“Psychometric considerations in using error-related brain activity as a biomarker in psychotic disorders” Correction to Foti, Kotov, and Hajcak (2013).

2013 ◽  
Vol 122 (3) ◽  
pp. 655-655 ◽  
Author(s):  
Dan Foti ◽  
Roman Kotov ◽  
Greg Hajcak
Keyword(s):  
Psychotic Disorders ◽  
Brain Activity

scholarly journals EEG Microstate Differences in Medicated vs. Medication-Naïve First-Episode Psychosis Patients

2020 ◽  
Vol 11 ◽  
Author(s):  
Amatya J. Mackintosh ◽  
Stefan Borgwardt ◽  
Erich Studerus ◽  
Anita Riecher-Rössler ◽  
Renate de Bock ◽  
...  
Keyword(s):  
Antipsychotic Medication ◽  
Resting State ◽  
Psychotic Disorders ◽  
Brain Activity ◽  
Treatment Strategies ◽  
Chronic Schizophrenia ◽  
First Episode ◽  
Medication Effects ◽  
Class B ◽  
Eeg Recordings

There has been considerable interest in the role of synchronous brain activity abnormalities in the pathophysiology of psychotic disorders and their relevance for treatment; one index of such activity are EEG resting-state microstates. These reflect electric field configurations of the brain that persist over 60–120 ms time periods. A set of quasi-stable microstates classes A, B, C, and D have been repeatedly identified across healthy participants. Changes in microstate parameters coverage, duration and occurrence have been found in medication-naïve as well as medicated patients with psychotic disorders compared to healthy controls. However, to date, only two studies have directly compared antipsychotic medication effects on EEG microstates either pre- vs. post-treatment or between medicated and unmedicated chronic schizophrenia patients. The aim of this study was therefore to directly compare EEG resting-state microstates between medicated and medication-naïve (untreated) first-episode (FEP) psychosis patients (mFEP vs. uFEP). We used 19-channel clinical EEG recordings to compare temporal parameters of four prototypical microstate classes (A–D) within an overall sample of 47 patients (mFEP n = 17; uFEP n = 30). The results demonstrated significant decreases of microstate class A and significant increases of microstate class B in mFEP compared to uFEP. No significant differences between groups were found for microstate classes C and D. Further studies are needed to replicate these results in longitudinal designs that assess antipsychotic medication effects on neural networks at the onset of the disorder and over time during illness progression. As treatment response and compliance in FEP patients are relatively low, such studies could contribute to better understand treatment outcomes and ultimately improve treatment strategies.

Psychosocial Risks and Management for Children and Adolescents With 22q11.2 Deletion Syndrome

2019 ◽  
Vol 4 (4) ◽  
pp. 633-640 ◽  
Author(s):  
Canice E. Crerand ◽  
Ari N. Rabkin
Keyword(s):  
Cognitive Abilities ◽  
Psychotic Disorders ◽  
Developmental Stages ◽  
Early Adulthood ◽  
22Q11.2 Deletion Syndrome ◽  
Deletion Syndrome ◽  
22Q11.2 Deletion ◽  
Psychosocial Risks ◽  
Empirically Supported ◽  
Specific Education

Purpose This article reviews the psychosocial risks associated with 22q11.2 deletion syndrome, a relatively common genetic condition associated with a range of physical and psychiatric problems. Risks associated with developmental stages from infancy through adolescence and early adulthood are described, including developmental, learning, and intellectual disabilities as well as psychiatric disorders including anxiety, mood, and psychotic disorders. Other risks related to coping with health problems and related treatments are also detailed for both affected individuals and their families. Conclusion The article ends with strategies for addressing psychosocial risks including provision of condition-specific education, enhancement of social support, routine assessment of cognitive abilities, regular mental health screening, and referrals for empirically supported psychiatric and psychological treatments.

Assessing Mental and Behavioral Disorder Impairment: Overview of Sixth Edition Approaches

2008 ◽  
Vol 13 (6) ◽  
pp. 1-7
Author(s):  
Norma Leclair ◽  
Steve Leclair ◽  
Robert Barth
Keyword(s):  
Mental Disorders ◽  
Behavioral Disorders ◽  
Psychotic Disorders ◽  
Behavioral Disorder ◽  
Behavioral Impairment ◽  
Central Nervous System Damage ◽  
Brain Functioning ◽  
Sixth Edition ◽  
Diagnostic And Statistical Manual ◽  
Mental And Behavioral Disorders

Abstract Chapter 14, Mental and Behavioral Disorders, in the AMA Guides to the Evaluation of Permanent Impairment (AMA Guides), Sixth Edition, defines a process for assessing permanent impairment, including providing numeric ratings, for persons with specific mental and behavioral disorders. These mental disorders are limited to mood disorders, anxiety disorders, and psychotic disorders, and this chapter focuses on the evaluation of brain functioning and its effects on behavior in the absence of evident traumatic or disease-related objective central nervous system damage. This article poses and answers questions about the sixth edition. For example, this is the first since the second edition (1984) that provides a numeric impairment rating, and this edition establishes a standard, uniform template to translate human trauma or disease into a percentage of whole person impairment. Persons who conduct independent mental and behavioral evaluation using this chapter should be trained in psychiatry or psychology; other users should be experienced in psychiatric or psychological evaluations and should have expertise in the diagnosis and treatment of mental and behavioral disorders. The critical first step in determining a mental or behavioral impairment rating is to document the existence of a definitive diagnosis based on the current edition of the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders. The article also enumerates the psychiatric disorders that are considered ratable in the sixth edition, addresses use of the sixth edition during independent medical evaluations, and answers additional questions.

Errata

2008 ◽  
Vol 13 (2) ◽  
pp. 5-5
Keyword(s):  
Psychotic Disorders ◽  
Pain Syndrome ◽  
Vestibular Disorders ◽  
Loss Of Function ◽  
Sixth Edition ◽  
Neurologic Disorders ◽  
Upper And Lower Extremities ◽  
Impairment Ratings ◽  
Extensive List ◽  
Mental And Behavioral Disorders

Abstract Although most chapters in the AMA Guides to the Evaluation of Permanent Impairment (AMA Guides), Sixth Edition, instruct evaluators to perform impairment ratings by first assigning a diagnosis-based class and then assigning a grade within that class, Chapter 13, The Central and Peripheral Nervous System, continues to use a methodology similar to that of the fifth edition. The latter was criticized for duplicating materials that were presented in other chapters and for producing different ratings, so the revision of Chapter 13 attempts to maintain consistency between this chapter and those that address mental and behavioral disorders, loss of function in upper and lower extremities, loss of bowel control, and bladder and sexual function. A table titled Summary of Chapters Used to Rate Various Neurologic Disorders directs physicians to the relevant chapters (ie, instead of Chapter 13) to consult in rating neurologic disorders; the extensive list of conditions that should be addressed in other chapters includes but is not limited to radiculopathy, plexus injuries and other plexopathies, focal neuropathy, complex regional pain syndrome, visual and vestibular disorders, and a range of primary mood, anxiety, and psychotic disorders. The article comments in detail on sections of this chapter, identifies changes in the sixth edition, and provide guidance regarding use of the new edition, resulting in less duplication and greater consistency.

Skipping Breakfast Affects the Early Steps of Cognitive Processing

2019 ◽  
Vol 33 (2) ◽  
pp. 109-118
Author(s):  
Andrés Antonio González-Garrido ◽  
Jacobo José Brofman-Epelbaum ◽  
Fabiola Reveca Gómez-Velázquez ◽  
Sebastián Agustín Balart-Sánchez ◽  
Julieta Ramos-Loyo
Keyword(s):  
Working Memory ◽  
Cognitive Processing ◽  
Task Difficulty ◽  
Brain Activity ◽  
Reaction Times ◽  
Brain Potentials ◽  
Brain Functioning ◽  
Attentional Processes ◽  
Electrical Brain Activity ◽  
Skipping Breakfast

Abstract. It has been generally accepted that skipping breakfast adversely affects cognition, mainly disturbing the attentional processes. However, the effects of short-term fasting upon brain functioning are still unclear. We aimed to evaluate the effect of skipping breakfast on cognitive processing by studying the electrical brain activity of young healthy individuals while performing several working memory tasks. Accordingly, the behavioral results and event-related brain potentials (ERPs) of 20 healthy university students (10 males) were obtained and compared through analysis of variances (ANOVAs), during the performance of three n-back working memory (WM) tasks in two morning sessions on both normal (after breakfast) and 12-hour fasting conditions. Significantly fewer correct responses were achieved during fasting, mainly affecting the higher WM load task. In addition, there were prolonged reaction times with increased task difficulty, regardless of breakfast intake. ERP showed a significant voltage decrement for N200 and P300 during fasting, while the amplitude of P200 notably increased. The results suggest skipping breakfast disturbs earlier cognitive processing steps, particularly attention allocation, early decoding in working memory, and stimulus evaluation, and this effect increases with task difficulty.

Complexity Measures of Brain Electrophysiological Activity

2010 ◽  
Vol 24 (2) ◽  
pp. 131-135 ◽  
Author(s):  
Włodzimierz Klonowski ◽  
Pawel Stepien ◽  
Robert Stepien
Keyword(s):  
Brain Activity ◽  
Deterministic Chaos ◽  
Epileptic Seizures ◽  
Eeg Signal ◽  
Eeg Signals ◽  
Complexity Measures ◽  
Electrophysiological Activity ◽  
Signal Complexity ◽  
Physiological Sleep ◽  
The Brain

Over 20 years ago, Watt and Hameroff (1987 ) suggested that consciousness may be described as a manifestation of deterministic chaos in the brain/mind. To analyze EEG-signal complexity, we used Higuchi’s fractal dimension in time domain and symbolic analysis methods. Our results of analysis of EEG-signals under anesthesia, during physiological sleep, and during epileptic seizures lead to a conclusion similar to that of Watt and Hameroff: Brain activity, measured by complexity of the EEG-signal, diminishes (becomes less chaotic) when consciousness is being “switched off”. So, consciousness may be described as a manifestation of deterministic chaos in the brain/mind.

Behavior in the Brain

2010 ◽  
Vol 24 (2) ◽  
pp. 76-82 ◽  
Author(s):  
Martin M. Monti ◽  
Adrian M. Owen
Keyword(s):  
Motor Behavior ◽  
Functional Neuroimaging ◽  
Brain Activity ◽  
Motor Output ◽  
The Unconscious ◽  
Ethical Implications ◽  
Brain Responses ◽  
Minimally Conscious ◽  
Brain Insults ◽  
Brain Behavior

Recent evidence has suggested that functional neuroimaging may play a crucial role in assessing residual cognition and awareness in brain injury survivors. In particular, brain insults that compromise the patient’s ability to produce motor output may render standard clinical testing ineffective. Indeed, if patients were aware but unable to signal so via motor behavior, they would be impossible to distinguish, at the bedside, from vegetative patients. Considering the alarming rate with which minimally conscious patients are misdiagnosed as vegetative, and the severe medical, legal, and ethical implications of such decisions, novel tools are urgently required to complement current clinical-assessment protocols. Functional neuroimaging may be particularly suited to this aim by providing a window on brain function without requiring patients to produce any motor output. Specifically, the possibility of detecting signs of willful behavior by directly observing brain activity (i.e., “brain behavior”), rather than motoric output, allows this approach to reach beyond what is observable at the bedside with standard clinical assessments. In addition, several neuroimaging studies have already highlighted neuroimaging protocols that can distinguish automatic brain responses from willful brain activity, making it possible to employ willful brain activations as an index of awareness. Certainly, neuroimaging in patient populations faces some theoretical and experimental difficulties, but willful, task-dependent, brain activation may be the only way to discriminate the conscious, but immobile, patient from the unconscious one.

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