The human medial temporal lobe, brain connectivity, and recognition memory by Rudebeck, S

“…The recent development of diffusion tensor imaging (DTI) has made it possible to investigate the integrity of these tracts in the human brain, whilst advances in the analysis of functional magnetic resonance imaging (fMRI) data have enabled the functional interaction between brain regions to be assessed. …”

Investigating human motor learning using multimodal imaging and brain stimulation by Hinson, E

“…This thesis contains work using multimodal methods to further understanding of the neurophysiological underpinning of motor skill learning in both healthy controls and stroke survivors. Functional magnetic resonance imaging (fMRI), magnetic resonance spectroscopy (MRS) and transcranial magnetic stimulation (TMS) are used to measure brain activity and neurotransmitter concentrations, while transcranial direct current stimulation (tDCS) is used to modulate both brain activity and motor learning performance. …”

On the reproducibility and interpretability of group-level task-fMRI results by Bowring, A

“…<p>In this thesis, we aim to address two topical issues at the forefront of task-based functional magnetic resonance imaging (fMRI). The first of these is a growing apprehension within the field about the reproducibility of findings that make up the neuroimaging literature. …”

Effect of prefrontal cortex stimulation on regulation of amygdala response to threat in individuals with trait anxiety: a randomized clinical trial by Ironside, M, Browning, M, Ansari, T, Harvey, C, Sekyi-Djan, M, Bishop, S, Harmer, C, O'Shea, J

“…<strong>Main Outcomes and Measures</strong> Amygdala threat response, measured with functional magnetic resonance imaging. <strong>Results</strong> Data from 16 female participants (mean age, 23 years; range, 18-42 years), with 8 in each group, were analyzed. …”

The bipolar phenotype: behavioural and neurobiological characteristics by Yip, S, Sarah Winsland Yip

“…To that end, we employed a diverse range of methodologies: alcohol challenge (Study 2); neuropsychological task performance (Study 3); functional magnetic resonance imaging (fMRI; Study 4); diffusion tensor imaging (DTI) and voxel-based morphometry (VBM; Study 5).…”

Cognitive function in multiple sclerosis and its modulation by cholinergic drugs by Cader, S, Cader, Sarah

“…<p>In order to assess cognitive function in multiple sclerosis (MS) and the effect of cholinergic modulation, experiments were conducted using functional magnetic resonance imaging (fMRI) to assess the brain activation during cognitive tasks.…”

Manipulating brain connectivity with δ⁹-tetrahydrocannabinol: a pharmacological resting state FMRI study. by Klumpers, L, Cole, D, Khalili-Mahani, N, Soeter, R, Te Beek, E, Rombouts, SA, van Gerven, J

“…Resting state-functional magnetic resonance imaging (RS-FMRI) is a neuroimaging technique that allows repeated assessments of functional connectivity in resting state. …”

Defining the neural correlates of pain and analgesia in health and disease by Mezue, M, Melvin Mezue

“…The use of functional magnetic resonance imaging (fMRI) techniques for imaging acute and increasingly tonic states enables the assessment of the neural correlates of evoked hypersensitivity and persistent pain, with the goal of developing appropriate biomarkers to test new therapies. …”

Linking reward-learning and affect in health and depression by Halahakoon, DC

“…In the first study, I apply reinforcement learning models to behavioural and neuroimaging (functional magnetic resonance imaging; fMRI) data to investigate the effect of Pramipexole, a promising antidepressant, on behavioural and neural reward learning. …”

Statistical Inference in fMRI using Random Field Theory and resampling methods by Davenport, S

“…<p>This thesis provides a set of tools for analysing random images with a specific focus on applications in functional Magnetic Resonance Imaging (fMRI). To do so we employ Random Field Theory (RFT), a set of theoretical parametric results that can be used to analyse multidimensional random processes (known as random fields), and resampling methods, which draw samples from the data (with or without replacement).…”

Exploring subspace-constrained approaches to low-rank fMRI acceleration by Mason, HT

“… <p>Functional magnetic resonance imaging (fMRI) is a medical imaging technique that measures brain activity non-invasively. …”

Resting state effective connectivity between inferior parietal lobe (IPL) and inferior temporal gyrus (ITG) in the left and right hemispheres by Ahmad Nazlim Yusoff, Khairiah Abdul Hamid, Saemah Rahman, Syazarina Sharis Osman, Shahlan Surat, Maziah Ahmad Marzuki

“…Resting state functional magnetic resonance imaging (rsfMRI) data were obtained from 7 healthy male and female participants (average age = 20.7 ± 4.5 years) and were concatenated. …”
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Validation of emotional stimuli flashcards for conducting ‘response to reward’ fMRI study among Malaysian undergraduates by Nisha Syed Nasser, Hamed Sharifat, Aida Abdul Rashid, Suzana Ab Hamid, Ezamin Abdul Rahim, Mazlyfarina Mohamad, Tyagi, Rohit, Siti Irma Fadhilah Ismail, Ching, Siew Mooi, Subapriya Suppiah

“…Problematic Instagram Use (PIGU) is a specific Internet addiction disorder observed among the youth of today. Functional magnetic resonance imaging (fMRI) can objectively assess regional brain activation in response to addictionspecific rewards, e.g. viewing picture flashcards. …”
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Statistical analysis and machine learning in multimodal brain imaging of neuropsychiatric disorders by Hu, Mengjiao

“…The first study investigated brain functional activity and connectivity changes using amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and functional connectivity (FC) from resting-state functional magnetic resonance imaging (fMRI) data pre- and post- a two-week MI-BCI and tDCS combined intervention in 19 chronic subcortical stroke patients. …”
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Load matters: neural correlates of verbal working memory in children with autism spectrum disorder by Vanessa M. Vogan, Kaitlyn E. Francis, Benjamin R. Morgan, Mary Lou Smith, Margot J. Taylor

“…The current study identified the neural systems underlying verbal working memory capacity in youth with and without ASD using functional magnetic resonance imaging (fMRI). Methods Fifty-seven youth, 27 with ASD and 30 sex- and age-matched typically developing (TD) controls (9–16 years), completed a one-back letter matching task (LMT) with four levels of difficulty (i.e. cognitive load) while fMRI data were recorded. …”
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Comparing the efficacy of data-driven denoising methods for a multi-echo fMRI acquisition at 7T by Abraham B. Beckers, Gerhard S. Drenthen, Jacobus F.A. Jansen, Walter H. Backes, Benedikt A. Poser, Daniel Keszthelyi

“…In functional magnetic resonance imaging (fMRI) of the brain the measured signal is corrupted by several (e.g. physiological, motion, and thermal) noise sources and depends on the image acquisition. …”
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Targeting suicidal ideation in major depressive disorder with MRI-navigated Stanford accelerated intelligent neuromodulation therapy by Baojuan Li, Na Zhao, Nailong Tang, Karl J. Friston, Wensheng Zhai, Di Wu, Junchang Liu, Yihuan Chen, Yan Min, Yuting Qiao, Wenming Liu, Wanqing Shu, Min Liu, Ping Zhou, Li Guo, Shun Qi, Long-Biao Cui, Huaning Wang

“…The neural pathways supporting rapid-acting antidepressant and suicide prevention effects were identified with dynamic causal modelling based on resting-state functional magnetic resonance imaging. We found that 5 days of SAINT effectively alleviated suicidal ideation in patients with MDD with a high response rate of 65.63%. …”
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Constructing brain functional network by Adversarial Temporal-Spatial Aligned Transformer for early AD analysis by Qiankun Zuo, Qiankun Zuo, Libin Lu, Lin Wang, Lin Wang, Jiahui Zuo, Tao Ouyang

“…However, the current methods of constructing functional connectivity networks from functional magnetic resonance imaging (fMRI) heavily depend on the software toolboxes, which may lead to errors in connection strength estimation and bad performance in disease analysis because of many subjective settings.MethodsTo solve this problem, in this paper, a novel Adversarial Temporal-Spatial Aligned Transformer (ATAT) model is proposed to automatically map 4D fMRI into functional connectivity network for early AD analysis. …”
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Separating neuronal activity and systemic low-frequency oscillation related BOLD responses at nodes of the default mode network during resting-state fMRI with multiband excitation... by Atsushi Tachibana, Yoko Ikoma, Yoshiyuki Hirano, Yoshiyuki Hirano, Yoshiyuki Hirano, Jeff Kershaw, Takayuki Obata, Takayuki Obata

“…Functional magnetic resonance imaging (fMRI) evaluates brain activity using blood oxygenation level-dependent (BOLD) contrast. …”
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Impairments in the Default Mode and Executive Networks in Methamphetamine Users During Short-Term Abstinence by Gong M, Shen Y, Liang W, Zhang Z, He C, Lou M, Xu Z

“…This study aimed to investigate effective connectivity, resting-state networks, and internetwork functional connectivity in MA brains to improve clinical treatment.Methods: Twenty MAs and 27 age- and education-matched healthy controls underwent resting-state functional magnetic resonance imaging. The amplitude of low-frequency fluctuations and Granger causality were analyzed to investigate disrupted brain regions and effective connectivity, respectively. …”
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