Brain Networks Communicate Through Theta Oscillations to Encode High Load in a Visuospatial Working Memory Task: An EEG Connectivity Study

2019 ◽  
Vol 33 (1) ◽  
pp. 75-85 ◽  
Author(s):  
Suriya Prakash Muthukrishnan ◽  
Sunaina Soni ◽  
Ratna Sharma
2011 ◽  
Vol 64 (11) ◽  
pp. 2168-2180 ◽  
Author(s):  
Joanna L. Brooks ◽  
Robert H. Logie ◽  
Robert McIntosh ◽  
Sergio Della Sala

Two experiments explored lateralized biases in mental representations of matrix patterns formed from aural verbal descriptions. Healthy participants listened, either monaurally or binaurally, to verbal descriptions of 6 by 3 matrix patterns and were asked to form a mental representation of each pattern. In Experiment 1, participants were asked to judge which half of the matrix, left or right, contained more filled cells and to rate the certainty of their judgement. Participants tended to judge that the left side was fuller than the right and showed significantly greater certainty when judging patterns that were fuller on the left. This tendency was particularly strong for left-ear presentation. In Experiment 2, participants conducted the same task as that in Experiment 1 but were also asked to recall the pattern for the side judged as fuller. Participants were again more certain in judging patterns that were fuller on the left—particularly for left-ear presentation—but were no more accurate in remembering the details from the left. These results suggest that the left side of the mental representation was represented more saliently but it was not remembered more accurately. We refer to this lateralized bias as “representational pseudoneglect”. Results are discussed in terms of theories of visuospatial working memory.


2011 ◽  
Vol 23 (1) ◽  
pp. 52-59 ◽  
Author(s):  
Felicia Fiore ◽  
Erika Borella ◽  
Irene C. Mammarella ◽  
Cesare Cornoldi

Neuroscience ◽  
2014 ◽  
Vol 262 ◽  
pp. 92-106 ◽  
Author(s):  
Y. Zhao ◽  
D. Tang ◽  
L. Hu ◽  
L. Zhang ◽  
G. Hitchman ◽  
...  

2018 ◽  
Author(s):  
Maria V. Soloveva ◽  
Sharna D. Jamadar ◽  
Dennis Velakoulis ◽  
Govinda Poudel ◽  
Nellie Georgiou Karistianis

AbstractPresymptomatic Huntington’s disease (pre-HD) individuals tend to increase functional brain activity to compensate for HD-related brain anomalies. We used a quantitative model of compensation, known as the CRUNCH (Compensation-Related Utilization of Neural Circuits Hypothesis) to explicitly characterise compensation in pre-HD. We acquired functionalmagnetic resonance imaging (fMRI) data (n = 15 pre-HD; n = 15 controls) during performance of an 18-minute fMRI visuospatial working memory task with low, intermediate-1, intermediate-2, and high memory loads. Consistent with the CRUNCH prediction, pre-HD individuals showed decreased fMRI activity in left intraparietal sulcus at high memory load, compared to healthy controls who showed increased fMRI activity in left intraparietal sulcus at high memory load. Contrary to the other CRUNCH prediction, the pre-HD group did not show compensatory increase in fMRI activity at lower levels of memory loads in left intraparietal sulcus. Our findings provide partial support for the validity of CRUNCH in pre-HD.HighlightsVisuospatial working memory deficits in pre-HD occur 25 years prior to predicted disease onsetTask demands differentially affect fMRI activity in left intraparietal sulcusCRUNCH can partially apply in Huntington’s disease


PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0201486 ◽  
Author(s):  
Joseph M. Baker ◽  
Jennifer L. Bruno ◽  
Andrew Gundran ◽  
S. M. Hadi Hosseini ◽  
Allan L. Reiss

2001 ◽  
Vol 21 (9) ◽  
pp. 3175-3183 ◽  
Author(s):  
Sridhar Raghavachari ◽  
Michael J. Kahana ◽  
Daniel S. Rizzuto ◽  
Jeremy B. Caplan ◽  
Matthew P. Kirschen ◽  
...  

2015 ◽  
Vol 27 (3) ◽  
pp. 453-463 ◽  
Author(s):  
Satoe Ichihara-Takeda ◽  
Shogo Yazawa ◽  
Takashi Murahara ◽  
Takanobu Toyoshima ◽  
Jun Shinozaki ◽  
...  

Oscillatory brain activity is known to play an essential role in information processing in working memory. Recent studies have indicated that alpha activity (8–13 Hz) in the parieto-occipital area is strongly modulated in working memory tasks. However, the function of alpha activity in working memory is open to several interpretations, such that alpha activity may be a direct neural correlate of information processing in working memory or may reflect disengagement from information processing in other brain areas. To examine the functional contribution of alpha activity to visuospatial working memory, we introduced visuospatial distractors during a delay period and examined neural activity from the whole brain using magnetoencephalography. The strength of event-related alpha activity was estimated using the temporal spectral evolution (TSE) method. The results were as follows: (1) an increase of alpha activity during the delay period as indicated by elevated TSE curves was observed in parieto-occipital sensors in both the working memory task and a control task that did not require working memory; and (2) an increase of alpha activity during the delay period was not observed when distractors were presented, although TSE curves were constructed only from correct trials. These results indicate that the increase of alpha activity is not directly related to information processing in working memory but rather reflects the disengagement of attention from the visuospatial input.


2014 ◽  
Vol 204 (4) ◽  
pp. 290-298 ◽  
Author(s):  
Christine Lycke Brandt ◽  
Tom Eichele ◽  
Ingrid Melle ◽  
Kjetil Sundet ◽  
Andrés Server ◽  
...  

BackgroundSchizophrenia and bipolar disorder are severe mental disorders with overlapping genetic and clinical characteristics, including cognitive impairments. An important question is whether these disorders also have overlapping neuronal deficits.AimsTo determine whether large-scale brain networks associated with working memory, as measured with functional magnetic resonance imaging (fMRI), are the same in both schizophrenia and bipolar disorder, and how they differ from those in healthy individuals.MethodPatients with schizophrenia (n = 100) and bipolar disorder (n = 100) and a healthy control group (n = 100) performed a 2-back working memory task while fMRI data were acquired. The imaging data were analysed using independent component analysis to extract large-scale networks of task-related activations.ResultsSimilar working memory networks were activated in all groups. However, in three out of nine networks related to the experimental task there was a graded response difference in fMRI signal amplitudes, where patients with schizophrenia showed greater activation than those with bipolar disorder, who in turn showed more activation than healthy controls. Secondary analysis of the patient groups showed that these activation patterns were associated with history of psychosis and current elevated mood in bipolar disorder.ConclusionsThe same brain networks were related to working memory in schizophrenia, bipolar disorder and controls. However, some key networks showed a graded hyperactivation in the two patient groups, in line with a continuum of neuronal abnormalities across psychotic disorders.


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