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BACKGROUND AND PURPOSE: Traumatic brain injury (TBI) is a major source of health loss and disability worldwide. Accurate and timely diagnosis of TBI is critical for appropriate treatment and management of the condition. Neuroimaging plays a crucial role in the diagnosis and characterization of TBI. Computed tomography (CT) is the first-line diagnostic imaging modality typically utilized in patients with suspected acute mild, moderate and severe TBI. Radiology reports play a crucial role in the diagnostic process, providing critical information about the location and extent of brain injury, as well as factors that could prevent secondary injury. However, the complexity and variability of radiology reports can make it challenging for healthcare providers to extract the necessary information for diagnosis and treatment planning. METHODS/RESULTS/CONCLUSION: In this article, we report the efforts of an international group of TBI imaging experts to develop a clinical radiology report template for CT scans obtained in patients suspected of TBI and consisting of fourteen different subdivisions (CT technique, mechanism of injury or clinical history, presence of scalp injuries, fractures, potential vascular injuries, potential injuries involving the extra-axial spaces, brain parenchymal injuries, potential injuries involving the cerebrospinal fluid spaces and the ventricular system, mass effect, secondary injuries, prior or coexisting pathology).
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Lesões Encefálicas Traumáticas , Tomografia Computadorizada por Raios X , Lesões Encefálicas Traumáticas/diagnóstico por imagem , Humanos , Tomografia Computadorizada por Raios X/métodosRESUMO
The National Association of Epilepsy Centers first published the guidelines for epilepsy centers in 1990, which were last updated in 2010. Since that update, epilepsy care and the science of guideline development have advanced significantly, including the importance of incorporating a diversity of stakeholder perspectives such as those of patients and their caregivers. Currently, despite extensive published data examining the efficacy of treatments and diagnostic testing for epilepsy, there remain significant gaps in data identifying the essential services needed for a comprehensive epilepsy center and the optimal manner for their delivery. The trustworthy consensus-based statements (TCBS) process produces unbiased, scientifically valid guidelines through a transparent process that incorporates available evidence and expert opinion. A systematic literature search returned 5937 relevant studies from which 197 articles were retained for data extraction. A panel of 41 stakeholders with diverse expertise evaluated this evidence and drafted recommendations following the TCBS process. The panel reached consensus on 52 recommendations covering services provided by specialized epilepsy centers in both the inpatient and outpatient settings in major topic areas including epilepsy monitoring unit care, surgery, neuroimaging, neuropsychology, genetics, and outpatient care. Recommendations were informed by the evidence review and reflect the consensus of a broad panel of expert opinions.
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Epilepsia , Humanos , Consenso , Epilepsia/diagnóstico , Epilepsia/terapia , NeuroimagemRESUMO
INTRODUCTION: Patients who are immunocompromised face an increased chance of severe COVID-19 infection compared with patients who are immunocompetent. However, vaccine efficacy for COVID-19 appears to be lower in patients who are immunocompromised. Tixagevimab-cilgavimab are monoclonal antibodies designed to enhance immune defense against COVID-19. Nevertheless, the safety and efficacy of tixagevimab-cilgavimab specifically in patients who are immunocompromised remains unknown. METHODS: The authors conducted a retrospective case study of patients who were immunocompromised and received tixagevimab-cilgavimab between January 3, 2022 to July 31, 2022 at Kaiser Permanente Southern California. All patients were monitored for 180 days following tixagevimab-cilgavimab administration. Patients who were immunocompromised included those with solid tumors, hematologic malignancies, primary immunodeficiencies, recipients of solid organ or hematopoietic stem cell transplants, and patients undergoing treatment with immunosuppressive medications (eg, chemotherapy, high-dose corticosteroids, tumor necrosis factor blockers, and certain biologic agents). RESULTS: A total of 2352 patients who were immunocompromised were included in the study. Among them, 101 patients (4.3%) tested positive for COVID-19, and 13 patients (0.6%) required COVID-19-related hospital admissions. Notably, no deaths were reported within 180 days following tixagevimab-cilgavimab administration. Additionally, 4 patients (0.17%) sought same-day medical care after receiving tixagevimab-cilgavimab. Within 30 days, there were 39 non-COVID-19-related hospital admissions (1.7%) and within 7 days, 11 hospital admissions (0.5%) occurred after tixagevimab-cilgavimab administration. DISCUSSION: Tixagevimab-cilgavimab demonstrated a low incidence of COVID-19 and COVID-19-related hospital admissions in patients who were immunocompromised, with no reported mortality. Furthermore, there were no significant adverse effects associated with the use of these monoclonal antibodies. CONCLUSION: Tixagevimab-cilgavimab exhibited a low incidence of COVID-19 and adverse effects in patients who were immunocompromised.
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COVID-19 , Humanos , Estudos Retrospectivos , Anticorpos MonoclonaisRESUMO
Magnetoencephalography (MEG) is a non-invasive functional imaging technique for pre-surgical mapping. However, movement-related MEG functional mapping of primary motor cortex (M1) has been challenging in presurgical patients with brain lesions and sensorimotor dysfunction due to the large numbers of trails needed to obtain adequate signal to noise. Moreover, it is not fully understood how effective the brain communication is with the muscles at frequencies above the movement frequency and its harmonics. We developed a novel Electromyography (EMG)-projected MEG source imaging technique for localizing M1 during ~1 minute recordings of left and right self-paced finger movements (~1 Hz). High-resolution MEG source images were obtained by projecting M1 activity towards the skin EMG signal without trial averaging. We studied delta (1-4 Hz), theta (4-7 Hz), alpha (8-12 Hz), beta (15-30 Hz), and gamma (30-90 Hz) bands in 13 healthy participants (26 datasets) and two presurgical patients with sensorimotor dysfunction. In healthy participants, EMG-projected MEG accurately localized M1 with high accuracy in delta (100.0%), theta (100.0%), and beta (76.9%) bands, but not alpha (34.6%) and gamma (0.0%) bands. Except for delta, all other frequency bands were above the movement frequency and its harmonics. In both presurgical patients, M1 activity in the affected hemisphere was also accurately localized, despite highly irregular EMG movement patterns in one patient. Altogether, our EMG-projected MEG imaging approach is highly accurate and feasible for M1 mapping in presurgical patients. The results also provide insight into movement related brain-muscle coupling above the movement frequency and its harmonics.
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Advancements in deep learning algorithms over the past decade have led to extensive developments in brain-computer interfaces (BCI). A promising imaging modality for BCI is magnetoencephalography (MEG), which is a non-invasive functional imaging technique. The present study developed a MEG sensor-based BCI neural network to decode Rock-Paper-scissors gestures (MEG-RPSnet). Unique preprocessing pipelines in tandem with convolutional neural network deep-learning models accurately classified gestures. On a single-trial basis, we found an average of 85.56% classification accuracy in 12 subjects. Our MEG-RPSnet model outperformed two state-of-the-art neural network architectures for electroencephalogram-based BCI as well as a traditional machine learning method, and demonstrated equivalent and/or better performance than machine learning methods that have employed invasive, electrocorticography-based BCI using the same task. In addition, MEG-RPSnet classification performance using an intra-subject approach outperformed a model that used a cross-subject approach. Remarkably, we also found that when using only central-parietal-occipital regional sensors or occipitotemporal regional sensors, the deep learning model achieved classification performances that were similar to the whole-brain sensor model. The MEG-RSPnet model also distinguished neuronal features of individual hand gestures with very good accuracy. Altogether, these results show that noninvasive MEG-based BCI applications hold promise for future BCI developments in hand-gesture decoding.
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Interfaces Cérebro-Computador , Aprendizado Profundo , Humanos , Magnetoencefalografia , Gestos , Eletroencefalografia/métodos , AlgoritmosRESUMO
Background: The Chicago Classification version 4.0 (CCv4.0) of ineffective esophageal motility (IEM) is more stringent than the Chicago Classification version 3.0 (CCv3.0) definition. We aimed to compare the clinical and manometric features of patients meeting CCv4.0 IEM criteria (group 1) versus patients meeting CCv3.0 IEM but not CCv4.0 criteria (group 2). Methods: We collected retrospective clinical, manometric, endoscopic, and radiographic data on 174 adults diagnosed with IEM from 2011 to 2019. Complete bolus clearance was defined as evidence of exit of the bolus by impedance measurement at all distal recording sites. Barium studies included barium swallow, modified barium swallow, and barium upper gastrointestinal series studies, and collected data from these reports include abnormal motility and delay in the passage of liquid barium or barium tablet. These data along with other clinical and manometric data were analyzed using comparison and correlation tests. All records were reviewed for repeated studies and the stability of the manometric diagnoses. Results: Most demographic and clinical variables were not different between the groups. A lower mean lower esophageal sphincter pressure was correlated with greater percent of ineffective swallows in group 1 (n = 128) (r = -0.2495, P = 0.0050) and not in group 2. In group 1, increased percent of failed contractions on manometry was associated with increased incomplete bolus clearance (r = 0.3689, P = 0.0001). No such association was observed in group 2. A lower median integrated relaxation pressure was correlated with greater percent of ineffective contractions in group 1 (r = -0.1825, P = 0.0407) and not group 2. Symptom of dysphagia was more prevalent (51.6% versus 69.6%, P = 0.0347) in group 2. Dysphagia was not associated with intrabolus pressure, bolus clearance, barium delay, or weak or failed contractions in either group. In the small number of subjects with repeated studies, a CCv4.0 diagnosis appeared more stable over time. Conclusions: CCv4.0 IEM was associated with worse esophageal function indicated by reduced bolus clearance. Most other features studied did not differ. Symptom presentation cannot predict if patients are likely to have IEM by CCv4.0. Dysphagia was not associated with worse motility, suggesting it may not be primarily dependent on bolus transit.
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In this review article we have consolidated the imaging literature of patients with schizophrenia across the full spectrum of modalities in radiology including computed tomography (CT), morphologic magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), magnetic resonance spectroscopy (MRS), positron emission tomography (PET), and magnetoencephalography (MEG). We look at the impact of various subtypes of schizophrenia on imaging findings and the changes that occur with medical and transcranial magnetic stimulation (TMS) therapy. Our goal was a comprehensive multimodality summary of the findings of state-of-the-art imaging in untreated and treated patients with schizophrenia. Clinical imaging in schizophrenia is used to exclude structural lesions which may produce symptoms that may mimic those of patients with schizophrenia. Nonetheless one finds global volume loss in the brains of patients with schizophrenia with associated increased cerebrospinal fluid (CSF) volume and decreased gray matter volume. These features may be influenced by the duration of disease and or medication use. For functional studies, be they fluorodeoxyglucose positron emission tomography (FDG PET), rs-fMRI, task-based fMRI, diffusion tensor imaging (DTI) or MEG there generally is hypoactivation and disconnection between brain regions. However, these findings may vary depending upon the negative or positive symptomatology manifested in the patients. MR spectroscopy generally shows low N-acetylaspartate from neuronal loss and low glutamine (a neuroexcitatory marker) but glutathione may be elevated, particularly in non-treatment responders. The literature in schizophrenia is difficult to evaluate because age, gender, symptomatology, comorbidities, therapy use, disease duration, substance abuse, and coexisting other psychiatric disorders have not been adequately controlled for, even in large studies and meta-analyses.
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BACKGROUND: Solid organ transplant recipients (SOTr) are at increased risk for severe disease from coronavirus disease 2019 (COVID-19) compared with non-SOTr. METHODS: We performed a retrospective cohort study between March 1, 2020, and March, 30, 2021, in an integrated healthcare system with 4.3 million members aged ≥18 y including 5126 SOTr. Comparisons in COVID-19 mortality, hospitalization, and incidence were made between SOTr and non-SOTr, and between different SOTr organs. Multivariate analysis was performed to identify risk factors for COVID-19 mortality and hospitalization. RESULTS: There were 600 SOTr (kidney, liver, heart, and lung) with COVID-19. Per person-year incidence of COVID-19 among SOTr was 10.0% versus 7.6% among non-SOTr (P < 0.0001). Compared with uninfected SOTr, infected SOTr were older (57.1 ± 14.0 versus 45.7 ± 17.9 y, P < 0.001), predominantly Hispanic/Latino (58.8% versus 38.6%, P < 0.0001), hypertensive (77.0% versus 23.8%; P < 0.0001), and diabetic (49.6% versus 13.0%; P = 0.0009). Compared with non-SOTr, infected SOTr had higher hospitalization (39.5% versus 6.0%; P < 0.0001), intensive care unit admission (29.1% versus 15.5%; P < 0.0001), and mortality (14.7% versus 1.8%; P < 0.0001) from COVID-19. Older age (hazard ratio [HR], 1.07; 95% confidence interval [CI], 1.05-1.10), male gender (HR, 1.79; 95% CI, 1.11-2.86), and higher body mass index (HR, 1.04; 95% CI, 1.00-1.09; P = 0.047) were associated with increased mortality from COVID-19, whereas race, diabetes, and number/type of immunosuppressive medications were not. Among the different SOTr, COVID-19 mortality risk was lowest in liver recipients (HR, 0.34; 95% CI, 0.16-0.73) and highest in lung recipients (HR, 1.74; 95% CI, 0.68-4.42). CONCLUSIONS: SOTr have higher rates of hospitalization and mortality from COVID-19 compared with the general population. Among the SOTr, the incidence and outcomes were distinct among different transplantation types.
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COVID-19 , Diabetes Mellitus , Transplante de Órgãos , Humanos , Masculino , Incidência , COVID-19/epidemiologia , Estudos Retrospectivos , Transplante de Órgãos/efeitos adversos , Estudos de Coortes , Fatores de Risco , Diabetes Mellitus/epidemiologia , Diabetes Mellitus/etiologiaRESUMO
Background: Spatial cognition deteriorates in Parkinson's disease (PD), but the neural substrates are not understood, despite the risk for future dementia. It is also unclear whether deteriorating spatial cognition relates to changes in other cognitive domains or contributes to motor dysfunction. Objective: This study aimed to identify functional connectivity abnormalities in cognitively normal PD (PDCN) in regions that support spatial cognition to determine their relationship to interfacing cognitive functions and motor disability, and to determine if they predict cognitive and motor progression 2 years later in a PDCN subsample. Methods: Sixty-three PDCN and 43 controls underwent functional MRI while judging whether pictures, rotated at various angles, depicted the left or right hand. The task activates systems that respond to increases in rotation angle, a proxy for visuospatial difficulty. Angle-modulated functional connectivity was analyzed for frontal cortex, posterior cortex, and basal ganglia regions. Results: Two aberrant connectivity patterns were found in PDCN, which were condensed into principal components that characterized the strength and topology of angle-modulated connectivity. One topology related to a marked failure to amplify frontal, posterior, and basal ganglia connectivity with other brain areas as visuospatial demands increased, unlike the control group (control features). Another topology related to functional reorganization whereby regional connectivity was strengthened with brain areas not recruited by the control group (PDCN features). Functional topologies correlated with diverse cognitive domains at baseline, underscoring their influences on spatial cognition. In PDCN, expression of topologies that were control features predicted greater cognitive progression longitudinally, suggesting inefficient communications within circuitry normally recruited to handle spatial demands. Conversely, stronger expression of topologies that were PDCN features predicted less longitudinal cognitive decline, suggesting functional reorganization was compensatory. Parieto-occipital topologies (control features) had different prognostic implications for longitudinal changes in motor disability. Expression of one topology predicted less motor decline, whereas expression of another predicted increased postural instability and gait disturbance (PIGD) feature severity. Concurrently, greater longitudinal decline in spatial cognition predicted greater motor and PIGD feature progression, suggesting deterioration in shared substrates. Conclusion: These novel discoveries elucidate functional mechanisms of visuospatial cognition in PDCN, which foreshadow future cognitive and motor disability.
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PURPOSE: The study aims to (1) examine the spatiotemporal map of magnetoencephalography-evoked responses during an Auditory Memory Retrieval and Silent Repeating (AMRSR) task, and determine the hemispheric dominance for language, and (2) evaluate the accuracy of the AMRSR task in Wernicke and Broca area localization. METHODS: In 30 patients with brain tumors and/or epilepsies, the AMRSR task was used to evoke magnetoencephalography responses. We applied Fast VEctor-based Spatial-Temporal Analyses with minimum L1-norm source imaging method to the magnetoencephalography responses for localizing the brain areas evoked by the AMRSR task. RESULTS: The Fast-VEctor-based Spatial-Temporal Analysis found consistent activation in the posterior superior temporal gyrus around 300 to 500 ms, and another activation in the frontal cortex (pars opercularis and/or pars triangularis) around 600 to 900 ms, which were localized to the Wernicke area (BA 22) and Broca area (BA 44 and BA 45), respectively. The language-dominant hemispheric laterization elicited by the AMRSR task was comparable with the result from an Auditory Dichotic task result given to the same patient, with the exception that AMRSR is more sensitive on bilateral language laterization cases on finding the Wernicke and Broca areas. CONCLUSIONS: For all patients who successfully finished the AMRSR task, Fast-VEctor-based Spatial-Temporal Analysis could establish accurate and robust localizations of Broca and Wernicke area and determine hemispheric dominance. For subjects with normal auditory functionality, the AMRSR paradigm evaluation showed significant promise in providing reliable assessments of cerebral language dominance and language network localization.
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Blast-related mild traumatic brain injury (bmTBI) often leads to long-term sequalae, but diagnostic approaches are lacking due to insufficient knowledge about the predominant pathophysiology. This study aimed to build a diagnostic model for future verification by applying machine-learning based support vector machine (SVM) modeling to diffusion tensor imaging (DTI) datasets to elucidate white-matter features that distinguish bmTBI from healthy controls (HC). Twenty subacute/chronic bmTBI and 19 HC combat-deployed personnel underwent DTI. Clinically relevant features for modeling were selected using tract-based analyses that identified group differences throughout white-matter tracts in five DTI metrics to elucidate the pathogenesis of injury. These features were then analyzed using SVM modeling with cross validation. Tract-based analyses revealed abnormally decreased radial diffusivity (RD), increased fractional anisotropy (FA) and axial/radial diffusivity ratio (AD/RD) in the bmTBI group, mostly in anterior tracts (29 features). SVM models showed that FA of the anterior/superior corona radiata and AD/RD of the corpus callosum and anterior limbs of the internal capsule (5 features) best distinguished bmTBI from HCs with 89% accuracy. This is the first application of SVM to identify prominent features of bmTBI solely based on DTI metrics in well-defined tracts, which if successfully validated could promote targeted treatment interventions.
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In Parkinson's disease (PD) functional changes in the brain occur years before significant cognitive symptoms manifest yet core large-scale networks that maintain cognition and predict future cognitive decline are poorly understood. The present study investigated internetwork functional connectivity of visual (VN), anterior and posterior default mode (aDMN, pDMN), left/right frontoparietal (LFPN, RFPN), and salience (SN) networks in 63 cognitively normal PD (PDCN) and 43 healthy controls who underwent resting-state functional MRI. The functional relevance of internetwork coupling topologies was tested by their correlations with baseline cognitive performance in each group and with 2-year cognitive changes in a PDCN subsample. To disentangle heterogeneity in neurocognitive functioning, we also studied whether α-synuclein (SNCA) and microtubule-associated protein tau (MAPT) variants alter internetwork connectivity and/or accelerate cognitive decline. We found that internetwork connectivity was largely preserved in PDCN, except for reduced pDMN-RFPN/LFPN couplings, which correlated with poorer baseline global cognition. Preserved internetwork couplings also correlated with domain-specific cognition but differently for the two groups. In PDCN, stronger positive internetwork coupling topologies correlated with better cognition at baseline, suggesting a compensatory mechanism arising from less effective deployment of networks that supported cognition in healthy controls. However, stronger positive internetwork coupling topologies typically predicted greater longitudinal decline in most cognitive domains, suggesting that they were surrogate markers of neuronal vulnerability. In this regard, stronger aDMN-SN, LFPN-SN, and/or LFPN-VN connectivity predicted longitudinal decline in attention, working memory, executive functioning, and visual cognition, which is a risk factor for dementia. Coupling strengths of some internetwork topologies were altered by genetic variants. PDCN carriers of the SNCA risk allele showed amplified anticorrelations between the SN and the VN/pDMN, which supported cognition in healthy controls, but strengthened pDMN-RFPN connectivity, which maintained visual memory longitudinally. PDCN carriers of the MAPT risk allele showed greater longitudinal decline in working memory and increased VN-LFPN connectivity, which in turn predicted greater decline in visuospatial processing. Collectively, the results suggest that cognition is maintained by functional reconfiguration of large-scale internetwork communications, which are partly altered by genetic risk factors and predict future domain-specific cognitive progression.
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AIM: Colorectal cancer (CRC) is the third most deadly and fourth most common cancer worldwide. Early detection, resection, and appropriate surveillance of precursor polyps result in better outcomes. Colonoscopy is a safe, accurate, and effective tool for surveillance and follow-up of premalignant polyps. Recommended surveillance intervals are based on polyp, procedural, and patient-related factors. The United States Multi-Society Task Force (MSTF) on CRC publishes guidelines with periodic updates on surveillance. We sought to evaluate adherence to post-polypectomy surveillance guidelines by academic gastroenterologists at a high-volume center. METHODS: One-year retrospective study evaluating compliance with post-polypectomy recommendations after average risk adult screening colonoscopies. Data was collected on number and size of polyps, quality of bowel prep, initial follow-up recommendations, polyp pathology, and follow-up recommendations. Correlation with the 2012 MSTF guidelines was also evaluated. Endoscopist experience was categorized as greater or less than 10 years of practice experience. Binomial regression was used to model the association between the providers' years of experience (<10 vs. >10) and the likelihood of agreement between initial assessment and post-pathology assessment. RESULTS: There was a greater than 85% adherence to post-polypectomy surveillance guidelines, independent of endoscopist experience. CONCLUSION: There is a high level of adherence to post-polypectomy guidelines by practicing academic gastroenterologists independent of post-fellowship clinical experience.
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Pólipos do Colo , Neoplasias Colorretais , Gastroenterologistas , Adulto , Pólipos do Colo/patologia , Colonoscopia , Neoplasias Colorretais/patologia , Seguimentos , Humanos , Estudos Retrospectivos , Estados UnidosRESUMO
BACKGROUND: T1ρ has been extensively reported as a sensitive biomarker of biochemical changes in the nucleus pulposus (NP) and annulus fibrosis of intervertebral discs (IVDs). However, no T1ρ study of cartilaginous endplates (CEPs) has yet been reported because the relatively long echo times (TEs) of conventional clinical T1ρ sequences cannot effectively capture the fast-decaying magnetic resonance signals of CEPs, which have very short T2/T2*s. This can be overcome by using ultrashort echo time (UTE) T1ρ acquisitions. METHODS: Seventeen subjects underwent UTE with adiabatic T1ρ preparation (UTE-Adiab-T1ρ) and T2-weighted fast spin echo imaging of their lumbar spines. Each IVD was manually segmented into seven regions (i.e., outer anterior annulus fibrosis, inner anterior annulus fibrosis, outer posterior annulus fibrosis, inner posterior annulus fibrosis, superior CEP, inferior CEP, and NP). T1ρ values of these sub-regions were correlated with IVD modified Pfirrmann grades and subjects' ages. In addition, T1ρ values were compared in subjects with and without low back pain (LBP). RESULTS: Correlations of T1ρ values of the outer posterior annulus fibrosis, superior CEP, inferior CEP, and NP with modified Pfirrmann grades were significant (P<0.05) with R values of 0.51, 0.36, 0.38, and -0.94, respectively. Correlations of T1ρ values of the outer anterior annulus fibrosis, outer posterior annulus fibrosis, and NP with ages were significant with R equal to 0.52, 0.71, and -0.76, respectively. T1ρ differences of the outer posterior annulus fibrosis, inferior CEP, and NP between the subjects with and without LBP were significant (P=0.005, 0.020, and 0.000, respectively). CONCLUSIONS: The UTE-Adiab-T1ρ sequence can quantify T1ρ of whole IVDs including CEPs. This is an advance, and of value for comprehensive assessment of IVD degeneration.
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An esophagopleural fistula (EPF) is a rare condition. EPFs are typically of spontaneous, iatrogenic, or neoplastic origin. A 50-year-old man with hepatitis C and alcoholic cirrhosis presented with a history of recurrent variceal hemorrhage requiring esophageal banding, Minnesota tube placement, and a transjugular intrahepatic portosystemic shunt. His hospital course after esophageal perforation and EPF was complicated by acute respiratory failure and empyema, necessitating intubation and thoracostomy tube placement. To the best of our knowledge, this is the first reported case of EPF secondary to Minnesota tube placement. The EPF completely healed after endoscopic repair.
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Decline in semantic cognition in early stages of Parkinson's disease (PD) is a leading risk factor for future dementia, yet the underlying neural mechanisms are not understood. The present study addressed this gap by investigating the functional connectivity of regions involved in semantic recollection. We further examined whether microtubule-associated protein tau (MAPT) risk variants, which may accelerate cognitive decline, altered the strength of regional functional connections. Cognitively normal PD and healthy elder controls underwent fMRI while performing a fame-discrimination task, which activates the semantic network. Analyses focused on disturbances in fame-modulated functional connectivity in PD for regions that govern semantic recollection and interrelated processes. Group differences were found in multiple connectivity features, which were reduced into principal components that reflected the strength of fame-modulated regional couplings with other brain areas. Despite the absence of group differences in semantic cognition, two aberrant connectivity patterns were uncovered in PD. One pattern was related to a loss in frontal, parietal, and temporal connection topologies that governed semantic recollection in older controls. Another pattern was characterized by functional reconfiguration, wherein frontal, parietal, temporal and caudate couplings were strengthened with areas that were not recruited by controls. Correlations between principal component scores and cognitive measures suggested that reconfigured frontal coupling topologies in PD supported compensatory routes for accessing semantic content, whereas reconfigured parietal, temporal, and caudate connection topologies were detrimental or unrelated to cognition. Increased tau transcription diminished recruitment of compensatory frontal topologies but amplified recruitment of parietal topologies that were unfavorable for cognition. Collectively, the findings provide a new understanding of early vulnerabilities in the functional architecture of regional connectivity during semantic recollection in cognitively normal PD. The findings also have implications for tracking cognitive progression and selecting patients who stand to benefit from therapeutic interventions.
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BACKGROUND AND AIMS: There is a significant bleeding risk after gastric endoscopic submucosal dissection (ESD) and EMR cases. This case series describes the use of an endoscopic hemostasis spray, which is not typically used to treat this type of bleeding, after multiple attempts with other modalities failed. METHODS: We present 2 patient cases of ESD and EMR used to treat a gastric adenoma (case 1) and 2 gastric hyperplastic masses (case 2) with refractory bleeding after use of multiple other treatment modalities. Both patients were not surgical candidates because of their medical comorbidities. RESULTS: Bleeding was eventually controlled with the use of endoscopic hemostasis spray after attempts were made using SB Knife Jr tip, Coagrasper Hemostatic Forceps, Argon Photocoagulation, and scope tamponade. CONCLUSIONS: In very specific cases, endoscopic hemostasis spray may have some utility for refractory bleeding after dissection of gastric lesions. After using this spray, it became technically challenging to suture endoscopically because of the mud-like quality of the hemostasis material.
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Hirschsprung disease (HD) is a congenital bowel innervation disorder characterized by the absence of ganglion cells in the neural plexus of the colorectal wall. Variant HD describes a heterogeneous group of intestinal innervation disorders in which clinical presentation resembles HD despite the presence of ganglion cells seen in rectal biopsies. We present the first reported case of a rare variant HD, hypoganglionosis isolated in the anorectal canal, diagnosed in an adult who presented with a long history of constipation and treated with proctosigmoidectomy with coloanal anastomosis. Histopathology showed rare ganglion cells isolated in the anorectal canal.
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Emerging evidence suggests mild traumatic brain injury related headache (MTBI-HA) is a form of neuropathic pain state. Previous supraspinal mechanistic studies indicate patients with MTBI-HA demonstrate a dissociative state with diminished levels of supraspinal prefrontal pain modulatory functions and enhanced supraspinal sensory response to pain in comparison to healthy controls. However, the relationship between supraspinal pain modulatory functional deficit and severity of MTBI-HA is largely unknown. Understanding this relationship may provide enhanced levels of insight about MTBI-HA and facilitate the development of treatments. This study assessed pain related supraspinal resting states among MTBI-HA patients with various headache intensity phenotypes with comparisons to controls via functional magnetic resonance imaging (fMRI). Resting state fMRI data was analyzed with self-organizing-group-independent-component-analysis in three MTBI-HA intensity groups (mild, moderate, and severe) and one control group (n = 16 per group) within a pre-defined supraspinal pain network based on prior studies. In the mild-headache group, significant increases in supraspinal function were observed in the right premotor cortex (T = 3.53, p < 0.001) and the left premotor cortex (T = 3.99, p < 0.0001) when compared to the control group. In the moderate-headache group, a significant (T = -3.05, p < 0.01) decrease in resting state activity was observed in the left superior parietal cortex when compared to the mild-headache group. In the severe-headache group, significant decreases in resting state supraspinal activities in the right insula (T = -3.46, p < 0.001), right premotor cortex (T = -3.30, p < 0.01), left premotor cortex (T = -3.84, p < 0.001), and left parietal cortex (T = -3.94, p < 0.0001), and an increase in activity in the right secondary somatosensory cortex (T = 4.05, p < 0.0001) were observed when compared to the moderate-headache group. The results of the study suggest that the increase in MTBI-HA severity may be associated with an imbalance in the supraspinal pain network with decline in supraspinal pain modulatory function and enhancement of sensory/pain decoding.