Disrupted Balance of Long- and Short-Range Functional Connectivity Density in Type 2 Diabetes Mellitus: A Resting-State fMRI Study

Previous studies have shown that type 2 diabetes mellitus (T2DM) can accelerate the rate of cognitive decline in patients. As an organ with high energy consumption, the brain network balances between lower energy consumption and higher information transmission efficiency. However, T2DM may modify the proportion of short- and long-range connections to adapt to the inadequate energy supply and to respond to various cognitive tasks under the energy pressure caused by homeostasis alterations in brain glucose metabolism. On the basis of the above theories, this study determined the abnormal functional connections of the brain in 32 T2DM patients compared with 32 healthy control (HC) subjects using long- and short-range functional connectivity density (FCD) analyses with resting-state fMRI data. The cognitive function level in these patients was also evaluated by neuropsychological tests. Moreover, the characteristics of abnormal FCD and their relationships with cognitive impairment were investigated in T2DM patients. Compared with the HC group, T2DM patients exhibited decreased long-range FCD in the left calcarine and left lingual gyrus and increased short-range FCD in the right angular gyrus and medial part of the left superior frontal gyrus (p < 0.05, Gaussian random-field theory corrected). In T2DM patients, the FCD z scores of the medial part of the left superior frontal gyrus were negatively correlated with the time cost in part B of the Trail Making Test (ρ = -0.422, p = 0.018). In addition, the FCD z scores of the right angular gyrus were negatively correlated with the long-term delayed recall scores of the Auditory Verbal Learning Test (ρ = -0.356, p = 0.049) and the forward scores of the Digital Span Test (ρ = -0.373, p = 0.039). T2DM patients exhibited aberrant long-range and short-range FCD patterns, which may suggest brain network reorganization at the expense of losing the integration of long-range FCD to adapt to the deficiency in energy supply. These changes may be associated with cognitive decline in T2DM patients

Comparison of the Differential Diagnostic Performance of Intravoxel Incoherent Motion Imaging and Diffusion Kurtosis Imaging in Malignant and Benign Thyroid Nodules

ObjectiveThis study aimed to compare the diagnostic capacity between IVIM and DKI in differentiating malignant from benign thyroid nodules.Material and MethodsThis study is based on magnetic resonance imaging data of the thyroid with histopathology as the reference standard. Spearman analysis was used to assess the relationship of IVIM-derived parameters D, f, D* and the DKI-derived parameters Dapp and Kapp. The parameters of IVIM and DKI were compared between the malignant and benign groups. Binary logistic regression analysis was performed to establish the diagnostic model, and receiver operating characteristic (ROC) curve analysis was subsequently performed. The DeLong test was used to compare the diagnostic effectiveness of different prediction models. Spearman analysis was used to assess the relationship of Ki-67 expression and parameters of IVIM and DKI.ResultsAmong the 93 nodules, 46 nodules were malignant, and 47 nodules were benign. The Dapp of DKI-derived parameter was related to the D (P < 0.001, r = 0.863) of IVIM-derived parameter. The Kapp of DKI-derived parameter was related to the D (P < 0.001, r = -0.831) of IVIM-derived parameters. The malignant group had a significantly lower D value (P < 0.001) and f value (P = 0.013) than the benign group. The malignant group had significantly higher Kapp and lower Dapp values (all P < 0.001). The D+f had an area under the curve (AUC) of 0.951. The Dapp+Kapp had an AUC of 0.943. The D+f+Dapp+Kapp had an AUC of 0.954. The DeLong test showed no statistical significance among there prediction models. The D (P = 0.007) of IVIM-derived parameters and Dapp (P = 0.045) of DKI-derived parameter were correlated to the Ki-67 expression.ConclusionsIVIM and DKI were alternative for each other in in differentiating malignant from benign thyroid nodules

Altered Functional Connectivity Density in Subtypes of Parkinson’s Disease

Parkinson’s disease (PD) can be classified into tremor-dominant and akinetic-rigid subtypes, each of which exhibits a unique clinical course and prognosis. The neural basis for these disparate manifestations is not well-understood, however. This study comprehensively investigated the altered functional connectivity patterns of these two subtypes. Twenty-five tremor-dominant patients, 25 akinetic-rigid patients and 26 normal control subjects participated in this study. Resting-state functional MRI data were analyzed using functional connectivity density (FCD) and seed-based functional connectivity approaches. Correlations between neuroimaging measures and clinical variables were also calculated. Compared with normal control, increased global FCD occurred most extensively in frontal lobe and cerebellum in both subtypes. Compared with akinetic-rigid patients, the tremor-dominant patients showed significantly increased global FCD in the cerebellum and decreased global FCD in portions of the bilateral frontal lobe. Furthermore, different subtypes demonstrated different cerebello-cortical functional connectivity patterns. Moreover, the identified FCD and functional connectivity correlated significantly with clinical variables in the PD patients, and particularly the FCD indices distinguished the different subtypes with high sensitivity (95%) and specificity (80%). These findings indicate that the functional connectivity patterns in the cerebellum and frontal lobe are altered in both subtypes of PD, especially cerebellum are highly related to tremor

A makro-TSH diagnosztikus és terápiás jelentősége Hashimoto-thyreoiditises betegekben | Diagnostic and therapeutical significance of macro-TSH in patients with Hashimoto’s thyroiditis

Absztrakt: Bevezetés: A makro-TSH szerkezete, incidenciája és klinikai szerepe pajzsmirigybetegekben nem tisztázott. Célkitűzés: A makro-TSH előfordulási gyakoriságának, tulajdonságainak meghatározása Hashimoto-thyreoiditises betegek savójában. Módszer: A Hashimoto-thyreoiditises betegek vérmintáiban a makro-TSH-t meghatározták polietilén-glikol precipitációs módszerrel és protein G agaróz abszorpciós, illetve gélfiltrációs kromatográfiával. A makro-TSH biológiai aktivitását TSH-receptorral transzfektált CHO bioassay módszerével mérték. A betegek L-tiroxin-kezelésben részesültek (átlagosan 66,5 µg/nap), a betegek fele pedig szelént is kapott (átlagosan 60 µg/nap). Eredmények: 880 Hashimoto-thyreoiditises beteget (728 nő, átlagéletkor 44,8 év) vontak be a vizsgálatba. A makro-TSH-t 41 betegben (4,6%) mutatták ki, az átlagos TSH-szint a PEG-precipitáció előtt 185,4 ± 35 IU/l volt, a precipitáció után pedig 5,55 ± 1,8 IU/l. Az anti-TPO-szint 445 ± 51 IU/l volt és fokozatosan csökkent 212 ± 51 IU/l-re egyéves tiroxin- és szelénkezelés után. Mind a PEG-precipitációs, mind a protein G abszorpciós módszerrel, illetve gélkromatográfiás eljárással a TSH elleni antitest jelenlétét mutatták ki a makro-TSH-immunkomplexben. A makro-TSH biológialag inaktívnak bizonyult, mivel a CHO-sejteket nem stimulálta. A makro-TSH a szelénnel nem kezelt csoportban 18 ± 3,2 hónapig, a szelénnel kezeltben 12 ± 1,9 hónapig volt kimutatható. Következtetés: A TSH elleni antitestek fő komponensei a makro-TSH-nak és diagnosztikus, illetve terápiás nehézségeket okozhatnak. A PEG-precipitációs eljárás alkalmas szűrőmódszer a makro-TSH bizonyítására. A szelén képes nemcsak az anti-TPO-, hanem a makro-TSH-szint csökkentésére egyaránt. Amikor a TSH-szint 40,0 IU/l feletti a hypothyreosis jelei nélkül, gondolnunk kell a makro-TSH jelenlétére. Orv Hetil. 2017; 158(34): 1346–1350. | Abstract: Introduction: Structure, importance and incidence and clinical role of macro-TSH not clarified in thyroid diseases. Aim: This study was undertaken to determine the incidence and biological role of macro-TSH in patients with Hashimoto’s thyroiditis. Method: Blood samples taken from patients with Hashimoto’s thyroiditis were screened for the presence of macro-TSH with the polyethylene glycol method and confirmed with protein G agarose absorption test and gel filtration chromatography. Stimulatory capacity of macro-TSH was measured by CHO cells bio-assay. Patients were treated with L-thyroxine (mean 66.5 µg/day) and half of them with selenium (mean 60 µg/day), respectively. Results: 880 patients (728 female, aged 44.8 yr) with Hashimoto’s thyroiditis was involved in the study. Macro-TSH was found in the serum of 41 patients (4.6%), the mean TSH 185.4 ± 35 IU/l was before PEG precipitations and after 5.55 ± 1.8 IU/l. Titre of anti-TPO proved to be 445 ± 51 IU/l and gradulally decreased to 212 ± 51 IU/l after one year therapy. Both the precipitation, protein G absorption and gel chromatography supported the presence of anti-TSH antibody in the macro-TSH complex. Stimulatory capacity of macro-TSH on CHO bio-assay was not proved. The macro-TSH was detected in the selenium not treated group for 18 ± 3.2 months, selenium-treated for 12 ± 1.9 months. Conclusion: It is concluded that anti-human TSH autoantibodies are a major components of macro-TSH and may cause diagnostic and therapeutical difficulties. The PEG precipitation is a suitable screening method for detection of macro-TSH. Selenium is able to decrease of anti-TPO antibodies and macro-TSH, respectively. When the TSH level is greater than 40.0 IU/l, without the signs of hypothyroidism, the presence of macro-TSH is to be considered. Orv Hetil. 2017; 158(34): 1346–1350

Biochar for Sustainable Farming and Recultivation

Food shortage is a severe problem, with an estimated 720 to 811 million people globally facing hunger in 2020, as reported by the FAO [...

parkinson's disease

<p>This is the MRI datasets.</p

parkinson

<p>PD</p

Functional connectivity–based prediction of global cognition and motor function in riluzole-naive amyotrophic lateral sclerosis patients

Amyotrophic lateral sclerosis (ALS) is increasingly recognized as a multisystem disorder accompanied by cognitive changes. To date, no effective therapy is available for ALS patients, partly due to disease heterogeneity and an imperfect understanding of the underlying pathophysiological processes. Reliable models that can predict cognitive and motor deficits are needed to improve symptomatic treatment and slow down disease progression. This study aimed to identify individualized functional connectivity-based predictors of cognitive and motor function in ALS by using multiple kernel learning (MKL) regression. Resting-state fMRI scanning was performed on 34 riluzole-naive ALS patients. Motor severity and global cognition were separately measured with the revised ALS functional rating scale (ALSFRS-R) and the Montreal Cognitive Assessment (MoCA). Our results showed that functional connectivity within the default mode network (DMN) as well as between the DMN and the sensorimotor network (SMN), fronto-parietal network (FPN), and salience network (SN) were predictive for MoCA scores. Additionally, the observed connectivity patterns were also predictive for the individual ALSFRS-R scores. Our findings demonstrate that cognitive and motor impairments may share common connectivity fingerprints in ALS patients. Furthermore, the identified brain connectivity signatures may serve as novel targets for effective disease-modifying therapies. Author Summary Amyotrophic lateral sclerosis is recognized as a multisystem disorder, and currently no effective therapy is available for this devastating disease. Reliable models that can predict disease progression may facilitate the development of more efficient symptomatic treatment. This study used multiple kernel learning algorithm to identify a potential functional connectivity-based marker for cognitive and motor functioning in ALS. The results show that cognitive decline and motor progression could be predicted by seed-based functional connectivity from the medial prefrontal cortex/posterior cingulate cortex to the sensorimotor network, fronto-parietal network, and salience network. The identified brain connectivity signatures may serve as novel targets for effective disease-modifying therapies