Objective To identify regional cerebral blood flow (rCBF) differences between individuals with DS... more Objective To identify regional cerebral blood flow (rCBF) differences between individuals with DSM-IV diagnosis of Cluster B Personality Disorders (PDB) and healthy controls. Method Healthy controls (n = 81, Mage = 41.9, 53.0% female, 42.0% Caucasian) and persons diagnosed by psychiatric examination with PDB (n=, Mage = 34.12, 71.5% female, 69.8% Caucasian) were selected from a deidentified adult clinical outpatient database. Those with comorbid diagnoses were included. Significant differences (alpha = 0.005) were found for age [t(195) = −3.62], gender [χ2(2) = 7.1], and race [χ2(12) = 23.82] between groups. Mean age [t(523) = 2.09, p = 0.037) and gender [t(532) = −2.653, p = 0.008] different significantly between groups. No significant mean difference was found for education [t(523) = 0.832, p = 0.406]. Results Significant rCBF differences were noted in the cerebellum [left:F(1,192) = 10.5; right:F(1,192) = 4.6], limbic system [left:F(1,192) = 7.8; right:F(1,192) = 5.0], and basal ...
To determine the extent to which memory can predict reading abilities after controlling for gende... more To determine the extent to which memory can predict reading abilities after controlling for gender, age, and education. The participants were drawn from a de-identified adult clinical database. Two hierarchical multiple regressions (n = 246, Mage = 33.5, Medu = 13.8, 56% Caucasian, 58% Female) tested the ability of the Wechsler Adult Intelligence Scale Fourth Edition (WAIS-IV) Working Memory Index (WMI) Score, and the Weschler Memory Scale Fourth Edition (WMS-IV) Visual Working Memory Index (VWMI) Score to predict reading abilities on the Nelson Denny Reading Test (NDRT) Vocabulary and Comprehension Standard Scores after controlling for the effects of gender, age, and education. In both regressions, gender, age, and education were entered in step 1 and WMI and VWMI were entered in step 2. In analysis of Vocabulary, step 1 explained 8% of variance; after step 2 the model explained 21% of variance F (5, 240) =12.98, p < 0.001. WMI and VWMI scores explained 12% of variance after con...
Objective To see how strongly performance on a computerized visual digit span task correlates wit... more Objective To see how strongly performance on a computerized visual digit span task correlates with non-computerized digit span subtests. Method The data were chosen from a de-identified database. Undiagnosed adult volunteers (n = 105) took the WAIS-IV Digit Span and TMB Digit Span subtests. Demographic characteristics were as follows: Age (M = 28.5, SD = 11.2), education (M = 16.2, SD = 1.9), gender (60% Female), race (69.8% White). A Pearson correlation was run on the TMB and WAIS-IV longest digit span forward (ldsf) and longest digit span backward (ldsb) raw scores of the same individuals. Results Results suggest a moderate correlation between WAIS-IV ldsf (M = 7.14, SD = 1.31) and TMB (M = 6.90, SD = 1.29) ldsf raw scores, r = 0.45, p > 0.01. Moreover, results indicated a moderate correlation between WAIS-IV ldsb (M = 7.69, SD = 1.43) and TMB (M = 5.66, SD = 1.81) ldsb raw scores, r = 0.38, p > 0.01. 73.1% of participants had the same or were within one digit on ldsf scores...
Objective To investigate the effects of Type 2 Diabetes (T2D) on performance on attention and exe... more Objective To investigate the effects of Type 2 Diabetes (T2D) on performance on attention and executive function measures in a sample of MCI patients. Method Individuals with a clinician diagnosis of MCI with T2D and [n = 719,Mage = 75.24,50.3% female] and MCI persons without T2D [n = 719,Mage = 75.21,47.1% female] were selected from the Alzheimer’s Disease Research Centers database by the National Institute on Aging. Those with motor disturbances were excluded from the analysis. Significant differences (p < 0.001) were found for race and education between groups. Results Multiple ANCOVAs controlled for gender, education, age, and race on performance. Significant differences (p < 0.001) were found in performance on the Trail Making Test [A, B], Digit Span forward [longest recall, correct trials], Digit Span backward [longest recall, correct trials], and Verbal Fluency tasks [F word, L words]. No significant differences were found in the animal and vegetable naming fluency task...
Objective To identify regional cerebral blood flow (rCBF) differences between individuals with DS... more Objective To identify regional cerebral blood flow (rCBF) differences between individuals with DSM-IV diagnosis of Cluster B Personality Disorders (PDB) and healthy controls. Method Healthy controls (n = 81, Mage = 41.9, 53.0% female, 42.0% Caucasian) and persons diagnosed by psychiatric examination with PDB (n=, Mage = 34.12, 71.5% female, 69.8% Caucasian) were selected from a deidentified adult clinical outpatient database. Those with comorbid diagnoses were included. Significant differences (alpha = 0.005) were found for age [t(195) = −3.62], gender [χ2(2) = 7.1], and race [χ2(12) = 23.82] between groups. Mean age [t(523) = 2.09, p = 0.037) and gender [t(532) = −2.653, p = 0.008] different significantly between groups. No significant mean difference was found for education [t(523) = 0.832, p = 0.406]. Results Significant rCBF differences were noted in the cerebellum [left:F(1,192) = 10.5; right:F(1,192) = 4.6], limbic system [left:F(1,192) = 7.8; right:F(1,192) = 5.0], and basal ...
To determine the extent to which memory can predict reading abilities after controlling for gende... more To determine the extent to which memory can predict reading abilities after controlling for gender, age, and education. The participants were drawn from a de-identified adult clinical database. Two hierarchical multiple regressions (n = 246, Mage = 33.5, Medu = 13.8, 56% Caucasian, 58% Female) tested the ability of the Wechsler Adult Intelligence Scale Fourth Edition (WAIS-IV) Working Memory Index (WMI) Score, and the Weschler Memory Scale Fourth Edition (WMS-IV) Visual Working Memory Index (VWMI) Score to predict reading abilities on the Nelson Denny Reading Test (NDRT) Vocabulary and Comprehension Standard Scores after controlling for the effects of gender, age, and education. In both regressions, gender, age, and education were entered in step 1 and WMI and VWMI were entered in step 2. In analysis of Vocabulary, step 1 explained 8% of variance; after step 2 the model explained 21% of variance F (5, 240) =12.98, p < 0.001. WMI and VWMI scores explained 12% of variance after con...
Objective To see how strongly performance on a computerized visual digit span task correlates wit... more Objective To see how strongly performance on a computerized visual digit span task correlates with non-computerized digit span subtests. Method The data were chosen from a de-identified database. Undiagnosed adult volunteers (n = 105) took the WAIS-IV Digit Span and TMB Digit Span subtests. Demographic characteristics were as follows: Age (M = 28.5, SD = 11.2), education (M = 16.2, SD = 1.9), gender (60% Female), race (69.8% White). A Pearson correlation was run on the TMB and WAIS-IV longest digit span forward (ldsf) and longest digit span backward (ldsb) raw scores of the same individuals. Results Results suggest a moderate correlation between WAIS-IV ldsf (M = 7.14, SD = 1.31) and TMB (M = 6.90, SD = 1.29) ldsf raw scores, r = 0.45, p > 0.01. Moreover, results indicated a moderate correlation between WAIS-IV ldsb (M = 7.69, SD = 1.43) and TMB (M = 5.66, SD = 1.81) ldsb raw scores, r = 0.38, p > 0.01. 73.1% of participants had the same or were within one digit on ldsf scores...
Objective To investigate the effects of Type 2 Diabetes (T2D) on performance on attention and exe... more Objective To investigate the effects of Type 2 Diabetes (T2D) on performance on attention and executive function measures in a sample of MCI patients. Method Individuals with a clinician diagnosis of MCI with T2D and [n = 719,Mage = 75.24,50.3% female] and MCI persons without T2D [n = 719,Mage = 75.21,47.1% female] were selected from the Alzheimer’s Disease Research Centers database by the National Institute on Aging. Those with motor disturbances were excluded from the analysis. Significant differences (p < 0.001) were found for race and education between groups. Results Multiple ANCOVAs controlled for gender, education, age, and race on performance. Significant differences (p < 0.001) were found in performance on the Trail Making Test [A, B], Digit Span forward [longest recall, correct trials], Digit Span backward [longest recall, correct trials], and Verbal Fluency tasks [F word, L words]. No significant differences were found in the animal and vegetable naming fluency task...
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