Article
Behavioral Sciences
Tirso R. J. Gonzalez Alam, Katya Krieger-Redwood, Megan Evans, Grace E. Rice, Jonathan Smallwood, Elizabeth Jefferies
Summary: Contemporary neuroscientific research suggests that the ventral anterior temporal lobe serves as a bilateral semantic hub critical for recognizing unique entities like landmarks and faces. There are graded functional differences between the left and right ATL, related to language versus non-language modalities and categories like people and places. Individual differences in intrinsic connectivity between the left and right ATL may affect semantic categorization performance across different categories and modalities.
Article
Neurosciences
Chunguang Chu, Zhen Zhang, Jiang Wang, Zhen Li, Xiao Shen, Xiaoxuan Han, Lipeng Bai, Chen Liu, Xiaodong Zhu
Summary: The study proposes a novel method to describe the spatiotemporal variability of dynamic functional connectivity networks and develops a classification framework to improve the diagnostic performance of early Parkinson's disease. The results show that the proposed method significantly improves the recognition performance of early Parkinson's disease compared to the traditional sliding window method, indicating that the dynamic spatiotemporal variability of microstate-based brain networks can reflect the pathological changes in the early Parkinson's disease brain. Furthermore, the spatiotemporal variability of the early Parkinson's disease brain network has a specific distribution pattern in different brain regions, which can be quantified as the degree of motor and cognitive impairment.
NPJ PARKINSONS DISEASE
(2023)
Article
Neurosciences
Julien Jung, Romain Bouet, Helene Catenoix, Alexandra Montavont, Jean Isnard, Sebastien Boulogne, Marc Guenot, Philippe Ryvlin, Sylvain Rheims
Summary: PIH occurrence during temporal lobe seizures may be related to the activation of a widespread network of cortical structures, with the amygdala and anterior insula playing a key role.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Xiaoting Huang, Yangsa Du, Danni Guo, Fangfang Xie, Chunyao Zhou
Summary: This study aimed to evaluate the coupling of structural connectivity (SC) and functional connectivity (FC) in the entire brain of healthy controls (HCs) and individuals with temporal lobe epilepsy (TLE). The results showed that TLE patients had lower SC-FC coupling strength in specific brain regions compared to HCs, indicating higher susceptibility to pathological disruption.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Clinical Neurology
Saramati Narasimhan, Hernan F. J. Gonzalez, Graham W. Johnson, Kristin E. Wills, Danika L. Paulo, Victoria L. Morgan, Dario J. Englot
Summary: Evaluating fMRI connectivity between mesial temporal structures and default mode network may aid in lateralization of mesial temporal lobe epilepsy, reduce the need for intracranial monitoring, and guide surgical planning.
JOURNAL OF NEUROSURGERY
(2022)
Article
Behavioral Sciences
Karoline Leiberg, Jane de Tisi, John S. Duncan, Bethany Little, Peter N. Taylor, Sjoerd B. Vos, Gavin P. Winston, Bruno Mota, Yujiang Wang
Summary: Neuroimaging captures brain restructuring after anterior temporal lobe resection (ATLR), a surgical procedure for drug-resistant temporal lobe epilepsy (TLE). This study examines the effects of ATLR on brain morphology, showing significant changes mainly in regions near the resection and structurally connected to the anterior temporal lobe.
Article
Clinical Neurology
Mani Ratnesh S. Sandhu, Mauricio Mandel, Hari McGrath, Layton Lamsam, Pue Farooque, Richard A. Bronen, Dennis D. Spencer, Eyiyemisi C. Damisah
Summary: This study investigated temporal lobe encephaloceles (TLENs) and found that they are one of the causes of medically refractory epilepsy. The study results showed a close relationship between intracranial electrophysiology and imaging findings with TLEN, and surgical resection had good outcomes. After surgery, patients did not exhibit significant neuropsychological deficits.
JOURNAL OF NEUROSURGERY
(2022)
Article
Biology
Ai Phuong S. Tong, Alex P. Vaz, John H. Wittig, Sara K. Inati, Kareem A. Zaghloul
Summary: Direct brain recordings have revealed the presence of fast oscillations in the ripple band in the human temporal cortex, reflecting bursts of underlying neuronal spiking activity. The number and synchrony of ripples in both macro-scale iEEG and micro-scale LFP are related to the synchrony of neuronal spiking activity.
Article
Clinical Neurology
Leonardo Favi Bocca, Thiago Pereira Rodrigues, Thiago Bortholin, Elza Marcia Targas Yacubian, Henrique Carrete Jr, Mirian Guaranha, Ricardo Silva Centeno
Summary: Sotos syndrome is a genetic disorder caused by NSD1 gene haploinsufficiency, with some patients experiencing epilepsy, including drug-resistant seizures. A 47-year-old female patient with Sotos syndrome had focal-onset seizures in the left temporal lobe, left-side hippocampal atrophy, and cognitive impairment. After undergoing left-side temporal lobe resection, the patient achieved complete awake seizure control and significant improvement in quality-of-life during the 3-year follow-up. Resective surgeries may be beneficial for improving seizure control and quality of life in selected patients with Sotos syndrome.
FRONTIERS IN NEUROLOGY
(2023)
Article
Neurosciences
Vivek Dubey, Soumil Dey, Aparna Banerjee Dixit, Manjari Tripathi, P. Sarat Chandra, Jyotirmoy Banerjee
Summary: This study revealed specific alterations in the expression of glutamate receptor subunits and synaptic transmission in the hippocampus and anterior temporal lobe regions of a pilocarpine rat model of TLE, pointing towards potential cellular mechanisms contributing to the formation of independent epileptogenic networks in different temporal lobe structures.
EXPERIMENTAL NEUROLOGY
(2022)
Article
Neurosciences
Eva Balgova, Veronica Diveica, Jon Walbrin, Richard J. Binney
Summary: A key challenge in neurobiological models of social cognition is to determine whether certain brain regions are specialized for social processing. This study used ATL-optimized fMRI to investigate the contribution of different ATL structures to theory of mind (ToM) in social cognition. The results revealed that a key ventrolateral ATL region, often undetectable with standard fMRI, was activated across multiple tasks.
HUMAN BRAIN MAPPING
(2022)
Article
Biology
Timothy T. Rogers, Christopher R. Cox, Qihong Lu, Akihiro Shimotake, Takayuki Kikuchi, Takeharu Kunieda, Susumu Miyamoto, Ryosuke Takahashi, Akio Ikeda, Riki Matsumoto, Matthew A. Lambon Ralph
Summary: The study reconciles two seemingly contradictory views on how the human brain encodes semantic information about objects. It finds that information about the animacy of a stimulus is distributed across ventral temporal cortex in a dynamic code with feature-like elements posteriorly but rapidly changing and nonlinear elements in anterior regions. This suggests that anterior temporal lobes may serve as a deep cross-modal 'hub' in an interactive semantic network, and that tertiary association cortices may adopt dynamic distributed codes difficult to detect with common brain imaging methods.
Article
Clinical Neurology
Olivia Foesleitner, Benjamin Sigl, Victor Schmidbauer, Karl-Heinz Nenning, Ekaterina Pataraia, Lisa Bartha-Doering, Christoph Baumgartner, Susanne Pirker, Doris Moser, Michelle Schwarz, Johannes A. Hainfellner, Thomas Czech, Christian Dorfer, Georg Langs, Daniela Prayer, Silvia Bonelli, Gregor Kasprian
Summary: Epilepsy surgery is a recommended treatment for drug-resistant temporal lobe epilepsy, but can lead to postoperative language impairment. This study found widespread bilateral remodeling of language networks after surgery, with specific patterns in left and right TLE. Contralateral language recruitment before surgery is associated with better language outcomes post-surgery in both left and right TLE.
JOURNAL OF NEUROSURGERY
(2021)
Article
Neuroimaging
Zhensheng Li, Che Jiang, Wei Xiang, Zijuan Qi, Quwen Gao, Kairun Peng, Jian Lin, Wei Wang, Weimin Wang, Bingmei Deng
Summary: This study categorized subtypes of unilateral temporal lobe epilepsy based on brain structural connectivity patterns using voxel based morphometry and surface based morphometry analysis. The findings revealed correlations between principal components representing different connectivity patterns and clinical characteristics such as verbal IQ, total IQ, disease duration, age at onset, and number of antiepileptic drugs. These results provide insights into the pathophysiology of epilepsy and may aid in predicting treatment outcomes.
BRAIN IMAGING AND BEHAVIOR
(2022)
Article
Mathematics, Applied
B. R. Rakshith, Kinkar Chandra Das
Summary: This paper investigates the problem of determining a graph by its distance Laplacian spectrum. It is proven that the distance Laplacian spectrum of a complete k-partite graph is unique. Furthermore, the distance Laplacian spectral determination of a complete k-partite graph with edge addition is studied, and it is shown that graphs whose complements are disconnected and determined by their Laplacian spectra also have distance Laplacian spectral determination.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Neurosciences
Karen Lopez-Diaz, James Henshaw, Alexander J. Casson, Christopher A. Brown, Jason R. Taylor, Nelson J. Trujillo-Barreto, Laura J. Arendsen, Anthony K. P. Jones, Manoj Sivan
Summary: One-third of the population in the UK and worldwide suffer from chronic pain. Entraining brain alpha activity through visual stimulation has been shown to reduce experimental pain in healthy volunteers. This study demonstrates that changes in alpha power resulting from entrainment are correlated with an analgesic response in patients with chronic pain.
Article
Neurosciences
Kajal Patel, James Henshaw, Heather Sutherland, Jason R. Taylor, Alexander J. Casson, Karen Lopez-Diaz, Christopher A. Brown, Anthony K. P. Jones, Manoj Sivan, Nelson J. Trujillo-Barreto
Summary: The study found a significant correlation between the dynamic changes in alpha state parameters during alpha-NFB treatment and the changes in pain scores in chronic pain patients.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Cameron Manning, Michael Stringer, Ben Dickie, Una Clancy, Maria C. Valdes Hernandez, Stewart J. Wiseman, Daniela Jaime Garcia, Eleni Sakka, Walter H. Backes, Michael Ingrisch, Francesca Chappell, Fergus Doubal, Craig Buckley, Laura M. Parkes, Geoff J. M. Parker, Ian Marshall, Joanna M. Wardlaw, Michael J. Thrippleton
Summary: This study aimed to investigate systematic errors in quantification of blood-brain barrier (BBB) leakage and propose modifications to reduce these errors. Through simulations and experiments, it was found that modifications play a crucial role in reducing errors and improving accuracy in studies of neurodegenerative diseases involving subtle BBB breakdown.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
John J. McFadden, Julian C. Matthews, Lauren A. Scott, Geoff J. M. Parker, Maelene Lohezic, Laura M. Parkes
Summary: The final echo time was found to have no significant effect on OEF, while voxel size had a significant impact, with larger voxel sizes underestimating OEF. The last step of estimating vein OEF values from susceptibility images had the largest dependency on voxel size.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Review
Neurosciences
Danka Jandric, Anisha Doshi, Richelle Scott, David Paling, David Rog, Jeremy Chataway, Menno M. Schoonheim, Geoff Parker, Nils Muhlert
Summary: There is an association between cognitive impairment in multiple sclerosis (MS) and functional connectivity (FC) abnormalities measured by resting-state functional MRI (rs-fMRI), with both high and low FC being linked to cognitive dysfunction. The choice of methodology may influence the observed findings.
BRAIN CONNECTIVITY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sirisha Tadimalla, Daniel J. Wilson, David Shelley, Gavin Bainbridge, Margaret Saysell, Iosif A. Mendichovszky, Martin J. Graves, J. Ashley Guthrie, John C. Waterton, Geoffrey J. M. Parker, Steven P. Sourbron
Summary: This study aimed to measure the bias, repeatability, and reproducibility of three-dimensional variable flip angle (VFA) T-1 mapping in the liver. By scanning eight healthy volunteers twice, the study found that the bias and repeatability of VFA T-1 mapping in the liver are high, with small relative errors, similar to findings in other organs.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Joseph Cheriyan, Alexandra Roberts, Caleb Roberts, Martin J. Graves, Ilse Patterson, Rhys A. Slough, Rosemary Schroyer, Disala Fernando, Subramanya Kumar, Sarah Lee, Geoffrey J. M. Parker, Lea Sarov-Blat, Carmel McEniery, Jessica Middlemiss, Dennis Sprecher, Robert L. Janiczek
Summary: This study aimed to evaluate lung fluid volume in HF patients using DCE-MRI, finding significantly higher v(e) in HF patients compared to healthy volunteers. The results showed good tolerability of the scanning protocol and repeatability of v(e) in HF patients.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Anatomy & Morphology
Keith George Ciantar, Christine Farrugia, Paola Galdi, Kenneth Scerri, Ting Xu, Claude J. Bajada
Summary: In this study, we identify a problem with the volume-to-surface mapping process in functional Magnetic Resonance Imaging (fMRI) data, which affects local connectivity analysis. We demonstrate that neighborhood correlations on the brain surface vary spatially with the gyral structure, even when the underlying volumetric data is uncorrelated noise. This could potentially impact studies focusing on local neighborhood connectivity, but we propose several measures to mitigate these unwanted effects.
BRAIN STRUCTURE & FUNCTION
(2022)
Article
Endocrinology & Metabolism
Ben R. Dickie, Tao Jin, Ping Wang, Rainer Hinz, William Harris, Herve Boutin, Geoff J. M. Parker, Laura M. Parkes, Julian C. Matthews
Summary: Chemical-exchange spin-lock (CESL) MRI is a useful technique for mapping glucose uptake and utilization in the brain. The study proposes two quantitative kinetic models to describe glucose-induced changes and applies them to tumor-bearing and healthy rats.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2022)
Article
Neurosciences
Claude J. Bajada, Robert E. Smith, Svenja Caspers
Summary: In this article, a case study is presented to illustrate a situation where a bug was introduced in a neuroimaging software package due to a feature request, resulting in consequences for the quality of results in a published article. The process of diagnosis, rectification, and analysis replication is discussed.
Meeting Abstract
Oncology
M. Dubec, R. A. Little, D. L. Buckley, C. Hague, J. Price, M. Berks, S. Cheung, A. Salah, D. Higgins, J. H. Naish, J. C. Matthews, M. van Herk, G. J. Parker, A. McPartlin, J. P. O'Connor
RADIOTHERAPY AND ONCOLOGY
(2022)
Meeting Abstract
Oncology
M. Dubec, A. Datta, A. Clough, D. L. Buckley, R. A. Little, M. Berks, S. Cheung, C. Eccles, D. Higgins, J. H. Naish, J. C. Matthews, M. van Herk, R. G. Bristow, G. J. Parker, P. Hoskin, A. McPartlin, A. Choudhury, J. P. O'Connor
RADIOTHERAPY AND ONCOLOGY
(2022)
Meeting Abstract
Clinical Neurology
D. Jandric, D. Lewis, D. McHugh, L. Parkes, H. Haroon, D. Rog, D. Paling, G. J. M. Parker, N. Muhlert
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Neuroimaging
Danka Jandric, Geoff J. M. Parker, Hamied Haroon, Valentina Tomassini, Nils Muhlert, Ilona Lipp
Summary: Understanding the brain changes underlying cognitive dysfunction in multiple sclerosis (MS) is crucial for improving monitoring and treatment. This study explored the relationship between changes in white matter and cognitive symptoms, using a tractometry approach. The findings revealed a main covariance pattern that explained the most variance in microstructure across all white matter tracts. This covariance pattern contributed to explaining a moderate degree of variance in one cognitive domain in MS. These findings emphasize the importance of investigating the relationship between normal appearing white matter and cognitive impairment in MS.
NEUROIMAGE-CLINICAL
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Zachary M. C. Baum, Ester Bonmati, Lorenzo Cristoni, Andrew Walden, Ferran Prados, Baris Kanber, Dean C. Barratt, David J. Hawkes, Geoff J. M. Parker, Claudia A. M. Gandini Wheeler-Kingshott, Yipeng Hu
Summary: A novel two-stage computer assistance system using deep learning models was developed to improve operator performance and patient stratification during coronavirus pandemics. The system includes a quality assessment module and a diagnosis assistance module, with a closed-loop feedback mechanism ensuring data quality. Results demonstrate high accuracy and sensitivity in detecting COVID-19-positive cases using this system.
MEDICAL IMAGING 2021: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING
(2021)
Article
Behavioral Sciences
Andrea Gajardo-Vidal, Maxime Montembeault, Diego L. Lorca-Puls, Abigail E. Licata, Rian Bogley, Sabrina Erlhoff, Buddhika Ratnasiri, Zoe Ezzes, Giovanni Battistella, Elena Tsoy, Christa Watson Pereira, Jessica Deleon, Boon Lead Tee, Maya L. Henry, Zachary A. Miller, Katherine P. Rankin, Maria Luisa Mandelli, Katherine L. Possin, Maria Luisa Gorno-Tempini
Summary: This study investigates the potential differences in processing speed and neural correlates among the three variants of Primary Progressive Aphasia (PPA). The findings reveal that non-verbal cognitive abilities, such as processing speed, are significantly impacted in nfvPPA and lvPPA patients compared to healthy controls and svPPA patients. Neuroimaging results confirm the importance of fronto-parietal regions associated with processing speed and executive control.
Article
Behavioral Sciences
Holger Wiese, Tsvetomila Popova, Maya Schipper, Deni Zakriev, Mike Burton, Andrew W. Young
Summary: Previous experiments have shown that brief exposure to unfamiliar individuals leads to the formation of new facial representations, which undergo changes and consolidation within the first day after learning.
Article
Behavioral Sciences
Astrid Prochnow, Xianzhen Zhou, Foroogh Ghorbani, Paul Wendiggensen, Veit Roessner, Bernhard Hommel, Christian Beste
Summary: Individuals organize events in their environment by partitioning them into discrete units. This study reveals that the neural activity in the brain plays a critical role in this process, reflecting the key elements of event segmentation.
Article
Behavioral Sciences
Zhenzhen Huo, Zhiyi Chen, Rong Zhang, Junye Xu, Tingyong Feng
Summary: Procrastination has adverse effects on personal growth and social development. Reward sensitivity is positively correlated with procrastination. This study used VBM and RSFC analyses to investigate the neural substrates underlying the association between reward sensitivity and procrastination. The results showed that the functional connectivity of the right parahippocampal gyrus-precuneus mediated the relationship between reward sensitivity and procrastination.
Article
Behavioral Sciences
Stefano Lasaponara, Gabriele Scozia, Silvana Lozito, Mario Pinto, David Conversi, Marco Costanzi, Tim Vriens, Massimo Silvetti, Fabrizio Doricchi
Summary: Cholinergic (Ach), Noradrenergic (NE), and Dopaminergic (DA) pathways are crucial in regulating spatial attention and determining inter-individual differences in temperamental traits. This study found that temperamental traits predict individual differences in the ability to orient spatial attention based on the probabilistic association between cues and targets. These findings highlight the importance of considering temperamental and personality traits in social and professional environments where attention control is essential.
Article
Behavioral Sciences
Darren J. Yeo, Courtney Pollack, Benjamin N. Conrad, Gavin R. Price
Summary: The processing of numerals as visual objects is supported by an Inferior Temporal Numeral Area (ITNA) in the bilateral inferior temporal gyri (ITG). Extant findings suggest some degree of hemispheric asymmetry in how the bilateral ITNAs process numerals. The study found that digit sensitivity did not differ between ITNAs, and digit sensitivity in both left and right ITNAs was associated with calculation skills. The study also revealed a right lateralization in engagement in alphanumeric categorization, and that the right ITNA showed greater discriminability between digits and letters.
Review
Behavioral Sciences
Beste Gulsuna, Abuzer Gungor, Alp O. Borcer, Ugur Ture
Summary: The fiber dissection technique has been used to study the internal structures of the brain, with less focus on white matter. The sagittal stratum, a white matter structure, has not received enough attention and has been a subject of controversy. Recent studies suggest potential functions of the sagittal stratum, emphasizing the importance of understanding this structure accurately.
Article
Behavioral Sciences
Nora Geiser, Brigitte Charlotte Kaufmann, Samuel Elia Johannes Knobel, Dario Cazzoli, Tobias Nef, Thomas Nyffeler
Summary: This study compared the effects of auditory and visual motion stimulation on spatial neglect and found that both interventions were equally effective in improving neglect. Multimodal motion stimulation also improved neglect, but did not show greater improvement than unimodal auditory or visual motion stimulation alone.
Article
Behavioral Sciences
Anna E. Hughes, Anna Nowakowska, Alasdair D. F. Clarke
Summary: This study examines the relationship between search slopes and search efficiency in visual search tasks, introduces the Target Contrast Signal (TCS) Theory, and extends it to a Bayesian multi-level framework. The findings demonstrate that TCS can predict data well, but distinguishing between contrast combination models proves to be difficult.