The amygdala and the pursuit of future rewards by S. Tobias Johnson, Fabian Grabenhorst

“…Here we review evidence from single-neuron recordings and neuroimaging studies that implicate the amygdala—a brain structure long associated with cue-reactivity and emotion—in decision-making and the planned pursuit of future rewards (Grabenhorst et al., 2012, 2016, 2019, 2023;Hernadi et al., 2015;Zangemeister et al., 2016). …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…Quasi-periodic patterns (QPPs) are prominent spatiotemporal brain dynamics observed in functional neuroimaging data, reflecting the alternation of high and low activity across brain regions and their propagation along cortical gradients. …”
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Lessons learned from an fMRI-guided rTMS study on performance in a numerical Stroop task. by Lysianne Beynel, Hannah Gura, Zeynab Rezaee, Ekaete C Ekpo, Zhi-De Deng, Janet O Joseph, Paul Taylor, Bruce Luber, Sarah H Lisanby

“…The Stroop task is a well-established tool to investigate the influence of competing visual categories on decision making. Neuroimaging as well as rTMS studies have demonstrated the involvement of parietal structures, particularly the intraparietal sulcus (IPS), in this task. …”
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Spectrum of Intracerebral Hemorrhage in Children: A Report from PICU of a Resource Limited Country by Qalab Abbas, Qurat ul Ain Merchant, Bushra Nasir, Anwar ul Haque, Basit Salam, Gohar Javed

“…Data collected included age, gender, presentation, examination findings, neuroimaging done (CT, MRI, and angiography) management (conservative/intervention), and outcome. …”
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Inside the impulsive brain: a narrative review on the role of neurobiological, hormonal and genetic factors influencing impulsivity in psychiatric disorders by Hannah Raji, Susha Dinesh, Sameer Sharma

“…Abstract This abstract delves into the intricate nature of impulsivity and its ramifications across psychiatric disorders, leveraging advancements in neuroimaging and psychological studies. It elucidates diverse facets of impulsivity, encompassing response, choice, and tendencies, emphasizing its pivotal role in executive functioning and social development. …”
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Structural Brain Changes Associated with Overweight and Obesity by Erick Gómez-Apo, Alejandra Mondragón-Maya, Martina Ferrari-Díaz, Juan Silva-Pereyra

“…This review describes recent findings of neuroimaging and two studies of cell density regarding the roles of overnutrition-induced hypothalamic inflammation in neurodegeneration. …”
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Case Report: Pediatric pontine abscess and ecthyma gangrenosum due to Pseudomonas aeruginosa septicemia by Jonathan Theros, Madison Wolfe, Larry Kociolek, Larry Kociolek, Irini N. Kolaitis, Irini N. Kolaitis

“…Whole-body magnetic resonance imaging revealed an expansile pontine mass; dedicated neuroimaging confirmed a 10 mm pontine abscess. Given the lack of neurological deficits on examination, he was treated non-operatively with intravenous cefepime for 9 weeks followed by oral levofloxacin for 30 days and made a nearly complete clinical recovery. …”
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Peripheral contributions to resting state brain dynamics by Sarah Bricault, Miranda Dawson, Jiyoung Lee, Mitul Desai, Miriam Schwalm, Kevin Sunho Chung, Elizabeth DeTienne, Erinn Fagan, Nan Li, Andrew Becker, Sureshkumar Muthupalani, Jan-Philipp Fränken, Dimitris A. Pinotsis, Alan Jasanoff

“…To test the limits of this assumption, we analyzed peripheral contributions to resting state activity measured by fMRI in unanesthetized, chemically immobilized male rats that emulate human neuroimaging conditions. We find that perturbation of somatosensory input channels modifies correlation strengths that relate somatosensory areas both to one another and to higher-order brain regions, despite the absence of ostensible stimuli or movements. …”
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WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis by Carolyn B. McNabb, Ian D. Driver, Vanessa Hyde, Garin Hughes, Hannah L. Chandler, Hannah Thomas, Christopher Allen, Eirini Messaritaki, Carl J. Hodgetts, Craig Hedge, Maria Engel, Sophie F. Standen, Emma L. Morgan, Elena Stylianopoulou, Svetla Manolova, Lucie Reed, Matthew Ploszajski, Mark Drakesmith, Michael Germuska, Alexander D. Shaw, Lars Mueller, Holly Rossiter, Christopher W. Davies-Jenkins, Tom Lancaster, C. John Evans, David Owen, Gavin Perry, Slawomir Kusmia, Emily Lambe, Adam M. Partridge, Allison Cooper, Peter Hobden, Hanzhang Lu, Kim S. Graham, Andrew D. Lawrence, Richard G. Wise, James T. R. Walters, Petroc Sumner, Krish D. Singh, Derek K. Jones

“…Given the depth of neuroimaging phenotyping, leveraging ultra-high-gradient, high-field MRI, MEG and TMS, this dataset will facilitate multi-scale and multi-modal investigations of the healthy human brain.…”
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A safety and feasibility randomized placebo controlled trial exploring electroencephalographic effective connectivity neurofeedback treatment for fibromyalgia by Lucy Anderson, Dirk De Ridder, Paul Glue, Ramakrishnan Mani, Cindy van Sleeuwen, Mark Smith, Divya Bharatkumar Adhia

“…Abstract Fibromyalgia is a chronic pain condition contributing to significant disability worldwide. Neuroimaging studies identify abnormal effective connectivity between cortical areas responsible for descending pain modulation (pregenual anterior cingulate cortex, pgACC) and sensory components of pain experience (primary somatosensory cortex, S1). …”
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Revealing excitation-inhibition imbalance in Alzheimer’s disease using multiscale neural model inversion of resting-state functional MRI by Guoshi Li, Li-Ming Hsu, Ye Wu, Andrea C. Bozoki, Yen-Yu Ian Shih, Pew-Thian Yap

“…Method In this work, we apply a Multiscale Neural Model Inversion (MNMI) framework to the resting-state functional MRI data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to identify brain regions with disrupted E-I balance in a large network during AD progression. …”
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Case report: Cerebrotendinous Xanthomatosis masquerading as adult ADHD in psychiatric practice by Jongtae Kim, Yun Jeong Hong, Si Baek Lee, Seong Hoon Kim, Myung Ah Lee, Eunbuel Ko, Jeong Wook Park

“…Comprehensive neurological assessments, including neuroimaging and genetic testing, ultimately diagnosed him with CTX. …”
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Neurocognitive Deficits in Individuals at Ultra-High-Risk for Psychosis: An Overview of Systematic Reviews by Farnaz Asadiof, Mona Zamanpour, Ali Fawzi Al-Hussainy, Alhan Abd Al-Hassan Shalal, Mohammed Ubaid, Zinab Aluquaily, Seyed Hamidreza Hashemian

“…Structural and functional neuroimaging studies have further revealed aberrant brain connectivity, reduced gray matter volume, and altered neural activation patterns in key brain regions to be involved in psychosis. …”
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Response to the SAMHSA Clinical Advisory: Considerations for Genetic Testing in the Assessment of Substance Use Disorder Risk by Green RP, Blum K, Lewandrowski KU, Gold MS, Lewandrowski AP, Thanos PK, Dennen CA, Baron D, Elman I, Sharafshah A, Modestino EJ, Badgaiyan RD

“…Louis, Missouri, USA; 8Department of Biological Sciences, Dornsife College of Letters, Arts & Sciences, University of Southern California, Los Angeles, CA, USA; 9Behavioral Neuropharmacology and Neuroimaging Laboratory, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, Clinical Research Institute on Addictions, University at Buffalo, Buffalo, NY, USA; 10Department of Family Medicine, Jefferson Health Northeast, Philadelphia, PA, USA; 11Department of Psychiatry, Stanford University School of Medicine, Palo Alto, CA, USA; 12Department of Psychiatry, Harvard University School of Medicine, Cambridge, MA, USA; 13Cellular and Molecular Research Center, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran; 14Brain & Behavior Laboratory, Department of Psychology, Curry College, Milton, Massachusetts, USA; 15Department of Psychiatry, Texas Tech University Health Sciences, School of Medicine, Midland, TX, USACorrespondence: Rajendra D Badgaiyan; Kenneth Blum, Email badgaiyan@gmail.com; drd2gene@gmail.com…”
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Electroencephalographic markers in Major Depressive Disorder: insights from absolute, relative power, and asymmetry analyses by Mehmet Akif Özçoban, Oğuz Tan

“…This study highlights that beyond the commonly used alpha asymmetry, theta and beta asymmetry can also provide valuable insights into the neurophysiological effects of MDD, aligning with previous neuroimaging studies that indicate impairments in memory, attention, and neuroanatomical connectivity in MDD. …”
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Central Diabetes Insipidus in Children and Adolescents: Twenty-Six Year Experience from a Single Centre by Hüseyin Anil Korkmaz, Ritika R Kapoor, Jennifer Kalitsi, Simon JB Aylwin, Charles R Buchanan, Ved Bhushan Arya

“…Manifestation of CDI in patients with acute CNS insult carries poor prognosis. We affirm that neuroimaging assessment in idiopathic CDI should be continued beyond 3 years from diagnosis as a significant number of patients exhibited progression of infundibular thickening 3 years post-CDI diagnosis.…”
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Hybrid Graph Representation Learning for Carotid Artery Stenosis Detection Based on Multimodal Retinal OCTA Images by Wenting Lan, Jinkui Hao, Shengjun Zhou, Jingfeng Zhang, Shaodong Ma, Yitian Zhao

“…Rapid and precise detection of CAS is crucial for early intervention and reducing ischemic stroke incidence. Neuroimaging techniques, as the gold standard for evaluating cerebral abnormalities in CAS, suffer from limitations including expensive and time-consuming, hindering their use in large-scale screening. …”
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Peripapillary Microvascularization Analysis Using Swept-Source Optical Coherence Tomography Angiography in Optic Chiasmal Compression by Inès Ben Ghezala, Déa Haddad, Julie Blanc, Cyril Meillon, Rachid Madkouri, François Borsotti, Alain M. Bron, Catherine Creuzot-Garcher

“…A cross-sectional study was conducted in 12 patients with chiasmal compression confirmed by neuroimaging. Sixteen healthy participants were also included. …”
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Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review by Arantxa Ortega-Leon, Daniel Urda, Ignacio J. Turias, Simón P. Lubián-López, Simón P. Lubián-López, Isabel Benavente-Fernández, Isabel Benavente-Fernández, Isabel Benavente-Fernández

“…In addition, we explore the potential of ML algorithms and discuss commonly used data sources, including clinical and neuroimaging data. Furthermore, the inclusion of omics data as a contemporary approach employed, in other diagnostic contexts is proposed.ConclusionsWe identified limitations and emphasized the significance of employing multimodal data models and explored various alternatives to address the limitations identified in the reviewed studies. …”
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Extensive Growth of an Anaplastic Meningioma by Hajrullah Ahmeti, Homajoun Maslehaty, Athanasios K. Petridis, Alexandros Doukas, Mehran Mahvash, Harald Barth, H. M. Mehdorn

“…We present the case of a 30-year-old male patient with an almost complete destruction of the calvarial bone through an anaplastic meningioma diagnosed in line with dizziness. Neuroimaging revealed an extensive growing, contrast enhancing lesion expanding at the supra- and infratentorial convexity, infiltrating and destroying large parts of the skull, and infiltrating the skin. …”
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