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> Disorders > Mental or Behavioral Dysfunction > Disorder, Dissociative

Disorder, Dissociative

Dissociative Disorders are a group of conditions characterized by an involuntary escape from reality, often in response to a traumatic event.
Individuals with these disorders may experience disconnection from their thoughts, feelings, memories, actions, or even their identity.
This can lead to a range of symptoms, including amnesia, depersonalization, and dissociative identity disorder.
Researchers can use PubCompare.ai to identify the best protocols from literature, preprints, and patents, enhancing reproducibility and research accuracy for these complex mental health conditions.

Most cited protocols related to «Disorder, Dissociative»

1
Eligibility Criteria for Major Depression Study
Cited 8 times
Patients were recruited primarily through advertising, although a minority of patients were referred from primary care clinics. All patients provided written, informed consent prior to beginning study procedures. The study enrolled men and women, aged 18–65 years, who met DSM-IV criteria for current major depressive disorder and who had never previously received treatment for a mood disorder. We defined “previous treatment” as patient-reported treatment for major depression, dysthymia, or depressive disorder not otherwise specified with either 1) a marketed antidepressant at a minimum effective dose for 4 or more consecutive weeks or 2) 4 or more sessions of an evidence-based and structured psychotherapy for depression (i.e., CBT, behavior therapy, interpersonal therapy, or behavioral marital therapy). Patients who had received prior supportive therapy were eligible, but they were not permitted to participate in such psychotherapy during the study.
Eligible patients had a primary psychiatric diagnosis of nonpsychotic major depressive disorder and a 17-item Hamilton Depression Rating Scale (HAM-D) (28 (link)) total score ≥18 at screening and ≥15 at the baseline visit. Exclusion criteria included a lifetime history of bipolar disorder, primary psychotic disorder, or dementia, or a current (past 12 months) diagnosis of obsessive-compulsive disorder, eating disorder, or dissociative disorder. Additionally, patients were excluded if they met DSM-IV criteria for substance abuse within 3 months, substance dependence within 12 months of the randomization visit, or if their urine tested positive for drugs of abuse. Additional exclusionary criteria included any lifetime treatment with citalopram, escitalopram, or duloxetine. Women who were, or planned on becoming, pregnant or breast-feeding during the trial were excluded, as were any patients with significant uncontrolled medical conditions, or any condition that could interfere with the study or the interpretation of the study results.
Dunlop B.W., Kelley M.E., Aponte-Rivera V., Mletzko-Crowe T., Kinkead B., Ritchie J.C., Nemeroff C.B., Edward Craighead W, & Mayberg H.S. (2017). Effects of Patient Preferences on Outcomes in the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) Study. The American journal of psychiatry, 174(6), 546-556.
Publication 2017
Antidepressive Agents Behavior Therapy Bipolar Disorder Citalopram Dementia Diagnosis Disorder, Dissociative Drug Abuse Duloxetine Dysthymic Disorder Eating Disorders Escitalopram Major Depressive Disorder Marital Therapy Minority Groups Mood Disorders Obsessive-Compulsive Disorder Patients Primary Health Care Psychotherapy Psychotic Disorders Substance Abuse Substance Dependence Urine Woman
2
Mobile App for Depression and Anxiety Management
Cited 6 times
Participants were recruited from March 2015 to March 2016 from a variety of sources including the Minnesota-based health care system, HealthPartners, online (eg, ResearchMatch, Craigslist, Reddit, clinicaltrials.gov, social media advertising) and community (eg, print advertisements posted on public transportation, media) advertising, and clinical research registries. Recruitment materials informed participants that the study was examining the use of mobile phone apps to teach self-management skills for depression and anxiety.
Participants were included in this single-arm field trial if they exhibited depressive symptoms indicated by a score of 10 or higher on the Patient Health Questionnaire-9 (PHQ-9) [33 (link)], or anxiety symptoms indicated by a score of 8 or higher on the Generalized Anxiety Disorder-7 (GAD-7) questionnaire [34 (link)]; were 18 years of age or older (age 19 if in Nebraska, given age of consent); could speak and read English, living in the United States; and owned and were familiar with an Internet-ready Android mobile phone with data and text plans. The PHQ-9 and GAD-7 closely match the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria for major depressive disorder and generalized anxiety disorder, respectively. Furthermore, these measures are widely used in primary care settings and useful for identifying and monitoring depression and anxiety in clinical and general populations [35 (link)-37 (link)]. Thus, these inclusion criteria are similar to what might be expected to identify people at need for real-world deployments of similar treatment options. Participants were excluded if they had any visual, hearing, voice, or motor impairments that would prevent completion of study procedures; met diagnostic criteria for a severe psychiatric disorder (eg, bipolar disorder, psychotic disorder, dissociative disorder) or any other diagnosis for which this trial was either inappropriate or dangerous; exhibited severe suicidality including having ideation, a plan, and intent; had initiated or changed antidepressant or antianxiolytic pharmacotherapy in the previous 14 days; or had used any of the IntelliCare apps for more than 1 week in the last 3 months.
Mohr D.C., Tomasino K.N., Lattie E.G., Palac H.L., Kwasny M.J., Weingardt K., Karr C.J., Kaiser S.M., Rossom R.C., Bardsley L.R., Caccamo L., Stiles-Shields C, & Schueller S.M. (2017). IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety. Journal of Medical Internet Research, 19(1), e10.
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Publication 2017
Antidepressive Agents Anxiety Disorders Bipolar Disorder CTSB protein, human Depressive Symptoms Diagnosis Disorder, Dissociative Major Depressive Disorder Mental Disorders Pharmacotherapy Population Group Primary Health Care Psychotic Disorders Self-Management Teaching
3
Quantitative Proteomics by LC-MS/MS
Cited 5 times
The LC-tandem MS system was a TSQ Vantage triple quadrupole mass spectrometry system (ThermoScientific) with a splitless nanoflow HPLC system with autoinjector (Eksigent). A 10 cm C18 column (Phenomenex Jupiter) packed in a fused silica electrospray tip (New Objective) was used. 5 µL to 10 µL Volumes of the samples were injected and loaded onto the column at 2 µL/min with 0.1% formic acid. The column was eluted at 160 nL/min with a linear gradient of CH3CN in water with 0.1% formic acid (3% CH3CN to 63% CH3CN in 30 min).
The triple quadrupole mass spectrometer was operated in the selected reaction monitoring (SRM) mode. Ion source conditions were: spray voltage = 2.5 kV, ion transfer tube temperature = 300°C, positive ions. Collision induced dissociation conditions were: Q1 and Q3 resolution = 0.7Da, collision cell pressure = 1mTorr, collision energy dependent on the m/z of the parent ion and optimized for each reaction, and cycle time was set for 1.0 sec. A total of 35 proteins were monitored in these experiments as shown in Tables 1 and 2. The SRM conditions were managed through the program Pinpoint (ThermoScientific) and included 2 peptides from each protein with 3 to 6 fragmentation reactions per peptide. Scheduling was used to monitor each peptide in a 4 min time window centered on the elution time of the peptide. Integrated chromatographic peak areas for each peptide were determined using the Pinpoint program. The response for each protein was calculated as the total integrated area for both peptides monitored for that protein. Data were analyzed as either this raw total integrated area and after normalization to the house-keeping proteins.
Kinter C.S., Lundie J.M., Patel H., Rindler P.M., Szweda L.I, & Kinter M. (2012). A Quantitative Proteomic Profile of the Nrf2-Mediated Antioxidant Response of Macrophages to Oxidized LDL Determined by Multiplexed Selected Reaction Monitoring. PLoS ONE, 7(11), e50016.
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Publication 2012
Adjustment Disorders Cells Chromatography Disorder, Dissociative formic acid High-Performance Liquid Chromatographies Mass Spectrometry Parent Peptides Pressure Proteins Silicon Dioxide Staphylococcal Protein A
4
MALDI-MS Imaging of Metabolite Distributions
Cited 5 times
All the MALDI imaging experiments and tandem MS experiments were carried out in negative-ion mode using a prototype mass microscope. The laser power was adjusted to the desired intensities. MALDI mass spectra were acquired under the conditions laser frequency 800 Hz and scanning mass range from m/z 260 to m/z 900. Regions of the tissue samples exposed to the laser irradiation were determined by light and fluorescence microscopic observations. A raster scan on the tissue surface was performed automatically (250 × 250 spots per scan). Laser irradiation was repeated 160 times for the individual spots. The spatial interval of data points was 10 μm, giving 62,500 data points in total for each section. Tandem MS analyses were performed to determine the structures of metabolites at appropriate laser energy, argon gas percentage, and collision-induced dissociation (CID) energy conditions. To identify metabolites detected in MALDI–IMS, we searched the Human Metabolome Database (http://hmdb.ca) and performed tandem MS analyses, comparing the tandem mass spectra with those from standard reagents using 9-AA as the matrix of choice in negative mode. The distribution of biomolecules that were identifies by MS2 analysis were visualized as mass images using BioMap software (http://www.maldi-msi.org) from Novartis (Basel, Switzerland).
Kubo A., Ohmura M., Wakui M., Harada T., Kajihara S., Ogawa K., Suemizu H., Nakamura M., Setou M, & Suematsu M. (2011). Semi-quantitative analyses of metabolic systems of human colon cancer metastatic xenografts in livers of superimmunodeficient NOG mice. Analytical and Bioanalytical Chemistry, 400(7), 1895-1904.
Publication 2011
Argon Disorder, Dissociative Exanthema Homo sapiens Light Mass Spectrometry Metabolome Microscopy Microscopy, Fluorescence Radionuclide Imaging Radiotherapy Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Tandem Mass Spectrometry Tissues
5
Simulations of Drug Extraction on HSA Columns
Cited 5 times

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Publication 2010
Antibodies, Immobilized Buffers Diffusion Disorder, Dissociative Kinetics Ligands Nevus Pharmaceutical Preparations Warfarin

Most recents protocols related to «Disorder, Dissociative»

1
Long-Term Longitudinal Psychiatric Outcomes
After the last 18-month follow-up, the study dataset will be sent to Statistics Denmark with a list of all invited participants to allow a non-participant analysis and long-term follow-up. The study data will be linked with data from the Danish Civil Registration System [76 (link)] e.g., the DNPR [57 (link)], the Danish National Prescription Registry [55 (link), 56 ], and other registries indexing, e.g., hospital admittance, diagnosis- and treatment codes, prescription medications, employment status, living situation (e.g., partner information), and income. We will also examine diagnostic stability [77 (link)], e.g., change of primary diagnosis from first episode depression to an anxiety or personality disorder or later recurrent depressive episode or conversion to bipolar affective disorder.
Jensen K.H., Dam V.H., Ganz M., Fisher P.M., Ip C.T., Sankar A., Marstrand-Joergensen M.R., Ozenne B., Osler M., Penninx B.W., Pinborg L.H., Frokjaer V.G., Knudsen G.M, & Jørgensen M.B. (2023). Deep phenotyping towards precision psychiatry of first-episode depression — the Brain Drugs-Depression cohort. BMC Psychiatry, 23, 151.
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Publication 2023
Anxiety Disorders Diagnosis Disorder, Dissociative Personality Disorders Prescription Drugs
2
Lifetime History of Mental Disorders
Classic mental health disorder is defined as a lifetime history of any of the following 22 diagnoses as indicated by administrative ICD‐9 codes: ADHD, adjustment disorder, alcohol, anxiety, bipolar, conduct/ODD, minor depression, MDD, eating disorders, non‐affective psychosis, organic mental disorders, other disorders, other impulse‐control disorders, personality disorders, sex disorders, sleep disorders, somatoform/dissociative disorders, traumatic stress, PTSD, drug‐induced mental illness, drug abuse without dependence, or drug dependence.
Dempsey C.L., Benedek D.M., Zuromski K.L., Nock M.K., Brent D.A., Ao J., Georg M.W., Haller K., Aliaga P.A., Heeringa S.G., Kessler R.C., Stein M.B, & Ursano R.J. (2023). Recent Stressful Experiences and Suicide Risk: Implications for Suicide Prevention and Intervention in U.S. Army Soldiers. Psychiatric Research and Clinical Practice, 5(1), 24-36.
Publication 2023
Adjustment Disorders Affective Disorders, Psychotic Anxiety Disorders Delirium, Dementia, Amnestic, Cognitive Disorders Diagnosis Disorder, Attention Deficit-Hyperactivity Disorder, Dissociative Disruptive, Impulse Control, and Conduct Disorders Drug Abuse Drug Dependence Eating Disorders Ethanol Mental Disorders Personality Disorders Pharmaceutical Preparations Physiological Sexual Disorders Post-Traumatic Stress Disorder Sleep Disorders
3
Psychogenic Non-Epileptic Seizures: Clinical Characteristics and Therapeutic Interventions
Frequency of attacks obtained from patient reports was subdivided into five divisions based on the number of attacks within 3 months prior to the time of the examination; 0, 1, 2–5, 6–10, and more than 10. The number of visits to an emergency room (ER) within 3 months prior to the time of the examination was likewise subdivided into four divisions; 0, 1, 2–5, and more than 5. The longest duration of PNES within 3 months prior to the examination was also subdivided into four categories; shorter than 5 min, 5–30 min, 30–60 min, and longer than 60 min. Several predominant features of PNES, including positive motor symptoms (rigidity, shaking), negative motor symptoms (weakness, collapse), and impaired consciousness, were noted. Intellectual disability (ID) was defined when a full‐scale IQ score was 75 points or less. The presence or absence of a psychiatric disorder was determined based on DSM‐5 criteria at the time of the examination. Further specifications of any psychiatric disorder were also based on DSM‐5 in principle. However, the presence of a psychotic disorder was simply defined as delusory and/or hallucinatory symptoms confirmed at the time of the examination independent of the DSM‐5 criteria, because delusory and/or hallucinatory states were found not only in the present patients with schizophrenia spectrum disorder but also, more frequently, in those with dissociative disorder. Dissociation and illness anxiety disorder were considered separately from PNES when symptoms different from PNES were present. Neurodevelopmental disorders such as ID and autistic spectrum disorder were considered separately from psychiatric disorder. In the present study, posttraumatic stress disorder was judged to be present only when directly life‐threatening events, such as rape, earthquake, or war, were noted in the history. Patients were regarded as belonging to an ethnic minority when they were the first or second generation of an immigrant family and included Chinese, Korean, Hispanic, Anglo‐Saxon, and Ukrainian origins.
Furthermore, the following therapeutic interventions were examined in view of the impact on the improvement of QoL score; regular visits to epilepsy specialist (n = 93), short‐term psychotherapy including premature discontinuation (n = 60), long‐term psychotherapy continued at the time of follow‐up (n = 44), administration of psychotropics (n = 48), reduction or withdrawal of antiseizure medication (n = 47), environmental adjustment (n = 60), and no therapeutic intervention (n = 46).
Kanemoto K., Tadokoro Y., Motooka H., Kawasaki J., Horinouchi T., Tsuji T., Fukuchi T, & Tomohiro O. (2023). Prospective multicenter cohort study of possible psychogenic nonepileptic seizure cases—Results at 1‐year follow‐up examinations. Epilepsia Open, 8(1), 134-145.
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Publication 2023
Anxiety Disorders Asthenia Brassica rapa Chinese Consciousness Disorder, Dissociative Earthquakes Epilepsy Ethnic Minorities Hallucinations Hispanics Immigrants Intellectual Disability Koreans Mental Disorders Muscle Rigidity Neurodevelopmental Disorders Patients Pervasive Development Disorders Pharmaceutical Preparations Post-Traumatic Stress Disorder Premature Birth Psychotherapy Psychotherapy, Brief Psychotic Disorders Psychotropic Drugs Schizophrenia Shock Therapeutics
4
PEDV S1 Protein Binding Kinetics
All the experimental procedures were set according to the Biacore X100 Manual. The optimal pH of sodium acetate for coupling PEDV S1 protein was determined by pre-experiment at the first, then PEDV S1 protein was covalent coupled to a carboxyl Au colloidal nanoparticles (C-AuNPs) chip (CM5 chip) by the EDC/NHS method at the optimal pH. The running buffer (HBS-EP, pH7.4, was filtered with a 0.22 μm filter) was then flowed through the CM5 chip. The double ratio dilution method by HBS-EP was applied to different peptides, which were injected from low concentrations to high concentrations to detect the resonance signal changes. In each cycle, the peptide solution was flowed through the chip for 120 s at a constant flow rate of 30 μL/min, and HBS-EP flowed via the chip for 120 s to dissociate the peptides from the PEDV S1 protein. 0.25% SDS was used to completely elute the peptides from the PEDV S1 protein [17 (link)]. Finally, the kinetic dissociation constant (KD) from peptides of the binding reactions were determined by Biacore X100 Evaluation Software (General Electric Company, Boston, MA, USA).
Xu Q., Wang F., Jiao W., Zhang M., Xing G., Feng H., Sun X., Hu M, & Zhang G. (2023). Virtual Screening-Based Peptides Targeting Spike Protein to Inhibit Porcine Epidemic Diarrhea Virus (PEDV) Infection. Viruses, 15(2), 381.
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Publication 2023
1-ethyl-3-(3-dimethylaminopropyl)carbodiimide N-hydroxysuccinimide Buffers Disorder, Dissociative DNA Chips Electricity Kinetics Peptides Porcine epidemic diarrhea virus Proteins Sodium Acetate Technique, Dilution Vibration
5
Adherent Cell LAND Protocol with 10x
The LAND protocol for adherent cells using 10x reagents was adapted from the Vitak et al. LAND protocol14 (link). BJ fibroblasts were first washed with 10 mL of PBS and dissociated with 3 mL of TrypLE for 10 minutes at 37 C. Media (9 mL) was used to quench the dissociation reaction and collect the cells. The cells were spun down (300 g for 5 minutes) and 200 µL of DEFND buffer (175 µL NIB, 10 µL 1 mg/mL protease inhibitor (Millipore Sigma #11429868001), 25 µL 100 mM lithium diiodosalicylate (Millipore Sigma #653–14-5)), was added and incubated on ice for 5 minutes. Immediately following this incubation, 10 mL of nuclei isolation buffer was added and the nuclei were centrifuged at 4 °C for 5 minutes at 500 g. The supernatant was removed and 100 µL of 10x Genomics Nuclei Buffer. A fraction of nuclei was stained with SYBR green and counted on a Countess with a GFP filter set. Nuclei were then tagmented and prepared for single-cell sequencing with the Chromium Single Cell ATAC kit (10x Genomics #1000176, #1000162, and #1000212) and protocol.
Olsen T.R., Talla P., Furnari J., Bruce J.N., Canoll P., Zha S, & Sims P.A. (2023). Scalable co-sequencing of RNA and DNA from individual nuclei. bioRxiv.
Publication Preprint 2023
3,5-diiodosalicylic acid, lithium salt Buffers Cell Nucleus Cells Chromium Disorder, Dissociative Fibroblasts isolation Protease Inhibitors SYBR Green I XCL1 protein, human

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More about "Disorder, Dissociative"

Dissociative disorders are a group of mental health conditions characterized by an involuntary disconnect from reality, often in response to a traumatic event.
People with these disorders may experience a sense of detachment from their thoughts, feelings, memories, actions, or even their own identity.
This can lead to a range of symptoms, including amnesia, depersonalization, and dissociative identity disorder.
Researchers can use tools like PubCompare.ai to identify the best protocols from literature, preprints, and patents, enhancing reproducibility and research accuracy for these complex mental health conditions.
This AI-driven platform allows researchers to locate optimal solutions by comparing findings across various sources.
Complementary techniques like EZ-Link Sulfo-NHS-SS-Biotin, Octet RED96 system, His-tag biosensors, Ni-NTA biosensors, and LightCycler Probe Design Software 2.0 (v1.0) can also be employed to study the underlying mechanisms of dissociative disorders.
The BLItz system, Primer Express, and High-Capacity cDNA Reverse Transcription Kit may assist in gene expression analysis, while Collagenase type II and SYBR Green I Master reaction mix can be utilized for tissue-based studies.
By leveraging a combination of advanced tools and techniques, researchers can gain deeper insights into the complex nature of dissociative disorders, ultimately improving our understanding and treatment of these conditions.