Daniel J. Simons, Ronald A. Rensink
Change blindness is the striking failure to see large changes that normally would be noticed easily. Over the past decade this phenomenon has greatly contributed to our understanding of attention, perception, and even consciousness. The surprising extent of change blindness explains its broad appeal...
Jonathan Smallwood, Boris C. Bernhardt, Robert Leech, Danilo Bzdok et al.
The default mode network (DMN) is a set of widely distributed brain regions in the parietal, temporal and frontal cortex. These regions often show reductions in activity during attention-demanding tasks but increase their activity across multiple forms of complex cognition, many of which are linked ...
Roberta L. Klatzky, Susan J. Lederman, Victoria A. Metzger
Md Mahbub Hossain, Nusrat Khan, Abida Sultana, Ping Ma et al.
With ever-increasing prevalence of various mental disorders worldwide, a comprehensive evaluation of the prevalence of co-occurring psychiatric disorders among individuals with autism spectrum disorder (ASD) is needed to strengthen the knowledge base. This umbrella review aims to summarize the curre...
Simanto Saha, Khondaker A. Mamun, Khawza Ahmed, Raqibul Mostafa et al.
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such...
Feng Bai, Ni Shu, Yonggui Yuan, Yongmei Shi et al.
Alzheimer's disease (AD) can be conceptualized as a disconnection syndrome. Both remitted geriatric depression (RGD) and amnestic mild cognitive impairment (aMCI) are associated with a high risk for developing AD. However, little is known about the similarities and differences in the topological pat...
Graham Caithness, Rieko Osu, Paul M. Bays, Henry W. Chase et al.
An influential idea in human motor learning is that there is a consolidation period during which motor memories are transformed from a fragile to a permanent state, no longer susceptible to interference from new learning. The evidence supporting this idea comes from studies showing that the motor me...
Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
Shalini Stalin, Vandana Roy, Prashant Kumar Shukla, Atef Zaguia et al.
The electroencephalogram (EEG) signals are a big data which are frequently corrupted by motion artifacts. As human neural diseases, diagnosis and analysis need a robust neurological signal. Consequently, the EEG artifacts’ eradication is a vital step. In this research paper, the primary motion artif...
M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, Aklima Akter Lima et al.
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that cover...
Samiul Alam, M. I. H. Bhuiyan
In this paper, a method using higher order statistical moments of EEG signals calculated in the empirical mode decomposition (EMD) domain is proposed for detecting seizure and epilepsy. The appropriateness of these moments in distinguishing the EEG signals is investigated through an extensive analys...
Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
Background Automatic sleep scoring is essential owing to the fact that conventionally a large volume of data have to be analyzed visually by the physicians which is onerous, time-consuming and error-prone. Therefore, there is a dire need of an automated sleep staging scheme. New method In this work,...
Sarah J. Wallace, Linda Worrall, Tanya Rose, Guylaine Le Dorze et al.
PURPOSE: To identify important treatment outcomes from the perspective of people with aphasia and their families using the ICF as a frame of reference. METHODS: The nominal group technique was used with people with aphasia and their family members in seven countries to identify and rank important tr...
Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
Background and objective Automatic sleep staging is essential for alleviating the burden of the physicians of analyzing a large volume of data by visual inspection. It is also a precondition for making an automated sleep monitoring system feasible. Further, computerized sleep scoring will expedite l...
Ahnaf Rashik Hassan, Abdülhamit Subaşı