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The effectiveness of transcranial magnetic stimulation for dysphagia in stroke patients: an umbrella review of systematic reviews and meta-analyses Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-14 Anastasios M. Georgiou, Phivos Phylactou, Maria Kambanaros
Numerous studies have explored the use of repetitive Transcranial Magnetic Stimulation (rTMS) intervention in post-stroke dysphagia. The primary aim of this umbrella review was to appraise the methodological quality of systematic reviews (SRs), with and without meta-analyses (MAs), that synthesized the findings of randomized controlled trials (RCTs) exploring the effectiveness of rTMS in the management
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The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-13 Gianvittorio Luria, Alessandro Viani, Annalisa Pascarella, Harald Bornfleth, Sara Sommariva, Alberto Sorrentino
Source localization from M/EEG data is a fundamental step in many analysis pipelines, including those aiming at clinical applications such as the pre-surgical evaluation in epilepsy. Among the many available source localization algorithms, SESAME (SEquential SemiAnalytic Montecarlo Estimator) is a Bayesian method that distinguishes itself for several good reasons: it is highly accurate in localizing
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Unveiling gender differences in psychophysiological dynamics: support for a two-dimensional autonomic space approach Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-13 Yarden Menashri Sinai, Yaopeng X. J. Ma, Michal Abba Daleski, Sharon Gannot, Ronny P. Bartsch, Ilanit Gordon
IntroductionTo date, studies focusing on the connection between psychological functioning and autonomic nervous system (ANS) activity usually adopted the one-dimensional model of autonomic balance, according to which activation of one branch of the ANS is accompanied by an inhibition of the other. However, the sympathetic and parasympathetic branches also activate independently; thus, co-activation
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Real-time EEG-based emotion recognition for neurohumanities: perspectives from principal component analysis and tree-based algorithms Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-13 Miguel Alejandro Blanco-Ríos, Milton Osiel Candela-Leal, Cecilia Orozco-Romo, Paulina Remis-Serna, Carol Stefany Vélez-Saboyá, Jorge de Jesús Lozoya-Santos, Manuel Cebral-Loureda, Mauricio Adolfo Ramírez-Moreno
Within the field of Humanities, there is a recognized need for educational innovation, as there are currently no reported tools available that enable individuals to interact with their environment to create an enhanced learning experience in the humanities (e.g., immersive spaces). This project proposes a solution to address this gap by integrating technology and promoting the development of teaching
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Structural volumetric and Periodic Table DTI patterns in Complex Normal Pressure Hydrocephalus—Toward the principles of a translational taxonomy Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-13 Christine Lock, Emma M. S. Toh, Nicole C. Keong
IntroductionWe previously proposed a novel taxonomic framework to describe the diffusion tensor imaging (DTI) profiles of white matter tracts by their diffusivity and neural properties. We have shown the relevance of this strategy toward interpreting brain tissue signatures in Classic Normal Pressure Hydrocephalus vs. comparator cohorts of mild traumatic brain injury and Alzheimer’s disease. In this
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The effect of reward on motor learning: different stage, different effect Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-12 Jingwang Zhao, Guanghu Zhang, Dongsheng Xu
Motor learning is a prominent and extensively studied subject in rehabilitation following various types of neurological disorders. Motor repair and rehabilitation often extend over months and years post-injury with a slow pace of recovery, particularly affecting the fine movements of the distal extremities. This extended period can diminish the motivation and persistence of patients, a facet that has
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Inter-brain desynchronization in social interaction: a consequence of subjective involvement? Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-12 Tom Froese, Chen Lam Loh, Finda Putri
Hyperscanning approaches to human neuroscience aim to uncover the neural mechanisms of social interaction. They have been largely guided by the expectation that increased levels of engagement between two persons will be supported by higher levels of inter-brain synchrony (IBS). A common approach to measuring IBS is phase synchrony in the context of EEG hyperscanning. Yet the growing number of experimental
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Robustness of the self-referential process under normobaric hypoxia: an fNIRS study using the GLM and homologous cortical functional connectivity analyses Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-12 Takehiro Minamoto, Naoaki Kawakami, Takehiko Tsujimoto
IntroductionHypoxia has been reported to impair psychological functions, such as working memory and decision-making. However, few studies have examined hypoxia’s effect on social cognition.MethodsUsing a self-referential task, the present study investigated normobaric hypoxia’s effect on the self-referential process. Additionally, we measured brain activity during the task with fNIRS and performed
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Development of auditory scene analysis: a mini-review Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-12 Axelle Calcus
Most auditory environments contain multiple sound waves that are mixed before reaching the ears. In such situations, listeners must disentangle individual sounds from the mixture, performing the auditory scene analysis. Analyzing complex auditory scenes relies on listeners ability to segregate acoustic events into different streams, and to selectively attend to the stream of interest. Both segregation
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Interpersonal eye-tracking reveals the dynamics of interacting minds Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-12 Sophie Wohltjen, Thalia Wheatley
The human eye is a rich source of information about where, when, and how we attend. Our gaze paths indicate where and what captures our attention, while changes in pupil size can signal surprise, revealing our expectations. Similarly, the pattern of our blinks suggests levels of alertness and when our attention shifts between external engagement and internal thought. During interactions with others
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Global sensitivity of EEG source analysis to tissue conductivity uncertainties Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-12 Johannes Vorwerk, Carsten H. Wolters, Daniel Baumgarten
IntroductionTo reliably solve the EEG inverse problem, accurate EEG forward solutions based on a detailed, individual volume conductor model of the head are essential. A crucial—but often neglected—aspect in generating a volume conductor model is the choice of the tissue conductivities, as these may vary from subject to subject. In this study, we investigate the sensitivity of EEG forward and inverse
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Theater practice and interpersonal synchronization behaviors: a pilot study comparing actors and non-actors Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-11 Gabriele Sofia, Clément Mager, Lionel Brunel, Anne-Sophie Noel
Recent studies in the field of theater studies no longer view theater as an object, but rather as a dynamic relationship between actors and spectators. In an embodied and situated perspective of cognition, imagination emerges as a product of this dynamic. This study aims to investigate whether acting practice enhances someone’s abilities to set up an effective relationship with others and allows the
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Case report: accelerated cathodal HD-tDCS over the right dorsolateral prefrontal cortex in hoarding disorder Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-11 Jerome Brunelin, Cécilia Neige, Julien Eche, Filipe Galvao, Rémy Bation, Marine Mondino
Hoarding disorder is an under-recognized condition characterized by the excessive acquisition of possessions and difficulty in disposing of them, which can have dramatic consequences. As hoarding disorder is difficult to treat and associated with high levels of disability in all areas of functioning, there appears to be a critical need to develop novel, tailored therapeutic strategies. Non-invasive
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Coherent activity within and between hemispheres: cortico-cortical connectivity revealed by rTMS of the right posterior parietal cortex Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-06 Chiara Mazzi, Sonia Mele, Chiara Bagattini, Javier Sanchez-Lopez, Silvia Savazzi
IntroductionLow frequency (1 Hz) repetitive transcranial stimulation (rTMS) applied over right posterior parietal cortex (rPPC) has been shown to reduce cortical excitability both of the stimulated area and of the interconnected contralateral homologous areas. In the present study, we investigated the whole pattern of intra- and inter-hemispheric cortico-cortical connectivity changes induced by rTMS
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The effects of football juggling learning on executive function and brain functional connectivity Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-06 Xiaoxiao Dong, Xiang Gui, Sebastian Klich, Lina Zhu, Dandan Chen, Zhiyuan Sun, Yifan Shi, Aiguo Chen
This study aimed to explore the relationship between motor skill learning and executive function (EF), with an emphasis on the potential effects of football juggling learning. A randomized controlled trial involving 111 participants aged 17–19 years was conducted. Participants were randomly assigned to either the football juggling learning (FJL) group or a control group. The FJL group underwent 70
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A scientometric review of the growing trends in transcranial alternating current stimulation (tACS) Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-06 Yuanli Liu, Yulin Luo, Na Zhang, Xiaochu Zhang, Shen Liu
ObjectiveThe aim of the current study was to provide a comprehensive picture of tACS-related research in the last decade through a bibliometric approach in order to systematically analyze the current status and cutting-edge trends in this field.MethodsArticles and review articles related to tACS from 2013 to 2022 were searched on the Web of Science platform. A bibliometric analysis of authors, journals
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Resting-state functional MRI study of conventional MRI-negative intractable epilepsy in children Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-06 Xuhong Li, Heng Liu, Tijiang Zhang
ObjectiveThe study aimed at investigating functional connectivity strength (FCS) changes in children with MRI-negative intractable epilepsy (ITE) and evaluating correlations between aberrant FCS and both disease duration and intelligence quotient (IQ).MethodsFifteen children with ITE, 24 children with non-intractable epilepsy (nITE) and 25 matched healthy controls (HCs) were subjected to rs-fMRI. IQ
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Influencing factors of corticomuscular coherence in stroke patients Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-05 Zhixian Gao, Shiyang Lv, Xiangying Ran, Yuxi Wang, Mengsheng Xia, Junming Wang, Mengyue Qiu, Yinping Wei, Zhenpeng Shao, Zongya Zhao, Yehong Zhang, Xuezhi Zhou, Yi Yu
Stroke, also known as cerebrovascular accident, is an acute cerebrovascular disease with a high incidence, disability rate, and mortality. It can disrupt the interaction between the cerebral cortex and external muscles. Corticomuscular coherence (CMC) is a common and useful method for studying how the cerebral cortex controls muscle activity. CMC can expose functional connections between the cortex
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Opportunities and obstacles in non-invasive brain stimulation Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-05 Jake Toth, Danielle Lauren Kurtin, Méadhbh Brosnan, Mahnaz Arvaneh
Non-invasive brain stimulation (NIBS) is a complex and multifaceted approach to modulating brain activity and holds the potential for broad accessibility. This work discusses the mechanisms of the four distinct approaches to modulating brain activity non-invasively: electrical currents, magnetic fields, light, and ultrasound. We examine the dual stochastic and deterministic nature of brain activity
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Assessing alexithymia: the proposal of a psychometric tool based on spheric videos Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-05 Gloria Simoncini, Francesca Borghesi, Valentina Mancuso, Elisa Pedroli, Pietro Cipresso
The present perspective introduces a novel psychometric tool designed to enhance the evaluation of alexithymia. Alexithymia, a condition marked by difficulties in recognizing and expressing emotions, along with a propensity to direct attention outside rather than toward one’s own interior experiences, is commonly investigated through self-report questionnaires. These instruments assume that individuals
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EEG-based finger movement classification with intrinsic time-scale decomposition Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-05 Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Yalcin Isler
IntroductionBrain-computer interfaces (BCIs) are systems that acquire the brain's electrical activity and provide control of external devices. Since electroencephalography (EEG) is the simplest non-invasive method to capture the brain's electrical activity, EEG-based BCIs are very popular designs. Aside from classifying the extremity movements, recent BCI studies have focused on the accurate coding
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Type I interferon signaling, cognition and neurodegeneration following COVID-19: update on a mechanistic pathogenetic model with implications for Alzheimer’s disease Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-04 George D. Vavougios, Vasilis-Spyridon Tseriotis, Andreas Liampas, Theodore Mavridis, Gabriel A. de Erausquin, Georgios Hadjigeorgiou
COVID-19’s effects on the human brain reveal a multifactorial impact on cognition and the potential to inflict lasting neuronal damage. Type I interferon signaling, a pathway that represents our defense against pathogens, is primarily affected by COVID-19. Type I interferon signaling, however, is known to mediate cognitive dysfunction upon its dysregulation following synaptopathy, microgliosis and
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Effective connectivity of working memory performance: a DCM study of MEG data Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-04 Aniol Santo-Angles, Ainsley Temudo, Vahan Babushkin, Kartik K. Sreenivasan
Visual working memory (WM) engages several nodes of a large-scale network that includes frontal, parietal, and visual regions; however, little is understood about how these regions interact to support WM behavior. In particular, it is unclear whether network dynamics during WM maintenance primarily represent feedforward or feedback connections. This question has important implications for current debates
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A toolbox for decoding BCI commands based on event-related potentials Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-04 Christoph Reichert, Catherine M. Sweeney-Reed, Hermann Hinrichs, Stefan Dürschmid
Commands in brain-computer interface (BCI) applications often rely on the decoding of event-related potentials (ERP). For instance, the P300 potential is frequently used as a marker of attention to an oddball event. Error-related potentials and the N2pc signal are further examples of ERPs used for BCI control. One challenge in decoding brain activity from the electroencephalogram (EEG) is the selection
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The “psychiatric” neuron: the psychic neuron of the cerebral cortex, revisited Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-01 L. Taylor Flynn, Nadia N. Bouras, Volodar M. Migovich, Jacob D. Clarin, Wen-Jun Gao
Nearly 25 years ago, Dr. Patricia Goldman-Rakic published her review paper, “The ‘Psychic’ Neuron of the Cerebral Cortex,” outlining the circuit-level dynamics, neurotransmitter systems, and behavioral correlates of pyramidal neurons in the cerebral cortex, particularly as they relate to working memory. In the decades since the release of this paper, the existing literature and our understanding of
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Lattice layout and optimizer effect analysis for generating optimal transcranial electrical stimulation (tES) montages through the metaheuristic L1L1 method Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-29 Fernando Galaz Prieto, Maryam Samavaki, Sampsa Pursiainen
IntroductionThis study focuses on broadening the applicability of the metaheuristic L1-norm fitted and penalized (L1L1) optimization method in finding a current pattern for multichannel transcranial electrical stimulation (tES). The metaheuristic L1L1 optimization framework defines the tES montage via linear programming by maximizing or minimizing an objective function with respect to a pair of hyperparameters
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Compensatory increase in ipsilesional supplementary motor area and premotor connectivity is associated with greater gait impairments: a personalized fMRI analysis in chronic stroke Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-29 Xiaolong Peng, Shraddha Srivastava, Falon Sutton, Yongkuan Zhang, Bashar W. Badran, Steven A. Kautz
BackgroundBalance and mobility impairments are prevalent post-stroke and a large number of survivors require walking assistance at 6 months post-stroke which diminishes their overall quality of life. Personalized interventions for gait and balance rehabilitation are crucial. Recent evidence indicates that stroke lesions in primary motor pathways, such as corticoreticular pathways (CRP) and corticospinal
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Maternal hsa-miR-423-5p associated with the cognitive development of babies in pregnant women without mental disorders Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-29 Cainá Corrêa do Amaral, Fernanda Nedel, Camila Perelló Ferrúa, Tiago Fernandez Garcia, Geovanna Peter Corrêa, Roberta Giorgi, Aline Longoni dos Santos, Adriano Martimbianco de Assis, Luciana de Avila Quevedo, Gabriele Cordenonzi Ghisleni, Mariana Bonati de Matos, Karen Amaral Tavares Pinheiro, Jéssica Puchalski Trettim, Ricardo Tavares Pinheiro
BackgroundMicroRNAs (miRNAs) are small non-coding RNAs capable of regulating gene expression post-transcriptionally. MiRNAs are recognized as key regulators of diverse biological and developmental processes. During the pregnancy–puerperal cycle, numerous changes occur in the female body for the formation, growth, and development of the baby. After birth, there is a critical period in child development
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Association of brain–autonomic activities and task accuracy under cognitive load: a pilot study using electroencephalogram, autonomic activity measurements, and arousal level estimated by machine learning Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-29 Naoya Sazuka, Koki Katsumata, Yota Komoriya, Takeyuki Oba, Hideki Ohira
The total amount of mental activity applied to working memory at a given point in time is called cognitive load, which is an important factor in various activities in daily life. We have proposed new feature quantities that reflect the time-series changes in the power of typical frequency bands in electroencephalogram (EEG) for use in examining the relationship between brain activity and behavior under
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Slowing gait during turning: how volition of modifying walking speed affects the gait pattern in healthy adults Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-29 Julian Madrid, Leo Benning, Mischa Selig, Baptiste Ulrich, Brigitte M. Jolles, Julien Favre, David H. Benninger
BackgroundTurning during walking and volitionally modulating walking speed introduces complexity to gait and has been minimally explored.Research questionHow do the spatiotemporal parameters vary between young adults walking at a normal speed and a slower speed while making 90°, 180°, and 360° turns?MethodsIn a laboratory setting, the spatiotemporal parameters of 10 young adults were documented as
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Grasping affordance judgments depend on the object emotional value Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-28 Matheus Ribeiro Felippin, Ivo Lopes Azevedo, Ghislain Saunier, Les Keniston, Anaelli Aparecida Nogueira-Campos
Introduction The concept of affordance refers to the opportunities for action provided by the environment, often conveyed through visual information. It has been applied to explain visuomotor processing and movement planning. As emotion modulates both visual perception and the motor system, it is reasonable to ask whether emotion can influence affordance judgments. If present, this relationship can
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Active recharge biphasic stimulation for the intraoperative monopolar review in deep brain stimulation Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-28 David Mampre, Min Jae Kim, Tucker Oliver, Zachary Sorrentino, Vyshak Chandra, Carlton Christie, Rasheedat Zakare-Fagbamila, Justin D. Hilliard, Joshua K. Wong
IntroductionCharge balancing is used in deep brain stimulation (DBS) to avoid net charge accumulation at the tissue-electrode interface that can result in neural damage. Charge balancing paradigms include passive recharge and active recharge. In passive recharge, each cathodic pulse is accompanied by a waiting period before the next stimulation, whereas active recharge uses energy to deliver symmetric
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The neuronal basis of human creativity Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-27 Rafael Malach
Human creativity is a powerful cognitive ability underlying all uniquely human cultural and scientific advancement. However, the neuronal basis of this creative ability is unknown. Here, I propose that slow, spontaneous fluctuations in neuronal activity, also known as “resting state” fluctuations, constitute a universal mechanism underlying all facets of human creativity. Support for this hypothesis
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A method for synchronized use of EEG and eye tracking in fully immersive VR Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-26 Olav F. P. Larsen, William G. Tresselt, Emanuel A. Lorenz, Tomas Holt, Grethe Sandstrak, Tor I. Hansen, Xiaomeng Su, Alexander Holt
This study explores the synchronization of multimodal physiological data streams, in particular, the integration of electroencephalography (EEG) with a virtual reality (VR) headset featuring eye-tracking capabilities. A potential use case for the synchronized data streams is demonstrated by implementing a hybrid steady-state visually evoked potential (SSVEP) based brain-computer interface (BCI) speller
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Management of essential tremor deep brain stimulation-induced side effects Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-22 Alfonso Enrique Martinez-Nunez, Filipe P. Sarmento, Vyshak Chandra, Christopher William Hess, Justin David Hilliard, Michael S. Okun, Joshua K. Wong
Deep brain stimulation (DBS) is an effective surgical therapy for carefully selected patients with medication refractory essential tremor (ET). The most popular anatomical targets for ET DBS are the ventral intermedius nucleus (VIM) of the thalamus, the caudal zona incerta (cZI) and the posterior subthalamic area (PSA). Despite extensive knowledge in DBS programming for tremor suppression, it is not
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Case report: An N-of-1 study using amplitude modulated transcranial alternating current stimulation between Broca's area and the right homotopic area to improve post-stroke aphasia with increased inter-regional synchrony Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-22 Erika Omae, Atsushi Shima, Kazuki Tanaka, Masako Yamada, Yedi Cao, Tomoyuki Nakamura, Hajime Hoshiai, Yumi Chiba, Hiroshi Irisawa, Takashi Mizushima, Tatsuya Mima, Satoko Koganemaru
Over one-third of stroke survivors develop aphasia, and language dysfunction persists for the remainder of their lives. Brain language network changes in patients with aphasia. Recently, it has been reported that phase synchrony within a low beta-band (14–19 Hz) frequency between Broca's area and the homotopic region of the right hemisphere is positively correlated with language function in patients
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Proceedings of the 11th Annual Deep Brain Stimulation Think Tank: pushing the forefront of neuromodulation with functional network mapping, biomarkers for adaptive DBS, bioethical dilemmas, AI-guided neuromodulation, and translational advancements Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-21 Kara A. Johnson, Nico U. F. Dosenbach, Evan M. Gordon, Cristin G. Welle, Kevin B. Wilkins, Helen M. Bronte-Stewart, Valerie Voon, Takashi Morishita, Yuki Sakai, Amanda R. Merner, Gabriel Lázaro-Muñoz, Theresa Williamson, Andreas Horn, Ro'ee Gilron, Jonathan O'Keeffe, Aryn H. Gittis, Wolf-Julian Neumann, Simon Little, Nicole R. Provenza, Sameer A. Sheth, Alfonso Fasano, Abbey B. Holt-Becker, Robert
The Deep Brain Stimulation (DBS) Think Tank XI was held on August 9–11, 2023 in Gainesville, Florida with the theme of “Pushing the Forefront of Neuromodulation”. The keynote speaker was Dr. Nico Dosenbach from Washington University in St. Louis, Missouri. He presented his research recently published in Nature inn a collaboration with Dr. Evan Gordon to identify and characterize the somato-cognitive
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Effects of acute and long-term mindfulness on neural activity and the conflict resolution component of attention Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-21 Dehan Elcin, Miguel Velasquez, Paul J. Colombo
Mindfulness practices have been linked to enhanced attention and conflict resolution abilities. While much research has focused on the long-term effects of mindfulness, the immediate impact of a single session has been less studied. This study recruited 20 experienced meditators and 20 novices and assigned them to a mindfulness or a control condition. They completed a Stroop Task to measure cognitive
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Effects of speech rate modifications on phonatory acoustic outcomes in Parkinson’s disease Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-21 Thea Knowles, Scott G. Adams, Mandar Jog
Speech rate reduction is a global speech therapy approach for speech deficits in Parkinson’s disease (PD) that has the potential to result in changes across multiple speech subsystems. While the overall goal of rate reduction is usually improvements in speech intelligibility, not all people with PD benefit from this approach. Speech rate is often targeted as a means of improving articulatory precision
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Human brain activity and functional connectivity associated with verbal long-term memory consolidation across 1 month Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-21 Catherine W. Tallman, Zhishang Luo, Christine N. Smith
IntroductionDeclarative memories are initially dependent on the hippocampus and become stabilized through the neural reorganization of connections between the medial temporal lobe and neocortex. The exact time-course of these neural changes is not well established, although time-dependent changes in retrieval-related brain function can be detected across relatively short time periods in humans (e.g
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AFM signal model for dysarthric speech classification using speech biomarkers Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-20 Shaik Mulla Shabber, Eratt Parameswaran Sumesh
Neurological disorders include various conditions affecting the brain, spinal cord, and nervous system which results in reduced performance in different organs and muscles throughout the human body. Dysarthia is a neurological disorder that significantly impairs an individual's ability to effectively communicate through speech. Individuals with dysarthria are characterized by muscle weakness that results
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Potentially modifiable risk and protective factors affecting mental and emotional wellness in pregnancy Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-20 Fiona Wohrer, Helen Ngo, Jared DiDomenico, Xingya Ma, Melissa H. Roberts, Ludmila N. Bakhireva
IntroductionImpaired mental and emotional wellness often co-occurs with prenatal substance use, and both affect infant socio-emotional, cognitive, language, motor, and adaptive behavioral outcomes. Guided by the modified biopsychosocial framework, this study examined the role of common substance exposures during pregnancy (i.e., alcohol and cannabis), socio-cultural factors (social support during pregnancy
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Children with bilateral cerebral palsy use their hip joint to complete a step-up task Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-20 Vatsala Goyal, Keith E. Gordon, Theresa Sukal-Moulton
Performance in stair-climbing is largely associated with disruptions to mobility and community participation in children with cerebral palsy (CP). It is important to understand the nature of motor impairments responsible for making stairs a challenge in children with bilateral CP to clarify underlying causes of impaired mobility. In pediatric clinical populations, sensitive measurements of movement
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Spatial tactile localization depends on sensorimotor binding: preliminary evidence from virtual reality Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-20 Matteo Girondini, Massimo Montanaro, Alberto Gallace
IntroductionOur brain continuously maps our body in space. It has been suggested that at least two main frames of reference are used to process somatosensory stimuli presented on our own body: the anatomical frame of reference (based on the somatotopic representation of our body in the somatosensory cortex) and the spatial frame of reference (where body parts are mapped in external space). Interestingly
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Measuring cognitive flexibility: A brief review of neuropsychological, self-report, and neuroscientific approaches Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-19 Kelly Hohl, Sanda Dolcos
Cognitive flexibility involves dynamic processes that allow adaptation of our thinking and behavior in response to changing contextual demands. Despite a large consensus about its beneficial effects, cognitive flexibility is still poorly understood. In this mini review, we examined the main conceptualizations and approaches for assessing cognitive flexibility: (1) neuropsychological tasks, (2) self-report
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DiMANI: diffusion MRI for anatomical nuclei imaging—Application for the direct visualization of thalamic subnuclei Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-19 Rémi Patriat, Tara Palnitkar, Jayashree Chandrasekaran, Karianne Sretavan, Henry Braun, Essa Yacoub, Robert A. McGovern, Joshua Aman, Scott E. Cooper, Jerrold L. Vitek, Noam Harel
The thalamus is a centrally located and heterogeneous brain structure that plays a critical role in various sensory, motor, and cognitive processes. However, visualizing the individual subnuclei of the thalamus using conventional MRI techniques is challenging. This difficulty has posed obstacles in targeting specific subnuclei for clinical interventions such as deep brain stimulation (DBS). In this
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No effects of the theta-frequency transcranial electrical stimulation for recall, attention control, and relation integration in working memory Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-19 Michał Ociepka, Suvarna Rekha Chinta, Paweł Basoń, Adam Chuderski
IntroductionRecent studies have suggested that transcranial alternating current stimulation (tACS), and especially the theta-frequency tACS, can improve human performance on working memory tasks. However, evidence to date is mixed. Moreover, the two WM tasks applied most frequently, namely the n-back and change-detection tasks, might not constitute canonical measures of WM capacity.MethodIn a relatively
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Motor imagery therapy improved upper limb motor function in stroke patients with hemiplegia by increasing functional connectivity of sensorimotor and cognitive networks Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-19 Wan Liu, Xinxin Cheng, Jiang Rao, Jiawen Yu, Zhiqiang Lin, Yao Wang, Lulu Wang, Danhui Li, Li Liu, Run Gao
BackgroundMotor imagery therapy (MIT) showed positive effects on upper limbs motor function. However, the mechanism by which MIT improves upper limb motor function is not fully understood. Therefore, our purpose was to investigate the changes in functional connectivity (FC) within and outside the sensorimotor network (SMN) induced by MIT associated with improvement in upper limb motor function in stroke
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Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-16 Haroon Khan, Rabindra Khadka, Malik Shahid Sultan, Anis Yazidi, Hernando Ombao, Peyman Mirtaheri
In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number of control commands for a possible fNIRS-based brain-computer interface (BCI) applications. The study focuses on novel individual finger-tapping, a well-known task in fNIRS and fMRI
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Ethical considerations for integrating multimodal computer perception and neurotechnology Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-16 Meghan E. Hurley, Anika Sonig, John Herrington, Eric A. Storch, Gabriel Lázaro-Muñoz, Jennifer Blumenthal-Barby, Kristin Kostick-Quenet
BackgroundArtificial intelligence (AI)-based computer perception technologies (e.g., digital phenotyping and affective computing) promise to transform clinical approaches to personalized care in psychiatry and beyond by offering more objective measures of emotional states and behavior, enabling precision treatment, diagnosis, and symptom monitoring. At the same time, passive and continuous nature by
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Analyzing and computing humans by means of the brain using Brain-Computer Interfaces - understanding the user – previous evidence, self-relevance and the user’s self-concept as potential superordinate human factors of relevance Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-16 Cornelia Herbert
Brain–computer interfaces (BCIs) are well-known instances of how technology can convert a user’s brain activity taken from non-invasive electroencephalography (EEG) into computer commands for the purpose of computer-assisted communication and interaction. However, not all users are attaining the accuracy required to use a BCI consistently, despite advancements in technology. Accordingly, previous research
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Embodied metacognition as strengthened functional connection between neural correlates of metacognition and dance in dancers: exploring creativity implications Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-15 Ching-Ju Yang, Hsin-Yen Yu, Tzu-Yi Hong, Li-Kai Cheng, Wei-Chi Li, Tzu-Chen Yeh, Li-Fen Chen, Jen-Chuen Hsieh
IntroductionDance education fosters embodied metacognition, enhancing student’s creativity. This study examines the crucial role of functional connectivity (FC) between the neural correlates of metacognition (NCM) and dance (NCD) as the neurological foundation for dancers’ embodied metacognition. The investigation also explores whether these consolidated FCs inform the general creativity in dancers
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Modulations of stretch reflex by altering visuomotor contexts Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-14 Sho Ito, Hiroaki Gomi
Various functional modulations of the stretch reflex help to stabilize actions, but the computational mechanism behind its context-dependent tuning remains unclear. While many studies have demonstrated that motor contexts associated with the task goal cause functional modulation of the stretch reflex of upper limbs, it is not well understood how visual contexts independent of the task requirements
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Telemedicine in patients with obsessive–compulsive disorder after deep brain stimulation: a case series Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-14 Xiaonan Wan, Zhengyu Lin, Zhitong Zeng, Yingying Zhang, Chengcheng Duan, Chencheng Zhang, Dianyou Li
BackgroundPatients suffering from refractory obsessive-compulsive disorder (OCD) who have undergone deep brain stimulation (DBS) surgery require repeated in-person programming visits. These sessions could be labor-intensive and may not always be feasible, particularly when in-person hospital visits are restricted. Telemedicine is emerging as a potential supplementary tool for post-operative care. However
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A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-14 Jagdeep Rahul, Diksha Sharma, Lakhan Dev Sharma, Umakanta Nanda, Achintya Kumar Sarkar
The electroencephalogram (EEG) serves as an essential tool in exploring brain activity and holds particular importance in the field of mental health research. This review paper examines the application of artificial intelligence (AI), encompassing machine learning (ML) and deep learning (DL), for classifying schizophrenia (SCZ) through EEG. It includes a thorough literature review that addresses the
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A review: effects of neurofeedback on patients with mild cognitive impairment (MCI), and Alzheimer’s disease (AD) Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-14 Miyako Tazaki
Neurofeedback training (NFT) is a non-invasive method and has been shown to be effective for attention deficit/hyperactivity disorder (ADHD) and various psychiatric disorders. The aim of this paper is to evaluate the effectiveness of NFT for patients with Mild Cognitive Impairment (MCI) and Alzheimer’s disease (AD) or Vascular Diseases (VD), so that we searched research articles from four databases
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A classification-based generative approach to selective targeting of global slow oscillations during sleep Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-13 Mahmoud Alipour, SangCheol Seok, Sara C. Mednick, Paola Malerba
BackgroundGiven sleep’s crucial role in health and cognition, numerous sleep-based brain interventions are being developed, aiming to enhance cognitive function, particularly memory consolidation, by improving sleep. Research has shown that Transcranial Alternating Current Stimulation (tACS) during sleep can enhance memory performance, especially when used in a closed-loop (cl-tACS) mode that coordinates
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Disrupted properties of functional brain networks in major depressive disorder during emotional face recognition: an EEG study via graph theory analysis Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-13 Chao-Lin Teng, Lin Cong, Wei Wang, Shan Cheng, Min Wu, Wei-Tao Dang, Min Jia, Jin Ma, Jin Xu, Wen-Dong Hu
Previous neuroimaging studies have revealed abnormal brain networks in patients with major depressive disorder (MDD) in emotional processing. While any cognitive task consists of a series of stages, little is yet known about the topology of functional brain networks in MDD for these stages during emotional face recognition. To address this problem, electroencephalography (EEG)-based functional brain
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The influence of induced moods on aging of phonological encoding in spoken word production: an ERP study Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-13 Lexin Jia, Ruiying Zhao, Qingfang Zhang
This study investigated the influence of induced mood on the phonological encoding involved in Chinese spoken word production with a picture-word inference task while concurrently recorded electrophysiological signals. In the experiment, young and older participants watched videos for inducing positive, negative, or neutral mood, and then they were instructed to name target picture while ignoring phonologically
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How to assess the accuracy of volume conduction models? A validation study with stereotactic EEG data Front Hum Neurosci (IF 2.9) Pub Date : 2024-02-12 Maria Carla Piastra, Robert Oostenveld, Simon Homölle, Biao Han, Qi Chen, Thom Oostendorp
IntroductionVolume conduction models of the human head are used in various neuroscience fields, such as for source reconstruction in EEG and MEG, and for modeling the effects of brain stimulation. Numerous studies have quantified the accuracy and sensitivity of volume conduction models by analyzing the effects of the geometrical and electrical features of the head model, the sensor model, the source