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Brain Diseases

Brain Diseases encompass a wide range of neurological disorders affecting the structure and function of the brain.
These conditions can impact cognition, movement, sonsation, and overall brain health.
Common examples include Alzheimer's disease, Parkinson's disease, stroke, traumatic brain injury, and brain tumors.
Researchers are continually exploring new diagnostic and treatment approaches to improve outcomes for those living with brain diseases.
Leveraging advanced AI-driven technologies like PubCompare.ai can help accelerate scientific discoveries and bring new therapies to patients more effeciently.

Most cited protocols related to «Brain Diseases»

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Publication 2012
Brain Diseases Childbirth Craniocerebral Trauma Diagnosis Drug Abuse Ethanol Ethics Committees, Research Nervous System Disorder Schizoaffective Disorder Schizophrenia Visually Impaired Persons
Postmortem brain tissue was obtained from the Autism Tissue Project and the Harvard Brain Bank as well as the MRC London Brain bank for Neurodegenerative Disease. Detailed information on the autism cases included in this study is available in Methods.
Publication 2011
Autistic Disorder Autopsy Brain Brain Diseases Tissues
Postmortem brain tissue was obtained from the Autism Tissue Project and the Harvard Brain Bank as well as the MRC London Brain bank for Neurodegenerative Disease. Detailed information on the autism cases included in this study is available in Methods.
Publication 2011
Autistic Disorder Autopsy Brain Brain Diseases Tissues

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Publication 2009
Brain Brain Diseases Epilepsy Ethnicity Face Gender Memory Mental Recall Patients Recognition, Psychology Schizophrenia Spatial Memory Susceptibility, Disease Task Performance Temporal Lobe Triad resin Vision Tests
We included 76 patients with a clinical diagnosis of ALS (Table 1) in accordance with modified El Escorial Criteria15 and a confirmed neuropathological diagnosis of ALS, who underwent autopsy in the Center for Neurodegenerative Disease Research (CNDR) at the University of Pennsylvania between 1985 and 2012. Informed written consent was obtained previously from all patients or for autopsy cases from their next of kin. Detailed clinical characteristics (age at onset, age at death, site of onset, disease duration, ALS global disease severity as measured by a functional rating score [ALSFRS-R],16 (link) the Mini Mental Status Examination,17 (link) and gender), were ascertained from an integrated clinical and autopsy database, as described previously,18 and by retrospective chart review of clinical visits within the University of Pennsylvania Health System (Table 1).
The majority of the ALS patients were seen by two neurologists (LE, LM). We excluded all ALS cases in the CNDR Brain Bank (N=35) for which clinical data relating to site of onset or disease duration was incomplete or equivocal. Also excluded were 6 cases, for which ≥ 3/22 CNS regions examined (see below) were unavailable, and 2 cases lacking pTDP-43 pathology, leaving a cohort of N=76 (N=30 females, N=46 males; age range 42-87 years; mean age ± SD: 63.0 ± 10.6 years from a total of 119 autopsy cases (Tables 1-2). For the subjects with missing data, their gender, disease duration, and age of death were compared to the other cases and no differences were found (data not shown). Different ALS syndromes were defined according to clinical onset of disease: cervical lower motor neuron (CLMN) ALS, lumbar lower motor neuron (LLMN) ALS, lumbar upper motor neuron (LUMN) ALS, bulbar lower motor neuron (BLMN) ALS, and bulbar upper motor neuron (BUMN) ALS.19 None of the cases in the cohort had cervical UMN onset of disease (Table 1). Unless otherwise specified, results of clinical testing used in this study were from the visits at initial presentation or disease onset (first occurrence of paresis or bulbar symptoms, e.g., dysarthria, dysphagia) as well as the visit most proximate to death, i.e., occurring within 3 months of death. Of the ALS cases included here, 5 (6.6%) had a clinical history of dementia (ALS-D) (Table 2), and met criteria for FTLD.20 (link)-22 (link)
Publication 2013
Autopsy Brain Diseases Cervix Diseases Deglutition Disorders Dementia Diagnosis Dysarthria Females Frontotemporal Lobar Degeneration Lumbar Region Males Medulla Oblongata Mini Mental State Examination Motor Neurons Neck Neurodegenerative Disorders Neurologists Paresis Patients Syndrome

Most recents protocols related to «Brain Diseases»

The study design and protocol have been approved by the ethics committees for human research at our institute (IRB number: R2019-227). This study followed a prospective and observational design. The study was performed in accordance with the approved guidelines of the Declaration of Helsinki. From November 2020 to February 2022, 133 healthy volunteers aged ≥ 20 years underwent MRI after providing written informed consent explaining the potential for detection of brain disease. Volunteers were recruited from medical staff and students, and their families by open recruitment. Inclusion criteria for this study were those who had no history of brain injury, brain tumor or cerebrovascular disease on previous brain MRI, or those who had never undergone brain MRI and no neurological symptoms including cognitive function. One volunteer aged 84 years old was excluded from this study because of a history of head surgery due to a head injury over 30 years ago. In addition, three volunteers were incidentally found small unruptured intracranial aneurysms with a maximum diameter of < 2 mm on this MRI. They were included in this study, because small unruptured aneurysms might not affect CSF motion.
Patients’ MRI data was used in an opt-out method, after their personal information was anonymized in a linkable manner. Among 44 patients suspected with NPH, 5 patients diagnosed with secondary NPH [29 (link)] that developed after subarachnoid hemorrhage [3 (link)], intracerebral hemorrhage [1 (link)], and severe meningitis [1 (link)], and 3 patients diagnosed with congenital/developmental etiology NPH [30 (link)] were excluded from this study. Finally, 36 patients diagnosed with iNPH who had radiological findings of disproportionately enlarged subarachnoid space hydrocephalus (DESH) [31 (link)], specifically ventricular dilatation, enlarged Sylvian fissure, and narrow sulci at the high convexity, and triad symptoms of gait disturbance, cognitive impairment, and/or urinary incontinence were included in this study, according to the Japanese guidelines for management of iNPH [32 (link)]. Of them, 18 patients (50%) underwent CSF removal in 30–35 ml via a lumbar tap and were evaluated for changes in their symptoms before, one day and two days after the CSF tap test. In addition, 21 patients (86%) underwent CSF shunt surgery and their symptoms improved by ≥ 1 point on the modified Rankin Scale and/or the Japanese iNPH grading scale [32 (link)].
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Publication 2023
Aneurysm Brain Brain Diseases Brain Injuries Brain Neoplasms Cerebral Hemorrhage Cognition Craniocerebral Trauma Dilatation Disorders, Cognitive Ethics Committees Head Healthy Volunteers Heart Ventricle Homo sapiens Hydrocephalus Intracranial Aneurysm Japanese Lumbar Region Medical Staff Meningitis Neurologic Symptoms Operative Surgical Procedures Patients Shunt, Cerebrospinal Fluid Student Subarachnoid Hemorrhage Subarachnoid Space Triad resin Urinary Incontinence Voluntary Workers X-Rays, Diagnostic
A total of 62 participants (38 women and 24 men) were examined in this study. Of these, 31 patients fulfilled the criteria of OCD [ICD-10 F42.X: mean age 35.2 (SD = 10.7) years] and 31 subjects formed the healthy control group [mean age 39.1 (SD = 15.0) years]. A detailed description of the groups can be found in Table 1.

Sociodemographic and clinical characteristics

TraitOCDN = 31HCN = 31p-value*
Age, mean (SD), years38,7 (11,9)39,6 (13,1)n. s
Gender
 Female n,19 (61,3%)19 (61,3%)n. s
 Male n,12 (38,7%)12 (38,7%)
Marital status
 Single, n17 (54,8%)12(38,7%)
 Married, n9 (29,0%)19 (61,3%)p = 0.009
 Divorced, n5 (16,1%)0
Current Partnership
 - No13 (41,9%)7 (22,6%)n. s
 - Yes18 (58,1%)24 (77,4%)
Graduation
 High school, n25 (80,7%)24 (77,4)
 Junior high school, n3 (9,7%)5 (16,1%)n. s
 Low school., n3 (9,7%)2 (6,5%)
Occupational status

 Current employment

(Including be a student), n

22 (71,0%)27 (87,1%)n. s
  No current Job,9 (29,0%)4 (12,9%)
Diagnosis (ICD-10)
 F42.0, n5 (16,1%)/
 F42.2, n26 (83,9%)
Age of onset
 mean (SD), years23,2 (9,1)/
Duration of illness
 mean (SD), years15,8 (10,8)/

*x2-Test/ t-Test; n. s. non-significant, OCD Obsessive–compulsive disorder, HC Healthy controls

All OCD patients were recruited and examined during their treatment at the Department of Psychiatry (LWL-University Hospital of the Medical Faculty of Ruhr-University Bochum, special outpatient clinic for OCDs). Examination of the healthy volunteers also took place at the LWL-University Hospital Bochum and recruitment was via notices and flyers.
Patients and healthy volunteers aged 18–67 years were included. Further inclusion criteria were a verbal IQ > 70, sufficient German language skills and the ability to give informed consent according to the Helsinki and ICH-GCP declarations. Exclusion criteria for the study were: severe somatic diseases; other mental diseases, such as reduced intelligence (ICD10 F70–F70.9), schizophrenia (ICD10 F20–F20.9) or organic brain disorders (ICD10 F06–F06.9, dependence on illegal drugs); acute suicidal tendencies or behaviour endangering others; and lack of informed consent to participate in the study.
Furthermore, psychopharmacotherapy was not an exclusion criterion for patients with OCD. In this respect, 96.8% of the patients (n = 30) received monotherapy, whereby antidepressants from the selective serotonin reuptake inhibitor group [e.g. sertraline (n = 21), escitalopram, paroxetine, fluoxetine] but also clomipramine (a tricyclic antidepressant) were predominantly used. Moreover, seven of the patients received a combination treatment (mainly a sedating antipsychotic medication, e.g. promethazine or quetiapine). At the time of inclusion in the study, 12 patients were receiving psychotherapeutic treatment (validation therapy: n = 9; deep psychology: n = 3). Only five of the patients (16.1%) with OCD had not received psychotherapy at the time of study inclusion, either currently or in the past. A detailed anamnesis was taken from all OCD patients and healthy volunteers in a semi-structured interview (duration 45–60 min). The psychometric characteristics, including shame and guilty proneness, were gathered using various questionnaires.
The study was approved by the local Ethics Committee (No. 20–6883) of the Medical Faculty of Ruhr-University Bochum.
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Publication 2023
Antidepressive Agents Antipsychotic Agents Brain Diseases Clomipramine Diagnosis Diploid Cell Drug Dependence Escitalopram Faculty, Medical Fluoxetine Guilt Healthy Volunteers Immunologic Memory Males Paroxetine Patients Promethazine Psychometrics Psychotherapy Psychotic Disorders Psychotropic Drugs Quetiapine Regional Ethics Committees Schizophrenia Selective Serotonin Reuptake Inhibitors Sertraline Shame Student Therapeutics Tricyclic Antidepressive Agents Woman
The study population comprised three subpopulations; (1) Patients diagnosed with schizophrenia less than 2 years before inclusion in the study (patients diagnosed with SCZ < 2), (2) Psychiatric healthy controls (PHC) with no history of mental illness matched to patients diagnosed with SCZ < 2 on age, sex, and smoking status (smoker/non-smoker) at the time of inclusion, and (3) Patients diagnosed with schizophrenia 10 or more years before inclusion (patients diagnosed with SCZ ≥ 10). Patients with schizophrenia were recruited from the North Denmark Region. Only patients 18 years or older at inclusion diagnosed with schizophrenia or schizo-affective disorder (ICD-10 F20 or F25) and being able to give written informed consent, were included in the study. In Denmark, schizophrenia is defined according to ICD-10, which lists first-rank symptoms, delusions of bizarre characteristics or a combination of at least two of the following symptoms: hallucinations on a daily basis combined with delusions, catatonia, negative symptoms or disorganized thinking.
First-rank symptoms include auditory hallucinations commenting or conversing, somatic hallucinations, thought withdrawal or thought broadcasting. The presence of a brain disorder, drug intoxication or withdrawal hinder the diagnosis of schizophrenia.Patients were excluded if pregnant, breastfeeding or if they were unable to participate in the planned program for the primary cohort study [13 (link)].
Using a random recruitment approach, psychiatrically healthy controls were matched on age, sex, and smoking status to patients diagnosed with SCZ < 2. They were invited to participate in this comprehensive cardiac screening programme.
The clinical prospective cohort study has been approved by The North Denmark Region Committee on Health Research Ethics (N-20140047) and is consistent with the ethical standards of the Declaration of Helsinki 2013. The personal data categories collected by the project has been registered in the processing activities of research in the North Denmark Region in compliance with the European Union’s GDPR article 30.
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Publication 2023
Brain Diseases Catatonia Delusions Hallucinations Hallucinations, Auditory Hallucinations, Somatic Heart Mental Disorders Mental Health Patients Population Group Schizoaffective Disorder Schizophrenia Toxicity, Drug
Study materials were collected from the Suzhou Taicang Hospital of Traditional Chinese Medicine from November 2020 to August 2022. There were 178 cases where a diagnosis of AIS was made. The ethics committee of the Suzhou Taicang Hospital of Traditional Chinese Medicine approved this study and waived patient consent due to the retrospective study design (Grant No. 2022-023). All study procedures were carried out in accordance with the relevant guidelines and regulations.
Among these 178 cases, 57 patients who met the following criteria at our institution were retrospectively included in this study: (1) all patients clinically diagnosed with AIS had undergone one-stop, plain CT scan, CTP, and CTA, (2) all scans were performed within the 24 h of the onset of AIS, (3) all data had undergone valid quantitative analysis by F-STROKE (16 (link)), an automated perfusion analysis software (version 1.0.18; Neuroblast, Ltd. Co.), (4) all diagnostic images were clear, with no obvious motion artifacts or metallic artifacts evident, (5) no other brain diseases, such as brain tumors, vascular malformations, or cerebral hemorrhages, and (6) no previous history of thrombolytic therapy or massive cerebral infarction. Exclusion criteria included (1) the time of onset was >24 h, (2) the quantitative value was too small (ischaemic focus range: <5 mL), as determined using the F-STROKE software, (3) a history of thrombolytic therapy or massive cerebral infarction, (4) brain tumor or cerebrovascular disease, or (5) CT image quality did not meet the evaluation requirements (e.g., based on the presence of titanium clip artifacts or heavy motion artifacts). A flow chart of the inclusion/exclusion process is displayed in Figure 1. The CTA showed corresponding stenosis or occlusion in 50 cases and was normal in 7 cases.
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Publication 2023
Brain Diseases Brain Neoplasms Cerebral Hemorrhage Cerebral Infarction Cerebrovascular Accident Cerebrovascular Disorders Clip Dental Occlusion Diagnosis Ethics Committees, Clinical Metals Patients Perfusion Radionuclide Imaging Stenosis Thrombolytic Therapy Titanium Vascular Malformations X-Ray Computed Tomography
CNS ORR, CNS disease control rate (DCR), CNS duration of response (DoR), CNS PFS, CNS time to response (TTR), cumulative incidence of CNS failure and best percentage change from baseline in TL size were recorded to evaluate the CNS response. CNS ORR was defined as the percentage of patients who achieved a best CNS response of complete response (CR) or partial response (PR). CNS DCR was defined as the proportion of patients with a CR or PR or stable disease (SD) in brain lesions. CNS DoR was defined as the time from first documentation of intracranial CR or PR until the time of progression (including intracranial progressive disease [PD] or extracranial PD) or death of any reason, whichever came first. CNS PFS was defined as the time from the first dose of afatinib until the time of progression (including intracranial PD or extracranial PD) or death of any reason, whichever came first. And CNS TTR was defined as the time from the first dose of afatinib to the time when the intracranial CR or PR to afatinib was first evaluated. The ORR and DCR were calculated with exact Clopper-Pearson 95% confidence intervals (CIs) based on the exact binomial distribution, and compared by chi-square test or Fisher’s exact test. CNS DoR, PFS, and TTR were estimated by the Kaplan-Meier method with corresponding 95% CIs, and compared by log-rank test. Besides, a Cox proportional hazards model was applied to estimate HRs and 95% CIs with significance set at p <0.05 level. A competing risk analysis estimating the cumulative incidence for the event of interest (CNS progression) in the presence of competing risk event (non-CNS progression) was performed using a semiparametric Fine–Gray regression model. All the p values reported in the analysis were two-sided, and a p <0.05 level was considered statistically significant in the tests. And all statistical analyses were calculated using SPSS (version 26.0) except for the competing risks analysis, which were calculated with R software (version 4.1.2), and plots were executed using R software (version 4.1.2).
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Publication 2023
Afatinib Brain Diseases Disease Progression Patients

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More about "Brain Diseases"

Brain disorders, neurological conditions, and CNS impairments encompass a wide range of pathologies affecting the structure, function, and health of the brain.
These neurological diseases can impact cognition, movement, sensation, and overall brain functioning.
Common examples include dementia (e.g., Alzheimer's disease), movement disorders (e.g., Parkinson's disease), cerebrovascular events (e.g., stroke), traumatic brain injuries, and brain tumors.
Researchers are continuously exploring new diagnostic approaches, such as advanced neuroimaging techniques like MRI (e.g., GE Discovery 750 MRI) and fluorescent labeling (e.g., Alexa Fluor 488 conjugated NeuN), as well as innovative treatment strategies to improve outcomes for individuals living with brain diseases.
Additionally, the application of AI-driven technologies, like PubCompare.ai, is revolutionizing brain disease research by streamlining the identification and comparison of the latest protocols from literature, preprints, and patents.
This enables researchers to more efficiently locate the best solutions for their studies and accelerate scientific discoveries, ultimately leading to the development of new therapies for patients.
Leveraging the power of AI, researchers can explore brain disease mechanisms, test novel interventions, and bring breakthroughs to the clinic more rapidly.
The future of brain disease research and treatment is being shaped by these cutting-edge advancements, empowering researchers to make meaningful progress in understanding and addressing these complex neurological conditions.