Results 151 to 160 of about 5,006,415 (321)

Regional Cerebral Atrophy Contributes to Personalized Survival Prediction in Amyotrophic Lateral Sclerosis: A Multicentre, Machine Learning, Deformation‐Based Morphometry Study

Annals of Neurology, EarlyView.
Objective Accurate personalized survival prediction in amyotrophic lateral sclerosis is essential for effective patient care planning. This study investigates whether grey and white matter changes measured by magnetic resonance imaging can improve individual survival predictions.
Isabelle Lajoie, Canadian ALS Neuroimaging Consortium (CALSNIC), Sanjay Kalra, Mahsa Dadar   +3 more
wiley   +1 more source

A comparison of multiband and multiband multiecho gradient‐echo EPI for task fMRI at 3 T

Human Brain Mapping, Volume 44, Issue 1, Page 82-93, January 2023., 2023
In summary, we found that multiband multiecho (MBME) and MB give a comparable performance in most brain regions with this comparison study. In the regions with dropouts and susceptibility induced inhomogeneity, MBME performed somewhat better at the group level.
Zahra Fazal, Daniel E. P. Gomez, Alberto Llera, José P. R. F. Marques, Thomas Beck, Benedikt A. Poser, David G. Norris   +6 more
wiley   +1 more source

Identification without naming: a functional neuroimaging study of an anomic patient [PDF]

, 2001
Maria‐Luisa Gorno‐Tempini
openalex   +1 more source

Brain Metabolic Features of FUS‐ALS: A 2‐[18F]FDG‐PET Study

Annals of Neurology, EarlyView.
Objective We aimed at evaluating the brain metabolic features of fused in sarcoma amyotrophic lateral sclerosis (FUS‐ALS) compared with sporadic ALS (sALS), using 2‐[fluorine‐18] fluoro‐2‐deoxy‐D‐glucose positron emission tomography (2‐[18F]FDG‐PET). Methods We employed the 2‐sample t‐test model of SPM12, implemented in MATLAB, to compare 12 FUS‐ALS ...
Antonio Canosa, Umberto Manera, Rosario Vasta, Grazia Zocco, Francesca Di Pede, Sara Cabras, Filippo De Mattei, Francesca Palumbo, Barbara Iazzolino, Emilio Minerva, Luca Sbaiz, Maura Brunetti, Salvatore Gallone, Maurizio Grassano, Enrico Matteoni, Giulia Polverari, Giuseppe Fuda, Federico Casale, Paolina Salamone, Giovanni De Marco, Giulia Marchese, Cristina Moglia, Andrea Calvo, Marco Pagani, Adriano Chiò   +24 more
wiley   +1 more source

The neural correlates of retrieval and procedural strategies in mental arithmetic: A functional neuroimaging meta‐analysis

Human Brain Mapping, Volume 44, Issue 1, Page 229-244, January 2023., 2023
The current study used activation likelihood estimation (ALE) to identify, compare, and contrast brain regions that respond to mental arithmetic typically solved using retrieval and procedural strategies at the meta‐analytic level. Collapsing across retrieval and procedural problems, we replicate previous meta‐analytic findings to show that arithmetic ...
H. Moriah Sokolowski, Zachary Hawes, Daniel Ansari   +2 more
wiley   +1 more source

Continuous Estimation of Blood Pressure by Utilizing Seismocardiogram Signal Features in Relation to Electrocardiogram

Biosensors
There is an ongoing search for a reliable and continuous method of noninvasive blood pressure (BP) tracking. In this study, we investigate the feasibility of utilizing seismocardiogram (SCG) signals, i.e., chest motion caused by cardiac activity, for ...
Aleksandra Zienkiewicz, Vesa Korhonen, Vesa Kiviniemi, Teemu Myllylä   +3 more
doaj   +1 more source

The role of spatial configuration in tests of working memory explored with functional neuroimaging [PDF]

, 2001
Daniel Bor, John Duncan, Adrian M. Owen
openalex   +1 more source

Psychoses of Epilepsy: Unravelling the Phenotypic and Genotypic Features

Annals of Neurology, EarlyView.
Objectives We analyzed the genotypic and phenotypic features of patients with psychosis of epilepsy (POE). Methods Patients with POE recruited to an epilepsy genetics research program underwent phenotyping and genetic analysis. The latter included screening for rare pathogenic variants in epilepsy genes, and polygenic risk score (PRS) calculation for ...
Genevieve Rayner, Eliza Honybun, Melanie Bahlo, Karen L. Oliver, Ingrid E. Scheffer   +4 more
wiley   +1 more source

Prediction of the information processing speed performance in multiple sclerosis using a machine learning approach in a large multicenter magnetic resonance imaging data set

Human Brain Mapping, Volume 44, Issue 1, Page 186-202, January 2023., 2023
We developed an advanced machine learning pipeline to identify brain structural magnetic resonance imaging (MRI) volumes that, along with demographic and clinical data, predict information processing speed (IPS) performance, assessed with the Symbol Digit Modalities Test (SDMT), of patients with multiple sclerosis (MS).
Chiara Marzi, Alessandro d'Ambrosio, Stefano Diciotti, Alvino Bisecco, Manuela Altieri, Massimo Filippi, Maria Assunta Rocca, Loredana Storelli, Patrizia Pantano, Silvia Tommasin, Rosa Cortese, Nicola De Stefano, Gioacchino Tedeschi, Antonio Gallo, the INNI Network   +14 more
wiley   +1 more source

Differences in medial temporal network intrinsic connectivity after a single bout of exercise relate to fitness, memory, and affect

NeuroImage
Introduction: Chronic exercise has been linked to structural and functional changes in the hippocampus and surrounding areas. However, less is known about how a single session of exercise can induce immediate effects that may contribute to these long ...
Anastasia Cherednichenko, María Baena-Pérez, Anna Miró-Padilla, Maria Reyes Beltrán-Valls, Diego Moliner-Urdiales, César Ávila   +5 more
doaj