Clinical EEG and neuroscience最新文献

{"title":"Quantitative Electroencephalography Objectivity and Reliability in the Diagnosis and Management of Traumatic Brain Injury: A Systematic Review.","authors":"Francesco Amico,&nbsp;Jaroslaw Lucas Koberda","doi":"10.1177/15500594231202265","DOIUrl":"https://doi.org/10.1177/15500594231202265","url":null,"abstract":"<p><p><i>Background.</i> Persons with a history of traumatic brain injury (TBI) may exhibit short- and long-term cognitive deficits as well as psychiatric symptoms. These symptoms often reflect functional anomalies in the brain that are not detected by standard neuroimaging. In this context, quantitative electroencephalography (qEEG) is more suitable to evaluate non-normative activity in a wide range of clinical settings. <i>Method.</i> We searched the literature using the \"Medline\" and \"Web of Science\" online databases. The search was concluded on February 23, 2023, and revised on July 12, 2023. It returned 134 results from Medline and 4 from Web of Science. We then applied the PRISMA method, which led to the selection of 31 articles, the most recent one published in March 2023. <i>Results.</i> The qEEG method can detect functional anomalies in the brain occurring immediately after and even years after injury, revealing in most cases abnormal power variability and increases in slow (delta and theta) versus decreases in fast (alpha, beta, and gamma) frequency activity. Moreover, other findings show that reduced beta coherence between frontoparietal regions is associated with slower processing speed in patients with recent mild TBI (mTBI). More recently, machine learning (ML) research has developed highly reliable models and algorithms for the detection of TBI, some of which are already integrated into commercial qEEG equipment. <i>Conclusion.</i> Accumulating evidence indicates that the qEEG method may improve the diagnosis and management of TBI, in many cases revealing long-term functional anomalies in the brain or even neuroanatomical insults that are not revealed by standard neuroimaging. While FDA clearance has been obtained only for some of the commercially available equipment, the qEEG method allows for systematic, cost-effective, non-invasive, and reliable investigations at emergency departments. Importantly, the automated implementation of intelligent algorithms based on multimodally acquired, clinically relevant measures may play a key role in increasing diagnosis reliability.</p>","PeriodicalId":93940,"journal":{"name":"Clinical EEG and neuroscience","volume":" ","pages":"15500594231202265"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41157862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Behavioral and Movement Disorders due to Long-Lasting Myoclonic Status Epilepticus Misdiagnosed as ADHD in a Patient With Juvenile Myoclonic Epilepsy: Electroclinical Findings and Related Hemodynamic Changes.","authors":"Martina Fanella,&nbsp;Marco Carnì,&nbsp;Alessandra Morano,&nbsp;Mariarita Albini,&nbsp;Leonardo Lapenta,&nbsp;Sara Casciato,&nbsp;Jinane Fattouch,&nbsp;Elisabetta Di Castro,&nbsp;Claudio Colonnese,&nbsp;Anna Elisabetta Vaudano,&nbsp;Anna Teresa Giallonardo,&nbsp;Carlo Di Bonaventura","doi":"10.1177/1550059415574622","DOIUrl":"https://doi.org/10.1177/1550059415574622","url":null,"abstract":"<p><p>Epilepsy and attention-deficit/hyperactivity disorder (ADHD) likely share common underlying neural mechanisms, as often suggested by both the evidence of electroencephalography (EEG) abnormalities in ADHD patients without epilepsy and the coexistence of these 2 conditions. The differential diagnosis between epilepsy and ADHD may consequently be challenging. In this report, we describe a patient presenting with a clinical association of \"tics\" and behavioral disorders that appeared 6 months before our first observation and had previously been interpreted as ADHD. A video-EEG evaluation documented an electroclinical pattern of myoclonic status epilepticus. On the basis of the revised clinical data, the EEG findings, the good response to valproate, the long-lasting myoclonic status epilepticus, and the enduring epileptic abnormalities likely causing behavioral disturbances, the patient's symptoms were interpreted as being the expression of untreated juvenile myoclonic epilepsy. The EEG-functional magnetic resonance imaging study revealed, during clinical generalized spike-and-wave and polyspike-and-wave discharges, positive blood oxygen level-dependent (BOLD) signal changes bilaterally in the thalamus, the prefrontal cortex (Brodmann area 6, supplementary motor area) and the cerebellum, and negative BOLD signal changes in the regions of the default mode network. Such findings, which are typical of BOLD changes observed in idiopathic generalized epilepsy, may also shed light on the anatomofunctional network underlying ADHD. </p>","PeriodicalId":93940,"journal":{"name":"Clinical EEG and neuroscience","volume":" ","pages":"56-60"},"PeriodicalIF":2.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1550059415574622","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33422928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}