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Brain Structure & Function Dec 2017The putamen is a subcortical structure that forms part of the dorsal striatum of basal ganglia, and has traditionally been associated with reinforcement learning and... (Meta-Analysis)
Meta-Analysis Review
The putamen is a subcortical structure that forms part of the dorsal striatum of basal ganglia, and has traditionally been associated with reinforcement learning and motor control, including speech articulation. However, recent studies have shown involvement of the left putamen in other language functions such as bilingual language processing (Abutalebi et al. 2012) and production, with some authors arguing for functional segregation of anterior and posterior putamen (Oberhuber et al. 2013). A further step in exploring the role of putamen in language would involve identifying the network of coactivations of not only the left, but also the right putamen, given the involvement of right hemisphere in high order language functions (Vigneau et al. 2011). Here, a meta-analytic connectivity modeling technique was used to determine the patterns of coactivation of anterior and bilateral putamen in the language domain. Based on previous evidence, we hypothesized that left putamen coactivations would include brain regions directly associated with language processing, whereas right putamen coactivations would encompass regions involved in broader semantic processes, such as memory and visual imagery. The results showed that left anterior putamen coactivated with clusters predominantly in left hemisphere, encompassing regions directly associated with language processing, a left posterior putamen network spanning both hemispheres, and cerebellum. In right hemisphere, coactivations were in both hemispheres, in regions associated with visual and orthographic processing. These results confirm the differential involvement of right and left putamen in different language components, thus highlighting the need for further research into the role of putamen in language.
Topics: Humans; Language; Models, Neurological; Neural Pathways; Putamen
PubMed: 28585051
DOI: 10.1007/s00429-017-1450-y -
Biological Psychiatry Dec 2022The putamen has been implicated in depressive disorders, but how its structure and function increase depression risk is not clearly understood. Here, we examined how...
BACKGROUND
The putamen has been implicated in depressive disorders, but how its structure and function increase depression risk is not clearly understood. Here, we examined how putamen volume, neuronal density, and mood-modulated functional activity relate to family history and prospective course of depression.
METHODS
The study includes 115 second- and third-generation offspring at high or low risk for depression based on the presence or absence of major depressive disorder in the first generation. Offspring were followed longitudinally using semistructured clinical interviews blinded to their familial risk; putamen structure, neuronal integrity, and functional activation were indexed by structural magnetic resonance imaging (MRI), proton magnetic resonance spectroscopy (N-acetylaspartate/creatine ratio), and functional MRI activity modulated by valence and arousal components of a mood induction task, respectively.
RESULTS
After adjusting for covariates, the high-risk individuals had lower putamen volume (standardized betas, β- = -0.17, β- = -0.15, ps = .002), N-acetylaspartate/creatine ratio (β-= -0.40, β-= -0.37, ps < .0001), and activation modulated by valence (β- = -0.22, β- = -0.27, ps < .05) than low-risk individuals. Volume differences were greater at younger ages, and N-acetylaspartate/creatine ratio differences were greater at older ages. Lower putamen volume also predicted major depressive disorder episodes up to 8 years after the scan (β- = -0.72, p = .013; β- = -0.83, p = .037). Magnetic resonance spectroscopy and task functional MRI measures were modestly correlated (0.27 ≤ r ≤ 0.33).
CONCLUSIONS
Findings demonstrate abnormalities in putamen structure and function in individuals at high risk for major depressive disorder. Future studies should focus on this region as a potential biomarker for depressive illness, noting meanwhile that differences attributable to family history may peak at different ages based on which MRI modality is being used to assay them.
Topics: Humans; Putamen; Depressive Disorder, Major; Creatine; Depression; Genetic Predisposition to Disease; Prospective Studies; Magnetic Resonance Imaging; Multimodal Imaging
PubMed: 36038379
DOI: 10.1016/j.biopsych.2022.06.035 -
Journal of Cerebral Blood Flow and... Apr 2023Functional magnetic resonance imaging (fMRI) is widely used by researchers to noninvasively monitor brain-wide activity. The traditional assumption of a uniform... (Review)
Review
Functional magnetic resonance imaging (fMRI) is widely used by researchers to noninvasively monitor brain-wide activity. The traditional assumption of a uniform relationship between neuronal and hemodynamic activity throughout the brain has been increasingly challenged. This relationship is now believed to be impacted by heterogeneously distributed cell types and neurochemical signaling. To date, most cell-type- and neurotransmitter-specific influences on hemodynamics have been examined within the cortex and hippocampus of rodent models, where glutamatergic signaling is prominent. However, neurochemical influences on hemodynamics are relatively unknown in largely GABAergic brain regions such as the rodent caudate putamen (CPu). Given the extensive contribution of CPu function and dysfunction to behavior, and the increasing focus on this region in fMRI studies, improved understanding of CPu hemodynamics could have broad impacts. Here we discuss existing findings on neurochemical contributions to hemodynamics as they may relate to the CPu with special consideration for how these contributions could originate from various cell types and circuits. We hope this review can help inform the direction of future studies as well as interpretation of fMRI findings in the CPu.
Topics: Animals; Putamen; Rodentia; Brain; Magnetic Resonance Imaging; Hemodynamics
PubMed: 36448509
DOI: 10.1177/0271678X221142533 -
Human Brain Mapping Apr 2021Real-time fMRI guided neurofeedback training has gained increasing interest as a noninvasive brain regulation technique with the potential to modulate functional brain...
Real-time fMRI guided neurofeedback training has gained increasing interest as a noninvasive brain regulation technique with the potential to modulate functional brain alterations in therapeutic contexts. Individual variations in learning success and treatment response have been observed, yet the neural substrates underlying the learning of self-regulation remain unclear. Against this background, we explored potential brain structural predictors for learning success with pooled data from three real-time fMRI data sets. Our analysis revealed that gray matter volume of the right putamen could predict neurofeedback learning success across the three data sets (n = 66 in total). Importantly, the original studies employed different neurofeedback paradigms during which different brain regions were trained pointing to a general association with learning success independent of specific aspects of the experimental design. Given the role of the putamen in associative learning this finding may reflect an important role of instrumental learning processes and brain structural variations in associated brain regions for successful acquisition of fMRI neurofeedback-guided self-regulation.
Topics: Adult; Cerebral Cortex; Connectome; Datasets as Topic; Female; Functional Neuroimaging; Humans; Learning; Magnetic Resonance Imaging; Male; Nerve Net; Neurofeedback; Putamen; Self-Control; Young Adult
PubMed: 33400306
DOI: 10.1002/hbm.25336 -
Journal of Neurochemistry Mar 2020The dorsal striatum coordinates input-output processing of numerous functions including those related to motor activity, motivation, and learning. Considerable...
Old neurochemical markers, new functional directions?: An Editorial for 'Distinct gradients of various neurotransmitter markers in caudate nucleus and putamen of the human brain' on page 650.
The dorsal striatum coordinates input-output processing of numerous functions including those related to motor activity, motivation, and learning. Considerable anatomical and biochemical heterogeneity across striatal subregions has long been known to result in distinct functional outcomes, and for imbalances in these pathways to contribute to many complex disorders. Here we highlight the study of Hörtnagl et al. (2019) who utilize precision dissection of human caudate nucleus and putamen for detailed measurement of major neurochemical markers to address the question of anatomical heterogeneity of neurotransmitter distribution and turnover in these regions. The findings identify gradients of neurotransmitter markers in rostro-caudal, dorso-lateral, and anterior-posterior directions with a precision that has not been previously determined in humans. Correlative analyses of the results also suggest tentative links between content of various neurotransmitters in specific subregions, raising the intriguing possibility that neurotransmitter quantity in one territory may correlate with the quantity of the same or different transmitter from another territory. This suggests the presence of a functional anatomy over extensive brain regions and networks that can be studied through multiple correlative analyses, and identify a possible basis for a new approach for postmortem analysis of neurotransmitter distribution and function.
Topics: Aged; Biomarkers; Caudate Nucleus; Female; Humans; Male; Neurotransmitter Agents; Postmortem Changes; Putamen
PubMed: 31917872
DOI: 10.1111/jnc.14929 -
Journal of Psychiatric Research Nov 2022The functions of nonsuicidal self-injury (NSSI) consist of social and emotional aspects (Social influence, Sensation seeking, Internal and External emotion regulation)....
The functions of nonsuicidal self-injury (NSSI) consist of social and emotional aspects (Social influence, Sensation seeking, Internal and External emotion regulation). Previous studies have indicated that dysfunction in reward-related brain structures especially the striatum might drive this habitual behavior. However, no studies to date have investigated the associations between striatum and different functions for adolescents engaging in NSSI behaviors. Here, we recruited 35 depressed adolescents with recent NSSI behaviors and 36 healthy controls and acquired structural brain images, depressive symptoms, social, academic and family environments assessments, in addition to NSSI functions in patients only. Subcortical volumes and cortical thickness were estimated with FreeSurfer. Mixed linear regressions were performed to examine associations between striatal structures (caudate, putamen, nucleus accumbens, pallidum) and NSSI functions, with age, sex, total intracranial volume, hemisphere and depression severity included as covariates. Effect of environmental factors and potential associations with cortical thickness and other subcortical volumes were also tested. We found that, among the four functions, external emotional regulation represented the main function for NSSI engagement. Increased external emotion regulation was significantly associated with smaller putamen volume. No environmental factors biased the association with putamen. No associations with other cortical or subcortical regions were observed. Our findings suggested that smaller putamen might be a biomarker of NSSI engagement for depressed adolescents when they regulated frustrated or angry emotions. The results have potentially clinical implications in early identification and brain intervention of NSSI in youth.
Topics: Adolescent; Adolescent Behavior; Emotional Regulation; Emotions; Humans; Putamen; Self-Injurious Behavior
PubMed: 36179414
DOI: 10.1016/j.jpsychires.2022.09.014 -
Brain : a Journal of Neurology Feb 2024While Parkinson's disease remains clinically defined by cardinal motor symptoms resulting from nigrostriatal degeneration, it is now appreciated that the disease...
While Parkinson's disease remains clinically defined by cardinal motor symptoms resulting from nigrostriatal degeneration, it is now appreciated that the disease commonly consists of multiple pathologies, but it is unclear where these co-pathologies occur early in disease and whether they are responsible for the nigrostriatal degeneration. For the past number of years, we have been studying a well-characterized cohort of subjects with motor impairment that we have termed mild motor deficits. Motor deficits were determined on a modified and validated Unified Parkinson's Disease Rating Scale III but were insufficient in degree to diagnose Parkinson's disease. However, in our past studies, cases in this cohort had a selection bias, as both a clinical syndrome in between no motor deficits and Parkinson's disease, plus nigral Lewy pathology as defined post-mortem, were required for inclusion. Therefore, in the current study, we only based inclusion on the presence of a clinical phenotype with mild motor impairment insufficient to diagnose Parkinson's disease. Then, we divided this group further based upon whether or not subjects had a synucleinopathy in the nigrostriatal system. Here we demonstrate that loss of nigral dopaminergic neurons, loss of putamenal dopaminergic innervation and loss of the tyrosine hydroxylase-phenotype in the substantia nigra and putamen occur equally in mild motor deficit groups with and without nigral alpha-synuclein aggregates. Indeed, the common feature of these two groups is that both have similar degrees of AT8 positive phosphorylated tau, a pathology not seen in the nigrostriatal system of age-matched controls. These findings were confirmed with early (tau Ser208 phosphorylation) and late (tau Ser396/Ser404 phosphorylation) tau markers. This suggests that the initiation of nigrostriatal dopaminergic neurodegeneration occurs independently of alpha-synuclein aggregation and can be tau mediated.
Topics: Humans; Parkinson Disease; alpha-Synuclein; Parkinsonian Disorders; Synucleinopathies; Putamen; Substantia Nigra; Dopamine
PubMed: 38006313
DOI: 10.1093/brain/awad388 -
Neurology Sep 1998To determine whether the volume of the putamen is abnormal in patients with idiopathic focal dystonia.
OBJECTIVE
To determine whether the volume of the putamen is abnormal in patients with idiopathic focal dystonia.
BACKGROUND
The cause of adult-onset focal dystonia is unknown, but substantial evidence suggests that the putamen may be abnormal in this condition. Cell loss and gliosis have been suggested. We hypothesized that this might be reflected as abnormal putamen volume on MRI.
DESIGN AND METHODS
A high-resolution MRI was acquired in 13 adults with cranial or hand dystonia and 13 normal individuals matched for age and sex. Putamen volume was measured using a stereologic method (Study 1). In a replication study, another rater measured putamen volume using manual tracing and direct voxel count (Study 2). Neither rater was aware of the diagnosis, and the order of measurement was random in each study.
RESULTS
In Study 1, putamen measurements were reasonably accurate (coefficient of error, approximately 6%). The putamen was 13% larger in patients, both in absolute terms (p = 0.03) and after covarying total brain volume (p = 0.02). In Study 2, putamen volumes correlated with those measured in Study 1 (intraclass correlation coefficient, 0.68 to 0.83). The putamen was 8% larger in patients (p = 0.06) and was larger in the patient than in the matched control subject in 10 of 13 pairs (p = 0.046).
CONCLUSION
We find no evidence of putaminal atrophy or degeneration in adult-onset idiopathic focal dystonia. In fact, in this group, the putamen is about 10% larger in patients than in matched control subjects. This finding may reflect a response to the dystonia or may relate to its cause.
Topics: Adult; Aged; Dystonia; Female; Humans; Magnetic Resonance Imaging; Male; Middle Aged; Observer Variation; Organ Size; Putamen
PubMed: 9748033
DOI: 10.1212/wnl.51.3.819 -
The Journal of Neuroscience : the... Feb 2019The basal ganglia, especially the circuits originating from the putamen, are essential for controlling normal body movements. Notably, the putamen receives inputs not...
The basal ganglia, especially the circuits originating from the putamen, are essential for controlling normal body movements. Notably, the putamen receives inputs not only from motor cortical areas but also from multiple sensory cortices. However, how these sensory signals are processed in the putamen remains unclear. We recorded the activity of tentative medium spiny neurons in the caudal part of the putamen when the monkey viewed many fractal objects. We found many neurons that responded to these objects, mostly in the ventral region. We called this region "putamen tail" (PUTt), as it is dorsally adjacent to "caudate tail" (CDt). Although PUTt and CDt are mostly separated by a thin layer of white matter, their neurons shared several features. Almost all of them had receptive fields in the contralateral hemifield. Moreover, their responses were object selective (i.e., variable across objects). The object selectivity was higher in the ventral region (i.e., CDt > PUTt). Some neurons above PUTt, which we called the caudal-dorsal putamen (cdPUT), also responded to objects, but less selectively than PUTt. Next, we examined whether these visual neurons changed their responses based on the reward outcome. We found that many neurons encoded the values of many objects based on long-term memory, but not based on short-term memory. Such stable value responses were stronger in PUTt and CDt than in cdPUT. These results suggest that PUTt, together with CDt, controls saccade/attention among objects with different historical values, and may control other motor actions as well. Although the putamen receives inputs not only from motor cortical areas but also from sensory cortical areas, how these sensory signals are processed remains unclear. Here we found that neurons in the caudal-ventral part of the putamen (putamen tail) process visual information including spatial and object features. These neurons discriminate many objects, first by their visual features and later by their reward values as well. Importantly, the value discrimination was based on long-term memory, but not on short-term memory. These results suggest that the putamen tail controls saccade/attention among objects with different historical values and might control other motor actions as well.
Topics: Animals; Attention; Macaca mulatta; Male; Memory, Long-Term; Neurons; Putamen; Reward; Saccades; Visual Perception
PubMed: 30573645
DOI: 10.1523/JNEUROSCI.2534-18.2018 -
NeuroImage Sep 2021The ability to perceive the numerosity of items in the environment is critical for behavior of species across the evolutionary tree. Though the focus of studies of...
The ability to perceive the numerosity of items in the environment is critical for behavior of species across the evolutionary tree. Though the focus of studies of numerosity perception lays on the parietal and frontal cortices, the ability to perceive numerosity by a range of species suggests that subcortical nuclei may be implicated in the process. Recently, we have uncovered tuned neural responses to haptic numerosity in the human cortex. Here, we questioned whether subcortical nuclei are also engaged in perception of haptic numerosity. To that end, we utilized a task of haptic numerosity exploration, together with population receptive field model of numerosity selective responses measured at ultra-high field MRI (7T). We found tuned neural responses to haptic numerosity in the bilateral putamen. Similar to the cortex, the population receptive fields tuning width increased with numerosity. The tuned responses to numerosity in the putamen extend its role in cognition and propose that the motor-sensory loops of the putamen and basal ganglia might take an active part in numerosity perception and preparation for future action.
Topics: Adult; Female; Humans; Judgment; Magnetic Resonance Imaging; Male; Middle Aged; Putamen; Size Perception; Touch Perception
PubMed: 34020014
DOI: 10.1016/j.neuroimage.2021.118178