Validity, Reliability and Normative Data of The Stroop Test capa Version

Objective: The Stroop test Capa version does not have normative data, despite its extensive use in clinical and research settings to assess executive functions. The aim of the present study was to test the validity and reliability of the Stroop test Capa version and to establish stratified normative data in individuals aged between 18-83 years

Impairment in recognition of emotional facial expressions in Alzheimer's disease is represented by EEG theta and alpha responses

Behavioral studies have shown that the recognition of facial expressions may be impaired in patients with Alzheimer's disease (AD). The identification and recognition of a facial expression might be represented by event-related brain oscillations. The present study aims to analyze EEG event-related oscillations and determine the electrophysiological indicators of impaired facial expression recognition in AD patients. EEGs of 30 healthy controls and 30 AD patients were recorded during their perception of three different facial expressions (angry, happy, neutral). Event-related power spectrum and phase locking were analyzed in the theta (4-7) and alpha (8-13 Hz) frequency bands with the EEGLAB open toolbox. There was a significant facial Expression x Group interaction (p < 0.05) for the theta power spectrum; the healthy control group had higher theta power than the AD group during the perception of angry facial expressions (p < 0.05). There was a significant hemisphere difference between the two groups (p < 0.05). There was a right hemisphere alpha power dominance in healthy subjects. However, AD patients did not have this alpha power asymmetry. The present study, for the first time in the literature, presents the electrophysiological indicators of impaired recognition of facial expression in AD patients. The current study could be a basis for future studies that will analyze emotional processing in different kinds of dementia patients, and this study may have provided indicators of electrophysiological correlates of behavioral problems observed in clinical practice

What does the broken brain say to the neuroscientist? Oscillations and connectivity in schizophrenia, Alzheimer's disease, and bipolar disorder

The application of the concept and methods of brain oscillations has been an important research area in neurosciences. In the last decades, besides the application in cognitive processes, the study of changes in brain oscillations in diseases has also become an important focal point of research. In the present paper, some remarkable examples in three different diseases are taken into consideration: 1) schizophrenia (SZ), 2) Alzheimer's disease (AD), 3) bipolar disorders (BD)

The impact of automated hippocampal volumetry on diagnostic confidence in patients with suspected Alzheimer's disease: An EADC study

none47Hippocampal volume is a core biomarker of Alzheimer's disease (AD). However, its contribution over the standard diagnostic workup is unclear. Three hundred fifty-six patients, under clinical evaluation for cognitive impairment, with suspected AD and Mini-Mental State Examination ≥20, were recruited across 17 European memory clinics. After the traditional diagnostic workup, diagnostic confidence of AD pathology (DCAD) was estimated by the physicians in charge. The latter were provided with the results of automated hippocampal volumetry in standardized format and DCAD was reassessed. RESULTS: An increment of one interquartile range in hippocampal volume was associated with a mean change of DCAD of -8.0% (95% credible interval: [-11.5, -5.0]). Automated hippocampal volumetry showed a statistically significant impact on DCAD beyond the contributions of neuropsychology, 18F-fluorodeoxyglucose positron emission tomography/single-photon emission computed tomography, and cerebrospinal fluid markers (-8.5, CrI: [-11.5, -5.6]; -14.1, CrI: [-19.3, -8.8]; -10.6, CrI: [-14.6, -6.1], respectively). DISCUSSION: There is a measurable effect of hippocampal volume on DCAD even when used on top of the traditional diagnostic workup.Bosco, Paolo; Redolfi, Alberto; Bocchetta, Martina; Ferrari, Clarissa; Mega, Anna; Galluzzi, Samantha; Austin, Mark; Chincarini, Andrea; Collins, D Louis; Duchesne, Simon; Maréchal, Bénédicte; Roche, Alexis; Sensi, Francesco; Wolz, Robin; Alegret, Montserrat; Assal, Frederic; Balasa, Mircea; Bastin, Christine; Bougea, Anastasia; Emek-Savaş, Derya Durusu; Engelborghs, Sebastiaan; Grimmer, Timo; Grosu, Galina; Kramberger, Milica G; Lawlor, Brian; Mandic Stojmenovic, Gorana; Marinescu, Mihaela; Mecocci, Patrizia; Molinuevo, José Luis; Morais, Ricardo; Niemantsverdriet, Ellis; Nobili, Flavio; Ntovas, Konstantinos; O'Dwyer, Sarah; Paraskevas, George P; Pelini, Luca; Picco, Agnese; Salmon, Eric; Santana, Isabel; Sotolongo-Grau, Oscar; Spiru, Luiza; Stefanova, Elka; Popovic, Katarina Surlan; Tsolaki, Magda; Yener, Görsev G; Zekry, Dina; Frisoni, Giovanni BBosco, Paolo; Redolfi, Alberto; Bocchetta, Martina; Ferrari, Clarissa; Mega, Anna; Galluzzi, Samantha; Austin, Mark; Chincarini, Andrea; Collins, D. Louis; Duchesne, Simon; Maréchal, Bénédicte; Roche, Alexis; Sensi, Francesco; Wolz, Robin; Alegret, Montserrat; Assal, Frederic; Balasa, Mircea; Bastin, Christine; Bougea, Anastasia; Emek Savaş, Derya Durusu; Engelborghs, Sebastiaan; Grimmer, Timo; Grosu, Galina; Kramberger, Milica G; Lawlor, Brian; Mandic Stojmenovic, Gorana; Marinescu, Mihaela; Mecocci, Patrizia; Molinuevo, José Luis; Morais, Ricardo; Niemantsverdriet, Ellis; Nobili, FLAVIO MARIANO; Ntovas, Konstantinos; O'Dwyer, Sarah; Paraskevas, George P; Pelini, Luca; Picco, Agnese; Salmon, Eric; Santana, Isabel; Sotolongo Grau, Oscar; Spiru, Luiza; Stefanova, Elka; Popovic, Katarina Surlan; Tsolaki, Magda; Yener, Görsev G; Zekry, Dina; Frisoni, Giovanni B