Popular Keywords

Android Obesity

Bariatric Surgery

Child Obesity

Depression & Obesity

Diabetes and Obesity

Etiology of Obesity

Near-Infrared Light Shines on Brain Networks

Correspondence to Author: Andrei V. Medvedev, 

Center for Functional and Molecular Imaging,Georgetown University Medical Center, Washington, DC, USA,

Introduction: Near-infrared spectrum analysis may be a novel and promising technology for price effective and noninvasive brain imaging in analysis and clinical apply. Utilizing the very fact that near-infrared lightweight is generally absorbed by tissue hemoprotein, one will live the intensity of sunshine scattered and mirrored by tissue (e.g., brain) to trace native changes in hemoprotein concentrations among animal tissue layers (near-infrared spectrum analysis, NIRS). Moreover, with multiple source-detector pairs, one will perform spatial reconstruction of associate activation map for each aerated (HbO) and de-oxygenated sorts of hemoprotein (in this case, the term ‘Diffuse Optical Tomography’ is used). Conceptually, NIRS detects hemodynamic modulations as associate indirect live of neuronic activity just like the blood atomic number 8 level dependent (BOLD) useful resonance imaging (fMRI) signal. though spatial resolution of NIRS is under that of magnetic resonance imaging (about one cm), NIRS provides associate imaging technique with wonderful temporal resolution (up to many ms as found in electrophysiological ways like electroencephalogram and MEG). Moreover, its low price, movableness and therefore the easy use build it ideally appropriate for those subject and patient populations that aren’t simply amenable to the gold-standard imaging techniques of magnetic resonance imaging and antielectron emission imaging (PET). the trendy NIRS instruments offer high density multi-channel recordings which permit for larger coverage of the pinnacle and it becomes attainable to live not solely brain activation however conjointly dynamic interactions between the brain areas. Those interactions will be assessed through temporal correlations of optical signals at the same time recorded from multiple brain regions and so a NIRS-based ‘functional property’ just like the useful connectivity measured by the magnetic resonance imaging daring signal [1] will be derived. Recently, the brain imaging field has ascertained the exponential growth of studies regarding useful property of the brain. useful property suggests new tools for the assessment of psychological feature functions and for the study of useful design of the brain throughout task performance and therefore the resting state. Since the pioneering study by [2] has provided the primary proof that resting state networks replicate interactions in cognitively relevant useful networks [2] and from the multitude of alternative magnetic resonance imaging studies, it becomes evident that useful design of the brain is comparatively stable across totally different useful states from rest to varied psychological feature tasks. With the appearance of NIRS technology, it’s been incontestible that NIRS can even find spontaneous hemodynamic fluctuations within the brain [3-5]. However, thanks to comparatively tiny head coverage within the early NIRS instruments and therefore the lack of standardized ways of study, the studies of useful property supported optical hemodynamic signals are restricted. yet, many teams have rumored the employment of NIRS to live usefully relevant correlations among spontaneous fluctuations of hemodynamic signals to assess regional functional property [6-10].One of the attention-grabbing questions on useful property is its distribution across hemispheres and whether or not it’s any neural structure spatial property. neural structure spatial property may be a well- established development and might be simply incontestible within the context of specific behavioural (sensory, psychological feature and motor) tasks. neural structure spatial property contains a clear hemodynamic correlate typically measured by daring magnetic resonance imaging, that is bigger activation of the dominant hemisphere throughout relevant tasks. the most effective example is that the dominance and bigger activation of the hemisphere throughout language connected tasks within the majority of right- twohanded individuals. neural structure spatial property relating to useful property has not been studied during a consistent manner and therefore the information area unit distributed for each active and resting states. There area unit solely many imaging studies addressing the laterality of property. In one among the primary studies [11], laterality was measured from intrinsic on-going brain activity throughout passive fixation (this is one among the ‘eyes open’ variants of the resting state). The authors found each leftward and rightward regional laterality across totally different brain systems and therefore the degree of spatial property was addicted to multiple factors together with gender. Overall, the brain spatial property looked as if it would be additional pronounced in males than in females [11]. especially, this study incontestible that the inferior convolution had rightward laterality among another brain regions [11]. The bigger resting state property within the psychological feature division of the right-hemispheric anterior cingulate cortex in right-handed participants throughout resting state was conjointly incontestible by Yan et al. [12]. Resting state practical property of the default mode network in each right- and left-handed teams of subjects was studied by Saenger et al. [13]. They found numerous degrees of imbalance (either leftward or rightward) in several brain regions. especially, they found a rightward bigger property within the middle frontal and middle/superior temporal gyri within the right-handed subjects. significantly, despite the discovered rightward asymmetries of practical property, this study didn’t realize similar neural structure variations in gray substance volume (measured by voxel-based morphometry). This finding once more emphasizes the actual fact that practical property isn’t a twin of structural property and so the previous provides extra info on the practical design of the brain that can not be inferred from anatomical measurements. In a recent study, Tomasi and Volkow have developed a brand new methodology of ‘functional property density mapping’ and applied it within the study of laterality for each shortrange (implicated in practical specialization) and long-range (implicated in practical integration) property [14]. Rightward laterality of short-range property was found within the areas round the lateral fissure. The results for long-range property were mixed with the rightward laterality in lateral fissure and leftward lateralized in inferior anterior cortex and angular body structure. The authors have additionally found moderate effects of gender on property therein the males had bigger rightward localisation principle of brain property in superior temporal and inferior cortical area. Functional imbalance has additionally been studied by electrophysiological ways. though these ways have lower abstraction resolution compared to magnetic resonance imaging, supply reconstruction techniques will still delineate practical networks on the sub- body part scale (i.e., at intervals specific anatomical lobes). one amongst the first studies supported surface encephalogram coherence found higher right versus left neural structure coherence [15]. This result was confirmed later by [16] UN agency used current supply correlations derived from the resting state encephalogram with supply imaging LORETA computer code. They found higher intrahemispheric supply correlations within the right compared to the hemisphere [16]. Thus, each brain imaging and electrophysiological studies give proof that practical property is higher within the cerebral hemisphere. These results may be mentioned within the context of anatomical variations between hemispheres. As mentioned by [16], the design of the hemisphere favors a lot of native process whereas the correct hemisphere is best wired for the combination of knowledge across distant regions [16]. Overall, the anatomical and practical information give the premise for the present read at the start advised by [17], that the hemisphere is a lot of concerned in analytical and sequent process whereas the correct hemisphere is a lot of concerned within the integration and synthesis of multimodal info [17]. In our recent study, we tend to analyzed practical property and its neural structure imbalance exploitation NIRS and mensuration coherence of optical signals at low frequencies (0.01-0.1 Hz) within the anterior cortex in healthy subjects at rest [18]. property matrices showed specific patterns of property that was higher at intervals every anatomical region (inferior convolution, IFG and middle convolution, MFG) and between hemispheres (e.g., left IFG right IFG) than between IFG and MFG within the same hemisphere. Laterality indexes were calculated as t-values for the ‘left > right’ comparisons of intrinsic property. considerably higher property within the cerebral hemisphere was incontestible all told subjects in spite of asymmetry. Moreover, sodbuster relation between hemispheres discovered a bigger flow of knowledge from the correct to the hemisphere than within the opposite approach. These results counsel that the hemisphere is a lot of ‘controlled’ by the correct hemisphere within the resting state. This finding raises some intriguing queries. First, it ought to be noted that in the resting state subjects doze off very often experiencing transient episodes of nap (this was confirmed within the current study by the analysis of at the same time recorded encephalogram wherever sleep spindles were sometimes detected so indicating nonrapid eye movement sleep stages 1-2). will this mean that in sleep-like states the correct hemisphere plays a a lot of active role? If therefore, the proactive role of the correct hemisphere could purpose to its involvement in information science sometimes related to sleep like re-evaluation, post-processing, classifying and storing of antecedently nonheritable info. These processes area unit thought to eventually result in the consolidation of recent info into semipermanent recollections. As mentioned on top of, the anatomical and practical design of the correct hemisphere could favor such ‘consolidating’ and ‘house-keeping’ roles as a result of the right-hemispheric property is broader compared to the hemisphere and spans across totally different modalities so facilitating the formation of associative recollections. The relative roles of each hemispheres within the resting state and sleep-related processes area unit nevertheless unknown however the recent findings on neural structure imbalance of practical property encourage any studies of the role of each hemispheres in several practical states of the brain.

REFERENCES:1. Friston KJ, Frith CD, Liddle PF, Frackowiak RS. Functional connectivity: the principal-component analysis of large (PET) data sets. J Cereb Blood Flow Metab. 1993; 13: 5-14. 2. De Luca M, Beckmann CF, De Stefano N, Matthews PM, Smith SM. fMRI resting state networks define distinct modes of long-distance interactions in the human brain. Neuroimage. 2006; 29: 1359-67. 3. Hoshi Y, Kosaka S, Xie Y, Kohri S, Tamura M. Relationship between fluctuations in the cerebral hemoglobin oxygenation state and neuronal activity under resting conditions in man. Neurosci Lett. 1998; 245: 147-50. 4. Obrig H, Neufang M, Wenzel R, Kohl M, Steinbrink J, Einhäupl K, et al. Spontaneous low frequency oscillations of cerebral hemodynamics and metabolism in human adults. Neuroimage. 2000; 12: 623-39. 5. Toronov V, Franceschini MA, Filiaci M, Fantini S, Wolf M, Michalos A, et al. Near-infrared study of fluctuations in cerebral hemodynamics during rest and motor stimulation: temporal analysis and spatial mapping. Med Phys. 2000; 27: 801-15. 6. Rykhlevskaia E, Fabiani M, Gratton G. Lagged covariance structure models for studying functional connectivity in the brain. Neuroimage. 2006; 30: 1203-18. 7. White BR, Snyder AZ, Cohen AL, Petersen SE, Raichle ME, Schlaggar BL, et al. Resting-state functional connectivity in the human brainrevealed with diffuse optical tomography. Neuroimage. 2009; 47: 148-56. 8. Lu CM, Zhang YJ, Biswal BB, Zang YF, Peng DL, Zhu CZ. Use of fNIRS to assess resting state functional connectivity. J Neurosci Methods. 2010; 186: 242-9. 9. Zhang YJ, Lu CM, Biswal BB, Zang YF, Peng DL, Zhu CZ. Detecting resting-state functional connectivity in the language system using functional near-infrared spectroscopy. J Biomed Opt. 2010; 15: 047003. 10. Hu XS, Hong KS, Ge SS. Reduction of trial-to-trial variability in functional near-infrared spectroscopy signals by accounting for resting-state functional connectivity. J Biomed Opt. 2013; 18: 17003. 11. Liu H, Stufflebeam SM, Sepulcre J, Hedden T, Buckner RL. Evidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors. Proc Natl Acad Sci U S A. 2009; 106: 20499-503. 12. Yan H, Zuo XN, Wang D, Wang J, Zhu C, Milham MP, et al.Hemispheric asymmetry in cognitive division of anterior cingulate cortex: a resting- state functional connectivity study. Neuroimage. 2009; 47: 1579-89. 13. Saenger VM, Barrios FA, Martínez-Gudiño ML, Alcauter S. Hemispheric asymmetries of functional connectivity and grey matter volume in the default mode network. Neuropsychologia. 2012; 50: 1308-15. 14. Tomasi D, Volkow ND. Laterality patterns of brain functional connectivity: gender effects. Cereb Cortex. 2012; 22: 1455-62. 15. Tucker DM, Roth DL, Bair TB. Functional connections among cortical regions: topography of EEG coherence. Electroencephalogr Clin Neurophysiol. 1986; 63: 242-50. 16. Thatcher RW, Biver CJ, North D. Spatial-temporal current source correlations and cortical connectivity. Clin EEG Neurosci. 2007; 38: 35-48. 17. Kinsbourne M. Mechanisms of hemisphere interaction in man. In: Kinsbourne, M., Smith, L., (Eds.). Hemispheric Disconnection and Cerebral Function, Thomas, Springfield, IL, 1974; pp. 71-96. 18. Medvedev AV. Does the resting state connectivity have hemispheric asymmetry? A near-infrared spectroscopy study. Neuroimage. 2013. doi: 10.1016/j. neuroimage.2013.05.092

Citation:

Andrei V. Medvedev. Near-Infrared Light Shines on Brain Networks. Journal of Obesity Research 2024.

Journal Info

  • Journal Name: Journal of Obesity Research
  • Impact Factor: 1.6**
  • ISSN: 2995-6358
  • DOI: 10.52338/jobr
  • Short Name: JOBR
  • Acceptance rate: 55%
  • Volume: 6 (2024)
  • Submission to acceptance: 25 days
  • Acceptance to publication: 10 days
  • Crossref indexed journal
  • Publons indexed journal
  • Pubmed-indexed journal
  • International Scientific Indexing (ISI)-indexed journal
  • Eurasian Scientific Journal Index (ESJI) index journal
  • Semantic Scholar indexed journal
  • Cosmos indexed journal

OUR PUBLICATION BENEFITS

  • International Reach
  • Peer Review
  • Rapid Publication
  • Open Access
  • High Visibility