Interpreting and Utilising Intersubject Variability in Brain Function

Seghier, Mohamed L.; Price, Cathy J.

doi:10.1016/j.tics.2018.03.003

Cited by 230 publications

(207 citation statements)

References 138 publications

(199 reference statements)

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“…Indeed, dietary intake of ω-3 PUFAs represent a primary source of individual differences in nutritional status (Ervin, Wright, Wang, & Kennedy-Stephenson, 2004). Moreover, individuals exhibit sizeable inter-individual differences in brain structure and function, which are closely linked to cognitive and behavioral traits (Seghier & Price, 2018). The present study therefore investigated whether plasma biomarkers of ω-3…”

mentioning

confidence: 98%

Nutrient biomarkers shape individual differences in functional brain connectivity: Evidence from omega‐3 PUFAs

Talukdar

Zamroziewicz

Zwilling

et al. 2018

Human Brain Mapping

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A wealth of neuroscience evidence demonstrates that diet and nutrition play an important role in structural brain plasticity, promoting the development of gray matter volume and maintenance of white matter integrity across the lifespan. However, the role of nutrition in shaping individual differences in the functional brain connectome remains to be well established. We therefore investigated whether nutrient biomarkers known to have beneficial effects on brain structure (i.e., the omega‐3 polyunsaturated fatty acids; ω‐3 PUFAs), explain individual differences in functional brain connectivity within healthy older adults (N = 96). Our findings demonstrate that ω‐3 PUFAs are associated with individual differences in functional connectivity within regions that support executive function (prefrontal cortex), memory (hippocampus), and emotion (amygdala), and provide key evidence that the influence of these regions on global network connectivity reliably predict general, fluid, and crystallized intelligence. The observed findings not only elucidate the role of ω‐3 PUFAs in functional brain plasticity and intelligence, but also motivate future studies to examine their impact on psychological health, aging, and disease.

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mentioning

confidence: 98%

Nutrient biomarkers shape individual differences in functional brain connectivity: Evidence from omega‐3 PUFAs

Talukdar

Zamroziewicz

Zwilling

et al. 2018

Human Brain Mapping

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“…There are a number of studies which have assessed this for cerebral cortical activity (Kherif, Josse, Seghier, & Price, 2009;Miller, Donovan, Bennett, Aminoff, & Mayer, 2012;Seghier & Price, 2016;Seghier & Price, 2018). This has the additional advantage that intersubject variability can be determined.…”

mentioning

confidence: 99%

“…This has the additional advantage that intersubject variability can be determined. There are a number of studies which have assessed this for cerebral cortical activity (Kherif, Josse, Seghier, & Price, 2009;Miller, Donovan, Bennett, Aminoff, & Mayer, 2012;Seghier & Price, 2016;Seghier & Price, 2018). For example, Miller et al (2012) found that patterns of fMRI activation in the cerebral cortex during a memory retrieval task differed between individual subjects from the pattern of activity derived from group analysiswhich was attributed to variation in cognitive processing and encoding style.…”

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confidence: 99%

Sensorimotor, language, and working memory representation within the human cerebellum

Ashida

Cerminara

Edwards

et al. 2019

Human Brain Mapping

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The cerebellum is involved in a wide range of behaviours. A key organisational principle from animal studies is that somatotopically corresponding sensory input and motor output reside in the same cerebellar cortical areas. However, compelling evidence for a similar arrangement in humans and whether it extends to cognitive functions is lacking. To address this, we applied cerebellar optimised whole‐brain functional MRI in 20 healthy subjects. To assess spatial overlap within the sensorimotor and cognitive domains, we recorded activity to a sensory stimulus (vibrotactile) and a motor task; the Sternberg verbal working memory (VWM) task; and a verb generation paradigm. Consistent with animal data, sensory and motor activity overlapped with a somatotopic arrangement in ipsilateral areas of the anterior and posterior cerebellum. During the maintenance phase of the Sternberg task, a positive linear relationship between VWM load and activity was observed in right Lobule VI, extending into Crus I bilaterally. Articulatory movement gave rise to bilateral activity in medial Lobule VI. A conjunction of two independent language tasks localised activity during verb generation in right Lobule VI‐Crus I, which overlapped with activity during VWM. These results demonstrate spatial compartmentalisation of sensorimotor and cognitive function in the human cerebellum, with each area involved in more than one aspect of a given behaviour, consistent with an integrative function. Sensorimotor localisation was uniform across individuals, but the representation of cognitive tasks was more variable, highlighting the importance of individual scans for mapping higher order functions within the cerebellum.

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“…While variability is typically treated as a nuisance or noise factor in neuroscience, proper understanding of a phenomenon requires scrutiny of both the group mean and its natural variation (79,80). (This is clearly illustrated by the HPC maps of Fig.…”

Section: Functional Implicationsmentioning

confidence: 99%

Heterogeneous profiles of coupled sleep oscillations in human hippocampus

Cox

Rüber

Staresina

et al. 2019

Preprint

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Cross-frequency coupling of sleep oscillations is thought to mediate memory consolidation. While the hippocampus is deemed central to this process, detailed knowledge of which oscillatory rhythms interact in the human hippocampus is lacking. Combining intracranial hippocampal and non-invasive electroencephalography from twelve neurosurgical patients, we characterized spectral power and coupling during non-rapid eye movement (NREM) and rapid eye movement (REM) sleep. Hippocampal coupling was extensive, with the majority of channels expressing spectral interactions. NREM consistently showed delta-ripple coupling, but ripples were also modulated by slow oscillations (SOs) and sleep spindles. SO-delta and SO-theta coupling, as well as interactions between delta/theta and spindle/beta frequencies also occurred. During REM, limited interactions between delta/theta and beta frequencies emerged. Moreover, oscillatory organization differed substantially between i) hippocampus and scalp, ii) sites along the anterior-posterior hippocampal axis, and iii) individuals. Overall, these results extend and refine our understanding of hippocampal sleep oscillations.

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Interpreting and Utilising Intersubject Variability in Brain Function

Cited by 230 publications

References 138 publications

Nutrient biomarkers shape individual differences in functional brain connectivity: Evidence from omega‐3 PUFAs

Nutrient biomarkers shape individual differences in functional brain connectivity: Evidence from omega‐3 PUFAs

Sensorimotor, language, and working memory representation within the human cerebellum

Heterogeneous profiles of coupled sleep oscillations in human hippocampus

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