Behavioural and neurophysiological differences in working memory function of depressed patients and healthy controls

Nikolin, Stevan; Tan, Yi Yin; Martin, Donel; Moffa, Adriano H.; Loo, Colleen; Boonstra, Tjeerd W.

doi:10.1016/j.jad.2021.08.083

Cited by 14 publications

(11 citation statements)

References 124 publications

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“…We also found that depressive symptoms were significantly negatively correlated with the correct rate of completion of the working memory task, but not with the response time of completing the working memory task, which is inconsistent with the results of previous studies[ 17 , 48 ], which may be due to the difference in task paradigms, as previous studies of working memory used both the 1-back and 2-back working memory tasks, whereas the present study used only the 2-back task. This result may be due to the difference in task paradigms, as the 1-back task is simpler for college students, and a “ceiling effect” may occur[ 49 ].…”

Section: Discussioncontrasting

confidence: 99%

“…, pleasure deficit) are highly correlated with impairment of working memory[ 8 , 10 - 12 ]. Related brain imaging studies have found that depressed individuals show greater activation in the cingulate cortex and prefrontal lobe when completing N -back tasks compared to healthy individuals[ 13 - 17 ], suggesting that to achieve the same level of performance on working memory tasks as healthy individuals, depressed individuals need to mobilize more cognitive resources and exert greater cognitive effort. Comparisons were made between depressed and non-depressed college students on a working memory task, and it was found that the correct rate of depressed subjects was lower than that of healthy subjects, and the reaction time was higher than that of healthy subjects, both of which were statistically significant[ 18 ].…”

Section: Introductionmentioning

confidence: 99%

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Relationship between physical activity and specific working memory indicators of depressive symptoms in university students

Zhao,

Wang,

et al. 2024

World J Psychiatry

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BACKGROUND The detection rate of depression among university students has been increasing in recent years, becoming one of the main psychological diseases that endangers their physical and mental health. According to statistics, self-harm and suicide, for which there is no effective intervention, are the second leading causes of death. AIM To explore the relationship between different elements and levels of physical activity and college students’ depression-symptom-specific working memory indicators. METHODS Of 143 college students were analyzed using the Beck Depression Self-Rating Scale, the Physical Activity Rating Scale, and the Working Memory Task. RESULTS There was a significant difference between college students with depressive symptoms and healthy college students in completing verbal and spatial working memory (SWM) tasks correctly (all P < 0.01). Physical Activity Scale-3 scores were significantly and positively correlated with the correct rate of the verbal working memory task (r = 0.166) and the correct rate of the SWM task (r = 0.210) (all P < 0.05). There were significant differences in the correct rates of verbal and SWM tasks according to different exercise intensities (all P < 0.05) and different exercise durations (all P < 0.05), and no significant differences in the correct rates of verbal and SWM tasks by exercise frequency (all P > 0.05). CONCLUSION An increase in physical exercise among college students, particularly medium- and high-intensity exercise and exercise of 30 min or more, can improve the correct rate of completing working memory tasks.

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Section: Discussioncontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Relationship between physical activity and specific working memory indicators of depressive symptoms in university students

Zhao,

Wang,

et al. 2024

World J Psychiatry

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“…We found 38 studies that presented results for a concomitant occurrence of P300 and alpha power (or amplitude). In 17 studies using EEG, results indicated an overlap in cortical regions of P300 and alpha amplitude decrease, as well as a similar time windows of their occurrence (Peng et al, 2012, Chen et al, 2013, Dong et al, 2015, Shou et al, 2015, Tang et al, 2015, Wu et al, 2015, Fabi et al, 2017, López-Caneda et al, 2017, Vilà-Balló et al, 2017, Fabi et al, 2018, Michelini et al, 2018, Román-López et al, 2019, Kao et al, 2020, Yu et al, 2020, Zhang et al, 2020, Nikolin et al, 2021, Paolicelli et al, 2021). Similar observations were made using MEG (Ishii et al, 2009).…”

Section: Introductionmentioning

confidence: 86%

Event-related modulation of alpha rhythm explains the auditory P300 evoked response in EEG

Studenova

Forster

Engemann

et al. 2023

Preprint

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Evoked responses and ongoing oscillations represent two major electrophysiological phenomena in the human brain yet the link between them remains rather obscure. Here we show how these two types of brain activity can be mechanistically linked within the framework of the baseline-shift mechanism for the generation of evoked responses. We do so for the two most frequently studied EEG signals: the P300-evoked response and alpha oscillations (8-12 Hz). The baseline-shift mechanism states that oscillations may generate evoked responses if oscillations have a non-zero mean and their amplitude is modulated by the stimulus. Therefore, if the alpha amplitude modulation generates P300, the following predictions should hold: 1) the temporal evolution of P300 and alpha amplitude is similar, 2) spatial localisations of the P300 and alpha amplitude modulation overlap, 3) oscillations are non-zero mean with a sign of the mean being congruent to P300 polarity and direction of alpha amplitude change, 4) P300 and alpha amplitude modulation correlate with cognitive scores in a similar fashion. To fully and reliably validate these predictions, we analysed the data set of elderly participants (N=2230, 60-82 years old), using a) resting-state EEG recordings to compute the baseline-shift index (BSI) to quantify the mean of oscillations, b) the event-related data, to extract parameters of P300 and c) alpha rhythm amplitude envelope. The data was analysed both in sensor and source space. We showed that P300 is indeed linked to alpha amplitude modulation according to all four abovementioned predictions: 1) the time courses of P300 and alpha amplitude envelope correlate negatively; 2) both P300 and alpha rhythm spatially localised in the posterior region of the precuneus and posterior cingulate cortex; 3) the sign of the BSI at Pz electrode is predominantly negative, consistent with the positive polarity of P300 and decrease of alpha amplitude; moreover, a negative BSIs of higher magnitude corresponded to higher P300 amplitude; 4) attention, memory, and executive function scores have congruent correlations for P300 and alpha rhythm amplitude. Our results provide an unifying view on the interdependency of evoked responses and neuronal oscillations and suggest that P300, at least partly, is generated by the modulation of alpha oscillations. Therefore, changes in P300 related to different cognitive conditions, age, or neuropathologies should be interpreted by taking into account the spatio-temporal dynamics of neuronal oscillations.

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“…MDD is associated with deficits in WM. Individuals with depression dedicate a higher level of cognitive processing and more cognitive resources to achieve WM performance comparable with that of healthy individuals (Nikolin, Tan, Martin, et al, 2021). Furthermore, it is difficult for individuals with depression to inhibit and update negative information in WM (Joormann et al, 2011).…”

Section: The Function Of the Ce In Depressive Disordersmentioning

confidence: 99%

Working memory function in patients with major depression disorder: A narrative review

Chen

Wang

2022

Clin Psychology and Psychoth

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Working memory (WM) deficits are recognized as serious cognitive impairment in patients with major depressive disorder (MDD). This review aims to clarify the effects of impaired WM function in patients with MDD and explore non‐invasive and effective treatments that can be adopted in clinical practice. This review (1) synthesizes extant literature examining brain function and brain areas in terms of WM in individuals with depression, (2) utilizes the outcomes of the studies presented in this review to discuss the effects of impaired WM function on cognitive processing in individuals with depression, (3) integrates the treatments explored in current studies and (4) provides some suggestions for future research. We found that (1) central executive (CE) components affect the processing of WM, and this might be one of the factors influencing cognitive biases, as it is implicated in repetitive negative thinking and rumination; (2) the left dorsal anterior cingulate cortex (dACC), the left dorsolateral prefrontal cortex (DLPFC) and the regions of the default mode network (DMN) play a vital role in CE functioning; and (3) psychotherapy, cognitive training, exercise and physical therapy can be used as complementary treatments for MDD.

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Behavioural and neurophysiological differences in working memory function of depressed patients and healthy controls

Cited by 14 publications

References 124 publications

Relationship between physical activity and specific working memory indicators of depressive symptoms in university students

Relationship between physical activity and specific working memory indicators of depressive symptoms in university students

Event-related modulation of alpha rhythm explains the auditory P300 evoked response in EEG

Working memory function in patients with major depression disorder: A narrative review

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