Journal of systems and integrative neuroscience最新文献

{"title":"Bariatric surgery: Potential post-operative heightened sensitivity to substances or behaviors.","authors":"Panayotis K Thanos, Mark S Gold, Kenneth Blum, Rajendra D Badgaiyan, Nicole M Avena","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":87318,"journal":{"name":"Journal of systems and integrative neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367099/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40613570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Opioid and dopamine genes interact to predict precision naltrexone response in alcohol use disorder: Interpretation misfires.","authors":"Kenneth Blum, Jean Lud Cadet, David Baron, Rajendra D Badgaiyan, Mark S Gold","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":87318,"journal":{"name":"Journal of systems and integrative neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/6b/a2/nihms-1811172.PMC9367130.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40613571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methyl jasmonate rescues structural alterations in cortico-limbic neurons produced by the unpredictable chronic mild stress model of depression","authors":"O. Aluko, A. Pignataro, Margherita De Introna, E. Bisicchia, Omamuyovwi M. Ijomone, S. Umukoro, M. Ammassari-Teule","doi":"10.15761/jsin.1000254","DOIUrl":"https://doi.org/10.15761/jsin.1000254","url":null,"abstract":"","PeriodicalId":87318,"journal":{"name":"Journal of systems and integrative neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67486090","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":"Response of somatosensory cortex neurons to stimulation ventro-postero-medial nucleus of the thalamus in WAG/Rij rats genetically predisposed to absence epilepsy","authors":"Tsvetaeva Da, Raevsky Vv","doi":"10.15761/jsin.1000251","DOIUrl":"https://doi.org/10.15761/jsin.1000251","url":null,"abstract":"","PeriodicalId":87318,"journal":{"name":"Journal of systems and integrative neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67486409","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":"Technical and statistical milestones and standards for construction, validation and/or comparison of Quantitative Electroencephalogram (QEEG) normative databases","authors":"Priya Miranda, S. Danev, Michael Alexander, Jonathan RT Lakey","doi":"10.15761/jsin.1000247","DOIUrl":"https://doi.org/10.15761/jsin.1000247","url":null,"abstract":"Quantitative electroencephalogram (QEEG) and the QEEG normative database help in characterization of normal versus neurocognitive diseases, in diagnosis and prognosis and in treatment tailoring. Constructing QEEG normative databases and standardization of QEEG protocols for use in both research and clinical settings has proven challenging over the last 61 years. The present paper focuses on a) historical and technical milestones the field had to overcome, b) standards to be followed when constructing and validating a normative databases, c) commonly used normative databases, and d) provides an illustrated step-by-step guide to QEEG normative database validation and comparison. *Correspondence to: Jonathan RT Lakey, PhD, MSM, Department of Surgery, 333 City Blvd West, Suite 1600, Orange, CA 92868, USA, Tel: 1-949-824-8022; Fax: 1-714-456-6188; E-mail: jlakey@hs.uci.edu Received: January 07, 2021; Accepted: January 31, 2021; Published: February 08, 2021 Other areas where QEEG has made unique contributions include; epilepsy screening and in drug-resistant epilepsy, in court sentencing, pharmaco-QEEG, neurocognitive issues, traumatic brain injury (TBI) severity, post-concussion syndrome, mood disorders, exoor endogenously induced behavioral disorders, attention deficit disorder (ADD/ADHD), schizophrenia, depression, tinnitus, encephalopathies and alcohol and/or substance abuse [3-7]. On the issue of differential diagnosis of cross-border diseases another parallel development which has bearing on QEEG’s usefulness as a diagnostic and prognostic tool is the Diagnostic and Statistical Manual of Mental Disorders (DSM) (Figure 1) [8]. Changes in disease definitions and classification as per the DSM influence cross-study comparability, QEEG derived biomarker reliability and validity. However, DSM-5, released in 2013 keeping in mind neurocognitive developments in the field has helped lay to rest many of the issues pertinent to disease classification [8]. The backbone of the QEEG is the normative database (a term coined by Graham and Dietlien in 1965) used in drawing comparisons [9]. In the hands of the untrained (operators, data analyzers and interpreters), the QEEG can yield results that are not of clinical relevance [10]. Therefore, over the last 61 years several QEEG standards have been developed to ensure. • The validity and reliability of QEEG for research and clinical use in diagnosis, prognosis and pharmaco-QEEG, • That a balance between “standardized medicine” and “precision medicine” is struck so as to meet the World Health Organization Miranda P (2021) Technical and statistical milestones and standards for construction, validation and/or comparison of Quantitative Electroencephalogram (QEEG) normative databases J Syst Integr Neurosci, 2021 doi: 10.15761/JSIN.1000247 Volume 7: 2-13 Figure 1. History of the scientific, technical and statistical improvements in constructing QEEG normative databases Miranda P (2021) Technical and statistical milestone","PeriodicalId":87318,"journal":{"name":"Journal of systems and integrative neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67486257","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":"The cognitive profile in Slovak children with autism spectrum disorders","authors":"H. Celušáková, Katarína Polónyiov, D. Ostatníková","doi":"10.15761/jsin.1000242","DOIUrl":"https://doi.org/10.15761/jsin.1000242","url":null,"abstract":"","PeriodicalId":87318,"journal":{"name":"Journal of systems and integrative neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67485945","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":"Hypothesizing High Negative Emotionality as a Function of Genetic Addiction Risk Severity (GARS) Testing in Alcohol Use Disorder (AUD).","authors":"Kenneth Blum, Richard Green, Jessica Smith, Luis Llanos-Gomez, David Baron, Rajendra D Badgaiyan","doi":"10.15761/jsin.1000245","DOIUrl":"https://doi.org/10.15761/jsin.1000245","url":null,"abstract":"An estimated 14.5 million United States (U.S.) citizens ages 12 and older consume enough alcohol to meet the diagnosis for alcohol use disorder (AUD), as reported by the Center for Behavioral Health Statistics and Quality in 2018. A National Survey on Drug Use and Health (NSDUH) conducted in 2019, revealed that 85.6 percent of adults admit to consuming alcohol at some point during their life, 69.5 percent of adults admit to having consumed alcohol within the past year, and 54.9 percent (51.0 percent of adult females and 59.1 percent of adult males) self-report to have consumed alcohol within the past month. The survey also reported that among adults, 25.8 percent (22.2 percent of adult females and 29.7 percent of adult males) reported engaging in binge drinking within the past 30 days. The survey also revealed the 6.3 percent of adults (4.5 percent of adult females and 8.3 percent of adult males) reported to engage in heavy alcohol use within the past 30 days [1]","PeriodicalId":87318,"journal":{"name":"Journal of systems and integrative neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793765/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39749914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Polygenic and multi locus heritability of alcoholism: Novel therapeutic targets to overcome psychological deficits.","authors":"Kenneth Blum, David Baron, Rehan Jalali, Edward J Modestino, Bruce Steinberg, Igor Elman, Rajendra D Badgaiyan, Mark S Gold","doi":"10.15761/JSIN.1000240","DOIUrl":"10.15761/JSIN.1000240","url":null,"abstract":"","PeriodicalId":87318,"journal":{"name":"Journal of systems and integrative neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547332/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39564275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biotechnical development of genetic addiction risk score (GARS) and selective evidence for inclusion of polymorphic allelic risk in substance use disorder (SUD).","authors":"K Blum,&nbsp;A Bowirrat,&nbsp;D Baron,&nbsp;L Lott,&nbsp;J V Ponce,&nbsp;R Brewer,&nbsp;D Siwicki,&nbsp;B Boyett,&nbsp;M C Gondre-Lewis,&nbsp;D E Smith,&nbsp;Thanos Panayotis K,&nbsp;S Badgaiyan,&nbsp;M Hauser,&nbsp;L Fried,&nbsp;Roy A,&nbsp;B W Downs,&nbsp;R D Badgaiyan","doi":"10.15761/JSIN.1000221","DOIUrl":"https://doi.org/10.15761/JSIN.1000221","url":null,"abstract":"<p><p>Research into the neurogenetic basis of addiction identified and characterized by Reward Deficiency Syndrome (RDS) includes all drug and non-drug addictive, obsessive and compulsive behaviors. We are proposing herein that a new model for the prevention and treatment of Substance Use Disorder (SUD) a subset of RDS behaviors, based on objective biologic evidence, should be given serious consideration in the face of a drug epidemic. The development of the Genetic Addiction Risk Score (GARS) followed seminal research in 1990, whereby, Blum's group identified the first genetic association with severe alcoholism published in JAMA. While it is true that no one to date has provided adequate RDS free controls there have been many studies using case -controls whereby SUD has been eliminated. We argue that this deficiency needs to be addressed in the field and if adopted appropriately many spurious results would be eliminated reducing confusion regarding the role of genetics in addiction. However, an estimation, based on these previous literature results provided herein, while not representative of all association studies known to date, this sampling of case- control studies displays significant associations between alcohol and drug risk. In fact, we present a total of <b>110,241</b> cases and <b>122,525</b> controls derived from the current literature. We strongly suggest that while we may take argument concerning many of these so-called controls (e.g. blood donors) it is quite remarkable that there are a plethora of case -control studies indicating selective association of these risk alleles ( measured in GARS) for the most part indicating a hypodopaminergia. The paper presents the detailed methodology of the GARS. Data collection procedures, instrumentation, and the analytical approach used to obtain GARS and subsequent research objectives are described. Can we combat SUD through early genetic risk screening in the addiction field enabling early intervention by the induction of dopamine homeostasis? It is envisaged that GARS type of screening will provide a novel opportunity to help identify causal pathways and associated mechanisms of genetic factors, psychological characteristics, and addictions awaiting additional scientific evidence including a future meta- analysis of all available data -a work in progress.</p>","PeriodicalId":87318,"journal":{"name":"Journal of systems and integrative neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891477/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25390455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Action monitoring fails when motor execution is too fast: no time for correction","authors":"Ramdani, E. Sagui, B. Schmid, O. Castagna, K. Davranche, F. Vidal, T. Hasbroucq","doi":"10.31234/osf.io/5fd49","DOIUrl":"https://doi.org/10.31234/osf.io/5fd49","url":null,"abstract":"A recent information processing model of two-choice RT situations (Servant et al., 2015), suggests that conditions which reduce the duration of peripheral motor processes, should also reduce the efficiency of the action monitoring system, because letting no time enough for correction of partial errors (i.e. subthreshold transient muscle activity of the agonists of the incorrect response preceding the correct response). A physiological situation, namely sustained physical exercise, has repeatedly been reported to reduce the duration of response execution. Therefore, in order to test the prediction of the model, we compared action monitoring efficiency between a sustained exercise (59.42% of MAP) and a control (15 W) condition in the same subjects while they were performing a Simon task. Electromyographic (EMG) recordings of muscles implicated in the response allowed to measure premotor time (time interval between the stimulus and the onset of the EMG burst) and motor time (MT, time interval between the onset of the EMG burst and the mechanical response, which gives access to response execution processes). Electromyogram further permitted to unmask partial errors. Correction ratio was calculated by dividing the number of partial errors by the number of incorrect activations (partial errors + errors). As expected, exercise decreased MT. In addition, exercise reduced the correction ratio. Furthermore, there was a positive inter-subject correlation between these two dependent variables. In line with Servant et al.'s model (2015), we propose that the drop in the efficiency of cognitive control was due to insufficient MT available for action monitoring to operate when incorrect activations were produced.","PeriodicalId":87318,"journal":{"name":"Journal of systems and integrative neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47757882","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}