scholarly journals Differences in verbal and spatial working memory in patients with bipolar II and unipolar depression: an MSI study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhinan Li ◽  
Junhao Chen ◽  
Yigang Feng ◽  
Shuming Zhong ◽  
Shui Tian ◽  
...  
Keyword(s):  
Working Memory ◽  
Spatial Working Memory ◽  
Pearson Correlation ◽  
Neural Mechanism ◽  
Unipolar Depression ◽  
Source Imaging ◽  
Magnetic Source Imaging ◽  
Unipolar Disorder ◽  
Bipolar Ii ◽  
The Difference

Abstract Background Depressive symptoms could be similarly expressed in bipolar and unipolar disorder. However, changes in cognition and brain networks might be quite distinct. We aimed to find out the difference in the neural mechanism of impaired working memory in patients with bipolar and unipolar disorder. Method According to diagnostic criteria of bipolar II disorder of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and assessments, 13 bipolar II depression (BP II), 8 unipolar depression (UD) patients and 15 healthy controls (HC) were recruited in the study. We used 2-back tasks and magnetic source imaging (MSI) to test working memory functions and get the brain reactions of the participants. Results Compared with HC, only spatial working memory tasks accuracy was significantly worse in both UD and BP II (p = 0.001). Pearson correlation showed that the stronger the FCs’ strength of MFG-IPL and IPL-preSMA, the higher accuracy of SWM task within left FPN in patients with UD (r = 0.860, p = 0.006; r = 0.752, p = 0.031). However, the FC strength of IFG-IPL was negatively correlated with the accuracy of SWM task within left FPN in patients with BP II (r = − 0.591, p = 0.033). Conclusions Our study showed that the spatial working memory of patients with whether UD or BP II was impaired. The patterns of FCs within these two groups of patients were different when performing working memory tasks.

scholarly journals The INECO Frontal Screening tool differentiates behavioral variant - frontotemporal dementia (bv-FTD) from major depression

2013 ◽  
Vol 7 (1) ◽  
pp. 33-39 ◽  
Author(s):  
Natalia Fiorentino ◽  
Ezequiel Gleichgerrcht ◽  
María Roca ◽  
Marcelo Cetkovich ◽  
Facundo Manes ◽  
...  
Keyword(s):  
Working Memory ◽  
Differential Diagnosis ◽  
Major Depression ◽  
Inhibitory Control ◽  
Spatial Working Memory ◽  
Unipolar Depression ◽  
Executive Dysfunction ◽  
Verbal Working Memory ◽  
Control Group ◽  
Clinical Conditions

ABSTRACT Executive dysfunction may result from prefrontal circuitry involvement occurring in both neurodegenerative diseases and psychiatric disorders. Moreover, multiple neuropsychiatric conditions, may present with overlapping behavioral and cognitive symptoms, making differential diagnosis challenging, especially during earlier stages. In this sense, cognitive assessment may contribute to the differential diagnosis by providing an objective and quantifiable set of measures that has the potential to distinguish clinical conditions otherwise perceived in everyday clinical settings as quite similar. Objective: The goal of this study was to investigate the utility of the INECO Frontal Screening (IFS) for differentiating bv-FTD patients from patients with Major Depression. Methods: We studied 49 patients with bv-FTD diagnosis and 30 patients diagnosed with unipolar depression compared to a control group of 26 healthy controls using the INECO Frontal Screening (IFS), the Mini Mental State Examination (MMSE) and the Addenbrooke's Cognitive Examination-Revised (ACE-R). Results: Patient groups differed significantly on the motor inhibitory control (U=437.0, p<0.01), verbal working memory (U=298.0, p<0.001), spatial working memory (U=300.5, p<0.001), proverbs (U=341.5, p<0.001) and verbal inhibitory control (U=316.0, p<0.001) subtests, with bv-FTD patients scoring significantly lower than patients with depression. Conclusion: Our results suggest the IFS can be considered a useful tool for detecting executive dysfunction in both depression and bv-FTD patients and, perhaps more importantly, that it has the potential to help differentiate these two conditions.

P01-208-Prevalence of hypomania in patients with diagnosis of affective disorder

2011 ◽  
Vol 26 (S2) ◽  
pp. 209-209
Author(s):  
I. Garcia Del Castillo ◽  
L. Fernandez Mayo ◽  
R. Carmona Camacho ◽  
M.J. Martin Calvo ◽  
E. Serrano Drozdowskyj ◽  
...  
Keyword(s):  
High Sensitivity ◽  
Unipolar Depression ◽  
Epidemiological Studies ◽  
Self Report ◽  
Future Research ◽  
Control Group ◽  
Bipolar Ii Disorder ◽  
Bipolar Ii ◽  
Dsm Iv ◽  
The Difference

IntroductionRecent epidemiological studies suggest that the prevalence of bipolar disorder might be misdiagnosed initially as unipolar depression due to the difficulty to detect episodes of hypomania. The Hypomania Checklist (HCL-32), validated in Spanish, is a self-report questionnaire with 32 hypomania items designed to screen for hypomanic episodes.ObjectivesTo examine the prevalence of hypomania in patients with unipolar depression. Corroborate the efficacy of the HCL-32 to detect symptoms of hypomania.MethodsThe presence of hypomanic symptoms was assessed by the HCL-32 in a sample of 128 subjects diagnosed with bipolar I disorder (n = 30), bipolar II disorder (n = 1), unipolar depression (n = 57), and anxiety disorder (n = 15) according to DSM-IV-TR criteria. A control group of healthy subjects was selected (n = 25).ResultsThe discriminative capacity was analyzed by the ROC curve. The AUC was 0.65 which did not indicate a good capacity. The sensitivity (S), specificity (E) and prevalence (P) of hypomania in unipolar patients for the following cut-off points were :14: S = 81.6%,95%CI(69.8, 93.5); E = 30.1%,95%CI(19.7,40.6); P = 74.1%; 15: S = 77.6%,95%CI(64.9,90.3); E = 37.4%,95%CI(26.3,48.4); P = 67.2%; 16: S = 59.2%,95%CI(44.4,73.9); E = 55.4%,95%CI(44.1,74.0); P = 51.7%; 17: S = 55.1%,95%CI(40.2,70.1); E = 57.8%,95%CI(46.6,69.1); P = 48.3%.ConclusionsThe HCL-32 has a high sensitivity but a low specificity as screening instrument. This might explain the high proportion of hypomania found in this study. The difference with previous studies is that our sample was heterogeneous, unstable and serious. This suggests that the HCL-32 is not valid for any psychiatric sample. Future research should develop more specific instruments with better external validity.

Working Memory and Number Sense as Predictors of Mathematical (Dis-)Ability

2015 ◽  
Vol 223 (2) ◽  
pp. 102-109 ◽  
Author(s):  
Evelyn H. Kroesbergen ◽  
Marloes van Dijk
Keyword(s):  
Working Memory ◽  
Learning Disabilities ◽  
Spatial Working Memory ◽  
Number Sense ◽  
Mathematical Learning ◽  
Visual Spatial ◽  
Mathematical Learning Disabilities ◽  
Visual Spatial Working Memory ◽  
And Mathematics

Recent research has pointed to two possible causes of mathematical (dis-)ability: working memory and number sense, although only few studies have compared the relations between working memory and mathematics and between number sense and mathematics. In this study, both constructs were studied in relation to mathematics in general, and to mathematical learning disabilities (MLD) in particular. The sample consisted of 154 children aged between 6 and 10 years, including 26 children with MLD. Children performing low on either number sense or visual-spatial working memory scored lower on math tests than children without such a weakness. Children with a double weakness scored the lowest. These results confirm the important role of both visual-spatial working memory and number sense in mathematical development.

Glucose Effects on Spatial Working Memory are Dose and Delay Specific

1999 ◽  
Author(s):  
Jarod N. Wright ◽  
Clint D. Walker ◽  
Russell E. Morgan
Keyword(s):  
Working Memory ◽  
Spatial Working Memory ◽  
Glucose Effects

Spatial Working Memory Deficit in Autism

2003 ◽  
Author(s):  
Shelly D. Steele ◽  
Nancy J. Minshew ◽  
Bea Luna ◽  
John A. Sweeney
Keyword(s):  
Working Memory ◽  
Spatial Working Memory ◽  
Memory Deficit
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