO, USA
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4
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EEG abnormalities and clinical phenotypes in pre-school children with autism spectrum disorder. Epilepsy Behav 2022; 129:108619. [PMID: 35303620 DOI: 10.1016/j.yebeh.2022.108619] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 02/06/2022] [Accepted: 02/06/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND Abnormalities on electroencephalography (EEG) results have been reported in a high percentage of children with Autism Spectrum Disorder (ASD). The purpose of this study was to explore the prevalence of EEG abnormalities in a clinical population of pre-school children with Autism Spectrum Disorder and the differences in terms of the following phenotypic characteristics: adaptive behavior, executive functioning, severity of Autism Spectrum Disorder core symptoms, and comorbidity symptoms. METHODS A cross-sectional analysis of 69 children who attended the Autism Spectrum Disorder early diagnosis program with electroencephalography and clinical diagnosis was performed. A battery of questionnaires was also made to parents to evaluate emotions, behavior, and functional skills for daily living. RESULTS Out of 69 pre-school children with Autism Spectrum Disorder, twenty nine (42%) had abnormalities in electroencephalography results. The group with abnormal epileptiform electroencephalography exhibited more impairment in executive functioning and social-relationship coexisting symptoms. CONCLUSIONS The presence of an abnormal epileptiform electroencephalography in pre-school children with ASD already suggests a worse development in clinical features.
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Neuroscience Education: Making It Relevant to Psychiatric Training. Psychiatr Clin North Am 2021; 44:295-307. [PMID: 34049650 DOI: 10.1016/j.psc.2020.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Psychiatric education has struggled to move past dualistic notions separating mind from brain, and embrace the field's identity as a clinical neuroscience discipline. To modernize our educational systems, we must integrate neuroscience perspectives into every facet of our clinical work. To do this effectively, neuroscience education should be clinically relevant, informed by adult learning theory, and tailored to the individualized needs of learners. Classic neuropsychiatry skills can help us better understand our patients' brain function at the bedside. Integrating neuroscience perspectives alongside the other rich perspectives in psychiatry will help trainees appreciate the relevance of neuroscience to modern medical practice.
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Yuan L, Fan Y, Gan Q, Feng H. Clinical Diagnosis of Psychiatry Based on Electroencephalography. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS 2021. [DOI: 10.1166/jmihi.2021.3338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
At present, neurophysiological signals used for neuro feedback are EEG (Electroencephalogram), functional magnetic resonance imaging. Among them, the acquisition of EEG signals has the advantages of non-invasive way with low cost. It has been widely used in brain-machine interface technology
in recent years. Important progress has been made in rehabilitation and environmental control. However, neural feedback and brainmachine interface technology are completely similar in signal acquisition, signal feature extraction, and pattern classification. Therefore, the related research
results of brain-machine interface can be used to closely cooperate with clinical needs to research and develop neural feedback technology based on EEG. Based on neurophysiology and brain-machine interface technology, this paper develops a neural feedback training system based on the acquisition
and analysis of human EEG signals. Aiming at the autonomous rhythm components in the EEG signal, such as sensorimotor rhythm and alpha rhythm, the characteristic parameters are extracted through real-time EEG signal processing to generate feedback information, and the subject is self-regulated
and trained from a physiological-psychological perspective by providing adjuvant treatment, a practical and stable treatment platform for the clinic.
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Affiliation(s)
- Lixue Yuan
- Department of Intensive Care Unit, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Hubei, 435000, People’s Republic of China
| | - Yinyan Fan
- Department of Psychiatry, Huangshi Second Hospital, Huangshi, Hubei, 435000, People’s Republic of China
| | - Quanxi Gan
- Department of Psychiatry, Huangshi Second Hospital, Huangshi, Hubei, 435000, People’s Republic of China
| | - Huibin Feng
- Department of Intensive Care Unit, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Hubei, 435000, People’s Republic of China
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Precenzano F, Parisi L, Lanzara V, Vetri L, Operto FF, Pastorino GMG, Ruberto M, Messina G, Risoleo MC, Santoro C, Bitetti I, Marotta R. Electroencephalographic Abnormalities in Autism Spectrum Disorder: Characteristics and Therapeutic Implications. ACTA ACUST UNITED AC 2020; 56:medicina56090419. [PMID: 32825169 PMCID: PMC7559692 DOI: 10.3390/medicina56090419] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 08/16/2020] [Accepted: 08/17/2020] [Indexed: 12/03/2022]
Abstract
A large body of literature reports the higher prevalence of epilepsy in subjects with Autism Spectrum Disorder (ASD) compared to the general population. Similarly, several studies report an increased rate of Subclinical Electroencephalographic Abnormalities (SEAs) in seizure-free patients with ASD rather than healthy controls, although with varying percentages. SEAs include both several epileptiform discharges and different non-epileptiform electroencephalographic abnormalities. They are more frequently associated with lower intellectual functioning, more serious dysfunctional behaviors, and they are often sign of severer forms of autism. However, SEAs clinical implications remain controversial, and they could represent an epiphenomenon of the neurochemical alterations of autism etiology. This paper provides an overview of the major research findings with two main purposes: to better delineate the state-of-the-art about EEG abnormalities in ASD and to find evidence for or against appropriateness of SEAs pharmacological treatment in ASD.
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Affiliation(s)
- Francesco Precenzano
- Epilepsy and EEG lab for Developmental Age; Clinic of Child and Adolescent Neuropsychiatry, Department of Mental Health, Physical and Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (F.P.); (V.L.); (M.C.R.); (C.S.); (I.B.)
- Inter-University Group for Study and Research on Neurodevelopmental Disorders in Children and Adolescents; (L.P.); (G.M.G.P.)
| | - Lucia Parisi
- Inter-University Group for Study and Research on Neurodevelopmental Disorders in Children and Adolescents; (L.P.); (G.M.G.P.)
- Department of Psychology, Educational Science and Human Movement, University of Palermo, 90127 Palermo, Italy
| | - Valentina Lanzara
- Epilepsy and EEG lab for Developmental Age; Clinic of Child and Adolescent Neuropsychiatry, Department of Mental Health, Physical and Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (F.P.); (V.L.); (M.C.R.); (C.S.); (I.B.)
- Inter-University Group for Study and Research on Neurodevelopmental Disorders in Children and Adolescents; (L.P.); (G.M.G.P.)
| | - Luigi Vetri
- Department of Sciences for Health Promotion and Mother and Child Care “G. D’Alessandro”, University of Palermo, 90127 Palermo, Italy
- Correspondence: or ; Tel.: +39-328-643-4126
| | - Francesca Felicia Operto
- Child and Adolescent Neuropsychiatry Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, 84084 Fisciano, Italy;
| | - Grazia Maria Giovanna Pastorino
- Inter-University Group for Study and Research on Neurodevelopmental Disorders in Children and Adolescents; (L.P.); (G.M.G.P.)
- Child and Adolescent Neuropsychiatry Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, 84084 Fisciano, Italy;
| | - Maria Ruberto
- Centro Pro Juventute Minerva SRL, 80131 Napoli, Italy;
| | - Giovanni Messina
- Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy;
| | - Maria Cristina Risoleo
- Epilepsy and EEG lab for Developmental Age; Clinic of Child and Adolescent Neuropsychiatry, Department of Mental Health, Physical and Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (F.P.); (V.L.); (M.C.R.); (C.S.); (I.B.)
- Department of Medical and Surgical Science, University “Magna Graecia”, 88100 Catanzaro, Italy;
| | - Claudia Santoro
- Epilepsy and EEG lab for Developmental Age; Clinic of Child and Adolescent Neuropsychiatry, Department of Mental Health, Physical and Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (F.P.); (V.L.); (M.C.R.); (C.S.); (I.B.)
| | - Ilaria Bitetti
- Epilepsy and EEG lab for Developmental Age; Clinic of Child and Adolescent Neuropsychiatry, Department of Mental Health, Physical and Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Napoli, Italy; (F.P.); (V.L.); (M.C.R.); (C.S.); (I.B.)
| | - Rosa Marotta
- Department of Medical and Surgical Science, University “Magna Graecia”, 88100 Catanzaro, Italy;
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Sala R, Amet L, Blagojevic-Stokic N, Shattock P, Whiteley P. Bridging the Gap Between Physical Health and Autism Spectrum Disorder. Neuropsychiatr Dis Treat 2020; 16:1605-1618. [PMID: 32636630 PMCID: PMC7335278 DOI: 10.2147/ndt.s251394] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 05/05/2020] [Indexed: 12/12/2022] Open
Abstract
Autism spectrum disorder (ASD) is a highly complex and heterogeneous developmental disorder that affects how individuals communicate with other people and relate to the world around them. Research and clinical focus on the behavioural and cognitive manifestations of ASD, whilst important, have obscured the recognition that ASD is also commonly associated with a range of physical and mental health conditions. Many physical conditions appear with greater frequency in individuals with ASD compared to non-ASD populations. These can contribute to a worsening of social communication and behaviour, lower quality of life, higher morbidity and premature mortality. We highlight some of the key physical comorbidities affecting the immune and the gastrointestinal systems, metabolism and brain function in ASD. We discuss how healthcare professionals working with individuals with ASD and parents/carers have a duty to recognise their needs in order to improve their overall health and wellbeing, deliver equality in their healthcare experiences and reduce the likelihood of morbidity and early mortality associated with the condition.
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Affiliation(s)
- Regina Sala
- Centre for Psychiatry, Wolfson Institute, Barts & The London School of Medicine & Dentistry Queen Mary University of London, London, UK
| | | | | | - Paul Shattock
- Education & Services for People with Autism, Sunderland, UK
| | - Paul Whiteley
- Education & Services for People with Autism Research, Sunderland, UK
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Jung W, Jang KI, Lee SH. Heart and Brain Interaction of Psychiatric Illness: A Review Focused on Heart Rate Variability, Cognitive Function, and Quantitative Electroencephalography. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2019; 17:459-474. [PMID: 31671483 PMCID: PMC6852682 DOI: 10.9758/cpn.2019.17.4.459] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 11/30/2018] [Accepted: 12/19/2018] [Indexed: 12/26/2022]
Abstract
Heart rate variability (HRV) reflects beat-to-beat variability in the heart rate due to the dynamic interplay of the sympathetic and parasympathetic nervous systems. HRV is considered an index of the functional status of the autonomic nervous system. A decrease in HRV is thus observed in individuals with autonomic dysfunction. Abnormal HRV has been reported in a range of mental disorders. In this review, we give an overview of HRV in patients with major depressive disorder (MDD), schizophrenia, and posttraumatic stress disorder (PTSD), one of whose core symptoms is cognitive dysfunction. The association between HRV and cognitive function is highlighted in this review. This review consists of three main sections. In the first section, we examine how HRV in patients with MDD, schizophrenia, and PTSD is characterized, and how it is different when compared to that in healthy controls. In the second section, beyond the heart itself, we discuss the intimate connection between the heart and the brain, focusing on how HRV interacts with quantitative electroencephalography (qEEG) in the context of physiological changes in the sleep cycle. Lastly, we finish the review with the examination of the association between HRV and cognitive function. The overall findings indicate that the reduction in HRV is one of main manifestations in MDD, schizophrenia, and PTSD, and also more generally HRV is closely linked to the change in qEEG and also to individual differences in cognitive performance.
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Affiliation(s)
- Wookyoung Jung
- Department of Psychology, Keimyung University, Daegu, Korea
| | - Kuk-In Jang
- 2Department of Biomedicine and Health Sciences, College of Medicine, The Catholic University of Korea, Korea.,Institute of Biomedical Industry, The Catholic University of Korea, Seoul, Korea
| | - Seung-Hwan Lee
- Department of Psychiatry,Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea.,Clinical Emotion and Cognition Research Laboratory, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
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10
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Swatzyna RJ, Boutros NN, Genovese AC, MacInerney EK, Roark AJ, Kozlowski GP. Electroencephalogram (EEG) for children with autism spectrum disorder: evidential considerations for routine screening. Eur Child Adolesc Psychiatry 2019; 28:615-624. [PMID: 30218395 DOI: 10.1007/s00787-018-1225-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 09/06/2018] [Indexed: 12/22/2022]
Abstract
Routine electroencephalograms (EEG) are not recommended as a screen for epileptic discharges (EDs) in current practice guidelines for children with autism spectrum disorder (ASD). However, a review of the research from the last three decades suggests that this practice should be reevaluated. The significant comorbidity between epilepsy and ASD, its shared biological pathways, risk for developmental regression, and cognitive challenges demand increased clinical investigation requiring a proactive approach. This review highlights and explains the need for screening EEGs for children with ASD. EEG would assist in differentiating EDs from core features of ASD and could be included in a comprehensive assessment. EEG also meets the demand for evidence-based precision medicine and focused care for the individual, especially when overlapping processes of development are present.
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Affiliation(s)
- Ronald J Swatzyna
- Electro-Neuro Analysis Research, Tarnow Center for Self-Management, 1001 West Loop South, Suite 215, Houston, TX, 77027, USA.
| | - Nash N Boutros
- Behavioral Neurology Division, The Saint Luke's Marion Bloch Neuroscience Institute, Kansas City, MO, USA
| | - Ann C Genovese
- Department of Child and Adolescent Psychiatry, The University of Kansas Medical Center, Kansas City, KS, USA
| | | | | | - Gerald P Kozlowski
- Department of Clinical Psychology, Saybrook University, Oakland, CA, USA
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Abstract
Despite decades of publications attesting to the role of the clinical EEG in diagnosing and managing psychiatric disorders, the procedure remains highly underutilized in the practice of psychiatry. The visually inspected EEG (vEEG) can detect various forms of abnormalities, each with its own clinical significance. Abnormalities can be paroxysmal (i.e., suggestive of an epileptic-like process) or stationary. The most important unanswered question remains the value of detecting epileptiform activity in a nonepileptic psychiatric patient in predicting favorable responses to anticonvulsant treatment. Despite the many shortcomings of vEEG, the available evidence suggests that in the presence of paroxysmal activity in a nonepileptic psychiatric patient a trial of a psychotropic anticonvulsant may be warranted if standard treatment has failed. More research on the contribution of paroxysmal EEG abnormalities to the problem of episodic psychiatric symptoms (e.g., panic attacks, dissociative episodes, repeated violence) is sorely needed. It is postulated that at least some of these conditions may represent an epilepsy spectrum disorder. Similarly, the significance of the presence of a slow-wave activity (whether focal or generalized) also deserves further well-designed research to ascertain the exact clinical significance. Nonetheless, the available data suggest that further medical workup is necessary to ascertain the nature and degree of the pathology when present.
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