Neuroimaging Tools Research Articles

Cognitive and Neurolinguistic Aspects of Advertising Discourse Perception

This study examines how cognitive and neurolinguistic mechanisms influence consumer behavior and decision-making in advertising. It explores the roles of attentional salience, memory encoding, and emotional responses in shaping how advertisements affect audiences. Attention is critical, driven by visual stimuli (e.g., colors, motion) and top-down processes based on personal goals and cultural relevance. Memory encoding is supported through repetition, rhyme, and the integration of verbal and visual cues, while emotional triggers engage the amygdala, enhancing retention. Neurolinguistic techniques, such as semantic priming, create subconscious associations between words, images, and brand values, accelerating comprehension and promoting positive perceptions. For example, luxury brands use semantic cues to suggest exclusivity, while metaphors activate sensory and cognitive areas, strengthening engagement. Additionally, advertising content is processed through hemispheric lateralization, with the left hemisphere focusing on linguistic aspects and the right hemisphere processing visuals and emotions. This study underscores the significance of incorporating these cognitive and neurolinguistic principles into advertising. Examples include Coca-Cola’s use of visual icons for universal attention, Nike’s use of memorable slogans for retention, and Dove’s emotional appeals for loyalty. Also, culturally tailored approaches, such as aligning metaphors with societal norms, enhance relevance across diverse audiences. The research suggests using neuroimaging tools, like fMRI and EEG, to identify neural correlates of engagement. It emphasizes the potential of machine learning and neuromarketing in customizing advertisements based on individual neural responses. Integrating these principles can help create emotionally and cognitively impactful campaigns.

Pediatric Emergency Medicine Physicians' Perspectives of Concussion in Young Children.

Traumatic brain injury (TBI) during early childhood (before 6 years) is prevalent, accounting for rising rates of emergency department visits. These injuries may lead to postconcussive symptoms, which may be subtle and difficult to diagnose in young children. Inadequate discharge counseling may lead to prolonged duration of symptoms and possible developmental delays. We aimed to explore pediatric emergency medicine (PEM) physicians' perspectives on "concussion" terminology, diagnosis, and management, specifically in a young child with mild TBI. We conducted semistructured interviews using open-ended questions involving a hypothetical scenario. We recruited currently practicing PEM physicians by a snowball sampling method. A research team recorded, transcribed, and analyzed the interviews. Using social constructionism as the philosophical framework, we developed and refined codes and derived themes until reaching thematic saturation. Peer debriefing with an expert collaborator aided with revisions of themes. A single PEM researcher interviewed 13 participants. Three primary themes emerged. Our first theme identified the role of guidelines and tools in the diagnostic workup. Most participants utilized a clinical prediction tool for neuroimaging but no clinical symptom scales. Our second theme described the difficulties and inconsistencies in the approach to diagnosis of concussion, largely due to young age, lack of verbal skills and unreliable examinations. Our last theme focused on the difficulty in providing clear discharge instructions to parents. Many participants described difficulty providing activity restrictions, instead allowing self-modulation, and lack of counseling for educational tasks. Variability exists among PEM physicians in diagnosis and management of concussions in young children. Discomfort with lack of reliability of symptoms and underappreciation of typical early childhood characteristics may account for findings. Educational initiatives, age-appropriate clinical tools and treatment-guided outcomes research are needed to guide PEM physicians in the care of young children with head injuries.

Neuroimaging in Dementia.

This article captures the current literature regarding the use of neuroimaging measures to study neurodegenerative diseases, including early- and late-onset Alzheimer disease, vascular cognitive impairment, frontotemporal lobar degeneration disorders, dementia with Lewy bodies, and Parkinson disease dementia. In particular, the article highlights significant recent changes in novel therapeutics now available for the treatment of Alzheimer disease and in defining neurodegenerative disease using biological frameworks. Studies summarized include those using structural and functional MRI (fMRI) techniques, as well as metabolic and molecular emission tomography imaging (ie, positron emission tomography [PET] and single-photon emission computerized tomography [SPECT]). Neuroimaging measures are considered essential biomarkers for the detection and diagnosis of most neurodegenerative diseases. The recent approval of anti-amyloid antibody therapies has highlighted the importance of MRI and PET techniques in treatment eligibility and monitoring for associated side effects. Given the success of the initial biomarker-based classification system for Alzheimer disease (the amyloid, tau, neurodegeneration [A/T/N] framework), researchers in vascular cognitive impairment have created similar techniques for biomarker-based diagnosis. Further, the A/T/N framework for Alzheimer disease has been updated to include several pathologic targets for biomarker detection. Neurodegenerative diseases have a major health impact on millions of patients around the world. Neuroimaging biomarkers are rapidly becoming major diagnostic tools for the detection, monitoring, and treatment of neurodegenerative diseases. This article educates readers about the current literature surrounding the use of neuroimaging tools in neurodegenerative diseases along with recent important developments in the field.

Adult Neurogenesis: A Review of Current Perspectives and Implications for Neuroscience Research

Background: The study of new neuron formation in the adult brain has sparked controversy and ignited interest among scientists in recent times, these include its occurrence and location in the adult human brain, functional significance, variation in study methods, translation from animal model to human, and ethical challenges involving neural stem cell research. Aim: To provide a comprehensive understanding of adult neurogenesis, functional significance, and challenges and explore the latest advances in the study of adult neurogenesis. Methodology: An extensive and systematic search of electronic databases (Medline, Scopus, Web of Science) was conducted using keywords related to adult neurogenesis and techniques involved in its study. Results: The mechanism of adult neurogenesis was found to occur in specific brain regions such as the subgranular zone of the dentate gyrus and subventricular zone of the lateral ventricle. Adult neurogenesis is vital neural plasticity, providing a potential mechanism for the brain to adapt and reorganize in response to environmental cues and experiences. Cutting-edge research and sophisticated imaging techniques, such as two-photon microscopy, MRI, optogenetic, and stem-cell-based therapies have provided deeper insight into the study of adult neurogenesis. Conclusion: The study of neurogenesis is important for understanding nervous system development, physiology, pathology, and exploring neuroplasticity. Its advancement is challenged by some ethical concerns regarding embryonic, pluripotent stem cells, and the need for safe, and noninvasive study methods. Although recent breakthroughs in neuroimaging, microscopic techniques, and genetic tools are aiding real-time study of adult neurogenesis.

OpenMAP-T1: A Rapid Deep-Learning Approach to Parcellate 280 Anatomical Regions to Cover the Whole Brain.

This study introduces OpenMAP-T1, a deep-learning-based method for rapid and accurate whole-brain parcellation in T1-weighted brain MRI, which aims to overcome the limitations of conventional normalization-to-atlas-based approaches and multi-atlas label-fusion (MALF) techniques. Brain image parcellation is a fundamental process in neuroscientific and clinical research, enabling a detailed analysis of specific cerebral regions. Normalization-to-atlas-based methods have been employed for this task, but they face limitations due to variations in brain morphology, especially in pathological conditions. The MALF techniques improved the accuracy of the image parcellation and robustness to variations in brain morphology, but at the cost of high computational demand that requires a lengthy processing time. OpenMAP-T1 integrates several convolutional neural network models across six phases: preprocessing; cropping; skull-stripping; parcellation; hemisphere segmentation; and final merging. This process involves standardizing MRI images, isolating the brain tissue, and parcellating it into 280 anatomical structures that cover the whole brain, including detailed gray and white matter structures, while simplifying the parcellation processes and incorporating robust training to handle various scan types and conditions. The OpenMAP-T1 was validated on the Johns Hopkins University atlas library and eight available open resources, including real-world clinical images, and the demonstration of robustness across different datasets with variations in scanner types, magnetic field strengths, and image processing techniques, such as defacing. Compared with existing methods, OpenMAP-T1 significantly reduced the processing time per image from several hours to less than 90 s without compromising accuracy. It was particularly effective in handling images with intensity inhomogeneity and varying head positions, conditions commonly seen in clinical settings. The adaptability of OpenMAP-T1 to a wide range of MRI datasets and its robustness to various scan conditions highlight its potential as a versatile tool in neuroimaging.

Quantitative Analysis of White Matter Hyperintensities as a Predictor of 1-Year Risk for Ischemic Stroke Recurrence.

This study evaluates the role of quantitative characteristics of white matter hyperintensities (WMHs) in predicting the 1-year recurrence risk of ischemic stroke. We conducted a retrospective analysis of 1061 patients with ischemic stroke from January 2018 to April 2021. WMHs were automatically segmented using a cluster-based method to quantify their volume and number of clusters (NoC). Additionally, two radiologists independently rated periventricular and deep WMHs using the Fazekas scale. The cohort was divided into a training set (70%) and a testing set (30%). We employed Cox proportional hazards models to develop predictors based on quantitative WMH characteristics, Fazekas scores, and clinical factors, and compared their performance using the concordance index (C-index). A total of 180 quantitative variables related to WMHs were extracted. A higher NoC in deep white matter and brainstem, advanced age (>90years old), specific stroke subtypes, and absence of discharge antiplatelets showed stronger associations with the risk of ischemic stroke recurrence within 1year. The nomogram incorporating quantitative WMHs data showed superior discrimination compared to those based on the Fazekas scale or clinical factors alone, with C-index values of 0.709 versus 0.647 and 0.648, respectively, in the testing set. Notably, a combined model including both WMHs and clinical factors achieved the highest predictive accuracy, with a C-index of 0.735 in the testing set. Quantitative assessment of WMHs provides a valuable neuro-imaging tool for enhancing the prediction of ischemic stroke recurrence risk.

Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging - A Symposium Review.

Advances in the spatiotemporal resolution and field-of-view of neuroimaging tools are driving mesoscale studies for translational neuroscience. On October 10, 2023, the Center for Mesoscale Mapping (CMM) at the Massachusetts General Hospital (MGH) Athinoula A. Martinos Center for Biomedical Imaging and the Massachusetts Institute of Technology (MIT) Health Sciences Technology based Neuroimaging Training Program (NTP) hosted a symposium exploring the state-of-the-art in this rapidly growing area of research. "Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging" brought together researchers who use a broad range of imaging techniques to study brain structure and function at the convergence of the microscopic and macroscopic scales. The day-long event centered on areas in which the CMM has established expertise, including the development of emerging technologies and their application to clinical translational needs and basic neuroscience questions. The in-person symposium welcomed more than 150 attendees, including 57 faculty members, 61 postdoctoral fellows, 35 students, and four industry professionals, who represented institutions at the local, regional, and international levels. The symposium also served the training goals of both the CMM and the NTP. The event content, organization, and format were planned collaboratively by the faculty and trainees. Many CMM faculty presented or participated in a panel discussion, thus contributing to the dissemination of both the technologies they have developed under the auspices of the CMM and the findings they have obtained using those technologies. NTP trainees who benefited from the symposium included those who helped to organize the symposium and/or presented posters and gave "flash" oral presentations. In addition to gaining experience from presenting their work, they had opportunities throughout the day to engage in one-on-one discussions with visiting scientists and other faculty, potentially opening the door to future collaborations. The symposium presentations provided a deep exploration of the many technological advances enabling progress in structural and functional mesoscale brain imaging. Finally, students worked closely with the presenting faculty to develop this report summarizing the content of the symposium and putting it in the broader context of the current state of the field to share with the scientific community. We note that the references cited here include conference abstracts corresponding to the symposium poster presentations.

Capillary-scale Microvessel Imaging with High-frequency Ultrasound Localization Microscopy in Mouse Brain.

Ultrasound localization microscopy is a super-resolution vascular imaging technique which has garnered substantial interest as a tool for small animal neuroimaging, neuroscience research, and the characterization of vascular pathologies. In the pursuit of increasingly high-fidelity reconstructions of microvasculature, there remains several outstanding questions concerning this sub-diffraction imaging technology, including the accurate reconstruction of microvessels approaching the capillary scale and the pragmatic challenges associated with long data acquisition times. In the context of small animal neurovascular imaging, we posit that increasing the ultrasound imaging frequency is a straightforward approach to enable higher concentrations of microbubble contrast agents, thus increasing the likelihood of microvascular/capillary mapping and decreasing the imaging duration. We demonstrate that higher frequency imaging results in improved ULM fidelity and more efficient microbubble localization due to a smaller microbubble point-spread function that is easier to localize, and which can achieve a higher localizable concentration within the same unit volume of tissue. A select example of in vivo capillary-level vascular reconstruction is demonstrated for the highest frequency imaging probe, which has substantial implications for neuroscientists investigating microvascular function in disease states, regulation, and brain development. High frequency ULM yielding a spatial resolution of 7.1μm, as measured by Fourier ring correlation, throughout the entire depth of the brain, highlighting this technology as a highly relevant tool for neuroimaging research.

Superconducting Self-Shielded and Zero-Boil-Off Magnetoencephalogram Systems: A Dry Phantom Evaluation.

Magnetoencephalography (MEG) systems are advanced neuroimaging tools used to measure the magnetic fields produced by neuronal activity in the human brain. However, they require significant amounts of liquid helium to keep the superconducting quantum interference device (SQUID) sensors in a stable superconducting state. Additionally, MEG systems must be installed in a magnetically shielded room to minimize interference from external magnetic fields. We have developed an advanced MEG system that incorporates a superconducting magnetic shield and a zero-boil-off system. This system overcomes the typical limitations of traditional MEG systems, such as the frequent need for liquid helium refills and the spatial constraints imposed by magnetically shielded rooms. To validate the system, we conducted an evaluation using signal source estimation. This involved a phantom with 50 current sources of known location and magnitude under active zero-boil-off conditions. Our evaluations focused on the precision of the magnetic field distribution and the quantification of estimation errors. We achieved a consistent magnetic field distribution that matched the source current, maintaining an estimation error margin within 3.5 mm, regardless of the frequency of the signal source current. These findings affirm the practicality and efficacy of the system.

Integrating Classical Yoga and Modern Psychology: Insights from Neuroimaging and AI on Mind Transformation

Yoga is traditionally understood as a holistic practice that integrates physical, mental, and spiritual development. This paper explores how classical yoga concepts align with modern psychological research, emphasizing insights gained through neuroimaging and artificial intelligence (AI). By analyzing the stages of the mind, its modifications, and psychological afflictions from both traditional and contemporary perspectives, this study provides a comprehensive understanding of yoga’s impact on mental and emotional transformation. The integration of neuroimaging techniques and AI tools offers new ways to examine and enhance the efficacy of yoga practices in promoting mental clarity and emotional well-being.

A Survey on the Management of Patients with Severe Traumatic Brain Injury During Pregnancy: The MAMA Study.

Trauma, including traumatic brain injury (TBI), is the leading cause of nonobstetric maternal mortality during pregnancy. Few data are available regarding the optimal management of pregnant patients with TBI, leading to a lack of dedicated guidelines. We performed an international survey to examine the management of severe TBI in pregnant patients, focusing on monitoring, therapy, and intensive care practices. This survey, endorsed by the World Society of Emergency Surgery, was composed of a questionnaire with 79 items divided into four sections: (1) general information (items 1-7), (2) management of the maternal-fetal unit (items 8-43), (3) management of intracranial hypertension (items 44-76), and (4) specific considerations (items 77-79). One hundred and twenty-two physicians from 110 centers in 35 countries responded. The main findings related to TBI care in pregnant patients included the following: (1) a lack of availability of a specific TBI protocol in pregnancy; (2) an increase in the utilization of magnetic resonance imaging as the primary neuroimaging tool; (3) higher hemoglobin thresholds for transfusion; and (4) a lower utilization of therapeutic hypothermia, neuromuscular blocking agents, and barbiturate coma. We also report large variability in the timing of cesarean section in pregnant patients with TBI (≥ 23weeks of gestation) needing an emergency craniotomy (simultaneously 23% vs. later cesarean section 50.8%). Great variability in the management of pregnant patients with severe TBI was identified worldwide from the results of our survey. These findings, highlighting the lack of robust evidence on this topic, will be helpful to stimulate future investigations and to promote educational efforts on this difficult scenario.

Results of surgical treatment of posterior cranial fossa meningiomas

Surgery of meningiomas of the posterior cranial fossa, due to its small volume and close anatomical relationship of neoplasms with the brain stem, cranial nerves, main arteries and venous collectors, remains one of the urgent problems of neurooncology. Despite the improvement of microsurgical techniques and neurophysiological control, maintaining a high level of quality of life after radical removal of meningiomas is still far from desired. Purpose of the study. Retrospective analysis and generalization of clinical results of surgical treatment of patients with meningiomas of the posterior cranial fossa. Material and methods. The paper analyzes the results of surgical treatment of 101 patient with meningiomas of the posterior cranial fossa of various localization (80 women (79.2 %) and 21 men (20.7 %), age 58.26 ± 1.00 years). According to the localization of meningiomas, they were distributed as follows: convexital – 49 (48.5 %), cerebellopontine angle – 22 (21.8 %), jugular foramen – 4 (4 %), petroclival – 16 (15.8 %), foramen magnum – 10 (9.9 %). Results. All patients underwent surgical removal of the formation. In 99 (98 %) one-stage and in 2 (1.9 %) cases of additional surgical intervention, in the form of external drainage according to Arendt and ventriculoperitoneal shunting, due to frolicking liquorodynamic disorders. Radical removal of meningioma (grade I according to Simpson scale) was achieved in 72 (71.3 %) of cases, tumor resection with coagulation of the tumor matrix zone (Simpson II) – in 21 (20.8 %), removal without resection and coagulation of the matrix, or leaving the extradural component of meningiomas (Simpson III) – in 8 (7.9 %). Conclusions. The results obtained on the basis of the complex use of modern neuroimaging diagnostic tools, microneurosurgery, optimal surgical approaches in combination with the mandatory intraoperative physiological control of the function of the brain stem and cranial nerves in the early postoperative period indicate an improvement in the functional state, and sometimes complete regression of the neurological symptoms in 58 (57.4 %) of operated patients. Complete regression of symptoms and restoration of the functional state was achieved in 30 (29.7 %) of cases, deterioration was noted in 17 (16.8 %) of the operated patients, mortality was 4.95 % (n = 5).

Neuroimaging in Nonsyndromic Craniosynostosis: Key Concepts to Unlock Innovation.

Craniosynostoses (CRS) are caused by the premature fusion of one or more cranial sutures, with isolated nonsyndromic CRS accounting for most of the clinical manifestations. Such premature suture fusion impacts both skull and brain morphology and involves regions far beyond the immediate area of fusion. The combined use of different neuroimaging tools allows for an accurate depiction of the most prominent clinical-radiological features in nonsyndromic CRS but can also contribute to a deeper investigation of more subtle alterations in the underlying nervous tissue organization that may impact normal brain development. This review paper aims to provide a comprehensive framework for a better understanding of the present and future potential applications of neuroimaging techniques for evaluating nonsyndromic CRS, highlighting strategies for optimizing their use in clinical practice and offering an overview of the most relevant technological advancements in terms of diagnostic performance, radiation exposure, and cost-effectiveness.

Neuroimaging in neuromarketing: research traditions and concerns on methodology, ethics, and consciousness

ABSTRACT Marketing researchers use neuroimaging tools to identify brain activity that possibly occurs in response to experimental stimuli and before the formation of consumer attitudes and effective behavior. However, scholars are still trying to understand those causal links as well as how to use such knowledge for the benefit of market relations. We reviewed the literature on the effective use of neuroimaging in neuromarketing research to organize that literature according to research traditions and concerns on methodology, ethics, and consciousness, as well as in how it fits the editorial tradition of the Journal of Marketing Theory and Practice.

The Injury Progression in Acute Blast-Induced Mild Traumatic Brain Injury in Rats Reflected by Diffusion Tensor Imaging and Immunohistochemical Examination.

Diffusion tensor imaging (DTI) has emerged as a promising neuroimaging tool for detecting blast-induced mild traumatic brain injury (bmTBI). However, lack of refined acute-phase monitoring and reliable imaging biomarkers hindered its clinical application in early diagnosis of bmTBI, leading to potential long-term disability of patients. In this study, we used DTI in a rat model of bmTBI generated by exposing to single lateral blast waves (151.16 and 349.75 kPa, lasting 47.48 ms) released in a confined bioshock tube, to investigate whole-brain DTI changes at 1, 3, and 7 days after injury. Combined assessment of immunohistochemical analysis, transmission electron microscopy, and behavioral readouts allowed for linking DTI changes to synchronous cellular damages and identifying stable imaging biomarkers. The corpus callosum (CC) and brainstem were identified as predominantly affected regions, in which reduced fractional anisotropy (FA) was detected as early as the first day after injury, with a maximum decline occurring at 3 days post-injury before returning to near normal levels by 7 days. Axial diffusivity (AD) values within the CC and brainstem also significantly reduced at 3 days post-injury. In contrast, the radial diffusivity (RD) in the CC showed acute elevation, peaking at 3 days after injury before normalizing by the 7-day time point. Damages to nerve fibers, including demyelination and axonal degeneration, progressed in lines with changes in DTI parameters, supporting a real-time macroscopic reflection of microscopic neuronal fiber injury by DTI. The most sensitive biomarker was identified as a decrease in FA, AD, and an increase in RD within the CC on the third day after injury, supporting the diagnostic utility of DTI in cases of bmTBI in the acute phase.

Functional ultrasound imaging and neuronal activity: how accurate is the spatiotemporal match?

Over the last decade, functional ultrasound (fUS) has risen as a critical tool in functional neuroimaging, leveraging hemodynamic changes to infer neural activity indirectly. Recent studies have established a strong correlation between neural spike rates (SR) and functional ultrasound signals. However, understanding their spatial distribution and variability across different brain areas is required to thoroughly interpret fUS signals. In this regard, we conducted simultaneous fUS imaging and Neuropixels recordings during stimulus-evoked activity in awake mice within three regions the visual pathway. Our findings indicate that the temporal dynamics of fUS and SR signals are linearly correlated, though the correlation coefficients vary among visual regions. Conversely, the spatial correlation between the two signals remains consistent across all regions with a spread of approximately 300 micrometers. Finally, we introduce a model that integrates the spatial and temporal components of the fUS signal, allowing for a more accurate interpretation of fUS images.

Rate of abnormalities in quantitative MR neuroimaging of persons with chronic traumatic brain injury

BackgroundMild traumatic brain injury (mTBI) can result in lasting brain damage that is often too subtle to detect by qualitative visual inspection on conventional MR imaging. Although a number of FDA-cleared MR neuroimaging tools have demonstrated changes associated with mTBI, they are still under-utilized in clinical practice.MethodsWe investigated a group of 65 individuals with predominantly mTBI (60 mTBI, 48 due to motor-vehicle collision, mean age 47 ± 13 years, 27 men and 38 women) with MR neuroimaging performed in a median of 37 months post-injury. We evaluated abnormalities in brain volumetry including analysis of left-right asymmetry by quantitative volumetric analysis, cerebral perfusion by pseudo-continuous arterial spin labeling (PCASL), white matter microstructure by diffusion tensor imaging (DTI), and neurometabolites via magnetic resonance spectroscopy (MRS).ResultsAll participants demonstrated atrophy in at least one lobar structure or increased lateral ventricular volume. The globus pallidi and cerebellar grey matter were most likely to demonstrate atrophy and asymmetry. Perfusion imaging revealed significant reductions of cerebral blood flow in both occipital and right frontoparietal regions. Diffusion abnormalities were relatively less common though a subset analysis of participants with higher resolution DTI demonstrated additional abnormalities. All participants showed abnormal levels on at least one brain metabolite, most commonly in choline and N-acetylaspartate.ConclusionWe demonstrate the presence of coup-contrecoup perfusion injury patterns, widespread atrophy, regional brain volume asymmetry, and metabolic aberrations as sensitive markers of chronic mTBI sequelae. Our findings expand the historic focus on quantitative imaging of mTBI with DTI by highlighting the complementary importance of volumetry, arterial spin labeling perfusion and magnetic resonance spectroscopy neurometabolite analyses in the evaluation of chronic mTBI.

Lights on music cognition: A systematic and critical review of fNIRS applications and future perspectives

Research investigating the neural processes related to music perception and production constitutes a well-established field within the cognitive neurosciences. While most neuroimaging tools have limitations in studying the complexity of musical experiences, functional Near-Infrared Spectroscopy (fNIRS) represents a promising, relatively new tool for studying music processes in both laboratory and ecological settings, which is also suitable for both typical and pathological populations across development. Here we systematically review fNIRS studies on music cognition, highlighting prospects and potentialities. We also include an overview of fNIRS basic theory, together with a brief comparison to characteristics of other neuroimaging tools. Fifty-nine studies meeting inclusion criteria (i.e., using fNIRS with music as the primary stimulus) are presented across five thematic sections. Critical discussion of methodology leads us to propose guidelines of good practices aiming for robust signal analyses and reproducibility. A continuously updated world map is proposed, including basic information from studies meeting the inclusion criteria. It provides an organized, accessible, and updatable reference database, which could serve as a catalyst for future collaborations within the community. In conclusion, fNIRS shows potential for investigating cognitive processes in music, particularly in ecological contexts and with special populations, aligning with current research priorities in music cognition.

A case for using methods from natural science in advancing the field of cognitive neuroscience.

Cognitive neuroscience seeks to pinpoint the neural basis of cognitive function. Application of scientific methods can be credited for its advancement within the field of psychology. Past approaches such as phrenology, that linked bumps on the skull to mental capabilities, initially gained popularity, but the lack of experimental testing contributed to its demise. Research in neuropsychology and the use of the double dissociation experimental technique subsequently emerged. Objective measurements of behaviour following selective damage within the brain led to a paradigm shift. More recently, application of the subtraction technique, coupled with the emergence of cognitive neuroimaging tools, has allowed psychologists to isolate and measure specific functions such as language, vision, memory, and recognition of emotion. Importantly, these approaches enable reliable prediction of behaviours, given parameters of brain integrity, a key goal within the field of psychology.

Hypoperfusion of Amygdala in Chronic Migraine: An Exploratory Quantitative Perfusion Imaging Using 3D Pseudo-Continuous Arterial Spin Labeling.

Although the amygdala has structural and functional abnormalities in Chronic Migraine (CM), less is known about the altered perfusion of the amygdala in CM. The current study aimed to assess amygdala perfusion in CM using a contrast agent-free and quantitative approach. 15 Normal Controls (NC) and 13 patients with CM during the migraine interval were assessed for brain structure and subjected to 3D Pseudo- Continuous Arterial Spin Labeling (3D-PCASL) MR imaging. The Cerebral Blood Flow (CBF) value of the amygdala was automatically extracted based on the individual amygdala mask for all participants. The independent sample t-test, Receiver Operating Characteristic (ROC) curve, and correlation analysis were used to evaluate the perfusion changes in CM. Bilateral amygdala cerebral perfusion was lower in CM (left amygdala, 42.21±4.49 ml/100mg/min; right amygdala, 42.38±4.41 ml/100mg/min) than in NC (left amygdala, 48.31±6.92 ml/100mg/min; right amygdala, 47.88±6.53 ml/100mg/min) (left, p = 0.01; right, p = 0.02). There was no significant correlation between the perfusion of bilateral amygdalas and the clinical variables. Also, there was no significant difference in the volume of bilateral amygdalas between the two groups. The Area Under the Curve (AUC) of the CBF values of the left and right amygdala was 0.78 (95%CI: 0.58-0.91) and 0.75 (95%CI: 0.55-0.89), respectively. The cut-off value was 44.24 ml/100mg/min (left amygdala, with sensitivity 76.90% and specificity 78.70%) and 46.75 ml/100mg/min (right amygdala, with sensitivity 92.3% and specificity 58.80%), respectively. CM presented bilateral hypoperfusion in the amygdala, offering potential diagnostic value in distinguishing CM from NC. The 3D-PCASL could be regarded as a simple and efficient neuroimaging tool to assess the perfusion status in CM patients.