The Experts below are selected from a list of 87 Experts worldwide ranked by ideXlab platform
Cindy L. Weiner - One of the best experts on this subject based on the ideXlab platform.
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Lateralized brain dysfunction in schizophrenia: a comparison with patients with lateralized structural lesions
Schizophrenia research, 1999Co-Authors: Gerald Goldstein, Daniel N. Allen, Cindy L. WeinerAbstract:Abstract A comparison was made among participants with schizophrenia and those with structural lateralized or diffuse brain damage in order to determine the extent to which the cognitive profile of the schizophrenia sample resembled the profiles obtained from patients with left-hemisphere, right-hemisphere, and diffuse brain damage. The Halstead–Reitan Neuropsychological Battery was used as the testing procedure. The data were subjected to discriminant analysis in order to obtain frequencies of Predicted Classification of the participants with schizophrenia into schizophrenia, left-hemisphere, right-hemisphere, and diffuse groups. Half of the participants with schizophrenia were classified into the schizophrenia group. The other half was evenly distributed across the left-hemisphere, right-hemisphere, and diffuse brain damage groups. There was not a disproportionately large number of participants classified into the left-hemisphere group. Comparisons among these four Predicted groups were accomplished for each of the Halstead–Reitan Battery measures using one-way analysis of variance. The comparison of the subtest scores among the Predicted groups indicated that the patients classified into the left-hemisphere group were characterized by a pattern of language dysfunction thought to be developmental in nature, and an abnormal lack of asymmetry in tapping speed favoring the right hand.
Anna Cyriac - One of the best experts on this subject based on the ideXlab platform.
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neurocognitive predictors of response in treatment resistant depression to subcallosal cingulate gyrus deep brain stimulation
Frontiers in Human Neuroscience, 2017Co-Authors: Shane Mcinerney, Heather E Mcneely, Joseph Geraci, Peter Giacobbe, Sakina J Rizvi, Amanda K Ceniti, Anna CyriacAbstract:BACKGROUND: Deep Brain Stimulation (DBS) is a neurosurgical intervention with demonstrated effectiveness for Treatment Resistant Depression (TRD), but longitudinal studies on the stability of cognitive parameters following treatment are limited. The objectives of this study are to (i) identify baseline cognitive predictors of treatment response to Subcallosal Cingulate Gyrus (SCG) DBS for unipolar TRD and (ii) compare neurocognitive performance prior to and 12 months after DBS implantation. METHODS: Twenty unipolar TRD patients received SCG DBS for 12 months. A standardized neuropsychological battery was used to assess a range of neurocognitive abilities at baseline and after 12 months. Severity of depression was evaluated using the 17 item Hamilton Rating Scale for Depression (HRSD-17). RESULTS: Finger Tap-Dominant Hand Test and total number of errors made on the Wisconsin Card Sorting Test Predicted Classification of patients as treatment responders or non-responders, and were independent of improvement in mood. Change in verbal fluency was the only neuropsychological test that correlated with change in mood from baseline to the follow up period. None of the neuropsychological measures displayed deterioration in cognitive functioning from baseline to repeat testing at 12 months. LIMITATIONS: This was an open label study with a small sample size which limits predictive analysis. Practice effects of the neuropsychological testing could explain the improvement from baseline to follow up on some tasks. Replication using a larger sample of subjects who received neuropsychological testing before and at least 12 months after DBS surgery is required. CONCLUSIONS: These preliminary results (i) suggest that psychomotor speed may be a useful baseline predictor of response to SCG DBS treatment and (ii) support previous suggestions that SCG DBS has no deleterious effects on cognition.
Gerald Goldstein - One of the best experts on this subject based on the ideXlab platform.
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Lateralized brain dysfunction in schizophrenia: a comparison with patients with lateralized structural lesions
Schizophrenia research, 1999Co-Authors: Gerald Goldstein, Daniel N. Allen, Cindy L. WeinerAbstract:Abstract A comparison was made among participants with schizophrenia and those with structural lateralized or diffuse brain damage in order to determine the extent to which the cognitive profile of the schizophrenia sample resembled the profiles obtained from patients with left-hemisphere, right-hemisphere, and diffuse brain damage. The Halstead–Reitan Neuropsychological Battery was used as the testing procedure. The data were subjected to discriminant analysis in order to obtain frequencies of Predicted Classification of the participants with schizophrenia into schizophrenia, left-hemisphere, right-hemisphere, and diffuse groups. Half of the participants with schizophrenia were classified into the schizophrenia group. The other half was evenly distributed across the left-hemisphere, right-hemisphere, and diffuse brain damage groups. There was not a disproportionately large number of participants classified into the left-hemisphere group. Comparisons among these four Predicted groups were accomplished for each of the Halstead–Reitan Battery measures using one-way analysis of variance. The comparison of the subtest scores among the Predicted groups indicated that the patients classified into the left-hemisphere group were characterized by a pattern of language dysfunction thought to be developmental in nature, and an abnormal lack of asymmetry in tapping speed favoring the right hand.
Xueqian Xie - One of the best experts on this subject based on the ideXlab platform.
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Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study.
European radiology, 2019Co-Authors: Yaping Zhang, Niels R. Van Der Werf, Beibei Jiang, Robbert W. Van Hamersvelt, Marcel J. W. Greuter, Xueqian XieAbstract:To classify motion-induced blurred images of calcified coronary plaques so as to correct coronary calcium scores on nontriggered chest CT, using a deep convolutional neural network (CNN) trained by images of motion artifacts. Three artificial coronary arteries containing nine calcified plaques of different densities (high, medium, and low) and sizes (large, medium, and small) were attached to a moving robotic arm. The artificial arteries moving at 0–90 mm/s were scanned to generate nine categories (each from one calcified plaque) of images with motion artifacts. An inception v3 CNN was fine-tuned and validated. Agatston scores of the Predicted Classification by CNN were considered as corrected scores. Variation of Agatston scores on moving plaque and by CNN correction was calculated using the scores at rest as reference. The overall accuracy of CNN Classification was 79.2 ± 6.1% for nine categories. The accuracy was 88.3 ± 4.9%, 75.9 ± 6.4%, and 73.5 ± 5.0% for the high-, medium-, and low-density plaques, respectively. Compared with the Agatston score at rest, the overall median score variation was 37.8% (1st and 3rd quartile, 10.5% and 68.8%) in moving plaques. CNN correction largely decreased the variation to 3.7% (1.9%, 9.1%) (p
Hansmichael Kvasnicka - One of the best experts on this subject based on the ideXlab platform.
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diagnostic differentiation of essential thrombocythaemia from thrombocythaemias associated with chronic idiopathic myelofibrosis by discriminate analysis of bone marrow features a clinicopathological study on 272 patients
Histology and Histopathology, 2003Co-Authors: Jurgen Thiele, Hansmichael KvasnickaAbstract:Until now diagnosis of essential thrombocythaemia (ET) is generally performed by following the criteria of the Polycythaemia Vera Study Group (PVSG) that only marginally regards morphological features. Bone marrow biopsies were studied from 272 patients with ET in strict accordance with the PVSG guidelines and also from 35 control patients with reactive thrombocytosis. To define morphological features of distinctive impact more accurately, we performed a stepwise discriminant analysis of 16 morphological parameters based on histochemical staining reactions and semiquantitative grading of standardized features. A clear-cut separation into three distinctive histological patterns was accomplished that showed in more than 96% a correct Predicted Classification. Variables of significant impact included fibre content, quantity and cytological abnormalities of megakaryopoiesis like bulbous (cloudlike) nuclei, degree of nuclear lobulation and presence of giant forms. These changes were not detectable in the control group. The different constellations of histopathological features could be assigned to true ET (98 patients) and false ET, i.e. 136 patients with prefibrotic and 38 patients with early fibrotic chronic idiopathic myelofibrosis (IMF) accompanied by thrombocythaemia. A re-evaluation of clinical findings was in keeping with this Classification into three categories that exerted significant differences to develop myelofibrosis during observation time and also different survival patterns. Contrasting IMF true ET is characterized by a pronounced proliferation of the megakaryocyte lineage showing large to giant cells without maturation defects and no relevant increase in reticulin fibres. Discrimination between these entities is warranted, because of a significant difference in presenting haematological data, follow-up and life expectancy.