Dr Kathrin Cohen Kadosh


Senior Lecturer in Developmental Cognitive Neuroscience
Thur 1-4pm (during semester)

Biography

Research

Research interests

Affiliations

SBD lab @ Surrey

My publications

Highlights

Journal articles

Johnstone, N., & Cohen Kadosh, K. (in press). Why a developmental cognitive neuroscience approach may be key for future-proofing microbiota-gut-brain research: commentary on Microbiota-gut-brain research: a critical analysis. Brain and Behavioural Sciences. 

Staunton, G.P., & Cohen Kadosh, K. (2019). A systematic review of the psychological factors that influence neurofeedback learning outcomes. NeuroImage. 15: 545-555. doi: 10.1016/j.neuroimage.2018.10.021.

Cohen Kadosh, K., Haller, S. P. W., Schliephake, L., Duta, M. D., Scerif, G., & Lau, J. Y. F. (2018). Subclinically anxious adolescents do not display attention biases when processing emotional faces - an eye-tracking study. Frontiers: Cognition. 9: 1584. doi: 10.3389/fpsyg.2018.01584. pdf

Haller, S.P.W., Mills, K.L., Hartwright, C.E., David, A. S., & Cohen Kadosh, K. (2018). When change is the only constant: The promise of longitudinal neuroimaging in understanding social anxiety disorder. Developmental Cognitive Neuroscience. 33: 73-82. doi.org/10.1016/j.dcn.2018.05.005. pdf

Steinbeis, N, Crone, E., Blakemore, S-J., & Cohen Kadosh, K. (2017). Development holds the key to understanding the interplay of nature versus nurture in shaping the individual. Developmental Cognitive Neuroscience. 25: 1-4. doi: 10.1016/j.dcn.2017.05.006.

Haller, S.P.W., Doherty, B., Duta., M., Cohen Kadosh, K., Lau, J.Y.F., & Scerif, G., (2017). Attention allocation and social worries predict interpretations of peer-related social cues in adolescents. Developmental Cognitive Neuroscience. 25: 105-112. doi: 10.1016/j.dcn.2017.03.004. pdf

Fuhrmann, D., Knoll, L.J., Sakhardande, A.L., Speekenbring, M., Cohen Kadosh, K., & Blakemore S.-J. (2017). Perception and recognition of faces in adolescence. Scientific Reports. 6. 33497 doi:10.1038/srep33497. pdf

Shore, T., Cohen Kadosh, K., Lommen, M., Cooper, M., & Lau, J.Y.F. (2017). Investigating the effectiveness of brief cognitive reappraisal training to reduce fear in adolescents. Cognition and Emotion. 31(4): 806-815. doi:10.1080/02699931.2016.1159542.

Cohen Kadosh, K., Lisk, S., & Lau, J.Y.F. (2016). The Ethics of (Neuro) Feeding Back to the Developing Brain. American Journal of Bioethics Neuroscience. 7(2): 132-133, doi:10.1080/21507740.2016.1189979. pdf

Shore, T., Cohen Kadosh, K., Lommen, M., Cooper, M., & Lau, J.Y.F. (2016). Investigating the effectiveness of brief cognitive reappraisal training to reduce fear in adolescents. Cognition and Emotion. doi:10.1080/02699931.2016.1159542pdf

Haller, S.P.W., Cohen Kadosh, K., Scerif, G., & Lau, J.Y.F. (2016). Measuring online interpretations and attributions of social situations: links with adolescent social anxiety. Journal of Behavior Therapy and Experimental Psychiatry. 50: 250-256. doi:10.1016/j.jbtep.2015.09.009. pdf

Cohen Kadosh, K., Luo, Q., De Burca, C., Sokunbi, M., Feng, J., Linden, D.E.J., & Lau, J.Y.F. (2016).Using real-time fMRI to influence effective connectivity in the developing emotion regulation network. NeuroImage. 15(125): 616-26. doi:10.1016/j.neuroimage.2015.09.070. pdf

Cohen Kadosh, K., Krause, B., King, A., Near, J., & Cohen Kadosh, R. (2015). Linking GABA and glutamate to cognitive skill acquisition in development. Human Brain Mapping. 36(11): 4334-4345. doi:10.1002/hbm.22921. pdf

Cohen Kadosh, K., Haddad, A.D.M., Heathcote, L.C., Murphy, R.A., Pine, D.S., & Lau, J.Y.F. (2015). High trait anxiety during adolescence interferes with discriminatory context and safety learning. Neurobiology of Learning and Memory. 123: 50-57. doi:10.1016/j.nlm.2015.05.002. pdf

Fonville, L., Cohen Kadosh, K., Drakesmith, M., Zammit, S., Reichenberg, A., Mollon, J., Lewis, G., Jones, D.K., & David, A. (2015). Psychotic Experiences, Working Memory and the Developing Brain: a Multimodal Neuroimaging Study. Cerebral Cortex. 25 (12): 4828. doi:10.1093/cercor/bhv181. pdf

Haller, S.P.W., Cohen Kadosh, K., Scerif, G., & Lau, J.Y.F. (2015). Social anxiety disorder: a new developmental cognitive neuroscience approach to uncover risk factors during adolescence. Developmental Cognitive Neuroscience. 13: 11-20. doi:10.1016/j.dcn.2015.02.002. pdf

Haller, S.P., Cohen Kadosh, K., & Lau, J.Y.F. (2014). A developmental angle to understanding the mechanisms of biased cognition in social anxiety. Frontiers in Human Neuroscience. 7: 846.doi: 10.3389/fnhum.2013.00846. pdf

Cohen Kadosh, K., Heathcote, L.C., & Lau, J.Y.F. (2014). Age-related changes in attentional control across adolescence: How does this impact emotion regulation capacities? Frontiers in Psychology. 5, 111. doi:10.3389/fpsyg.2014.00111. pdf

Platt, B., Cohen Kadosh, K., & Lau, J.Y.F. (2013). The role of peer rejection in adolescent depression. Depression and Anxiety. 30(9): 809-821. doi:10.1002/da.22120. pdf

Cohen Kadosh, K., Linden, D.E.J., & Lau, J.Y.F. (2013). Plasticity during childhood and adolescence: innovative approaches to investigating neurocognitive development. Developmental Science. 6(4): 574-83. doi:10.1111/desc.12054. pdf

Cohen Kadosh, K., Johnson, M.H., Henson, R.N.A., Dick, F., & Blakemore, S.-J. (2013). Differential face-network adaptation in children, adolescents and adults. Neuroimage. 69C, 11. doi:10.1016/j.neuroimage.2012.11.060. pdf

Cohen Kadosh, K., Johnson, M.H., Dick, F., Cohen Kadosh, R., & Blakemore, S.-J. (2013). Effects of age, task performance, and structural brain development on face processing. Cerebral Cortex. 3(7): 1630-42. doi: 10.1016/j.neuroimage.2012.11.060. pdf

Benn, Y., Wilkinson, I. D., Zeng, Y., Cohen Kadosh, K., Romanowski, C.A.J., Siegal, M., & Varley, R. (2013). Differentiating core and co-opted mechanisms in calculation: The neuroimaging of calculation in aphasia. Brain and Cognition. 82(3): 254-264. doi:10.1111/desc.12054. pdf

Cohen Kadosh, K. (2012). Differing processing abilities for specific face properties in mid-childhood and adulthood. Frontiers in Developmental Psychology. 2(400). doi:10.3389/fpsyg.2011.00400. pdf

Burnett, S., Sebastian, C., Cohen Kadosh, K., & Blakemore, S.-J. (2011). The social brain in adolescence: evidence from functional magnetic resonance imaging and behavioural studies. Neuroscience and Biobehavioral Reviews. 35(8), 1654-1564. doi:10.1016/j.neubiorev.2010.10.011. pdf

Cohen Kadosh, K. (2011). What can emerging cortical face networks tell us about mature brain organisation?Developmental Cognitive Neuroscience. 1(3), 246-255. doi:10.1016/j.dcn.2011.02.001. pdf

Cohen Kadosh, K., Cohen Kadosh, R., Dick, F., & Johnson, M.H. (2011). Developmental changes in effective connectivity in the core face network. Cerebral Cortex. 21: 139-1394. doi:10.1093/cercor/bhq215. pdf

Cohen Kadosh, K., Walsh, V., & Cohen Kadosh, R.(2011). TMS to the right OFA impairs the processing of specific face properties. Social Cognitive and Affective Neuroscience.6(1): 58-65. doi:10.1093/scan/nsq015. pdf

Mercure, E., Cohen Kadosh, K., & Johnson, M.H. (2011). The N170 shows differential repetition suppression effects for faces, objects and orthographic stimuli. Human Frontiers in Neuroscience. 5, doi:10.3389/fnhum.2011.00006. pdf

Cohen Kadosh, K., Henson, R.N.A., Cohen Kadosh, R., Johnson, M.H., & Dick, F. (2010). Task-dependent activation in face-sensitive cortex: an fMRI adaptation study. Journal of Cognitive Neuroscience. 22(5): 903–917. pdf

Johnson, M.H., Grossmann, T., & Cohen Kadosh, K.(2009). Mapping functional brain development: Building a social brain through Interactive Specialization. Developmental Psychology. 45: 151-159.  doi:10.1037/a0014548. pdf

Cohen Kadosh, R., Cohen Kadosh, K., & Henik, A. (2008). When Brightness Counts: The Neuronal Correlate of Numerical-Luminance Interference. Cerebral Cortex.18: 337-343. doi:10.1093/cercor/bhm058. pdf

Cohen Kadosh, R., Cohen Kadosh, K., Henik, A., & Linden, D.E.J. (2008). Processing conflicting information: Facilitation, interference, and functional connectivity. Neuropsychologia. 46(12): 2872-2879. doi:10.1016/j.neuropsychologia.2008.05.025. pdf

Cohen Kadosh, K., & Johnson, M.H. (2007). Developing a cortex specialized for face perception. Trends in Cognitive Sciences. 11(9): 367-369. doi:10.1016/j.tics.2007.06.007. pdf

Cohen Kadosh, R., Cohen Kadosh, K., & Henik, A. (2007). The Neural Correlate of Bi-Directional Synaesthesia. A combined ERP and fMRI study. Journal of Cognitive Neuroscience. 19: 2050-2059. pdf

Cohen Kadosh, R., Cohen Kadosh, K., Kaas, A., Henik, A., & Goebel, R. (2007). Notation-dependent and independent representations of numbers in the parietal lobes. Neuron. 53(2): 307-314. doi:10.1016/j.neuron.2006.12.025. pdf

Cohen Kadosh, R., Cohen Kadosh, K., Linden, D.E.J., Gevers, W., Berger, A., & Henik, A. (2007). The brain locus of interaction between number and size: A combined functional magnetic resonance imaging and event-related potential study. Journal of Cognitive Neuroscience. 19: 957-970. pdf

Cohen Kadosh, R., Cohen Kadosh, K., Schumann, T., Kaas, A., Goebel, R., Henik, A., & Sack, A.T. (2007). Virtual dyscalculia induced by parietal lobe TMS impairs automatic magnitude processing. Current Biology. 17(8): 689-693.  doi:10.1016/j.cub.2007.02.056. pdf

Bledowski, C., Cohen Kadosh, K., Wibral, M., Rahm, B., Bittner, R.A., Hoechstetter, K., Scherg, M., Maurer, K., Goebel, R., & Linden, D. E. J. (2006). Mental Chronometry of Working Memory Retrieval: A Combined fMRI and ERP approach. Journal of Neuroscience. 26(3): 821-829. doi:10.1523/JNEUROSCI.3542-05.2006. pdf

Book chapters

Haller, S.P., & Cohen Kadosh, K. (in press). A developmental approach to understanding psychiatric disorders: mapping etiological pathways. In: Savulescu, J.  Rethinking Biopsychosocial Psychiatry. (1st edition, pp).Oxford: University Press.

Pittner, K., Cohen Kadosh, K., & Lau, J.Y.F. (2016). Child and adolescent anxiety: Does fear conditioning play a role?. In: Murphy, R.A., & Honey, R.C. The Wiley Handbook on the Cognitive Neuroscience of Learning. (1st edition, pp.). Wiley: NJ USA. pdf

Cohen Kadosh, K., & Haller, S. P. (2015). The Social Brain in Childhood andAdolescence. In: Arthur W. Toga, editor. Brain Mapping: An Encyclopedic Reference. (1st edition, vol. 3, pp.171-175). Academic Press: Elsevier. pdf

Blakemore, S.-J., Cohen Kadosh, K., Sebastian, C., Grossmann, T., & Johnson, M.H. (2014). Development of the social brain. In: Mareschal, Butterworth & Tolmie: The Wiley-Blackwell Handbook of Educational Neuroscience. (1st edition, pp: 268-297). Wiley-Blackwell. pdf

Burnett, S, Sebastian, C., & Cohen Kadosh, K (2012). Brain development and the emergence of social function. In: Andersen & Beauchamp: Developmental social neuroscience and childhood brain insult: Implications for theory and practice. (1st edition, pp: 45-65). New York: Guilford Press.

Talks

20.06.2019 Talk, Conference on Developmental Changes in Paediatric Neurodisability, University of Groningen, Groningen, The Netherlands. Title: Development in childhood and adolescence- from brain to behaviour and back.

28.03.2019 Talk, National Institute of Health, Bethesda, USA. Title: Real-time fMRI-based neurofeedback and the developing brain.

31.10.2018 Talk, Ben-Gurion University of the Negev, Beer Sheva, Israel. Title: The role of the microbiota-gut-brain axis in brain development and mental health.

12.12.2017  Talk, Birkbeck College, London. Title: Using fMRI-based neurofeedback to train emotion-regulation networks in adolescents.

17.10.2017  Talk, Annual Meeting, Braintrain Consortium, Leipzig, Germany. Title: Functional connectivity-based neurofeedback and the developing brain.

11.10.2017 Talk, World Congress of Psychiatry, Berlin, Germany. Title: Using neurofeedback to train emotion-regulation networks in high-anxious adolescents.

26.05. 2017 Teacher training session, Haberdashers Aske's School for Boys and Girls, Elstree. Title: Development in childhood and adolescence- from brain to behaviour and back. 

19.05.2017  Talk, Society for Biological Psychiatry, San Diego, USA. Title: FMRI-based neurofeedback under the microscope.

31.01.2017  Public lecture, Cafe Scientifique, Bradfield College, Bradfield. Title: Is youth wasted on the young?

09.01.2017  Teacher training session, St Catherine's School, Bramley. Title: The developing social brain in childhood and adolescence: challenges and opportunities.

04.01.2017 University of Surrey, ExciTeS 2017,Discussion round with K. Zajacova. Title:  Road map through the glass ceiling: teaching students to self-guide towards achieving better grades.  

28.09.2016 Opening keynote address, Project meeting 'Unge med erhvervet hjerneskade, helping young people with acquired brain injury'. Aalborg, Denmark. Title: The developing brain in childhood and adolescence

23.02.2016 Opening keynote address, GSA Deputy Heads & Senior Leaders Conference. Nottingham. Title: The developing social brain in childhood and adolescence

09.02.2016 Talk, University of Sussex, School of Psychology, Brighton. Title: Plasticity and excitability in the developing brain

02.02.2016 Talk, University of Birmingham, Department of Psychology, Birmingham. Title: Cortical excitability and plasticity in developing brain networks during childhood and adolescence

26.01.2016 Talk, University of Copenhagen, Copenhagen, Denmark. Title: Neuro-cognitive development in adolescence: the case of social functioning

22.11.2016  Talk 2 Ur Brain Symposium Tel Aviv, Israel. Title: FMRI-based neurofeedback and the developing emotion network

11.11.2015  One-day workshop, Organization for Childneuropsychologist, Copenhagen, Denmark. Title:The social brain in adolescence

16.10.2015 Talk, University of Sheffield. Department of Psychology, Sheffield. Title: Investigating cortical excitability and plasticity in developing brain networks during childhood and adolescence

27.09.2015   Names Not Numbers, Panel Discussion, Oxford. Title: Understanding Generation Z

18.09.2015 Talk, Flux Conference, Leiden, The Netherlands. Title: FMRI-based neurofeedback and the developing emotion network

20.04.2015 - 24.04.2015  Participant in ‘I’m a scientist, get me out of here’, funded by the Wellcome Trust and the National Science Foundation.

18.10.2014  Keynote address 3rd International Congress on Borderline Personality Disorder, European Society for the Study of Personality Disorders, Rome, Italy. Title:Neuro-cognitive development during childhood and adolescence

18.06.2014 Talk, Summer school: ‘What faces can reveal about social and cognitive processes, Milan, Italy. Title: Face processing abilities: a model for studying brain development during childhood and adolescence

02.04.2014 Talk, ESRC workshop: ‘'Mechanisms of social perception in adolescence, Goldsmiths College, London. Title: Face processing in childhood and adolescence.

28.11.2013  Talk, Annual Congress, Deutsche Gesellschaft fuer Psychiatrie, Psychotherapie, Psychosomatik und Nervenheilkunde, Berlin, Germany. Title: Combining real-time fMRI neurofeedback and cognitive training in adolescence

23.05.2013  Talk, 5th European Meeting on Human Fear Conditioning, Affligem, Belgium. Title: Trait anxiety levels modulate threat-learning during adolescence

18.01.2013   Opening keynote address, Annual retreat, Centre for Mental Health, Freudenstadt, Germany. Title: Neurocognitive development during childhood and adolescence

08.09.2011   One-day seminar for the Danish Psychological Society, Copenhagen, Denmark. Title: The social brain in adolescence.

27.03.2011  Keynote lecture, BioVision 2011, Lyon, France. Title: The social brain during adolescence.

09.03.2011  Talk, University of Reading, Department of Psychology, Reading. Title: The developing social brain

23.02.2011  Talk, Brunel University, Uxbridge. Title: The developing social brain: the case of face processing

8.12.2010  Talk, The Hebrew University, Department of Psychology, Jerusalem, Israel. Title: The developing social brain: childhood through adolescence

17.11.2010  Talk, University of Oxford, Department of Psychology, Oxford. Title: Pinpointing the emerging cortical networks for face processing from childhood through adulthood

19.10.2010  Talk, University of York, Department of Psychology, York. Title: The developing social brain: the case of face processing

14.05.2010  Talk, Section of Development and Affective Neuroscience, National Institute of Mental Health, Bethesda, Maryland, USA. Title: Emerging patterns of cortical specialisation: the case of face processing

09.-11.09.2009  Symposium organised for the BPS Developmental Section Conference, University of Nottingham. Title: Becoming a face expert: developmental evidence for the emergence of face-processing abilities in infants, children and young chicks

19.5.2009   Workshop for Developmental Neuroimaging, Amsterdam, The Netherlands. Title: Developmental trajectories of cortical specialisation: the case of face processing. 

31.10.2008   University of Salzburg, Department of Psychology, Salzburg, Austria. Title: Cortical specialisation for face processing skills

17.09.2008   Talk, Developmental Cognitive Neuroscience Unit, Institute for Child Health, University College London, London. Title: Developing a cortex specialised for face perception: an fMRI study

01.09.2008   Talk, BPS Developmental Section Conference, Oxford Brookes University, Oxford. Title: The emergence of face specialised cortical areas: An fMRI study

18.07.2003   Talk, University of Würzburg, Arbeitskreis Bildgebung und EEG in der   Psychiatrie (AKBE) Klinik für Psychiatrie und Psychotherapie, Würzburg, Germany. Title: P300 Generation - Towards the Localisation of the Categorizational Network

01.01.2002   Talk, Ben-Gurion University, Department of Behavioural Sciences, Beer- Sheva, Israel. Title: P300 and Working Memory - Investigating Retrieval Activity with ERP and fMRI

Publications

C Zich, NICOLA JOHNSTONE, Michael Lührs, Stephen Lisk, Simone P.W. Haller, Annalisa Lipp, Jennifer Y.F. Lau, KATHRIN COHEN KADOSH (2020)Modulatory effects of dynamic fMRI-based neurofeedback on emotion regulation networks in adolescent females, In: NeuroImage (Orlando, Fla.)220pp. 117053-117053 Elsevier Inc
Research has shown that difficulties with emotion regulation abilities in childhood and adolescence increase the risk for developing symptoms of mental disorders, e.g anxiety. We investigated whether functional magnetic resonance imaging (fMRI)-based neurofeedback (NF) can modulate brain networks supporting emotion regulation abilities in adolescent females. We performed three experiments (Experiment 1: N ​= ​18; Experiment 2: N ​= ​30; Experiment 3: N ​= ​20). We first compared different NF implementations regarding their effectiveness of modulating prefrontal cortex (PFC)-amygdala functional connectivity (fc). Further we assessed the effects of fc-NF on neural measures, emotional/metacognitive measures and their associations. Finally, we probed the mechanism underlying fc-NF by examining concentrations of inhibitory and excitatory neurotransmitters. Results showed that NF implementations differentially modulate PFC-amygdala fc. Using the most effective NF implementation we observed important relationships between neural and emotional/metacognitive measures, such as practice-related change in fc was related with change in thought control ability. Further, we found that the relationship between state anxiety prior to the MRI session and the effect of fc-NF was moderated by GABA concentrations in the PFC and anterior cingulate cortex. To conclude, we were able to show that fc-NF can be used in adolescent females to shape neural and emotional/metacognitive measures underlying emotion regulation. We further show that neurotransmitter concentrations moderate fc–NF–effects. •Neurofeedback implementations differentially modulate PFC-amygdala connectivity.•Functional connectivity neurofeedback affect measures of emotion regulation.•Neurotransmitter concentrations moderate neurofeedback effects.
NICOLA JOHNSTONE, KATHRIN COHEN KADOSH (2019)Why a developmental cognitive neuroscience approach may be key for future-proofing microbiota-gut-brain research, In: The Behavioral and brain sciences42 Cambridge University Press
Here we argue that a multidisciplinary research approach, such as currently practised in the field of developmental cognitive neuroscience, is key to maintaining current momentum and to future-proof the field of microbiome-gut-brain research. Moreover, such a comprehensive approach will also bring us closer to our aims of translation and targeted intervention approaches to improve mental health and well-being.
NICOLA JOHNSTONE, Chiara Milesi, Olivia Burn, Bartholomeus van den Bogert, Arjen Nauta, KATHRYN HAYLEY HART, Paul T. Sowden, Philip W J Burnet, KATHRIN COHEN KADOSH (2021)Anxiolytic effects of a galacto-oligosaccharides prebiotic in healthy females (18-25 years) with corresponding changes in gut bacterial composition, In: Scientific reports11(1)pp. 8302-8302
Current research implicates pre- and probiotic supplementation as a potential tool for improving symptomology in physical and mental ailments, which makes it an attractive concept for clinicians and consumers alike. Here we focus on the transitional period of late adolescence and early adulthood during which effective interventions, such as nutritional supplementation to influence the gut microbiota, have the potential to offset health-related costs in later life. We examined multiple indices of mood and well-being in 64 healthy females in a 4-week double blind, placebo controlled galacto-oligosaccharides (GOS) prebiotic supplement intervention and obtained stool samples at baseline and follow-up for gut microbiota sequencing and analyses. We report effects of the GOS intervention on self-reported high trait anxiety, attentional bias, and bacterial abundance, suggesting that dietary supplementation with a GOS prebiotic may improve indices of pre-clinical anxiety. Gut microbiota research has captured the imagination of the scientific and lay community alike, yet we are now at a stage where this early enthusiasm will need to be met with rigorous research in humans. Our work makes an important contribution to this effort by combining a psychobiotic intervention in a human sample with comprehensive behavioural and gut microbiota measures.
D Fuhrmann, LJ Knoll, AL Sakhardande, M Speekenbrink, K Cohen Kadosh, S-J Blakemore (2016)Perception and recognition of faces in adolescence, In: Scientific Reports633497 Nature Publishing Group
Most studies on the development of face cognition abilities have focussed on childhood, with early maturation accounts contending that face cognition abilities are mature by 3–5 years. Late maturation accounts, in contrast, propose that some aspects of face cognition are not mature until at least 10 years. Here, we measured face memory and face perception, two core face cognition abilities, in 661 participants (397 females) in four age groups (younger adolescents (11.27–13.38 years); mid-adolescents (13.39–15.89 years); older adolescents (15.90–18.00 years); and adults (18.01–33.15 years)) while controlling for differences in general cognitive ability. We showed that both face cognition abilities mature relatively late, at around 16 years, with a female advantage in face memory, but not in face perception, both in adolescence and adulthood. Late maturation in the face perception task was driven mainly by protracted development in identity perception, while gaze perception abilities were already comparatively mature in early adolescence. These improvements in the ability to memorize, recognize and perceive faces during adolescence may be related to increasing exploratory behaviour and exposure to novel faces during this period of life.
Stephanie Burnett, Catherine Sebastian, Kathrin Cohen Kadosh, Sarah-Jayne Blakemore The social brain in adolescence: Evidence from functional magnetic resonance imaging and behavioural studies, In: Neuroscience & Biobehavioral Reviews35(8)pp. 1654-1664
Simone P.W. Haller, Sophie M. Raeder, Gaia Scerif, Kathrin Cohen Kadosh, Jennifer Y.F. Lau Measuring online interpretations and attributions of social situations: Links with adolescent social anxiety, In: Journal of Behavior Therapy and Experimental Psychiatry50pp. 250-256
Kathrin Cohen Kadosh, Anneke D.M. Haddad, Lauren C. Heathcote, Robin A. Murphy, Daniel S. Pine, Jennifer Y.F. Lau High trait anxiety during adolescence interferes with discriminatory context learning, In: Neurobiology of Learning and Memory123pp. 50-57
Tim Shore, Kathrin Cohen Kadosh, Miriam Lommen, Myra Cooper, Jennifer Y. F. Lau Investigating the effectiveness of brief cognitive reappraisal training to reduce fear in adolescents, In: Cognition and Emotionpp. 1-10
Kathrin Cohen Kadosh, Stephen Lisk, Jennifer Y. F. Lau The Ethics of (Neuro) Feeding Back to the Developing Brain, In: AJOB Neuroscience7(2)pp. 132-133
Leon Fonville, Kathrin Cohen Kadosh, Mark Drakesmith, Anirban Dutt, Stanley Zammit, Josephine Mollon, Abraham Reichenberg, Glyn Lewis, Derek K. Jones, Anthony S. David Psychotic Experiences, Working Memory, and the Developing Brain: A Multimodal Neuroimaging Study, In: Cerebral Cortex25(12)pp. 4828-4838
Belinda Platt, Kathrin Cohen Kadosh, Jennifer Y.F. Lau THE ROLE OF PEER REJECTION IN ADOLESCENT DEPRESSION, In: Depression and Anxiety30(9)pp. 809-821
Kathrin Cohen Kadosh, David E.J. Linden, Jennifer Y.F. Lau Plasticity during childhood and adolescence: innovative approaches to investigating neurocognitive development, In: Developmental Science16(4)pp. 574-583
Kathrin Cohen Kadosh What can emerging cortical face networks tell us about mature brain organisation?, In: Developmental Cognitive Neuroscience1(3)pp. 246-255
Simone P. W. Haller, Kathrin Cohen Kadosh, Jennifer Y. F. Lau A developmental angle to understanding the mechanisms of biased cognitions in social anxiety, In: Frontiers in Human Neuroscience7
Simone P.W. Haller, Kathrin Cohen Kadosh, Gaia Scerif, Jennifer Y.F. Lau Social anxiety disorder in adolescence: How developmental cognitive neuroscience findings may shape understanding and interventions for psychopathology, In: Developmental Cognitive Neuroscience13pp. 11-20
K. Cohen Kadosh, R. Cohen Kadosh, F. Dick, M. H. Johnson Developmental Changes in Effective Connectivity in the Emerging Core Face Network, In: Cerebral Cortex21(6)pp. 1389-1394
Kathrin Cohen Kadosh, Mark H. Johnson, Richard N.A. Henson, Frederic Dick, Sarah-Jayne Blakemore Differential face-network adaptation in children, adolescents and adults, In: NeuroImage69pp. 11-20
K Cohen Kadosh, MH Johnson, F Dick, R Cohen Kadosh, SJ Blakemore (2013)Effects of age, task performance, and structural brain development on face processing, In: Cerebral Cortex23(7)pp. 1630-1642
In this combined structural and functional MRI developmental study, we tested 48 participants aged 7-37 years on 3 simple face-processing tasks (identity, expression, and gaze task), which were designed to yield very similar performance levels across the entire age range. The same participants then carried out 3 more difficult out-of-scanner tasks, which provided in-depth measures of changes in performance. For our analysis we adopted a novel, systematic approach that allowed us to differentiate age-from performance-related changes in the BOLD response in the 3 tasks, and compared these effects to concomitant changes in brain structure. The processing of all face aspects activated the core face-network across the age range, as well as additional and partially separable regions. Small task-specific activations in posterior regions were found to increase with age and were distinct from more widespread activations that varied as a function of individual task performance (but not of age). Our results demonstrate that activity during face-processing changes with age, and these effects are still observed when controlling for changes associated with differences in task performance. Moreover, we found that changes in white and gray matter volume were associated with changes in activation with age and performance in the out-of-scanner tasks. © 2012 The Author.
K Cohen Kadosh, RNA Henson, R Cohen Kadosh, MH Johnson, F Dick (2010)Task-dependent activation of face-sensitive cortex: An fMRI adaptation study, In: Journal of Cognitive Neuroscience22(5)pp. 903-907
■ Face processing in the human brain recruits a widespread cortical network based mainly in the ventral and lateral temporal and occipital lobes. However, the extent to which activity within this network is driven by different face properties versus being determined by the manner in which faces are processed (as determined by task requirements) remains unclear. We combined a functional magnetic resonance adaptation paradigm with three target detection tasks, where participants had to detect a specific identity, emotional expression, or direction of gaze, while the task-irrelevant face properties varied independently. Our analysis focused on differentiating the influence of task demands and the processing of stimulus changes within the neural network underlying face processing. Results indicated that the fusiform and inferior occipital gyrus do not respond as a function of stimulus change (such as identity), but rather their activity depends on the task demands. Specifically, we hypothesize that, whether the task encourages a configuralor a featural-processing strategy determines activation. Our results for the superior temporal sulcus were even more specific in that we only found greater responses to stimulus changes that may engage featural processing. These results contribute to our understanding of the functional anatomy of face processing and provide insights into possible compensatory mechanisms in face processing. ■ © 2009 Massachusetts Institute of Technology.
Mark H. Johnson, Tobias Grossmann, Kathrin Cohen Kadosh Mapping functional brain development: Building a social brain through interactive specialization., In: Developmental Psychology45(1)pp. 151-159
Kathrin Cohen Kadosh, Vincent Walsh, Roi Cohen Kadosh Investigating face-property specific processing in the right OFA, In: Social Cognitive and Affective Neuroscience6(1)pp. 58-65
Mark H. Johnson, Kathrin Cohen Kadosh, Evelyne Mercure The N170 Shows Differential Repetition Effects for Faces, Objects, and Orthographic Stimuli, In: Frontiers in Human Neuroscience5
K Cohen Kadosh, Q Luo, C de Burca, MO Sokunbi, J Feng, DEJ Linden, JYF Lau (2015)Using real-time fMRI to influence effective connectivity in the developing emotion regulation network, In: Neuroimage125pp. 616-626 Elsevier
For most people, adolescence is synonymous with emotional turmoil and it has been shown that early difficulties with emotion regulation can lead to persistent problems for some people. This suggests that intervention during development might reduce long-term negative consequences for those individuals. Recent research has highlighted the suitability of real-time fMRI-based neurofeedback (NF) in training emotion regulation (ER) networks in adults. However, its usefulness in directly influencing plasticity in the maturing ER networks remains unclear. Here, we used NF to teach a group of 17 7–16 year-olds to up-regulate the bilateral insula, a key ER region. We found that all participants learned to increase activation during the up-regulation trials in comparison to the down-regulation trials. Importantly, a subsequent Granger causality analysis of Granger information flow within the wider ER network found that during up-regulation trials, bottom-up driven Granger information flow increased from the amygdala to the bilateral insula and from the left insula to the mid-cingulate cortex, supplementary motor area and the inferior parietal lobe. This was reversed during the down-regulation trials, where we observed an increase in top-down driven Granger information flow to the bilateral insula from mid-cingulate cortex, pre-central gyrus and inferior parietal lobule. This suggests that: 1) NF training had a differential effect on up-regulation vs down-regulation network connections, and that 2) our training was not only superficially concentrated on surface effects but also relevant with regards to the underlying neurocognitive bases. Together these findings highlight the feasibility of using NF in children and adolescents and its possible use for shaping key social cognitive networks during development.
Roi Cohen Kadosh, Kathrin Cohen Kadosh, Avishai Henik, David E.J. Linden Processing conflicting information: Facilitation, interference, and functional connectivity, In: Neuropsychologia46(12)pp. 2872-2879
Kathrin Cohen Kadosh, Mark H. Johnson Developing a cortex specialized for face perception, In: Trends in Cognitive Sciences11(9)pp. 367-369
Kathrin Cohen Kadosh, B Krause, AJ King, J Near, R Cohen Kadosh (2015)Linking GABA and Glutamate Levels to Cognitive Skill Acquisition During Development, In: Human Brain Mapping36pp. 4334-4345 Wiley
Developmental adjustments in the balance of excitation and inhibition are thought to constrain the plasticity of sensory areas of the cortex. It is unknown however, how changes in excitatory or inhibitory neurochemical expression (glutamate, g-aminobutyric acid (GABA)) contribute to skill acquisition during development. Here we used single-voxel proton magnetic resonance spectroscopy (1 H-MRS) to reveal how differences in cortical glutamate vs. GABA ratios relate to face proficiency and working memory abilities in children and adults. We show that higher glutamate levels in the inferior frontal gyrus correlated positively with face processing proficiency in the children, but not the adults, an effect which was independent of age-dependent differences in underlying cortical gray matter. Moreover, we found that glutamate/GABA levels and gray matter volume are dissociated at the different maturational stages. These findings suggest that increased excitation during development is linked to neuroplasticity and the acquisition of new cognitive skills. They also offer a new, neurochemical approach to investigating the relationship between cognitive performance and brain development across the lifespan.
Roi Cohen Kadosh, Kathrin Cohen Kadosh, Teresa Schuhmann, Amanda Kaas, Rainer Goebel, Avishai Henik, Alexander T. Sack Virtual Dyscalculia Induced by Parietal-Lobe TMS Impairs Automatic Magnitude Processing, In: Current Biology17(8)pp. 689-693
Roi Cohen Kadosh, Kathrin Cohen Kadosh, Amanda Kaas, Avishai Henik, Rainer Goebel Notation-Dependent and -Independent Representations of Numbers in the Parietal Lobes, In: Neuron53(2)pp. 307-314